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All Journal Jurnal TIMES Al Ishlah Jurnal Pendidikan International Journal of Artificial Intelligence Research Jurnal Studi Komunikasi SEIKO : Journal of Management & Business JURIKOM (Jurnal Riset Komputer) Jurnal Telematika JOURNAL OF SCIENCE AND SOCIAL RESEARCH Journal of Robotics and Control (JRC) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Applied Science, Engineering, Technology, and Education TIN: TERAPAN INFORMATIKA NUSANTARA JINAV: Journal of Information and Visualization INCODING: Journal of Informatics and Computer Science Engineering Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Ceddi Journal of Information System and Technology (JST) Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) BISMA: Bimbingan Swadaya Masyarakat
Robbi Rahim
Sekolah Tinggi Ilmu Manajemen Sukma
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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.
ELECTRE III for Human Resource Management: A Study of Recruitment and Retention Strategies Meithiana Indrasari; Delipiter Lase; Indriyani Indriyani; Jacomina Vonny Litamahuputty; Iwan Adhicandra; 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.jinav1505

Abstract

This paper presents the application of the ELECTRE III multi-criteria decision making method for human resource management. The case study conducted involves the evaluation of different recruitment and retention strategies using multiple criteria such as cost, time to fill a position, quality of candidates, retention rate, diversity and inclusion, employee satisfaction, and compliance. The study demonstrates the step-by-step process of how to conduct an ELECTRE III analysis, including the identification of criteria and alternatives, the calculation of concordance and discordance indices, and the determination of final rankings using the global outranking relation. The results of this analysis can be used by organizations to make informed decisions about recruitment and retention strategies that best align with their goals and objectives. The study highlights the importance of data quality and the need for sensitivity analysis to check the robustness of the results. Additionally, it is suggested that future research could be conducted on how to effectively communicate the results of the analysis to stakeholders and decision-makers, and on comparing the results of this analysis with other methods.
Cross-Validation and Validation Set Methods for Choosing K in KNN Algorithm for Healthcare Case Study Robbi Rahim; Ansari Saleh Ahmar; Rahmat Hidayat
JINAV: Journal of Information and Visualization Vol. 3 No. 1 (2022)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav1557

Abstract

KNN categorization is simple and successful in healthcare. In this research's example case study, the KNN algorithm classified the new record as "Abnormal." The classification method began with choosing K, then calculating the Euclidean distance between the new record and the training set, finding the K nearest neighbors, then classifying the new record based on those K neighbors. The findings show that the KNN algorithm is effective in healthcare and highlight several shortcomings that should be addressed in future study. Weighting variables, choosing the best K value, and handling non-uniform data are these restrictions. The findings show the KNN algorithm's medical potential.
Leveraging the Decision Support System and Simple Additive Weighting Method for Optimal Retail Location Identification Muhammad Ade Kurnia Harahap; Hardisal Hardisal; Ahyuna Ahyuna; 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.jinav1485

Abstract

The decision-making process is a crucial part of any business or organization, and the Decision Support System (DSS) using the Simple Additive Weighting (SAW) method is a widely used tool for evaluating multiple options or alternatives. This study aimed to determine the best location for a new retail store using the DSS and SAW method. Four criteria were considered in the evaluation process: population density, proximity to competitors, average income, and rent cost. Data was collected and analyzed, and the weighted scores were calculated using the SAW method. The results of this study showed that Location A had the highest weighted score, and thus was determined to be the best option for the new retail store. This study provides a reliable method for evaluating multiple options and determining the best one. It also highlights the advantages of using the DSS and SAW method, such as the objective decision-making process based on data and criteria, and the high reliability of the results. Additionally, this study also points out the limitations of not using the DSS and SAW method, such as the subjective decision-making process based on personal bias and low reliability of the results. The DSS SAW method can be applied in various decision-making scenarios, and this study can serve as a guide for future research and decision-making processes.
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.
A Multi-Criteria Analysis of University Housing Options using Weighted Sum Model Muhammad Ade Kurnia Harahap; Ira Modifa Tarigan; Kraugusteeliana Kraugusteeliana; Sanco Simanullang; 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.jinav1697

Abstract

This study presents a novel application of the Multi-Criteria Decision-Making (MCDM) Weighted Sum Model (WSM) technique to assist students in selecting suitable university housing options. We identified five key criteria—location, affordability, amenities, room type, and social environment—based on a survey of prospective students' preferences. Using the Analytic Hierarchy Process (AHP), we calculated the weights for each criterion, reflecting the priorities of the surveyed students. We then applied the MCDM-WSM methodology to rank the housing options by calculating the weighted scores for each criterion. Our findings reveal a ranked list of university housing options that can guide students in making well-informed decisions based on their needs and preferences. The study demonstrates the significance of using advanced decision-making techniques in transforming complex decision-making processes into more structured, transparent, and reliable approaches. Furthermore, it highlights potential research gaps and future research directions to enhance the quality of choices and cater to the diverse needs of students in selecting university housing.
Co-Authors Abdul Latif Abdul Latif Abdul Rahman Abroza, Ahmad Ada Adoley Allotey Adri Lundeto Agus Riyanto Agus Widodo, Hendro Ahmar, Ansari Saleh Ahmed Ramadhan Al-Obaidi Ahyuna Ahyuna Akbar Iskandar Amiruddin, Erwin Gatot Andrei Widjanarko Anggia Arif Arfianto, Afif Zuhri Baringbing, Elsinta Karolina Br Belinda Lai Berman Hutahaean Claudia Ann Rutland Darwis Robinson Manalu Desi Eka Nuryanti Dwi Yuny Sylfania ELIHAMI, ELIHAMI Ellisa Agustina, Ellisa Elsayed T.Helmy Enos Lolang Ernie C Avila Ernie C Avila Ernie C. Avila Erwin L. Rimban Ester Rajagukguk Fahmi Sulaiman Fajriana, Fajriana Fransiskus Panca Juniawan GS , Achmad Daengs Guellica Agnesia Claudia Thanos Hafsah, Hafni Hardisal, Hardisal Harfawan Matturungan Harjanti, Trinugi Wira Hasan, Nonce Hashim, Raja Intan Zarina Binti Raja Zaki Hendro Agus Widodo Herry Rachmat Widjaja I Gede Iwan Sudipa Imam Saputra Indriyani Indriyani Intan Nurrachmi Ira Modifa Tarigan Irfan Ahmad Iswahyu Pranawukir Iswanto Suwarno Iswanto Suwarno Iwan Adhicandra Iwan Adhicandra Iwan Adicandra Jacomina Vonny Litamahuputty Jassim Alhamid Jimmy H Moedjahedy Kraugusteeliana Kraugusteeliana Kunal Kunal Kunal Kunal Kunal, Kunal Laksono Trisnantoro Lase, Delipiter Lela Khartishvili Leon Andretti Abdillah Lestari, Veronika Nugraheni Sri LITAMAHUPUTTY, JACOMINA VONNY Lusy Tunik Muharlisiani M. Aldi Hidayat Lamdho Mamadiyarov, Zokir Mansyur Mansyur Manvender Kaur Sarjit Singh Manvender Kaur Sarjit Singh Maret Sitanggang Mary Puthern Matturungan, Harfawan Meithiana Indrasari Mohamad Sudi Mohammad Aljanabi Muhammad Ade Kurnia Harahap Muhammad Ahmad Baballe Muqarranah Sulaiman Kurdi Musyarrafah Sulaiman Kurdi Mutmainnah, Muthia Nabila Turahma Niah Butarbutar Nia Maharani Raharja Nia Maharani Raharja Nofirman, N Novarezi, Wendi Tri Nur Mistari Nurhalimah Nurhalimah Nurhayati Nurhayati Nurmawati Nurmawati Omar Tanane Omar Tanane Prisma Megantoro Raditya Argananta Churyanto Rahmat Hidayat Ramadhani Prayoga Raudatul Innayah Restu Diyah Pramesti restu Rispa Ngindana Rosmawita Ningrum Rushendra, Rushendra S Suwarni Sahyunu Sahyunu Sanco Simanullang Santri W Pasaribu Sapinah, Sapinah Satria Prayudi Siewe Pougoue E.B. Siregar, Yulia Rahma Slamet Riyadi Suhanda, Yogasetya Sujatmiko, Dedi Sulaiman, Jihan Susatyo Adhi Pramono, Susatyo Adhi Syafrizaldi Syamsu Rijal T.Helmy, Elsayed Tasya Noorhaliza Toha Ardi Nugraha Toong Hai Sam Ursula Hadimeri Usanto S Usanto S Victor Jiménez-Díaz-Benito Virro I. Wajdi, Muh Barid Nizarudin Widjanarko, Andrei Widyatmike Gede Mulawarman Wim Winowatan Wulandari, Ike Yuni Yaya Finayani Yoga Ihsan Rianto Yoga Ihsan Rianto Yuaniko Paramitra