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To meet the needs of safety and comfort within the Faculty of Engineering, Cenderawasih University, the campus has provided a fairly adequate parking area. With the parking area that is already available, it is necessary to conduct an analysis of the need for parking areas within the Faculty of Engineering, in order to arrange vehicles that are neater, safer and more comfortable. The formulation of this research problem is in the form of existing parking conditions, parking characteristics, and ideal parking lot capacity. This research aims to identify problems, analyze characteristics, and determine the size of Parking Lot Units. The benefits of research for reference materials, input to local governments related to parking solutions. Make a calculation of the parking lot capacity. The limitations of the research problem, which was carried out in the parking lot of the Faculty of Engineering, Cenderawasih University and the number of parking lot capacity, Calculating the capacity of the type of motorcycle and car vehicles, the survey was carried out on 3 (three) active working days, namely Monday. Wednesday, and Friday for 3 (three) weeks. This research method uses a quantitative approach with a survey type of research. With this research, it is hoped that the Faculty of Engineering, Cenderawasih University can provide adequate parking lots.

PT X is one of the industries located in East Java that produces liquid waste. The industrial sector is indeed a large producer of liquid waste. One of the liquid wastes produced is domestic liquid waste. The industry has the responsibility to manage domestic liquid waste in accordance with Government Regulation Number 22 of 2021 which requires industries to carry out domestic wastewater management before being discharged into water bodies. One of the efforts made by the industry to manage the domestic wastewater produced is to use a Domestic Wastewater Treatment Plant. The quality of the treated water has met the domestic wastewater quality standards to be discharged into river and does not pollute the environment.

PT X, one of the state-owned enterprises to support the country's food security, is the largest and most comprehensive fertilizer producer in Indonesia that generates various wastes, including industrial liquid waste. Liquid waste has no economic value, so it is very important to treat it. PT X Company uses potential Hydrogen (pH)ysical and chemical treatment. There are two effluent treatment units, setting, line injection, and sludge treatment. All parameters evaluated include chemical requirements for oxygen (COD), zat padat yang tersuspensi(TSS), ammonia (NH3), total kjehdal nitrogen (TKN), fluorine, degree of acidity (potential of hydrogen (pH)), oil, and fat. According to the results after the analysis conducted in the study, it was found that the air pollution data after wastewater treatment was carried out showed that the quality of wastewater every month had met the quality standards of the rules and could be discharged into water bodies / seas. This shows the effectiveness of the treatment process implemented by the company.

The purpose of this study is to determine the handling of b3 waste by the soft drink industry. The research method used is to compare the local situation with current regulations. The comparison is carried out using a guttman scale where if it is appropriate, a score of 1 is given and if it is not appropriate, a score of 0 is given. The source of B3 waste generated by the soft drink industry comes from maintenance activities, laboratories, offices, and transportation. The type of hazardous waste comes from category 1 general specific sources, namely expired chemicals from laboratories, while from non-specific sources in the form of hazardous contaminated waste, waste from laboratories containing hazardous substances, and used batteries. Then there are category 2 general specific sources in the form of used toner, while from non-specific sources in the form of electronic waste, used B3 packaging, used cloth, used lubricating oil, and residual ink. The characteristics of B3 waste produced include toxic, flammable, and corrosive. In the transportation of B3 waste, the Sidoarjo Regency Soft Drink Industry has collaborated with third parties. Based on the results of the analysis of B3 waste management in soft drink industry companies classified in the “good” category. However, there are still things that need to be improved in the management of B3 waste in the form of applying symbols and labels, packaging, and storage.

This study explores the potential utilization of phosphoric acid sludge and ZA II lime waste as raw materials for the production of SP-15 fertilizer, which is essential for enhancing agricultural productivity and addressing environmental issues related to waste disposal. The research aims to analyze the phosphorus content (P₂O₅), moisture levels, sulfur (S), and calcium oxide (CaO) in the raw materials and the final fertilizer product. Methods employed include sampling, gravimetric analysis, and spectrophotometry. The findings indicate that phosphoric acid sludge contains an average P₂O₅ content of 33.05%, making it a potential phosphorus source for fertilizer production. Additionally, ZA II lime demonstrates good hygroscopic properties. This research concludes that utilizing these two wastes can not only reduce reliance on chemical fertilizers but also provide economic benefits to farmers and support sustainable agriculture. The implications of this study highlight the need for further research to optimize waste processing techniques and enhance community awareness regarding waste management.

Management of Hazardous and Toxic Waste (B3) is an important aspect in supporting sustainable development while minimizing negative impacts on the environment. This research evaluates B3 waste management at PT. Z, a construction company that plays an important role in the production and maintenance. Evaluations are carried out on technical and non-technical aspects, including waste identification, temporary storage, transportation, and compliance with regulations such as PP Number 22 of 2021 and other related regulations. The research method uses a quantitative and qualitative approach, with primary data obtained through field observations, interviews and documentation, while secondary data includes SOPs, waste balances and logbooks. The analysis was carried out using a checklist and scoring method based on the Guttman scale to assess the level of compliance of B3 waste management with regulations. The research results show that B3 waste management at PT. The Z already meets most technical and regulatory standards with some aspects requiring improvement. This research is expected to provide an overview of the conditions of B3 waste management at PT. Z as well as relevant recommendations to increase management effectiveness, support regulatory compliance, and encourage the achievement of sustainable development goals.

PT X is an iron industry in Sidoarjo that produces Hazardous and Toxic Material waste. This industry has several Temporary Shelters (TPS) for B3 waste to store its waste. However, supervision based on the regulation of Permen LHK no. 6 of 2021 shows that there are several inconsistencies in B3 waste management and waste storage procedures. This study was conducted to evaluate and determine the correct management of B3 waste, as well as to correct the inconsistencies identified in the SKPL supervision program.

Leaf springs are one of the suspension systems that are still widely used in various modes of transport such as cars and trucks. The spring functions to support the load and reduce vibration from operational activities. This study aims to analyse the bending strength and hardness of steel leaf springs of trucks and cars resulting from tempering heat treatment. The three point bending method was used as the flexural strength testing method and the Rockwell C Hardness method testing was used for hardness testing with leaf springs in raw, tempered 460°C, and tempered 510°C conditions. From the results of the study, the highest average bending strength value of 3733,55 MPa was obtained and an average roughness value of 31,8 HR was obtained for the 510°C tempered truck leaf springs. This also applies to the 510°C tempered car leaf springs, where the average bending strength value obtained is 3392,65 MPa and the average hardness value obtained is 29,5 HR. Thus, it is recommended that tempering heat treatment that can be applied to truck and car leaf springs be carried out at 510°C to increase the bending strength and ductility of the leaf springs.

A lifter is a device used to lift and move objects or materials from one place to another. Lifters are commonly used in the industrial world, examples of lifters are forklifts, cranes, stackers, drum lifters and hydraulic lifters. A lifter is a device used to lift and move heavy objects such as wooden pallets, boxes, or other industrial goods. One of the important components of a lifter is the handle which functions as a hand grip to move the lifter. A lifter handle is a handle or hand grip to push a lifter. The right material to use as a handle lifter is SS400. SS400 (Structural Steel) is a low carbon steel (mild steel) that complies with ASTM (American Society for Testing Materials) A36 or JIS (Japanese Industrial Standards) G3101 standards. The Handle Lifter manufacturing process includes the cutting process, namely cutting from an initial length of 6 meters to 150mm. The milling process is cutting lengths and thicknesses with a length of 135mm with a first thickness of 13mm, a second thickness of 15mm and a third thickness of 13mm. Drilling process, where this process involves making a hole with a diameter of 10mm. The grinding process is a finishing process that aims to smooth uneven surfaces. And finally, Quality Control is carried out to check whether or not the goods being produced are suitable. Based on the calculation results, the productivity value for making Handle Lifters in 1 day was obtained, where the working hours used were 8 hours, resulting in 17 Handle Lifters.

Decision Support System (DSS) is a system used to assist decision makers in determining the best alternative based on certain criteria. Determining retirement eligibility for ASN (State Civil Apparatus) employees is one of the important aspects in human resource management, where this decision affects the future of employee careers, their welfare, and state budget management. This study proposes the development of a decision support system for determining retirement eligibility for ASN employees using the Multi-Attribute Decision Making (MADM) method. The MADM method is a decision-making technique that considers several criteria and alternatives to produce optimal decisions. In this study, the criteria used to determine retirement eligibility include retirement age, length of service, work performance, health, and other factors relevant to the applicable pension policy. The method used in this system includes several steps, namely identifying criteria, assigning weights to each criterion, and evaluating alternatives based on these criteria using calculation techniques such as AHP (Analytical Hierarchy Process) or TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). The results of this evaluation will provide recommendations on whether an employee is eligible for retirement or can still continue his career. The developed system is expected to facilitate the decision-making process regarding ASN employee retirement by providing objective and transparent analysis, so that the decisions taken are more appropriate and in accordance with applicable policies. Thus, this system can improve efficiency and effectiveness in human resource management in government agencies.

An expert system for diagnosing diseases in tilapia is one solution to help fish farmers detect and treat diseases that attack tilapia. In this study, an expert system was developed using the VCIRS (Voting Classifier for Integrated Rule Set) method to diagnose tilapia diseases based on the symptoms shown. The VCIRS method was chosen because of its ability to combine several classifiers to improve diagnostic accuracy. This system allows users, especially fish farmers, to enter symptoms observed in tilapia and obtain a diagnosis of possible diseases and appropriate treatment recommendations. The evaluation results showed that this system has a good level of accuracy in diagnosing tilapia diseases, by providing fast and accurate results, and making it easier for fish farmers to make decisions related to fish health. This expert system is expected to increase the productivity of tilapia cultivation by reducing the mortality rate of fish due to diseases that are not detected quickly.  

The problem of household waste, which accounts for 50-70% of the total waste in Indonesia, mainly in the form of organic waste such as food and vegetable scraps, is a major challenge in environmental management. Composting is an effective method of managing organic waste by turning it into compost. However, organic waste management in Indonesia is still minimally practiced because it is considered to have no economic value. A 50 kg capacity composter machine equipped with a vertical mixer and using an electric motor can increase composting efficiency. This study aims to analyze the feasibility of composter machines and to analyze the effect of speed and mixing time on composter machines on the homogeneity of organic waste. The research method used is quantitative experimental with factorial experimental design (DOE) to analyze the effect of speed and stirring time on the composter machine on the homogeneity of organic waste. The stirring speed variations tested were 30, 45, and 60 RPM, with mixing times of 20, 30, and 40 minutes. The results showed that the single mixer composter machine proved to be feasible and reliable in producing homogeneous organic waste, with a high process capability value of 5.86. The use of mixing speed from 30 RPM to 60 RPM and mixing time from 20 minutes to 40 minutes significantly increased the homogeneity of organic waste, with the highest value of 97.54% at 60 RPM speed for 40 minutes.  

Abstract. From the perspective of Micro, Small, and Medium Enterprises (MSMEs), fluctuations in raw material prices are highly concerning as they can significantly impact business stability. While MSMEs may tolerate price fluctuations to some extent, from an industrial engineering perspective, such a passive approach contradicts the principles of continuous improvement. This study seeks to predict the price of large red chili peppers using five regression models implemented through Orange Data Mining: Linear Regression, Support Vector Machine, Decision Tree, k-Nearest Neighbors (kNN), and Gradient Boosting. Due to the limited availability of daily data, particularly within a daily timeframe, the study utilized weekly data spanning three years. The results of the Test and Score evaluation shows Gradient Boosting as the best-performing model, achieving a Mean Absolute Percentage Error (MAPE) of 0.7%. However, the MAPE for predictions in January 2025 increased to 15.8%. This error is expected to decrease as more weekly data becomes available to mitigate the inaccuracies inherent in this model. Keywords: prediction, red chilli, regression, supervised learning , orange data mining. Abstrak. Dalam perspektif UMKM, fluktuasi harga bahan baku adalah suatu hal yang paling ditakuti karena berakibat pada ketahanan usaha yang menjadi tidak menentu. Pada suatu kondisi, fluktuasi harga dapat diterima para UMKM, namun dalam perspektif teknik industri, sikap UMKM tersebut tidak sesuai prinsip continuous improvement. Penelitian ini mencoba untuk memprediksi harga cabai merah besar dengan menggunakan 5 model regresi dibantu Orange Data Mining. Yaitu Linear Regression, Support Vector Machine, Tree, kNN, Gradient Boosting. Data yang diperlukan sebagian besar tidak tersedia, khususnya dalam kerangka waktu harian sehingga penelitian ini menggunakan data mingguan selama 3 tahun. Hasil Test and Score menunjukkan model Gradient Boost terpilih menjadi model terbaik dengan tingkat MAPE 0.7% namun MAPE pada tahap Prediction di bulan Januari 2025 menjadi 15.8%. Error tersebut akan berkurang ketika data mingguan sudah cukup banyak untuk menambal kesalahan yang dihasilkan model ini Kata kunci: prediksi, cabai merah, regression, supervised learning , orange data mining.

Indonesia's dependence on oil and gas imports has become a significant challenge to the country's economic stability, with impacts on the trade deficit, global energy price fluctuations, and fiscal dependence. This study aims to evaluate the economic impact of efforts to reduce Indonesia's dependence on oil and gas imports, focusing on the implications for economic growth, trade balance, and national energy security. The methods used include secondary data analysis, macroeconomic modeling, and simulation of the impact of energy policies such as increasing domestic oil and gas production, energy diversification, and renewable energy development. The results show that reducing dependence on oil and gas imports has the potential to reduce pressure on the trade balance and foreign exchange reserves, and improve long-term energy security. However, the transition to domestic energy security requires large investments in the renewable energy sector, supporting infrastructure, and policies that support energy efficiency. This study suggests the need for an integrated policy strategy between the government, private sector, and society to achieve the goal of reducing oil and gas dependence and improving Indonesia's economic competitiveness.

This study examines the impact of advancements in Information and Communication Technology (ICT) on cultural values, focusing on changes and the preservation of local cultures. The method used is descriptive analysis based on interviews, observations, and document studies. The results reveal that ICT has significantly influenced local cultural values, including shifts in cultural identity among younger generations, increasing individualism, and cultural homogenization due to social media. On the other hand, ICT offers opportunities for cultural preservation through digitalization and the promotion of local cultures on digital platforms. Nonetheless, challenges persist in maintaining traditional cultural values rooted in collectivism, given the dominant influence of global culture. This study recommends the need for prudent strategies in utilizing ICT to preserve local cultures without compromising their cultural identity.

Wood is a superior choice as the main material for forming the structure of a construction system. Its unique characteristics and the fact that it can withstand gravity and lateral forces make it the first choice as a material for construction models. Landa', which functions as a rice storage house, has a unique construction system with the use of natural materials. The research was conducted by exploring how the construction system of landa' is formed from materials and materials using qualitative methods with a descriptive way of presentation. The results of the study concluded that the construction system of landa' uses a unique method by placing each part above the other to form a single unit of the landa' building, the column (pessajo) is bound by the beam (tolohna) and the addition of beams (parende) which will support the body of the landa', the body part is composed of walls (rinding) and fastened with a locking system tallu boko' and sa'pi’ which will support the roof (dea).

The largest source of energy currently utilized is still predominantly from fossils. Fossil energy sources are non-renewable so over time they will run out. So it is necessary to utilize renewable energy sources. One renewable energy source that is environmentally friendly and easy to obtain is wind energy. Wind is a collection of air that is experiencing movement due to a difference in pressure on the earth's surface. Wind will move from areas of high pressure to areas of lower pressure. Experimental research on wind energy is a useful energy that can be put to good use. Wind energy is a form of energy that comes from utilizing air flow in the atmosphere to produce mechanical or electrical energy. The main technology used to utilize wind energy is a wind turbine, which converts wind kinetic energy into electrical energy through a generator. Which of course also requires sufficient wind speed so that the wind turbine can rotate and produce mechanical movement in the form of rotational torque which can then be converted into electrical energy. Wind energy has great potential as a clean, sustainable and environmentally friendly resource, as it does not produce greenhouse gas emissions or hazardous waste during its operation. However, wind energy development faces challenges such as fluctuations in wind speed, large land requirements, visual impacts, and potential disruption to local ecosystems. With technological innovation and careful planning, wind energy can be a significant solution to meet global energy needs in a sustainable manner.

The rapid advancement of technology has led to an increasing demand for electrical energy. One of the efforts to meet this demand is the development of micro-capacity power generation systems utilizing heat energy. Heat energy can be harnessed using thermoelectric elements. This study aims to design and develop a portable power generation system that utilizes solar heat as an energy source. The prototype uses six TEC 1-12706 thermoelectric modules to generate electricity designed specifically to recharge devices such as phones, power banks, and flashlights. Solar heat is concentrated on the thermoelectric modules using Fresnel lenses, while heatsinks are employed for cooling. The thermoelectric modules are connected in series to produce sufficient voltage, which is then boosted by a boost converter. The generated electrical energy is stored in a battery to ensure voltage stability despite temperature fluctuations. This device can also operate at night due to the energy stored in the battery. Test results show that the average output voltage without load ranges from 9.49V to 9.56V, with an average temperature of 45.2°C at the thermoelectric modules. In load tests, the device successfully charged a Pixel 5 phone (5000 mAh battery) from 4% to 70% in 95 minutes. These results demonstrate the potential of this system as a reliable and environmentally friendly portable energy solution.

This research aims to design an Aircraft Jacking control system for the Boeing 737-800 to automatically balance the aircraft's inclination using an MPU6050 sensor and servo actuators. The system can detect pitch and roll angles with an accuracy of ±0.5° and an average response time of 150 ms. Based on tests using five datasets, the balancing time ranges from 400 to 600 ms, depending on the initial imbalance. In Dataset 5, with a pitch of 3.5° and a roll of -2.3°, the system required 600 ms to achieve balance, demonstrating its ability to handle critical conditions. The servo actuators successfully adjusted the jacking height within a range of 2 cm with a precision of ±0.02 cm, while the OLED-based monitoring system allowed operators to observe the inclination angles in real-time. Furthermore, ESP-NOW-based communication achieved a data transmission success rate of 98%, supporting efficient centralized control. This research demonstrates the system's effectiveness in balancing the aircraft quickly and accurately, providing a foundation for further development under extreme conditions and energy efficiency improvements.

Wind Turbine Blades are one of the renewable energy sources that are the main solution to reduce excessive use of conventional fuels. Wind Turbine Blades absorb kinetic energy into mechanical energy which is then converted into electrical energy by the generator. This study uses the National Advisory Committee for Aeronautics (NACA) 1.2 horizontal axis wind turbine blade design with a taper type (having a wide base and a small tip). The initial wind turbine blade data was obtained rotating at a wind speed of 3.5 m/s with a voltage of 5.1 Volts. This blade design was carried out using maximum wind speed data of 9.5 m/s and minimum wind speed data of 3.6 m/s, then current and voltage data were obtained. The results of this study confirm that the design of this wind turbine blade affects the efficiency of converting wind energy into electricity. This taper type wind turbine blade is designed to produce optimal performance in a certain wind speed range.