Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Jurnal Teknologi dan Manajemen Sistem Industri
Agung Firdausi Ahsan
Universitas Bahaudin Mudhary Madura
Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mechanical Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
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.
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.
Co-Authors Afif Firdaus Heru Prastiyono Nayla Farikha Zahra