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Ansari Saleh Ahmar
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JINAV: Journal of Information and Visualization
Published by PT. Mattawang Mediatama Solution
ISSN : -     EISSN : 27461440     DOI : https://doi.org/10.35877/jinav
Core Subject : Science, Education, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Library & Information Science Mathematics
JINAV: Journal of Information and Visualization is an international peer-reviewed open-access journal dedicated to interchange for the results of high-quality research in all aspects of information science and technology, data, knowledge, communication, and their visualization. The journal publishes state-of-art papers in fundamental theory, experiments, and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion, and concise conclusion. As our commitment to the advancement of science and technology, the JINAV follows the open access policy that allows the published articles freely available online without any subscription.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 14 Documents
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Search results for , issue "Vol. 4 No. 2 (2023)" : 14 Documents clear
Short-term Forecasting of Covid-19 Cases in East Java of Indonesia using NARX-NN Model Hermansah; Rosadi, Dedi; Novianti, Pepi
JINAV: Journal of Information and Visualization Vol. 4 No. 2 (2023)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav2356

Abstract

The goal of this study is to forecast short-term verified Covid-19 infections in East Java of Indonesia using the NARX-NN model. Here, the external variable used was the weather of East Java. The confirmed data for Covid-19 were obtained from the BNPB, and the weather data of East Java were obtained from the BMKG. Data from July 21st, 2020 to June 20th, 2021, were used for model formation (training data), and data from June 21st to 27th, 2021 were used for validation data. Based on the formatting model results, we can conduct a short-term forecast for three future periods (June 28th to 30th, 2021). This research evaluated the NARX-NN model using the forecasting accuracy of MAPE. The NARX-NN approach is more suitable than the NAR-NN method for predicting daily confirmed Covid-19 cases in East Java, based on the forecasting results of the NAR-NN and NARX-NN methods. The MAPE value was 0.03060 (0.03248 smaller than the MAPE value of the NAR-NN). At the conclusion of the study, the NARX-NN approach was utilized for daily forecasting of Covid-19 instances in East Java from June 28th to June 30th, 2021, namely 1039, 1072, and 1185.
The Acceptance of Technology in Human Resource Management : Readiness e-HRD Among Healthcare Workers Using Binary Logistic Regression Mellita, Dina; Zainal, Rabin Ibnu; Rafiansyah, M. Darrel
JINAV: Journal of Information and Visualization Vol. 4 No. 2 (2023)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav2418

Abstract

This research aims to identify the readiness of healthcare professionals in regional hospitals to use e-HRD technology. The use of technology in HRM functions is essential to maintain the efficiency and capabilities of human resources within an organization. E-HRD platforms are computerized systems that support the effective and efficient management of HR processes within an organization. To assess the efficiency of employing this technology, it is essential to determine the preparedness of the users. The Technology Readiness Index (TRI) proposed by Parasuraman is applied to assess healthcare workers' preparedness for using e-HRD. The UTAUT (Unified theory of acceptance and use of integrated technology) theory is employed to identify technological readiness. A quantitative descriptive research design is employed to identify the readiness of hospital healthcare workers. The data source for this research is primary data obtained through a questionnaire. The population in this study consists of 420 healthcare workers employed in regional hospitals in the city of Palembang. The sampling technique used in this research is proportional stratified random sampling. Logistic regression is employed to assess the preparedness of healthcare professionals in regional hospitals. The research findings indicate that male healthcare workers have a tendency to be 1.843 times more prepared to use e-HRD compared to female healthcare workers. The likelihood of healthcare workers using e-HRD tends to decrease by 0.002 times with increasing age. The research concludes that healthcare professionals in regional hospitals are moderately prepared to use e-HRD technology. The study recommends that healthcare organizations should provide training and support to enhance healthcare workers' readiness to use e-HRD technology.
The Implementation and Integration of UIUX Design within the Joobify Application through the Utilization of the Lean UX Methodology Nanuru, Freedom George; Tuhuteru, Hennie; Nivaan, Goldy Valendria
JINAV: Journal of Information and Visualization Vol. 4 No. 2 (2023)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav2461

Abstract

The development of digital technology has brought fundamental changes to various aspects of human life, including job searching. The utilization of digital technology in job search has provided broader and more flexible access for job seekers. The purpose of this writing is to build a user experience (UX) and personalization system to ensure that received information is conveyed clearly without being overwhelming. The method used is Lean User Experience (UX), which focuses on reducing time and costs in the development process. Data collection techniques include literature studies and questionnaires. The results obtained indicate the successful implementation of the interface on the Joobify website, with a success rate exceeding 80% in usability test using the “Maze” website platform. In conclusion, integrating and designing UI/UX on the Joobify website can help job seekers quickly access job vacancy information, save transportation costs, and expand their job search reach based on their skills and interests
Digital Visual Selective Attention System (VSAS) Platform Based on Sociotechnical Design to Encourage Communication and Democratic Participation in Indonesia Amin, Zaid; Zinaida, Rahma Santhi; Regina V. H., Genoveva; Aprinda, Ria
JINAV: Journal of Information and Visualization Vol. 4 No. 2 (2023)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav2884

Abstract

Demonstrating attentive behavior when users decide to share information on social media is vital. Such attentiveness helps users more effectively identify misinformation, allowing them to avoid being misled by hidden deceptive content. The rapid increase of information in online media today means that the dissemination of misinformation can have serious negative consequences, such as threatening political stability and democracy, which can lead to societal divisions. While many studies have investigated the traceability and prediction of misinformation spread, additional research is necessary to understand and prevent the disruptions in human attention that contribute to this issue. This leads to questions about how technological interventions can enhance user awareness during the decision-making process of sharing information, especially to promote honest and constructive communication in a democratic context. The objective of this research is to examine and intervene in the factors of user attention when sharing information online, particularly regarding communication and democratic participation in Indonesia. This study employs a mixed-methods design, combining both quantitative and qualitative approaches. It is structured into two phases: Study 1 involves an investigation into the importance of attention factors in social media sharing through a self-report survey with adult participants from Palembang. Additionally, in Study 2, we designed and tested a Visual Selective Attention System (VSAS) using a Sociotechnical Design approach to influence decision-making by implementing an attention-focused design. We hope that the future development of interactions within a VSAS-based social media application will yield sustainable insights that encourage a non-coercive approach to managing the sharing of misinformation, thereby supporting transparent and fair communication and democratic participation (LUBER and JURDIL) in Indonesia.

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