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All Journal Jurnal Teknik Industri Reaktor IPTEK Journal of Proceedings Series Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Jurnal STT Yuppentek International Journal of Economics, Business and Accounting Research (IJEBAR) BIP'S : Jurnal Bisnis Perspektif Jurnal Sains dan Aplikasi Keilmuan Teknik Industri Integrasi: Jurnal Ilmiah Teknik Industri
Gembong Baskoro
Swiss German University, Tangerang
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Transportation

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Risk Mitigation of Inventory Discrepancies in Spare Parts Warehouse Using RCA–FMEA–QFD Approach: A Case Study at PT XYZ Ferdira, Novri Oekma; Santoso, Filiana; Baskoro, Gembong
Integrasi: Jurnal Ilmiah Teknik Industri Vol 10 No 2 (2025): Integrasi : Jurnal Ilmiah Teknik Industri
Publisher : Program Studi Teknik Industri, Fakultas Teknik, Universitas Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32502/integrasi.v10i2.1142

Abstract

This study addressed the issue of inventory discrepancies in the spare parts warehouse of PT XYZ, which previously recorded a discrepancy rate of 0.94% in 2024. The objective was to design and evaluate a mitigation strategy to reduce the discrepancy rate to 0.5%. An integrated approach combining Root Cause Analysis (RCA), Failure Mode and Effect Analysis (FMEA), and Quality Function Deployment (QFD) was applied. RCA identified human error, inaccurate recording, and weak monitoring as the dominant causes of discrepancies. FMEA results showed that stock visibility, accuracy of receiving, and shipping errors were the most critical risks. QFD analysis further revealed that three technical requirements—real-time stock visibility, 100% receiving accuracy, and the penalty system—contributed most significantly to discrepancy reduction. The implementation of these requirements reduced the discrepancy rate from 0.94% to 0.5% between January 2024 and May 2025. Pearson correlation analysis confirmed that these factors had strong positive relationships with customer requirements and discrepancy reduction, with correlation coefficients above 0.7. These findings demonstrated that the integrated RCA–FMEA–QFD approach not only reduced discrepancies but also improved process reliability and operational performance in warehouse management.
Real-Time Temperature Monitoring VHMS Dashboard Development to Reduce Component Unscheduled Breakdown Nur, M. Hidayatullah; Hendriana, Dena; Baskoro, Gembong
BIP's JURNAL BISNIS PERSPEKTIF Vol. 17 No. 1 (2025): Januari
Publisher : Universitas Katolik Darma Cendika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37477/bip.v17i1.697

Abstract

The coal mining industry relies on heavy equipment such as excavators and bulldozers and their efficiencies are critical for the productivity. This paper addresses the issue of unscheduled breakdowns due to high operational temperatures which impacts productivity, equipment availability and maintenance costs. The existing Vehicle Health Monitoring System (VHMS) from Komatsu Original Manufacturing lacks of real-time data for coolant temperature. The data recording is only every 20 hours and data reporting to the monitoring system is transferred daily. This lack of data is leading to unable for identifying the causes of problems. This study proposes a real-time temperature monitoring dashboard for the VHMS to track and manage Komatsu equipment temperature limits and to upgrade the existing system to record temperature data in every second instead of every 20 hours. This fine data collection provides enough information for a comprehensive analysis of machine conditions. This allows for quick identification of abnormal temperature trends, leading to timely maintenance and failures prevention. The new dashboard system provides immediate access to detailed temperature data, facilitating prompt decision-making in maintenance process. It also involves setting new temperature limits to prevent overheating and reduce unscheduled component breakdown from 25% in 2019 to 0% in 2023 and 2024. Implementing a real-time temperature monitoring dashboard is expected to improve equipment availability, reduce breakdowns, optimize maintenance schedules and lower operational costs in the coal mining industry.
Innovation to Improve Critical Thinking Skills in the Generation Z using Peeragogy as a Learning Approach and Artificial Intelligence (AI) as a Tool Baskoro, Gembong; Mariza, Ita; Sutapa, I Nyoman
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 2 (2023): December 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.25.2.121-130

Abstract

The current generation, known as generation Z (Gen Z), is a generation that lives and is familiar with information technology in everyday life, including but not limited to learning purposes. Gen Z is characterized by teamwork in cyberspace and solving problems. Gen Z can also adopt artificial intelligence (AI) technology as their learning tool. Meanwhile, Gen Z faces the challenge of acquiring 21st-century skills requiring higher-order thinking (HOTS). This paper will focus on learning skills, especially critical thinking (CT). For this reason, it is essential to improve the competency of CT skills in Gen Z by using a model that combines the 7E learning cycle with peeragogy learning approach and adopting the latest AI applications as a tool. This model will contribute to the theoretical and practical use of AI apps for education, particularly the role of correct utilization of AI. Additionally, it can be misused to improve learning skills, especially CT skills. The results carried out in class show AI's effectiveness in improving CT skills for Gen Z, especially the role of AI in the back-end learning process, namely to verify and validate understanding. This paper suggests that AI apps should be controlled if used in the front-end learning process, especially at the exploration stage, to improve CT skills. Without controlling the AI apps, they can reduce learners' ability to explore a topic according to their creativity and criticality.
Strategic Ambidexterity and Organizational Performance of Manufacturing Companies in Jakarta, Indonesia Mariza, Ita; Baskoro, Gembong
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 26 No. 2 (2024): December 2024
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.26.2.181-192

Abstract

This study identifies factors that improve competitive strategies in manufacturing companies, known as strategic ambidexterity (SA), and their impact on organizational performance to improve production systems as a source of competitive advantage. This survey study was conducted through employee perceptions of SA, by exploiting and exploring firm capacity and capability. Data were collected through a survey directly to the respondents involving 200 employees of manufacturing companies in Jakarta, Indonesia. The method used was a field survey, and the data were analyzed using Structural Equation Modeling (SEM) with Linear Structural Relations (LISREL 9.2). The findings are exploiting organizational capacity has significant effect on SA, exploring organizational capability has a significant effect on SA, and SA has a significant effect on organizational performance. The limitations of this research are it is characterized by cross-sectional and perceptual analysis. The location of all companies involved is only in Jakarta. The managerial implications are that optimal firm performance can be achieved by implementing SA through exploiting organizational capacity to maximize competitiveness in existing markets by optimizing the service quality to customer, improving processes to respond to market feedback, and understanding market needs, and exploring capability to take opportunities in new markets through product innovation, discovering and integrating new technologies, maintaining customers relationships, being flexible and adaptive to the market needs.
Co-Authors Agus Hari Hadi Dena Hendriana Ferdira, Novri Oekma Filiana Santoso Hendriana, Dena Henry Nasution I Nyoman Sutapa Mariza, Ita Mochamad Hamdan Aziz Muhamad Lutfi Rachmat Nur, M. Hidayatullah Sarwono, Edhie Subekti, Galih Akup Yohanes Acep Nanang Kardana