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
145 Documents
<![CDATA[An Experimental Study on the Influence of Injection Timing Variations on Diesel Engine Performance Using Dexlite and Cooking Oil Blends ]]>
<![CDATA[Rahayu Mekar Bisono]]>
<![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.v10i1.33554
<![CDATA[This study aims to analyze the effect of firing point variations on the performance of the S195 type diesel engine using a mixture of Dexlite fuel and cooking oil. The firing point variations used were 17°, 18°, and 19° before TDC, with the fuel mixture containing 30% cooking oil. Tests were conducted to measure thermal efficiency, specific fuel consumption (SFC), and engine output power. The results showed that proper firing point settings can increase thermal efficiency and decrease SFC, especially at an angle of 18°, where the highest thermal efficiency was 24.80% and the lowest SFC was 0.342 kg/kWh. In addition, the use of this mixed fuel was able to provide more perfect combustion than pure Dexlite fuel. The conclusion of this study suggests the need for good engine maintenance and proper injection timing to improve the performance of diesel engines based on mixed fuel, as well as an effort to utilize cooking oil as a renewable energy source.]]>
<![CDATA[SERVICE QUALITY, PROMOTION AND AFTER SALES SERVICE EFFECT ON HONDA MOTORCYCLE CUSTOMER SATISFACTION AT ASTRA MOTOR CENTER JAKARTA ]]>
<![CDATA[Sherva Rafsanjani]]>
<![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.v10i1.33610
<![CDATA[Companies in the motorcycle business exist to meet the public's driving needs, leading to intense competition among similar companies in presenting product excellence to capture consumer attention. This competition is unavoidable for Honda Astra Motor Center Jakarta , which must continuously strive to achieve its desired market share through strategic business policies and excellent service aimed at customer satisfaction.To face this intense competition, companies need to conduct intensive promotional activities using various promotional media such as print, electronic, and outdoor media. However, to increase product sales, companies must be able to strictly and selectively select the advertising media they will use for their own promotional activities. The purpose of this study is to determine the effect of service quality, promotion, and after-sales service on customer satisfaction, service quality on customer satisfaction, promotion on customer satisfaction, and how after-sales service conditions affect customer satisfaction. The testing process was carried out using several methods: validity testing, reliability testing, multicollinearity testing, heteroscedasticity testing, normality testing, and multiple linear regression analysis. The results of the Effect of Service Quality, Promotion and After Sales Service on Consumer Satisfaction Simultaneously at the level of significance below 0.05, service quality, promotion, and after sales service have a simultaneous effect on customer/consumer satisfaction. For the Partial Effect of Service Quality on Consumer Satisfaction through questionnaires distributed to respondents, most respondents stated that they agree that service quality has a positive effect on customer/consumer satisfaction. For the Partial Effect of Promotion on Consumer Satisfaction, it states that promotion has a significant effect on customer/consumer satisfaction. In the Partial Effect of After Sales Service on Consumer Satisfaction, most respondents stated that they did not agree that after sales service has a positive effect but has a negative effect on customer/consumer satisfaction.]]>
<![CDATA[Digital-Based Soybean Raw Material Inventory Optimization Using Economic Order Quantity, Safety Stock, and Reorder Point Methods at Tofu MSME CV XYZ ]]>
<![CDATA[Nuriyanti Arifiyah]]>;
<![CDATA[Emon Rifa'i]]>;
<![CDATA[Cristina Beatrice Mallari]]>
<![CDATA[ International Journal of Science, Engineering, and Information Technology Vol 10, No 2: IJSEIT volume 10 Issue 2 July 2026 ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
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DOI: 10.21107/ijseit.v10i2.35362
<![CDATA[Raw material inventory control that ignores actual demand patterns may cause overstocking, stockouts, emergency purchases, and higher operating costs. This study aims to determine the economic order quantity, ordering frequency, safety stock, dynamic reorder point, and relevant soybean inventory costs, and to design a digital inventory control system for Tofu MSME CV XYZ. A quantitative descriptive case-study approach was applied using annual demand of 166,320 kg, an ordering cost of IDR 100,000 per order, a holding cost of IDR 1,600 per kg per year, a two-day lead time, 324 production days, daily demand observations, and monthly and seasonal demand patterns. The results show an EOQ of 4,559.61 kg, rounded to 4,560 kg per order, with 36–37 orders per year and an average interval of 8.88 production days. At a 95% service level, safety stock is 50 kg. The baseline reorder point is 1,077 kg, while the dynamic monthly reorder point ranges from 1,010 to 1,190 kg and reaches 1,210 kg under peak holiday demand. The total relevant inventory cost is IDR 7,375,368 per year. The proposed digital inventory system integrates transaction records, automatic balance updates, monthly reorder points, and safe, reorder, and critical stock alerts. The integrated policy is more economical, measurable, and responsive to seasonal demand variation.]]>
<![CDATA[PatchCore-Based Roof Anomaly Detection for Automotive Manufacturing Quality Inspection ]]>
<![CDATA[Muhammad Najib]]>
<![CDATA[ International Journal of Science, Engineering, and Information Technology Vol 10, No 2: IJSEIT volume 10 Issue 2 July 2026 ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
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DOI: 10.21107/ijseit.v10i2.36015
<![CDATA[Visual inspection plays an important role in maintaining product quality in automotive manufacturing. In roof inspection, abnormalities may occur across different vehicle types and require consistent inspection of both right and left sides. This study investigates the application of a PatchCore-based anomaly detection approach for roof abnormality inspection in an automotive manufacturing environment. The proposed system utilizes two cameras to capture the right and left roof areas, while the inspection result is classified as normal or abnormal through an AI-based model. PatchCore, implemented using the Anomalib library, was selected as the anomaly detection model. The dataset was determined based on production volume and defect information, resulting in 823 normal data and 44 synthetically generated anomaly images for model development and evaluation. Image preprocessing consisted of background removal and calibration, cropping, resizing to 256 pixels, and grayscale conversion. Before model development, outlier data such as blurred images, incorrect capture positions, wrong vehicle types, hand occlusion, and lighting issues were identified and excluded from training. The model was evaluated using prediction score distributions, AUROC, and recall, followed by miss-prediction analysis and iterative improvement of the training data and preprocessing process. The analysis showed that variations in brightness, capture position, and preprocessing could affect the separation between normal and anomalous data and could cause certain anomalies to be missed when anomaly-related regions were removed during preprocessing. Based on the final evaluation, the practical detection level of this AI model reached 95% for Vehicle Model_A and 86% for Vehicle Model_B, determined using recall values. Based on the observed prediction score distributions in this study, an operational uncertainty range between 0.4 and 0.6 was defined for additional human verification. The results demonstrate that PatchCore can support roof abnormality inspection while highlighting the importance of data quality, preprocessing consistency, and iterative model analysis for practical implementation in automotive manufacturing.]]>
<![CDATA[Relationship Between Leadership, Organisational Culture, and Communication as Determinants of Hotel Employee Performance using Double Regresion Linear Methods. ]]>
<![CDATA[Siti Umyana]]>
<![CDATA[ International Journal of Science, Engineering, and Information Technology Vol 10, No 2: IJSEIT volume 10 Issue 2 July 2026 ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
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DOI: 10.21107/ijseit.v10i2.36024
<![CDATA[This study examines the effects of leadership, organizational culture, and communication on employee performance at De Baghraf Hotel in Sumenep, Indonesia. A quantitative explanatory design was employed. Primary data were collected using a five-point Likert questionnaire from all 32 employees through saturated sampling and analyzed using multiple linear regression in SPSS. The results indicate that leadership has a positive but statistically insignificant coefficient (B = 0.394; p = 0.233), organizational culture is positive but insignificant (B = 0.289; p = 0.191), and communication is also positive but insignificant (B = 0.077; p = 0.748). Collectively, the three predictors significantly influence employee performance (F = 5.427; p = 0.005). The model explains 36.8% of the variance in performance, with an adjusted R-squared of 30.0%. The findings suggest that leadership, culture, and communication should be managed as an integrated human-resource system rather than as isolated interventions. Hotel management should strengthen cross-department briefings, role clarity, service standards, feedback mechanisms, and team-based coordination to improve operational performance.]]>
