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All Journal Journal of Computer and Information Al Ishlah Jurnal Pendidikan International Journal of Artificial Intelligence Research Jurnal Review Pendidikan dan Pengajaran (JRPP) Building of Informatics, Technology and Science Jurnal Informasi dan Teknologi JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI JINAV: Journal of Information and Visualization Bulletin of Information Technology (BIT) International Journal Software Engineering and Computer Science (IJSECS) Green Intelligent Systems and Applications Innovative: Journal Of Social Science Research Global Education Journal Journal of Computer Science Advancements Technologia Journal
Iwan Adhicandra
Universitas Bakrie
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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Journal : JINAV: Journal of Information and Visualization

 1 
Forecasting Analysis of Fishermen’s Productivity Data Using Single Exponential Smoothing Taufiq Dwi Cahyono; Heri Purwanto; Iwan Adhicandra; Kraugusteeliana Kraugusteeliana; Edy Winarno
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.jinav1487

Abstract

One of the reasons why it is vital to forecast fisher production data in coastal regions is to increase fish resource management efficiency. By calculating the number of fishing boats, the amount of fish that must be caught, and the amount of raw materials required for fish processing based on the anticipated amount of fishermen's production in the following period, decision-makers can determine the amount of fish that must be caught and the amount of raw materials required for fish processing. So that the objective of the research is to forecast fishermen's production data using the Single Exponential Smoothing method, this method is effectively used to perform forecasting of time series data with short period data intervals to produce forecasts for the next period, and it can measure the rate of change of fishermen's production data each period. The results of forecasting data on fishermen's production utilizing time series data intervals from October 2022 to January 2023 to make forecasts for February 2023, namely a MAPE error rate of 2.85%, indicate that the forecasting results are within the "good" category.
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.
Co-Authors Alam, Sitti Nur Ali Ibrahim Andik Adi Suryanto Asfahani, Asfahani Astika AyuningTyas, Astika Bekti Yulianti Cynthia Rahmawati Edy Winarno Faiz Muqorrir Kaaffah Fata Nidaul Khasanah Fauzan, Tribowo Rachmat Feri irawan Heri Purwanto Herli Sumerli A, Chevy Hoga Saragih Indriyani Indriyani Jacomina Vonny Litamahuputty Jeperson Hutahaean Jimmy H Moedjahedy Kraugusteeliana Kraugusteeliana Krisnawati, Nova Lase, Delipiter Maharaja, Chandra Halim Mas'ud Muhammadiah Meithiana Indrasari Muhammad Agus Muljanto Novrini Hasti NURHIDAYATI, SAFITRI Nurwijayanti Kusumaningrum Octiva, Cut Susan Putri, Desfita Eka Raden Mohamad Herdian Bhakti Robbi Rahim Rudi Wicaksono Ruktiari Ismail, Rima Sabri Sabri Sahyunu Sahyunu Sitti Rachmaeati Yahya Sri Wahyuningsih, Suluh Sucahyo, Nur Suhanda, Yogasetya Sukmawati, Ellyzabeth Taufiq Dwi Cahyono Usanto S Widjaja, Warkianto Wijaya, Hamid