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All Journal Journal of Industrial and Engineering System JOURNAL SCIENTIFIC OF MANDALIKA (JSM) Jurnal Teknologi dan Manajemen Industri Terapan Jurnal Riset Rumpun Ilmu Teknik (JURRITEK)
Fibi Eko Putra
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Transportation Other

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Journal : JOURNAL SCIENTIFIC OF MANDALIKA (JSM)

 1 
Optimasi Manajemen Keterlambatan Pengadaan Komponen Mengunakan Root Cause Analysis di Perusahaan Manufaktur Sukhron Makhmudah; Fibi Eko Putra; Puput Rahmawati
Journal Scientific of Mandalika (JSM) e-ISSN 2745-5955 | p-ISSN 2809-0543 Vol. 6 No. 9 (2025)
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/10.36312/vol6iss9pp3642-3649

Abstract

This study aims to analyze and optimize the management of component procurement delays in a manufacturing company, using the Root Cause Analysis (RCA) approach. The research was conducted on procurement delay data for the period March to July 2024, which recorded 226 cases, of which 167 cases were further analyzed based on the six main sub-components that had the highest delay rates. The Fishbone Diagram and 5 Why's methods, as part of the RCA, were used to identify the root causes of the delays, including lack of internal coordination, unintegrated information systems, and the characteristics of suppliers who are not ready to stock (make-to-order). The results of the analysis show that improvement strategies can focus on developing risk-based procurement SOPs, periodically evaluating supplier performance, and developing an integrated information system. Implementation of these proposals is believed to significantly reduce the frequency of delays and improve procurement efficiency. The findings are expected to be a reference in improving supply chain management in manufacturing companies with similar characteristics
Analisis Kerusakan Wire Rope (Tali Baja) Pada Hoist Crane 5 Ton Menggunakan Metode Plan Do Check Action (PDCA) Studi Kasus Pada Perusahaan Manufaktur Anang Wahyudi; Fibi Eko Putra; Heru Darmawan
Journal Scientific of Mandalika (JSM) e-ISSN 2745-5955 | p-ISSN 2809-0543 Vol. 6 No. 9 (2025)
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/10.36312/vol6iss9pp3798-3712

Abstract

Along with the rapid development of the era, manufacturing companies are facing more challenges and demands to increase efficiency in the production process. Regular maintenance of production facilities is a major factor in supporting company productivity. One of the important equipment in supporting large-scale manufacturing is the use of heavy equipment, such as hoist cranes, to facilitate the process of lifting and moving materials. However, one of the problems that often occurs is damage to important components, such as wire ropes, which can hamper operations and cause significant downtime. This study aims to analyze the causes of wire rope damage to a 5-ton hoist crane in a manufacturing company. Through the Total Productive Maintenance approach carried out using the Fishbone Diagram and 5W + 1H methods, the root cause of the damage that occurs can be identified. This study found that wire rope damage was caused by several factors, namely there were gaps in the eroded panel walls, frequent friction between the wire rope and the panel wall, no safety when the wire rope was piled up, and there were no clear work instructions for operating the hoist crane. The results of the improvement implementation showed significant improvements. The downtime of the hoist crane unit was successfully reduced from 596 hours 50 minutes in February 2023 to only 12 hours 55 minutes in March 2023, and further to only 2 hours 30 minutes in April 2023. In addition, the improvements also succeeded in increasing the Physical Availability of the hoist crane, from 69.3% in February 2023 to 96.4% in March 2023, and 98.8% in April 2023
Analisis Risiko Kecelakaan Kerja Dengan Menggunakan Metode Hazop Pada Industri Makanan Fathoni Thohir; Fibi Eko Putra; Tri Ngudi Wiyatno
Journal Scientific of Mandalika (JSM) e-ISSN 2745-5955 | p-ISSN 2809-0543 Vol. 6 No. 10 (2025)
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/10.36312/vol6iss10pp3977-3985

Abstract

The food industry, particularly the bakery sector, has shown significant growth in Indonesia but still faces various occupational health and safety (OHS) risks, especially during the baking process involving high temperatures and heavy equipment. This study aims to analyze work accident risks in the bread baking process using the Hazard and Operability Study (HAZOP) method. HAZOP is applied to identify potential deviations from normal operational conditions that may lead to workplace accidents. Data were collected through direct observation and literature review, then analyzed using a risk matrix based on Likelihood and Severity levels. The results indicate that the highest risk originates from oven temperature deviations, which may cause burns, heat stress, and fire hazards. The risk levels are categorized as "High Risk", requiring control measures such as regular maintenance, worker training, and temperature alarm systems. The study recommends the implementation of an integrated OHS management system in bakery industries to minimize risks in the baking process
Pendekatan Berbasis Skenario untuk Pengelolaan Persediaan Menggunakan Simulasi Monte Carlo Katarina Muraata Herin; Fibi Eko Putra; Retno Fitri Astuti
Journal Scientific of Mandalika (JSM) e-ISSN 2745-5955 | p-ISSN 2809-0543 Vol. 7 No. 1 (2026)
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/10.36312/vol7iss1pp258-264

Abstract

Importers and distributors of swimming pool chemicals face significant inventory challenges due to highly volatile and unpredictable demand. This study develops a responsive inventory management strategy by integrating multiple regression analysis with Monte Carlo simulation. Monthly sales data (January-December 2024) for three main products (TCCA Powder, Granular, and Tablet) were analyzed. Descriptive statistics revealed extreme demand volatility, with standard deviations exceeding means for all products. While regression models identified significant influences of previous demand, seasonality, and promotions (R² = 0.58-0.78), their forecasting accuracy was poor, as indicated by high Mean Absolute Percentage Error values (59.40%-147.86%). This limitation justified the shift to a probabilistic approach. Monte Carlo simulation using empirical distributions generated wide demand ranges (e.g., 250-22,000 kg for TCCA Granular), enabling the development of scenario-based inventory policies. The study concludes that the integrated regression-simulation framework provides a more realistic foundation for inventory decision-making than deterministic methods alone, particularly under high uncertainty. The primary contribution lies in positioning Monte Carlo simulation primarily as a decision-support tool rather than a forecasting technique, offering companies a practical method to establish dynamic safety stock levels and improve market responsiveness
Co-Authors Arya Maulana Hendri Daniel Happy Putra Dwi Irwati Fathoni Thohir Heru Darmawan Katarina Muraata Herin Muhammad Irfan Jaelani Puput Rahmawati Putri Nika Andini Retno Fitri Astuti Saddam Fauzan Akbar Sella Arista Sukhron Makhmudah Tio Ramadan Tri Ngudi Wiyatno Triana Ambarwati Widyantoro, Murwan Yayan Saputra