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All Journal AL-ISHLAH: Jurnal Pendidikan Electro Luceat CogITo Smart Journal Jurnal Ilmiah Matrik CSRID (Computer Science Research and Its Development Journal) E-JURNAL JUSITI : Jurnal Sistem Informasi dan Teknologi Informasi JINAV: Journal of Information and Visualization Jurnal Pendidikan Administrasi Perkantoran (JPAP) Servitium Smart Journal
Jimmy H Moedjahedy
Universitas Klabat, Sulawesi Utara, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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Journal : JINAV: Journal of Information and Visualization

 1 
Optimizing Decision Making in Manufacturing: An Analysis of the Effectiveness of a DSS Using the Weighted Product Method I Gede Iwan Sudipa; Endang Setyawati; Fajriana Fajriana; Jimmy Moedjahedy; Iwan Adicandra; Robbi Rahim
JINAV: Journal of Information and Visualization Vol. 3 No. 2 (2022)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav1477

Abstract

This study aimed to evaluate the effectiveness of a DSS utilizing the WP method in improving the decision-making process and overall performance of a manufacturing company. The study collected data over a six-month period and found that the use of the DSS resulted in a 5% reduction in production costs, a 40% increase in market demand, and a 40% increase in profit. Additionally, user satisfaction level with the DSS improved by 33%. Regression analysis was conducted to determine the relationship between the use of the DSS and the performance of the company, the results showed that there was a statistically significant relationship between the use of the DSS and the reduction in production costs, increase in market demand, and increase in profit. Additionally, the analysis showed that the satisfaction level of the users of the system also significantly improved. The results of this study provide evidence that the use of a DSS with the WP method can be an effective tool for improving the decision-making process and overall performance of a manufacturing company. The study suggests that the DSS can be an effective tool for improving the performance of the company. However, it's important to note that the results of this study are specific to the manufacturing company, and may not generalize to other types of companies or industries.
Assessing the Relative Importance of Price, Safety, Energy Efficiency, Brand Reputation, and Warranty in Car Selection using SMART Method as Decision Support System Mochammad Anshori; Jimmy Moedjahedy; Samuel PD Anantadjaya; Ardimansyah Ardimansyah; Susi Indriyani
JINAV: Journal of Information and Visualization Vol. 3 No. 2 (2022)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav1523

Abstract

The Simple Multi Attribute Rating Technique (SMART) is a decision support system that is widely used for evaluating and comparing alternatives based on multiple criteria. In this study, we applied the SMART method to assess the relative importance of price, safety, energy efficiency, brand reputation, and warranty in car selection. We assigned scores to each car model for each criterion, weighted the criteria based on their relative importance, and calculated an overall score for each car model. The results of this study show that the SMART method is a simple and easy-to-use tool that can help in making informed decisions in car selection. The method allows for the inclusion of both quantitative and qualitative criteria, making it versatile and applicable to a wide range of decision-making problems. Future research could focus on developing methods to address the limitations of the SMART method. Another area of research could be to integrate the SMART method with other decision-making tools, such as multi-criteria decision analysis or artificial intelligence, to improve its performance and applicability. Additionally, more research could be done on how to effectively use SMART method in real-life scenarios where the data is uncertain, incomplete and inconsistent
A Multi-Criteria Decision-Making Approach for Warehouse Location Selection using TOPSIS Ira Modifa Tarigan; Muhammad Ade Kurnia Harahap; Endang setyawati; Jimmy Moedjahedy; Ernie C Avila; Robbi Rahim
JINAV: Journal of Information and Visualization Vol. 4 No. 1 (2023)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav1616

Abstract

This research makes use of the Method for Order of Preference by Similarity to Ideal Solution, also known as the TOPSIS approach, in order to discover the most suitable site for a company's warehouse. Following the establishment of the criteria for the selection of the warehouse location, weights were allotted to each of the criteria. The min-max method was utilized to do data normalization once it had been collected for each prospective location. After constructing the decision matrix with the weighted normalized values and determining the ideal and non-ideal solutions for each criterion, the results were then presented. Following the calculation of the Euclidean distance between each potential location and the ideal and non-ideal solutions, the TOPSIS formula was used to determine the relative proximity between each of the potential locations. The site of the potential location that was the highest relative closeness to the optimum solution was chosen to be the optimal location for the warehouse. By employing this strategy, the company will be able to make an educated decision regarding the location of their warehouse, which will, in the long run, result in improved operational efficiency and cost savings.
Co-Authors Ardimansyah Ardimansyah Ardy Bokang Arthur Raranta Aryasa, Komang Erfan Tongalu Ernie C Avila Fajriana Fajriana Green Ferry Mandias, Green Ferry Hamada Zein I Gede Iwan Sudipa Ira Modifa Tarigan Isdayani B Iwan Adhicandra Iwan Adicandra Jacquline Waworundeng, Jacquline Jessica Sabbathiny Buyung Kusrini Kusrini Laksono Trisnantoro M. Syukri Mustafa Mochammad Anshori Muhammad Ade Kurnia Harahap Okky Meiler Sigar Oktoverano Lengkong Paoki, Rouna Radja Boy Reynoldus Andrias Sahulata Robbi Rahim S Sahyunu Samuel PD Anantadjaya Setyanto, Arief Sihotang, Jay Idoan Sondakh, Debby Erce Stenly Ibrahim Adam Stenly Richard Pungus Susi Indriyani Usanto S Yogasetya Suhanda