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Contact Name
Rika Ampuh Hadiguna
Contact Email
hadiguna@ft.unand.ac.id
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Journal Mail Official
hadiguna@ft.unand.ac.id
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Location
Kota padang,
Sumatera barat
INDONESIA
Jurnal Optimasi Sistem Industri
Published by Universitas Andalas
ISSN : 20884842     EISSN : 24428795     DOI : -
Jurnal Optimasi Sistem Industri (JOSI) is a peer-reviewed journal that is published periodically (April and October) by the Department of Industrial Engineering, Faculty of Engineering, Universitas Andalas, Padang.
Arjuna Subject : -
Articles 229 Documents
Analisis Kompetensi Kewirausahaan Industri Kecil Suku Cadang di Kota Padang Prima Fithri; Amanda Febria Sari
Jurnal Optimasi Sistem Industri Vol. 11 No. 2 (2012): Published in 1st October 2012
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1336.88 KB) | DOI: 10.25077/josi.v11.n2.p279-292.2012

Abstract

As economic development and current technology, there tends to SMEs have been reversed there is some effort to close down due to lack of existing orders in the business. Therefore, the government made efforts to assist existing SMEs to be able to survive in the face of global crisis is happening right now. These efforts may include providing small loans and may include training services in accordance with its business. One of the materials provided in the training is about entrepreneurship so that SMEs are expected to compete with similar companies. The low ability entrepreneur pointed out as one of the reasons SMEs are not able to compete with large companies, such as SI (Small Industry) Spare Parts in the city of Padang. The failure to penetrate IK Parts of competition to supply spare parts in the PT. Semen Padang because of its low ability entrepreneur is owned by SI. With no indicator of entrepreneur ability, there are some problems for governments about policies that will be taken for judge the SI. Therefore, the entrepreneur ability should be decided to helps government in decisions making of policies, so that SI can be competing with larger companies. The method that been used in this study is the Quality Function Deployment (QFD) and the recommendations for policies that can be used by the government by using SWOT analysis. QFD is used to identify consumer needs and its association with the characteristic techniques provided by the government, so that the final results are the critical competencies that should be developed first. The linkage between the needs of consumers with technical characteristics reflected in the House of Quality (HOQ). While the results of the SWOT analysis are four types of strategies which can be used later by using the strategy outlined in the strategy implementation architecture for 10 years. This research resulted in 25 indicators of entrepreneurial competencies that include Human Resources (HR), financial, and research and development which consist of eight aspects. The resulting formulation of strategies using SWOT analysis generates SO Strategies (5 strategies), WO Strategies (7 strategies), ST Strategies (7 strategies), and WT Strategies (5 strategies). The design of the implementation of the strategy is planned for 10 years which is reflected in the architecture of the strategy and its implementation strategies.Keywords: small industries, indicators, competences, entrepreneur, strategies
Perancangan Sistem Penunjang Keputusan Investasi Daerah Berbasis Webgis di Provinsi Sumatera Barat (Studi Kasus Badan Koordinasi Penanaman Modal Provinsi Sumatera Barat) Difana Meilani; Ryan Amirulfiras
Jurnal Optimasi Sistem Industri Vol. 14 No. 1 (2015): Published in 1st April 2015
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2036.075 KB) | DOI: 10.25077/josi.v14.n1.p156-175.2015

Abstract

The implementation of decision support system will be applied to support the regional investment of West Sumatera by providing a feasibility study analysis; exclusively the aspects of economic and financial criteria. This research was carried out in West Sumatera Regional Investment Coordinating Board as the authorities of regional investment licensing and controlling. The first step in designing a decision support system is conducting Pre – Study. It consists of literature study and pre–design study related to the field of study. Next step is using Unified Modeling Language (UML) method to provide, represent and visualize the system. The basic model of the financial feasibility study is implemented by using the predetermined assumption as the scope of the best system performance. The system design which is implemented uses the Web and GIS concept. Otherwise, the expected result from the research is the application is able to calculate the basic data from financial feasibility aspect into needed information in order to analyze the feasibility of any investments. The result should be converted into Net Present Value, Benefit Cost Ratio, Internal Rate of Returns, and Payback Period value. The last step of the research is verification and validation in order to make sure the ability of application accommodating the pre -design system requirements. The result of verification and validation is able to accommodate the pre -designsystem requirements conclusively.
Evaluasi Kenyamanan Termal Ruang Sekolah SMA Negeri di Kota Padang Lusi Susanti; Nike Aulia
Jurnal Optimasi Sistem Industri Vol. 12 No. 1 (2013): Published in 1st April 2013
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (349.901 KB) | DOI: 10.25077/josi.v12.n1.p310-316.2013

Abstract

This research aims to determine thermal conditions and sensation of thermal comfort in classrooms of high schools in Padang. This study was conducted in 11 State Senior High School (SMA) represented 11 districts in Padang. About 10% of total student body in each schools were participated in this study to vote thermal comfort questioners. To determine thermal comfort level in this study, PMV (Predicted mean Vote) and PPD (Predicted Percentage of dissatisfied) method were used according to standard of thermal comfort in ASHRAE 55-2005 and ISO 7730. PMV method is used to determine scope of situation in the environment that scaled from +3 for very hot until -3 for very cold, and PPD is a method to calculate the number of human (in percentage) dissatisfied with the environment. Calculated PMV and PPD were compared with PMV and PPD resulted from individual vote from questionnaires. Result showed that in general, thermal conditions in classrooms had air temperature and radiant temperature from 27oC – 30oC, air humidity from 68% - 80%, and wind speed of 0 m/s. Calculated PMV from this condition were ranging from +1 slightly warm) until +2 (warm) while PPD calculated greater than 20%. Compared with calculated PMV and PPD values, the individual vote showed values from +0,5 (neutral) until +1 (slightly warm) while PPD values of individual vote greater than 20% except for SMA 2 and SMA 11 Padang. It is concluded that improvements of indoor thermal conditions have to make inside classrooms as well as landscape outside in order to improve thermal comfort level of students during learning and teaching.Keywords: Thermal Comfort, PMV (Predicted Mean Vote), PPD (Predicted Percentage ofDissatisfied), climatic factors, SMA
Pengurangan Bullwhip Effect dengan Metode Vendor Managed Inventory Fenny Rubbayanti Dewi; Annisa Kesy Garside
Jurnal Optimasi Sistem Industri Vol. 14 No. 2 (2015): Published in 1st October 2015
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (526.401 KB) | DOI: 10.25077/josi.v14.n2.p292-298.2015

Abstract

Information distortion caused PT Multi Sarana Indotani got higher demand than the distributor. Demand variability in each echelon of the supply chain (bullwhip effect) may occur due to lack of demand stability that the producer had difficulty in determining the amount of production. One of the collaboration methods that can be applied to overcome the information distortion as causes of the bullwhip effect is vendor managed inventory, where the needs of distributor and retailers monitored and controlled by the producer. In this case, vendor managed inventory applied to two echelons, producer, and distributor. 
Model Pemilihan Pemasok Bahan Baku Kelapa Parut Kering dengan Metode AHP (Studi Kasus PT. Kokonako Indonesia) Siti Wardah
Jurnal Optimasi Sistem Industri Vol. 12 No. 2 (2013): Published in 1st October 2013
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (426.566 KB) | DOI: 10.25077/josi.v12.n2.p352-357.2013

Abstract

The selection of suppliers is a strategic activity, especially if the supplier will supply critical items and/ or will be used in the long term. Many factors need to be considered in the selection of suppliers. PT. Kokonako Indonesia is one of the companies of the Group are located in Medan Capella. There are weaknesses in the selection of suppliers conducted by PT. Indonesia Kokonako the decision maker for the purchase of raw materials which are not within specification diameter ≥ 10 cm. Therefore, this study aims to perform the selection of suppliers with the consideration of a more comprehensive and objective as needed. The first stage is carried out in order to represent the actual circumstances is to identify the criteria, sub-criteria, and alternatives that will be used in the selection of suppliers. There are 6 criteria, 13 subcriteria, and 4 alternatives used in the selection of suppliers for raw materials dried grated coconut. The second stage, the stage determines the method for the selection of suppliers. Based on the identification there are no dependencies between sub criteria. Therefore, the exact method used to determine the priority of suppliers to be selected is the method of analytical hierarchy process (AHP). By using the AHP, the priorities selected suppliers for raw materials are dried grated coconut and weighs 0.363 Tempuling District as a top priority. Followed by Sub Tembilahan with weights 0.268, third priority is the District Enoch with weights 0.213, and the last is the Sub Trunk Tuaka and weighs 0,157.Keywords : Selection of suppliers, Analytic Hierarchy Process (AHP)
Model Prediksi Prilaku Kerja Aman Industri Kreatif Batik Tulis Sumenep Nachnul Ansori; Trisita Novianti; Fitri Agustina; Ahmad Shodiqul Ma’ruf
Jurnal Optimasi Sistem Industri Vol. 14 No. 2 (2015): Published in 1st October 2015
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (715.865 KB) | DOI: 10.25077/josi.v14.n2.p193-203.2015

Abstract

Sumenep’s hand Batik is one of best practice in Madura. Located in Pekandangan BaratVillage, Sumenep Regency. Production activities done manually and many hazards foundthroughout overall processes. The aime of this research is finding prediction model of safetywork behavior as the response by analyzing factors which influence safety work behaviorsignificantly. Observation executed by 80 respondents, the model used multivariate linierregression. The result obtained that knowledge variabel and protective personal equipmentare significant. Meanwhile, perception and communication are not significant. Finally, modelof safety work behavior found two variables such worker’s knowledge and protectivepersonal equipment which determination coeficient of model is 15.9%. 
Evaluasi Efektivitas Mesin Kiln dengan Penerapan Total Productive Maintenance pada Pabrik II/III PT Semen Padang Andita Rahayu
Jurnal Optimasi Sistem Industri Vol. 13 No. 1 (2014): Published in 1st April 2014
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (785.568 KB) | DOI: 10.25077/josi.v13.n1.p454-485.2014

Abstract

PT Semen Padang is a company that produces cement and it can not be separated from issues related to the effectiveness of the machinery/ equipment caused by factors such as six big losses. It can be indicated from the frequency of damage caused to machinery/ equipment because of the damage so that production targets are not achieved. Another result of damage caused by machinery/ equipment is the quality of products where the products are not meet the quality standards. Therefore, it is necessary to measure effective and efficient in the maintenance of machinery/equipment int term of solving such problems. TPM is a method which developed in Japan that can be applied to improve the productivity and efficiency of production. The applied method is one of useful methods to mantain machinery/equipment utilization including, losses that called by the six big losses. One goal of TPM is to increase the effectiveness to improve function and performance of machinery/ equipment used and reduce the six big losses contained in the machine/ equipment. Study has been conductedin W1 and W2 Kiln engine on Indarung Factory II / III PT Semen Padang. The first stage is measuring the effectiveness of W1 and W2 Kiln machine using OEE method. Furthermore, we are y measure OEE Six Big Losses and another losses that lead to the low efficiency of the Kiln machine. The data has been collected based on year 2013. Result showed that the value of OEE in W1 kiln ranged from 49% to 96%. While the value of OEE in W2 kiln ranged from 60% to 98% . It is related to the level of availability W1 kiln (average 92%) were also quite low when it is compared to the level of availability W2 kiln (average 94%) due to the length of time the kiln W1 engine damage. Refer to the value of the performance rate W1 and W2 kiln, it can be concluded that the average value of both engine performance rate is almost the same, ranging between 91% and 92%. Analysis of OEE Six Big Lossesshowed that cause of low OEE on kiln machine is breakdown loss. It also affected the reduced speed loss.Keyword : OEE, Six Big Losses, Availability, Performance Rate, Quality RateAbstrakPT Semen Padang merupakan sebuah perusahaan yang memproduksi semen juga tidak terlepas dari masalah yang berkaitan dengan efektivitas mesin/peralatan yang diakibatkan oleh faktor six big losses tersebut. Hal ini dapat terlihat dari frekuensi kerusakan yang terjadi pada mesin/peralatan karena kerusakan tersebut sehingga target produksi tidak tercapai. Akibat lain yang ditimbulkan kerusakan mesin/peralatan yaitu dalam hal kualitas produk yang dihasilkan dimana produk yang tidak sesuai dengan standar kualitas akan dioleh kembali. Oleh karena itu diperlukan langkah-langkah efektif dan efisien dalam pemeliharaan mesin/peralatan untuk dapat menanggulangi dan mencegah masalah tersebut. TPM adalah salah satu metode yang dikembangkan di Jepang yang dapat digunakan untuk meningkatkan produktivitas dan efisiensi produksi perusahaan dengan menggunakan mesin/peralatan secara efektif. Tidak tepatnya penanganan dan pemeliharaan mesin/peralatan tidak hanya menyebabkan masalah kerusakan saja, tetapi juga kerugian lain yang disebut dengan six big losses. Salah satu tujuan TPM adalah untuk meningkatkan efektivitas dengan cara meningktaan fungsi dan kinerja mesin/peralatan yang digunakan dan mengeliminasi six big losses yang terdapat pada mesin/peralatan. Objek yang diteliti pada penelitian ini adalah mesin Kiln W1 dan W2 yang terdapat pada Pabrik Indarung II/III PT Semen Padang. Tahapan pertama dalam usaha peningkatan efisiensi produksi pada perusahaan ini adalah dengan melakukan pengukuran efektivitas mesin Kiln W1 dan W2 dengan menggunakan metode OEE yang kemudian dilanjutkan dengan pengukuran OEE Six Big Losses dan dari faktor six big losses tersebut dicari faktor terbesar yang mengakibatkan rendahnya efisiensi mesin Kiln. Data yang digunakan adalah data satu tahun terakhir yaitu Bulan JanuariDesember 2013. Selama periode tersebut, diperoleh nilai OEE pada kiln W1 berkisar antara 49% hingga 96%. Sedangkan nilai OEE mesin kiln W2 berkisar antara 60% hingga 98%. Hal ini berhubungan dengan tingkat availability mesin kiln W1 (rata-rata 92%) yang juga cukup rendah bila dibandingkan dengan tingkat availability mesin kiln W2 (rata-rata 94%) dikarenakan lamanya waktu kerusakan mesin kiln W1. Bila dilihat dari nilai performance efficiency mesin kiln W1 dan W2, maka dapat disimpulkan bahwa nilai rata-rata performance efficiency kedua mesin ini hampir sama, yaitu berkisar antara 91% dan 92%. Bila dilakukan analisa OEE Six Big Losses, maka yang menjadi penyebab rendahnya OEE pada mesin kiln ini adalah waktu kerusakan mesin yang tergolong dalam frekuensi sering. Hal ini juga berimbas pada penurunan kecepatan kerja mesin kiln.Kata Kunci : OEE, Six Big Loss, Availability, Performance Rate, Quality Rate
Analisis Sistem Rantai Pasok Baja Syaikhuna Ibnu Jarir; Dwi Kartika Wulandari; Desma Ulfitriani; Hendra Gunawan; Jeni Rolika
Jurnal Optimasi Sistem Industri Vol. 11 No. 1 (2012): Published in 1st April 2012
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (132.943 KB) | DOI: 10.25077/josi.v11.n1.p214-220.2012

Abstract

PT Karakatau Steel is the which manufacture iron steel factory in Cilegon, Banten, Indonesia. That said Pujawan supply chain is the network of the which companies are working to create and deliver togerther the product into end customer. Production activity in PT Krakatau Steel include raw steel, producing and selling work-in-process steel, finished steel products and steel billet Including, HRC and CRC, steel wire bar, and also steel-concrete, profile steel, and steel pipe.In finished steel products, steel production company Could match with specification and customer needs. PT Karaktau steel sales have activity in the domestic market and export market by using porduction system make-to-stock. To control product quality of product produced, well relatioionship keep company with raw material suppliers, and also the make an impact on production controling cost.Supplier selection procedure uses the tender mechanism, chosen supplier is the best supplier That consistency ratio have high level of priority and wight . Company built product storage in easy access places to maintain product delivery Fluency by choosing train as land transportation unit and ship as sea transport unit.Keywords: supply chain, make to stock, transportation
Pengembangan Model Economic Production Quantity (EPQ) dengan Sinkronisasi Demand Kontinu dan Diskrit Secara Simultan Nurike Oktavia; Henmaidi Henmaidi; Jonrinaldi Jonrinaldi
Jurnal Optimasi Sistem Industri Vol. 15 No. 1 (2016): Published in March 2016
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (785.635 KB) | DOI: 10.25077/josi.v15.n1.p78-86.2016

Abstract

The most popular inventory model to determine production lot size is Economic Production Quantity (EPQ). It shows enterprise how to minimize total production cost by reducing inventory cost. But, three main parameters in EPQ which are demand, machine set up cost, and holding cost, are not suitable to solve issues nowadays. When an enterprise has two types of demand, continue and discrete demand, the basic EPQ would be no longer useful. Demand continues comes from a customer who wants their needs to be fulfilled every time per unit time, while the fulfillment of demand discrete is at a fixed interval of time. A literature review is done by writers to observe other formulation of EPQ model. As there is no other research can be found which adopt this topic, this study tries to develop EPQ model considering two types of demand simultaneously.
Model Lokasi-Alokasi Bantuan Logistik Catastrophic Berbasis Masjid di Kota Padang Nofa Ariyana
Jurnal Optimasi Sistem Industri Vol. 11 No. 2 (2012): Published in 1st October 2012
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1123.48 KB) | DOI: 10.25077/josi.v11.n2.p235-242.2012

Abstract

Padang is one of the most vulnerable area of earthquake and tsunami in Indonesia. Therefore, it is necessary to have a good strategic planning about disaster logistics system and contingency planning. Contigency planning have three factors, human resources, transportation, and inventory. The problems that happened at distribution of disaster logistical buffer between distribution centre (BPBD Padang) and evacuation post are needed a buffer post (assistant post). This research suggest a location allocation model to select buffer post location and logistics allocation that distributed to evacuation post with minimum cost.Keywords: disaster logistics, location allocation model, buffer post

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