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Quality assurance is a crucial foundation for universities to ensure quality, accountability, and sustainable governance. Digital transformation in higher education quality governance requires an efficient, informative, and easy-to-use system. This study aims to design a prototype dashboard for an Internal Quality Assurance Information System based on user needs using the Design Thinking approach with a case study of the Sekolah Tinggi Teknologi Terpadu Nurul Fikri. The research process involves five main stages: Empathize, Define, Ideate, Prototype, and Test. Data was collected through interviews with quality assurance unit personnel and analyzed to formulate visual solutions that address user needs. The dashboard prototype was tested using the User Experience Questionnaire (UEQ) method and yielded positive scores across all dimensions, particularly clarity and stimulation. These results indicate that the developed design is capable of providing an effective user experience in supporting the implementation of the internal quality assurance system.

This study aims to design and implement a damage analysis system for concrete surfaces by utilizing digital image processing based on the Canny edge detection method. The developed system allows users to upload images of concrete surfaces, which are then processed through several stages: conversion to grayscale, transformation to binary images, and crack edge detection using the Canny operator. This process aims to automatically detect crack patterns on the concrete surface. The detection results, represented as edge lines, are used to calculate the percentage of the damaged area. Based on this percentage value, the system automatically classifies the damage level into light, moderate, or severe categories. System testing shows that the Canny method can accurately identify crack patterns, with sufficient detection levels to be used in monitoring the condition of concrete surfaces. The analysis results are then presented in both visual and numerical forms, providing valuable information for assessing the structural condition of concrete. Thus, this system can serve as an efficient and effective tool for early detection of structural damage in concrete infrastructure, ultimately supporting better maintenance and repair efforts.

This study also highlights the importance of education and training for farmers to improve their technical skills in farming and managing their farms. Training in the use of modern agricultural technologies, such as automated fertilizing tools and efficient irrigation systems, can help farmers reduce production costs and increase yields. Furthermore, training in digital marketing can help farmers market their products more effectively through online platforms, reducing reliance on intermediaries and increasing profit margins. Furthermore, it is crucial for the government to provide support in the form of extension services and easy access to business capital. More accessible capital will enable farmers to invest in more efficient equipment and more environmentally friendly organic fertilizers. Targeted microcredit distribution to farmer groups can also accelerate the adoption of new, more productive agricultural technologies. The adoption of sustainable and environmentally friendly agricultural practices should be a long-term focus to ensure the registration of shallot farming businesses. Farmers need to be incentivized to use organic fertilizers and natural pesticides that are safer for the soil and air. Furthermore, the implementation of integrated and environmentally friendly farming systems such as agroforestry can also be an alternative to increase agricultural yields without damaging the environment. With improvements in education, training, access to capital, and the adoption of more efficient technology, shallot farming in Pasir Village can develop better and become more sustainable in the future. Furthermore, collaboration between farmer groups and local research institutions and universities can also be key to introducing new agricultural innovations.

The development of hardware and software technology has developed rapidly in recent years. Currently, companies are still experiencing difficulties in processing data and information. Spare parts that are not available when needed can hinder maintenance and repair plans. For this reason, controlling spare parts inventory in the Asia Jaya Motor workshop company is very necessary to maintain the quality of goods. Asia Jaya Motor Workshop is a business operating in the automotive sector, where this place cannot be separated from an accurate information system. However, data management still uses manual methods, seeing the problems that occur at the Asia Jaya Motor Karawang Workshop, very high accuracy, convenience and speed are needed. The aim of this research is to obtain an effective and efficient spare parts inventory analysis so that spare parts procurement and control plans can be accurate in supporting maintenance and repair programs. The data collection techniques for this research are library research and field research. So, the total cost of spare parts inventory in the 2011-2014 period according to the Economic Order Quantity method for each spare part has increased. The total cost (total cost) of spare parts inventory according to the Economic Order Quantity method is lowest in the 2021 period and the total cost (total cost) of spare parts inventory is the highest in the 2023 period.

This research was conducted with the aim of optimizing the assignment of working hours in the Procurement Division of PT. Pelindo Multi Terminal through the application of the Hungarian method. The fundamental problem faced is the imbalance between the number of permanent workers and the high workload that must be completed, thus creating a risk of inefficiency in the operational process. To address this problem, a quantitative approach was used with linear programming modeling techniques designed to produce a more systematic and measurable assignment allocation. Through the analysis conducted, an optimal solution was obtained regarding the distribution of working hours, where the total working time can be reduced to 10,120 minutes per month, lower than the previously set maximum limit of 10,560 minutes per month. These results indicate that the application of the Hungarian method is not only able to reduce excessive workloads on some employees, but also ensures a more proportional distribution of assignments among all available workers. In addition, this method can increase operational effectiveness because each worker receives a load according to their capacity, so that the risk of fatigue or decreased performance can be minimized. The findings of this study confirm that the Hungarian method is an alternative work scheduling strategy that is efficient to be applied in industrial environments with high task complexity. Proper implementation can also support the achievement of overall company productivity, improve the quality of human resource management, and strengthen the company's competitiveness in facing future operational challenges.

The management of incoming and outgoing mail at the Situbondo Technical Implementation Unit (UPT BLK) plays a crucial role in supporting the effectiveness of administrative activities. Currently, the process of recording letters is carried out manually using an agenda book, which is considered inefficient, makes searching for archives difficult, and takes a long time. These problems encourage the implementation of an information system that can facilitate faster, more structured, and more accurate processing of letter data. This study proposes the development of a computer-based information system using the waterfall method in the Software Development Life Cycle (SDLC). The data collection process is carried out through direct observation and interviews with administrative staff, so that system requirements can be clearly identified. The results of this study are an information system design with a simple, user-friendly, and easy-to-operate interface, so that employees can quickly understand the flow of use. The system developed allows the process of recording, archiving, and tracking letters to be more organized, practical, and efficient compared to previous manual methods. In addition, this system is also able to reduce the potential for human error in recording and accelerate the presentation of information when needed for administrative purposes and decision-making. Other advantages offered are easy data access and the availability of reliable, accurate, and timely information. With this system, administrative performance at the Situbondo Technical Implementation Unit (UPT BLK) is expected to significantly improve, both in terms of time efficiency, service speed, and orderliness in managing documents.

This research discusses the development of a donor module on the SiKembar (Barang Entry and Exit Information System) web-based application, designed to optimize the management of donor data and donation aid during natural disasters. The module is developed to facilitate the donation submission process from the public, ultimately aiming to improve coordination between the community, government, and BPBD (Regional Disaster Management Agency) of Cianjur Regency in managing and distributing post-disaster aid. The development method used in this module is web-based, utilizing PHP programming language and the CodeIgniter framework. The CodeIgniter framework was chosen for its ease of use in building structured and flexible web applications. The donor module developed is integrated into the existing SiKembar platform, allowing for more efficient and organized donor data management. The main feature introduced in this module is the donation submission, which enables the public to directly donate and track the status of their submitted donations through the platform. The results of the research indicate that this module facilitates a more structured and responsive donation submission process. Both donors and administrators can easily access and manage information related to the aid needed and the status of received donations. This enhances transparency and efficiency in donation data management while minimizing the potential for errors in aid distribution. The donor module on the SiKembar application is expected to increase the effectiveness of managing donor data and handling aid following natural disasters. With this system, the aid distribution process will be more organized and faster, while also facilitating better coordination among the involved parties. Ultimately, this module can contribute to accelerating post-disaster recovery and ensuring that aid reaches those in need in a timely manner.

Micro, Small, and Medium Enterprises (MSMEs) are strategic sectors in the Indonesian economy, but often face challenges in efficient and data-driven production management. This article highlights the urgency of the Real Work Lecture (KKN) program as a form of student service in assisting MSMEs, especially in optimizing the production of snacks typical of Tebing Syahbandar. This research aims to optimize the production output of the Untir-untir Titik Factory with an Integer Linear Programming (ILP) approach using the Branch and Bound algorithm. Primary data is obtained through interviews and production documentation, including product type, raw material needs, operational costs, selling prices, and profit margins. The initial analysis was carried out using the simplex method using POM QM software to obtain a linear solution, which was then refined with the Branch and Bound algorithm so that the results were in the form of integers. The results of the study showed that the optimal solution was achieved by producing 25 bales of kolong-kounder and not producing other types of snacks, resulting in a profit of Rp1,650,000 per day. These findings show that the ILP approach with Branch and Bound is able to significantly increase the efficiency and profitability of MSMEs. In addition, this method can be used as a basis for quantitative-based production decision-making. This research also emphasizes the strategic role of KKN in technology transfer and real solution-based assistance for MSME actors in the region, thereby supporting the sustainable strengthening of the local economy.

The academic information system is a crucial element in managing academic data in higher education institutions. Universities require an efficient information system to manage student data, faculty, courses, and other academic administration. This study develops an SQLPage-based information system to provide a lightweight and user-friendly web-based solution. SQLPage enables the creation of web applications directly from a MySQL database without requiring complex programming. The research results show that this system can improve the efficiency of academic data management and ease of access to information for users

One approach the government employs to decorate public welfare, mainly among low-income families, is through social help initiatives. however, the subjectivity inside the choice process regularly ends in mistargeting all through implementation. This observe objectives to apply the ok-Nearest Neighbor (ok-NN) and Naive Bayes algorithms inside a decision support device to perceive eligible recipients based on community statistics. The ok-NN algorithm determines similarity by calculating the Euclidean distance among new and current facts, whilst the Naive Bayes set of rules utilizes a probabilistic method based at the likelihood of attribute incidence inside each elegance. Key criteria considered consist of household income, employment kind, number of dependents, housing conditions, and asset possession. Experimental consequences reveal that each algorithms are powerful in as it should be classifying eligibility for help, with k-NN barely outperforming Naive Bayes. therefore, the combination of these algorithms can support stakeholders in making extra goal and efficient selections regarding the distribution of social useful resource.

Monitoring is an activity that examines a condition to obtain all necessary information. The outcomes monitoring can act as a guide for formulating strategies. Researchers found that in Kalembu Kaha Village, the monitoring of ongoing activities is still carried out traditionally, where the Kaur must go directly to the field to witness existing activities. Therefore, it is important to develop a monitoring system application so that all activities tracked instantaneously. In addition, this will facilitate effort Village Head to evaluate the progress of projects or activities carried out so that they can be on time. Through this research, was identified application, the Village Head can more easily monitor and supervise activities carried out by village officials. This allows the Village Head to evaluate and take action quickly and efficiently

Coal is one of the main energy sources and the largest contributor to national revenue; however, its management faces challenges related to limited availability and accuracy in reserve estimation. An essential aspect of mining management is monitoring the Run of Mine (ROM) volume, which plays a critical role in crushing, washing, and blending processes. This study aims to compare the accuracy of ROM volume measurements using Terrestrial Laser Scanner (TLS) and Unmanned Aerial Vehicle (UAV) methods in the production area of PT FAD, Berau Regency, East Kalimantan. A quantitative descriptive approach was employed, involving field data acquisition, three-dimensional modeling, and volume analysis using specialized software. The results show that ROM volume measured with TLS was 1,407.669 lcm, while UAV produced 1,387.357 lcm, with a difference of 20.312 lcm or 1.45%. This deviation is within the ASTM D6172-98 tolerance limit (<2%), indicating that both methods are valid. Although TLS offers higher accuracy, UAV is more effective and efficient in terms of measurement time, making it a reliable alternative for modern mining monitoring. This study provides practical insights for the mining industry in selecting ROM volume measurement methods that are not only accurate but also efficient in supporting sustainable operations and data-driven decision-making.

Efficient operations of PT PLN, as a vital electricity provider, heavily rely on effective service management, including customer data collection and payment processing. Employee performance supervision is crucial to ensure optimal results and customer satisfaction, given that traditional manual systems often suffer from inefficiencies, inaccuracies, and delays. This research aims to develop and implement a web-based performance monitoring system for electricity bill delivery officers to enhance operational efficiency and accountability at PT PLN. The Waterfall method was adopted as a systematic development framework, encompassing stages of requirements analysis, design using Unified Modeling Language (UML) such as use case diagrams and activity diagrams, implementation with PHP and MySQL, and black box testing to validate system functionality. The results of the black box testing indicate that all main functions of the system, including user authentication, user data management, uploading of daily reports and supporting files by officers, and the administrator's ability to monitor and review reports, function as expected. The successful implementation of this system indicates its capability to overcome the limitations of manual methods and provide real-time visibility into the performance of field officers. Thus, this web-based monitoring system not only contributes to improving data accuracy and operational efficiency at PT PLN but also supports more informative and strategic managerial decision-making, aligning with digital transformation initiatives in the energy sector

Indonesia is the world's leading producer of spices, but it still faces challenges in manual visual quality assessment, which is inconsistent. This study aims to develop a spice quality classification system using a Deep Learning approach based on Convolutional Neural Networks (CNN). Data was collected through digital images of five types of spices (cloves, cardamom, cinnamon, pepper, and nutmeg) classified into two categories: good and bad. The dataset was then processed and used to Train the CNN model using Tensorflow. The model architecture consists of several convolution, pooling, and dense layers, and is integrated into a web-based prototype application using Streamlit. Evaluation results show that the model achieves high Accuracy of 98.86% (Training), 98.45% (Validation), and 98.45% (Testing). The prototype application can provide automatic Predictions of spice quality through a simple and responsive interface. The results of this study indicate that CNN is effective in identifying the visual quality of spices and can serve as an objective, efficient technological solution that supports the enhancement of Indonesia's spice export competitiveness.

Efficient management of patient queues is essential in healthcare systems to ensure timely care, optimize resource utilization, and enhance patient satisfaction. Mathematical programming, particularly when applied in conjunction with queuing theory and optimization models, provides a rigorous framework for analyzing and improving healthcare service delivery. This approach involves modeling arrivals and service processes, applying queuing models (such as single-server, multi-server, and priority queues), and formulating optimization objectives—often to minimize total costs, patient waiting times, or resource idling. Recent research demonstrates that combining queuing theory with mixed-integer programming and simulation techniques enables healthcare managers to allocate resources dynamically, set staffing levels, and assign priorities among different patient categories. For example, the use of mixed-integer programming can determine the optimal number of servers, beds, and service rates based on patient flow and priority needs, striking a balance between reducing waiting times for critical cases and controlling operational costs. These mathematical models also account for practical constraints and stochastic variability inherent in clinical settings. Applications span emergency departments, outpatient clinics, and even pharmacy and blood service centers—showing significant improvements in system efficiency, reduced patient wait times, and enhanced overall care quality. Thus, mathematical programming is a powerful decision-support tool for queue management, offering evidence-based strategies to address congestion and resource allocation challenges in complex healthcare environments.

In the modern industrialization era, industrial relations disputes are increasing in both quantity and complexity. This condition demands a fast, precise, fair, and efficient dispute resolution mechanism. In accordance with the provisions of laws and regulations, mandatory settlement efforts must first be pursued through bipartite or tripartite negotiations through deliberation to reach a consensus, known as Alternative Dispute Resolution (ADR). ADR is a dispute resolution mechanism outside the court that is oriented towards a win-win solution, namely an agreement that accommodates the interests of all parties. However, in practice, the implementation of mediation in Industrial Relations Disputes (PHI) still faces various obstacles, particularly related to the lack of the principle of impartiality of the mediator. This study uses a normative juridical method with a statutory approach and a conceptual approach. The results of the study indicate that the PHI Mediator is an administrative position attached to the state civil apparatus, not an independent profession. The absence of strict sanctions for violations of the code of ethics, limited mediation time, and the absence of conflict of interest regulations in the Minister of Manpower Regulation No. Law No. 17 of 2014 makes the mediator vulnerable to intervention by certain parties. This situation has implications for the emergence of recommendations that are potentially non-objective and detrimental to one of the parties. Therefore, the principle of impartiality is a fundamental element in Industrial Relations (PHI) mediation to ensure a fair, balanced, and substantively just dispute resolution.

In manufacturing industries, machining processes play a critical role in ensuring product quality, precision, and production efficiency. However, in the production of swing arm parts, the machining process has been identified as a bottleneck due to its non-optimal cycle time. One of the main issues contributing to this inefficiency is the disorganized handling of circlip inner parts. These components are often scattered without a designated placement system, which creates significant difficulties for operators when retrieving and installing circlips onto the swing arm. Such abnormalities disrupt workflow continuity, extend production time, and reduce overall productivity. To address this challenge, a circlip feeder machine was designed as a supporting device to assist operators and streamline the machining process. The design emphasizes efficiency, integration, and systematic operation by utilizing readily available workshop materials. The developed feeder machine is equipped with a robust frame construction and has a storage dimension capable of accommodating up to 200 circlips. In addition, mechanical analysis demonstrates that the feeder structure can withstand a maximum applied force of 31,475 N, ensuring durability and reliability during operation. The introduction of this circlip feeder machine directly impacts the production process by reducing operator workload, minimizing delays caused by disorganized parts, and ensuring faster and more accurate installation of circlips. Consequently, the overall machining cycle time is shortened, thereby improving production flow and enhancing the efficiency of swing arm part manufacturing. Beyond immediate time savings, the use of the feeder machine contributes to better resource utilization, reduced ergonomic strain on operators, and improved consistency in product quality. This study highlights the significance of simple yet effective mechanical innovations in overcoming production bottlenecks and optimizing manufacturing processes in automotive component industries.

The development of automotive technology drives innovation in vehicle support components, including the continuously variable transmission (CVT) system, which plays a crucial role in transmitting engine torque and power to the wheels. One of the main elements in this system is the clutch lining and clutch housing, whose performance significantly impacts motorcycle performance. However, the standard pattern on these components is often not optimal in maximizing power delivery. Therefore, this study was conducted to analyze the effect of modifying the grooves of the clutch lining and clutch housing on engine torque in a 110 cc motorcycle. The research method used an experimental approach by varying the modification pattern on the clutch lining and clutch housing. The test motorcycle with a capacity of 110 cc was tested using a dyno test to measure torque and power at various engine speeds. Each modification variation was then compared with standard conditions to evaluate the resulting performance differences. The results showed that the pattern modifications on the clutch lining and clutch housing significantly increased torque. Several modification variations were able to significantly increase torque at medium to high speeds, thus providing better engine response and more efficient power delivery. Thus, this research contributes to the development of more optimal CVT component designs and has the potential to improve motorcycle performance, especially in the small capacity vehicle segment.  

This study aims to analyze the effect of variations in the Continuously Variable Transmission (CVT) spring constant and the type of fuel on the performance of a 110 CC gasoline motorcycle engine. The CVT system is one of the important components in an automatic motorcycle that functions to transmit power from the engine to the rear wheels efficiently. CVT performance is greatly influenced by the spring constant used, because this component is directly related to the automatic gear ratio shifting process. On the other hand, the type of fuel also has an important role because it is related to the quality of combustion and the efficiency of energy produced by the engine. The test results show that the use of a CVT spring with a constant of 18.05 N/cm combined with Pertamax fuel is able to provide the best engine performance. In this configuration, the engine reaches a maximum power of 7.84 HP at 8200 rpm and a maximum torque of 9.30 Nm at 6200 rpm. This combination is proven to be the most optimal in increasing power and torque, thus providing more responsive acceleration. Furthermore, the use of a CVT spring with a constant of 25.20 N/cm combined with Pertamax also shows quite good performance, namely with a maximum power of 7.38 HP and a maximum torque of 8.56 Nm. Although the results are not as high as the first configuration, this combination is still quite effective in improving engine performance. Meanwhile, when using a spring with a higher constant of 33.69 N/cm, the resulting power tends to decrease to 7.02 HP with a torque of 8.02 Nm. In addition, the initial acceleration in this configuration is less responsive so it is not recommended for optimal performance.

The Terminal Loading Area (TLA) API at PT Pertamina Hulu Mahakam functions as a facility for processing oily water before being discharged into the environment. One of the main issues faced is the accumulation of thick floc (oil clumps) due to high emulsions in crude oil, along with the malfunctioning water spray valve on line 1, causing operators to resort to manual spraying using hydrant water. This increases the risk of exposure to hazardous chemicals such as Benzene, Toluene, and Xylene (BTX), which poses a health threat to workers. Therefore, improvements to the water spray system are needed to reduce BTX exposure and enhance the effectiveness of oil-water separation. This study aims to analyze the effectiveness of proposed improvements to the water spray system to reduce BTX exposure and improve the efficiency of oil-water separation. The methodology used includes literature review, field study, and technical testing. Proposed solutions include replacing or repairing the damaged water spray valve, adding piping networks to compartment 2 to distribute water more evenly, and using treated water (produced water) to optimize the system and reduce reliance on hydrant water. The results of the study indicate that replacing or repairing the water spray valve, adding piping networks, and using produced water effectively reduce BTX exposure while maintaining oil recovery effectiveness. The trials also showed that using the Oil Pump (P-3230 & P-3235) provides optimal pressure (8–9 barg) for water spray, compared to the less effective Water Pump (P-3200 & P-3205). Implementing these solutions is expected to reduce BTX exposure for workers, improve oil-water separation efficiency, and contribute to a safer and more efficient working environment.