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INDONESIA
Jurnal Inkofar
Published by Politeknik Meta Industri
ISSN : 26153645     EISSN : 25812920     DOI : https://doi.org/10.46846/jurnalinkofar.v9i1
Core Subject :
INKOFAR Journal is an international peer-reviewed journal published by Politeknik META Industri Cikarang. The journal provides a scientific platform for academics, researchers, practitioners, and professionals to publish original research articles, review papers, case studies, and applied research findings. The journal focuses on multidisciplinary studies in the following fields: 1. Industrial Engineering Production and Operations Management Supply Chain and Logistics Management Ergonomics and Human Factors Quality Engineering and Quality Control Systems Engineering and Optimization Sustainable Manufacturing Decision Support Systems Industrial Management and Productivity 2. Computer Engineering and Informatics Artificial Intelligence and Machine Learning Software Engineering Data Science and Big Data Analytics Internet of Things (IoT) Computer Networks and Cybersecurity Information Systems Web and Mobile Application Development Human-Computer Interaction 3. Pharmacy and Health Technology Pharmaceutical Technology Pharmacology and Toxicology Clinical and Community Pharmacy Herbal and Natural Product Research Drug Delivery Systems Biomedical and Health Innovation Pharmaceutical Chemistry Public Health and Healthcare Technology INKOFAR Journal welcomes interdisciplinary research that contributes to scientific development, technological innovation, sustainability, and practical solutions for industry and society.
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Articles 37 Documents
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Development of a Double-Cutting Blade Sharpening Jig to Reduce Setup Time at PT XYZ Agus Widodo; Agung Tri Tjiptadi; Merdieco Rivandi; Joko Prasetyo
INKOFAR Vol. 10 No. 1 (2026)
Publisher : Politeknik META Industri Cikarang

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Abstract

Background The sharpening process of double-cutting blades plays a critical role in maintaining production efficiency in manufacturing industries. However, the existing sharpening jig requires complex setup procedures involving dial indicator adjustments, resulting in prolonged setup and machining times that limit productivity and make it difficult to achieve production targets. Purpose This study aims to develop and modify a double-cutting blade sharpening jig to simplify the setup process, reduce sharpening time, and improve productivity in the blade maintenance process at PT XYZ. Methodology The sharpening jig was designed using SolidWorks software to develop a three-dimensional (3D) model that facilitated an efficient and accurate design process. The jig was then fabricated through machining operations, including surface grinding and milling. The effectiveness of the modified jig was evaluated by comparing the sharpening performance before and after the improvement based on the total processing time required to sharpen ten double-cutting blades.. Findings The modified sharpening jig simplified the operating procedure by eliminating the need for dial indicator adjustment and repeated setup operations. Performance evaluation showed that the original jig required 6 h 49 min 58 s to sharpen 10 double-cutting blades, whereas the improved jig completed the same task in 4 h 32 min 32 s, corresponding to a processing time reduction of approximately 33.5%. In addition, the average sharpening time was reduced to 27 min 15 s per blade, demonstrating a significant improvement in operational efficiency and productivity Implications The proposed jig provides a practical solution for reducing setup complexity and machining time while improving production efficiency. The simplified design can support lean manufacturing initiatives by minimizing non-value-added setup activities, increasing equipment utilization, and reducing operational costs associated with blade maintenance. Originality This study introduces an improved double-cutting blade sharpening jig that eliminates dial indicator adjustments through a simplified fixture design. The proposed modification not only reduces setup time but also enhances machining efficiency, offering a practical and cost-effective solution for improving blade sharpening operations in manufacturing environments..
Pressure Loss Analysis In Clean Water Supply Distribution At The Regional Drinking Water Company (Pdam) Muhammad Noval; Fadil Abdullah; Zulfadillah
INKOFAR Vol. 10 No. 1 (2026)
Publisher : Politeknik META Industri Cikarang

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Abstract

Background Water distribution systems require accurate analysis of flow characteristics and head losses to ensure efficient hydraulic performance. Manual calculations using fluid mechanics equations can be used to determine flow losses in pipes and fittings, while hydraulic simulation software such as EPANET 2.0 provides an alternative approach for analyzing water distribution systems. However, differences between manual calculations, Microsoft Excel calculations, and EPANET 2.0 simulations require further evaluation to assess the consistency and accuracy of the results. Purpose This study aims to calculate water flow and head losses in a water distribution system using manual calculations and Microsoft Excel, and to compare the results with those obtained using EPANET 2.0 software Methodology The study applies hydraulic calculations based on the Reynolds number (Re), Darcy–Weisbach equation for major head loss, and minor loss equation for fittings and other hydraulic components. The equations used include (Re = \frac{\rho VD}{\mu} = \frac{VD}{\nu}), (h_f = f\frac{LV^2}{2gD}), and (h_m = K\frac{V^2}{2g}). Microsoft Excel is used to facilitate the calculation of friction factors and pipe head losses. The results are subsequently compared with simulations conducted using EPANET 2.0, which models physical components including junctions, reservoirs, tanks, emitters, pipes, pumps, valves, and minor losses. The Hazen–Williams equation is applied in EPANET 2.0 for head-loss calculations. Findings The analysis provides comparative results of flow characteristics and head losses obtained through manual calculations, Microsoft Excel, and EPANET 2.0 simulations. The comparison indicates the extent of agreement between the analytical and software-based approaches and identifies differences resulting from the calculation methods and hydraulic assumptions applied in each approach. Implications The comparison provides practical information regarding the applicability of manual calculations, Microsoft Excel, and EPANET 2.0 for hydraulic analysis. The results can support students, researchers, and practitioners in selecting an appropriate calculation and simulation approach for evaluating water distribution systems and pipe-flow losses. Originality This study contributes a comparative framework for evaluating hydraulic head-loss calculations using conventional fluid mechanics equations, Microsoft Excel, and EPANET 2.0. The comparison provides an integrated perspective on the consistency of manual and software-based hydraulic analysis.
IMPLEMENTATION OF ANALYTICAL HIERARCHY PROCESS (AHP) IN A LAPTOP SELECTION DECISION SUPPORT SYSTEM FOR NEW STUDENTS Muhammad Khatami; Sastika Amalia; Nahdah Fadhilah; Li Idi'il Fitri; Melva Dwiyanti; Fahriansyah Sebayang; Jeli Marito Oppusuggu; Raja Rahmat Syawal
INKOFAR Vol. 10 No. 1 (2026)
Publisher : Politeknik META Industri Cikarang

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Abstract

Background Laptop selection for first-year university students involves multiple technical and non-technical criteria, making the decision-making process complex. Purpose This study aims to implement the Analytical Hierarchy Process (AHP) as a decision support system to determine the most suitable laptop alternative among Acer, Asus, and HP. Methodology The study involved 30 first-year university students selected using purposive sampling. Five main criteria were identified: Aesthetic, Durability, Features, Performance, and Perceived Quality. Pairwise comparison data were aggregated using the geometric mean method. All comparison matrices satisfied the consistency requirement (CR ≤ 0.1). Findings The results indicate that Durability (0.4721) is the most dominant criterion, followed by Performance (0.2014), Perceived Quality (0.1683), Features (0.0946), and Aesthetic (0.0636). The global priority results show that Acer (0.7146) ranks first, followed by HP (0.1473) and Asus (0.1381)[. Implications Sensitivity analysis demonstrates that the ranking remains stable under reasonable weight variation Originality This study provides practical recommendations for students and methodological contributions in applying AHP with consistency and robustness testing.
ANALYSIS OF CRITICAL SUCCESS FACTORS FOR INDUSTRY 4.0 ADOPTION IN MANUFACTURING INDUSTRY: A SYSTEMATIC LITERATURE REVIEW USING PRISMA 2020 Aji Pamungkas; Gustam Efendi; Manase Sahat H Simarangkir; Rita Purnamasari
INKOFAR Vol. 10 No. 1 (2026)
Publisher : Politeknik META Industri Cikarang

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Abstract

Industry 4.0 adoption has become a key strategy for manufacturing industries to enhance competitiveness. However, itsimplementation faces various challenges. This study aims to identify and analyze the Critical Success Factors (CSFs) forIndustry 4.0 adoption in the manufacturing sector using a Systematic Literature Review based on PRISMA 2020. Data werecollected from 10 international and national journal articles indexed by Scopus and SINTA from 2018 to 2022. The synthesisrevealed 8 main CSFs: top management support, implementation strategy, technological infrastructure, competent humanresources, organizational culture, collaboration, cybersecurity, and government policy. Studies by Lestari et al. (2020) andWibowo et al. (2022) confirm that the readiness of Indonesian SMEs is a determining factor. This study provides an applicableCSF framework for manufacturing managers to plan their Industry 4.0 adoption roadmap. The limitation of this study lies inthe year range and the focus on the manufacturing sector
Screen-printed anti-radiation woven fabric with conductive carbon layer and Corona plasma treatment optimized by regression method Mutiara Tanjung; Valentinus Galih Vidia Putra; Fadil Abdullah
INKOFAR Vol. 10 No. 1 (2026)
Publisher : Politeknik META Industri Cikarang

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Abstract

Background Electromagnetic radiation from electronic devices, including mobile phones, has encouraged the development of textile materials that can provide electromagnetic shielding. Conductive materials such as conductive carbon can be applied to textile surfaces to improve their ability to absorb electromagnetic radiation. Purpose This study aims to investigate the effect of Corona plasma discharge pretreatment on the electromagnetic radiation shielding performance of woven fabrics coated with conductive carbon. The study also aims to optimize the plasma treatment conditions based on plasma exposure time and electrode distance using regression analysis. Methodology Woven fabrics were treated using Corona discharge plasma with a tip-plane electrode configuration under atmospheric pressure, room temperature, and ambient gas conditions. Two plasma treatment parameters were varied: plasma exposure time and electrode distance. Following plasma pretreatment, conductive carbon was applied to the woven fabrics using screen printing and pretreatment coating techniques. The resulting fabrics were then evaluated based on their ability to reduce electromagnetic radiation generated by a mobile phone. Regression analysis was applied to model the relationship between plasma treatment parameters and radiation levels. Findings The results indicate that Corona plasma pretreatment combined with conductive carbon coating can improve the electromagnetic radiation shielding performance of woven fabrics. The lowest electromagnetic radiation level was obtained at an electrode distance of 4 cm and a plasma exposure time of 3 minutes. The regression model showed an R-squared value of 0.9231, indicating that the model provided a strong explanation of the relationship between plasma exposure time and radiation level. Implications The findings demonstrate that plasma pretreatment can be used as part of the fabrication process for conductive textile materials designed for electromagnetic radiation shielding. Originality The originality of this study lies in the application of regression analysis to optimize the design of woven fabrics treated with Corona discharge plasma and coated with conductive carbon for electromagnetic radiation shielding. The combination of plasma pretreatment, conductive carbon screen printing, and regression-based optimization provides an approach for determining suitable plasma treatment conditions for the development of anti-radiation textile materials.
Quantum Neural Network Approach to Economic Corruption Decision-Making and Optimal Anti-Corruption Policy Risita Dwi Astuti; Wiwiek Eka Mulyani; Valentinus Galih Vidia Putra; Surya Mega Wijaya; Juliany Ningsih Mohamad; Arief Dewanto; Fadil Abdullah
INKOFAR Vol. 10 No. 1 (2026)
Publisher : Politeknik META Industri Cikarang

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Abstract

Background Economic corruption remains a major challenge because it generates substantial fiscal losses, weakens institutional performance, and undermines public trust. Classical economic approaches, particularly Becker’s rational choice framework, explain corruption decisions primarily through the expected utility derived from illegal gains, the probability of detection, and the severity of punishment. Purpose This study aims to develop a Quantum Becker Model (QBM) based on Quantum Neural Networks (QNNs) to provide a quantum probabilistic representation of individual and organizational corruption decisions. Methodology The proposed model represents individual cognitive states as qubits, with their evolution controlled by parameterized quantum rotation gates. Organizational corruption contagion is represented through quantum entanglement between individual decision states. Anti-corruption policy is formulated as an optimization problem by minimizing a Hamiltonian-based social loss function using a hybrid quantum gradient descent approach. Findings Numerical simulations demonstrate that the QBM can represent nonlinear relationships between corruption decisions, detection probability, and policy interventions. The model also captures organizational corruption contagion through interactions between interconnected cognitive states, providing behavioral dynamics that are not readily represented by conventional expected-utility models. The simulation results indicate that increasing the probability of corruption detection through effective auditing and institutional transparency produces a stronger deterrence effect than relying solely on increasing the severity of sanctions. Implications The findings suggest that anti-corruption strategies should place greater emphasis on increasing the perceived and actual probability of detection through effective auditing, transparency, and institutional monitoring. . Originality The originality of this study lies in integrating Becker’s economic theory of crime with quantum machine learning through a Quantum Neural Network framework. By representing cognitive uncertainty using qubits and organizational contagion using quantum entanglement, the proposed approach offers a novel computational perspective for analyzing nonlinear corruption behavior and designing economically efficient anti-corruption policies.
Design and Development of a Lecturer Academic Portfolio Platform Based on Serverless JAMstack Architecture with Supabase Backend-as-a-Service Adam Puspabhuana; Yudi Triyana
INKOFAR Vol. 10 No. 1 (2026)
Publisher : Politeknik META Industri Cikarang

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Abstract

Background Digitalizing academic portfolios is an urgent need for lecturers in Indonesia to enhance their scientific visibility and meet accreditation requirements. However, the currently available Content Management System (CMS) platforms are generic and not designed to accommodate the specific needs of academic portfolios for lecturers. Purpose This research aims to design and implement a serverless CMS platform tailored for faculty academic portfolios, using a zero-configuration deployment approach Methodology The research adopts the Design Science Research (DSR) framework comprising six stages. Evaluation was conducted through black-box testing with 20 scenarios derived from the functional requirements specification, comparative analysis using five evaluation criteria (academic features, deployment complexity, infrastructure requirements, security mechanisms, and operational cost), and heuristic evaluation involving five evaluators consisting of usability experts and information systems lecturers based on Nielsen’s ten usability principles. Findings This platform was successfully developed using the Jamstack architecture, with Supabase as the Backend-as-a-Service (BaaS). All 20 functional test scenarios were validated with a 100% success rate. Heuristic evaluation yielded an average score of 4.1 out of 5 Implications The research results contribute to the development of a serverless academic web application architecture and offer practical solutions for digitalizing faculty portfolios in Indonesia Originality Beyond implementing a serverless portfolio platform, this research contributes a reusable architectural model for academic CMS development that integrates Jamstack, Backend-as-a-Service, zero-configuration deployment, and multi-layer security architecture..

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