The purpose of this study is to evaluate how effective the laboratory information system is in terms of data transmission and website speed at the UNTIRTA VTE Laboratory. To conduct this study, a literature review and direct observation of the data sending and receiving process, as measured by PageSpeed ​​Insights, were used. The results showed that overall, the website performance was good, with optimal FCP and LCP values ​​on desktop and mobile devices. However, elements such as Interaction to Next Paint (INP) and Speed ​​Index (SI) require additional improvements to improve interactivity and access speed. The student dashboard page is considered the main activity center, according to the analysis of user access pattern data. However, pages with large file sizes require better data transmission management to avoid bottlenecks. The student dashboard page is considered the main activity center, according to the analysis of user access pattern data. However, pages with large file sizes require better data transmission management to avoid bottlenecks. This study provides an overview of how effective data transmission and user experience are on the laboratory website and suggests the development of infrastructure and website optimization elements, such as caching and file size reduction. These results contribute to the continuous improvement of the laboratory website, which is very important to meet the data and information service needs of UNTIRTA VTE Laboratory users in real-time.
 
 

This study aims to develop an automatic detection system to improve lift safety through early detection and rapid response to sling failure. The research method uses an experimental approach by designing a 3-story lift prototype that integrates a Raspberry Pi Pico microcontroller as the main processing unit, an HC-SR04 ultrasonic sensor to detect lift position, a limit switch to detect sling failure, and a mechanical braking system using a servo motor. The system is equipped with an I2C LCD for real-time display, Telegram notifications for remote monitoring, and a buzzer alarm as an early warning. The test results show that the ultrasonic sensor has a high accuracy of 97.58% with an average error of 2.42%. The system successfully detects sling failure and activates mechanical braking automatically, preventing the basket from falling freely and allowing it to stop on the nearest floor. All control functions such as navigation buttons, motor rotation direction, and limit switch accuracy work well. This system provides an innovative solution to improve elevator safety through the integration of automatic detection technology, real-time monitoring, and direct physical response that can be applied to the development of future elevator safety technology.

UD. Sarigut Bakery is known as one of several industries that focus on processing bread specifically in the Banda Aceh City area that seeks to produce with a variety of bread. The purpose of this study is to carry out efforts to identify, measure efforts, and analyzing efforts to the phase known to be the cause of the decline in quality of the production process of meses bread through a series of stages of the DMAIC SIX SIGMA methodology. It is known that the main problem is the discovery of disability with a total of 4,096 of the total production of the production of 21896 with a period of 3 months specifically in the dominant disability of Meses bread in the percentage of 81.29%. With the dominant of the disability itself the disability that comes in damaged bread with a percentage of 36.49% present from all of the total disability of related meses bread. After the assessment effort, the DPMO value was obtained by 26723.74 so that there were several levels of Sigma 3, which means it was still far from the world industry level which reached 6σ (3.4 DPMO). Efforts to analyze the data carried out by applying the Fishbone and FMEA (Failure Mode and Effect Analysis) diagrams are known to be related to the cause of the presence of disability from damaged bread with 3 modes of failure in potential, namely bread that is not filled with chocolate with a value of 20, the upper bread with a value of RPN of 80 and failure mode on broken bread with the highest RPN value of 90.

Students' understanding of the concept of motion of objects on inclined planes still shows obstacles, especially when applied in real practice. This study aims to see the extent to which students understand the concept through simple experiments and questionnaires. The main focus of the study was on the results of the practicum, where the block slid faster on a smooth plane (an average of 1.25 seconds) than on a rough plane (an average of 1.61 seconds). This time difference reflects the effect of friction on the motion of objects, but some students were unable to explain the difference correctly. This indicates that there are still misconceptions in understanding the concepts of force and motion. Meanwhile, the results of the questionnaire only reinforced that most students felt the need for direct practice to understand this material. Thus, a practice-based learning approach is very important to strengthen students' conceptual understanding in Basic Physics courses.
 

Empty oil palm bunches processed by palm oil mills in Indonesia are still abundant, reaching 56.35 million tons per year. Empty oil palm bunches contain around 40% cellulose, so they can still be used for various derivative products, one of which is composite products. The use of empty oil palm bunches as raw materials for Bioplastic production is a series of ongoing research, one of which is starch-cellulose blend, but until now it has not been successfully commercialized. The design of the starch cellulose blend bioplastic industry using palm oil as raw material produces two factories, namely a cellulose factory and a composite bioplastic factory. Both factories are designed in separate buildings. The separation of cellulose from TKKS uses a chemical method with soda, after mechanical treatment of size reduction. The industry is designed in 3 scales of production capacity, namely a large scale of 190,000 tons / year, medium 115.00 tons / year, and small 40,000 tons.year. The financial analysis of the three scales of production capacity as a whole is declared feasible. Profit margin is calculated at a minimum of 17.6%. The average payback period is between 3-5 years with an IRR of 24-49%. Analysis of the economic value produces an EScale index of 0.64 which indicates that the economic scale has been achieved. The economic scale of the starch cellulose blend bioplastic industry from TKKS is at a production capacity of 40,000 tons per year with a minimum supply of TKKS raw materials of 20,203 tons/year. At the smallest economic scale, the BEP is actually only 6627.4 tons/year, where this condition can be achieved because the industry has relatively small fixed costs.

Color fastness in Direct to Film (DTF) digital screen printing is influenced by various external factors, one of which is exposure to ultraviolet (UV) light. This study aims to evaluate the impact of UV light on the color stability of DTF prints on two types of fabric, namely 30s cotton and spandex rayon. A quantitative approach was used in this study, involving color difference testing (ΔE), washing simulations, and UV exposure. Based on the analysis results, cotton 30s demonstrated superior color fastness performance compared to spandex rayon, as indicated by lower ΔE values after UV exposure and washing processes. Conversely, spandex rayon experienced more drastic color changes, especially after being washed with bleach detergent. These findings emphasize that the selection of fabric materials and washing methods are critical factors.

The increasing demand for sustainable agricultural practices has led to the adoption of hydroponics, a method of growing plants in nutrient-rich solutions without soil. This method is particularly effective in controlled environments where resource efficiency is paramount. However, the success of hydroponic systems depends heavily on precise nutrient management, especially for micro-nutrients, which are crucial for plant health and productivity. Traditional methods of nutrient monitoring are often labor-intensive and lack the real-time responsiveness needed for optimal nutrient control. This study addresses the challenge of real-time nutrient management in hydroponic systems by developing a miniature sensor system integrated with Internet of Things (IoT) technology. The proposed system is designed to detect micro-nutrient concentrations accurately and transmit data in real-time to a cloud platform for continuous monitoring and automated control. Advanced algorithms are employed for data processing and calibration, ensuring high accuracy in detecting micro-nutrient levels. The system was tested in a controlled hydroponic environment, where it demonstrated high accuracy with minimal error margins, validated by a consistently low Mean Absolute Error (MAE). The integration of IoT allowed for seamless data transmission and real-time analysis, enabling immediate adjustments to nutrient levels as needed. This research contributes to the advancement of precision agriculture by providing an effective solution for real-time nutrient management in hydroponic systems, potentially improving crop yields and resource efficiency.

Grounding incidents are among the most critical maritime accidents, posing significant threats to navigational safety, operational efficiency, and logistics continuity. This study aims to analyze the contributing factors behind the grounding of MV. Tanto Luas in the Mahakam River and to identify effective mitigation efforts. A descriptive qualitative approach was employed, with data collected through direct observation, interviews with ship crew, and documentation during onboard sea practice (PRALA). The findings reveal that the grounding incident was primarily caused by poor communication between MV. Tanto Luas and a tugboat, improper navigational decisions, and shallow, wave-affected waters. The Fishbone Diagram (Cause and Effect Diagram) method was used to systematically identify the root causes of the problem. Mitigation efforts included tank sounding, tidal monitoring, optimal use of navigational equipment, and improved inter-vessel coordination. The study concludes that grounding incidents can be prevented through enhanced communication, strict adherence to navigational procedures, and regular crew training. This research offers both practical and theoretical contributions to the enhancement of maritime safety in narrow waterways such as the Mahakam River.

Soil moisture is a crucial factor in agriculture that affects plant growth and crop productivity. In modern agricultural systems, accurate soil moisture monitoring is essential for optimizing water usage and enhancing the efficiency of automatic irrigation systems. This study aims to develop an Internet of Things (IoT)-based soil moisture monitoring system and evaluate the performance of three types of soil moisture sensors: Soil Moisture FC-28, Capacitive Soil Moisture Sensor, and Soil Moisture Hygrometer Module Sensor. The evaluation compares the accuracy and effectiveness of each sensor in measuring soil moisture. The research methodology involves measuring soil moisture in ten different soil samples using the three sensors simultaneously. The system is based on the ESP32 microcontroller, where data from the sensors are processed and displayed on an LCD Liquid Crystal I2C 20x4. Data analysis is conducted using the one-way ANOVA statistical method to determine whether there are significant differences among the measurement results of the three sensors.The results indicate that each sensor exhibits different measurement characteristics based on its working principle. The Soil Moisture FC-28 sensor, which operates on resistance, shows high sensitivity to changes in soil moisture but is susceptible to corrosion. The Capacitive Soil Moisture Sensor is more durable as it does not have direct contact with the soil, yet it requires more precise calibration. Meanwhile, the Soil Moisture Hygrometer Module Sensor provides more stable results under various environmental conditions. The one-way ANOVA analysis reveals no significant differences in the measurement results among the three sensors.

The digitalization of cultural preservation through education is crucial in the digital era. The Betawi Cultural Community, Sanggar Bale Bambu in Depok, West Java, faces challenges in introducing Betawi culture to the public, particularly in the documentation and management of cultural services. Although many studies on cultural digitalization exist, few educational applications directly collaborate with cultural communities and support cultural services. This study aims to design the User Interface (UI) and User Experience (UX) of a mobile application as a learning medium for Betawi culture and cultural services, beginning with user needs identification to minimize development errors. The method used is Design Thinking, which emphasizes empathetic understanding of user needs and produces innovative solutions. The research process includes problem formulation, empathy, ideation, responsive prototyping using Figma, and qualitative Usability Testing. The result is an application Prototype with six main educational features: pencak silat, ondel-ondel, Betawi music, Betawi accessories, lenong, and palang pintu. Testing showed that the application is easy to use, informative, and effective as a digital medium for introducing Betawi culture. Further research can continue with in-depth quantitative Testing, back-end integration, and broader user Testing for additional validation.

This study evaluates the implementation of Behavior Based Safety (BBS) in improving occupational safety compliance at PT Wichindo Pratama, a heavy equipment manufacturing company with high work risks. The topic was chosen due to frequent violations of safety procedures, such as the improper use of Personal Protective Equipment (PPE) and neglect of Standard Operating Procedures (SOP), which increase the risk of accidents. A qualitative method was used through direct observation, in-depth interviews with 12 shift workers, and field assessments of safety facilities. The findings show that although the company has an Occupational Health and Safety (OHS) management system, non-compliance still occurs. Issues include incomplete PPE usage, disorganized work tools, and unsafe rest habits. Observations revealed potential hazards such as physical (noise), chemical (oil exposure), ergonomic (awkward postures), mechanical (machine use without full PPE), biological, and psychological risks (stress from shift work). BBS is seen as a strategy to connect existing OHS policies with safe work behavior by focusing on mindset and daily habits. The implementation of BBS is expected to reduce accidents and support the creation of a safer, more sustainable workplace.

Small-scale industries such as tofu and tempeh factories play a significant role in the local economy but often face serious issues such as workplace accidents. This study aims to describe the working conditions and their relation to unsafe acts by workers at the XYZ tofu and tempeh factory. A descriptive qualitative approach was used through direct observation and interviews with four workers. The findings show that a hot and noisy work environment, poor ventilation, and disorganized workspace affect workers’ behavior in carrying out tasks without using proper personal protective equipment (PPE). Unsafe work practices have become a common habit due to factors such as routine behavior, limited facilities, and demands for work efficiency. The study concludes that an unsupportive work environment is directly associated with the increase in unsafe behavior. Therefore, efforts are needed to improve the working environment, including ventilation, workspace layout, and adequate provision of PPE, as well as to increase workers’ awareness of occupational health and safety through regular training and outreach. These measures are essential to foster a safe and healthy work culture in small-scale industrial settings.

Traditional markets are characterized by fast-paced and diverse transactions, necessitating a reliable product monitoring system to enhance the efficiency of stock management and transactions. This study develops a monitoring system based on a loadcell sensor and a TCS230 color sensor to automatically classify product weight and type. The loadcell is used to measure product weight with high accuracy, while the TCS230 detects the color characteristics of products to distinguish between different types of commodities, such as various varieties of chili peppers. The development process includes sensor calibration, dataset collection, and the training and evaluation of a classification model. Experimental results show that the classification accuracy exceeds 90%, demonstrating the effectiveness of combining weight and color data for market product recognition.

Ports are critical infrastructure in maritime transportation, facilitating the movement of goods and people while serving as hubs for economic activities. The Tanjung Pakis Class III Harbormaster and Port Authority Office (KSOP) utilizes the Electronic Reporting Information (SIRANI) application for reporting loading and unloading data. However, challenges such as discrepancies, technical disruptions, and delays in data processing often arise. This study aims to describe the loading and unloading data processing and the efficiency of reporting time on the SIRANI application at KSOP Class III Tanjung Pakis. Employing a descriptive qualitative approach through interviews, observations, and documentation, the research finds that data processing is less effective due to low data validity and errors in the Inaportnet platform. Reporting to SIRANI is also inefficient due to delays in data handling and technical issues with the application. Corrective measures, such as early data verification and manual data handling by reporting officers, have improved effectiveness by reducing the process from five to three steps and cutting reporting time from 6 hours to 3 hours and 30 minutes. The study concludes that optimizing data processing and inter-unit coordination can enhance the effectiveness and efficiency of reporting. Recommendations for future research include real-time integration and the development of backup mechanisms to address technical disruptions.

Spring steel is one type of material that is widely used in various engineering applications, such as vehicle suspension systems and equipment that require resistance to dynamic loads. Spring steel possesses various mechanical characteristics that are strongly influenced by the microstructure of the material. These characteristics remain consistently affected throughout the entire material. Heating that occurs due to exposure to flame can alter certain microstructural properties of spring steel and affect its performance. In this study, an analysis was carried out on all changes in the microstructure of spring steel caused by flame heating, as well as its effect on the hardness of the material. The results of the study showed that heating can indeed cause changes in the microstructural phase and a decrease in fatigue resistance of the spring steel.

Applying ergonomic principles in work tool design for manufacturing industries is a crucial factor in improving productivity while maintaining worker health. This research aims to analyze the effectiveness of adaptive work tool design models based on cognitive and physiological ergonomic principles, identify interaction patterns between workstation design and operational performance, and develop a conceptual framework for integrating ergonomic principles into production cycles. The research method adopts a cognitive-physiological approach with qualitative analysis of human-machine interactions, biomechanical simulations using digital human modeling, and muscle load measurements through electromyography. Implementation was conducted using a participatory ergonomics approach and IMU sensor-based real-time monitoring systems. Results show that using materials with controlled deformation capabilities (15-20%) in work tools reduces muscle work by up to 27%, while adaptive automation system integration improves assembly accuracy by 18%. Workstations with ergonomic adjustments increase assembly speed by an average of 12%, and low-cost ergonomic interventions effectively improve productivity by 11-15% in resource-limited environments. Longitudinal analysis reveals that evidence-based ergonomic investments yield a 230% ROI through increased productivity, reduced injury compensation costs, and decreased employee turnover. IMU-based posture monitoring systems integrated with adaptive feedback loops reduced musculoskeletal disorder incidents by up to 41%. In conclusion, ergonomic optimization based on cognitive-physiological principles creates synergy between production efficiency and worker well-being, making it an essential component in achieving sustainable productivity.

This study analyzes and optimizes production systems in the Industry 4.0 context, examining the fundamental shift from centralized, push-based production models to decentralized, adaptive, pull-based approaches. The research employs a mixed-method approach combining comprehensive literature review and multiple case studies across manufacturing sectors. Findings reveal that integration of Internet of Things (IoT), cyber-physical systems, artificial intelligence, and big data analytics enables real-time communication between production components, product personalization, and faster decision-making. Despite significant benefits in efficiency, flexibility, and competitiveness, implementation challenges persist, including high initial investment, employee resistance, technical expertise limitations, and integration complexity. Optimization approaches such as mixed-integer linear programming, digitally-integrated Lean Six Sigma, and digital twin simulations effectively enhance performance indicators including flexibility, reliability, and energy efficiency. The study concludes that successful production system transformation requires an integrated strategy encompassing process engineering, digital competency development, change management, and continuous evaluation to ensure sustainable optimization in the digital era

A reliable electrical grid the power plant scheduling system needs to optimize the plant's performance by considering the economic value and the value of emissions generated by the plant, in addition to the reliability and economic sectors. This system should also take into account the environmental impact, as well as the CO2 and CH4 emissions produced by the plant. This research will use the Dragonfly Algorithm with weighting parameters to schedule hydro and thermal facilities' emissions and economic activities. That the weighting value impacts production costs and emissions is demonstrated by the data acquired from the Dragonfly Algorithm simulation. If economic considerations take precedence in assigning weights, then low-cost generating will result in high-value emissions, and vice versa. The plant's Emission Intensity rating also meets the standards established by the government.

One of the key processes in the production of APAR cylinders is the welding of cylindrical plates, which is carried out using a Longitudinal Welding Cylinder machine and the CO₂ welding method. However, in practice, operators face several challenges, mainly due to the number of process steps that do not significantly contribute to the quantity or quality of the output, resulting in reduced productivity. This study aims to improve the productivity of the welding process through a series of improvements. The methods used include data analysis and root cause identification through the Overall Equipment Effectiveness (OEE) approach and Lean Six Sigma using the DMAIC stages (Define, Measure, Analyze, Improve, Control). Based on the Define stage, the initial OEE value was 67.49%, which is still far below the world-class standard of 85%. In the Measure stage, Pareto analysis revealed that the largest downtime (2,097 minutes or 40%) was caused by cycle time issues. Further analysis showed that activities such as material setup, additional plate placement, and additional plate cutting (totaling 85 seconds) could still be optimized. During the Improve stage, modifications were made, such as eliminating the additional plate cutting process and adding a stopper to ensure accurate welding alignment. These improvements successfully reduced the cycle time from 180 seconds to 120 seconds, thereby decreasing downtime and increasing the OEE value to 76.12%.

This study aims to evaluate production waste at PT XYZ, a food manufacturing company in Bandung, Indonesia, which experiences inefficiencies caused by overproduction and product defects. A descriptive qualitative method with a case study approach was used, employing data from production reports, field observations, and interviews. The analysis was conducted using the 7 Waste framework, the 5S workplace organization method, and the PDCA (Plan-Do-Check-Act) cycle. The findings show that the main types of waste at PT XYZ are overproduction and defects, which are caused by inaccurate demand forecasting, ineffective layout, and inconsistent quality control. By implementing 5S and PDCA, the company successfully reduced waste, improved workspace organization, and increased process efficiency. This study provides practical insights for manufacturing companies seeking to implement lean strategies for continuous improvement.

Oil palm is a key commodity supporting Indonesia’s economy through exports and employment. The industry’s success depends heavily on the selection of superior seedlings, which determine productivity, crop quality, and resistance to pests and diseases. Manual selection, however, often leads to subjectivity and inconsistency due to limited human resources and genetic variation. To address this, the study applies the Naïve Bayes algorithm for classifying oil palm seedlings based on seven variables: height, stem diameter, number of leaves, leaf color, disease resistance, root growth, and fruit yield. Using an explanatory quantitative method, the study follows seven stages: identifying problems, literature review, collecting 1,000 data entries from PT Intitama Berlian Perkebunan, data pre-processing, system modeling (UML), algorithm implementation, and evaluation using a confusion matrix and black box testing. Data was split into 80% training and 20% testing. The Naïve Bayes-based classification achieved 95% accuracy and perfect recall (1.00) for the superior seedling class. However, its performance on the minority class (non-superior seedlings) was weaker due to dataset imbalance. Black box testing verified all system functions worked correctly, enabling effective and efficient use by administrators. The study concludes that Naïve Bayes improves objectivity, efficiency, and accuracy in seedling selection. Nonetheless, attention is needed on data balancing and optimization to maintain consistent performance across classes. This system shows strong potential as a decision-support tool in plantations and promotes digital transformation in agricultural processes.

This study aims to analyze and compare migration data with the population growth projections of Gorontalo Province for the 2020–2035 period. A descriptive quantitative approach was used to evaluate in- and out-migration patterns based on the 2020 Long Form Population Census and BPS population projections. The findings reveal regional migration disparities, with Gorontalo City and Bone Bolango Regency experiencing positive net migration, while Pohuwato and Boalemo show high out-migration rates. Meanwhile, the demographic projections indicate an increasing dependency ratio and a significant growth in the elderly population. The combination of migration dynamics and demographic trends affects the age structure and regional capacity to support sustainable development. These findings provide an essential basis for evidence-based migration policy formulation to reduce regional disparities and strengthen local economic development.

Bioethanol can basically be made with basic ingredients in the form of vegetables which contain high starch and carbohydrates such as taro tubers (Colocasia esculenta [L] Schott). The choice of taro in making ethanol is because taro is classified as a tuber like cassava which has 66.8% starch content and 7.2% water content. The process of making glucose is done through acid hydrolysis (HCl) with variations in acid concentration (12, 14, 16, 18, and 20%) and hydrolysis time (1.5; 2; and 2.5 hours). From the analysis, it can be seen that the result of hydrolysis is liquid sugar (glucose) with the highest level of 27.8%brix.

This study aims to examine the effect of idle time on the productivity of dry bulk loading and unloading activities at the Java Integrated Industrial and Port Estate (JIIPE). The research employed a quantitative correlational approach, with data collection techniques including observation, documentation, and company records. The research sample consisted of 12 vessels engaged in loading and unloading at Java Integrated Industrial and Port Estate (JIIPE) port during the period from January to July 2024. The analysis revealed a correlation coefficient of -0.16, indicating a very weak negative relationship between idle time and productivity. The coefficient of determination, at 2.56%, suggests that idle time contributes only marginally to productivity, while the remainder is influenced by other factors. The factors affecting idle time include weather conditions, equipment failures, and truck delays. The conclusion indicates that while idle time does impact productivity, the effect is not statistically significant..
 
 

This study aims to analyze the suboptimal performance of hydraulic pump system on hatch cover performance on MV. Emerald Indah using USG (Urgency, Seriousness, Growth) method and data collection techniques in the form of observation, documents, and interview. The purpose of this study is to determine the causes, effect and efforts in solving the problems discussed. The results of the study indicate that several factors cause the hydraulic pump system to not function optimally , including dirty filters, leak in the hydraulic pump and pipe, and operation that is not in accordance with procedures. The effect of the suboptimal hydraulic pressure which ultimately becomes the main problem that inhibits the hatch cover opening process. To overcome this problem, improvements are needed such as periodic filter cleaning, replacement of leaking components, and increasing crew understanding of operational procedures. This research is expected to provide insight for related parties in improving the performanceof the hydraulic pump system and the efficiency of the loading and unloading process on ships.

This study discusses the preventive measures against piracy attacks faced by MV. X while transiting High Risk Areas. The purpose of this research is to identify the vessel’s vulnerability factors to piracy attacks and analyze the procedures and preventive actions that have been implemented. A descriptive qualitative method was used, including observation, in-depth interviews with crew members and armed guards, as well as document analysis of anti-piracy SOPs. The research findings show that the vulnerabilities of MV. X are due to limited drill training, suboptimal implementation of procedures, and inconsistency in the use of personal protective equipment (PPE). Based on these findings, it is recommended to increase the frequency and depth of simulation drills, enforce PPE usage standards, and update deck access security procedures. In conclusion, consistent implementation of procedures and structured training will enhance vessel security during High Risk Area transits.

Pressure vessels are critical components in the energy industry, used to store and process high-pressure fluids. The structural reliability of these vessels plays a pivotal role in ensuring operational safety and system efficiency. This study aims to analyze the design and reliability of pressure vessels using both numerical and experimental approaches to optimize performance and enhance safety factors. The numerical method was conducted through Finite Element Analysis (FEA) using ANSYS software to evaluate stress distribution, stress concentration, and potential failure modes under various operational load scenarios. Meanwhile, the experimental method involved hydrostatic pressure testing, strain measurements using strain gauges, and displacement analysis to validate the numerical simulation results. Data were collected from simulations and laboratory experiments, then analyzed quantitatively by comparing key parameters such as stress distribution, deformation patterns, and safety factors against industry standards. The results indicate that combining numerical and experimental approaches improves the accuracy of pressure vessel behavior predictions, enables more efficient design optimization, and enhances structural reliability. In conclusion, the methods applied in this study can serve as a reference for developing safer, more efficient pressure vessel designs that comply with industrial standards, thereby supporting improved safety and operational efficiency in the energy sector.

Rumah sakit Toeloengredjo terletak di Kecamatan Pare, Kediri dengan luas bangunan sebesar ±981,199 m2 yang memiliki ruang klinik pada lantai satu dan dua, dan ruang meeting room pada lantai 3. Gedung Rumah Sakit Toeloengredjo mengacu pada SNI 2847 : 2013, SNI 1727 : 2013, dan SNI 1726 : 2012.
Dalam tugas akhir ini gedung Rumah Sakit Toeloengredjo di analisis dengan SNI 2847 : 2019, SNI 1727 : 2018, dan SNI 1726 : 2019. Struktur atas terdiri dari kolom, balok dan pelat, sedangkan sloof dan pile cap dengan pondasi tiang pancang adalah struktur bagian bawah. Dengan menggunakan software SAP 2000 untuk analisis struktur diperoleh hasil perhitungan yaitu struktur pelat tipe S1 ø10 – 150 mm, balok tipe B.1 5 D16 dan 4 D16, kolom tipe K.1A 12 D19.
 

Kebutuhan akan konsumsi energi listrik sangat tinggi dan semua aktivitas manusia banyak yang menggunakan energi listrik. Listrik juga sangat dibutuhkan pada industri, karna seluruh alat hampir semua menggunakan listrik. Karna penggunaan listrik sangat besar pada PT. Cemindo Gemilang membangun unit WHRS (Waste Heats Recovery System) untuk menyuplai listrik. Dalam penelitian ini bertujuan untuk mengetahui bagaimana prinsip kerja serta proses kerja pada WHRS. Metode yang digunakan yaitu dengan observasi dan wawancara untuk mengetahui bagaimana proses pada WHRS tersebut. Hasil kesimpulan yaitu Waste Heats Recovery System ini merupakan pembangkit listrik yang menggunakan sisa panas atau flue gas sebagai pengganti batu bara untuk memanaskan air pada boiler.
 

Perkembangan sektor industri saat ini melaju sangat pesat, kebutuhan akan mesin mesin listrik berupa motor listrik sangat dibutuhkan dalam menunjang keberlangsungan produksi. Penggunaan motor listrik di PT. Cemindo Gemilang tentunya mengakibatkan beberapa kendala dengan itu penggunaan pengasutan motor dengan jenis Variable Speed Drive dan Soft Starter diterapkan pada industri cemindo gemilang. Penelitian ini bertujuan menganalisis pengasutan motor jenis variable speed drive (VSD) dan soft starter pada Fan Coller System di PT. Cemindo Gemilang. Hasil dari penelitian ini mengetahui hasil analisis pada penggunaan pengasutan motor, load consumption serta efisiensi penggunaan dari dua jenis pengasutan tersebut dimana pengasutan merupakan sistem untuk menjalankan motor pertama kalo dengan tujuan agar arus starting tetap kecil serta drop tegangan pada sisi suplay masih dalam batas toleransi.

Komposisi optimal penambahan aluminium dan magnesium dipilih berdasarkan parameter potensial anoda dan lau korosi. persamaan pemodelan yang telah dipilih adalah pemodelan dengan metode regresi polynomial orde 2 multivariate by multivariate regression of second-order polynomials.  Model yang sesuai ditentukan dengan membandingkan koefisien determinasi, standar estimasi eror, dan signifikansi nilai P. Penambahan aluminium dan magnesium menyebabkan potensial anode semakin lebih negatif, sedangkan penambahan magnesium dan aluminium meningkatkan dan menurunkan laju korosi. Anoda yang paling optimal telah ditentukan ketika penambahan aluminium 3% dan magnesium 0,1% yang mana menghasilkan laju korosi 38,88 mpy dan potensial anoda -1,098 V.

Penelitian ini bertujuan untuk melakukan Klasifikasi dalam menentukan tingkat Stres yang dialami oleh Mahasiswa Akhir di STIKOM Tunas Bangsa dengan menggunakan teknik data mining C4.5. Dengan mengetahui stres mahasiswa, pihak kampus dapat memberikan treatment dan perlakuan yang tepat terhadap mahasiswa akhir. Sumber data penelitian diperoleh dari beberapa kelas semester 6 dan 8 sebanyak 110 mahasiswa, melalui wawancara dan pembagian kuesioner. Atribut yang digunakan sebagai parameter penilaian untuk mengetahui tingkat stres yang dialami oleh mahasiswa akhir di STIKOM Tunas Bangsa, Pematang siantar antara lain: Interpersonal (C1), Intrapersonal (C2), Akademik (C3) dan Lingkungan (C4). Proses pengujian penelitian ini  menggunakan bantuan software RapidMiner untuk membuat pohon keputusan. Dari hasil pengolahan C4.5 dengan menggunakan bantuan software RapidMiner atribut Interpersonal (C1) menjadi atribut yang paling berpengaruh terhadap tingkat stres Mahasiswa Akhir dan data performance yang ditunjukkan terhadap kesesuaian metode C4.5 akurasinya adalah 87,88%.

Electricity is one of the vital needs that is indispensable for all humans and other places, one of which is PT. Cemindo Gemilang, engaged in the cement-producing industry, requires a huge electricity capacity. To reduce or reduce the cost of electrical energy, a power plant unit and a WHRS (waste heats recovery system) were made to supply electrical energy to the cement plant area. PT. Cemindo Gemilang and the Power Plant rely heavily on electric motors, almost all of which operate using electric motors. The electric motor is a single-phase or three-phase type with a voltage of 11 KV, 6.6 KV or 400 volts. When all generating units operate, all electric motors that play an essential role will continue to be active so that damage is often caused by operation and service life therefore in the power plant department, and there is an electrical and mechanical maintenance division to maintain the continuity of the power plant operational system. This study's aim 1). Explain about electric motors, 2). Explain the definition of the water jet pump, 3). Explain how the water jet pump works 4). Explain the components used in electric motors and their repair and maintenance.

Beton pracetak merupakan suatu teknologi konstruksi dimana pada saat proses pendesainan maupun pembuatan dilakukan secara fabrikasi pemasangannya sendiri harus diawasi oleh tenaga ahli karena pada saat proses penyambungan elemen pracetak tidak boleh salah supaya sambungan antar struktur pracetak jadi solid dan tidak ada keretakan, bangunan rumah susun pondok pesantren Darusa’adah di Kabupaten Kebumen Jawa Tengah merupakan bangunan yang didesain menggunakan sistem pengecoran di lokasi, elemen struktur balok dan pelat yang akan dimodifikasi ke elemen pracetak. Sistem struktur yang akan di pakai pada proses analisis perhitungan bangunan gedung adalah Sistem Rangka Pemikul Momen Khusus (SRPMK), perencanaan struktur bangunan gedung ini akan mengacu pada peraturan SNI 2847-2013, SNI 1727-2013, SNI 1726-2012 dan SNI 7833-2012, sambungan yang akan dipakai untuk penyatuan antar elemen pracetak adalah sambungan basah. Berdasarkan perhitungan modifkasi struktur didapatkan hasil untuk Tebal Plat = 14 cm untuk perhitungan balok G1.1 didapatkan dimensi 25cm x 45cm, dan G1.2didapatkan 25cm x 50cm untuk perhitungan kolom K1 didapatkan hasil dimensi 50cm x 30cm dan untuk kolom K2 40cm x 30cm, sedangkan pada perhitungan sambungan antar struktur pracetak didapatkan hasil untuk konsol pendek dengan dimensi 55 cm x 30 cm x 30 cm dengan jumlah tulangan utama 7 D16 sedangkan Tulangan sengkang / pengikat 4 D13 dan untuk tulangan stud plat ke balok di dapatkan hasil D10 – 150 mm.
 

Sumber energi listrik konvesional berasal dari fossil yang semakin lama semakin berkurang persediaannya dan membutuhkan jangka waktu yang lama untuk memperbaharui energi tersebut. Salah satu energi alam yang bisa dimanfaatkan energi listrik adalah cahaya matahari dengan membuat sebuah pembangkit listrik tenaga surya atau selanjutnya disebut dengan PLTS. Sebagai contoh dari pemanfaatan energi surya dilakukan oleh mahasiswa Universitas Trisakti, dalam jurnal ilmiah yang berjudul Sistem PLTS Untuk Pompa Air Irigasi Pertanian di Kota Depok membuktikan bahwa untuk memenuhi kebutuhan listrik pompa air, dibutuhkan dua buah PV dengan kapasitas masing-masing sebesar 80WP. Jenis motor yang mereka gunakan adalah motor DC 60 watt. Contoh lain didapatkan dari mahasiswa Universitas Riau yang berjudul Pembangkit Listrik Tenaga Surya Untuk Pompa Air dan Penerangan Dalam Program Pengabdian Masyarakat yang membahas tentang program pelatihan dan penerapan teknologi tepat guna antara lain Pembangkit Listrik Tenaga Surya (PLTS) 200Wp untuk pompa air 75w di panti asuhan di kabupaten Rokan Hulu dan Program penerangan lampu jalan di Desa Simpang Petai Kabupaten Kampar di Provinsi Riau menggunakan lampu LED 10 watt. Kedua jurnal di atas masing masing menggunakan PLTS untuk menghidupkan sebuah motor pompa, namun pada tugas akhir ini akan dibuatkan sebuah rancang bangun Pembangkit Listrik Tenaga Surya 200WP diujikan menggunakan sebuah beban berupa motor 1Ø 125w. 

Electrical energy continues to grow over time, power plants with large capacities are the main sources of electricity in Indonesia, one of which is the Steam Power Plant (PLTU). In the field of power plants that use coal always need air during the electricity production process. This study aims 1) to determine the protection management system on the Forced Draft fan motor using GE Multilin 269 Plus, 2) Setting GE Multilin 269 Plus as protection, 3) The results of the protection in the form of Normal Motor, Alarm, and Trip conditions in the accumulation of imbalance (Unbalance) ). The method used is a quantitative research method based on analysis, taking data and then analyzing the data obtained. The results of this quantitative study regarding the Unbalance value or imbalance of the electric motor analyzed resulted in a value of 5.8% for normal conditions, 10.86% for alarm conditions on multilin and 15.50% in trip conditions or the motor had stopped. These values ​​are obtained from the results of calculations comparing negative sequence currents and positive sequence currents (In/Ip). The conclusion obtained is that the GE Multilin 269 Plus protects the electric motor from system damage by using a current sensor and through a setting point that is adjusted to the provisions of NEMA (National Electrical Manufacturers Association) with an unbalance value of more than 15% for trips, more than 10% for alarm conditions and less than 10% under normal conditions

Water loss can be defined as the difference between the recorded amount of water in the system and the amount of water out of the system shown, in a water supply system is not entirely produced water installations reach consumer. Usually there is a leak here and there, called the loss of water. Then to reduce or minimize the water loss rate needed the right solution. One of solution that can be used is the Non Revenued Water (NRW) program. NRW can be defined as water that can be measured and a known amount of be chased but can not or may not be income, but it can be justified. The one of the methodologies that can be used to determine the amount (NRW) is a method of infrastructure leakage index (ILI) used Software WBEasycalc3. Water loss rate is the percentage ratio between water loss and the amount of water distributed in piped water network, while the water balance is calculated based on the amount of incoming water flow, consumption meter-Revenue, customer meter inaccuracies, water loss and physical loss. Both of two magnitudes in the ILI value is calculated by using Table Matrix Target that compiled by regulators of water service DKI Jakarta.  

Perubahan iklim membawa dampak terhadap semua lapisan kehidupan manusia. Perubahan iklim secara langsung atau tidak langsung merubah lingkungan fisik manusia di mana mereka tinggal dan melakukan kegiatan kesehariannya. Perubahan iklim juga memberikan dampak terhadap perubahan parameter iklim (suhu udara, suhu radiasi, kelembaban, kecepatan angin) kota, kawasan di sekitar bangunan, serta parameter iklim di dalam bangunan itu sendiri. Dalam pencapaian kenyamanan fisik manusia, suhu udara luar yang tinggi perlu diselesaikan dengan rancangan bangunan dengan pertimbangan parameter iklim sehingga perlu kiranya untuk segera dimodifikasi. Bangunan diciptakan untuk melindungi penggunanya dari bahaya yang berasal dari alam. Dengan demikian, dalam mendesain sebuah bangunan, penting untuk banyak belajar dari alam, Cabang ilmu pengetahuan ini muncul disebut "Biomimikri" yang berarti (Simulasi Alam) adalah metode inovasi yang mencari solusi berkelanjutan dengan meniru pola alam. Paper ini memberikan gambaran contoh model ornament arsitektural Biomimikri dalam bangunan guna merespon perubahan iklim yang terjadi, agar kebutuhan kenyamanan fisik manusia tetap tercapai, dan permasalahan pemanasan bumi dapat diminimalkan.
 
 

Pengaruh perkembangan Teknologi Informasi sudah menjangkau semua bidang, termasuk dalam mendata kehadiran pegawai yang dilakukan oleh pemerintah kota Tanjungpinang melalui Aplikasi Sistem Informasi Absensi Pegawai (SIAP Kepri) yang diperuntukan bagi aparatur sipil negara (ASN) yang bisa diakses melalui smartphone. Berkurangnya komitmen pegawai dalam bekerja akan berdampak pada motivasi dan kinerja pegawai yang semakin menurun. Penelitian yang diterapkan oleh penulis yaitu menggunakan metode penelitian kualitatif deskriptif. Penelitian ini menggunakan data primer dengan cara mengumpulkan data yang bersumber dari hasil penggunaan aplikasi SIAP KEPRI, dengan memberikan wawancara kepada pengguna aplikasi SIAP KEPRI. Objek dari penelitian ini adalah Kelurahan Kemboja Kecamatan Tanjungpinang Barat Kota Tanjungpinnag. kekurangan dan kelebihan dari aplikasi siap kepri dengan kehadiran aplikasi SIAP kepri ini semakin bisa memotivasi Pegawai untuk bisa menunjukan loyalitas dan kinerja pegawai serta juga memudahkan penilaian sehingga bisa memberikan reward atau punisment sesuai dengan apa yang dilakukan ASN.

Penelitian ini bertujuan untuk mengetahui besar tingkat kepuasan konsumen terhadap produk roti Pinkan Bakery & Cake. Dengan mengetahui tingkat kepuasan konsumen, maka pihak toko dapat memperbaiki dan meningkatkan faktor kepuasan konsumen apabila ada kelemahan dan kekurangan. Metode yang digunakan dalam penelitian ini dengan data mining yaitu Algoritma C4.5, sumber data diambil dengan menggunakan angket/kuesioner pada tahap survei pengisian lembar kertas kepada pengunjung toko atau masyarakat sekitar di lingkungan Desa Bangun. Adapun variabel yang digunakan yaitu (1) Harga, (2) Rasa, (3) Kualitas Produk, (4) Kebersihan Tempat. Untuk memudahkan proses pembuatan pohon keputusan proses uji penelitian menggunakan software Rapidminer 5.3. Berdasarkan seluruh hasil tahapan penelitian yang telah dilakukan pada Penerapan Algoritma C4.5 pada analisis faktor Kepuasan Konsumen terhadap Produk Roti Pinkan Bakery and Cake dapat disimpulkan bahwa permasalahan menentukan faktor kepuasan konsumen terhadap produk Roti dapat diselesaikan menggunakan teknik data mining, yaitu dengan Algoritma C4.5. Menghasilkan 5 rules dan Tingkat akurasi yang dihasilkan oleh metode tersebut adalah 93%. Dari perhitungan dengan Algoritma C4.5 maka didapatkan faktor yang paling dominan adalah Rasa (C2) dengan nilai gain sebesar 0,333610402.

A traffic accident is an event that occurs in a traffic flow due to an error in the traffic shaping system that involves humans as drivers, vehicles, roads, and the surrounding environment. In this study, the road that was studied was Rantau Berangin - Ujung Batu which was a class III collector road with a length of ± 66.5 km. This study aims to determine the level of traffic accidents in the area to obtain the Accident Rate value on the Black Spot and Black site . The method in this research is a qualitative method to get the value of the Black Spot and Black Site based on the accident rate. The data used are primary and secondary data obtained from the Kampar Police from 2014 - 2018, as well as those related to traffic accidents. The results of analysis of the received data show that the rate of traffic accidents on roads Rantau Berangin - Ujung Batu is relatively high with 24 scenes of the accident, which roads rantau Berangin - Silam be the point most vulnerable areas of traffic accidents with Accident Rate of the Black Spot by 9,767 and the Accident Rate of the Black Site is 1,205. Meanwhile, the factors that cause traffic accidents on the Rantau Berangin - Ujung Batu road section are dominated by human factors themselves, such as driving at high speed in crowds and using other drivers' lanes.

The development of Information Technology (IT) is now very rapid and has been used in various aspects of life both in the field of government, banking, socio- cultural, industrial, education, and even health. One type of disease that gets attention for the application of IT is corona virus or better known as Covid 19 because the spread is quite widespread throughout the country, especially in the territory of Indonesia. Corona virus disease development in Indonesia is growing, based on WHO data as of today on August 30, 2020 positive cases have reached 172,053 people, cases died 7,343 people and recovered 124,185 people and the number of cases is increasing every day. Based on these conditions, Central Aceh is in a state of alert against the threat of corona virus. then a form of prevention  of the widespread spread of the virus can be done by breaking the chain of transmission by doing social distancing. In this study, a system will be designed to anticipate the Covid-19 pandemic by predicting the rate of spread of covid-19, especially in central Aceh districts using the Naive Bayes Classifier method. The accuracy level of this system is a positive case of 60%.

The use of sea sand in construction work from an economic point of view does have advantages. One of them is increasing the income of the sea sand collectors who are spread throughout the area in Fakfak Regency. In addition, the potential availability of sea sand is quite large and is able to accommodate all types of concrete construction work in this area. This study aims to determine and analyze the use of sea sand in the AC-WC mixture of course by doing the Marshall test. This study uses variations in asphalt content of 5.0%, 5.5%, 6.0%, 6.5% and 7.0%, this study was carried out using Marshall testing in accordance with the general specifications of Bina Marga 2018. The results of the research conducted showed a relationship asphalt content and Marshall parameters such as stability value, VMA, density, MQ at an asphalt content of 5.0%-7.0%, meet the specifications of 1932 kg, 19.84%, 2.26 gr/cm3 and 1031 kg/mm. Values of VIM, VFWA and flow at 5.5% asphalt content are known to not meet the mix spasticity, namely 8.07%, 59.71% and 1.67 mm. Based on the Marshall parameter data, the Optimum Asphalt Content value is 6.5%.

Vapors or e-cigarettes are cigarettes with an evaporation process. One shop selling vapor products called the Independent Store sells various kinds of vapor products as well as liquids and other vapor equipment. This Independent Store store has problems in selling because it has not used an online-based sales system. Therefore, it is the desire of the researchers to be able to assist in the process of selling vapor products at the Independent Store store by creating a website. In the process of creating a website for selling vapor products, method is used SDLC (System Development Life Cycle) the waterfall model . With the hope of helping shop owners and employees in the sales process.

Perkembangan bisnis saat ini yang sangat kompetitif dan berkembang pesat karena aktivitas aktivitas dalam pemenuhan kebutuhan hidup tidak terlepas pada sektor transportasi dalam pengiriman barang dan material. Semua penyedia jasa mulai beralih ke media E-commerce dan menggunakan internet untuk media pertukaran informasi dan komunikasi. Perusahaan di Indonesia yang menggunakan media E-commerce yaitu Go-Jek di mana memiliki 100 ribu cabang di 50 kota. peneliti ingin mengetahui tingkat pengaruh kualitas pelayanan pada jasa E-Commerce Go-Jek termasuk pelayanan pengirimannya terhadap keputusan pembelian masyarakat. Hasil uji regresi linier sederhana menyatakan bahwa semakin banyak penyedia layanan, yaitu Go-Food, yang memberikan kualitas layanan yang diharapkan, maka akan meningkatkan penjualan produk karena terdapat pengaruh yang cukup positif dan signifikan antara variabel  kualitas pelayanan Go-Food terhadap variabel keputusan pembelian.

In the process of distributing electricity from the generator to the consumer, it goes through many processes and passes through several parts. Starting from the electric power distribution system, one of which is the distribution system. Considering that the scope of this distribution network is directly related and is located in an inhabited area, in addition to meeting technical quality requirements, it must also meet the requirements for being safe for users and familiar with the environment. In this distribution system there is a very important equipment in distributing electric power, namely the distribution substation. Because of the important role of the distribution substation, it must be protected from disturbances that may occur. One of them is the load imbalance between phases. In practice and in reality, in various locations of electric power distribution, a completely balanced load condition is obtained, mainly because of the large number of single-phase load groups that are serviced by a low-voltage three-phase distribution system. This is because the characteristics and types of electrical power user equipment vary with different consumer conditions and activities. To obtain load balance, load balancing is carried out between phases for load distribution so that load adjustments occur at distribution substations.

Research has been carried out on the load imbalance analysis on the transformer with the aim of knowing the percentage of load imbalance on the transformer. From the results of the analysis that has been carried out, it is known that the percentage of transformer loading is unbalanced and is in bad condition because it exceeds the balance standard that has been set, which is above 25% with a percentage for line 1 of 60% during the day and 80% at night. While on line 2 has a percentage of 35% during the day and 33% during the day.

Antre merupakan kegiatan yang sangat erat kaitannya dengan kehidupan sehari-hari dan timbulnya antrian yang panjang akan mengakibatkan hilangnya pelanggan/ nasabah. Salah satu antrian yang dialami adalah antrian berobat dengan menggunakan asuransi BPJS Kesehatan di Puskesmas Margadadi Kabupaten Indramayu yang memiliki administrasi yang berbelit-belit. Pemodelan dan simulasi sistem digunakan untuk menganalisis antrian dalam sistem sehingga dapat diketahui alternatif perbaikan yang dilakukan. Berdasarkan output model sistem yang telah dibuat menggunakan software Promodel 7.5 dengan input sesuai dengan data pengamatan yang dikumpulkan dan beberapa hasil validasi data, maka dapat diketahui jumlah entitas yang masuk dan keluar tidaklah sama, yaitu 48 orang masuk dan 20 orang keluar. Ini menunjukkan terdapat antrian dalam sistem. Secara keseluruhan, sistem antrian BPJS Kesehatan pada penelitian ini cukup efektif karena aktivitas entitas lebih banyak dihasbiskan dal proses operasi. Namun, berdasarkan beban kerja yang dialami petugas administrasi dan dokter diperlukan penambahan jumlah petugas dan dokter.