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INDONESIA
Journal of Elektronik Sistem InformasI
Published by Universitas Kebangsaan Republik Indonesia
ISSN : -     EISSN : 2988585X     DOI : https://doi.org/10.31848/jesii.v2i1
Core Subject : Science, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Engineering
JESII: Journal of Elektronik Sistem InformasI Focus and scope IS include : 1. Bussiness Information System E-Bussiness Sosial Engineering E-Health Risk Management IS Project Management Technopreneur & Start Up Accounting/Fintech Technology ICT for Development E-government Information Systems Human Resources Analytics Social Media Customer Relationship Management Supply Chain Management ERP Configuration Business Process Management 2. Engineering Information System Information Technology Strategic Planning Expert System Decision Support System Business Intelligence Data Mining Knowledge Management New Technology Acceptance and Diffusion Audit SI/TI Geographic Information System (GIS) Human-Computer Interaction Web System and Technology Enterprise Architecture Data warehousing Corporate Application Integration IS Strategy, Management & Acquisition
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 46 Documents
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UI/UX Design Of Marketplace Service Mobile and Laptop Applications Using Design Thinking Method Aqsa Arumdapta, Gemintang; Reisa Permatasari; Anindo Saka Fitri
JESII: Journal of Elektronik Sistem InformasI Vol. 2 No. 1 (2024): JournaI of Elektronik Sistem InformasI - JESII (JUNE)
Publisher : Departement Information Systems Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/jesii.v2i1.3419

Abstract

Inefficient repair services for damaged smartphones and laptops pose challenges for both users and service providers. This research answers this problem by designing a mobile application marketplace interface for smartphone and laptop repairs by prioritizing usability and user experience (UX). Design thinking methodology guides the development process, which involves user empathy, problem definition, ideation, prototyping, and testing. Iterative evaluation using usability testing and heuristic evaluation refines the design. The evaluation results of the final iteration showed a Learnability score of 96.6%, Efficiency 98.63%, Memorability 95%, Error 0.232, and Satisfaction 83.23 from technicians, as well as Learnability 93.3%, Efficiency 85.23%, Memorability 85%, Error 0.202, and Satisfaction 83.23 from customers, with success and very good qualifications. Heuristic evaluation by UI/UX experts further validates the usability of the design. This research concludes that the design thought approach has succeeded in creating a user-friendly marketplace interface for smartphone and laptop repair services. The app's high usability and positive reception from technicians and customers highlight its potential to simplify the repair process and increase overall customer satisfaction.
Underwriting Technology Trends: A Systematic Literature Review Budy Santoso, Cahyono; Ghaniy, Rajib
JESII: Journal of Elektronik Sistem InformasI Vol. 2 No. 1 (2024): JournaI of Elektronik Sistem InformasI - JESII (JUNE)
Publisher : Departement Information Systems Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/jesii.v2i1.3420

Abstract

This study systematically reviews trends in underwriting technology to enhance the precision and personalization of insurance companies' risk assessment and decision-making processes. Using the Kitchenham method, we conducted a systematic review of scientific publications indexed by Scopus from 2011 to 2021. Our findings reveal the extent of research activity in this field, the leading contributing countries, the methodologies employed, the technologies utilized, and the specific areas investigated. The results indicate significant advancements in the application of machine learning, blockchain, and other technologies in underwriting, providing a comprehensive overview of current trends and future directions. This study offers valuable insights for researchers and practitioners aiming to improve underwriting technology, highlighting potential areas for further research and development. These insights are crucial for advancing the field and enhancing the efficiency and effectiveness of underwriting practices.
Design of a Website-Based Personnel Information System at PT Indiga Nusa Digitama (Inditama) Mustikasari Putri, Dewi; Apandi, Tri Herdiawan; Khoirunnisa, Nurfitria; Saputra, Yogi
JESII: Journal of Elektronik Sistem InformasI Vol 2 No 2 (2024): Journal of Elektronik Sistem InformasI - JESII (DECEMBER)
Publisher : Departement Information Systems Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/jesii.v2i2.3444

Abstract

This research focuses on the development of a personnel information system for PT. Indiga Nusa Digitama (Inditama), aimed at streamlining the management of attendance data, leave applications, and official travel documents (Surat Perjalanan Dinas or SPD). The primary objective is to enhance operational efficiency, minimize errors, and accelerate administrative processes, which were previously manual and prone to inefficiencies. A systematic approach using the waterfall methodology was employed, beginning with a thorough needs analysis conducted through observations, interviews, and literature reviews to identify existing challenges and requirements. The system design leveraged Unified Modeling Language (UML) for structural modeling and Figma for user interface design, ensuring a user-friendly and visually coherent experience. The resulting system effectively automated key processes, centralizing attendance, leave, and SPD data into a unified platform. This improved data organization, accessibility, and archival reliability, while fostering compliance with company policies and enhancing overall administrative transparency. The study also identifies potential future enhancements, including the integration of mobile-based features, payroll management, and recruitment modules, to broaden the scope of the system. These additions are expected to further optimize human resource management, deliver a more comprehensive solution for personnel administration, and contribute positively to the company’s strategic growth. Through this research, PT. Inditama gains a scalable and efficient system capable of supporting its evolving operational needs.
Prediction and Analysis of Heart Failure using Machine Learning Techniques Qasimi, Mehr Ali Qasimi
JESII: Journal of Elektronik Sistem InformasI Vol 2 No 2 (2024): Journal of Elektronik Sistem InformasI - JESII (DECEMBER)
Publisher : Departement Information Systems Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/jesii.v2i2.3541

Abstract

Heart failure, which includes a variety of heart-related disorders, has become the most prevalent cause of death worldwide. Access to reliable, acceptable, and accurate procedures is essential for prompt diagnosis and proper treatment of the problem. Heart failure occurs when there is insufficient heart muscle, making the heart's pumping motion insufficient. The body's smooth functioning depends on the heart's capacity to circulate blood that is high in nutrients and oxygen to all of the body's tissues and cells. Heart failure is one of the leading causes of death globally, responsible for 17.9 million deaths each year. However, the effectiveness of current risk prediction tactics is relatively moderate, perhaps due to their reliance on statistical analytic techniques that cannot extract prognostic information from big data sets with multi-dimensional interactions. We captured associations between patient features and death using a machine-learning approach. In a cohort of 1000 patients with heart failure, different machine learning algorithms were trained to associate a subset of patient data with a very high or shallow mortality risk. The objective of this work is to use the Heart Failure dataset to undertake a thorough survival analysis and prediction. Using the current dataset of heart failure patients, the model developed for this study shows several features linked to heart failure. It is based on supervised learning techniques such as Naive Bayes, decision trees, K-nearest neighbors, and random forests. 1000 instances and twelve characteristics make up the dataset. As result the K-nearest neighbor yields the highest accuracy score.
Implementation of Knowledge Management to Support Strategic Decision-Making in Property Development Companies Kusumastuti, Yuliwanda Anggi; Akbar, Tsabita Hanifah; Raharja, Muhammad Ridwan Ali; Sugiarti, Yuni
JESII: Journal of Elektronik Sistem InformasI Vol 2 No 2 (2024): Journal of Elektronik Sistem InformasI - JESII (DECEMBER)
Publisher : Departement Information Systems Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/jesii.v2i2.3566

Abstract

The property industry faces challenges in managing knowledge dispersed across various departments, hindering efficiency and decision-making. To address this issue, the aim of this research is to develop Knowledge Management (KM) using the Rapid Application Development (RAD) method, which enables rapid and responsive system development according to organizational needs. By utilizing the SECI model to manage tacit and explicit knowledge, this KM prototype is capable of addressing knowledge fragmentation, improving information management efficiency, and supporting data-driven decision-making. The research findings show that this system also facilitates knowledge transfer between departments and enhances collaboration, providing a foundation for KM implementation that can increase competitiveness in the property industry.
Measuring E-Readiness in Implementing LMS Moodle at SMAN 10 Bandung Using the Technology Readiness Index (TRI) Model Manaf, Khaerul; Hernadi, Mohamad Gani; Subaeki, Beki; Gunawan, Yanyan
JESII: Journal of Elektronik Sistem InformasI Vol 2 No 2 (2024): Journal of Elektronik Sistem InformasI - JESII (DECEMBER)
Publisher : Departement Information Systems Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/jesii.v2i2.3569

Abstract

Technological advancements encourage the education sector to adopt information technology, including Learning Management Systems (LMS). This study aims to measure the level of technological readiness (e-readiness) for implementing LMS Moodle at SMAN 10 Bandung using the Technology Readiness Index (TRI) model. The TRI method assesses four main dimensions: Optimism, Innovativeness, Discomfort, and Insecurity. The results reveal that SMAN 10 Bandung has a moderate level of readiness, with a total TRI score of 2.92. The Optimism variable received the highest score (0.84), while the Discomfort variable had the lowest score (0.51). Based on these results, SMAN 10 Bandung falls under the Explorers category, characterized by optimistic and innovative attitudes toward technology. Recommendations include providing additional training to reduce discomfort and insecurity when using new technology.
Smart Fishpond System Design for Pearl Catfish Cultivation Based on LoRa WAN Duta, Muhammad Arya Duta; Rachmaningrum, Nilla; Untsa, Risdilah Mimma Untsa
JESII: Journal of Elektronik Sistem InformasI Vol 2 No 2 (2024): Journal of Elektronik Sistem InformasI - JESII (DECEMBER)
Publisher : Departement Information Systems Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/jesii.v2i2.3570

Abstract

The application of industrial revolution 4.0 technology in the fisheries sector in Indonesia has a percentage of 8% so it needs to be developed by designing an integrated system. In the fisheries sector, water quality plays an important role as a medium for fish breeding. Integrated system design can be done to maintain the quality and temperature of pond water. Pearl Catfish farming requires special attention to water pH, temperature, and appropriate feeding. Manual checking of water conditions is less accurate and inefficient. An automation system with temperature and pH meter sensors integrated via LoRa WAN enables automatic monitoring and feeding. This research aims to produce a tool that controls water conditions and feeds automatically. The ideal water temperature for Pearl Catfish is 15-30℃ with pH 5-10 and ammonia < 3mg/L. Temperature control is done by watering the pond or using a peltier as a cooler. pH outside the range will activate automatic draining and filling. Tests were conducted in a pond with Pearl Catfish, with successful tests if the pH and temperature were appropriate. The device has a delay and can be accessed without internet via LoRa WAN.
Implementing Microservices Architecture in Student Competition Website using Web Service Method Nuril Hadi, Hilman; Widyayuningtias P. Listio, Syntia; Kristomoyo Kristanto, Bagus
JESII: Journal of Elektronik Sistem InformasI Vol 2 No 2 (2024): Journal of Elektronik Sistem InformasI - JESII (DECEMBER)
Publisher : Departement Information Systems Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/jesii.v2i2.3572

Abstract

Effective management of a student competition website is crucial in the contemporary digital landscape, as it can support a substantial number of participants and users with optimal performance. As the competition organizer, APTISI Jawa Timur Province often use a website as the platform for spreading information regarding these competitions. Recent advancements in these competitions encompass the introduction of additional levels and categories, participant administration functionalities, payment systems, work submissions, competition webinars, and the issuance of competition certificates. The competition website development team encounters difficulties in sustaining the website's features and quality. The swift advancement of information technology demands scalable and adaptable web solutions, especially for platforms that handle dynamic and intricate capabilities like student competition websites. This paper establishes the deployment of a microservices architecture on the student competition website (lokreatif.org) utilizing web service methodologies. The major goal is to improve the system's modularity, scalability, and maintainability by breaking the application into independently deployable services. Implementing microservices architecture in student competition websites allows each key function to be implemented as an independent service. This method not only improves the efficiency of development and maintenance but also facilitates more distributed development teams.
Designing User Interface & User Experience on Information System of Amil Zakat Institution Using Website-Based User Centered Design Method Baharudin, Rismayada; Dauni, Popon; Purwadi, Purwadi
JESII: Journal of Elektronik Sistem InformasI Vol 2 No 2 (2024): Journal of Elektronik Sistem InformasI - JESII (DECEMBER)
Publisher : Departement Information Systems Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/jesii.v2i2.3579

Abstract

Amil Zakat Institution Yayasan Masyarakat Muslim Freeport Indonesian or better known as YMM FI is an institution that distributed to the community. However, even though it has been operating for a long time, YMM FI does not have a website as information media. The basis of good website is the existence of an attractive interface that is easily understood by users, therefore this study has designed a user interface and user experience using the user centered design method through its four stages, namely; the first stage is to understand the context of use, at this stage interviews are conducted with users, then the second stage specify user requirements is a description of the flow of the system that will run using a unified modelling language, then the third stage is the design solution at this stage the researcher has proposed a website interface design, then the last stage is evaluate against requirements. which is the evaluation stage of the proposed interface design. The evaluation stage is carried out to provide experience for users. Based on usability testing with pay attention to effective and efficient aspects. To get the value of the usability testing aspects, researchers used the cognitive walkthrough method and the system usability scale (SUS). In the effective aspect, an average value of 100% is obtained for the admin display and 96% for the muzakki display, then the effective aspect gets an average value of 100% for the admin display and 95% for the muzakki display, then the SUS average value is 76,5 almost close to 77 which gets a good grade.
Implementation of Machine Learning for Disease Detection in Tomato Plants Using Convolutional Neural Networks Aziz, Faisal; Suryana, Nana
JESII: Journal of Elektronik Sistem InformasI Vol 2 No 2 (2024): Journal of Elektronik Sistem InformasI - JESII (DECEMBER)
Publisher : Departement Information Systems Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/jesii.v2i2.3580

Abstract

Diseases in tomato plants can be highly detrimental to tomato farmers, with common afflictions such as begomovirus, blight, and spider mites posing significant challenges. The implementation of machine learning offers a promising solution to address these issues and mitigate the financial losses caused by such diseases. This study aims to evaluate the effectiveness of machine learning in detecting plant diseases using Convolutional Neural Networks (CNN). The data used in this implementation was obtained from public datasets available on Kaggle and real-time data collected directly from tomato farms in Kadudampit, Sukabumi Regency. The Kaggle dataset contains 4,800 images categorized into three classes: begomovirus, blight, and spider mites. Meanwhile, the real-time dataset comprises 450 images, also divided into the same three classes. The performance of the machine learning model was tested using different datasets, with accuracy measured through a confusion matrix. The results showed that the machine learning model trained on the public dataset achieved the highest accuracy of 97%. The model trained on a combination of the public and real-time datasets achieved an accuracy of 94%, while the model trained solely on the real-time dataset achieved an accuracy of 80%. A machine learning model is considered effective if its accuracy exceeds 75%. Therefore, based on the three tests conducted, it can be concluded that the machine learning models demonstrated a good level of accuracy in detecting diseases in tomato plants

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