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All Journal Jurnal Ilmiah Teknik Industri
Marie, Iveline Anne
Program Studi Teknik Industri, Universitas Trisakti, Indonesia
Industrial & Manufacturing Engineering

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PERBAIKAN KEBIJAKAN PENGENDALIAN PERSEDIAAN JUST IN TIME KOMPONEN PRODUK MAIN FLOOR SIDE LH PADA PT GAYA MOTOR Istiqomah, Bella Suciana; Marie, Iveline Anne
Jurnal Ilmiah Teknik Industri Vol. 14, No. 1, Juni 2015
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

PT . Gaya Motor is a manufacturing company that is engaged in the assembly and production of automotive components incorporated in the group of PT Astra International.Perusahaan implement inventory control system Just In Time.Kanban’s supplier with safety stock of 0.5 days plus a safety stock of 0.5 extra days beyond the kanban. The study was conducted on the material supply products Main Floor Side LH SA - 001 , SA - 002 , SA - 003 , SA - 004 , SA - 005 , SA - 006 , SA - 007 , SA - 008 and SA - 009. Problems faced by the company are the high amount of inventory caused by inaccurate inventory systems and fault current in raw material procurement procedures. The purpose of this study was to evaluate the companys current inventory control system and propose improvements inventory control system that can minimize inventory costs compared to the cost of inventory at the companys current inventory system.Kanban inventory method supplier company currently has a total cost of inventory of Rp 318.861.462,00. Supplier kanban inventory control methods with safety stock kanban 0.1 days has a total cost of inventory of Rp 158.703.378,00. Inventory control methods Two - Bin Replenishment has a total inventory cost of Rp 98.497.214,00. From the results of these calculations, the minimum inventory cost obtained by using the method of inventory Two - Bin Replenishment, and made proposals related to changes in inventory control system.
PERBAIKAN KEBIJAKAN PENGENDALIAN PERSEDIAAN JUST IN TIME KOMPONEN PRODUK MAIN FLOOR SIDE LH PADA PT GAYA MOTOR Istiqomah, Bella Suciana; Marie, Iveline Anne
Jurnal Ilmiah Teknik Industri Vol. 14, No. 1, Juni 2015
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v14i1.625

Abstract

PT . Gaya Motor is a manufacturing company that is engaged in the assembly and production of automotive components incorporated in the group of PT Astra International.Perusahaan implement inventory control system Just In Time.Kanban’s supplier with safety stock of 0.5 days plus a safety stock of 0.5 extra days beyond the kanban. The study was conducted on the material supply products Main Floor Side LH SA - 001 , SA - 002 , SA - 003 , SA - 004 , SA - 005 , SA - 006 , SA - 007 , SA - 008 and SA - 009. Problems faced by the company are the high amount of inventory caused by inaccurate inventory systems and fault current in raw material procurement procedures. The purpose of this study was to evaluate the companys current inventory control system and propose improvements inventory control system that can minimize inventory costs compared to the cost of inventory at the companys current inventory system.Kanban inventory method supplier company currently has a total cost of inventory of Rp 318.861.462,00. Supplier kanban inventory control methods with safety stock kanban 0.1 days has a total cost of inventory of Rp 158.703.378,00. Inventory control methods Two - Bin Replenishment has a total inventory cost of Rp 98.497.214,00. From the results of these calculations, the minimum inventory cost obtained by using the method of inventory Two - Bin Replenishment, and made proposals related to changes in inventory control system.
Perbandingan Performansi Teknik Klasifikasi Breakdown Mesin pada Proses Produksi Pembuatan Battery Mobil Marie, Iveline Anne; Hakim, Lukmanul; Sugiarto, Dedy; Septiani, Winnie
Jurnal Ilmiah Teknik Industri Vol. 18, No. 1, Juni 2019
Publisher : Muhammadiyah University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v18i1.7232

Abstract

Data mining is useful in finding interesting patterns of hidden information in a database with specified algorithms. Management of uncertainty in the automotive industry supply chain, with case data at PT QQQ that produce car batteries, classification techniques are used to manage uncertainty in the case of engine breakdown. Based on the utilization of classification techniques, performance comparison analysis was carried out from several methods, namely Decision Tree, Bagging, Boosting and Random Forest. The research data is divided into testing data (75%) and training data (25%). This study uses Software R for analysis needs. The need for testing the goodness of the model uses package (caret) help to see the value of accuracy, sensitivity and specificity. The analysis shows that the Random Forest and Bagging method is superior compared to the Decision Tree and Boosting methods based on accuracy criteria, while the sensitivity criteria, Bagging and Boosting methods are superior to Random Forest and DecisionTree. The lowest sensitivity value is owned by the Decision Tree Method, which indicates that the ability of the method is weak in predicting very few classes. 
Disruptions Control on Precast Concrete Supply Chain in Construction Projects Marie, Iveline Anne; Nilla, N.; Azmi, Nora; Suprana, Yayang Ade
Jurnal Ilmiah Teknik Industri Vol. 19, No. 02, December 2020
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v19i2.11791

Abstract

Agility amid uncertain circumstances is key to all-across sustainable industries, and the construction industry depends heavily on projects as potent drivers to their operational activities regardless of projects’ hardwired constraints—shipment, resistance to risks— to affect Key Performance Indicator (KPI). PT ABX as one of Indonesian precast-concrete manufactures is the object of this research aiming to find precautionary strategies for controlling disruptions to concrete supply chain in construction projects. It takes into account such supply-chain disruptions, and therefore, the two-layered model of House of Risk (HOR) to subsume risks identification and risks control is applicable for minimizing possible disruptions. It finds risk events some of which are classified as critical risk events and preventive actions against risks. The findings contribute to working framework for managers responsible for applying effective strategies for preventing such disruptions. 
Co-Authors A.A. Ketut Agung Cahyawan W Adianto Adianto Amal Witonohadi Bella Suciana Istiqomah, Bella Suciana Cindy Claudia, Cindy Dedy Sugiarto Dorina Hetharia Emelia Sari Nilla, N. Nora Azmi PUDJI ASTUTI Suprana, Yayang Ade Triwulandari SD, Triwulandari Winnie Septiani