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Jurnal Teknologi dan Manajemen Sistem Industri
Published by Universitas Bojonegoro
ISSN : -     EISSN : 29648122     DOI : -
Core Subject : Science, Engineering,
Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mechanical Engineering
Jurnal Teknologi dan Manajemen Sistem Industri is an open access and peer-reviewed scientific journal published twice a year (March and September). It accepts articles from original research, case study articles, and scholarly review articles. This journal was published by the Industrial Engineering Study Program, Faculty of Engineering, University of Bojonegoro in March 2022 - now. The main topics in this journal are Management Science and Operational Research, Distribution Management and Logistics, Supply Chain Management, Business and management (Performance Management, Strategic Management, Human Resource Management, Marketing Management), Decision Science in business and management, and Halal Industry (Halal Food, Halal Logistics, Halal Marketing, Halal Packaging, Halal Financing, Halal Hospitality Services, and Business and Management from an Islamic/Muslim Perspective), Lean Manufacturing, Operations Improvement and Productivity, Innovation Management in Operations, Industrial System Technologies, Industrial System Management Product Design and Development, Operations in service industries, Quality Management, Total Productive Maintenance, Human Factors Engineering.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 45 Documents
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Pemeliharaan Mesin C3406 dengan Metode Total Productive Maintenance (TPM) di PT. Tiga Musim Mas Jaya: Aan Putra Utama, Rizky Stighfarrinata, Enik Sulistyowati Aan Putra; Rizky Stighfarrinata; Enik Sulistyowati
Jurnal Teknologi dan Manajemen Sistem Industri Vol. 4 No. 1 (2025): Jurnal Teknologi dan Manajemen Sistem Industri (JTMSI) - MARET
Publisher : Universitas Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56071/jtmsi.v4i1.1735

Abstract

This research aims to analyze the implementation of Total Productive Maintenance (TPM) method on Caterpillar 3406 machine at PT. Tiga Musim Mas Jaya to improve the effectiveness and reliability of production machines. The research methods used include field observation, interviews, and analysis of machine operational data such as operation time, downtime, production quantity, and product quality. Machine effectiveness is measured using Overall Equipment Effectiveness (OEE indicator which consists of availability, performance, and quality. The results showed availability value of 96.15%, performance of 95.00%, and quality of 98.58%, thus obtained OEE value of 90.04% which is categorized as very good according to Japan Institute of Plant Maintenance standard (?85%). The implementation of TPM is proven to reduce downtime, increase machine reliability, and support the achievement of production targets. Therefore, TPM is recommended as a sustainable maintenance strategy to improve company productivity.
Analisis Perawatan Mesin Caterpillar 3412 Menggunakan Reliability Centered Maintenance (RCM): Afif Firdaus, Agung Firdausi Ahsan Afif Firdaus; Agung Firdausi Ahsan
Jurnal Teknologi dan Manajemen Sistem Industri Vol. 4 No. 1 (2025): Jurnal Teknologi dan Manajemen Sistem Industri (JTMSI) - MARET
Publisher : Universitas Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56071/jtmsi.v4i1.1736

Abstract

This study analyzes the reliability of the Caterpillar 3412 engine used as the main drive for drilling units at PT. XYZ by applying the Reliability Centered Maintenance (RCM) method. The data include operating time, downtime, and maintenance records collected over a six-month period. The analysis stages consist of identifying Maintenance Significant Items (MSI), conducting Failure Mode and Effect Analysis (FMEA), and applying Logic Tree Analysis (LTA). The results indicate that the oil pump, water pump, and radiator are critical components with the highest MSI value of 2.60. Based on FMEA, the oil pump has the highest Risk Priority Number (RPN) of 252, followed by the water pump and radiator. The engine reliability value reaches 0.981, while the Inherent Availability exceeds 90%, indicating high operational readiness. The application of RCM effectively improves engine reliability and operational efficiency.
Analisis Perawatan Pompa Boster PP 900 menggunakan Metode Reability Centered Maintenance (RCM) di PT. XYZ: M. Lathif Asadulloh, Faisal Ashari, Anita Hakim Nasution M Lathif Asadulloh; Faisal Ashari; Anita Hakim Nasution
Jurnal Teknologi dan Manajemen Sistem Industri Vol. 4 No. 1 (2025): Jurnal Teknologi dan Manajemen Sistem Industri (JTMSI) - MARET
Publisher : Universitas Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56071/jtmsi.v4i1.1746

Abstract

Penelitian ini bertujuan meningkatkan keandalan dan efisiensi operasional pompa booster PP- 900 di PT. XYZ melalui penerapan metode Reliability Centered Maintenance (RCM). Metode ini digunakan untuk merancang sistem pemeliharaan yang berfokus pada fungsi dan risiko kegagalan setiap komponen. Analisis dilakukan menggunakan data data historis kerusakan dan downtime tahun 2023 untuk mengidentifikasi komponen kritis dengan Failure Mode and Effect Analysis dan Logic Tree Analysis. Distribusi waktu kerusakan dan perbaikan dianalisis menggunakan model distribusi Weibull guna memperoleh parameter keandalan, seperti MTBF, MTTR, reliability dan availability. Hasil menunjukkan bahwa bearing merupakan komponen paling kritis dengan tingkat kendala terendah (R = 0,59) dan MTBF 950,63 jam, sedangkan shaft dan motor penggerak memiliki kendala tertinggi (R = 0,89) dengan MTBF 4.277,85 jam. Berdasarkan hasil tersebut, disusun jadwal perawatan preventif dengan interval optimal untuk meminimalkan kegagalan mendadak dan downtime. Penerapan RCM terbukti efektif meningkatkan keandalan sistem pompa dan mendukung keberlanjutan operasional.
Penerapan Periodic Inspection terhadap Preventive Maitenance Pada Unit C15 PT. Tiga Musim Mas Jaya Sektor Migas: Indika Bayu Kurniansyah, Rizky Stighfarrinata Indika Bayu Kurniansyah; Rizky Stighfarrinata
Jurnal Teknologi dan Manajemen Sistem Industri Vol. 4 No. 1 (2025): Jurnal Teknologi dan Manajemen Sistem Industri (JTMSI) - MARET
Publisher : Universitas Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56071/jtmsi.v4i1.1749

Abstract

This study was conducted at PT. Tiga Musim Mas Jaya, an oil and gas drilling service company, aiming to evaluate the implementation of Periodic Inspection (PI) in the preventive maintenance system of Unit C15. Data were collected through field observations, interviews with field supervisors, and analysis of scheduled and unscheduled breakdown records over a six-month observation period. The results show that the implementation of Periodic Inspection significantly improved maintenance performance, with a Physical Availability value of 98.75%, Mean Time Between Failure (MTBF) of 144 hours, and Mean Time To Repair (MTTR) of 1.07 hours. In addition, PI Achievement and PI Accuracy both reached 100%, indicating consistent and timely inspection execution. These findings demonstrate that Periodic Inspection as part of preventive maintenance effectively enhances equipment reliability, operational readiness, and maintenance efficiency in the oil and gas sector
Peramalan Jumlah Kunjungan Pengguna Pelayanan Statistik Terpadu menggunakan Metode Time Series di Badan Pusat Statistik: Nayla Farikha Zahra, Heru Prastiyono, Agung Firdausi Ahsan Nayla Farikha Zahra; Heru Prastiyono; Agung Firdausi Ahsan
Jurnal Teknologi dan Manajemen Sistem Industri Vol. 4 No. 1 (2025): Jurnal Teknologi dan Manajemen Sistem Industri (JTMSI) - MARET
Publisher : Universitas Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56071/jtmsi.v4i1.2078

Abstract

This study addresses the forecasting of visitor numbers to the Pelayanan Statistik Terpadu (PST) unit at the Badan Pusat Statoistic (BPS) Bojonegoro office using a time series approach. Forecasting visitor volume is essential for supporting service capacity planning, resource allocation, and enhancing the operational efficiency of data-driven public services. The study compares three forecasting methods—Seasonal Autoregressive Integrated Moving Average (SARIMA), Holt-Winters Exponential Smoothing, and Prophet—using monthly visitor data from January 2020 to May 2025. The dataset was divided into a training set (January 2020–December 2024) and a test set (January–June 2025). Model evaluation was conducted using R², Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE) metrics. The results indicate that the Prophet model delivered the best performance, achieving an RMSE of 1.44, MAE of 1.34, and MAPE of 0.91—outperforming both Holt-Winters and SARIMA. Prophet's superior performance is attributed to its ability to simultaneously model long-term downward trends and annual seasonal patterns. The findings demonstrate that an adaptive, time series-based forecasting approach can support data-driven decision-making for regional public statistical services.

Page 5 of 5 | Total Record : 45

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