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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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Development of a React Native-Based Mobile E-Commerce Application to Optimize Online Sales for MSMEs: A Case Study of New Delisio Bakery Cake Suryanto, William Kessler; Sancoko, Sulistyo Dwi
JISA(Jurnal Informatika dan Sains) Vol 7, No 2 (2024): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v7i2.2110

Abstract

The development of a mobile-based e-commerce application aims to assist MSMEs, particularly New Delisio Bakery Cake, in optimizing their online sales and expanding market reach. Currently, New Delisio operates using conventional methods that limit its customer base and overall sales potential. To address this challenge, the application was developed following the waterfall methodology, encompassing requirements analysis, design, implementation, testing, and deployment. The front-end was built using React Native, while the back-end utilized Express.js and MongoDB. A user testing phase was conducted with a sample group, providing valuable feedback on usability and functionality. The application offers a user-friendly platform for customers to browse and purchase products, while enabling the business to efficiently manage operations. The test results showed a high overall success rate of 92.52%, with 91.11% success for user interactions and 100% for admin tasks. This demonstrates the application's effectiveness in enhancing usability and functionality. By leveraging modern mobile technology, the solution enhances the store's visibility, engagement, and scalability, potentially increasing revenue. This research demonstrates the potential for MSMEs to transition into the digital market through a structured development process and iterative improvements.
Development of Paramadina Roomhub Application As Room Booking System Using Waterfall Method Maulana, Reza Arif; Fatih, Muhamad Adillah; Suto, Lintang Arbi; Darwis, Muhammad
JISA(Jurnal Informatika dan Sains) Vol 7, No 2 (2024): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v7i2.2119

Abstract

The manual room booking process at Paramadina University faces several challenges, including inefficiencies, human errors, and communication breakdowns between applicants and facility managers. These issues often result in room booking conflicts and delays, hindering effective facility usage. The need for a more streamlined, user-friendly solution led to the development of the Roomhub Paramadina application, a web-based system designed to facilitate room bookings within the university. The objective of this research is to design and implement a digital room booking system that simplifies the current manual process. The application was developed using the Software Development Life Cycle (SDLC) with the Waterfall framework. This approach ensures structured and systematic development, enabling the team to follow sequential stages from requirements gathering to testing. The Roomhub application allows users to view available rooms, submit booking requests, and receive confirmations directly via an online platform. The system integrates with existing university infrastructure and ensures real-time room availability, reducing errors such as double bookings. Black-box testing was employed to verify the application’s functionality, and the results confirmed that the system meets user needs while significantly improving booking efficiency. By automating room bookings and enhancing communication between the parties involved, this research offers a practical solution that improves operational efficiency, reduces paperwork, and minimizes scheduling conflicts, thereby benefiting the entire academic community at Paramadina University.
Long Short Term Memory For Comparison Between Bank Syariah Indonesia And PT Bank Artos Indonesia Shares Rizqiana, Zulfanita Dien; Akhsan, Izzat Muhammad; Priyanto, Intan Indrasara; Maharani, Aninda Sabila
JISA(Jurnal Informatika dan Sains) Vol 7, No 2 (2024): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v7i2.2131

Abstract

The growth of the capital market in Indonesia has increased from year to year. Based on data from the Indonesia Central Securities Corporation (KSEI), there has been an increase in investor growth in the capital market by 2.34%, mutual funds by 2.44%, and shares by 1.34% until August 2024. The demographic of individual investors in the capital market is dominated by Generation Z who are younger than from 30 years as much as 55.07% in August 2024 (KSEI, 2024). Shares are a form of investment that has the potential for large profits but with small risks. One sector that Gen Z is interested in investing in is the financial sector. The aim of this research is to compare the share prices of Bank Syariah Indonesia and Bank PT Ban Artos Indonesia Tbk using a Neural Network with the Long Short Term Memory (LTSM) algorithm. The data used in this research is secondary data on BSI and PT Bank Artos Indonesia Tbk share prices taken from the investing.com website. The data period used is from 01 September 2021 – 01 September  2024. Based on the results of stock price forecasting using a Neural Network with the LTSM algorithm, RMSE value for both models is  for BSI 75.0757 and 91.795 for PT. Bank Artos Indonesia Tbk. A comparison of the predicted share prices of PT Bank Arto Indonesia Tbk and BSI shows that BSI's share price performance is superior to that of PT Bank Arto Indonesia Tbk.
Long Short Term Memory For Comparison Between Bank Syariah Indonesia And PT Bank Artos Indonesia Shares Rizqiana, Zulfanita Dien; Akhsan, Izzat Muhammad; Priyanto, Intan Indrasara; Maharani, Aninda Sabila
JISA(Jurnal Informatika dan Sains) Vol 7, No 2 (2024): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v7i2.2115

Abstract

The growth of the capital market in Indonesia has increased from year to year. Based on data from the Indonesia Central Securities Corporation (KSEI), there has been an increase in investor growth in the capital market by 2.34%, mutual funds by 2.44%, and shares by 1.34% until August 2024. The demographic of individual investors in the capital market is dominated by Generation Z who are younger than from 30 years as much as 55.07% in August 2024 (KSEI, 2024). Shares are a form of investment that has the potential for large profits but with small risks. One sector that Gen Z is interested in investing in is the financial sector. The aim of this research is to compare the share prices of Bank Syariah Indonesia and Bank PT Ban Artos Indonesia Tbk using a Neural Network with the Long Short Term Memory (LTSM) algorithm. The data used in this research is secondary data on BSI and PT Bank Artos Indonesia Tbk share prices taken from the investing.com website. The data period used is from 01 September 2021 – 01 September  2024. Based on the results of stock price forecasting using a Neural Network with the LTSM algorithm, RMSE value for both models is  for BSI 75.0757 and 91.795 for PT. Bank Artos Indonesia Tbk. A comparison of the predicted share prices of PT Bank Arto Indonesia Tbk and BSI shows that BSI's share price performance is superior to that of PT Bank Arto Indonesia Tbk.
Development of a React Native-Based Mobile E-Commerce Application to Optimize Online Sales for MSMEs: A Case Study of New Delisio Bakery Cake Suryanto, William Kessler; Sancoko, Sulistyo Dwi
JISA(Jurnal Informatika dan Sains) Vol 7, No 2 (2024): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v7i2.2122

Abstract

The development of a mobile-based e-commerce application aims to assist MSMEs, particularly New Delisio Bakery Cake, in optimizing their online sales and expanding market reach. Currently, New Delisio operates using conventional methods that limit its customer base and overall sales potential. To address this challenge, the application was developed following the waterfall methodology, encompassing requirements analysis, design, implementation, testing, and deployment. The front-end was built using React Native, while the back-end utilized Express.js and MongoDB. A user testing phase was conducted with a sample group, providing valuable feedback on usability and functionality. The application offers a user-friendly platform for customers to browse and purchase products, while enabling the business to efficiently manage operations. The test results showed a high overall success rate of 92.52%, with 91.11% success for user interactions and 100% for admin tasks. This demonstrates the application's effectiveness in enhancing usability and functionality. By leveraging modern mobile technology, the solution enhances the store's visibility, engagement, and scalability, potentially increasing revenue. This research demonstrates the potential for MSMEs to transition into the digital market through a structured development process and iterative improvements.
Bio-Inspired Algorithms in Healthcare Tato, Firdaws Rizgar; Ibrahim, Ibrahim Mahmood
JISA(Jurnal Informatika dan Sains) Vol 7, No 2 (2024): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v7i2.2145

Abstract

Exploring hidden patterns in medical data sets is made possible by the huge potential of medical data mining. A clinical diagnosis can be made with the help of these patterns. Research on bio-inspired algorithms is a recent development. Its primary benefit is its ability to weave together social behavior, emergence, and connectionism subfields. In a nutshell, it involves modeling live phenomena using computers while studying life to make better computer applications. This chapter describes the application of five bio-inspired algorithms, including metaheuristics, to classify seven distinct real health-related information sets. While the other two of these methods rely on random population creation to create classification rules, the other two rely on the computation of similarity between the data used for training and testing. The outcomes demonstrated that bio-inspired supervised medical data classification methods were incredibly effective.
Smart-Working and Hot Desking Application Development using Agile and Extreme Programming Method at Xtra Cowork Nurdin, Daeng Ahmad; Firmansyah, Dodik; Hafifi, Akrom; Darwis, Muhammad
JISA(Jurnal Informatika dan Sains) Vol 7, No 2 (2024): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v7i2.2114

Abstract

The current condition of working desks often faces challenges such as poor management and inefficiency in space utilization, which complicates the adoption of Smart-Working culture at Xtra Cowork. To address these issues, the writer aims to facilitate the transition for offices adopting Smart-Working culture by designing a hot desking supporting mobile app. Through observation, the research identifies the need for a reliable system to support hot desking practices. To complete this research, the writer uses agile and extreme programming methods. For app designing, the writer uses UML. The main tools used for developing the app are Flutter with Dart language. The developed mobile app successfully fulfills these requirements. The results of the application testing using the black box method has passed 100% of the test cases. It shows that all functions have worked as designed and could be used by the users as intended. Future researchers can build upon this work to address other Smart-Working culture needs.
Donation Raising Application Using Rapid Application Development (RAD) Method Based on Mobile Application Nugraha, Aditya Bagas; Widodo, Tri
JISA(Jurnal Informatika dan Sains) Vol 7, No 2 (2024): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v7i2.2123

Abstract

Indonesia is one of the countries that has a high social spirit in doing gotong royong. Its people love to help and build social welfare. There are several activities that prioritize the principle of gotong royong in society, one of which is donation-raising activities. Many institutions still collect donations in a conventional way. This can be an obstacle for donors because not all institutions or communities that collect funds are in the same area and the reach is relatively small. Lack of public trust is also a reason because of the rampant fraud on behalf of institutions and foundations, so that it can hamper the raising of donations. To overcome these problems, a new system is needed that can be applied to the community. A fundraising platform is needed to make it easier for people to donate easily and efficiently. The Rapid Application Development (RAD) method is used in its development. System development uses the Kotlin programming language and uses a realtime Firebase database to manage the data. With this system, the mobile application can facilitate and provide access to the community in making donations online without collecting manually, raising donations can also provide a wider range of donations.
Prediction of Carbon Emissions in Indonesia Using Machine Learning: A Focus on Environmental Impact Putra, Rizaldi; Sanjaya, Memet; Utama, Deni; Berliana, Berliana
JISA(Jurnal Informatika dan Sains) Vol 7, No 2 (2024): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v7i2.2106

Abstract

Carbon emissions represent a critical driver of global climate change, exerting profound impacts on environmental sustainability and public health. This research examines Indonesia's carbon emission trends using a comprehensive dataset spanning global emissions from 1960 to 2018, with specific focus on Indonesia, obtained from Kaggle. Employing Linear Regression (LR) as the primary machine learning technique, the study effectively models and forecasts future carbon emission levels for Indonesia. The findings indicate a projected increase in emissions to 2.38 tons per capita annually by 2030, underscoring the urgent need for robust environmental policies.
Decision Tree for Determining Hospital Treatment for Covid-19 Patients Based on Hematology Parameters Using the C5.0 Algorithm Riyono, Joko; Pujiastuti, Christina Eni; Supriyadi, Supriyadi; Prayitno, Dody; Putri, Aina Latifa Riyana
JISA(Jurnal Informatika dan Sains) Vol 7, No 2 (2024): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v7i2.2103

Abstract

The rapid spread of the COVID-19 disease, which occurred globally from late 2019 to the early 2020s, significantly impacted communities worldwide, requires early detection of COVID-19 which is very important for patients and also the people around them to be able to fight the COVID-19 pandemic. Therefore, a classification analysis will be carried out to make decisions regarding determining COVID-19 patients who do not require hospitalization or who require Regular Ward, Semi-Intensive Care Unit, or Intensive Care Unit (ICU) in hospitals based on hematology parameters from the Machine Learning Repository. Kaggle Dataset uses the C5.0 algorithm assisted by Rstudio software. It is also known that because the data contains missing data, it is also necessary to handle missing data using the Mean Method assisted by SPSS software. Performance evaluated using the Confusion Matrix method produces an accuracy value of 78% which is considered quite good, where testing with the C5.0 Algorithm uses a training and testing data ratio of 40:60. This research simplifies and speeds up medical decision-making, improving patient management. With COVID-19 declining, the method can be applied to enhance healthcare systems' accuracy and efficiency in handling other diseases or emergencies, ensuring better preparedness for future challenges.

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