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All Journal Journal of Engineering and Management in Industrial System Journal of Industrial Engineering Management Jurnal Sistem Teknik Industri Jurnal Darma Agung Unri Conference Series: Community Engagement Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Logistic and Operation Management Research Advance Sustainable Science, Engineering and Technology (ASSET)
Panjaitan, Nismah
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Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Social Sciences

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ANALYSIS OF CAUSES OF DEFECTS AND REPAIR SOLUTIONS ON JERRY CAN PRODUCTS USING ROOT CAUSE ANALYSIS (RCA) AND CAUSE EFFECT DIAGRAMS Panjaitan, Nismah; Ramadhana, Fauzi; Davin, Christopher
Journal of Industrial Engineering Management Vol 9, No 1 (2024): Journal of Industrial Engineering and Management Vol 9 No 1
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v9i1.1194

Abstract

PT. ABC is a enterprise engaged inside the manufacturing of price-delivered palm oil based totally merchandise together with ghee and margarine. PT. ABC produces packaging in the form of a jerrycan. In producing jerrycans there are usually faulty products found at the manufacturing ground of PT. ABC. Jerrycan products that do not healthy the characteristics in which elements consisting of materials or materials motive the product to be faulty. If this circumstance maintains, it'll purpose losses for the agency. This examine goals to identify the causes and provide guidelines for best improvement the use of the foundation reason analysis technique and purpose effect diagrams by way of being attentive to components, particularly fabric, human, system and approach. and provide enhancements using the 5W+1H technique and answer tree diagram. based on the root of the trouble discovered, there are three defects, specifically blackspot, broken, and inappropriate colour.
The Use of Machine Learning Algorithms for Supply Chain Optimization at PT. XYZ Manik, Diomen Syahputra; Matondang, Nazaruddin; Panjaitan, Nismah
Jurnal Sistem Teknik Industri Vol. 28 No. 1 (2026): JSTI Volume 28 Number 1 January 2026
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v28i1.22207

Abstract

Increased demand fluctuations pose a major challenge in supply chain management, particularly in the fast-food beverage industry like PT. XYZ. This research aims to build and evaluate a demand forecasting model based on machine learning, considering multivariate variables such as product price, seasonal trends, weather, per capita income, population, and historical sales data. The three algorithms used are Random Forest Regressor, Gradient Boosting Regressor, and Prophet Time Series Model. This research method employs a quantitative approach with descriptive-predictive analysis based on time-series data. Model evaluation was conducted using MAE, MSE, RMSE, and MAPE metrics. The research results indicate that Prophet has the highest accuracy (MAPE: 2.33%) and excels in capturing seasonal trends, while Random Forest ranks second (MAPE: 2.47%) with an advantage in comprehensively handling multivariate variables. Gradient Boosting yields the lowest accuracy (MAPE: 2.70%). The conclusion of this study recommends the use of Prophet for short-term seasonal-based predictions, while Random Forest is more suitable for medium to long-term strategic planning. The combination of the two has the potential to become an accurate and adaptive hybrid approach for optimizing the demand forecasting system at PT. XYZ.
Co-Authors A. Rahim Matondang Ameilia Zuliyanti Siregar Anizar Davin, Christopher Faris, Muhammad Zaky Lubis, Juni Arta Maherza, Wahyudi Manik, Diomen Syahputra Maulana, Muhammad Ikhsan Nazaruddin M Olievia Prabandini Mulyana, Olievia Prabandini Putra, Ahmad Mahatanzie Ramadhana, Fauzi Rosnani Ginting Silitonga, Niken Kristin Tulus Tulus Yazid, Shishilya yeni absah Yulianto , Muhammad Teguh Yuman, Syafiq Alhadi Yunia Dwie Nurchayanie Zulkifli Nasution