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All Journal JOURNAL OF INDUSTRIAL AND MANUFACTURE ENGINEERING Teknika: Engineering and Sains Journal Jurnal Optimalisasi Jurnal InTent: Jurnal Industri dan Teknologi Terpadu Jurnal Teknik Industri Terintegrasi (JUTIN) JISO : Journal of Industrial and Systems Optimization Yumary: Jurnal Pengabdian kepada Masyarakat Jurnal Taguchi : Jurnal Ilmiah Teknik dan Manajemen Industri Indonesian Journal of Multidisciplinary on Social and Technology
Herlina Herlina
Universitas 17 Agustus 1945 Surabaya
Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Transportation Other

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Optimalisasi Rute Distribusi Produk PVC Guna Meminimasi Biaya Transportasi pada PT. Tjakrindo Mas Gresik Muchamad Sainul Abidin; Herlina Herlina
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 3 (2026): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i3.59338

Abstract

Operational cost efficiency, particularly in transportation, is a critical factor in supporting the performance of a company's distribution system. PT Tjakrindo MAS Gresik faces challenges regarding suboptimal distribution routes, underutilized vehicle capacity, and high transportation costs caused by inefficient travel distances. The current distribution system is based solely on regional division without considering the integration between distributor demand and vehicle capacity. This lack of integration leads to empty cargo space, increased operational time, and a total distribution travel distance of 5,130.8 km. This study aims to design more optimal distribution routes and minimize transportation costs using the Capacitated Vehicle Routing Problem (CVRP) method with a Mixed Integer Linear Programming (MILP) approach, solved using LINGO software. The data utilized includes distances between locations, distributor demands, vehicle capacities, fleet size, and transportation costs. The results of this study are expected to yield more efficient distribution routes through reduced travel distance, increased vehicle utilization, and decreased transportation costs compared to the existing distribution system. 
Analisis Pola Downtime untuk Optimalisasi Strategi Perawatan Sistem Navigasi Kapal (Studi Kasus: PT. Pawitra Daya Teknik) Ahmad Ainur Rozikin; Herlina Herlina
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 3 (2026): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i3.58592

Abstract

This study analyzes the downtime patterns of ship navigation systems to formulate an optimal preventive maintenance strategy to improve operational efficiency. A case study was conducted at PT Pawitra Daya Teknik using historical data of 113 work orders from 11 ships during December 2025–February 2026. Methods include descriptive analysis, MTTR, MTBF, availability calculations, statistical distribution testing (Minitab), exponential reliability function, age replacement model, and cost comparison between reactive and preventive scenarios. Results show that Radar and GPS are the most critical systems (contribute >59% of downtime duration) with software failures as the main cause (42%). The optimal preventive maintenance intervals are differentiated: Radar and GPS are serviced more frequently (every 260 hours and 410 hours, respectively), while other systems are serviced less often. This strategy reduces annual downtime by 21.6%, increases availability by 0.26%, and generates operational cost savings of approximately IDR 409 million per year. In conclusion, the preventive maintenance strategy based on a 60% reliability target is proven to be technically and economically optimal.
Optimasi Perencanaan Produksi Pupuk NPK Menggunakan Metode Goal Programming Bahij Naufal Qinthara Achmad; Herlina Herlina
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 3 (2026): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i3.59138

Abstract

CV. Bumi Nusantara is a company engaged in the production of non-subsidized NPK fertilizer. The problem faced by the company is that production planning has been carried out based solely on estimates and experience without using a structured scientific method, resulting in the inability to accurately anticipate demand fluctuations. The Goal Programming method is used because it is capable of solving problems involving multiple objectives and priorities within a single mathematical model. The research data were obtained from production and demand data, machine capacity, labor, and production costs. The results of the study indicate that the Goal Programming method can produce a more optimal production plan by minimizing deviations from the targets set by the company. In addition, this method helps the company allocate resources effectively so that the production process becomes more directed. Therefore, the implementation of Goal Programming can serve as an alternative solution to improve the efficiency and effectiveness of NPK fertilizer production planning in the company. 
Analisis Keseimbangan Lini Produksi Menggunakan Metode Ranked Positional Weight (Studi Kasus: UD. XYZ) Imara Hany Anindita; Herlina Herlina
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 3 (2026): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i3.59257

Abstract

UD. XYZ is a company engaged in the production of flooring, lambersering, and decking products. This study was conducted due to the company's inability to consistently achieve production targets and the existence of workload imbalances along the production line. These conditions are indicated by bottlenecks at several production processes, idle time, and the accumulation of work in process (WIP), which negatively affect operational efficiency. The objective of this research is to analyze and develop improvements to production line balancing using the Ranked Positional Weight (RPW) method. Data were collected through direct field observations, including work time measurements for each work element, data adequacy testing, and data uniformity testing. The results show that the implementation of the RPW method reduced the number of workstations from five to three, increased line efficiency from 45.64% to 92.85%, and decreased balance delay from 54.36% to 7.15%. Therefore, the RPW method can be considered an effective alternative for improving line balance and production efficiency in the wood processing industry.
Analisis Pengendalian Persediaan Bahan Baku Kedelai untuk Meminimalkan Biaya Persediaan Rizky Akbar Saputra; Herlina Herlina
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 3 (2026): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i3.60795

Abstract

Mr. Teguh’s Tofu Factory, established in 2003, is an example of a home-based industry that employs a make-to-stock production system. The reactive, non-scientifically based system for controlling raw material inventory resulted in stockouts and overstock during the January–December 2025 period. This study aims to determine the safety stock, reorder point, and optimal order quantity using the Silver Meal (SM) method. Demand forecasting was performed using the Weighted Moving Average. The results show that the Silver Meal method yields a safety stock of 663 kg and a reorder point of 4,836 kg. The application of this method resulted in a 75% reduction in ordering costs (from Rp1,027,200 to Rp256,800) and a 100% reduction in storage costs (from Rp270,675 to Rp0), or a non-material operational cost savings of 80.21%, thereby reducing the Total Inventory Cost (TIC) from Rp1,862,297,875 to Rp1,853,286,800. This study demonstrates that the integration of the WMA and Silver Meal forecasting methods can be an effective solution for optimizing soybean raw material inventory policies in the home-based tofu industry
Co-Authors Ade Reynaldi Saputra Ahmad Ainur Rozikin Ahmad Ridho’i Amanah Isnaini Angga Dwi Laksa Anggie Erma Yunita Bahij Naufal Qinthara Achmad David Hizkia Wardana Dimas Adi Prayitno Diona Vita Ayu Ningrum Diyana Azizah Azizah Erlin Kurnia Sari Fanny Setiawan Imara Hany Anindita Mega Puja Azhari Mohammad Insan Romadhan Muchamad Sainul Abidin Muhammad Alhafizh Yahya Muhammad Dliya'ul Haq Nadila Eka Anggini Nur Aini Ismiranda Ovika Agustin Anugrah Niawan Ragata Penta Fauzany Reynaldy Eka Saputra Wisnu Wardana Rizky Akbar Saputra Siti Muhimatul Khoiroh Siti Mundari