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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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Statistical Analysis to View Information Regarding The Influence of Brand Image, Satisfaction, Word of Muoth, and Price on The Purchase Decision of Avanza Brand Cars (Case Study of Showroom Consumers Fahmi's Used Car) Asri Winaldi Ritonga; Rizki Syahputra; Abd. Halim
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.jinav1526

Abstract

The purpose of this study was to analyze the influence of brand image, satisfaction, word of mouth and price on purchasing decisions for an Avanza brand car (a case study on consumers of Fahmi's used car showroom). This type of research is quantitative in nature, and the place for conducting the research is in the Fahmi Used Car Showroom. The research population is consumers of Fahmi's Used Car Showroom taken from September-November 2022 as many as 58 people. Samples were taken using a saturated sampling technique. Therefore,then all populations become the object of research, namely as many as 58 people. The research results show that Brand Image positive and significant effect on Buying decision. Satisfaction has a positive and significant effect on Buying decision.Word Of Mouth positive and significant effect on Buying decision.Price has a positive and significant effect on Buying decision. Brand image, satisfaction,word of mouth and price simultaneously positive and significant effect on Buying Decisions for Avanza Brand Cars at Fahmi's Used Car Showroom Consumers. The results of the analysis of the coefficient of determination of 0.793 means that purchasing decisions can be explained by brand image, satisfaction,word of mouth and a price of 79.3%.
Implementation of Regression Analysis to The Influence of Democratic Leadership, Communication, Work Culture, and Ability on Employee Performance in Regional Development Planning Agency Labuhanbatu District Muhammad Rizky Nugraha; Siti Lam'ah Nasution; Nova Jayanti Harahap
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.jinav1527

Abstract

This study aims to analyze The Influence of Democratic Leadership, Communication, Work Culture and Capability on Employee Performance at the Regional Development Planning Agency of Labuhanbatu Regency. The research method used in this research is quantitative. In this study, the population consisted of 60 employees of the Labuhanbatu Regency Regional Development Planning Agency. The research sample usesSampling technique is saturated by attracting the entire existing population to be used as a research samplea total of 60 people. Data collection techniques used were observation, documentation studies and questionnaires. The method of analysis of this research is multiple linear regression with the SPSS program. The research results prove that Democratic Leadership positive and significant effect on Employee Performance at the Regional Development Planning Board of Labuhanbatu Regency. Communication positive and significant effect on Employee Performance at the Regional Development Planning Board of Labuhanbatu Regency. Work Culture positive and significant effect on Employee Performance at the Regional Development Planning Board of Labuhanbatu Regency. Ability positive and significant effect on Employee Performance at the Regional Development Planning Board of Labuhanbatu Regency. Democratic Leadership, Communication, Work Culture And Capability simultaneously positive and significant effect on Employee Performance at the Regional Development Planning Board of Labuhanbatu Regency. The coefficient of determination is 0.732, meaning that employee performance can be explained by variables Democratic Leadership (X1), Communication (X2), Work Culture (X3) and Ability (X4) of 79.7%, while the remaining 20.3% can be explained by other variables not examined in this study.
Convex Combination Method on Probabilistic Fuzzy Multiobjective Transportation Problem with Pareto Distribution Eka Susanti; Oki Dwipurwani; Novi Rustiana Dewi; Indrawati Indrawati; Indri Yune Safira
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.jinav1538

Abstract

This article introduces a transportation model with two objective functions. The first objective function is the function which minimizes the total cost and the second objective function is the function which minimizes the total time. Parameters of source, destination and maximum capacity of transportation means are assumed to follow the Pareto distribution. The multiobjective transportation model is the development of a single objective transportation model. Parameters of the objective function are expressed by triangular fuzzy numbers. Fuzzy multi objective problems are transformed into a deterministic single objective using the convex combination method. The formulated model is applied to the problem of shipping metal crates. There are 3 types of conveyances namely HDL, Engkel and Wingbox. Obtained the optimal total cost of Rp. 3,770,294 and metal crates delivery time to be for 13 hours.
Fake News (Hoaxes) Detection on Twitter Social Media Content through Convolutional Neural Network (CNN) Method Fauzaan Rakan Tama; Yuliant Sibaroni
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.jinav1525

Abstract

The use of social media is very influential for the community. Users can easily post various activities in the form of text, photos, and videos in social media. Information on social media contains fake news and hoaxes that will have an impact on society. One of the most social media used is Twitter. This study aims to detect fake news found on the Tweets using the Convolutional Neural Network (CNN) method by comparing the weighting features used of the Term Frequency Inverse Document Frequency (TF-IDF) and the Term Frequency-Relevance Frequency (TF-RF). The highest accuracy was obtained in the Term Frequency-Relevance Frequency (TF-RF) weighting feature with an accuracy of 84.11%, while in the Term Frequency Inverse Document Frequency (TF-IDF) weighting feature with an accuracy of 80.29%.
Implementation of Regression Analysis to Test the Effect of Social Media, Work Motivation, Work Discipline on Increasing the Performance of Sipare-Pare Tengah Village Office Employees, Marbau District, North Labuhanbatu Regency Sanjaya, Mahmud Azi; Prayoga, Yudi; Halim, Abd.
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.jinav1534

Abstract

The purpose of this study was to determine and analyze the influence of social media, work motivation, work discipline on improving employee performance at the Sipare-Pare Tengah Village Office. The research method used in this study is a quantitative research method. This research also includes quantitative research that is correlational. The population in this study were all employees at the Sipare-Pare Tengah Village Office with a total of 44 people. The number of samples used in this study amounted to 44 people. Where the entire population is used as a research sample using the saturated sample method. The data used in this study is primary data, namely data obtained directly by researchers from measuring the length of the short intervals in the measuring instrument is the Likert scale. The data analysis technique used in this study is a quantitative data analysis technique using statistical methods. This study uses the calculation results of the IBM Statistical Package For The Social Science (SPSS) version 26 which aims to determine the significant level and relationship between the independent variables and the dependent variable. Partially, the social media variable (X1) has a positive and significant effect on the performance improvement variable by tcount value 2,636 > ftable 1,684 with a significant value of 0.215 > 0.05. Partially, the work motivation variable (X2) has a positive and significant effect on performance improvement variables with a tcount of 2,089 > ftable of 1,684 with a significant value of 0.000 <0.
Analyzing Cyberbullying Negative Content on Twitter Social Media with the RoBERTa Method Muh. Akib A. Yani; Warih Maharani
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.jinav1543

Abstract

Social media is an online-based communication tool that can make it easier for users to interact among fellow users without any area and time restrictions. Indonesia has the highest number of social media users in the world. The Twitter social media platform is a place where users can pour out their whole hearts in the form of tweets. Free and diverse interactions on Twitter have a considerable influence on the psychological condition of its users. Cyberbullying or online bullying is an act of humiliating or hurting other people's feelings intentionally and repeatedly on social media, messages, or in other ways. In this study, the RoBERTa classification method was used to detect cyberbullying tweets with a best accuracy score of 86.9% and an f1-score of 77.5%.
Performance Evaluation Fuzzy Logic Control on Low-Cost Medical Equipment Sterilizer Alex Wenda
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.jinav1547

Abstract

The equipment is not sterile when the health equipment is used repeatedly. Thus, it is at risk of infection. Data published by WHO reveals that one out of every ten hospital patients gets an infection. In developed countries, the number of infected hospital patients reaches 30%, while in developing countries it is at least 2-3 higher. One way to reduce the occurrence of infection is to sterilize medical equipment through a dry heat sterilization process at 1700 C for 60 minutes. The high price of sterilizers means that many health centers and clinics do not have this equipment. The aim of this study was to design a low-cost dry heat type health equipment sterilizer using fuzzy logic as a controller and evaluate the performance of the controller. Regarding to the research result, it indicated that the controller performance evaluation was very good with the highest overshoot value of 1.1%, the steady state error value was 1.1%, and the fastest rise time was 240 seconds.
Image Recognition of Malaria-infected Red Blood Cells among Other Normal and Cancer-Mutated Cells Using CNN Goldy Valendria Nivaan
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.jinav1552

Abstract

Malaria is a contagious infectious disease that is still threatening human life. Malaria morbidity when viewed by province shows that Eastern Indonesia is the area with the highest Annual Parasite Incidence (API), namely Papua, West Papua, NTT, and Maluku. This is a concern for the continued efforts to control and eliminate malaria in these high malaria-endemic areas. There are many strategies to help and prevent, include the possibility of innovation in the diagnostic process. Therefore, to answer how to provide innovation in technology to accelerate the elimination of malaria, this study aims to identify the image of red blood cells which infected with malaria among other normal and leukemia cancer-mutated cells (non-malaria) by making improvements through the proposed new model used. This model is meant to do deep learning using Convolutional Neural Network (CNN). The results obtained in this study show that the success of using the proposed model is influenced by the pre-processing stage, the dropout regularization function, learning rate, and momentum value used. The accuracy value obtained is 0.9660, 0.9693 precision, 0.9626 recall, and an F1 score of 0.9659.
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.
Sand Soil Image Processing Using the Watershed Transform and Otsu Thresholding Based on Gaussian Noise 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.jinav1564

Abstract

Image processing technology is one of the technologies that can help facilitate and speed up human work, especially in the process of determining the grain size distribution of soil in a civil building plan. Its utilization has been widely used to study, analyze, and understand the structure and framework of the soil. Image analysis is carried out as an initial or fundamental step in image processing to discover and comprehend information. With so many image segmentation methods, it is necessary to conduct research to determine which method is best for sandy soil image segmentation based on one of the image segmentation quality criteria, namely gaussian image noise. By testing the watershed transform method and the Otsu thresholding method as two of the area-based methods that are considered suitable for segmenting sandy soil images before and after distorted Gaussian noise based on the calculation of the mean square error (MSE) value.The results showed that the watershed transform method is better for segmenting sandy soil images when compared to the Otsu thresholding method. This is indicated by the average squared error (mse) of 3.08 for the watershed transform method and 4.09 for the Otsu Thresholding method. In addition to the comparison of quality tests of sandy soil based on gaussian noise with standard deviation values of normal distribution and noise intensities of 10, 20, and 30, it proves that the watershed transform method is still better at segmenting noise-distorted sandy soil images than the Otsu thresholding method. However, in terms of processing time, the Otsu Thresholding method is faster or better than the Watershed Transform method. of the results or conclusions brief. There are no citations, tables or figures in abstract.

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