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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.

Arjuna Subject : -

Articles 394 Documents

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Leadership Support and Employee Creativity: A Meta-Analysis Wajdi, Farid
Jurnal Optimasi Sistem Industri Vol. 17 No. 1 (2018): Published in April 2018
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Leaders who have transformational, empowerment, and other positive characteristics positively affect the performance of employee creativity. This study aimed to confirm and clarify the influence of leadership on employee creativity through meta-analysis method. Thirty-two titles of articles with 33 studies used in the analysis, yielding correlation values that support the hypothesis (0.27). In a geographical perspective, there is no difference between the west and the east. This can be seen from the comparable correlation value of each 0.268 and 0.274. However, in a sectoral perspective, manufacturing firms have a more prominent correlation (0.322) than service firms or mixed (0.238 and 0.235). Different motivation factors need to be considered as the link between personal and contextual factors. Therefore, further research should be done to examine the role of different motivations in linking the leadership support on employee creativity.

Penjadwalan Mesin dengan Menggunakan Algoritma Pembangkitan Jadwal Aktif dan Algoritma Penjadwalan Non-Delay untuk Produk Hydrotiller dan Hammermil pada CV. Cherry Sarana Agro Prima Fithri; Fitri Ramawinta
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

Fulfillment of all demands of consumers who come to the product is one thing that always wanted to be achieved by a company. These requests are not independent of the company's ability to manufacture certain products. CV Cherry Sarana Agro manufactures a wide range of agricultural equipment, one of which is the product hydrotiller and hammermil. Demand for both products are always in large numbers for each period, however, the company could not meet the entire demand. One of the main factors that led this small company's production capacity for these two products is not optimal scheduling of machines made by companies, causing many to be a queue on a particular machine so that the total process operating time becomes very large. Scheduling method is used to optimize the scheduling of machines working on the report of this practice is actively scheduling method and the method of non-delay scheduling. The data needed to perform scheduling with both of these methods is the data used machines, data processing operations and data processing time of operation. With these three data, can be compared to the actual scheduling done by the company with the scheduling is done using active scheduling method and the method of non-delay scheduling. The most optimal scheduling is obtained after comparing the three methods used are scheduling using the non-delay scheduling. This method was chosen because the resulting make span is much smaller than the two other methods. This method is well applied in the company because in addition to reducing the total processing time, can also increase production capacity, so that all requests can be met.Keywords: Active schedulling method, non-delay schedulling method, makespan, hydrotiller, hammermil

Model Proses Adopsi Teknologi di AgroIndustri Lada dengan Fuzzy Inference System Suci Wulandari; Eriyatno Eriyatno; Meika Syahbana Rusli; B. S. Kusmuljono
Jurnal Optimasi Sistem Industri Vol. 10 No. 2 (2011): Published in 1st October 2011
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Technology, as one component of agroindustry development system, has a strategic role. It can only be realized if new technology is difussed and adopted. Adoption of technology in the processing of white pepper is still very low. It is therefore necessary to study with the aim to develop a model of agroindustry technology adoption process, and to formulate strategic policy for its acceleration. Model of measuring and predicting user acceptance of new technology is adopted from Unified Theory of Acceptance and Use of Technology (UTAUT) model. Mapping and prediction model technology adoption rates are expressed as a form of usage behavior. The model consists of two parts sub models namely intention to use sub models and support facilities sub model. To deal with vagueness in analysis of technology adoption, fuzzy inference system is used on mapping and level prediction of technology adoption.Keywords: technology, process, model, fuzzy inference system, agroindustry

Pemilihan dan Implementasi Strategi Peningkatan Kenyamanan Termal Ruang Kuliah Lusi Susanti; Hary Fandeli
Jurnal Optimasi Sistem Industri Vol. 16 No. 2 (2017): Published in October 2017
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Optimum conditions help us think and work better. Thermal comfort in lecture buildings is important to maintain students’s comfort and help them concentrate on study. The fastest way to achieve expected thermal comfort inside the lecture room is using air conditioner, however, compensation on high electricity bills and degradation of the environmental quality has to be made. Therefore, the aim of this paper is to find and promote several environmental friendly strategies which can provide comfort to users in one hand, but also can reduce energy consumption in another hand. There have been several strategies in records to increase thermal comfort in buildings. To select the best and the most appropriate alternative, Analytical Hierarchy Process method was used by setting the criteria, sub-criteria, and alternatives to increase thermal comfort in lecture buildings of Andalas University. To test the selected alternative, thermal comfort inside two lecture rooms were evaluated experimentally. The comfort level was evaluated using PMV (Predicted Mean Vote) and PPD (Predicted Percentage Dissatisfied) model. For all experimental conditions, PMV and PPD results and individual thermal vote results showed a good match statistically meaning that the PMV and PPD models could predict thermal condition inside the lecture rooms. Results also showed that the presence of natural vegetation infront of glass windows of the lecture rooms statistically improved thermal comfort sensations of students under natural ventilation mode and reduced thermostat setting under air conditioning mode.

Optimizing Demand Forecasting Method with Support Vector Regression for Improved Inventory Planning Tryantomo Lokhilmahful Palgunadi; Rina Fitriana; Anik Nur Habyba; Yun-Chia Liang
Jurnal Optimasi Sistem Industri Vol. 23 No. 2 (2024): Published in January 2025 (published late, please read our note)
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Problems arising from suboptimal production planning can cause inventory management to be less effective and efficient in the company. The lack of integrated presentation of information also causes less efficiency in making decisions. This study aims to obtain the best kernel function forecasting model by predicting ground rod sales using the Support Vector Regression (SVR) method in order to determine the level of forecasting accuracy and the results of ground rod forecasting in the future which are presented in an optimal data visualization. This problem-solving is done with the Support Vector Regression method, which consists of linear kernel functions, polynomial kernel functions, and radial basis function (RBF) kernel functions with the Grid Search Algorithm. Based on the results of the best parameter search that has been done using the grid search algorithm, it can be concluded that the best kernel function forecasting model is a linear kernel function with a value of C = 100 and ε = 10-3. The accuracy of this forecasting model has a MAPE value of training data and testing data of 2.048% and 1.569%, where this value is the smallest MAPE value compared to the MAPE value of the other two functions. After getting the best model, forecasting was carried out within five months, obtaining an average of 6,647 monthly pieces. The results of forecasting and historical sales are reviewed in a visualization of Business Intelligence data so that it is well exposed, where the forecasting shows an increase from every month.

Pengalokasian Tenaga Kerja dengan Human Factor Engineering di PT. Pelindo I Yusnawati Yusnawati; Abdul Rahim Matondang; Listiani Nurul Huda
Jurnal Optimasi Sistem Industri Vol. 16 No. 1 (2017): The Improved JOSI is Published in May 2017
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Indonesia Port Corporation I (PT Pelabuhan Indonesia I (Persero)) or PT. Pelindo I is one of the Indonesian state-owned enterprises which manages port services in western Indonesia. Shipyard unit (Unit Galangan Kapal (UGK)) is a branch of PT. Pelindo I. At present, a problem arises if more than 2 ships are being repaired at once in the unit, UGK scheduling overlaps the repairing activities. In order to solve the problem, study of human factor is important. Human factor is the study of the limitations, capabilities, and human behavior, as well as its interaction with the product, environment, equipment and the establishment of tasks and activities. One part of the human factor is the human factor in system design. In order to improve the effectiveness of the system, the human factor must be involved in each phase of the design process in the system design. This includes a number of activities to obtain input specification work, therefore the working methods and the optimal amount of labor can be determined. Human factors engineering is the application of science that utilizes research on the human factor and use the basic knowledge to design, to repair and to install the system. This research method is causal, searching for the causes which led to delays in the completion of ship repairing. Through human factor engineering approach to the allocation of labor increased by 12.23 per cent of the actual conditions, so that the delay of ship repair were not found during normal conditions.

Desain Strategi Peningkatan Daya Saing Industri Pengolahan Makanan Ringan Berbasis Klaster di Sumatera Barat Insannul Kamil; Rika Ampuh Hadiguna; Berry Yuliandra; Aulia Rahman
Jurnal Optimasi Sistem Industri Vol. 15 No. 2 (2016): Published in November 2016
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Food processing industries have grown in the region of West Sumatra since a few decades ago. The processing of various types of food recipes from various West Sumatra region comes from inheritance hereditary. Snack is a processed food product that has a special attraction among various types of distinctive food from West Sumatra. Increasing competitiveness is necessary to accelerate the growth of small and medium snacks industries in West Sumatera. Industrial cluster development is one of the strategic and effective approaches to achieve that objective. The research aims to design value chain and industrial cluster map model of small and medium snacks industries in West Sumatra. Industrial cluster mapping carried through: defining the value chain, a grouping of factors influence the level of internal and external factors, factors condition processing, grouping factor conditions into the four elements of SWOT, strategy planning using SWOT Matrix, and creating industrial cluster map of snacks industries in West Sumatra. The results showed that there are 7 internal factors and 6 external factors that can influence the competitiveness of small and medium snacks industries in West Sumatra. The value chain of snack industry in West Sumatra includes tuber farmers, traditional market, special suppliers, small and medium snacks industries, and consumers. The study also generates 10 programs centered on small and medium snacks industries in West Sumatra as a core industry.

Sistem Rantai Pasok Industri Minuman Softdrink Yossy Kartika
Jurnal Optimasi Sistem Industri Vol. 10 No. 1 (2011): Published in 1st April 2011
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

This paper discussed the supply chain management solutions at PT Coca Cola Bottling Indonesia withan evaluation of supply chain management of Coca Cola, where supply chain management is aconcept or mechanism to increase the total productivity of companies in the supply chain throughoptimization of the time, location and quantity of flow materials from raw materials into semi-finishedproducts and finished products. Supply Chain Management is not only about the relationship with thesupplier but also the link between the company and consumers. By knowing the value of theperformance of supply chainnya the company can improve the effectiveness and productivity of theorganization to achieve organizational goals is to win the competition, and increase corporate profits.In such measurements should be made an integrated framework and must comply with theconditions of the studied companies.

Evaluasi Kualitas Layanan terhadap Operator Telekomunikasi: Tinjauan Perspektif Pelanggan Rizka Shoumil Ilhami; Dino Rimantho
Jurnal Optimasi Sistem Industri Vol. 16 No. 2 (2017): Published in October 2017
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

PT. X organizes the office promotion every year, however it has not implemented the performance appraisal concept. This study was conducted on junior analyst at Laboratory Department of Routine Test in PT.X which has the highest number of employees in PT. X. This research aimed to find out the performance appraisal criteria and sub-criteria of the junior analysts, provide the weighting for each criteria and sub-criteria using Analytic Hierarchy Process (AHP) method, and recommend the planning framework of performance appraisal for junior analyst using Rating-Scale method in order to conduct the office promotion. The main criteria derived from this research were attendance, working target attainment, work thoroughness, proactive, empathy, cooperation (team/organization), analytical thinking, and flexibility. The result showed the working target attainment as the most important of the criterion approximately 0.248. Moreover, the consistency ratio around 0.020. In addition, the result of this research is applicable and could be proposed for conducting performance appraisal of junior analysts at Laboratory Department of PT. X in order to perform the office promotion.

Grey-based Taguchi Method to Optimize the Multi-response Design of Product Form Design Sugoro Bhakti Sutono
Jurnal Optimasi Sistem Industri Vol. 20 No. 2 (2021): Published in October 2021
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

This paper presents a multi-response optimization method that uses the grey-based Taguchi method as the integrative product form design optimization method, and it serves as a tool for product form design to determine the optimal combination of design parameters in Kansei engineering (KE). This method is unique in that it combines the Taguchi method (TM) and grey relational analysis (GRA), allowing it to take advantage of the benefits of both methods. The TM is used to design experiments and generate combinative product form design samples which can be used to improve product quality. The GRA is applied to multi-response optimization problems. Factor effect analysis and analysis of variance (ANOVA) are used to determine which combinations of design parameters will result in the optimal product design. To demonstrate the applicability of the grey-based TM, a case study of a car form design is presented, and a confirmation test is performed to verify the performance of the optimal product design. The results show that the grey-based TM can deal with optimization problems with multiple Kansei responses and determine an optimal car form design that is representative of the consumers' perception in a systematic manner. The confirmation test results also show that the optimal product design generated by the grey-based TM can be used to improve the overall quality of a product form.

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Home Page

OAI Link

Editorial Team

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Contact Name Rika Ampuh Hadiguna

Contact Email hadiguna@ft.unand.ac.id

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Location Kota padang, Sumatera barat INDONESIA

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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