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Optimization of Scheduling using Heuristic Approach with Campbell Dudek Smith Algorithm (CDS) at PT OSIN Raihan Afif Makarim; Apid Hapid Maksum; Muhamad Taufiq Rachmat
Jurnal Rekayasa Sistem & Industri Vol 10 No 01 (2023): Jurnal Rekayasa Sistem & Industri
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v10i01.583

PT OSIN is a company that runs a business in the automotive manufacturing sector. The company applies aflow shop production model whose production pattern is line to line in series using the First Come FirstServe production scheduling method. The problem with the FCFS method which is considered to have notreached the optimal enough in meeting uncertain product demands, causing delays in the productionschedule, which has an impact on the flow or distribution of goods and can lead to increased production inactivities. The proposed improvement method is made to optimize production scheduling, focusing onminimizing the makespan values in the scheduling system's order. This study uses a heuristic approach tothe Campbell, Dudek, Smith (CDS) algorithm in overcoming scheduling problems. The CDS method is aproduction scheduling heuristic method developed from the Johnson algorithm in obtaining severalsequences of 6 types of work processes at the work center which aims to analyze the total time for eachprocessing process (makespan). Comparing the two methods using the FCFS method by sorting thescheduling according to the order of the initial order time produces a total value of 2,408.75 minutes, whileusing the CDS algorithm which uses 5 iterations produces a minor matter of 881.3 minutes. Comparing theresults obtained by applying the scheduling system with the CDS method can be used as a proposedimprovement in overcoming the delay in delivery and the production scheduling process.

ANALISIS KINERJA KARYAWAN DENGAN MENGGUNAKAN METODE REGRESI LINIER BERGANDA DI PT. RST Erfa Inayah; Apid Hapid Maksum
INTECOMS: Journal of Information Technology and Computer Science Vol. 9 No. 3 (2026): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/atjqj155

This study examines the extent to which five variables motivation, work discipline, operational environment conditions, training quality, and compensation schemes influence employee performance at PT RST. The research approach uses a quantitative methodology with a questionnaire instrument, which was distributed to 39 staff in the Stamping Operation Department. Data analysis was conducted through multiple linear regression to measure the influence of each variable and their collective contribution to employee performance. The results of the simultaneous analysis show that the five factors together have a very high explanatory power for performance variations, evidenced by a coefficient of determination (R²) value of 0.994. Partially, each factor motivation, discipline, work environment, training, and compensation shows a positive and significant influence on employee productivity. These findings emphasize the importance of designing data-oriented human resource management policies, where increasing motivation, enforcing discipline, improving work facilities, organizing regular training, and a fair and transparent compensation system are the main pillars in efforts to improve organizational efficiency and output. Keywords : Work Discipline, Work Environment, Employee Motivation, Employee Training, Compensation System

Perancangan Minimum-Maximum Level Stok Material Consumable APD Berdasarkan Data Historis di PT XYZ Naufal Rabbani Sumitra; Apid Hapid Maksum; Billy Nugraha
Jurnal Sains dan Teknologi: Jurnal Keilmuan dan Aplikasi Teknologi Industri Vol. 25 No. 1 (2025): Regular Issue
Publisher : SEKOLAH TINGGI TEKNOLOGI INDUSTRI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36275/gajjxn73

Pengelolaan persediaan material consumable seperti Alat Pelindung Diri (APD) memiliki peran penting dalam mendukung kelancaran proses produksi, terutama dalam industri otomotif yang memiliki kebutuhan operasional tinggi. Penelitian ini bertujuan untuk merancang standar Level Stock material APD dengan pendekatan kuantitatif menggunakan metode minimum-maximum stock level. Pendekatan ini mengacu pada data penggunaan aktual, kedatangan barang, serta lead time pengiriman. Lima Item APD dipilih sebagai sampel utama untuk dianalisis, dan hasilnya dijadikan dasar dalam penyusunan standar Level Stock yang optimal. Perhitungan meliputi kebutuhan harian rata-rata, fluktuasi pemakaian dan kedatangan, buffer stock, serta safety stock. Hasil simulasi menunjukkan bahwa kelima Item berada dalam batas Level Stock yang ditentukan tanpa mengalami stockout atau overstock. Perancangan standar Level Stock baru berdasarkan data historis dan simulasi menghasilkan efisiensi biaya penyimpanan dengan penghematan maksimal sebesar Rp22.484.013. Dengan demikian, penerapan metode minimum-maximum stock level berbasis data historis terbukti efektif dalam meningkatkan akurasi pengendalian persediaan, mengurangi potensi pemborosan, serta meningkatkan efisiensi operasional di lingkungan industri manufaktur.

Perancangan Minimum-Maximum Level Stok Material Consumable APD Berdasarkan Data Historis di PT XYZ Naufal Rabbani Sumitra; Apid Hapid Maksum; Billy Nugraha
Jurnal Sains dan Teknologi: Jurnal Keilmuan dan Aplikasi Teknologi Industri Vol. 25 No. 1 (2025): Regular Issue
Publisher : SEKOLAH TINGGI TEKNOLOGI INDUSTRI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36275/gajjxn73

Pengelolaan persediaan material consumable seperti Alat Pelindung Diri (APD) memiliki peran penting dalam mendukung kelancaran proses produksi, terutama dalam industri otomotif yang memiliki kebutuhan operasional tinggi. Penelitian ini bertujuan untuk merancang standar Level Stock material APD dengan pendekatan kuantitatif menggunakan metode minimum-maximum stock level. Pendekatan ini mengacu pada data penggunaan aktual, kedatangan barang, serta lead time pengiriman. Lima Item APD dipilih sebagai sampel utama untuk dianalisis, dan hasilnya dijadikan dasar dalam penyusunan standar Level Stock yang optimal. Perhitungan meliputi kebutuhan harian rata-rata, fluktuasi pemakaian dan kedatangan, buffer stock, serta safety stock. Hasil simulasi menunjukkan bahwa kelima Item berada dalam batas Level Stock yang ditentukan tanpa mengalami stockout atau overstock. Perancangan standar Level Stock baru berdasarkan data historis dan simulasi menghasilkan efisiensi biaya penyimpanan dengan penghematan maksimal sebesar Rp22.484.013. Dengan demikian, penerapan metode minimum-maximum stock level berbasis data historis terbukti efektif dalam meningkatkan akurasi pengendalian persediaan, mengurangi potensi pemborosan, serta meningkatkan efisiensi operasional di lingkungan industri manufaktur.

Material Inventory Control Analysis Using Safety Stock and Reorder Point Methods at PT. Hwaseung Bimaruna Indonesia Muhammad Luthfi Aprian; Sutrisno; Apid Hapid Maksum; Muhammad Rafi Achsan; Naufal Rabbani Sumitra
Jurnal Serambi Engineering Vol. 11 No. 3 (2026): Juli 2026
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

PT Hwaseung Bimaruna Indonesia is an automotive rubber component distribution company facing inventory control problems, as indicated by 33 materials categorized as Need Order in its Material Requirement Planning (MRP) system. This condition reflects a potential inventory shortage that may disrupt operational activities. This study aimed to identify materials with Need Order status, determine the required Safety Stock, and calculate the optimal Reorder Point (ROP) as a basis for inventory control. A quantitative approach was employed using the Safety Stock and Reorder Point methods. The research samples were selected through purposive sampling, focusing on five materials with the highest demand levels: 82130-I7000, 58737-BW200, 58738-BW200, 25415-I7000, and 26710-2M020. The data consisted of material demand records, inventory data, supplier lead time data, and company MRP data from January to May 2026. The results showed that the highest Safety Stock value was found for materials 58737-BW200 and 58738-BW200 at 1,889.29 units, while the lowest value was identified for materials 25415-I7000 and 26710-2M020 at 850.58 units. The highest Reorder Point value was obtained for materials 58737-BW200 and 58738-BW200 at 7,520.89 units, whereas the lowest value of 5,418.18 units was found for materials 25415-I7000 and 26710-2M020. The implementation of the Safety Stock and Reorder Point methods can assist the company in determining appropriate safety inventory levels and replenishment timing, thereby minimizing the risk of stockouts.

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