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Jurnal Optimasi Sistem Industri

JOSI
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Published by Universitas Andalas

ISSN : 20884842 EISSN : 24428795 DOI : -

Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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.

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Articles 8 Documents

Search results for , issue "Vol. 19 No. 1 (2020): Published in June 2020" : 8 Documents clear

Mastery of Skills 4.0 Effect on The Readiness of College Students in Facing Revolution of Industry 4.0 Isna Juwita; Insannul Kamil; Jonrinaldi Jonrinaldi; Berry Yuliandra; Irsyadul Halim
Jurnal Optimasi Sistem Industri Vol. 19 No. 1 (2020): Published in June 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Revolution of industry 4.0 initiated by the German government, starting from the development of individual innovation behavior especially in the fields of robotics, digital technology, and information, has caused distortions to the future skills requirements. Some of the skills needed a lot in the past are now starting to experience a shift towards less needed. Some are even unnecessary because they are replaced by automation and robots. The emergence of several new skills (skills 4.0) that are more dominant is needed to make every interested party to prepare themselves to face the challenges of the revolution of industry 4.0. Students are one of the interested parties who will face the challenges of the revolution of industry 4.0 after they graduates from the formal higher education. This study determines the readiness of students in facing the revolution of industry 4.0, influenced by the mastery of skills 4.0 and individual innovation behavior with their innovation behavior as a mediating variable. Respondents in this study are 233 undergraduate students of the Andalas University. Using a cluster sampling technique, the data is collected using Likert scale based- questionnaire after which calculations are then performed using the Smart-PLS Program software 3.2.8. The results show that skills 4.0 and individual innovation behavior have a positive effect on students' readiness in facing the challenges of the revolution of industry 4.0. It implies that the students need to improve their mastery of skills 4.0 in order to prepare themselves to face the challenges of the revolution of industry 4.0.

Model Perilaku Partisipasi Warga di Bank Sampah (Studi Kasus di Bantul, DIY) Reni Dwi Astuti; Utaminingsih Linarti
Jurnal Optimasi Sistem Industri Vol. 19 No. 1 (2020): Published in June 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

The increasing volume of waste in Bantul Regency is a problem that must be solved. One of the things that the Regency Government does is by promoting waste banks. From the existing waste banks, citizen participation is still low, so it is not significant enough to reduce the volume of waste disposed of at the Piyungan landfill. One of the factors identified is the low interest of residents to join the waste bank. For this reason, a study of citizens' behavior is needed so that they join the waste bank with a theory of planned behavior coupled with knowledge of how and what and knowledge of consequences factors. Data collection was carried out by distributing questionnaires to members of the garbage bank. The number of respondents was 1265 from 29 waste banks spread throughout Bantul Regency. The method of data analysis uses linear regression. Research shows that attitudes, perceived behavioral control, knowledge of how and what, and knowledge of consequences have positive and significant effects, both simultaneously and partially, on the intention of residents to join the waste bank. Intention is also a significant positive and significant effect on behavior.

Manajemen Perawatan Menggunakan Metode RCM Pada Mesin Produksi Kertas Hery Hamdi Azwir; Arri Ismail Wicaksono; Hirawati Oemar
Jurnal Optimasi Sistem Industri Vol. 19 No. 1 (2020): Published in June 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

One of the leading manufacturers in packaging paper in Indonesia has six production machines. To keep the production machine always in the best condition, then the role of maintenance is significant. One of the production machines, namely paper production machine 2 (PM2), has experienced increasing the number of breakdowns significantly, resulting in increased downtimes. Sudden failure causes a lengthy repair time and results in considerable production loss. The corrective maintenance method that is running at this time still not effectively reduce downtime. To minimize the number of downtimes, preventive maintenance is needed, and therefore the Reliability Centered Maintenance (RCM) method is selected. Besides applying quantitative analysis such as Mean Time To Repair (MTTR), Mean Time To Failure (MTTF), reliability, and preventive cost calculations. This method also conducts qualitative analysis such as Functional Block Diagrams (FBD), critical engine analysis, Fault Tree Analysis (FTA), and Failure and Mode Effect Analysis (FMEA). After implementing the preventive maintenance, there is an increase in reliability in the sub-system of the press section of the paper production machine 2 from only 43% to 56%, while the repair cost has been reduced by Rp 393,258,670 from Rp 5,724,825,736 to Rp 5,331,567,066 each time replacement of components in the press section. This decrease in costs will contribute to the profits earned by the company because it saves maintenance costs.

Cover & Preface JOSI Vol. 19(1) 2020 Hilma Raimona Zadry
Jurnal Optimasi Sistem Industri Vol. 19 No. 1 (2020): Published in June 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Adoption Intention Model of Electric Vehicle in Indonesia Martha Widhi Dela Utami; Yuniaristanto Yuniaristanto; Wahyudi Sutopo
Jurnal Optimasi Sistem Industri Vol. 19 No. 1 (2020): Published in June 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Indonesia’s government was targeting the adoption of 2.1 million units of two-wheeled electric vehicles and 2,200 units of four-wheeled electric vehicles in 2025 through the Republic of Indonesia's Presidential Regulation No. 22 in 2017 about the National Energy General Plan. In 2019, the Government of Indonesia issued Presidential Regulation No. 55 in 2019 concerning the Acceleration of the Battery Electric Vehicle Program for Road Transportation. In 2018, the adoption of two-wheeled electric vehicles only reached 0.14% of the government's target for 2025. Therefore, the adoption of Electric Motorcycle (EM) technology must also consider many factors to be successful. This research develops a non-behavioral electric vehicle adoption intention model. The factors include sociodemographic, financial, technological, and macro-level. The online survey involved 1,223 respondents. Logistic regression is used to obtain the function and probability value of intention to adopt EM in Indonesia. Frequency of sharing on social media, level of environmental awareness, purchase prices, maintenance costs, maximum speed, battery charging time, availability of charging station infrastructure at work, availability of home power based- charging infrastructure, purchase incentive policies, and charging cost discount incentive policies are significantly influencing the intention to adopt electric vehicles. It also shows that the opportunity for Indonesians to adopt electric motorcycles reaches 82.90%. The realization of the adoption of electric motorcycles in Indonesia requires infrastructure readiness and costs that can be accepted by consumers. Lastly, the results of this research provide some suggestions for the government and businesses to accelerate electric motorcycle adoption in Indonesia.

Evaluasi Produk Gendongan Bayi Menggunakan Metode Kansei Engineering Anandari Ramadhiar Priyandini; Ari Widyanti
Jurnal Optimasi Sistem Industri Vol. 19 No. 1 (2020): Published in June 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

There are a lot of baby carrier types commonly found in Indonesia. Aside from the massively produced baby carriers with modern shapes and features, the traditional ‘kain jarik’ baby carriers are still an option to mothers in Indonesia. The research was conducted to evaluate the subjective perception of the consumers in choosing to use a baby carrier. An evaluation was done to see the factors that influence consumers to choose a certain product and their correlations to the products’ designs. Kansei engineering is used as a method to identify the emotional perception of a consumer to a baby carrier by means of a questionnaire involving 525 respondents. The identification process results in several Kansei words that were grouped and used as a stimulus to the questionnaires meant to evaluate 4 samples of baby carriers commonly used in Indonesia. The result showed that there are 3 main factors that encouraged consumers to pick a baby carrier, which are comfort, design, and material. Based on those 3 factors, consumers gave their highest scores to a kangaroo or wrap baby carriers.

Studi Eksplorasi Faktor yang Mempengaruhi Keberlanjutan Pemakaian Layanan Mobile Payment Alfian Tan; Paulina Kus Ariningsih; Cherish Rikardo
Jurnal Optimasi Sistem Industri Vol. 19 No. 1 (2020): Published in June 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

This research explores some potential factors that affect the continuance intention of a mobile payment service. The trend of mobile payment services has been increasing since the last few years. The advancing technology of the internet and smartphone has been a supporting environment for the growth of this method. Many similar mobile payment services are offered in the community which results in a highly competitive business condition. The business owner who has put a high investment in this business will surely want to keep it running and even grow their product. Therefore, some knowledge of factors that can significantly promote the sustained use of their product to customers will be imperative. In this research, some existing models on the general repurchase intention concept and users’ continuance intention will be combined and tested to figure out some influential aspects to continuance intention concept. Seven factors are hypothesized to have direct and indirect effects. Data from 193 respondents are gathered and the results of the tested model shows perceived quality, perceived value, and brand preference subsequently influence the continuance intention. Further analysis is also conducted in this research to explain the relationship between factors as well as analysis of current mobile payment providers.

Hubungan antar Hambatan Green Supply Chain Management (GSCM) pada Industri Kelapa Sawit di Indonesia Rangga Primadasa; Dina Tauhida
Jurnal Optimasi Sistem Industri Vol. 19 No. 1 (2020): Published in June 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

The palm oil industry as an important industry in Indonesia is demanded to conduct business in a sustainable way, including the implementation of green supply chain management (GSCM). However, in order to implement GSCM in the oil palm industry there are many barriers, but not yet comprehensively formulated what the barriers are and how to eliminate it. This study aims to identify barriers GSCM in the palm oil industry in Indonesia, to model the relationship between GSCM barriers and to classify any of it to the palm oil industry in Indonesia using the MICMAC approach. The interpretive structural modeling method was used in this study, where the stages began with a literature study to obtain GSCM indicators of the palm oil industry in Indonesia, then breakdown to get the barriers. The structural self-interaction matrix (SSIM) is then structured based on contextual relationships between obstacles by experts who have worked in the palm oil industry. Furthermore, SSIM is converted into a binary matrix. To get the level of each barrier, the level partitions stage is used to developing a chart and a model between the GSCM barriers in the palm oil industry in Indonesia. This research resulted in 15 GSCM barriers in the palm oil industry, then arranged into a 6-level model of GSCM barriers and divided into four clusters. The implication of this research is the addition of knowledge about GSCM especially the palm oil industry. While managerially giving direction on the strategy to eliminate GSCM barriers in the palm oil industry.

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Rika Ampuh Hadiguna

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Location
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Sumatera barat

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Rika Ampuh Hadiguna

Contact Email hadiguna@ft.unand.ac.id

Phone -

Journal Mail Official hadiguna@ft.unand.ac.id

Editorial Address -

Location Kota padang, Sumatera barat INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Rika Ampuh Hadiguna

Contact Email
hadiguna@ft.unand.ac.id

Phone
-

Journal Mail Official
hadiguna@ft.unand.ac.id

Editorial Address
-

Location
Kota padang,

Sumatera barat

INDONESIA