Analisis Kinerja Sistem Antrian

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ANAL..ISIS KINERJA SISTEM ANTRIAN
PADA INDUSTRI PENGOLAHAN FILLET IKAN BEKU
(Studi Kasus di PT.GTS, Jawa Barat)

QUEUEING SYSTEM PRODUCTIVITY ANALYSIS IN FROZEN FISH FILLET PROCESS INDUSTRY (CASE STUDY AT PT. GTS, WEST JAVA) Machfud dan Arviano Haryanto Sahar
Departemen Teknologi Industri Pertanian - FATETA IPB

ABSTRACT Fishing industries are one of Indonesia huge source for Indonesia capital income. and Indonesia is one of the biggest exporter offisheries commodity in the global market. In order to maintain and to expand its market, a study based on modern science is held to help the development offishing industry in Indonesia. Performance of queuing system in a production line can be an indicator for effectivity and efficiency in the production system. PT. GTS is one ofIndonesian companies that has a well known reputation in exporting frozen fish fillet. Analysis technique that was used in this research was Monte Carlo simulation and /ine balancing model. Queuing system in the frozen fish fillet production line is composed by 13 work stations and 4 ofthe stations are a join work station (which handle material from all ofproduction line). This queuing system simulation named SAPFIB "Sistem Antrian Produksi Fillet Ikan Beku ", consists of three models and four sub models. Those models are queuing model that simulate queuing condition of receiving station to panning and after curing station (Model A), line balancing model atfreezing station (Model B). and model that simlilate queuing system at packing station (Model C). The result for the main model simulation in the real state are balking in after curing station, queuing in the freezing station and there is no queuing in packing station. In order to improve the performance ofproduction line, two scenario ofqueuing system were developed. The /11.'0 scenario are changing the rate of incoming material (X's scenario) and changing the composition ofoperator in each work station (Y's scenario). The simulation of X's as well as Y's scenario showed that those scenario increase the server lIfilization and the processed material and the balking condition became zero. The )" s scenario is better than X's scenario in term of the queuing condition. The Y's scenario reduced the icc's cost and speed lip the flow fime.

Ke),ll'ordl': Queuing, Simula(ion, Frozen Fish Fillet
PENDAHULLJAN
Sebagai negara kepulauan dengan potensi perikanan laut sebesar 6,7 juta ton per lahun Indonesia merupakan salah satu negara pengekspor terbesar komoditas perikanan dunia. Selama periode 1999-2002 produk domestik bruto (POB) sub sektor perikanan mengalami kenaikan sebesar 21,72%. (Oepartemen Kelautan dan Perikanan, 2002). Industri perikanan merupakan salah satu sektor yang menjadi primadona sebagai industri penyumbang sumber devisa Indonesia (Oepartemen Perindustrian, 2007). PT. GTS merupakan salah satu perusahaan yang bergerak di industri perikanan yang berorientasi ekspor dengan salah satu produk unggulannya fillet ikan beku. Oi tengah persaingan global, industri dituntut untuk meningkatkan produktivitasnya. Salah satu faktor penentu produktivitas adalah kelancaran proses produksi dan pemanfaatan sumberdaya produksi yang efisien dan efektif, dan hal ini dilihat dari terjadinya kondisi antrian aliran bahan dalam proses produksL Terjadinya kondisi antrian akan memperpanjang "lead time" yang pada gilirannya menurunkan kinerja rantai pasok suatu industri (de Treville, e( al 2004). J. Tek. Ind. Pert. Vol. 18(2), 118-126

Pada indus!!'i pengolahan fi /let ikan beku, terjadinya antrian dalam aliran proses produksi beresiko terhadap mutu prod uk yang dihasilkan. Pendekatan analitis yang dapat digunakan untuk memecahkan masalah sistem aliran bahan yang bersifat acak secara efektif adalah dengan menggunakan anal isis garis antrian atau teori antrian (Machfud, 1999). Teori Antrian telah diterapkan secara luas pada berbagai jenis industri dalam rangka meningkatkan efektivitas sumberdaya dan dalam...
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