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All Journal JIEMS (Journal of Industrial Engineering and Management Systems)
Panca Jodiawan
Program Studi Teknik Industri, Universitas Bunda Mulia, Jakarta
Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Perancangan Ulang Tata Letak Pasar Johar Baru untuk Mengurangi Kepadatan Lalu Lintas dalam Pasar Helena Sisilia Ratna Soetopo; Hendy Tannady; Filscha Nurprihatin; Panca Jodiawan
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 10, No 1 (2017): Journal of Industrial Engineering and Management Systems (JIEMS)
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v10i1.34

Abstract

The existance of Traditional Market is still irreplacable even by Modern Market which grow rapidly in this decade. This result comes from an observation showing that a lot of people still come and do transactions in Traditional Market. Johar Baru Market is of Traditional Market located in Central Jakarta. This market is supposed to accomodate 43.509 citizens who live in Administrative Village Johar Baru, Central Jakarta. The research utilizes data mining, particularly Market Basket Analysis methods to find the pattern of product sets association. From analyzed pattern, the research is continued by determining the eficient and efective layout in hope of reducing any congestions occured in Market. The result is to group vegetable sellers which currently spread over 17 blocks into 9 blocks and are placed at south of the market, to group fruit sellers which currently spread over 9 blocks into 4 blocks and are placed at south of the market, to group chicken sellers which currently spread over 7 blocks into 5 blocks and are placed at west of the market, to group meat sellers which currently spread over 5 blocks into 4 blocks and are placed at north of the market, to group fish sellers which currently spread over 7 blocks into 4 blocks and are placed at west of the market, to group primary substance sellers which currently spread over 13 blocks into 6 blocks and are placed at east of the market, to group Tofu and Fermented Soybean sellers which currently spread over 7 blocks into 3 blocks and are placed at east of the market, to group coconut sellers which currently spread over 3 blocks into 2 blocks and are placed at north of the market, to group food sellers which currently spread over 8 blocks into 5 blocks and are placed at east of the market, and to group processed food sellers which currently spread over 4 blocks into 2 blocks and are placed at north of the market.Keywords: Johar Baru Market, Traffic Density, Market Basket Analysis
Analisis Distribusi Waktu Kerusakan Mesin pada Lini Produksi Cylinder Comp K-XX (Studi Kasus: PT XYZ) Gidion Karo-Karo; Panca Jodiawan
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 9, No 1 (2016): Journal of Industrial Engineering and Management Systems (JIEMS)
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v9i1.129

Abstract

Technologies development has led industries to the usage of machinery. It certainly will give more output to increase the responsiveness of customers’demand. However, as a machine has a lot of advantages, it will also bear some disadvantages which one of them is downtime issue. A big amount of downtime in a machine will decrease the production overall efficiency. Efforts have been made since a long time ago to overcome downtime issue which one of them that is frequently used is preventive maintenance. Preventive maintenance planning can be implemented if reliability assessment has been made on the related machine, so the preventive maintenance interval can be determined. At XYZ’s corporation, there are two machines which were determined as the object for these report, RB037 and HO012P. Time Between Failure (TBF) of RB037 follows the normal distribution with mean equals to 171,22, standard deviation equals to 107,003, and has an increasing hazard rate. In the other side, HO012P follows the Weibull distribution with shape characteristics equals to 3,067 and scale characteristics equals to 577,96 and has an increasing hazard rate too. Between these two machines, RB037 has bigger hazard rate than HO012P, so further preventive maintenance should be planned well.Keywords: Downtime, Preventive Maintenance, Reliability.
Co-Authors Gidion Karo-Karo Helena Sisilia Ratna Soetopo Hendy Tannady Nurprihatin, Filscha