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JOIV : International Journal on Informatics Visualization
Published by Politeknik Negeri Padang
ISSN : 25499610     EISSN : 25499904     DOI : -
Core Subject : Science,
Computer Science & IT
JOIV : International Journal on Informatics Visualization is an international peer-reviewed journal dedicated to interchange for the results of high quality research in all aspect of Computer Science, Computer Engineering, Information Technology and 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 JOIV follows the open access policy that allows the published articles freely available online without any subscription.
Arjuna Subject : -
Articles 1,172 Documents
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Improving the Response Time of Online Letter Management Application Users: an Application of Social Representation Theory of Shame Marzal, Jefri; Budiman, Wahyu; Adrefiza, -; Hutabarat, Benetika F.; Kurniawan, Wawan
JOIV : International Journal on Informatics Visualization Vol 5, No 1 (2021)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.1.442

Abstract

One of the most important and potential problems encountered in an official online letter management application is the recipients' late response. This action research aims to improve the recipients' response time and determine the central core of shyness according to response time categories: less than 24 hours (green zone); between 24 hours to 48 hours (orange zone); and more than 48 hours (red zone) in managing formal online letter management system at Jambi University. Using the social representation theory of shyness as the basis of action adopted from Moscovici theory [1], it is hypothesized that response time displaying will impact response time improvement. A survey questionnaire distributed to 129 respondents showed a significant improvement in the participants' response time, respectively, in cycles 1 and 2. The zone group increased percentage sed from 22.44% to 52.49 % in the first cycle, and it ultimately raised to 62.38% at the end of the second cycle. Such an increase might be due to the users' efforts to avoid the level of shyness, which were classified into: (1) slow to respond and (2) personal or work unit late response time – both marked in red. It is recommended that social shyness incorporated in improving response time in a formal online letter can be further implemented with other social and psychological parameters. The application will illustrate computer systems' interaction on social society to implement regulations both in institutions and in government.
Autopilot Unmanned Smart Boat Vehicle (AUSV) Communication with LoRa RFM95 Arfianto, Afif Zuhri; Rahmat, Mohammad Basuki; Dhiyavia, Fuad; Santoso, Tri Budi; Gunantara, Nyoman; Supriyanto, Eko; Ardhana, Valian Yoga Pudya
JOIV : International Journal on Informatics Visualization Vol 4, No 4 (2020)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.4.4.492

Abstract

Autopilot is a system control application on moving vehicles such as airplanes, helicopters, or boat, which serves to stabilize the direction of motion in the desired time and the programmed path's direction. the autopilot control system is controlled by a series of microcontrollers and GPS that has the function to be able to determine and the desired object. This control system is designed with electrical system controls that utilize microcontrollers, sensor  and GPS as control media. The development of autopilot prototypes is used for testing new control algorithms and the reliability of other electronic components such as sensors and microprocessors. A control system is needed to control the boat to its destination. The relatively accurate system dynamics model affects the steering performance of the autopilot system. The system in question can be considered a boat with an actuator rudder, which experiences external disturbances. this system is broadly divided into two parts: the control station part and the autonomous boat part. These two parts communicate with each other using LoRa device. The data sent from the control station to the autonomous boat is target latitude and longitude coordinates. The autonomous boat will send feedback in the form of boat latitude and longitude coordinates so that users can find out the current location of the boat. Autonomous Boat also provides feedback to the control station via LoRa in the form of boat coordinates so that users can find out the current location of the boat and whether the boat has reached the specified coordinates. The control station will send feedback from the boat to a database that can be monitored via the website to find out the boat's current condition on the website. Based on the  results that have been obtained in the analysis and testing of the system. GPS sensor used in autonomous boat Ublox NEO-7m has an accuracy level with an average distance value of 3.220921 meters with the lowest cold start time of 7 seconds.  Compass sensor used in autonomous boat CMPS11 has an accuracy level with an average value of 3.041667 degrees. Communication distance between autonomous boat and control station using LoRa with 5dBi antenna can reach 1406.79 meters in condition without obstruction between nodes.  Data delivery system can be successfully sent from user to autonomout boat and sending feedback back to user. Delay update of boat coordinate data on interface has the lowest average of 30.8 seconds. Based on turning circle test results, autonomous boat is able to create imperfect circles with a radius of 8,364 m.
Hesitant Fuzzy-Stochastic Data Envelopment Analysis (HF-SDEA) Model for Benchmarking Abdullah, Dahlan; Hartono, -; Erliana, Cut Ita
JOIV : International Journal on Informatics Visualization Vol 5, No 1 (2021)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.1.405

Abstract

The Data Envelopment Analysis (DEA) method is a method commonly used in benchmarking. The Dynamic Data Envelopment Analysis (DDEA) method was proposed to improve the DEA method in the benchmarking process. The DDEA method proposed can determine the effectiveness of the Decision Making Unit (DMU). The disadvantage of the DDEA model is that it cannot handle problems that involve benchmarking for stochastic data. To improve the DDEA method, the Stochastic Data Envelopment Analysis (SDEA) method is proposed which can be used for benchmarking involving stochastic data. The SDEA method itself has weaknesses in dealing with noise and uncertainty problems that will appear in the assessment process. The purpose of the research conducted by the researcher was to use the Hesitant Fuzzy method in optimizing the SDEA method so that the Hesitant Fuzzy model - Stochastic Data Envelopment Analysis (HF-SDEA) could be carried out benchmarking process in a situation where the assessment contained many elements of uncertainty. The results of this study are benchmarking methods that can do benchmarking for stochastic data on conditions that contain elements of uncertainty.
Computational Thinking Evaluation Tool Development for Early Childhood Software Education Lee, Kyunghee; Cho, Jungwon
JOIV : International Journal on Informatics Visualization Vol 5, No 3 (2021)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.3.672

Abstract

The early childhood software education is being actively conducted, but research on evaluation of computational thinking is in its infancy. The purpose of early childhood software education is to cultivate the computational thinking through activities centered on solving problems in everyday life. Evaluation in software education is very important in that it not only measures computational thinking simply but also improves computational thinking through evaluation. As such, guidelines for evaluating computational thinking that can be used in early childhood software education are needed, but they are very lacking. Therefore, in this study, the researcher developed an evaluation tool that can meet the ultimate purpose of software education, cultivating computational thinking. The developed evaluation tools are a software education effectiveness test tool and a computational thinking test tool. They were developed to the level of development and interaction of the early childhood. The developed evaluation tool has been validated by software experts, early childhood education experts, and early childhood teachers. As a result of the second step validity verification, all content validity was confirmed. Through this, it was confirmed that the evaluation tool developed in this study can be used as a tool for evaluating computational thinking. This study provides implications for evaluation of computational thinking for early childhood software education. In addition, it is meaningful that it has been suggested to be effectively used for proper evaluation in early childhood software education.
A Framework of Mutual Information Kullback-Leibler Divergence based for Clustering Categorical Data Yanto, Iwan Tri Riyadi; Setiyowati, Ririn; Azizah, Nur; Rasyidah, -
JOIV : International Journal on Informatics Visualization Vol 5, No 1 (2021)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.1.462

Abstract

Clustering is a process of grouping a set of objects into multiple clusters, so that the collection of similar objects will be grouped into the same cluster and dissimilar objects will be grouped into other clusters. Fuzzy k-means Algorithm is one of clustering algorithm by partitioning data into k clusters employing Euclidean distance as a distance function. This research discusses clustering categorical data using Fuzzy k-Means Kullback-Leibler Divergence. In the determination of the distance between data and center of cluster uses mutual information known as Kullback-Leibler Divergence distance between the joint distribution and the product distribution from two marginal distributions. Extensive theoretical analysis was performed to show the effectiveness of the proposed method. Moreover, the proposed method's comparison results with Fuzzy Centroid and Fuzzy k-Partition approaches in terms of response time and clustering accuracy were also performed employing several datasets from UCI Machine Learning. The experiment results show that the proposed Algorithm provides good results both from clustering quality and accuracy for clustering categorical data as compared to Fuzzy Centroid and Fuzzy k-Partition.
Assessing Financial Sustainability of Community Network Project through e3value Modelling and Simulation WaiShiang, Cheah; XingZi, Chong; bin Khairuddin, Muhammad Asyraf; binti Jali, Nurfauza; Hidayat, Rahmat
JOIV : International Journal on Informatics Visualization Vol 4, No 4 (2020)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.4.4.508

Abstract

Many efforts had been done to make ICTs available in rural area to increase their incomes and productivities. For example, a community ecommerce is introduced to promote community handicraft and income generation; other projects like deploying VSAT to improve the internet connectivity at rural area. Although the project is developed, it is facing a challenge like how to sustain the ICT4D projects? This paper presents the study of financial sustainability of community network project through e3value modelling and simulation.  Financial sustainability is one of the important factor for community projects. As a NGO or researcher that is trying to help the community, is it possible for us to access the feasibility of any projects for communities so that a realistic suggestion or proposal can be planned? To sustain the community commerce, it cannot be denied that a well planning and measurement on financial sustainability of the projects is required. Hence, we believe that e3value can be used as a tool to measure the financial sustainability of community network projects. With the use of 3value model, it can serve as a reference for various parties in resolving the financial sustainability issue.
A Knowledge Management System Conceptual Model for the Sorong COVID-19 Task Force Matheus Supriyanto Rumetna; Tirsa Ninia Lina; Joseph Eliza Lopulalan
JOIV : International Journal on Informatics Visualization Vol 4, No 4 (2020)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.4.4.418

Abstract

Sorong is a city located in the West Papua Province, Indonesia. It has a strategical location because it serves as the gateway of the West Papua Province. In 2019, its population has reached 247.084. Such condition has been deemed risky during the Covid-19 pandemic. The performance of the Sorong City Task Force for Covid-19 handling acceleration (Satgas Covid-19) had been considered ineffective by the citizens because it had not provided a system which would provide valid information regarding the Covid-19 progress in the city, resulting in worry and panic buying among the citizens. To overcome the problem, the knowledge possessed by the Sorong City Covid-19 Task Force should be developed into a Knowledge Management System (KMS). The implementation of the system had been expected to be able to optimize the documentation, dissemination and creation of knowledge as well as its evaluation. The KMS then was built to improve the performance effectiveness of the Sorong City Covid-19 Task Force in managing and disseminating knowledge regarding Covid-19 to the citizens. The methods utilized in this research were the qualitative method and the 10-step knowledge management roadmap. The research produced a conceptual model of KMS which could be utilized by the Sorong City Covid-19 Task Force.
The Development of Cellular Automata-based Entrepreneurial Growth Simulator Cecilia E. Nugraheni; Vania Natali
JOIV : International Journal on Informatics Visualization Vol 5, No 1 (2021)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.1.430

Abstract

Entrepreneurship plays an essential role in the economic growth of a country. These roles include creating jobs, reducing unemployment, increasing people's income, combining production factors (nature, labor, capital, and expertise), and increasing national productivity. For the economy to thrive and healthy, it requires at least 4% of the population who work as entrepreneurs. Due to this vital role, entrepreneurial growth must be maintained. One of the efforts to do this is by monitoring growth directly and continuously. Besides that, another way is to do a simulation. By knowing the condition of entrepreneurship at one time and all the factors that affect entrepreneurial growth, simulations can be carried out to determine or predict future conditions. Based on this simulation, essential steps can be taken, or policies can be made to maintain profitable entrepreneurial growth. This paper presents a mathematical model that can simulate and visualize entrepreneurship's growth in six provinces of Sumatra Island, Indonesia. This mathematical model uses cellular automata as its basis and is called Entrepreneurial Cellular Automata (ECA). One of the advantages of Cellular Automata is that it is easy to visualize. The entrepreneurial model used as a reference is a model from the Global Entrepreneurship Monitoring (GEM). This mathematical model has been implemented in a simulator program. This paper describes the simulator development and the use of simulator to simulate and visualize the entrepreneurial growth of the six provinces.
Combining Hybrid Approach Redefinition-Multiclass Imbalance (HAR-MI) and Hybrid Sampling in Handling Multi-Class Imbalance and Overlapping Hartono Hartono; Erianto Ongko
JOIV : International Journal on Informatics Visualization Vol 5, No 1 (2021)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.1.420

Abstract

The class imbalance problem in the multi-class dataset is more challenging to manage than the problem in the two classes and this problem is more complicated if accompanied by overlapping. One method that has proven reliable in dealing with this problem is the Hybrid Approach Redefinition-Multiclass Imbalance (HAR-MI) method which is classified as a hybrid approach that combines sampling and classifier ensembles. However, in terms of diversity among classifiers, a hybrid approach that combines sampling and classifier ensembles will give better results. HAR-MI provides excellent results in handling multi-class imbalances. The HAR-MI method uses SMOTE to increase the number of samples in the minority class. However, this SMOTE also has a weakness where an extremely imbalanced dataset and a large number of attributes will be over-fitting. To overcome the problem of over-fitting, the Hybrid Sampling method was proposed. HAR-MI combination with Hybrid Sampling is done to increase the number of samples in the minority class and at the same time reduce the number of noise samples in the majority class. The preprocessing stages at HAR-MI will use the Minimizing Overlapping Selection under Hybrid Sampling (MOSHS) method, and the processing stages will use Different Contribution Sampling. The results obtained will be compared with the results using Neighbourhood-based under-sampling. Overlapping and Classifier Performance will be measured using Augmented R-Value, the Matthews Correlation Coefficient (MCC), Precision, Recall, and F-Value. The results showed that HAR-MI with Hybrid Sampling gave better results in terms of Augmented R-Value, Precision, Recall, and F-Value
Comparative Analysis and Design of Cybersecurity Maturity Assessment Methodology Using NIST CSF, COBIT, ISO/IEC 27002 and PCI DSS Sulistyowati, Diah; Handayani, Fitri; Suryanto, Yohan
JOIV : International Journal on Informatics Visualization Vol 4, No 4 (2020)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.4.4.482

Abstract

Data or Information security in today's digital era is crucial in every organization that needs to pay attention. Management of organizational information is one of the components in realizing Good Corporate Governance. The measure of an adequate level of protection is an indicator of the cybersecurity awareness aspects of an organization's business processes in the short, medium, and long term, especially in the field that deals with information and communication technology (ICT). To make this happen, it requires a security standard that is appropriate and follows its needs to help organizations know the maturity level of cybersecurity in protecting its information security. The ABC organization is one of the Government agencies that manage the critical infrastructure and Indonesian digital economies. The organization has currently implemented several international security standards through its planning, implementation, evaluation document, and ICT activities.  However, based on the national information security readiness assessment, information security management readiness results are still not optimal. In this study, an analysis of the NIST, ISO 27002, COBIT, and PCI DSS security standards has been carried out, which are ABC organizational security standards in managing ICT by assigned tasks and functions. Furthermore, the analysis result is used as materials for drafting a cybersecurity maturity framework through the four standard approaches that have become the basis for ICT management. The proposed concept of twenty-one integrated cybersecurity categories is expected to be a capital in measure ICT management performance in ABC organizations.

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