JINAV: Journal of Information and Visualization
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.
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<![CDATA[Encrypted Email For Local Government Information Security In South Sumatra ]]>
<![CDATA[Ratu Mutialela Caropeboka]]>;
<![CDATA[Januar Effendi]]>;
<![CDATA[Isna Wijayani]]>;
<![CDATA[Rahma Santhi Zinaida]]>
<![CDATA[ JINAV: Journal of Information and Visualization Vol. 3 No. 2 (2022) ]]>
Publisher : <![CDATA[PT Mattawang Mediatama Solution ]]>
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DOI: 10.35877/454RI.jinav1395
<![CDATA[This study obtains an overview of the conditions of the encryption email management workflow among local governments in South Sumatra. The workflow for managing email encryption for regular official news has been going very well. Meanwhile, the workflow for managing encryption of emails for confidential news is still experiencing problems, especially for local governments that do not have cipher expert personnel and official cipher equipment from the BSSN. In addition, this study also illustrates that the application of information security theory in the use of encrypted emails for confidential news between local governments in South Sumatra is not optimal. The main obstacle faced is that there are still local governments that do not have cipher expert personnel and official cipher equipment from the BSSN. The quality of the workflow is measured by looking at the fulfillment of the main elements contained in the Standard Operating Procedures (SOP) of the encryption email management workflow. The quality of using email encryption for information security is carried out by analyzing the fulfillment of the elements contained in the information security theory.]]>
<![CDATA[Quality Improvement on SMEs: Trend and Visualization with Bibliometric Analysis ]]>
<![CDATA[Abdurrahman Rahim Thaha]]>
<![CDATA[ JINAV: Journal of Information and Visualization Vol. 3 No. 2 (2022) ]]>
Publisher : <![CDATA[PT Mattawang Mediatama Solution ]]>
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DOI: 10.35877/454RI.jinav1407
<![CDATA[The purpose of this study is to discover the mapping and research trends of quality improvement in Small and Medium-sized Enterprises (SMEs) that Scopus index. A bibliometric analysis was conducted in this study from 1992 to mid-2022. The keywords quality improvement and SMEs are used in the title, abstract, and keywords for further filtering and screening manually. The analysis results yielded 114 relevant articles with the peak publications in 2019. India became the country with the highest quantity of publications, and the United Kingdom became the country with the most citations. Three cluster topics formed: SMEs' adaptation to consumer desires with quality processes and products, companies' challenges in accommodating the market without sacrificing product quality, and impact quality management to improve community outcomes with standardization. This paper provides an updated overview of research related to quality improvement and SMEs.]]>
<![CDATA[Classification in the Self Monitoring System for Chronic Kidney Failure Patients on Hemodialysis Therapy with SVM ]]>
<![CDATA[Teguh Andriyanto]]>;
<![CDATA[Erna Daniati]]>
<![CDATA[ JINAV: Journal of Information and Visualization Vol. 3 No. 2 (2022) ]]>
Publisher : <![CDATA[PT Mattawang Mediatama Solution ]]>
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DOI: 10.35877/454RI.jinav1410
<![CDATA[Patients with chronic kidney failure (CKF) need intensive care or therapy. Chronic kidney failure is a condition when kidney function decreases gradually due to damage to kidney tissue. Patients with these conditions need to undergo hemodialysis therapy which can be done every week. The results of this therapy need to be monitored to determine the quality and action after therapy. Monitoring of therapeutic results was initially carried out with medical records where the files were kept by the health agency. In addition, patients need to consult a doctor or nurse to read this medical record. This becomes an obstacle for patients to know the progress of their therapy results. Therefore it is necessary to have a monitoring system as a management information system for patients with chronic kidney failure. Conventional monitoring systems need to include visualization methods or quality fees from doctors. Therefore it is necessary to include the classification method as knowledge of the system to study patterns or rules from doctors in handling the quality of therapeutic results. This classification method uses the Support Vector Machine (SVM) with the Linear kernel as the classification method. In this study, the accuracy obtained with SVM was 90% with a short data training processing time.]]>
<![CDATA[The Effect of Review Video Making on Problem Based Learning to Spatial Ability ]]>
<![CDATA[Dewi Satria Ahmar]]>;
<![CDATA[Muhammad Fath Azzajjad]]>;
<![CDATA[Ansari Saleh Ahmar]]>
<![CDATA[ JINAV: Journal of Information and Visualization Vol. 3 No. 2 (2022) ]]>
Publisher : <![CDATA[PT Mattawang Mediatama Solution ]]>
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DOI: 10.35877/454RI.jinav1441
<![CDATA[The aims of thi study is to know the effect of review video making on problem based learning to spatial ability. This research is a quasy experimental research using posttest only control design. The experimental class applied video review on problem-based learning model and the control class did not do video review but only applied problem-based learning model. The population in this study amounted to 49 people and the research sample was 40 people. The sampling technique used in determining the research sample was purposive sampling technique. The research instrument used an essay test which was prepared based on indicators of spatial ability consisting of spatial perception, mental rotation, and spatial visualization. Data analysis techniques include descriptive analysis and inferential analysis. Descriptive data analysis describes the comparison of spatial ability scores of experimental and control classes while inferential analysis is used to test the hypothesis. Descriptive analysis of spatial abilities obtained the average value of the experimental class and control class is 90.50 and 59.50, The results of the spatial ability analysis test using the Mann-Whitney test showed a significance value <0.05, indicating that there is an effect of reviewing student-made videos in the Problem Based Learning Integrated Project assignment learning model on spatial abilities.]]>
<![CDATA[Applied of Statistics to Building Entrepreneurship Intention Through Self Efficacy, Adversity Quotient, and Need for Achievement In Students of The Faculty of Economics and Business, Labuhanbatu University ]]>
<![CDATA[Andri Yusuf]]>;
<![CDATA[Rizki Syahputra]]>;
<![CDATA[Junita Lubis]]>
<![CDATA[ JINAV: Journal of Information and Visualization Vol. 3 No. 2 (2022) ]]>
Publisher : <![CDATA[PT Mattawang Mediatama Solution ]]>
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DOI: 10.35877/454RI.jinav1456
<![CDATA[The purpose of this study is to find out the true picture of self-efficiency, adversity quotient and need for achievement in building entrepreneurial intentions in students. Collecting data in this study through research with a type of quantitative research in the form of distributing questionnaires. This research uses descriptive analysis, classical assumption test, multiple linear regression test and partial test. Respondents in this study were 65 students of the Faculty of Economics and Business, Labuhanbatu University. The results of this study state that self-efficacy, adversity quotient and need for achievement have a positive and significant effect on building entrepreneurial intentions in students of the Faculty of Economics and Business, Labuhanbatu University. The coefficient of determination obtained is 0.678, it indicates that self-efficacy, adversity quotient and need for achievement owned by students of the Faculty of Economics and Business, Labuhanbatu University, have presented a contribution of 67.8% in building entrepreneurial intentions. The remaining 32.2% was used as a contribution from outside this study which was not examined by researchers.]]>
<![CDATA[Optimizing Decision Making in Manufacturing: An Analysis of the Effectiveness of a DSS Using the Weighted Product Method ]]>
<![CDATA[I Gede Iwan Sudipa]]>;
<![CDATA[Endang Setyawati]]>;
<![CDATA[Fajriana Fajriana]]>;
<![CDATA[Jimmy Moedjahedy]]>;
<![CDATA[Iwan Adicandra]]>;
<![CDATA[Robbi Rahim]]>
<![CDATA[ JINAV: Journal of Information and Visualization Vol. 3 No. 2 (2022) ]]>
Publisher : <![CDATA[PT Mattawang Mediatama Solution ]]>
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DOI: 10.35877/454RI.jinav1477
<![CDATA[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.]]>
<![CDATA[Website-Based E-Commerce System Design and Build to Increase Online Sales at Funika Furniture ]]>
<![CDATA[Jaka Abdul Jabar]]>;
<![CDATA[Dian Anubhakti]]>
<![CDATA[ JINAV: Journal of Information and Visualization Vol. 3 No. 2 (2022) ]]>
Publisher : <![CDATA[PT Mattawang Mediatama Solution ]]>
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DOI: 10.35877/454RI.jinav1480
<![CDATA[This study examines how the role of website-based e-commerce used can increase the online sale of the Funika furniture company. Descriptive research is research used by researchers in this study. Researchers describe facts, data and information obtained from literature studies such as books and journals to research results related to the research topic. In this study, it is explained that along with the development of technology and information, people's demands for convenience in all fields are getting bigger. One of them is the ease of making buying and selling transactions. The demands of this society encourage various individuals, groups and companies to innovate better in making it happen. The development of ICT greatly facilitates entrepreneurs to innovate in their efforts to conduct transactions and marketing online, namely through website-based e-commerce. Various advantages and benefits can be felt to the maximum if the application and utilization are made properly. For consumers, this site will greatly facilitate them in shopping and transacting without having to be limited by time and place. Meanwhile, for entrepreneurs and companies such as the furniture company Funika, this can be a great opportunity to develop their business by increasing online sales to increase company revenues and profits.]]>
<![CDATA[Convolutional Neural Network (CNN) Method for Classification of Images by Age ]]>
<![CDATA[Nurtiwi Nurtiwi]]>;
<![CDATA[Ruliana Ruliana]]>;
<![CDATA[Zulkifli Rais]]>
<![CDATA[ JINAV: Journal of Information and Visualization Vol. 3 No. 2 (2022) ]]>
Publisher : <![CDATA[PT Mattawang Mediatama Solution ]]>
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DOI: 10.35877/454RI.jinav1481
<![CDATA[Image classification is one of the studies that is currently being developed. The details of the characteristics that must be captured make researchers compete to find the most suitable method for classifying. The Convolutional Neural Network (CNN) algorithm is one of the most superior algorithms in the field of object classification and identification today. With the help of several packages contained in Google Colab for classification, this algorithm is easier to use. In this study, the target case is the age of a person who will be classified using photos or images taken from the internet which are then stored in the form of Google Drive. The research data used is divided into 2 parts, namely for training data as many as 23.440 images, and 10,046 for testing data. Then to facilitate the extraction of features from the features to be identified, the researchers carried out the preprocessing stage, namely grayscale images, and data augmentation. The purpose of this study is to implement the concept of Deep Learning with Convolutional Neural Networks (CNN) in image classification and to determine the level of accuracy of the CNN model in classifying images. After the algorithm is run and the model has been formed, an accuracy of 78.5% is obtained. It can be concluded that the Convolutional Neural Network (CNN) method is good at classifying images]]>
<![CDATA[Financial Technology and Human Resource Competency in Financial Management for UMKM at Palopo City ]]>
<![CDATA[A. Wulan Lestari]]>;
<![CDATA[Antong Antong]]>;
<![CDATA[Halim Usman]]>
<![CDATA[ JINAV: Journal of Information and Visualization Vol. 3 No. 2 (2022) ]]>
Publisher : <![CDATA[PT Mattawang Mediatama Solution ]]>
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DOI: 10.35877/454RI.jinav1483
<![CDATA[Abstract This study aint to determine the effect of fintech and human resource competencies in the financial management of umkm in palopo city. The data source in this study is primary data. The primary data used in this study were obtained from distributing questionnaires. The population selected for this study were UMKM in Palopo City. Respondents were given a number of statements and then asked to respond with their own statements. Furthermore, respondents were asked to fill out the questionnaire using an anonymous system. This approach aims to avoid potential bias during the data collection process. The research method used is quantitative method and analyzed using Structural Equation Model (SEM) approach using AMOS software. The questionnaire in this study was prepared based on the variables to be tested, namely Financial Technology, Resources, Financial Management of UMKM. All variables are measured using a Liket scale with 5 (five) alternative answers. The following are the specifications: 1) Strongly Disagree; 2) Disagree; 3) Neutral; 4) Agree; 5) Strongly Agree. The results showed that (1) The results of data analysis show that human resource competencies affect financial technology. (2) The results showed that simultaneously the umkm financial management variable had a significant influence on financial technology. (3) While the results of umkm financial management variables have an effect on human resource competencies. Keywords: Fintech, Finance, Human Resources, Management, UMKM]]>
<![CDATA[Leveraging the Decision Support System and Simple Additive Weighting Method for Optimal Retail Location Identification ]]>
<![CDATA[Muhammad Ade Kurnia Harahap]]>;
<![CDATA[Hardisal Hardisal]]>;
<![CDATA[Ahyuna Ahyuna]]>;
<![CDATA[Robbi Rahim]]>
<![CDATA[ JINAV: Journal of Information and Visualization Vol. 3 No. 2 (2022) ]]>
Publisher : <![CDATA[PT Mattawang Mediatama Solution ]]>
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DOI: 10.35877/454RI.jinav1485
<![CDATA[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.]]>
