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Journal : Jurnal Optimalisasi

APLIKASI MATRIKS QUALITY FUNCTION DEPLOYMENT (QFD) PADA PERANCANGAN ULANG MEJA BELAJAR MINI Diana Khairani Sofyan; Amri Amri
Jurnal Optimalisasi Vol 3, No 5 (2017): Jurnal Optimalisasi
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (422.152 KB) | DOI: 10.35308/jopt.v3i5.275

Abstract

CV. Rapi Kana is a furniture company in Ule Reuleng North Aceh, the company produces cabinets, study chairs, tables, study tables and more. The chair and lecture desk is one of the most closely related factors in improving the quality of student learning. Discomfort in learning to make students less focused and tend to get tired quickly in doing tasks and lecture activities. The main cause lies on the desk used. The lesson used is less suitable for the student body size. Dissociation between study desk and student body size is one of the obstacles in the effort to improve the quality human resources. The impact of desks that arenot in accordance with body size can lead to many students experiencing fatigue. Nonconformity of the desk leads to feelings of discomfort (restlessness), lack of concentration, drowsiness, and so forth. In this case will be done research related to the design of the mini desk, where the study table produced by the company will be analyzed its shortcomings and advantages, followed by redesign for the desk. The design is adapted to the posture of the human body. The method used to start with the determination of product characteristics with Quality Function Deployment (QFD) method and also from the calculation of antropometry data so that the result of mini table design in accordance with consumer desire that is comfortable, effective and efficient.Keywords: Quality Function Deployment (QFD) method, Anthropomentry, Mini tabledesign
PENERAPAN SISTEM ANTRIAN PADA FASILITAS PELAYANAN PADA LOKET PENGAMBILAN OBAT Diana Khairani Sofyan; Amri Amri; Abdul Aziz
Jurnal Optimalisasi Vol 5, No 1 (2019): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v5i1.818

Abstract

Puskesmas has a counter service, because every patient at the puskesmas who will take the medicine is served through the counter. In general, each puskesmas has a minimum number of one counter according to service needs. The problem that occurs in the Puskesmas is that it always causes queues for patients. Queues that occur in the Kuala District Public Health Center are at the drug collection counter. The volume of arrivals is in the queue per day of 109, with a study time of 5 days. While at the drug collection counter, it only has one counter. The aim of the study was to find out whether the number of drug collection counters in the Puskesmas was optimal and to find out how many counters should be owned by the Puskesmas so that they could serve patients optimally. The method used in this study is a queuing model to determine the performance of drug collection counters. In addition simulation techniques are also used to provide an overview of a system to evaluate and improve system performance. From the results of calculations and simulations of the Arena, it was found that the number of optimal counters for drug collection counters was 4 counters. From the results of the calculation of simulation output, it can be seen that the simulation model scenario 2 is better than the simulation model scenario 1 and scenario 3, because in scenario 2 there are 4 counters with a waiting time of 0.8546 minutes, thus reducing the number of patient queues.
Analisis Biaya Kehilangan (LOSS COST) DARI Produk Air Minum dalam Kemasan (AMDK) Menggunakan Metode Poka Yoke Syarifuddin Syarifuddin; Diana Khairani Sofyan
Jurnal Optimalisasi Vol 2, No 3 (2016): Jurnal Optimalisasi
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (184.474 KB) | DOI: 10.35308/jopt.v2i3.209

Abstract

Quality is a common cause is natural to unite the functions of the business. One of the tools for quality improvement is Poka Yoke method. Poka Yoke is a technique to overcome and avoid simple mistakes that caused by humans or workers at the workplace. PT. Ima Montaz Sejahtera is one of the companies engaged in the production of bottled water (bottled water). Bottling line is a unit of production machinery which produces aqua medium 550 ml and large 1,500 ml consisting of three (3) main unit that is a bottle washing station, a water filling and a closure cap (capper). The problem that arises is the frequent occurrence of broken bottles and cups during the production of this may raise the cost of loss (loss cost) so as to reduce the profitability of the company. Based on these descriptions, it is necessary to observations oriented analysis (lost cost) in 550 ml of medium aqua products. Completion method to be used is the method of poka yoke. The results showed that the total lost cost products aqua medium 550 ml (September to August 2016) was 247,052,000, - where reject that occurred during the production process takes place is in the bottle and cap the cost of a bottle / unit amounted to Rp 1,200 and cap / unit Rp 80.The cost of damages from defective products is Rp 42,330,000, - with the cost of damages from defective cup is Rp 3,757,920, - bringing the total loss of Rp 46,087,920, -. In addition, the problem often occurs in capper unit wherein the corrective actions taken by the operator resulting in productivity stalled, problems that often occur is head capper unstable. The analysis showed that the largest percentage of the causes of errors often occur on the head capper unstable, operator of the less scrupulous and not focused when the production takes place, method of adjustment the capper unit that is not accurate and does not exactly head and chief bottle when fitting lid and the Inverter on a different machine.Keywords: Quality, Poka Yoke, Bottled water
PENYEIMBANGAN LINTASAN PRODUKSI VULKANISIR BAN DENGAN METODE LARGE CANDIDATE RULE (LCR) Diana Khairani Sofyan; Syarifuddin Syarifuddin; Sri Meutia; Islamiyati Islamiyati
Jurnal Optimalisasi Vol 5, No 1 (2019): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v5i1.819

Abstract

CV. Barona Vulkanisir Ban is a company engaged in tire remanufacturing, which is made to order. The problem that occurs in the company is that there are several divisions of unbalanced workload, in the production process at work stations. So that production is not carried out properly, there is a buildup of materials at several work stations. To solve this problem a line balancing process is carried out. The line balancing process is carried out using the Largest Candidate Rule (LCR) method, with the aim of obtaining a good trajectory balance design, to increase production efficiency and provide an overview of the different conditions of work stations before and after trajectory balancing. The results show that the method the best trajectory balance design with trajectory efficiency results of 58%, balace delay of 42%, smoothing index 156.58 minutes and work stations numbering 3. These results are certainly better than the previous conditions, where the track efficiency level is 21.74%, balance delay 78.26 % and smoothing index 463.58 minutes.
PENERAPAN METODE ANTRIAN DALAM MENENTUKAN FASILITAS YANG OPTIMAL PADA SPBU MAWADDAH Diana Khairani Sofyan; Sri Meutia
Jurnal Optimalisasi Vol 3, No 5 (2017): Jurnal Optimalisasi
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (318.983 KB) | DOI: 10.35308/jopt.v3i5.273

Abstract

Gas stations Mawaddah Is one of the gas stations located in the Village Batuphat East Lhokseumawe. The gas station has 5 oil pumps consisting of premium with two pumps, diesel consists of two pumps, and pertamax consists of one pump. Preliminary data have been made regarding the arrival rate of vehicles in each pump, which is a two-wheeled premium filling pump of 195 vehicles, four or more 166 wheels or four wheels filling pumps, four or more diesel fuel pumps of 156 and a feeding pump of 138 vehicles. High vehicle arrival rate resulted in queue. To calculate the level of service has never been done so it is not known the maximum time for service on each pump. The research method used is queuing model related to arrival rate and service level, with result of research which obtained is vehicle arrival rate at each pump that is 2 wheel of premium gasoline pump is 2.59 minutes. The premium 4 wheels charging pump is 6.98. The 4 wheelers diesel fuel pump is 5.97 minutes and the first charging pump is 6.65 minutes with the facility number 1. Vehicle service rates of premium 2 and 4 wheelers are 15.52 minutes and 14.11 minutes, 4 wheel diesel fuel pump is 14.21 minutes and the first feed pump is 13.55 minutes with scenario design on each pump is Scenario 1 with 2 pumps, Probability of medium system empty 0.87500, Number of subscribers in the system and number of customers waiting in the queue of each 1 customer, the average customer time in the system 0.06696 minutes and waiting time as long as the customer in the queue 0.00030 minutes.Keywords: Queue, facility, arrival rate, service rate.