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Analisis Six Big Loss Pada Mesin Pengolahan Minyak CPO dengan Metode OEE (Studi Kasus: di PT. Fajar Baizury and Brother) Saputra, Arie; Muzakir, Muzakir; Suryani, Munti
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.v6i1.1882

This study discusses determining each CPO oil processing machine in the production process using the Overall Equipment Effectiveness method, determining the percentage of each factor contained in the six major losses and determining the dominant factors needed in the CPO oil processing machine. Based on the results of the study showed that the OEE value of each of the CPO oil processing machines OEE value on the strelelizer was 71.41%, for the Thesher / Thickening machine at 75.64%, for the Screw Press machine at 68.21 and OEE value on the clarification machine is 78.16% while the six major loss factor has the greatest proportion of time loss and needs to be repaired is reducing the speed of loss that is equal to 84.62%, this condition shows the ability of the press and clarification machine in achieving the target production and in achieving the ideal conditions that is yaitu85%. Percentage of the magnitude of the factors contained in the six major losses, namely the strelelizer machine due to the Process of Disability Losses and Yield Reduction with the same percentage level that is equal to 49.03%, on the Threser machine caused by Reduction of Speed Loss with a percentage level of 72.70%, on Press machines Generated by Reduced Speed Loss with a percentage level of 34.50% and Clarification machines caused by Reduced Speed Loss with a percentage level of 84.62%, from the four CPO processing machines a factor of six large losses that is, on a disadvantage machine, this is difficult to avoid because of this deficiency also because of the poor quality of CPO oil due to free fatty acid levels and high water content. The dominant factor influencing the effectiveness of the use of CPO oil processing machines that occurred during the period August 2018-July 2019 with the OEE method on the Screw Press machine that is equal to 73.85% as expected based on world class OEE standards (85%) using with other machines this is caused by the speed and pressure when processing FFB is reduced / unstable, the press machine that is used often to repair the damage produced does not meet the expected quality and quantity specifications.

ANALISIS KINERJA KANTOR UNIT BANK RAKYAT INDONESIA (BRI) CABANG MEULABOH MELALUI PENDEKATAN METODE DATA ENVELOPMENT ANALYSIS (DEA) Arie Saputra
Jurnal Optimalisasi Vol 2, No 2 (2016): Jurnal Optimalisasi
Publisher : Universitas Teuku Umar

Efficiency is one of the important performance indicators in measuring the performance of an organization, determination of process efficiency by comparison to some of the units of measurement into a proportional response to the question of overall performance object pengmatan unit. This study aims to determine the value of the relativity of a banking organization's efficiency through approaches diunit Data Envelopment Analysis (DEA). Values relative efficiency of a unit obtained by the ratio of input and output used to see the amount of weight of each unit when there is a process of comparison (benchmarking). Adapaun data used in this study are primary data derived from Bank BRI branch office unit that Meulaboh Cut Nyak Dien office units, office units and office units Johan Pahlawan Teuku Umar in the form of annual financial reports for two years (2014 and 2015). For the study variables divided into two input variables consisting of the number of employees, the number of deposits, the number of customers and the amount of operating costs (BOP) while the output variable is the number of loans and total income (revenue). By using the DEA method can know the amount of the value of the relative efficiency of the three units of Bank BRI branch offices in Meulaboh, for the year 2014 Cut Nyak Dien office units, office units and office units Johan Pahlawan Teuku Umar obtain efficient relative value = 1, which means efficient. Whereas in 2015 the office unit Johan Pahlawan obtain the relative efficiency value = 0.81, which means less efficient. In order to achieve the level of efficiency relative = 1, then the office of Johan Pahlawan unit should increase the number of variables output by 41.18%. where an increase in the output variable Johan Pahlawan office unit for the amount of credit granted is Rp. 910 515 743 and for the income (revenue) amounting to Rp. 2738029201.Keywords : Bank Performance, Data Envelopment Analysis (DEA), relative efisiensi.

Penentuan Kinerja Usaha Kecil Menengah (UKM) Coffee Shop dengan Metode Data Envelopment Analysis (DEA) dan Comparative Performance Index (CPI) (Studi Kasus: 8 Coffee Shop di Meulaboh, Aceh Barat) Arie Saputra; Muzakir Muzakir; Sofiyanurriyanti Sofiyanurriyanti; Fitriadi Fitriadi; Ida Nopiyanti
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.v6i2.2662

This study discusses determining the performance of a coffee shop Small and Medium Enterprises (UKM) with the Data Envelopment Analysis (DEA) and Comparative Performance Index (CPI) method, determining performance is an important thing that must be done by a coffee shop UKM to win the competition with other coffee shop UKM. . The calculation of performance determination uses Data Envelopment Analysis (DEA), which is able to evaluate the relative efficiency level of a coffee shop unit, and which is non-parametric and multifactorial, both output and input. This study also uses the calculation of determining the performance of the Comparative Performance Index (CPI) as an alternative system in selecting coffee shop performance. This research was conducted at 8 coffee shop units in Meulaboh, West Aceh. This research was conducted to see the performance of the coffee shop which is still growing rapidly until now, considering that until now coffee shops are increasingly in demand by various groups. Attributes in determining performance are the number of customers, capital, income / profit, salary, number of workers and a questionnaire. From the results of the calculation of the Data Envelopment Analysis (DEA) all performance units are all efficiency because they get a value of 1 (100%) and in the Comparative Performance Index (CPI) calculation there are different rankings, namely warkop mae first rank, second rank arab coffee, third rank kupi atjeh ulee kareng, fourth in abudel's coffee and bistro, fifth in chaplin cafe & restaurant, sixth in gampong coffee shop and bistro, seventh in one cafe, and eighth in praja coffee.

OPTIMALISASI PENENTUAN SUMBER PASOKAN KOPI ARABIKA GAYO MELALUI PENDEKATAN HIRARCHICAL CLUSTERING DATA MINING Arie Saputra
Jurnal Optimalisasi Vol 3, No 4 (2017): Jurnal Optimalisasi
Publisher : Universitas Teuku Umar

Gayo coffee scattered in the mountains and being in two districts of the central highlands and Central Aceh district has become the center of world attention. Gayo Arabica coffee has a unique manifold and the added value created by the mountainous nature Gayo. This factor makes Gayo Arabica coffee has the added value that is not replaceable by other similar commodities. The success of the stakeholders Gayo coffee obtain certification which is organic, fairtrade, coffee practice and Geographic indication that can be a proof of the worldwide recognition of the quality and added value of this coffee. The average price of the last on the coffee harvest season in March 2012 ranged between Rp 100.000,- until Rp 110.000,- in each Kg grean bean on exporter level. Determination of clusters of farmers the right so that the quality and price of supplies could be predicted well by the cooperative as exporters are very important. These routes and ketelusuran origin coffee blend in one location with other location mebuat coffee quality decreases. Mapping the supply of unclear origin uniformity of the quality of the coffee making is difficult to determine. This effect on selling prices decreased overall coffee farmers to the detriment of farmers with good quality coffee. The good name of the cooperative from the viewpoint of importers deteriorate as evidenced by a decrease in the purchase price of the importer in the contract.The sampling process quality coffee supply also becomes difficult because unhomogenity supply region. Supply region is crucial to the quality of the coffee due influenced the position and height of the land. Thus, this research is expected to help formulate clusters of farmers so that the quality and price of coffee could be improved both in terms of farmers and exporters. The last hope of course the welfare of farmers and other stakeholders could be better.Keywords: Data Mining, Optimization, Gayo Arabica Coffee, Supply Chain

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

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.

OPTIMISASI KINERJA MESIN PENGOLAHAN TANDAN BUAH SEGAR MENGGUNAKAN METODE RCCP (STUDI KASUS PT. KARYA TANAH SUBUR) Abdul Malik Ali; Arie Saputra; Junianto Putra
Jurnal Optimalisasi Vol 3, No 4 (2017): Jurnal Optimalisasi
Publisher : Universitas Teuku Umar

Successful planning and production controls require active capacity planning, in order to be able to meet the established master production schedules. Lack of capacity will lead to production failures, delays in delivery to customers, and loss of confidence in the formal system resulting in a decreased corporate reputation. Overcapacity will result in low resource utilities, increased costs, product prices become competitive, decreased profits. Standard time is a measure of completion of a production process for one unit of product with justified clearance. The standard time required to process 40 Ton bunches of palm fruit sterilizer is 94.70 minute/unit, for thresher machine 73,31 minutes/unit, for screw press machine 96,48 Minutes / unit, and oil purification machine 147,13 minute/unit. Efficiency is the ability of the machine to produce a product. The efficiency of sterilizer machine is 88.00%, for thresher machine is 88.00%, for screw press machine is 88.80%, and oil purification machine is 74.00%. Machine utility is the percentage of machine usage in units of time. The sterilizer machine utility is 81,33%, for thresher machine is 87,35%, for screw press machine is 86,88%, and oil purification machine is 83,18%. Capacity is the rate of output per unit time indicating that the facility theoretically has the ability to produce it. The sterilizer machine capacity is 81.33 ton/hour, for thresher bumper machine is 45,08 ton/hour, for screw press machine is 119,09 ton/hour, and oil purification machine is 79,49 ton/hour. The average production capacity of machine taken for two years is 27.61 ton/hour with machine capacity optimization level of 51,88 ton/hour.Keywords : Production Planning and Control, Standard Time, Capacity (RCCP).

Analisis Kinerja Pendistribusian Pakan Ternak dari Limbah Ikan Berdasarkan Model Performance of Activity (POA) dan Supply Chain Operation Reference 9.0 di UD. Ridwan Arie Saputra; Nissa Prasanti; Trinaljo Sagala; Fitriadi Fitriadi
Jurnal Optimalisasi Vol 7, No 1 (2021): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v7i1.2639

UD.Ridwan is one of the community businesses in West Aceh, precisely in Ujong Kalak, which processes fish waste into animal feed. UD.Ridwan in its business activities has experienced several problems in the part of the supply of raw materials that are not fixed, because the amount of fish waste is not fixed per day. UD. RIDWAN in its production activities, every 1 kg of raw materials used can produce 761 grams of feed product. As a result, the results of feed production are also not fixed, and cannot fulfill orders from consumers, so there is often a mismatch between demand and orders. This will lead to unfulfilled consumer demand and delays in distribution to each distribution center (DC). UD. Ridwan distributes his products to existing DCs, namely: Medan, Banda Aceh, and Lhokseumawe. To fix the losses faced by the company, it is necessary to measure the performance of the supply chain first. There are several models of supply chain performance measurement systems, namely: POA (Performance of Activity) and SCOR (Supply Chain Operation Reference). POA is a model used to measure the performance of activities that are part of the process in the supply chain. Activity performance is measured in various dimensions, namely: costs, time, capacity, capabilities, productivity, utilization and outcomes. Meanwhile, SCOR is basically a model based on a process

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

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.

OPTIMALISASIPENENTUAN SUMBER PASOKAN KOPI ARABIKA GAYO MELALUI PENDEKATAN HIRARCHICALCLUSTERING DATA MINING Arie Saputra
Jurnal Optimalisasi Vol 1, No 1 (2015): Jurnal Optimalisasi
Publisher : Universitas Teuku Umar

Gayo coffee scattered in the mountains and being in two districts of the central highlands and Central Aceh district has become the center of world attention. GayoArabicacoffeehas a uniquemanifoldandthe added valuecreatedby themountainous natureGayo. This factor makes Gayo Arabica coffee has the added value that is not replaceable by other similar commodities. The success of the stakeholders Gayo coffee obtain certification which is organic, fairtrade, coffee practice and Geographic indication that can be a proof of the worldwide recognition of the quality and added value of this coffee. The average price of the last on the coffee harvest season in March 2012 ranged between Rp 100.000,- until Rp 110.000,- in each Kg greanbean on exporter level. Determination of clusters of farmers the right so that the quality and price of supplies could be predicted well by the cooperative as exporters are very important. These routes and ketelusuran origin coffee blend in one location with other location mebuat coffee quality decreases. Mapping the supply of unclear origin uniformity of the quality of the coffee making is difficult to determine. This effect on selling prices decreased overall coffee farmers to the detriment of farmers with good quality coffee. The good name of the cooperative from the viewpoint of importers deteriorate as evidenced by a decrease in the purchase price of the importer in the contract.The sampling process quality coffee supply also becomes difficult because unhomogenity supply region. Supply region is crucial to the quality of the coffee due influenced the position and height of the land. Thus, this research is expected to help formulate clusters of farmers so that the quality and price of coffee could be improved both in terms of farmers and exporters. The last hope of course the welfare of farmers and other stakeholders could be better.Keywords : Data Mining, Optimization, Gayo Arabica Coffee, Supply Chain

Analisis Six Big Loss Pada Mesin Pengolahan Minyak CPO dengan Metode OEE (Studi Kasus: di PT. Fajar Baizury and Brother) Arie Saputra; Muzakir Muzakir; Munti Suryani
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.v6i1.1882

This study discusses determining each CPO oil processing machine in the production process using the Overall Equipment Effectiveness method, determining the percentage of each factor contained in the six major losses and determining the dominant factors needed in the CPO oil processing machine. Based on the results of the study showed that the OEE value of each of the CPO oil processing machines OEE value on the strelelizer was 71.41%, for the Thesher / Thickening machine at 75.64%, for the Screw Press machine at 68.21 and OEE value on the clarification machine is 78.16% while the six major loss factor has the greatest proportion of time loss and needs to be repaired is reducing the speed of loss that is equal to 84.62%, this condition shows the ability of the press and clarification machine in achieving the target production and in achieving the ideal conditions that is yaitu85%. Percentage of the magnitude of the factors contained in the six major losses, namely the strelelizer machine due to the Process of Disability Losses and Yield Reduction with the same percentage level that is equal to 49.03%, on the Threser machine caused by Reduction of Speed Loss with a percentage level of 72.70%, on Press machines Generated by Reduced Speed Loss with a percentage level of 34.50% and Clarification machines caused by Reduced Speed Loss with a percentage level of 84.62%, from the four CPO processing machines a factor of six large losses that is, on a disadvantage machine, this is difficult to avoid because of this deficiency also because of the poor quality of CPO oil due to free fatty acid levels and high water content. The dominant factor influencing the effectiveness of the use of CPO oil processing machines that occurred during the period August 2018-July 2019 with the OEE method on the Screw Press machine that is equal to 73.85% as expected based on world class OEE standards (85%) using with other machines this is caused by the speed and pressure when processing FFB is reduced / unstable, the press machine that is used often to repair the damage produced does not meet the expected quality and quantity specifications.

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