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All Journal R.E.M (Rekyasa Energi Manufaktur) Jurnal Turbo : Jurnal Program Studi Teknik Mesin JURNAL INTEGRASI JTERA (Jurnal Teknologi Rekayasa) Jurnal Bakti Masyarakat Indonesia Dinamis Jurnal Industri dan Inovasi (INVASI) Journal of Sustainable Economics Jurnal Polimesin Serambi Engineering Ulil Albab
Elvi Armadani
Program Studi Teknik Industri, Institut Teknologi Sumatera, Lampung
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Transportation Other

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Journal : Serambi Engineering

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Improving Inventory Control in the Electrical Sector Using Forecasting Models: A Comparative Study of ARIMA, Exponential Smoothing, Croston, and SBA Elvi Armadani; Daniel Jeffry; Muhammad As’adi; Yulizar Widiatama
Jurnal Serambi Engineering Vol. 10 No. 2 (2025): April 2025
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

PT. ABC Tarahan Sector is a State-Owned Enterprise that is engaged in services to distribute electricity to the general public. PT. ABC Tarahan Sector distributes about 80% of total electricity consumption in Lampung and 20% is distributed through ABC Palembang. Material planning is one of the most important factors to meet the production targets produced every year. The purpose of this study is to determine the method with the smallest error value based on the time series data available in the company. The data used in this study is the company's material demand data in 2018-2023. The level of accuracy in the forecasting value is determined by looking at the smallest absolute error value in each method. The forecasting results will then be measured based on the value of the service level, inventory level, and inventory cost budget. The existing condition of the company produces an error value of 7.32118, the amount of material is 17,195, the service level is 95.06%, and the warehouse cost is Rp. 36,012,143,757.00. The researcher forecasts using the Arima, Exponential Smoothing, Croston, and Syntetos Boylan Approximation methods. The results of the data analysis resulted in a decrease in the error value of 31.3%, a decrease in the amount of material by 22.38%, an increase in service levels to 95.33%, and a warehouse cost savings of Rp. 182,068,361.00.
Understanding Material Allowance as a Systemic Issue in Garment Manufacturing: An Activity-on-Arrow Case Study Elvi Armadani; Ragil Alghifari Sendin; Chindy Elsanna Revadi; Arieviana Ayu Laksmi; Alek Topan Lubis; Hilmana Radhia Putera
Jurnal Serambi Engineering Vol. 11 No. 1 (2026): Januari 2026
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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The garment manufacturing industry is required to maintain high production efficiency while meeting strict buyer specifications, particularly in make-to-order export-oriented operations. One recurring challenge in garment production is material allowance, which refers to excess material usage beyond planned requirements and may increase production costs while reducing resource efficiency. This study aims to analyze production business processes and identify factors contributing to material allowance in the manufacturing of Tommy Hilfiger products at PT XYZ, an export-oriented garment company in Indonesia. This research adopts a descriptive qualitative approach by applying the Activity-on-Arrow (AOA) method to map activity sequences and interdepartmental relationships across the production workflow. Primary data were collected through direct observation and semi-structured interviews, while secondary data were obtained from internal company documents and material usage records. Quantitative analysis of raw material consumption was conducted across three production seasons—Fall 2021, Pre-Spring 2022, and Spring 2022. A fishbone diagram was used to analyze the root causes of material allowance. The results show that material allowance consistently occurred at approximately 2% across all observed production seasons. AOA-based analysis identifies cutting and sewing processes as critical stages where rework and quality deviations frequently arise. Human-related factors and method-related issues were found to be the primary contributors to material allowance. These findings highlight the importance of improving process coordination, quality control, and operator management to reduce material allowance and enhance production efficiency.
Co-Authors Abdillah, Zaki Adhitama, Bima Rakha Aldi Raditya Adriansyah Alek Topan Lubis Arieviana Ayu Laksmi Chindy Elsanna Revadi Daniel Jeffry Deva Ihsan Khoirunas Dian Fajarika, Dian Fathin Muhammad Mardhudhu Fitri Wahyuni Fitri Wahyuni Hersa Dwi Yanuarso Hilmana Radhia Putera James Julian James Julian Juniwati Juniwati Lumbantoruan, Regina Natalindah M Zaky Hadi Madhudhu, Fathin Muhammad Mahdhudhu, Fathin Muhammad Muhammad As’adi Nisa, Rasya Aulia Nathania Purba, Riki Hendra Ragil Alghifari Sendin Ramadhani, Rifqi Revadi, Chindy E Rizqi Wahyudi Siregar, Lina Sari Siswanto, Saphira Anggraita Situmorang, Riky Stepanus Tarigan, Andre Otniel Yulizar Widiatama