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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 139 Documents
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An Important Aspect of Satisfaction on Mobile Apps: An Usability Evaluation Based on Gender Dessy G. Palyama; Golda Tomasila
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.jinav1568

Abstract

The quality of the feasibility of a mobile application can be measured by evaluating the usability using certain testing methods. The refore to improve the performance of mobile applications, it is necessary to measure the level of satisfaction and user acceptance of the application. This study aims to improve the quality of the Myelkomsel mobile application by measuring the level of satisfaction and acceptance of end-users and evaluating the relationship between the level of user satisfaction with user gender differences using the System Usability Scale (SUS) method. Data collection was carried out by distributing questionnaires to 46 Telkomsel provider users consisting of 22 male users and 24 female users. The results showed that the average SUS score was 71.96 for the whole user. According to the calculation of the level of user acceptance included in the category of Acceptable, the scale of the class level is included in category C, and the ranking is included in the good category. While the results of calculations from the SUS Percentile Rank Score show that the MyTelkomsel mobile application is in class C. There are no significant differences according to gender, the average SUS score of the male is 71.93, and female is 71.98 so that gender differences do not affect the level of satisfaction and acceptance application. It can be seen that the level of end-user satisfaction from the MyTelkomsel mobile application is good but still has possible problems with its use
Website-Based Development of Learning Management System using V-Development Method Model (Case Study: UNRI, Informatics Engineering Study Program) Salsabilla Azahra Putri; Feri Candra
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.jinav1575

Abstract

Developers often use a software development model, namely the waterfall or classical models. Waterfall uses a systematic approach, so it tends to be archaic and will cause significant problems. The problems appeared when the process at the previous stage experiences happened, so the process could not go to the next stage. In addition, the tests were carried out for the solution to the problem. There was a need for a v-model development model. This model is the waterfall model development, then described in the form of v, and there was testing in each phase. This V-Model is an excellent model because it has good illustrations and clarity. The Website Learning Management System is built using the PHP programming language. Based on the results of the testing unit, the software used whitebox, and all units could run 100% well. Meanwhile, integration testing and testing systems using black boxes were 100% running well. Acceptance testing using ISO 25010 consisted of eight characteristics: functionality, efficiency, compatibility, usability, reliability, maintainability, security, and portability. These aspects could run well.
Decision Making System for Visitor Satisfaction of Labuhanbatu Library Using K-Means Method Martiwi Sitorus; Masrizal Masrizal; Rahma Muti’ah
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.jinav1591

Abstract

The K-Means research technique is used in this study. By using Satisfaction Variables and visits to college libraries, this research was conducted at the Labuhanbatu library. Researchers used a sample of 35 visitors for this study, which were tested using the Rapidminer data processing application. Where the results of this study showed the results of 18 people were satisfied and 17 people were neutral. Where it is stated that most visitors are satisfied with library services.
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.
Marketing Campaign Insight in Open and Distance Learning Higher Education from Internet Analytic Rahmat Budiman; Abdurrahman Rahim Thaha; Gunawan Wiradharma
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.jinav1601

Abstract

This study aims to find marketing campaigns that match the interests of the online audience at the Universitas Terbuka (UT) as an Open and Distance Learning (ODL) institution in Indonesia. Keyword research is used as a research method with the help of the keyword everywhere tool to get insights from keywords. Universitas Terbuka has high internet searches, indicating a high level of audience interest. Area and academic themes became the highest audience interest in the June-August range. Universitas Terbuka can create and schedule content based on keyword research findings. This research provides insight into a practical marketing plan that can be made based on keyword research so that it is effective and in the interests of the audience on the internet.
Solution Optimal Transportation Problems Using the Sirisha Viola Modification Method Python assisted programming Fahrudin Muhtarulloh; Aisyah Maulidina; Arief Fatchul Huda
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.jinav1660

Abstract

One of the problems that exist in operations research is the problem of transportation. This study proposes the completion of the optimal solution in the transportation problem using the Modified Method of the Sirisha Viola method. The method proposed hereinafter is called the Sirisha Viola Modified Method . The algorithm in this method is the same as in the Sirisha Viola method but differs in the allocation step, where the allocation is made to the minimum demand first, then compared with the corresponding supply value. The data used in this study consisted of secondary data and simulated data (random data). The results of numerical calculations or using the help of the Python program for secondary data obtained an optimal solution of 12,100 cost units. Whereas for random data consisting of 4 0 balanced data and 40 unbalanced data with sizes 10 x 10, 13 x 17, 25 x 27, and 50 x 50 the optimal solution results are obtained. It is concluded that the Sirisha Viol a Modification Method in solving transportation problems can produce optimal solutions directly without the need to determine the initial feasible solution.
Bibliotherapy: Awareness and Use among Medical Library Workers in Ogbomoso Olajide John Abiola; Adebola Aderemi Olatoye
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.jinav1669

Abstract

The concept of bibliotherapy draws upon various academic fields, such as medicine, literary criticism, librarianship, and psychology, to promote the use of reading as a therapeutic tool. This study aimed to explore the extent to which medical library workers are aware of and utilize bibliotherapy. Using a descriptive survey design, the study employed Slovin's formula and simple random sampling to select 24 respondents from a population of 45 medical library workers. The findings revealed that the medical library workers had a good understanding of bibliotherapy. Therefore, it is recommended that they should be equipped with the necessary skills to provide bibliotherapy services, and given the opportunity to practice it.
Development of Septic Tank Monitoring System through Sensor Technology and Augmented Reality Winata, Stephen; Haryono, Haryono
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.jinav1738

Abstract

Septic tank is a dumping place for human waste. However, the presence of septic tanks can also cause many diseases and dangers to the environment. Leaking or overflowing septic tanks can threaten the surrounding environment. This research aims to design and develop a system that can monitor the volume and gas levels in septic tanks to prevent hazards caused by uncontrolled septic tanks. The researcher utilized MQ-4 sensor and JSN-SR04T distance sensor to detect volume and gas in septic tanks. In order to retrieve data from the sensor, a microcontroller is required that uses ESP 32 as a liaison between the sensor and Blynk. Blynk is used as a connecting application between augmented reality and microcontrollers. Data sent from Blynk was then retrieved through the Blynk API and can be displayed on augmented reality using Unity's Vuforia SDK. The researcher employed the prototype method in this study to design the application prototype. This application can run smoothly and provide accurate data on the volume and gas in the septic tank. Thus, this monitoring system can help to prevent environmental and human health damage caused by uncontrolled septic tanks.
Trend Analysis of The Effect of LQ45 Stocks on Stock Price Index Fluctuations using the C4.5 Algorithm with Correlation-Based Feature Selection and Information Gain Fitra Nur Asri, Muh; Edi Widodo, Catur; Sediyono, Eko
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.jinav1836

Abstract

The research was conducted to reveal the effect of LQ45 stock on the accuracy of stock price index fluctuations using the C4.5 algorithm with Correlation-Based Feature Selection (CFS) and Information Gain (IG) techniques. This study used the superior C4.5 algorithm using a combination feature selection technique between Correlation-based Feature Selection (CFS) and Information Gain in the hope of getting accurate results. Analysis conducted on the LQ45 index through various stages that include data collection, manual pre-processing, validation methods, process features, decision tree model result, and classification accuracy performance. The result of test revealed that the implementation of the C4.5 algorithm using correlation-based feature selection (CFS) and information gain techniques can be applied well to LQ45 stocks. The accuracy generated from the original data (without the selection feature) was 77.857%, while the addition of features to the combination of Correlation-Based Feature Selection (CFS) and Information Gain had a large influence on the results of increasing data accuracy from the accuracy of the original data by 77.857% to 78.333%. Thus, the C4.5 calculation process with the Correlation-based Feature Selection (CFS) feature selection technique alone cannot improve the accuracy level, while when combined with the Information Gain technique, the accuracy processing results will be better (higher).

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