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JISA (Jurnal Informatika dan Sains)
Published by Universitas Trilogi
ISSN : 27763234     EISSN : 26148404     DOI : https://doi.org/10.31326/jisa
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
JISA (Jurnal Informatika dan Sains) is an electronic publication media which publishes research articles in the field of Informatics and Sciences, which encompasses software engineering, Multimedia, Networking, and soft computing. Journal published by Program Studi Teknik Informatika Universitas Trilogi aims to give knowledge that can be used as a reference for researchers and can be useful for society. Accredited “SINTA 4” by The Ministry of Research-Technology and Higher Education Republic of Indonesia, Free of Charge (Submission,Publishing). JISA (Jurnal Informatika dan Sains) is scheduled for publication in June and December (2 issue a year) This Journal accepts research articles in these following fields: Software Engineering: Web Development, Mobile Apps Development, Database Management System Multimedia: Augmented Reality, Virtual Reality, Game Development Networking: Cloud Computing, Internet of Things, Wireless Sensor Network, Mobile Computing Soft Computing: Data Mining, Data Warehouse, Data Science, Artificial Intelligence, Decision Support System
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 187 Documents
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Augmented Reality Virtual Guide Museum Multatuli Rangkasbitung Based on Android Karyaningsih, Dentik; Fernando, Donny; Sofian, Agus Rulli; Luthfi, Fuad
JISA(Jurnal Informatika dan Sains) Vol 5, No 2 (2022): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v5i2.1434

Abstract

Multatuli Museum has been established for several years and is visited by many tourists. However, in practice the Multatuli Museum often lacks museum guides when there is an increase in visits, so that visitors who are not accompanied by a tour guide do not get complete information. In addition, the lack of interest of the younger generation in visiting museum attractions so that by applying Augmented Reality technology to the Multatuli Museum is expected to attract visitors, especially the younger generation. Augmented Reality (AR) is a technology that is able to insert 3D and 2D objects into a real environment in real-time to display a Virtual Guide at the Multatuli Museum. The author creates an animation in the form of a virtual guide for the Multatuli Museum using Blender software to create 3D animations and using Unity software to build the application as well as the Vuforia extension for Unity with C# programming language. The author uses the prototyping method as the application development method and uses the Unified Modeling Language (UML) as the system design. This research produces an Augmented Reality Application that can be used on Android smartphones. This application is capable of displaying 3D animations that provide information about the showrooms in the Multatuli Museum. Based on black box testing all features in the application are 100% running well. with this application visitors feel helped when the tour guide is limited and feel happy because there is still a Virtual tour guide who helps in the museum.
Designing An Investment Learning App for Students Using Design Thinking Approach Yulius, Rina; Nasrullah, Muchamad Fajri Amirul; Handayani, Siskha; Thohari, Ahmad Hamim
JISA(Jurnal Informatika dan Sains) Vol 6, No 1 (2023): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v6i1.1473

Abstract

Young people's awareness of stock investment is still low. Lack of knowledge about the investment stock market is an example of financial literacy. Moreover, the development of financial applications with game elements has created a new trend in the investment field. Therefore, we proposed a playful application as a learning medium to improve young people's stock market investment knowledge. This research aims to develop a mobile his application that can be used to improve the financial literacy, especially investment literacy, of Politeknik Negeri Batam students. The study uses a design thinking approach and leverages gamification to increase user retention. A total of 50 participants contributed to this study. Tracking, observing, and identifying problems that exist in the spread of financial literacy practices among Politeknik Negeri Batam students allows us to find new ideas as solutions to existing problems. The trial conducted on the product revealed that while users found the application overall useful and aligned with their requirements, there are still areas that need improvement.
Business Intelligence Using N-Beats And Rnn Methods End Influence On Decision Making In The Flexible Packaging Manufacturing Wahyudi, Eko; Sen, Tjong Wan
JISA(Jurnal Informatika dan Sains) Vol 6, No 1 (2023): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v6i1.1626

Abstract

Today's complex decision-making solutions for intelligent manufacturing depend on the ability to be able to model a manufacturing system realistically, valid and consistent data integrated easily and in a timely manner, able to solve problems efficiently with computational effort to obtain optimal production and product quality optimizations continuously. When an organization uses a data-driven approach, it means that it makes strategic decisions based on data collection, analysis, and interpretations or insights. The purpose of this research is to analyze the business intelligence approach in optimizing print machines by speed, material and time. in this research, using the N-Beats is a deep neural architecture based on backward and forward residual links and a very deep stack of fully-connected layers and Recurrent Neural Networks (RNN). The novelty of this research is increasing machine speed using new insights by combining two deep learning methods. Observing and retrieving raw data from the printing machine process with sensors data for use and ensuring the justification of the addition of new methods. The result is expected to be able to provide new insights that can increase engine speed, the data based decision making provides businesses with the capabilities to generate real time insights and predictions to optimize their performance and provide confidence in decision making that are fast, precise and better.
Global Horizontal Irradiance Prediction using the Algorithm of Moving Average and Exponential Smoothing Syahab, Alfin Syarifuddin; Hermawan, Arief; Avianto, Donny
JISA(Jurnal Informatika dan Sains) Vol 6, No 1 (2023): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v6i1.1649

Abstract

To reduce the discrepancy between the results of the expected data and the actual data, prediction is a procedure that is calculated systematically based on owned historical and present information. For the creation of solar energy projects and for decision-making in other connected domains, solar radiation intensity prediction is essential. This study aims to create a predictive model on monthly global horizontal irradiance data. The method used is the Simple Moving Average algorithm, Exponentially Weighted Moving Average and Single Exponential Smoothing. The stages carried out in this study include data collection, data preprocessing, testing of predictive models, interpretation of data visualization, and performance evaluation. The results of calculating the error value and correlation produce an evaluation of the performance of the prediction model. The SES method, which obtained an MAE value of 7.13, a MAPE of 0.02%, an MSE of 88.07, an RMSE of 9.38, and an R2 of 0.94, was determined to be the best prediction model by the calculation of the prediction model performance evaluation. A MAE value of 9.45, a MAPE of 0.02%, an MSE of 150.16, an RMSE of 12.25, and an R2 of 0.91 were obtained by the EWMA method, which is also the method that produced the second-best result. A MAE value of 14.38, a MAPE of 0.04%, an MSE of 367.59, an RMSE of 19.17, and an R2 of 0.77 were obtained by the SMA method, which is the third-best result.
A Study of Prediction Model for Capture Fisheries Production in Indonesian Sea Waters Using Machine Learning Pradana, Ganjar Adi
JISA(Jurnal Informatika dan Sains) Vol 6, No 1 (2023): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v6i1.1553

Abstract

The potential for capture fisheries in Indonesia is a priceless wealth. This wealth has not been explored optimally. Fisheries resources are included in the category of renewable resources whose sustainability needs to be considered. This is important in maintaining food security which will increase over time, due to population growth. Capture Fisheries Production Prediction Model is needed to find out what determining variables affect capture fisheries production. There are many methods for predicting, the method that is widely used today is using machine learning since it ability to handle complex jobs with large input data. This research is a literature study, which aims to: (1) identify and analyze machine learning methods that are suitable for predicting capture fisheries production, and (2) identify variables that can affect capture fisheries production. The results of the study show that the Neural Network method is most widely used as a predictive model. In addition, the Random Forest and Linear Logistics methods provide better accuracy results. The results of the study also succeeded in finding 12 determining variables for the capture fisheries production prediction model.
The Knowledge Management Model to Support Academic Activities at SD Al-Imam Islamic School Cileungsi Using the Seci Approach Bajsair, Faik; Pranoto, Gatot Tri
JISA(Jurnal Informatika dan Sains) Vol 6, No 1 (2023): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v6i1.1637

Abstract

The absence of a processing model, knowledge storage due Knowledge in the form of notes, files, pictures and so on disappears because 17 teachers dump themselves and bring knowledge, files, notes that ever made. Allegedly with the creation of a processing model, knowledge-based storage a website with a SECI approach can provide a managed solution with good knowledge at SD Al-Imam Islamic school." In this study, the authors develop model knowledge management system that is in accordance with the conditions that exist in SD Al-Imam Islamic School, knowledge formation using the SECI model. From the results of testing the experimental system knowledge management system using the Technology Acceptance Model (TAM) method the average result is above 58%, which means that the respondent is in doubt about the application of the system tried the knowledge management system at SD Al-Imam Islamic School.
Decision Support System for Selecting Rescuer Candidates for Basarnas Special Group Using SMART And BORDA Koto, Muhammad Hendrik; Irawan, Muhammad Dedi
JISA(Jurnal Informatika dan Sains) Vol 6, No 1 (2023): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v6i1.1651

Abstract

The National Search and Rescue Agency (also known as BASARNAS) is a government agency responsible for offering search and rescue services in the event of an accident or disaster. At BASARNAS there is a special team, the BASARNAS Special Group (BSG). BSG performs rescues during national and international disasters or accidents. BSG itself consists of selected people, namely BSG candidates from all search and rescue office rescuers in Indonesia. BSG candidates themselves are still calculated manually so that it can affect the time efficiency of SAR personnel in making selections, this research was conducted at the Medan Class A Search and Rescue Office. To ensure that BSG candidates are accurate and processed quickly, a decision support system is needed. This time the researchers utilized the Simple Multi Attribute Rating Technique (SMART) and BORDA methods to determine BSG candidates. With the criteria used, namely fitness (K1), physical health (K2), mental health (K3) and creativity (K4). Then the alternatives used are 25 alternatives which include 20 skilled rescuers and 5 beginner rescuers. and the results can be saved in the form of a PDF file. The results of calculations using the SMART and BORDA methods found that among skilled rescuers, Rescuer-T15 is a suitable candidate to become a BSG candidate by obtaining a total score of 6049.25 and among novice rescuers, Rescuer-P5 obtained the highest score of 756.00.
The Impact of Digital Promotion, Product Quality, Product Price, and Business Location on Purchase in MSMEs in The Coastal Region Yulistiawan, Bambang Saras; wirawan, Rio; Puspita Dewi, Catur Nugrahaeni; Hananto, Bayu
JISA(Jurnal Informatika dan Sains) Vol 6, No 1 (2023): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v6i1.1567

Abstract

This study aims to examine the influence of digital promotion, product quality, product prices, and business location on purchasing decisions for products produced by micro, small, and medium enterprises (MSMEs) in Pabean Udik village, Indramayu district. Pabean Udik village is located in a coastal area with relatively low levels of education and technological literacy. The study population includes MSME actors, community members, and stakeholders in the village. The measurement scale used is a Likert scale. If the model includes intervening or moderating variables, it can be analyzed using path analysis. Path analysis allows for the examination of direct and indirect relationships between variables. The analysis will help in making decisions based on hypothesis testing. The findings show that product quality has a positive effect on purchase decisions, product price does not significantly influence purchase decisions, digital promotion has a positive effect on purchase decisions, and business location does not significantly influence purchase decisions. Additionally, product quality, through business location, has a positive effect on purchase decisions, and product price, through digital promotion, also has a positive effect on purchase decisions. Digital promotion has the strongest influence on customers' purchasing decisions. To enhance the competitiveness of MSMEs in coastal areas, it is recommended to utilize digital promotions through platforms such as WhatsApp and Facebook. Additionally, programs for improving the digital literacy and skills of MSMEs' human resources are recommended to better adapt to social media and digital platforms. The aim is to increase their positive competitiveness in the market.
Determination of Candidates for Madrasah Aliyah Student Scholarships Using The Simple Additive Weighting Method Herdiansah, Arief
JISA(Jurnal Informatika dan Sains) Vol 6, No 1 (2023): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v6i1.1638

Abstract

Scholarships are a facility expected by some students who need financial assistance in their education. Case study research at MAN 3 Tangerang as a state Islamic senior high school, MAN 3 Tangerang has facilities to propose students who have achievements and need educational funding assistance to the Indonesian Ministry of Religion (Kemenag). Schools often find it difficult to determine which prospective students are most eligible for scholarships. This research is to help the school design and develop a decision support system (DSS) application with the Simple Additive Weighting (SAW) method. DSS application built using UML design and PHP (Hypertext Processor File) programming with MySQL database. The resulting DSS application has been able to provide a sequence of data for prospective scholarship recipients according to the criteria and weightings that have been set. Based on the data generated by the system, the principal can make a decision on who is entitled to a scholarship from the Ministry of Religion (Kemenag).
The Impact of Technology on Students’ Psychological and Educational Performance Taha, Taha Basheer; Abdulrahman, Mohammad Salim
JISA(Jurnal Informatika dan Sains) Vol 6, No 1 (2023): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v6i1.1661

Abstract

The quality, availability, consistency, and accessibility of technology play vital roles in shaping learning performance and effectiveness. However, it is important to recognize that technology alone does not guarantee desired learning outcomes. Instead, the interaction between humans and technology, along with the design dimensions of educational tools, significantly influence students' learning outcomes and their psychological engagement with the learning process. Moreover, improper utilization of technology can pose obstacles to effective learning. This paper aims to provide a thorough examination of the effects of technology on the learning process, aiming to identify instances where technology serves as a facilitator or hindrance to learners. Furthermore, a diverse range of suggestions will be presented to optimize and enhance the role of technology in promoting effective learning experiences. The research highlighted the advantages and disadvantages of different technology aspects on students, and highlighted how keeping the learning outcome as a principle in course design will lead to the proper evaluation of learning outcome. By delving into these crucial aspects, this research endeavors to provide valuable insights and actionable recommendations for educators, policymakers, and stakeholders seeking to harness the full potential of technology in education.

Page 10 of 19 | Total Record : 187

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