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Tekinfo | Scientific Journal of Industrial and Information Engineering
Published by Universitas Setia Budi
ISSN : 23031476     EISSN : 23031867     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Industrial & Manufacturing Engineering
Scientific Journal of Industrial Engineering and Information (Tekinfo) is a journal managed by Study Programme of Industrial Engineering, Faculty of Engineering, Universitas Setia Budi. Tekinfo published every six months, in May and November in each year. Our published manuscript covers disciplines of Industrial Engineering and Information Technology. We are open to readers and researchers to contribute submit the articles. It is our hope that research published at Tekinfo provide a meaningful contribution to the development of science and technology. Our thanks to all the researchers who participated also to the readers of the Tekinfo journal. Each article published in Jurnal Tekinfo is Open Access. Full text can be freely accessed, but still observes the principles of literacy in terms of citations or references.
Arjuna Subject : -
Articles 194 Documents
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Analisis Tekno Ekonomi dan Optimalisasi Armada Transportasi CV. XYZ Her Tafga Arfanindita; Anirawilda Purba; Siti Mardiyah; Welly Mahardhika
Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi Vol 14 No 2 (2026)
Publisher : Program Studi Teknik Industri Universitas Setia Budi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31001/tekinfo.v14i2.2891

Abstract

CV. XYZ is a company engaged in the distribution of herbal products, honey, and books, where one of its main operational activities is delivering products to partner pharmacies. Currently, the distribution process relies on motorcycles, which have limited carrying capacity. This limitation results in inefficiencies in delivery time, increased operational costs, and a higher risk of product damage due to weather conditions. Therefore, it is necessary to evaluate alternative transportation modes to improve distribution performance and operational efficiency. This study aims to analyze the investment feasibility of three transportation alternatives, namely purchasing a new box truck, purchasing a used box truck, and renting a box truck. The research applies a techno-economic analysis using Net Present Value (NPV) and Payback Period (PP) methods. Data were collected through field observations, interviews with company stakeholders, and relevant literature studies. The results indicate that all investment alternatives are financially feasible, as they generate positive NPV values. However, the used box truck alternative yields the highest NPV of Rp1,851,659,384 and the shortest payback period of 1 month and 27 days. Therefore, purchasing a used box truck is identified as the most optimal alternative for improving distribution efficiency at CV. XYZ. This study is expected to provide practical insights for investment decision-making, particularly for small and medium-sized enterprises in the logistics and distribution sector.
Pengembangan Merchandise Untuk Branding Universitas Menggunakan 3D Printing Siti Mardiyah; Julian Anindito Widiatmoko; Her Tafga Arfanindita; Welly Mahardhika; Husna Nadiya Asy Syahidah; Ikhsanudin Meinanda
Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi Vol 14 No 2 (2026)
Publisher : Program Studi Teknik Industri Universitas Setia Budi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31001/tekinfo.v14i2.2896

Abstract

Merchandise serves as a branding medium that can be utilized to build the image of an organization, including higher education institutions. However, merchandise development in universities is often still generic and has not optimally explored institutional identity elements in an integrated manner, nor has it been widely examined from the perspective of user perception toward design and production technology. This study aims to develop a merchandise product in the form of a keychain that represents the identity of Universitas Tidar, while also evaluating the influence of design and 3D printing technology information on user perception. Two keychain designs were developed based on the identity elements of Universitas Tidar and realized into 3D models using CAD software, then fabricated using 3D printing technology. The evaluation was conducted through a questionnaire involving 440 student respondents based on four aspects: identity, usability, quality, and aesthetics, while considering differences in information treatment regarding the production process. The results indicate that both designs received generally positive ratings, with no statistically significant difference between them. In addition, providing information about the use of 3D printing technology did not significantly influence respondents’ perceptions. Further findings reveal that color is the most dominant factor affecting respondents’ evaluations, particularly in representing the university’s visual identity. Therefore, selecting colors that are more aligned with the identity of Universitas Tidar should be prioritized in future design development to enhance the effectiveness of merchandise as a branding medium.
Analisis Keluhan Pengguna pada Aplikasi Layanan Kesehatan Berbasis Text Mining Nur Laily Haryanti; Sayyidah Maulidatul Afraah; Ratih Dianingtyas Kurnia
Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi Vol 14 No 2 (2026)
Publisher : Program Studi Teknik Industri Universitas Setia Budi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31001/tekinfo.v14i2.2957

Abstract

The digital transformation of healthcare in Indonesia has led to the emergence of services like Mobile JKN to improve access and service efficiency. However, ongoing user complaints regarding ease of access and system reliability indicate the need for user experience-based evaluation. This study aims to identify user complaint patterns, evaluate the ease of application access, and formulate recommendations for improvements to enhance the quality of digital public services in the healthcare sector, particularly the Mobile JKN application. This study uses a text mining approach to user reviews on the Google Play Store, referring to software quality characteristics based on the ISO/IEC 25010 standard. The research process was carried out through several stages, starting from data collection (scraping), preprocessing and text cleaning, review filtering based on keywords related to performance and satisfaction, and sentimen analysis to understand user perceptions more comprehensively. The results of word frequency analysis and word cloud visualization indicate that the most dominant user complaints are related to security and access control, particularly related to login problems and OTP verification failures that hinder service access. On the other hand, this application demonstrates excellence in performance efficiency, particularly the online queuing feature which is considered fast, practical, and helps users save time. Based on a SWOT analysis, this study recommends strengthening the authentication system infrastructure and improving data synchronization to minimize access barriers and increase user trust. These findings are expected to serve as a strategic reference for digital healthcare managers in improving service quality, user retention, and community satisfaction in a sustainable manner.
Integration of Data Driven Approach Using AHP, Clustering, AR-MBA, and Classification to Improve Performance of MSME Restaurant Aji Adinata Firjatullah; Reyhandi Rachmad Fadila Wicaksono; Dwi Adi Purnama
Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi Vol 14 No 2 (2026)
Publisher : Program Studi Teknik Industri Universitas Setia Budi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31001/tekinfo.v14i2.2628

Abstract

The restaurant industry in Indonesia has experienced rapid growth alongside technological advancements and digitalization. Innovations in service, marketing, and operations have become key factors in improving business performance amid intense competition. SMEs such as Warung Makan Mantap Jaya in Yogyakarta need to implement the right strategies to adapt, enhance customer satisfaction, and strengthen their competitiveness. This study aims to formulate data-driven performance improvement strategies by integrating the Analytical Hierarchy Process (AHP), Clustering, Association Rule–Market Basket Analysis (AR-MBA), and Classification methods using data from 150 respondents. The results indicate that, based on the AHP method, renovating the premises is the top priority with the highest weight of 0.389, followed by discount innovations (0.365) and menu promotions (0.235). Clustering analysis identified three customer segments with distinct characteristics, where the majority of customers fall into the dissatisfied group, characterized by low visit frequency, low spending, and dissatisfaction with service. Meanwhile, some customers exhibit high satisfaction levels with higher visit frequency and spending. AR-MBA analysis identified purchasing patterns that generated menu bundling recommendations, such as combinations of Iced Tea, Chicken with Water Spinach, and Bakwan; Fried Egg and Mineral Water; and Soy Sauce Chicken and Tea Juice. Additionally, a classification method was used to predict customer satisfaction levels based on the resulting data patterns
Otomasi Cerdas Produksi dan Rantai Pasok Digital Dewi Sari Pinandita; Agung Prayudha Hidayat; Annisa Kartinawati; Sri Indrawati; Suhendi Irawan
Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi Vol 14 No 2 (2026)
Publisher : Program Studi Teknik Industri Universitas Setia Budi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31001/tekinfo.v14i2.2995

Abstract

Transformasi digital dan otomasi cerdas semakin penting bagi manajemen produksi dan rantai pasok. Hal ini karena perusahaan harus merespons volatilitas permintaan, kompleksitas operasi, dan tekanan keberlanjutan. Penelitian ini bertujuan mengkaji perkembangan penerapan kecerdasan buatan, internet of things, smart manufacturing, dan Industry 4.0/5.0 dalam produksi serta rantai pasok melalui systematic literature review yang diperkuat analisis bibliometrik. Data bibliometrik dianalisis menggunakan Bibliometrix/Biblioshiny terhadap 109 dokumen dari 99 sumber publikasi pada periode 2021-2026. Hasil analisis menunjukkan pertumbuhan publikasi yang tinggi dengan annual growth rate 45,41%, melibatkan 359 penulis, 313 kata kunci penulis, 6.142 referensi, dan international co-authorship 31,19%. Peta co-occurrence memperlihatkan bahwa artificial intelligence, supply chain management, industry 4.0, internet of things, decision making, dan smart manufacturing menjadi simpul utama struktur pengetahuan. Thematic map menunjukkan decision making, internet of things, dan smart manufacturing sebagai motor theme, sedangkan artificial intelligence dan supply chain management menjadi basic theme yang relevan tetapi masih membutuhkan konsolidasi konseptual. Temuan ini menegaskan bahwa transformasi digital tidak cukup dipahami sebagai adopsi teknologi, melainkan sebagai sistem keputusan sosio-teknis yang memadukan data, algoritma, manusia, etika, dan tata kelola. Artikel ini berkontribusi dengan menyintesis agenda penelitian yang menyeimbangkan efisiensi teknis, kolaborasi manusia-AI, interpretabilitas, dan keberlanjutan rantai pasok.
Usulan Perbaikan Sistem Antrian menggunakan Software Simulasi Arena pada Pelayanan Poli Gigi Puskesmas Gamping 1 Fana Fitriah; Bayu Jatnika; Nor Alvia Hidayati; Dinar Mahar Ghany; Peri Indrawan; Angga Wira Rizki; Sido Dea Auvia
Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi Vol 14 No 2 (2026)
Publisher : Program Studi Teknik Industri Universitas Setia Budi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31001/tekinfo.v14i2.2643

Abstract

The high volume of queues in public health services directly threatens service quality and patient satisfaction. At the Dental Clinic of Puskesmas Gamping 1, the surge of patients, especially on busy days such as Saturday, causes the ratio of waiting time to service time to increase significantly, indicating serious inefficiencies in the system. The urgency of this research is to design an optimal and sustainable queuing system to break the cycle of long queues and patient complaints. This study aims to analyze, evaluate, and optimize the efficiency of the queuing system of the Dental Clinic of Puskesmas Gamping 1. The research method used is computer-based discrete simulation (Discrete Event Simulation). Queuing data and service time were collected through direct observation and processed using the distribution test. Valid data is then modeled in Arena software. The simulation model was validated and verified to reflect real conditions. Next, two improvement scenarios were developed: (1) adding one registration officer and (2) adding one service officer. The simulation results show that the existing system has an average waiting time of 35.4 minutes. The best improvement scenario was Scenario 2 with the addition of one service officer, which significantly reduced patient waiting time by 60% to 14.2 minutes. In conclusion, Arena simulation is an effective tool for Puskesmas queuing system optimization. Recommendations for the implementation of the best scenario are expected to improve the efficiency and quality of services at the Dental Clinic of Puskesmas Gamping 1.
Pengembangan Model Optimasi Konsumsi Bahan Bakar PLTU terhadap Produksi Energi Listrik pada Sistem Jawa-Bali Muhammad Alif Ihsan; Zara Safira Ramadhani; Wan Habibi Rahman Barus; Nadiya Maharani
Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi Vol 15 No 1 (2026)
Publisher : Program Studi Teknik Industri Universitas Setia Budi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31001/tekinfo.v15i1.2953

Abstract

The current state of Indonesia's power system still predominantly uses coal as fuel. On the other hand, there are demands for cost efficiency and emission reduction. The Java-Bali system, which is a national burden, faces the need for more efficient management of coal-fired power plants, especially when the available capacity must meet existing demand. An approach that can be applied is the allocation of production between PLTU operators based on coal consumption efficiency without adding coal capacity. This study aims to minimize coal consumption at the Java-Bali PLTU by developing an optimization model. Energy production and coal consumption at Indonesia Power and Nusantara Power operators are processed into specific coal consumption (specific fuel consumption/SFC). Indonesia Power's SFC is 613.70 tons/GWh and Nusantara Power's is 571.54 tons/GWh. The model uses linear programming with decision variables for energy allocation E1 and E2, an objective function to minimize Z, energy fulfillment constraints, and capacity limits. This study uses comparisons with D+5% and D+10% scenarios to see if there are any changes in energy use.. The results show that the optimization prioritizes Nusantara Power with energy production optimization at a demand of 7000 GWh with coal consumption of 41752584 tons. The optimization of the allocation of Indonesia Power operators is 41,384.82 GWh and Nusantara Power is 28,615.18. This model can be used as an initial tool for coal-fired power plants to optimize fuel efficiency and analyze operator scenarios. In addition, this model can help operators prioritize units with low SFC at normal loads.
Analisis Pengendalian Kualitas Produk Cushion di PT. X Menggunakan Metode Fuzzy FMEA Revi Apriliyas; Saufik Luthfianto
Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi Vol 13 No 2 (2025)
Publisher : Program Studi Teknik Industri Universitas Setia Budi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31001/tekinfo.v13i2.2420

Abstract

PT. X is one of the companies engaged in the manufacturing industry, producing rubber part components for use in various manufacturing industries. PT. X records a high number of defective products caused by the suboptimal production processes occurring within the company. One of the products produced at PT. X is the Cushion product, which has become one of the products with the highest number of defects and, of course, causes a deficit for PT. ABC. The purpose of this research is to identify the failure risks occurring in the Cushion product, so that improvements can be made to reduce the defective products generated during the production process. The method often used to help identify the causes of product defects is by using the Fuzzy Failure Mode Effect Analysis (Fuzzy FMEA) method. Fuzzy FMEA has advantages compared to the traditional FMEA method, which allows for a combination and result of RPN values that are less accurate. Based on the FRPN calculation results, the highest value was obtained for the type of failure factor of a broken or abnormal machine, then the repair process was carried out using a repair priority scale that corresponds to the order of failure factors with the highest risk level.
Simulasi Sistem Antrian Pelayanan Take Away di Gerai Minuman Teh Putu Wahyou Widiadnyana; I Putu Reno Swambara Lingga; Ahmad Maulana; Chanysia Feychin Romani; Ni Luh Putu Lilis Sinta Setiawati
Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi Vol 13 No 2 (2025)
Publisher : Program Studi Teknik Industri Universitas Setia Budi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31001/tekinfo.v13i2.2520

Abstract

An efficient queuing system plays a crucial role in improving service quality and customer satisfaction. Inefficiencies in the queuing system of food and beverage businesses can lead to long lines and decreased customer satisfaction due to prolonged waiting times for ordering. Therefore, addressing queue inefficiencies requires improvements in queuing rules, facilities, or resources. This study investigates inefficiencies in the take-away service queuing system at a tea beverage outlet in a shopping mall in Bali, which results in long waiting times and customer dissatisfaction, especially during peak hours. The objective of this research is to analyze the existing queuing system, identify key bottlenecks, and propose improvements to enhance service efficiency. The method used is system simulation with ProModel, where data is collected through direct observation and time measurements at various service stages. The simulation results indicate that the bottleneck occurs at the cashier counter, causing the average customer waiting time to reach 1,855 seconds. The outlet is only able to serve 71.2% of the total potential customers within three hours. Adding one more cashier counter successfully increased the number of customers served from 88 to 156 within three hours, reduced the average waiting time to 1,340 seconds, and improved processing capacity to 95.31%. In conclusion, the proposed improvements in this study can significantly enhance the efficiency of the queuing system and customer satisfaction at the tea beverage outlet.
Analisa Kelayakan Investasi Pembangunan Fasilitas Pemanfaatan Alternatif Bahan Baku dan Bahan Bakar di PT. X Bekti Nugrahadi; Supriyanto Wibowo; Agung Widiyanto Fajar Sutrisno; Erna Indriastiningsih
Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi Vol 13 No 2 (2025)
Publisher : Program Studi Teknik Industri Universitas Setia Budi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31001/tekinfo.v13i2.2535

Abstract

Indonesia's manufacturing sector has grown, which affects the amount of waste produced. Waste must be managed by the companies that generate it; if they are unable to do so, the waste may be turned over to a third party. PT. X is a business that works in manufacturing, particularly in the cement sector. PT. X is dedicated to producing fuel, raw materials, and energy sources that are efficient in its production process. In order to meet the company's long-term plan goal of increasing the substitution of energy sources, raw materials, and fuel, facilities for using waste as raw materials and alternative raw materials must be built. The purpose of this study is to obtain the results of a feasibility study on the investment in the construction of these facilities. The data used in this study are primary data in the form of waste potential, company technical data, investment data, operational data and interviews as secondary data. The methods used in this study are Net Present Value (NPV), Payback Period (PP), and Internal Rate Of Return (IRR). The results of this study obtained a payback period value of 5 years 7 months, an NPV of 6,784,925,409 (NPV > 0), and an IRR of 15.85% so that the investment is feasible to continue.

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