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Analisis Total Productive Maintenance Pada Industri Percetakan Farid Marhaban; Dwi Indra Prasetya; Fibi Eko Putra
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

In the production process there is still a lot of damage suffered on the machine, one of which is the production target that was not achieved due to the defective product. In the production process, one of the machines in the printing industry is the HD Speed ​​Master’s machine which often has problems, the HD Speed ​​Master’s machine used in the production process serves as a paper printing machine. A common problem with this machine is the high frequency of damage, so that the printing paper suffers from defects such as blurred ink, skewed process results, torn paper and there are parts that are not printed so as to interfere with production process. The purpose of this study was to identify the effectiveness of HD Speed ​​Master’s machine using Overall Equipment Effectiveness (OEE) approach. Based on the analysis conducted on the HD Speed ​​Master’s machine, the result from the OEE calculation is 81%. Does not meet the company's standard of 85%. The low OEE value is due to the large amount of downtime that occurs in the machine, so the machine does not work effectively and efficiently. Keywords: Maintenance, downtime, Total Productive Maintenance, Overall Equipment Effectiveness
ANALISIS PENGUJIAN SUPER DECISION V.3.2.0 DENGAN METODE ANALYTICAL HIERARCHY PROCESS Rizky Dwi Herliansyah; Ade Nurul Hidayat; Dwi Indra Prasetya
Prosiding Sains dan Teknologi Vol. 2 No. 1 (2023): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 2 - Februari 2023
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

Analytical Hierarchy Process (AHP) adalah Teori pengukuran menggunakan perbandingan berpasangan dan mengandalkan penilaian ahli untuk mendapatkan skala prioritas. Banyak penelitian menggunakan metode AHP dalam mengambil keputusan, berjalannya perkembangan jaman membuat metode ini dikalahkan dengan aplikasi atau software untuk mempercepat pengolahan data dan menghasilkan data secara cepat salah satu contohnya adalah aplikasi Super Decision V.3.2.0. Pada penelitian kali ini kita menggunakan data dari salah satu peneliti dalam pengambilan keputusan yaitu penelitian pemilihan supplier umkm nadhyva ice cream, sehingga pada penelitian ini peneliti ingin menganalisis penggunaan software tersebut sudah sesuai atau belum dengan metode AHP yang sudah teruji. Perhitungan alternatif supplier yang diprioritaskan untuk dipilih pada UMKM Nadhyva Ice Cream berdasarkan perhitungan manual AHP adalah PT.Aice dengan skor tertinggi yaitu 0.53 sedangkan berdasarkan perhitungan otomatis dengan aplikasi Super Decision v.3.2.0. adalah PT.Aice dengan skor tertinggi yaitu dan skor 0.53611. Perhitungan yang dilakukan oleh software Super Decision v.3.2.0 memiliki kemiripan 93% dengan metode AHP, sehingga bisa di simpulkan abahwa software tersebut bisa digunakan untuk mengolah data dalam pengambilan keputusan.
Optimalisasi Line Balancing pada Proses Produksi PCB Line KMM-X704KN PT. XYZ Rahmat Hidayat; Tri Ngudi Wiyatno; Dwi Indra Prasetya
INSOLOGI: Jurnal Sains dan Teknologi Vol. 5 No. 1 (2026): Februari 2026
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v5i1.6879

Abstract

This study aims to analyze and balance the production line in the assembly process using two Line Balancing methods, namely Helgeson–Birnie (H-B) and the Largest Candidate Rule (LCR), with a cycle time (CT) set at 2.28 minutes (137 seconds) based on the manual bottleneck workstation. The total element work time was recorded at 19.39 minutes, with a minimum required number of 9 workstations. The calculation results from both methods showed consistent and identical solutions, yielding 10 actual workstations (N_actual = 10). The line performance achieved a Line Efficiency (LE) of 85.04% with a Balance Delay (BD) of 14.96%. Although this efficiency is considered good, idle time analysis revealed a total waste of 3.41 minutes, most of which occurred at Workstation 10, which operated for only 0.20 minutes. These findings indicate that improvements should focus on restructuring the final workstation to eliminate waste, increase LE, and streamline total element time to approach the Takt Time, thereby optimizing overall line performance. This study provides practical recommendations for production management to enhance productivity and the efficiency of the assembly line.