cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Fitriadi
Contact Email
fitriadi@utu.ac.id
Phone
-
Journal Mail Official
jopt@utu.ac.id
Editorial Address
Jurusan Teknik Industri Fakultas Teknik Universitas Teuku Umar, Alue Peunyareng 23615 Aceh Barat.
Location
Kab. aceh barat,
Aceh
INDONESIA
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 12 Documents
 1   2 
Search results for , issue "Vol 7, No 2 (2021): Oktober" : 12 Documents clear
Model Penentuan Jumlah Produksi yang Optimal pada Rantai Pasok dengan Produsen Tunggal dan Multi-Retailer Prayoga Rizky Hermawan; Said Salim Dahda; Deny Andesta
Jurnal Optimalisasi Vol 7, No 2 (2021): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v7i2.3656

Abstract

Determining the optimal size of procurement or production is the key word in determining optimal inventory. An integrated procurement and production size optimization model becomes a model that provides optimal results for all parties involved in the supply chain. This study proposes the development of a single producer and multi retailer supply chain model with the aim of minimizing the total inventory cost (TIC). The company distributes products to each retailer for further sale to consumers by the retailer. The annual demand from retailers is assumed to be different. Model development is carried out to obtain optimal production quantities for producers, optimal delivery quantities and determine the optimal number of retailers. The determination is based on the manufacturer's production cycle time is the same as the inventory cycle time at each retailer is the same. A simple algorithm is used to determine the optimal cycle time which can be followed by determining the optimal production size, optimal number of shipments and optimal number of retailers. At the end of this study, a numerical example of the use of a model that has been built based on case study data of a fertilizer industry is presented as a producer and its partners as retailers. The results of the numerical examples that have been carried out show that the optimal number of retailers is 3 retailers with an optimal production of 742 units, the determination of the optimal number of retailers is obtained from experiments with the lowest TIC value.
Kualitas Pelayanan Terhadap Kepuasan Pelanggan Menggunakan Metode Customer Satisfaction Index dan Importance Performance Analysis Pada PT. PLN (Persero) Area Meulaboh Sofiyanurriyanti Sofiyanurriyanti; Yola Tri Amanda; Arie Saputra; Marlinda Marlinda; Iing Pamungkas; Indra Kusuma
Jurnal Optimalisasi Vol 7, No 2 (2021): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v7i2.4341

Abstract

The level of customer satisfaction with service is an important factor in developing a service provision system that is responsive to customer needs. Based on the results of this study, namely the results of the CSI calculation, the customer satisfaction index value for the services provided by the PLN Meulaboh Area is 86% on a scale range of 85% < X 89% so that it can be said that the level of customer satisfaction there is generally in the Very Good category. means very good but there is still a sense of dissatisfaction from customers of PT. PLN (Persero) Meulaboh Area is 14%, therefore the service level of PT. PLN (Persero) Meulaboh Area should be further improved. Based on the results of the calculation of the level of conformity with the interests of the customer, it can be seen clearly from the Cartesian diagram, where there are 6 attributes that need to be repaired immediately, namely (P6) the accuracy of each record made by the meter reader officer, (P10) The condition of the KWH meter (turnover of numbers). according to the amount of usage), (P11) the speed of response in serving requests for submitting new pairs or changes in power, (P13) the lack of speed in the procedures for installing new connections or simple power changes, (P16) smooth processing of electricity payments through local banks and (P16) P24) compensation to customers for mistakes made by officers.
Pengendalian Kualitas Produk Komponen Foxing pada Departemen Moulding di PT. Agung Pelita Menggunakan Metode Statistical Process Control (SPC) Septian Rahmat Adnan; Jesica Jepni D. A; Nofi Erni; Taufiqur Rachman
Jurnal Optimalisasi Vol 7, No 2 (2021): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v7i2.3655

Abstract

PT Agung Pelita Industrindo is a company engaged in the shoe industry that specializes in producing accessories or shoe components for various types of shoes. One of the products produced is the Foxing component product, which is a component produced for the NIKE Air Max Plus type of shoe. Based on the results of observations, it is known that the production process for Foxing component products still has product defects and The purpose of this research is to control the quality of the product of the foxing component at PT. Agung Pelita and to get information the most dominant types of defects in the Foxing production process and the factors causing the occurrence of defective products using the Statistical Process Control (SPC) method and providing suggestions for improvements to reduce the number of defective products. From the results of the analysis obtained six types of defects produced in the Foxing component production process, the more dominant type of defect is waste defects, namely defects that occur due to unwanted small prints on Foxing component materials, so that the proposed improvements that can be made by PT Agung Pelita Industrindo to reduce the number of waste defects in the production process of Foxing's component products is to hold outreach to operators to improve understanding of SOPs related to mold cleaning.
Analisis Beban Kerja pada Operator Bagian Produksi dengan Menggunakan Metode NASA-TLX (Task Load Index) di PT. Ujong Neubok Dalam Reji Jaya Putra; Gaustama Putra
Jurnal Optimalisasi Vol 7, No 2 (2021): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v7i2.4352

Abstract

Operator workload in a company can be grouped into low or high workloads. Operators feel the workload is low if each activity is carried out easily and safely so that it does not exceed the operator's capabilities. Meanwhile, a heavy workload is felt when the work exceeds the operator's ability limit which can cause fatigue and work accidents. PT Ujong Neubok Dalam is a company that produces Crude Palm Oil (CPO) and kernels. In the production section, there are workstations such as loading rump, sterilization, digester and press, clarification, and others. The production target is 270 tons/day of Fresh Fruit Bunches (FFB) which are produced into CPO. The demand for production targets resulted in complaints and discomfort felt by the production department operator. The purpose of this study was to analyze the workload and workload indicators of production operators using the NASA-TLX method. From the calculation results of 17 operators, the mental workload that is classified as high is felt by 7 operators with an average Weighted Workload (WWL) of 81-89, while 10 operators are classified as high mental workloads with a WWL value of 78-67. Of the 6 NASA-TLX indicators, 3 indicators have the highest mental workload values, namely physical needs (KF), effort (U), and work performance (PK) with details of the average value of 248 - 260.
Perencanaan Produksi Crude Palm Oil (CPO) dengan Metode Goal Programing di PT. Beurata Subur Persada Arie Saputra; Wahyudi Wahyudi
Jurnal Optimalisasi Vol 7, No 2 (2021): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v7i2.4239

Abstract

Production planning is the process of producing goods in a certain period in accordance with what is predicted or scheduled through organizing resources such as labor, raw materials, machinery and other equipment. PT. Beurata Subur Persada is one of the palm oil mills whose production planning and production capacity can still be optimized again, optimizing production planning will have an impact on costs and profits that have been maximized. During this time PT. BSP often experiences idle capacity and lack of raw materials due to poor initial planning. This study aims to determine the optimal amount of production planning production for production planning at PT. Beurata Subur Persada period January - December 2021. Optimization of CPO production is carried out using the Goal Programming method and model completion is carried out with the help of the Linear Interactive Discrete Optimizer (LINDO) program. The objective function of the model is based on the goals to be achieved by PT. BSP, namely meeting the demand for CPO, minimizing CPO production costs, minimizing the cost of purchasing Fresh Fruit Bunches (FFB), and maximizing FFB processing. The results obtained from this study are the number of Optimal CPO Production Planning at PT. The percentage of Subur Persada for production planning for the period January 2021 – December 2021 is 2,483,173,750 Kg in a row; 2,380,724,000 Kg ; 2,370,230,250 Kg ; 2,454,504,750 Kg ; 2,610,965750 Kg ; 2,765,000,500 Kg ; 2,934,000,500 Kg ; 3,067,094,500 Kg ; 2,983,999,500 Kg ; 2,972,001,250 Kg ; 2,836,852,500 Kg ; 2,650,128,250 Kg and the Optimal FFB Purchase Amount to be achieved by PT. Beurata Subur Persada for production planning for the January 2021 – December 2021 period, respectively, is 7,577,220,500 Kg; 7,951,500,000 Kg ; 8,673,920,000 Kg; 7,685,560,000 Kg ; 7,827,840,000 Kg ; 9,977,241,000 Kg ; 10,489,481,000 Kg ; 12,910,930,000 Kg ; 11,779,611,000 Kg ; 10,345,760,000 Kg ; 8,700,900,000 Kg and 6,983,760,000 Kg.
Pengendalian Produksi Pascapanen pada IKM Nozy Juice dengan Metode Six Sigma Didi Asmadi; Ilyas Ilyas; Elda Nadhilah
Jurnal Optimalisasi Vol 7, No 2 (2021): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v7i2.3486

Abstract

This study aimed to carry out the process of controlling postharvest products, namely the fruits processed into juice produced by the Small and Medium Enterprises (SMEs) Nozy Juice in Banda Aceh. The problem faced is that an uncontrolled production process can cause product damage, which can cause losses. The research methodology used is the six sigma method, and the type of data used is secondary data, namely production process data, production quantities, and damage data. The results showed a sigma level of 3.38, which means there is still a need for improvement or control of the product because there are still product defects. There are three types of defects in the production process, namely 61% damaged stickers, 31% damaged seals, and 8% dirty. Sticker damage is the most dominant defect caused by human factors, work methods, and the environment. The corrective action suggestions are designing and establishing SOP, recording the entire production process, increasing supervision, establishing a reward/punishment system, training employees, and conducting evaluations. The results of this study are expected to provide technical and practical contributions for business actors to improve and maintain product quality, satisfaction, productivity, and profit.
Identifikasi Pemborosan di Unit Penyaring Minyak Inti Sawit PT. SSS Sundari, Susanti; Gempito, Alip; Suwarni, Putri Indah
Jurnal Optimalisasi Vol 7, No 2 (2021): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v7i2.4184

Abstract

On the part of the oil filtering process is the most important stage in the processing of palm kernel at PT. SSS. This is because all production processes are focused on the stages of the process, where the filtered clean oil is directly flowed into the clean oil reservoir until it is ready to be exported to companies that cooperate with PT. SSS. From initial observations, it is known that there is a use of longer time than it should be where the total time for all activities in the oil filtration unit that exceeds the company's standard time is 83.2 minutes and then there are several waiting activities. On the basis of this, this research aims to find out in more detail what wastes are contained in the oil filtering unit and their causes.. This is the first step for continuous improvement for the company. This research method is a descriptive research using Process Activity Mapping (PAM) as a tool to find out all the activities that take place during the stages of the oil filtering process, then classify these activities based on the type of waste. Furthermore, a causal diagram (fishbone diagram) is made to analyze the causes of waste. From the results of the study identified three types of waste, namely over process (73.1%), waiting (20.1%) and motion (6.8%), with the dominant factor of humans being undisciplined in their work as the cause.
Analisis Perbandingan Metode Moving Average dan Exponential Smoothing untuk Meramalkan Permintaan Produk Turning Pada CV. Gavra Perkasa Suparno Suparno; Anik Rufaidah
Jurnal Optimalisasi Vol 7, No 2 (2021): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v7i2.4311

Abstract

CV. Gavra Perkasa is a manufacturing industry with the finished product in the form of turning. The number of sales transactions will affect the inventory of raw materials. The problem with the company is that the company's ability to predict the amount of raw materials that must be available in the following month is not optimal due to fluctuating demand. This problem will have an impact on planning inventory inventory during the production process and recording inventory usage to optimize storage costs. This study aims to plan inventory demand in the future and to plan inventory use using the Moving average  and Exponential smoothing methods. These two methods are used because the results of the demand data plot show a stationary data pattern. The accuracy of the forecasting results was analyzed with the smallest MSE, MAD, and MAPE results. Based on the analysis results, the 5-month MA method is the most accurate with prediction results in 2017 of 57000 units with MAD, MSE, and MAPE values of 3684.21, 24345260, and 0.07.
Analisis Postur Kerja Menggunakan Metode Ovako Work Analysis System (OWAS) pada UKM Pengolahan Ikan Khairul Hadi; Iing Pamungkas; Risnadi Irawan; Abdiel Khaleil Akmal; Heri Tri Irawan; Adib Adib
Jurnal Optimalisasi Vol 7, No 2 (2021): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v7i2.4436

Abstract

UKM Stefen Aluy is one of the businesses engaged in processing fresh fish into salted fish. When conducting preliminary research in the field, several causes of Musculoskeletal Disorder (MSDs) complaints were found. The results of the preliminary study, 66.7% of workers complained of pain in the waist, 50% of workers complained of back and waist pain, 33.3% of workers complained of pain in the left and right elbows and 16.7% of workers complained of pain in the thighs. Cumulatively from the preliminary research conducted, the parameters of the level of pain complaints were 21.4%, moderate pain, 33.3% and 45.2% pain. If this condition is ignored continuously for a long time, it has the potential to cause injury or low back pain to workers. To identify and analyze work attitudes, the Ovako Work Analysis System (OWAS) method is used, which is a method to identify and analyze work attitudes. The results of the study concluded that based on biomechanical measurements of work postures, there were several work postures that were included in 3 (three) assessment categories, namely the work posture of moving fish at the sorting station, working posture of moving fish at the weeding station, and working posture of moving fish at the packaging station.
Peramalan Permintaan dalam Menentukan Penjualan Produk Menggunakan Metode DES Brown dan DES Holt di PT. XYZ Santika Sari; Noiska Lathifa Sari; Jeremia Radja Moza; Dani Wahyudi; Mira Syehika Hutami
Jurnal Optimalisasi Vol 7, No 2 (2021): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v7i2.3980

Abstract

PT XYZ is the first mining company in Indonesia engaged in the Alumina industry as well as an industrial pioneer in processing bauxite into CGA (Chemical Industry Alumina). The amount of demand for alumina varies depending on the number of product requests that must be produced each month. The methodology used in this research is forecasting. Forecasting is a method used to estimate a future need that refers to past data. The company's products are produced on a made-to-order system, and some are produced on a bespoke system developed to meet the needs of consumers or other companies. Currently, the problem experienced by PT XYZ is that it has only been reselling since late 2018, so it is still building brand and trust. And also the stock inventory is still very large so it still needs a lot of improvement and planning. So in this study, forecasting will be carried out to determine product sales using the DES Brown and DES Holt methods and find out which method is the best to use in helping to forecast product sales from PT XYZ. In this study, data plots were carried out and resulted in the type of Trend pattern. Furthermore, data forecasting is carried out using 2 methods, namely DES Brown and DES Holt. The best method used for forecasting this alumina demand is the Holt DES method with the accuracy of the calculation results using the smallest MAPE value. From the results obtained the smallest MAPE value is 0.246068 or 24.6%, meaning that the probability of success from forecasting is 75.6%.

Page 1 of 2 | Total Record : 12

 1   2 

Filter by Year

2021 2021


Reset
Filter By Issues
All Issue Vol 11, No 2 (2025): Oktober Vol 11, No 1 (2025): April Vol 10, No 2 (2024): Oktober Vol 10, No 1 (2024): April Vol 9, No 2 (2023): Oktober Vol 9, No 1 (2023): April Vol 8, No 2 (2022): Oktober Vol 8, No 1 (2022): April Vol 7, No 2 (2021): Oktober Vol 7, No 1 (2021): April Vol 6, No 2 (2020): Oktober Vol 6, No 1 (2020): April Vol 5, No 2 (2019): Oktober Vol 5, No 1 (2019): April Vol 4, No 2 (2018): Oktober Vol 4, No 1 (2018): April Vol 3, No 5 (2017): Jurnal Optimalisasi Vol 3, No 4 (2017): Jurnal Optimalisasi Vol 2, No 3 (2016): Jurnal Optimalisasi Vol 2, No 2 (2016): Jurnal Optimalisasi Vol 1, No 1 (2015): Jurnal Optimalisasi More Issue