International Journal of Science, Engineering and Information Technology
International journal of science, engineering and information techology (IJSEIT) is open access and peer-reviewed journal, published by Universitas Trunojoyo Madura which. We escalate both theoretical and experimental papers of permanent interest, not previously published in a journal that aims to promote the theory and practice of science, engineering and information technology. In addition to peer-reviewed original research papers, the Editorial Board welcomes original research reports, state-of-art reviews and communications in the broadly defined field of science, engineering and information technology Faculty of Engineering , The University of Trunojoyo Madura, Jl. Raya Telang PO BOX 2 Kamal, Bangkalan, 66192, East Java, Indonesia Publication Schedule : July and December First edition : December 2016 The scope of IJSEIT includes a wide spectrum of subjects including Science (Mathematics, Physics, Biology, Chemistry, Social Science, Material Sciences, Food Sciences, Environmental Science, Earth Science, Space Science, Agricultural Science, Sustainable Development, Applied Physics, Communicable Diseases, Emergency Medicine, Micro-Nano Sciences, Environmental Health). Engineering (Automotive Technologies, Material Engineering, Construction Materials, Design and Manufacturing, Dynamics and Control, Energy Generation, Utilization, Conversion, Fluid Mechanics and Hydraulics, Heat and Mass Transfer, Renewable and Sustainable Energy Technologies, Robotics and Mechatronics, Solid Mechanics and Structure, Thermal Sciences, Computer Vision and Robotics, Control Theory, Electromagnetic Waves, Microwave Techniques and Antennas, Embedded Systems, Integrated Circuits, VLSI Design, Testing, Microelectromechanical Systems, Microelectronics, Electronic Devices and Circuits, Power, Energy, and Signal). Information Technology and Systems (Coding, Cryptography, and Information Protection, Communications, Networks, Mobile Computing, and Distributed Systems, Compilers and Operating Systems, Computer Architecture, Supply Chain Management, Image Processing, Speech Processing, Strategy, Change Management, Human Resources, System Development, and Implementation, Communications, Software Engineering, Technology Developments, Technology Futures, Data Mining, Information Retrieval, Big Data, Internet, Cloud Data Management, E-Government, Smart City, Knowledge Management, Service Innovation, Digital Enablement, Business Process Management, Web Semantics, Visual and Audio Information Systems, Scientific Computing, and Organisational Behaviour).
Articles
142 Documents
<![CDATA[Teacher Competency in Implementing Islamic Education Learning - Based on Higher Order Thinking Skills (HOTS) at Junior High School ]]>
<![CDATA[Sulaiman, Akh.]]>
<![CDATA[ International Journal of Science, Engineering, and Information Technology Vol 9, No 2 (2025): IJSEIT Volume 09 Issue 02 July 2025 ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
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DOI: 10.21107/ijseit.v9i2.30624
<![CDATA[Teachers play an important role in ensuring the effectiveness and quality of the learning process and outcomes. Quality learning can be realized if teachers have strong competence in their fields of study, especially pedagogical competence that is closely related to learning practices. This is especially relevant in the context of Islamic Religious Education (PAI), where Higher Order Thinking Skills (HOTS)-based learning needs to be studied further at the junior high school level. This study aims to examine the pedagogical competence of teachers in the planning, implementation, and evaluation stages of HOTS-based PAI learning, as well as to identify the factors that influence these competencies at SMP Negeri 2 Pegantenan, Pamekasan. Using a qualitative research design with a phenomenological approach, the results of the study showed that the pedagogical competence of teachers in planning HOTS-based PAI learning was classified as good, as evidenced by the preparation of a good lesson plan (RPP). The implementation of PAI learning is in accordance with the planned strategy, which shows that the implementation of learning in the classroom is going well. Likewise with the evaluation of learning that has been carried out well. This study also identified several factors that influence teachers' pedagogical competence in HOTS-based Islamic Religious Education learning, including student characteristics, environmental context, teacher qualifications, and school policies.]]>
<![CDATA[Improving Root Cause Analysis of Production Defect Using AI: A Case Study in an Automotive Manufacturing Plant ]]>
<![CDATA[Najib, Muhammad]]>;
<![CDATA[Rifa'i, Emon]]>
<![CDATA[ International Journal of Science, Engineering, and Information Technology Vol 9, No 2 (2025): IJSEIT Volume 09 Issue 02 July 2025 ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
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DOI: 10.21107/ijseit.v9i2.31226
<![CDATA[In automotive manufacturing, repetitive defects often occur across different time periods, creating a valuable historical dataset containing defect names and their corresponding root causes. Traditionally, identifying the root cause of a production defect relied heavily on human analysis, requiring significant time and on-site inspection. This often led to delayed countermeasures, increased production downtime, and additional issues such as line stops. This study presents an AI-based approach to assist root cause analysis using historical defect data, aiming to reduce the analysis time and improve feedback accuracy. The implementation focused on enabling faster and more accurate identification of root causes by integrating a machine learning model into the factory’s defect recording system (ATPPM, Analisa Tindakan Penanggulangan dan Pencegahan Masalah). The development process involved data preprocessing, model training, and API deployment. The original dataset consisted of 3,128 records, which were cleaned and reduced to 1,449 labeled entries, each annotated with one of 161 unique root cause labels. Eleven machine learning models were evaluated, including Logistic Regression, Random Forest, SVM, and RNN. Initial evaluation using F1-score, precision, and recall showed Logistic Regression achieving the best F1-score of 0.83. Further validation using 5-Fold Cross Validation identified the Support Vector Machine (SVM) as the best-performing model, with an average accuracy of 89.1%. This model was deployed via a Python Flask API and integrated into the existing ATPPM system. The AI-powered system significantly accelerated the root cause analysis process, reducing the average analysis time by 228 minutes. Potential future enhancements involve automating the model’s training process on a regular schedule (weekly or daily), integrating additional data sources including big data and quality management systems, and scaling the current API implementation to multiple production lines for wider impact.]]>
<![CDATA[THE STRATEGY OF PT. ASTRA HONDA MOTOR IN MAINTAINING COMPETITIVE ADVANTAGE SUSTAINABLY MOTORCYCLE ]]>
<![CDATA[Rafsanjani, Sherva]]>;
<![CDATA[Rifai, Emon]]>
<![CDATA[ International Journal of Science, Engineering, and Information Technology Vol 9, No 2 (2025): IJSEIT Volume 09 Issue 02 July 2025 ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
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DOI: 10.21107/ijseit.v9i2.31136
<![CDATA[The motorcycle industry in Indonesia has been growing year after year, and consumers have a wide choice of Japanese and Chinese brands, which are aggressively promoting electric products. Based on sales figures from the Indonesian Motorcycle Industry Association (AISI), the Honda brand consistently dominates the market, achieving 80% market share and the highest sales growth over the past ten years. PT. Astra Honda Motor (AHM), as the Sole Brand Holder Agent (ATPM), implements a Sustainable Competitive Advantage (SCA) strategy: Positioning strategy through the product image of Honda motorcycles as high-tech, tough, fuel-efficient, with a wider range of product variants, and a trusted global brand. Distribution strategy through showrooms, authorized workshops, and spare parts outlets throughout Indonesia and relatively easy to find. A pricing strategy that sets prices quite high compared to competitors to demonstrate Honda's market leadership and product quality by providing assurance about its products.]]>
<![CDATA[Effects of Particle Size and Compaction Pressure on the Physical and Energy-Related Properties of Biopellets from Casuarina Equisetifolia ]]>
<![CDATA[Mubarok, Khamdi]]>;
<![CDATA[Prasetyo, Teguh]]>;
<![CDATA[Ghoni, M. Abdul]]>
<![CDATA[ International Journal of Science, Engineering, and Information Technology Vol 10, No 1 (2025): IJSEIT volume 10 Issue 1 December 2025 ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
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DOI: 10.21107/ijseit.v10i1.33397
<![CDATA[The increasing demand for renewable energy requires alternative resources to reduce fossil fuel dependency and mitigate climate change. Biomass has emerged as a promising solution due to its wide availability and favorable combustion characteristics. Casuarina equisetifolia, a fast-growing coastal species abundant in Indonesia, remains underutilized despite its potential as a bioenergy feedstock. This study investigates the effects of particle size variation (20, 40, and 60 mesh) and compaction pressure (2, 3, and 4 tonf) on the quality of biopellets produced from Casuarina equisetifolia. Biomass powder was mixed with 10% tapioca binder, compacted using a hydraulic press with a cylindrical mold, and oven-dried at 150 °C for 30 minutes. Pellet quality was evaluated through moisture content, density, and calorific value following SNI standards. The data were statistically analyzed using two-way ANOVA. The ANOVA results confirmed that both particle size and compaction pressure had significant effects (p 0.05) on all response variables. Moisture content decreased with finer particles and higher pressure, with the lowest value of 5.27% obtained at 60 mesh and 4 tonf. Density increased under the same conditions, reaching 1.191 g/cm³. Calorific value also varied significantly, with the maximum of 4697 cal/g observed at 20 mesh and 4 tonf. These findings demonstrate that optimization of particle size and compaction pressure is essential to improve both physical and energy-related properties of biopellets. The results highlight the potential of Casuarina equisetifolia as a sustainable biomass feedstock to support Indonesia’s Net Zero Emission 2060 target.]]>
<![CDATA[Ethical Conflicts Between Research Objectives and Participant Protection: An Ethical Analysis Using SEM-PLS in Industrial Engineering Students ]]>
<![CDATA[Hidayah, Nabilah Dzatil]]>
<![CDATA[ International Journal of Science, Engineering, and Information Technology Vol 10, No 1 (2025): IJSEIT volume 10 Issue 1 December 2025 ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
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DOI: 10.21107/ijseit.v10i1.32969
<![CDATA[Etika penelitian telah menjadi isu penting dalam kegiatan akademik, karena meningkatnya tekanan penelitian dapat memicu konflik kepentingan dan meningkatkan perlindungan partisipan penelitian. Artikel ini bertujuan untuk menganalisis hubungan antara tekanan penelitian, konflik kepentingan, kesadaran etika, pengambilan keputusan etis, dan perlindungan partisipan di kalangan mahasiswa Teknik Industri. Pendekatan kuantitatif digunakan dengan metode Structural Equation Modeling–Partial Least Squares (SEM-PLS). Data dikumpulkan dari 80 mahasiswa tingkat akhir sarjana dan dikirimkan melalui kuesioner skala Likert lima poin. Hasil menunjukkan bahwa tekanan penelitian memiliki pengaruh yang signifikan terhadap konflik kepentingan (β = 0,564; p 0,001). Kesadaran etika ditemukan memiliki pengaruh yang kuat dan signifikan terhadap pengambilan keputusan etis (β = 0,696; p 0,001). Lebih lanjut, keputusan pengambilan berpengaruh positif terhadap perlindungan partisipan pada tingkat signifikansi marginal (β = 0,241; p = 0,057). Sebaliknya, konflik kepentingan tidak menunjukkan pengaruh yang signifikan terhadap pengambilan keputusan etis (β = 0,129; p = 0,113). Temuan ini menyoroti peran penting kesadaran etis dalam menjaga integritas pengambilan keputusan etis dan perlindungan peserta penelitian, meskipun tekanan struktural dalam penelitian terus berkontribusi pada munculnya konflik kepentingan.]]>
<![CDATA[Technical Performance Analysis of a 1 MWp Grid-Connected Photovoltaic System in Pangkalan Kerinci, Indonesia Using PVsyst Simulation ]]>
<![CDATA[Laksono, Dedi Tri]]>;
<![CDATA[Laksono, Deni Tri]]>;
<![CDATA[Fahmi, Monika Faswia]]>;
<![CDATA[Afrianti, Rien]]>;
<![CDATA[Dodi, Nofri]]>
<![CDATA[ International Journal of Science, Engineering, and Information Technology Vol 10, No 1 (2025): IJSEIT volume 10 Issue 1 December 2025 ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
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DOI: 10.21107/ijseit.v10i1.32479
<![CDATA[The increasing demand for clean energy in Indonesia has accelerated the deployment of grid-connected photovoltaic (PV) systems. This study presents a technical performance analysis of a 1 MWp grid-connected PV system located in Pangkalan Kerinci, Indonesia, using the PVsyst v7.4.6 simulation software. The system comprises 1818 Trina Solar TSM-DE19-550Wp modules mounted on a fixed-tilt structure (2.2° tilt, 180° azimuth) with two SMA Sunny Central 400 MV-11 inverters (DC/AC ratio = 1.25). Meteorological data from Meteonorm 8.1 (1996–2015) was used to simulate annual irradiation and system output. The results show an annual energy production of 1,404,124 kWh, corresponding to a specific yield of 1,404 kWh/kWp/year. The Performance Ratio (PR) reached 82.75%, indicating high system efficiency under tropical climatic conditions. Loss analysis revealed that thermal losses (9.36%) and IAM losses (2.58%) were the dominant factors, while inverter losses accounted for 2.86%. Module mismatch and wiring losses were minimal at 2.15% and 1.5%, respectively. The high PR and low degradation assumptions confirm the suitability of the selected configuration for equatorial regions. This study provides a robust technical benchmark for similar PV installations in Sumatra and supports optimal design decisions for future utility-scale solar projects in Indonesia.]]>
<![CDATA[Performance Evaluation of a 250 Wp Solar Photovoltaic Water Pumping System in Tropical Climate: A Case Study in Pangkalan Kerinci, Indonesia ]]>
<![CDATA[Afrianti, Rien]]>;
<![CDATA[Laksono, Dedi Tri]]>;
<![CDATA[Laksono, Deni Tri]]>;
<![CDATA[Fahmi, Monika Faswia]]>
<![CDATA[ International Journal of Science, Engineering, and Information Technology Vol 10, No 1 (2025): IJSEIT volume 10 Issue 1 December 2025 ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
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DOI: 10.21107/ijseit.v10i1.32508
<![CDATA[Access to clean water in remote tropical regions remains a critical challenge, particularly where grid electricity is unavailable. Solar photovoltaic (PV) water pumping systems offer a sustainable, off-grid solution. This study evaluates the technical performance of a 250 Wp PV-powered deep well water pumping system installed in Pangkalan Kerinci, Indonesia (0.41°N, 101.85°E). The system employs a single Trina Solar TSM-310PD14 module connected to a Sun Pumps SDS-D-128 DC membrane pump via an MPPT controller. Using PVSyst v7.4.6, a one-year simulation was conducted under realistic meteorological and hydraulic conditions, including a static water table at 4 m depth and a daily water demand of 0.30 m³. Results indicate that the system reliably meets annual water needs (109 m³/year) with negligible water deficit (0.163 m³, or 0.15%). The annual specific water yield is 522 m³/kWp/bar, while the system operates at an overall efficiency of 4.3% and a pump efficiency of 16.7%. Energy analysis shows 15.5 kWh/year delivered to the pump, with 42.6 kWh/year of excess solar energy unused due to tank capacity limits. The performance ratio (PR) is approximately 87%, confirming high system reliability in equatorial conditions. This study demonstrates the technical viability of small-scale solar pumping for rural water supply in Indonesia.]]>
<![CDATA[Comprehensive Hazard Identification and Risk Assessment (HIRARC) in the Coffee Production Process: A Case Study of Kopi Lanange Jagad ]]>
<![CDATA[Hidayat, _]]>;
<![CDATA[Nuruddin, Mochammad]]>;
<![CDATA[Ismiyah, Elly]]>;
<![CDATA[Dahda, Said Salim]]>;
<![CDATA[Mahbubah, Nina Aini]]>;
<![CDATA[Yusron, Rifky Maulana]]>;
<![CDATA[-, Rohmat]]>;
<![CDATA[Ridlo, Muhammad Zainur]]>
<![CDATA[ International Journal of Science, Engineering, and Information Technology Vol 10, No 1 (2025): IJSEIT volume 10 Issue 1 December 2025 ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
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DOI: 10.21107/ijseit.v10i1.32380
<![CDATA[Occupational Safety and Health (OSH) plays a critical role in maintaining safe and sustainable production, particularly in small-scale agro-industrial operations such as coffee processing. This study applies the Hazard Identification, Risk Assessment, and Risk Control (HIRARC) framework to evaluate workplace hazards at Kopi Lanange Jagad, a micro-scale coffee producer in Malang Regency, Indonesia. Field observations and structured interviews were conducted to identify potential hazards across four production stages roasting, grinding, sieving, and packaging. Quantitative measurements were also taken, including ambient temperature, noise level, and airborne dust concentration, to provide empirical data for risk evaluation. The findings identified a total of 12 hazards, classified into three risk categories: high (25%), moderate (50%), and low (25%). The roasting process exhibited the highest risk score (R = 18.4), with average workplace temperatures reaching 85°C–120°C, significantly exceeding the national occupational limit of 30°C for moderate workloads (Permenaker No. 5/2018). The grinding stage also presented considerable hazards, with airborne dust concentrations averaging 2.4 mg/m³, approaching the Ministry of Manpower’s threshold limit value (TLV) of 3 mg/m³. Manual packaging was associated with ergonomic strain, where workers lifted 15–20 kg sacks repeatedly, leading to potential musculoskeletal disorders. Risk evaluation revealed that existing control measures such as natural ventilation and sporadic use of personal protective equipment (PPE) were insufficient to ensure worker safety. To reduce these hazards, the study recommends implementing engineering controls such as local exhaust ventilation and machine insulation, combined with administrative measures including job rotation, scheduled rest breaks, and regular safety training. Ensuring consistent PPE use especially heat-resistant gloves, dust masks, and ear protection can further mitigate residual risks. Overall, the application of the HIRARC framework at Kopi Lanange Jagad demonstrates its effectiveness as a low-cost and practical tool for identifying, prioritizing, and managing occupational hazards in small-scale coffee industries. Implementation of the proposed control strategies is projected to reduce total workplace risk by 35–40%, improving both worker well-being and operational productivity.]]>
<![CDATA[ANALISIS PROGRAM RESTRUKTURISASI KREDIT DALAM MENINGKATKAN KINERJA BANK BRI SUMENEP (STUDI KASUS SELAMA MASA PANDEMI COVID 19) ]]>
<![CDATA[Umyana, Siti]]>
<![CDATA[ International Journal of Science, Engineering, and Information Technology Vol 10, No 1 (2025): IJSEIT volume 10 Issue 1 December 2025 ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
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DOI: 10.21107/ijseit.v10i1.33614
<![CDATA[A credit that is said to be bad must have a rescue effort, if leftunchecked it will cause losses to the bank. Rescue can be done by restructuring (rearrangement). With restructuring in accordance with the condition of debtors who are potentially unable to pay, the liquidity of a bank can be maintained. One of the banks that issued a policy for implementing credit restructuring, namely BankBRI, Bank BRI Sumenep Branch is the branch with the most BRI Bank Units on Madura Island which also implemented a credit restructuring program. The purposeof this study is to determine the credit restructuring program and its implications for improving the performance of Bank BRI Sumenep Branch. This study uses a qualitative approach and the type of field research, while the data analysis uses the stages of data collection, data reduction, data presentation, and verification/drawingconclusions.The results of this research are first, the BRI Sumenep branch of the bank carried out a credit restructuring program in 3 ways, namely extending the term, reducing interest rates, and grace periodi. and the needs of debtorsin Sumenep Regency. The recipient of the credit restructuring must meet 3 criteria, namely (1) there is good faith from the debtor/cooperative, (2) business prospects are still good, and (3) the business is still running, but during Covid-19 the criteriafor credit restructuring recipients were relaxed to become only 1, namely 'the business is still running'. Second, The credit restructuring program carried out by Bank BRI Sumenep Branch is considered successful in reducing the level of non-performing loans, namely by May 2022 the data on the number of restructured accounts has reached 17 accounts from 21 accounts in December 2021 and in nominal terms in May 2022 only Rp. 10,142,857,142 from Rp.15,371,461,327 in December 2021. So that the performance of Bank BRI Sumenep Branch is getting better after the credit restructuring program]]>
<![CDATA[AI-Based Visual Inspection for Torsion Spring Installation in Automotive Transmission Manufacturing ]]>
<![CDATA[Najib, Muhammad]]>;
<![CDATA[Rifa'i, Emon]]>
<![CDATA[ International Journal of Science, Engineering, and Information Technology Vol 10, No 1 (2025): IJSEIT volume 10 Issue 1 December 2025 ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
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DOI: 10.21107/ijseit.v10i1.33534
<![CDATA[In the context of Industry 4.0, automotive manufacturing increasingly adopts artificial intelligence (AI) to improve quality assurance and reduce dependency on manual inspection. One critical issue in transmission assembly is improper installation of torsion spring components on the parking lock pole, which can lead to transmission malfunction and severe quality defects. Traditionally, this inspection process relies on human visual checking, which is time-consuming and prone to human error due to fatigue and varying operator conditions. This research proposes an AI-based visual inspection system to automatically detect incorrect torsion spring installation in a car transmission production line. The proposed system utilizes Convolutional Neural Network (CNN) models for image classification, deployed on an edge computing device integrated with Programmable Logic Controller (PLC) interlocking. Three CNN architectures (MobileNet, EfficientNet, and ResNet) are evaluated to identify the most suitable model for this application. The dataset consists of production images captured directly from the factory environment, with data augmentation applied to enhance robustness under varying lighting conditions. Model performance is evaluated using accuracy and K-Fold Cross-Validation. Experimental results show that the ResNet model achieves the highest performance, with an average accuracy of 99.66%, demonstrating its effectiveness in detecting improper torsion spring installation. The implementation of the proposed system eliminates the need for human visual inspection and reduces processing time in the production process. This study confirms that AI-based edge vision systems can significantly enhance quality assurance in automotive transmission manufacturing.]]>
