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Jurnal Optimalisasi
Published by Universitas Teuku Umar
ISSN : 24775479     EISSN : 25020501     DOI : https://doi.org/10.35308/jopt
Core Subject : Engineering,
Control & Systems Engineering Industrial & Manufacturing Engineering
JURNAL OPTIMALISASI (JOPT) merupakan jurnal elektronik online yang diterbitkan oleh Program studi Teknik Industri, Fakultas Teknik, Universitas Teuku Umar. JOPT memuat kajian dibidang Manufaktur, Ergonomi dan Manajemen Rantai Pasok. Tujuan penerbitan jurnal optimalisasi adalah sebagai wadah publikasi yang mewadahi kebutuhan peningkatan kualitas karya ilmiah dalam rangka pengembangan keilmuan dan menyebarluaskan kajian bidang ilmu Teknik Industri, sekaligus sebagai wahana komunikasi diantara cendekiawan, praktisi, mahasiswa dan pemerhati masalah Industri. JOPT terbit dua kali dalam setahun, tepatnya pada bulan April dan Oktober. Bagi pembaca, penulis, dan yang melakukan akses situs jurnal yang ingin submit naskah ke jurnal ini, silakan mendaftar sebagai author kemudian login untuk submit naskah. Informasi penulisan dan submit naskah dapat diakses di author guidelines dengan mengikuti pentunjuk di situs jurnal.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 247 Documents
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Analisis Peramalan Permintaan Jahe Merah Bubuk Dengan Metode Moving Average dan Exponential Smoothing Pada PT. Natrindo Surya Prima Wisnianingsih, Nova; Nurrokhman, Agus
Jurnal Optimalisasi Vol 10, No 2 (2024): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v10i2.10106

Abstract

A common problem faced by companies is how to predict future production of goods based on previously collected data. Companies only produce according to orders, so that companies carry out the production process only according to the amount requested by consumers. When there is excess, this excess is stored in stock, this is to meet sudden consumer demand. Forecasts greatly influence management decisions to determine the amount of production of goods to be supplied by the company, general business and economic conditions, competitor reactions and actions, government actions, market trends, product life cycles, styles and fashions, changes in demand and innovation in consumer technology. This study aims to identify and analyze the results of forecasting red ginger powder production using the moving average forecasting method and exponential forecasting. This method has the advantage of greatly reducing data storage problems, so there is no need to store all historical data. This method is also simple and transparent which is widely used in various organizational activities such as inventory management, scheduling, and revenue management. For forecasting, the more data used for forecasting, the more accurate the forecasting results. The results of this study have succeeded in creating a forecasting system for the production of red ginger powder at PT Natrindo Surya Prima, namely using exponential smoothing forecasting with a value of α = 1. So it is easier to determine the amount of red ginger powder production in the following years.
Analisis Potensi Bahaya Menggunakan Hazard Identification and Risk Assesment & Risk Control (HIRARC) (Studi Kasus : CV. Nadha Furniture) Hadi, Khairul; Irawan, Risnadi; Akmal, Abdiel Khaleil; Ridha, Arrazy Elba; Fatah, Samsul; Kamal, Mustafa
Jurnal Optimalisasi Vol 10, No 2 (2024): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v10i2.10668

Abstract

CV Nadha Furniture is a business entity operating in the furniture sector which produces various types of processed wooden goods that have sales value such as doors, frames and windows. The aim of this research is to identify potential hazards at each step of the work and carry out risk assessments, prevention and control of potential hazards found in the production process. The method used in this research is Hazard Identification and Risk Assessment & Risk Control (HIRARC). Based on the results of identifying potential hazards at CV Nadha Furniture, it has 5 potential hazards in the high category and 4 potential hazards in the medium category in the production process, including the raw material selection station has 1 potential hazard in the high category, the raw material cutting station has 2 potential hazard categories. high and 1 potential hazard in the medium category, the pattern forming station has 2 potential hazards in the high category and 1 potential hazard in the medium category, and the vinyl installation station and final checking and packaging stations have 2 potential hazards in the medium category. To minimize the level of risk from potential dangers, risk control is carried out which can be done by using gloves, safety helmets, masks and safety shoes as well as providing job training and conducting safety talks before carrying out work..
Redesain Kemasan Produk Keripik Manggleng dengan Quality Function Deployment (QFD) dan Value Engineering Patricia, Anggita Ramadhani Whi Whi; Muhammad, Katon; Al Hakim, Reza Azizul Nasa; Irawan, Heri
Jurnal Optimalisasi Vol 10, No 2 (2024): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v10i2.9906

Abstract

Poetra Roti merupakan UMKM yang terus berkembang pesat yang menciptakan inovasi produk dengan memanfaatkan bahan baku lokal. Saat ini Poetra Roti telah memproduksi 26 jenis makanan. Menurut pemilik UMKM, produk keripik manggleng merupakan produk yang kurang laku karena sepi peminat dan terdapat kompetitor yang menjual produk sejenis. mengindikasikan perlu adanya perbaikan untuk meningkatkan penjualan keripik manggleng. Penelitian ini bertujuan untuk menentukan karakteristik teknis yang diprioritaskan menggunakan House of Quality (HoQ) dan menentukan nilai terbaik menggunakan metode Value Engineering dalam merancang ulang kemasan produk keripik manggleng. Metode yang digunakan pada penelitian ini yaitu Quality Function Deployment dan Value Engineering. Metode QFD dapat mengetahui atribut kebutuhan konsumen (whats) untuk merancang respon teknis (hows). Selain itu, metode QFD dapat mengubungkan spesifikasi produk dengan kebutuhan pasar. Hasil dari Metode QFD yaitu didapatkan 18 atribut kebutuhan konsumen dan 12 respon teknis. Kemudian pada metode Value Engineering menggunakan analisis fungsi dari nilai yang dapat mengendalikan biaya tanpa mengurangi kualitas, estetika dan reabilitas yang diharapkan konsumen. Hasil dari metode VE yaitu dibuat 2 rancangan alternatif dan dipilih dengan alternatif dengan nilai value tertinggi yaitu alternatif A1 (A3B2C1D2E2F1) dengan value sebesar 0,937, nilai performansi 25,844 dan biaya sebesar Rp. 3370. Kepuasan konsumen dinilai meningkat secara signifikan dengan presentase tertinggi sebesar 110,5%.
Evaluasi Sistem Kerja berdasarkan Macroergonomic Analysis and Design dengan Integrasi Macroergonomic Analysis of Structure di Gudang PT. Mulia Multi Medika Mohamad, Silvana; Mohamad, Firmansyah; Firdaus, Aqfi Nur; Fais, Moh. Ainul
Jurnal Optimalisasi Vol 11, No 2 (2025): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v11i2.13569

Abstract

This study aims to evaluate the work system in the PT. Mulia Multi Medika warehouse using an integrative approach of Macroergonomic Analysis and Design (MEAD) and Macroergonomic Analysis of Structure (MAS). The method stages include: (1) identification of the environment and organizational structure; (2) definition of the work system through SWOT analysis; (3) setting performance expectations and mapping subsystems; (4) ergonomic risk assessment using the Workplace Ergonomic Risk Assessment (WERA) and Job Strain Index (JSI); and (5) analysis of the work environment in the form of temperature and noise. In addition, interviews with managers and workers were conducted to capture subjective perceptions of workload and system effectiveness. The results show that worker 1 has a WERA score of 41 (moderate risk) and a JSI of 18 (high), while worker 2 has a WERA score of 35 (moderate) and a JSI of 6.75 (low). The temperature of 18–22°C and noise of 68–72 dB are still within safe limits. The MEAD–MAS analysis revealed role imbalances and technological limitations. Recommendations for improvement include the use of material handling aids, role redistribution, and continuous evaluation to reduce ergonomic risks while increasing productivity.
Improvement Risk Level Pada Proyek Gas Insulated Substation Sawangan Menggunakan Metode Hazard Identification Risk Assessment and Risk Control (HIRARC) Syahabuddin, Agus; Sudiman, Sudiman
Jurnal Optimalisasi Vol 10, No 2 (2024): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v10i2.10113

Abstract

The implementation of construction projects always has the potential for danger or risk that can cause considerable losses regarding costs, materials, and time. Every workplace always has the risk of work accidents that can disrupt work activities in a project. The factors that cause work accidents are the lack of understanding of good Occupational Safety and Health (K3) and also the lack of implementation of the Occupational Health and Safety Management System (SMK3) in the project. The work on the Sawangan Gas Insulated Substation project is one of the projects with a fairly high level of risk in the construction world. This study aims to identify K3 risks, assess risks, and determine their control in order to reduce the level of risk. The method used in risk assessment in this study is Hazard Identification Risk Assessment and Risk Control (HIRARC). The stages used are identifying hazards, assessing risks and determining the controls used to compile K3 goals and targets to be achieved. Based on the results of this study, the Risk Rating can be reduced from 575 Risk Rating to 401 Risk Rating. After the risk control process was carried out, there was an increase, namely: High risk decreased by 65.6% from 32 to 11, Moderate risk decreased by 9.5% from 21 to 19, and for Low risk it increased from 0 to 23. The highest risks were found in commissioning and test function work, installation brickwall and roofing for control building, and tower foundation excavation.
Upaya Meningkatkan Produksi Pada Line Machining Crankcase K-58 Dengan Menggunakan Total Productive Maintenance (TPM) dan Failure Mode and Efect Analysis (FMEA) Muhazir, Achmad; Sinaga, Zulkani; Illahi, Firman
Jurnal Optimalisasi Vol 10, No 2 (2024): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v10i2.10552

Abstract

This study aims to improve production achievement and minimize failures and losses that occur in the Machining Crankcase K-58 line at PT XYZ. The production target was not achieved due to the high frequency of setups on the Fine Boring machine, broken cutting tools, and the large number of product rejects during the production process. The analysis is carried out using the Total Productive Maintenance (TPM) method, namely by calculating the machine's KPI via OEE then identifying it based on the six big losses, so that the root cause of the damage can be identified, while Failure Mode and Effects Analysis (FMEA) is to identify losses based on the mode of damage that occurs. from the known value of the Risk Priority Number (RPN) of critical components that cause machine failure. Based on the calculation of Overall Equipment Effectiveness (OEE) for the year 2023, an OEE value of 76.2% was obtained. The highest value of the Six Big Losses was in the Reduced Speed Losses category, with a percentage of 14.21%. After improvements with the 8-pillar TPM approach, particularly through autonomous maintenance, the OEE value increased by 9.3% to 85.5% in April 2023. The Availability Rate reached 96.3%, the Performance Rate was 91.2%, and the Quality Rate was 97.4%. The improvements included the implementation of autonomous maintenance, kaizen, and planned maintenance, which successfully enhanced the efficiency and effectiveness of production in the Machining Crankcase K-58 line.
Optimasi Jalur Distribusi Menggunakan Pendekatan Algoritma Genetika Saputra, Arie; Fadhilah, Desi
Jurnal Optimalisasi Vol 10, No 2 (2024): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v10i2.10601

Abstract

Management and planning of transportation distribution channels are important in increasing the company's operational efficiency. Optimal distribution arrangements can reduce transportation costs and time, as well as increase product competitiveness in the market. One method used to determine the best distribution route is the Traveling Salesman Problem (TSP), which helps companies achieve maximum efficiency. This research was carried out at the AMDK CV company. Tirta Naga Lestari (TNL) as a case study to analyze product distribution to 11 locations in Aceh. Unplanned product distribution causes high shipping costs. A genetic algorithm (GA) approach is used to find the optimal distribution route. Previous research shows that GA effectively solves complex transportation problems, such as Vehicle Routing Problems (VRP) and transportation scheduling.  This research is a development of the use of the GA method for multiple routing case studies where a route repetition process occurs. This is interesting because previous studies only focused on developing GA methods for single or multiple routing cases but there was no route repetition process (looping). This research aims to determine the optimal distribution path for cases with multiple routing and repetition of the same route.  The different constraints of the solved cases require a more adaptive GA approach. From the results obtained, it is proven that it can minimize total distribution costs of IDR 2,900,000,- with an efficiency of 37.52%. This study is proven to be able to use the GA approach to solve multiple routing problems with route repetition, thus helping to find optimal route solutions that are more efficient for product distribution.

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