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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 18 Documents
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Search results for , issue "Vol 10, No 1 (2024): April" : 18 Documents clear
Identifikasi Potensi Bahaya pada Stasiun Boiler Menggunakan Metode Hirarc di PT. Syaukath Agro Hidjrawan, Yusi; Hartati, Rita; Marlinda, Marlinda; Ariansyah, Wanda
Jurnal Optimalisasi Vol 10, No 1 (2024): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v10i01.9292

Abstract

PT Syaukath Agro is a company operating in the Agribusiness Sector which is engaged in processing palm oil Fresh Fruit Bunches (FFB) into crude palm oil (CPO), Palm Kernel (PK) and shells. The palm oil processing system consists of several stages starting from receiving Fresh Fruit Bunches (FFB) to becoming palm oil or Crude Palm Oil (CPO). The palm oil processing process can be used in several stages carried out at each station. Based on interviews conducted, each station has a different level of risk of accidents, one of the stations that has a large risk of work accidents is the boiler station which is the heart of a palm oil factory where the steam boiler is the source of power and the source of the steam that will used to process palm oil. Boilers have potential dangers or risks when operated. The risks that often occur are falls, slips, burns, scalds, heat, noise, so it is very important to supervise and provide guidance regarding work safety. The size of the accident caused will certainly have a detrimental impact on the company. The severity of the accident can be determined through identification of potential dangers and risk assessment of all boiler operating activities at PT. Syaukath Agro. Based on the results of research conducted using the hirarc method, potential hazards found in boiler stations include: Unergonomic Working Attitudes, Noise Levels >84 dB with 8 Hours/Day Exposure, Working climate temperature (hot) 31°C on exposure >8 working hours/day, and oil buildup. Types of risk of work accidents at boiler stations consist of: Falls, injuries (slipping, slippery floors) Burns (in contact with hot objects around), Heat exhausting (Heat), Work accidents (fatigue ), hearing loss (noise), blisters (burns), health problems (muscles, bones), contact dermatitis (exposed to dangerous toxic radiation). Based on the results of risk control, it was found that the most appropriate type of control recommendation is administrative control and compliance with the use of personal protective equipment (PPE). Administration (Administration Control) is carried out by creating or providing a work system that can reduce the possibility of someone being exposed to potential dangers. The hierarchy of control of Personal Protective Equipment (PPE) is used to provide a boundary between exposure to the body and the potential danger received by the body.
Pengendalian Kualitas Produk Griller Menggunakan Failure Mode Effect and Analysis (FMEA) dan Root Cause Analysis (RCA) Chusnah, Asma’ul; Cahyana, Atikha Sidhi
Jurnal Optimalisasi Vol 10, No 1 (2024): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v10i1.9459

Abstract

A company engaged in the slaughterhouse of boiler chickens and one of its products is griller, which is chicken that is cut in a halal manner and packaged in the form of a whole carcass. Based on daily reports, the number of defects found in griller products shows a percentage of up to 30%. The purpose of this study is to identify the types of defects found in grillers so that alternative improvements can be determined. This research uses the Failure Mode Effect Analysis (FMEA) method to identify the most dominant types of defects in the product and find the causes. The highest defects from the FMEA results are processed by the Root Cause Analysis (RCA) method to provide improvement proposals so as to reduce the number of existing defects. The results of this study show that the most dominant type of defect is feathers remaining on the carcass with the highest RPN value of 175. The defect of feathers still remaining on the carcass is caused by workers who do not follow the SOP correctly, the changing size of raw materials, and rubber. The plucking machine is worn and loose, the settings of the plucking machine are loose, the temperature of the scalder tends to drop, the inspection in the process is not correct, there is no information on how to operate the machine, the raw materials are not uniform, and the working environment temperature is high and noisy.
Pengendalian Persediaan Bahan Baku Petis Udang dengan Menggunakan Metode Economic Order Quantity (Eoq) di Ud. Agung Jaya Rufaidah, Anik; Rosyidi, Moh. Ririn; Suparno, Suparno
Jurnal Optimalisasi Vol 10, No 1 (2024): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v10i1.8431

Abstract

Raw material inventory is very important for companies. UD. Agung Jaya is a company that operates in the food sector, namely Petis Udang. Problems at UD. Agung Jaya has raw material stock problems, namely a shortage or excess of raw materials. The aim of this research is to help optimize UD costs of UD. Agung Jaya. This research uses raw material purchase data for shrimp heads, sugar, and flour which is processed by forecasting calculations for 12 periods or 1 year into the future using the single exponential smoothing (SES) time series forecasting method. The aim is to determine the need for raw materials so that there are no shortages or excesses of raw materials during the ongoing production process, and the efficiency of raw material needs in this research. The results of the research show that the raw material for shrimp heads has a mape error value of 24, sugar has a mape error value of 24, and flour has a mape error value of 26.1. Furthermore, the raw material decomposition method for shrimp heads has a mape error value of 15, sugar has a mape error value of 15, and flour has a mape error value of 16.42. The second result of forecasting shows that the decomposition method obtains a smaller mape value or the lowest error value. This research also uses the Economic Order Quantity (EOQ) method in the 2022-2023 period with raw material yields of 515.28 kg of shrimp heads, 488.54 kg of sugar and 188.09 kg of flour.
Identifikasi dan Mitigasi Risiko pada Proyek Konstruksi Menggunakan Metode House of Risk: Studi Kasus Irawan, Heri Tri; Pamungkas, Iing; Hasnita, Hasnita; Fauza, Teuku Soleh
Jurnal Optimalisasi Vol 10, No 1 (2024): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v10i01.9302

Abstract

PT. Rigis Beukarya Property is a developer and contractor for housing projects in the West Aceh region. Housing projects that are implemented often experience obstacles in the construction of the project, such as over budget from the predetermined RAB, repeated repairs, materials that are ordered late, and exposure to bad weather which results in large losses due to these obstacles. The aim of this research is to identify risks in the Grand Keutapang housing development process, and mitigate the dominant risks in the Grand Keutapang housing development process. The House of risk (HOR) method is used to solve this problem by identifying risk events, risk agents and also designing risk agent mitigation strategies based on Aggregate Risk Potential (ARP) values. The results obtained from the house of risk stage 1 risk mapping show that there are 5 dominant risk agents that will be taken into consideration in developing mitigation actions, namely: A-14 (Lack of coordination between parties involved) with an ARP value of 3,384, A-1 (Incompetent/careful workforce) with an ARP value of 1,800, A-12 (Fluctuating company financial cash flow) with an ARP value of 826 , A-15 (Lack of supervision in the field) with an ARP value of 777, and A-8 (Increase in material prices) with an ARP value of 696. From the results of the house of risk phase 2 risk mapping, 5 risk mitigation action plans were obtained, including: PA-1 (Creating a monitoring and sanctions system) with an ETDk value of 5,961, PA-2 (Creating a standard diary (buhas)) with an ETDk value of 3,331, PA-3 (Creating a complete checklist) with an ETDk value of 6,236, PA - 4 (Making adaptive cost estimates) with an ETDk value of 4,270, and PA-5 (Improving the effectiveness of communication with all parties) with an ETDk value of 8.427.
Perencanaan Perawatan Mesin Building Dengan Metode Reliability Centered Maintenance (RCM) Muhazir, Achmad; Sinaga, Zulkani; Septiadi, Resky Dwi
Jurnal Optimalisasi Vol 10, No 1 (2024): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v10i01.9263

Abstract

PT. Bridgestone Tire Indonesia is a tire manufacturing company. Machines that work continuously and lack of stock availability of machine spare parts cause damage and increase maintenance costs. To reduce the occurrence of damage and increase maintenance costs, it is necessary to have an optimal maintenance policy so that the machine can operate well. To overcome the problems in this research using the Reliability Centered Maintenance (RCM) method, the first step is determining the critical components on the machine, preparing the FMEA table based on the function data of the components and maintenance reports and calculating the Risk Priority Number (RPN), then calculating the MTTF and MTTR to determine maintenance and repair intervals and find optimal total maintenance costs. Machine building has the highest frequency of downtime so this research will focus on machine building components. The results of data processing show that the highest frequency of machine damage and total downtime is the cause of hose component failure due to poor hose quality and seal components becoming worn, causing increased frequency of damage, downtime and maintenance costs. Based on maintenance cost calculations using the RCM method, hose and seal components experienced a decrease in costs, namely hose components by 55.13% and seal components by 25.45%. The proposed building machine maintenance for hose and seal components in particular is to carry out scheduled tasks, scheduled exhaust tasks, and default actions with the task category of finding failures and results for maintenance time intervals for hose components of 280.81 hours and for seal components of 134.08 hours.
Implementasi Prediksi Penyakit Jantung Menggunakan Data Mining Untuk Dunia Kesehatan Arta, Mikhael Chandra; Anwar, Nur; Putri, Yulia Aneke; Suharjito, Suharjito; Asroll, Muhammad
Jurnal Optimalisasi Vol 10, No 1 (2024): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v10i1.9075

Abstract

Jantung merupakan organ vital manusia yang sering menjadi penyebab kematian tertinggi. Penyakit jantung dapat diketahui dengan cara pemeriksaan dokter atau sejumlah tes kesehatan. Saat ini, perusahaan perlu memprediksi karyawannya yang kemungkinan memiliki riwayat atau calon pengidap penyakit jantung untuk mengurangi risiko kematian. Tindakan yang dilakukan dapat menggunakan pembelajaran mesin. Pembelajaran mesin memang dapat membantu dalam identifikasi awal penyakit dan meningkatkan hasil pengobatan. Sistem ini mampu memprediksi yang dapat membantu prediksi diagnosis penyakit jantung secara cepat dan akurat. Penelitian ini bertujuan untuk prediksi diagnosis penyakit jantung secara cepat dan akurat dengan menggunakan algoritma terbaik. Algoritma yang digunakan untuk melakukan prediksi yaitu Decision Tree, Gradient Boosted, dan Random Forest. Untuk prediksi, atribut yang digunakan adalah usia, jenis kelamin, tekanan darah, kolesterol, gula darah, detak jantung, jenis sakit dada dan tambahan adalah hasil pemeriksaan fisik lainnya. Dari hasil yang diperoleh, Gradient Boosted adalah algoritma yang memiliki AUC, presisi dan recall tertinggi dengan 86.6%.
Pengendalian Risiko Kecelakaan Kerja Menggunakan Metode Job Sefety Analysis Pada Pekerjaan Glass Cleaning Di PT. KSO APS ISS Jawad, Aod Abdul; Nurrokhman, Agus
Jurnal Optimalisasi Vol 10, No 1 (2024): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v10i01.9209

Abstract

The KSO APS ISS company is one of the cleaning companies in Indonesia which is located in the Tangerang Banten area. In carrying out its work cycle operations, it uses a lot of chemicals, heavy level machines and potentially dangerous B3 materials. During work there are various potential and risk factors that cause work accidents and work-related illnesses. Company performance, especially in terms of work productivity, is often disrupted as a result of ignoring occupational safety and health rules in carrying out work. The aim of this research is to find out what factors cause work accidents and how to prevent or control risks in Glass Cleaning work in order to reduce the occurrence of work accidents. This research uses the Job Safety Analysis method. The Job Safety Analysis method is a way to look at work techniques and find dangers from the design of machines, equipment, materials, climate and work processes needed by workers to do their work. The research design used is qualitative which is used to describe explanations related to hazard identification, risk evaluation and risk control in glass cleaning work. The results of research using the JSA identification method contained no extreme and high risk jobs, 3 medium risk jobs and 5 low risk jobs.
Perencanaan Produksi UMKM dengan Menggunakan Pendekatan Metode Transportasi Saputra, Arie; Sandika, Frendi
Jurnal Optimalisasi Vol 10, No 1 (2024): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v10i1.9420

Abstract

Micro, Small and Medium Enterprises (MSMEs) are an important part of the Indonesian economy. Many micro, small and medium enterprises (MSMEs) are making new innovations in the fields of handicrafts, food and drinks, among others. The development of MSMEs faces demands that change every month. To meet this demand, they must carry out optimal production planning. Production planning and control can be used as a reference for determining production quantities and forecasting product demand. By carrying out good production planning and control, MSMEs can reduce or anticipate risks, thereby increasing their profits. Coconut jelly MSMEs are one of the businesses that are also affected by poor production planning. On average, in 2023 there will be an excess production of 150 pieces per month. For small and medium businesses (MSMEs), fluctuations of this magnitude are very disruptive to company finances. Effective production planning should be able to optimize the use of all organizational resources, including raw materials, materials, labor and finance. This article carries out production planning using a transportation method approach. Initial planning is carried out following a pattern of forecasting the number of requests in the future. Forecasting is carried out using 3 methods, namely single moving average, double exponential smoothing and trend analysis. Of these three methods, the one with the smallest Mean Square Error (MSE) value will be selected. Production planning will be outlined in the Master Production Schedule (JIP). Determination of JIP is based on the results of production planning through 2 alternatives, namely permanent and changing workforce. From the results of the transportation method approach, it was found that the minimum production cost was found in the variable labor alternative, namely IDR 178,326,000, there was a cost difference from the fixed labor alternative of IDR 1,451,200. The approach method used in this article still needs a lot of improvement, especially in terms of determining the cost of each production component which can be more dynamic. The approach that can be taken can use heuristic methods such as genetic algorithms. So, it is hoped that the results obtained can be closer to reality.

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