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J@TI (TEKNIK INDUSTRI)

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Published by Universitas Diponegoro

ISSN : - EISSN : 25021516 DOI : -

Core Subject : Engineering,

Industrial & Manufacturing Engineering

J@ti Undip: Jurnal Teknik Industri [e-ISSN 2502-1516] merupakan jurnal nasional yang mengangkat tulisan-tulisan penelitian dalam disiplin ilmu teknik industri. Pertama kali terbit sejak tahun 2006 hingga saat ini dengan frekuensi terbit tiga (3) kali dalam setahun. Setiap edisi terbitan berisi 8 artikel jurnal. Terbit setiap Januari, Mei, dan September.

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Articles 6 Documents

Search results for , issue "Vol 16, No 3 (2021): September 2021" : 6 Documents clear

PENGURANGAN RISIKO MUSCULOSKELETAL DISORDERS PADA AREA MESIN LASER PERFORATOR DI PERUSAHAAN ROKOK MENGGUNAKAN OWAS DAN QFD Hery Hamdi Azwir
J@ti Undip: Jurnal Teknik Industri Vol 16, No 3 (2021): September 2021
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Di dalam perusahaan produksi rokok ini terdapat sebuah mesin laser perforator. Setelah pemasangan mesin laser perforator 50 timbul masalah yang berhubungan dengan gangguan muskuloskeletal. Saat dilakukan wawancara, operator mengeluhkan adanya nyeri punggung bawah karena penanganan material dilakukan secara manual. Setelah dilakukan analisis dengan metode OWAS pada dua kegiatan bongkar muat ditemukan masalah yang berhubungan dengan gangguan muskuloskeletal. Dari hasil analisis ditemukan bahwa aktivitas pemuatan (loading) dikategorikan sebagai tindakan korektif 3 artinya postur tubuh berpengaruh sangat merugikan pada sistem muskuloskeletal, sedangkan kegiatan pembongkaran (unloading) termasuk tindakan korektif 2 yang tidak berpengaruh nyata terhadap sistem muskuloskeletal. Selain itu, analisis gaya tekan dilakukan hanya untuk aktivitas pembebanan terhadap gaya tekan total yang bekerja pada L5/ S1. Gaya tekan untuk aktivitas pembebanan adalah 7.186,22 Newton atau lebih dari dua kali lipat dari batas aman maksimum 3.400 Newton. Perbaikan dilakukan dengan menggunakan metode QFD. Sebagai solusinya adalah dibuat troli. Troli tersebut mampu mereduksi gaya tekan total pada aktivitas pembebanan menjadi 3.180,52 Newton dan berhasil mengubah menjadi kategori tindakan korektif 1. Abstract[REDUCTION OF MUSCULOSCELETAL DISORDERS RISK ON LASER PERFORATOR MACHINES AREA IN CIGARETTE COMPANIES USING QFD AND OWAS] Inside this cigarette production company, there is a laser perforator machine. After the installation of the laser perforator machine 50, problems related to musculoskeletal disorders arise. During the interview, the operator complained about low back pain due to manual handling of the material. After analyzing the OWAS method on two loading and unloading activities, problems were found related to musculoskeletal disorders. It was found that the loading activity was categorized as 3 meaning that posture had a very detrimental effect on the musculoskeletal system. Meanwhile, unloading activities included category 2 which had no significant effect on the musculoskeletal system. In addition, the biomechanical analysis was carried out only for the loading activity against the total compressive force acting on L5 / S1. The compressive force for loading activity is 7,186.22 Newton or more than twice the maximum safe limit of 3,400 Newton. Repairs were made using the QFD method. The solution is to make the moving trolley. The moving trolley is able to reduce the total compressive force on the loading activity to 3,180.52 Newton and also, reduce the level to category 1.Keywords: biomechanics; musculoskeletal disorders; Ovako Working Posture Analysis System; OWAS; Quality Function Deployment; QFD; Trolley

ANALISIS PENGENDALIAN PERSEDIAAN AUX RAW MATERIAL MENGGUNAKAN METODE MIN-MAX STOCK DI PT. MITSUBISHI CHEMICAL INDONESIA Arfan Bakhtiar; Salsabila Audina
J@ti Undip: Jurnal Teknik Industri Vol 16, No 3 (2021): September 2021
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

PT. Mitsubishi Chemical Indonesia merupakan perusahaan yang bergerak di bidang industri polyester yang memproduksi Purified Terephthalic Acid (PTA) terbesar di Indonesia. PTA adalah suatu senyawa yang tidak tersedia di alam yang dibuat dari sintesa kimia. Terdapat auxiliary raw material yang diperlukan untuk membantu proses produksi PTA agar dapat berjalan dengan lancar, seperti Hydrobromic Acid (HBr) dan Soda Ash Dense (Na2CO3). Perusahaan belum memiliki jumlah safety stock padahal perusahaan harus mengendalikan persediaan auxiliary raw material agar dapat menghindari kekurangan dan kelebihan bahan baku yang menyebabkan perusahaan dapat mengeluarkan biaya lebih banyak. Hasil perhitungan memperlihatkan bahwa metode min-max stock menunjukan jumlah safety stock bahan baku Hydrobromic Acid yaitu sebesar 17,5 ton dan untuk Soda Ash Dense yaitu sebesar 5,41 ton. Penentuan jumlah persediaan antara kebijakan perusahaan dengan hasil perhitungan metode min-max stock memiliki beberapa perbedaan. Dari perbedaan tersebut, perusahaan dapat menghemat total biaya persediaan sebesar Rp 7.550.000,00 untuk Hydrobromic Acid dan Rp 11.221.224,16 untuk Soda Ash. Frekuensi pemesanan yang terlalu sering dengan ukuran pemesanan yang besar menyebabkan total biaya persediaan menjadi tinggi. Dari hasil tersebut perusahaan perlu menerapkan metode min-max stock untuk mengendalikan persediaan bahan baku supaya dapat menghemat biaya pengeluaran. Abstract[Inventory Control Analysis of Aux Raw Material Using Min-Max Stock Method in Mitsubishi Chemical Indonesia Company] Mitsubishi Chemical Indonesia is a company engaged in the polyester industry that produces the largest Purified Terephthalic Acid (PTA) in Indonesia. PTA is a compound that is not available in nature, so it is made by chemical synthesis. There are auxiliary raw materials that are needed to help the PTA production process, so it can run well, such as Hydrobromic Acid (HBr) and Soda Ash Dense (Na2CO3). The company don’t have the safety stock even though the company should control the aux raw material inventory to avoid the company to run out of stock or overstock, that causes the company to spend a lot of money. The calculations result shows that the amount of the safety stock for Hydrobromic Acid is 17.5 tons and for Soda Ash is 5.41 tons. The determined number of inventories between company policy and the calculation of the min-max stock method have several differences. From those differences, the company can save the total inventory cost amounted at IDR 7.550.000,00 for Hydrobromic Acid and IDR 11.221.224,16 for Soda Ash. High frequency of orders with a large order size can cause the total inventory cost to be high. From that result, the company needs to apply a min-max stock to control inventory and to save money on expenses.Keywords: inventory; min-max stock method; out of stock; overstock; TIC

FUZZY FMEA APPLICATION TO IDENTIFICATION RISK IN-PROCESS PRODUCTION OF TOYOTA HI-ACE WIRING HARNESS PRODUCT Diah Septiyana
J@ti Undip: Jurnal Teknik Industri Vol 16, No 3 (2021): September 2021
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

In product manufacture, the high failure rate problem of produce product is the number of product defects. Several types of defects have a high enough percentage. To solve this problem, we need to identify the failures and to get the assessment information of the three risk factors. Our research using the traditional FMEA method at the production of Wiring Harness products to shows the current condition of various modes of failure in those areas. This study focuses on implementing fuzzy FMEA to identify the potential risks that may occur along with the assembling of the Wiring Harness process. The fuzzy FMEA approach is preventing product and process problems before they occur, this paper is also expected to result in some mitigation effort that can be applied to improve the Wiring Harness production process. With the Fuzzy FMEA method, we have found the highest FRPN value that shows the highest defect such as damage insulation is 8.5, damage terminal is 8.5, and the damaged part is 8.5 and the highest RPN from the traditional FMEA is damage insulation (324). To solve this problem, we propose to use the fishbone diagram and give suggestions for improvements to the highest failure modes that are damaged insulation.

ONLINE PRICING FOR SMALL MEDIUM ENTERPRISES’ PRODUCTS IN THE EX-LOCALIZATION OF DOLLY SURABAYA Ig. Jaka Mulyana; Ivan Gunawan; Dian Trihastuti; Yehezkiel Prakoso Putra Yunen; Dwi Agustin Nuriani Sirodj
J@ti Undip: Jurnal Teknik Industri Vol 16, No 3 (2021): September 2021
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Numerous Small and Medium Enterprises (SMEs) do not have a basic method in pricing decisions. Many times, this decision comes up based on an intuitive probe instead of a detailed analysis. This could lead to marketing problems, which may result in disruptions of financial liquidity. This also applies to SMEs wishing to sell products through the online channel. They need a proper pricing strategy, considering its different marketing strategies. Sales made through both offline channels (conventional stores) and online channels are known as Dual-Channel Supply Chain (DCSC). It is argued that the pricing decision at DCSC needs to consider consumer preferences in selecting the sales channel. One assumption commonly adopted in the DCSC pricing model is that the lost value if consumers purchase products through online channels. Therefore, the pricing decision for the online channel should be cheaper than the price on the offline channel. This study aims to assist SMEs in the ex-localization of Dolly in Surabaya in determining the price of products to be sold through online channels. Three types of products: batik, chips, and leather shoes were selected as research samples to represent the product groups: craft, fashion, and processed food. This study proposes an optimal online price strategy through experiments with a mathematical model. Model parameters, namely consumer preferences in choosing sales channels, are obtained through surveys. Apart from that, surveys are also used to reveal which platforms consumers are interested in shopping online. Shopee and Instagram were chosen by respondents as the most popular marketplaces and social media for online shopping. Finally, the online prices proposed for the batik product are IDR 82,500-IDR 66,000; chips Rp7,620-Rp6,336; and leather shoes Rp.103,800-Rp82,200.

PENJADWALAN DISTRIBUSI BBM UNTUK SELF PROPELLED OIL BARGE (SPOB) BERBASIS METODE ANALYTICAL HIERARCHY PROCESS (AHP) Pitarsono Yulihartanto
J@ti Undip: Jurnal Teknik Industri Vol 16, No 3 (2021): September 2021
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Pelaksanaan kegiatan operasional di area offshore pada perusahaan eksplorasi dan eksploitasi minyak dan gas bumi membutuhkan bahan bakar yang cukup banyak. Bahan bakar ini sebagian besar digunakan untuk mobilisasi berbagai jenis kapal sebagai fuel object dan operasional harian proses produksi. Terdapat beberapa kriteria umum yang menjadi dasar penjadwalan pengisian BBM, namun setiap koordinator berhak menyusun penjadwalan berdasarkan pengalaman dan subjektifitas masing-masing. Oleh karena itu jadwal yang disusun antar koordinator bisa sangat berbeda, agar memiliki standar yang seragam maka sangat diperlukan suatu metode yang terstruktur dengan kriteria standar dalam pengambilan keputusan penyusunan penjadwalan pengisian BBM. Penelitian ini bertujuan untuk mengetahui kriteria apa saja yang menjadi dasar pertimbangan dalam penjadwalan pengisian BBM dan mengembangkan suatu sistem agar keputusan penjadwalan yang diambil bisa terukur dan dipertanggungjawabkan dengan baik. Metode yang digunakan pada penelitian ini adalah rating approach Analytical Hierarchy Process (AHP), sedangkan pengelompokan kapal (klaster) yang akan diisi menggunakan metode hierarki agglomerative, complete linkage dengan euclidean distance. Hasil dari penelitian ini menunjukkan bahwa area kerja akan dibagi menjadi 3 klaster dengan jumlah SPOB sebanyak 3. Selanjutnya kriteria yang dijadikan dasar pertimbangan dalam pengambilan keputusan penjadwalan pengisian BBM adalah fuel remaining day fuel object, prioritas operasi, akses menuju fuel object dan jarak SPOB dengan fuel object. Berdasarkan analisis implementasinya, metode penjadwalan dengan menggunakan rating approach AHP dapat memberikan jadwal yang konsisten, terukur,bisa dipertanggungjawabkan, dan sangat mudah diimplementasikan serta dapat menghindari terjadinya perbedaan penjadwalan (subjektivitas) antar koordinator. Abstract[Fuel Distribution Scheduling For Self Propelled Oil Barge (SPOB) Based On The Hierarchy Process Analityc Method] The implementation of operational activities in the offshore area of oil and gas exploration and exploitation companies requires quite a lot of fuel. This fuel is mostly used for the mobilization of various types of ships as a fuel object and for the daily operations of the production process. There are several general criteria that form the basis for scheduling refueling, but each coordinator has the right to arrange a schedule based on their own experience and subjectivity. Therefore, the schedule prepared between the coordinators can be very different, in order to have a uniform standard, it is necessary to have a structured method with standard criteria in making decisions on the preparation of fuel filling scheduling. This study aims to find out what criteria are the basic considerations in scheduling refueling and develop a system so that scheduling decisions taken can be measured and accounted for properly. The method used in this study is the rating approach Analytical Hierarchy Process (AHP), while the grouping of ships (clusters) to be filled using the agglomerative hierarchy method, complete linkage with euclidean distance. The results of this study indicate that the work area will be divided into 3 clusters with the number of SPOB as much as 3. Furthermore, the criteria that are used as the basis for consideration in making decisions about fuel filling scheduling are fuel remaining day fuel object, operating priority, access to fuel object and distance between SPOB and fuel. objects. Based on the implementation analysis, the scheduling method using the AHP rating approach can provide a schedule that is consistent, measurable, accountable, and very easy to implement and can avoid scheduling differences (subjectivity) between coordinators.Keywords: Analytical Hierarchy Process; Fuel Object; Scheduling; SPOB

SIMULASI WAKTU TUNGGU DAN BIAYA RANTAI PASOK SEMEN BERBASIS AGEN MENGGUNAKAN SOFTWARE ANYLOGIC Jati Utomo Dwi Hatmoko; Andreas Maruli Tua Nababan; Mayang Dhisyacitra; Frida Kistiani
J@ti Undip: Jurnal Teknik Industri Vol 16, No 3 (2021): September 2021
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Kendala umum pada pengadaan material konstruksi adalah keterlambatan pengiriman material akibat ketersediaan stok. Penerapan manajemen rantai pasok yang efektif mampu mencegah terjadinya keterlambatan pengiriman material. Maksud dari penelitian ini adalah untuk membangun model simulasi manajemen rantai pasok berbasis agen dalam penyediaan material semen. Penelitian ini bertujuan untuk memetakan distribusi semen dari factory, wholesaler, hingga retailer di Jawa Tengah, mengestimasi rata-rata waktu tunggu customer, mengkalkulasi biaya harian yang dikeluarkan oleh masing-masing agen (factory, wholesaler, dan retailer), serta menentukan batas-batas persediaan stok yang optimal. Simulasi rantai pasok dilakukan berbasis agen dengan menggunakan software Anylogic. Input data berupa biaya-biaya, stok, serta probabilitas permintaan material diperoleh langsung dari masing-masing agen yang ditinjau (1 factory, 1 wholesaler, 30 retailer). Hasil simulasi menunjukkan bahwa durasi waktu tunggu customer yang paling sering terjadi berkisar antara 0-0,05 hari dengan probabilitas sebesar 69,30%. Estimasi biaya rata-rata harian yang dibutuhkan retailer adalah sebesar Rp.600.359,45, sedangkan wholesaler adalah Rp.1.071.811,06, dan untuk factory adalah Rp.38.630.071,96. Hasil optimasi menunjukkan nilai-nilai batas stok terbaru untuk masing-masing agen (stok minimum, target stok), sebagai berikut: factory (1103, 2206); wholesaler (1005, 2000); retailer (1000, 2011). Hasil penelitian ini bermanfaat bagi masing-masing agen sebagai acuan dalam menentukan batas-batas stok dan memprediksi rata-rata biaya harian.

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