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Journal : Jurnal Optimalisasi

ANALISIS LEAN SERVICE UNTUK MENGURANGI WASTE PADA PERUSAHAAN DAERAH AIR MINUM (PDAM) TIRTA MOUNTALA ACEH BESAR Heri Tri Irawan; Iing Pamungkas; Arhami Arhami
Jurnal Optimalisasi Vol 4, No 2 (2018): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v4i2.1498

Abstract

Tirta Mountala Regional Water Company (PDAM) is a regional company that has a concentration in the field of water supply. This study aims to implement Lean Service at PDAM Tirta Mountala in an effort to reduce waste in the service of installing new pipe connections. The method used in the study uses Big Picture Mapping and Root cause analysis in finding the causes of waste. The study was conducted in several stages, namely preliminary observations then continued with determining the use of the methods used, collecting data, conducting data processing, analyzing the results of data processing and finally concluding the results of the research, as well as being reviewed from lean service theories, The Waste that occurs is Over Production, Defect, Unnecessary Inventory, Inappropriate Processing, Excessive Transportation, Waiting, Unnecessary Motion. While the critical waste that occurs in the service process is waiting with a weight of 0.36. Waste waiting is caused by mechanical power delay, material repair delay, delay in repairing pipelines passing through public spaces. By knowing the types of waste and critical waste in PDAMs, it is expected to reduce waste and customer satisfaction is fulfilled.
Penggunaan Moving Average dan Exponential Smoothing untuk Memprediksi Kebutuhan Beras Raskin di Kota Banda Aceh Heri Tri Irawan; Iing Pamungkas; Fitriadi Fitriadi; Arhami Arhami; Khairul Hadi; T.M Azis Pandria
Jurnal Optimalisasi Vol 6, No 2 (2020): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v6i2.2554

Abstract

This study uses moving average and exponential smoothing methods to predict the demand for Raskin rice in Banda Aceh. The Logistics Agency (Bulog) is a food institution in Indonesia that organizes a rice trading system, which functions to provide rice distribution services to the public. The fluctuation in demand for Raskin rice in Banda Aceh makes it difficult for Bulog to predict future needs. In addition, the excess supply of Raskin rice will also be very detrimental because rice is a staple that is perishable. Therefore, it is necessary to conduct research to predict the demand for Raskin rice in Banda Aceh. The results of forecasting or prediction by comparing two methods and three errors in forecasting accuracy, it can be concluded that the exponential smoothing method with α = 0.90 can be used to predict the demand for Raskin rice in Banda Aceh City. The prediction result of the demand for raskin rice in Banda Aceh is 92,407 tons, with an MAD error rate of 4.92, MSE 34.58, and MAPE 0.006%, or having the smallest value compared to the 7-month moving average method.
SIMULASI MONTE CARLO UNTUK MENENTUKAN KEANDALAN PADA BAGIAN BOILER DI PEMBANGKIT LISTRIK BERBASIS BATUBARA Iing Pamungkas; Heri Tri Irawan; Arhami Arhami; Muhammad Dirhamsyah
Jurnal Optimalisasi Vol 4, No 2 (2018): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v4i2.1505

Abstract

PT. PLN (Persero) currently uses a lot of coal-based power plants or Steam Power Plants (PLTU) in carrying out its operational activities. Aceh Province has a PLTU located in Nagan Raya Regency and is owned by PT. PLN (Persero). The Nagan Raya power plant has two generating units with an installed capacity of 2x110 Megawatts. The highest frequency of interference or damage experienced by the boiler section and this is very influential on the Nagan Raya PLTU production system. Performance evaluation in terms of reliability is needed to minimize interference or damage. The purpose of this study is to determine the level of reliability using Monte Carlo simulations on each important component of the boiler section. Monte Carlo simulations will be used to predict the time between failure or time to failure (TTF) and time to repair (TTR) so that the level of reliability can be predicted in the future. Monte Carlo simulations basically produce uniformly distributed random numbers (0.1) and then convert them into non-uniform distributions using the inverse transformation method. Monte Carlo simulation results on eight critical components in the boiler section obtained time to failure (TTF) obtained were 260 hours to 1312 hours with a reliability value of 30% to 42%. While the time to repair (TTR) is 1,57 hours to 2,26 hours with a reliability value of 22% to 41%.
Penjadwalan Produksi Paving Block Pada CV. Nibo Corporation Banda Aceh Heri Tri Irawan; Iing Pamungkas; Arhami Arhami
Jurnal Optimalisasi Vol 6, No 1 (2020): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v6i1.2063

Abstract

This paper uses the Palmer method to schedule paving block production in CV. Nibo Corporation Banda Aceh. CV. Nibo Corporation is engaged in the production of paving blocks located in the city of Banda Aceh. Problems faced by CV. Nibo Corporation often produces excess paving blocks than the number of orders that results in product accumulation in the storage area. The purpose of this study is to schedule paving block production in CV. Nibo Corporation. Paving block production scheduling in CV. Nibo Corporation will use the Palmer method. This research begins by calculating each standard time for each job. From the scheduling results, the comparison between the initial factory work schedule is nine hours of work in one day, and twenty-four working days in a month. While scheduling using the palmer method is six hours of work in one day and twenty-four working days in a month, or nine hours of work in one work day and seventeen days in a month. Using the palmer method can reduce the difference in production and orders every month from 31.000 to 5.944, or 3.000 per month, thereby reducing the accumulation of paving block products.
Perancangan Ulang Tata Letak pada Galangan Kapal Tradisional menggunakan Blocplan-90 Heri Tri Irawan; Bismi Khairijal; Iing Pamungkas; T.M. Azis Pandria; Arhami Arhami; Hasnita Hasnita; Risnadi Irawan
Jurnal Optimalisasi Vol 9, No 2 (2023): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v9i2.8325

Abstract

CV. Rasya Jaya is a traditional fishing boat manufacturing company located in Padang Seurahet, Kec. Johan Pahlawan, Aceh Barat Regency. The facility layout of CV. Rasya Jaya has several workstations that are not in the correct location for the production process or the relationship between related rooms. This results in inefficient and ineffective material handling, as well as reduced worker comfort. The poorly organized facilities also contribute to production constraints. Therefore, it is necessary to evaluate the production facility layout at CV. Rasya Jaya. The goal is to provide an alternative design for the production facility layout that is more efficient and effective in terms of the relationship between the production process flow and minimizing material flow in the production process. The purpose of this study is to determine the optimal layout at CV. Rasya Jaya using the Blocplan algorithm. Blocplan-90 is an algorithm for solving spatial layout problems that can handle both quantitative and qualitative data. Mathematical models within the design are developed with computer applications for models that work with the limitations of workstation shapes. Based on the results of the layout design of facilities at CV. Rasya Jaya, three main layouts were created: office layout, facility layout, and production layout. The total area of the three layouts is 1739 m2.