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JUSIFO : Jurnal Sistem Informasi
Published by Universitas Islam Negeri Raden Fatah Palembang
ISSN : 2460092X     EISSN : 26231662     DOI : -
Core Subject :
JUSIFO (Jurnal Sistem Informasi) is an Information System Journal that published by Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang. JUSIFO (Jurnal Sistem Informasi) publishes numerous research articles concerning the articles that integrate technological disciplines with Information System Audit, Software Engineering, Decision Support System, Artificial Intelligence, Application of Information Technology, Social Informatics. JUSIFO (Jurnal Sistem Informasi) is published twice a year; in June and December. In this journal, reviewers will review any submitted paper. Review process employs a double-blind review, which means that both the reviewer and author identities are concealed from the reviewers, and vice versa. We hope that the articles published by JUSIFO (Jurnal Sistem Informasi) can make a real contribution and have a widely impact.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 153 Documents
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Analisis SWOT Pemasaran Digital Menggunakan WhatsApp Business Pada Asosiasi Pengusaha Pempek Palembang Kemas Ahmad Kurniawan; Tata Sutabri
JUSIFO : Jurnal Sistem Informasi Vol 9 No 2 (2023): JUSIFO (Jurnal Sistem Informasi) | December 2023
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v9i2.20258

Abstract

This research focuses on analyzing the impact of using whatsapp business in digital marketing on the sales of pempek entrepreneurs' products in Palembang, as well as identifying the effects resulting from the use of whatsapp business. The role of ASPPEK is involved in the study to understand how the use of whatsapp business affects marketing and sales strategies for businesses, especially pempek entrepreneurs in Palembang. Interviews, observations, and literature review were conducted to provide an overview of each factor discussed in the SWOT analysis. This research indicates that the impact of using whatsapp business in digital marketing for the association of pempek entrepreneurs in Palembang has other advantages over marketing strategies, although there are some unavoidable weaknesses due to the use of the application. Increasing the visibility of UMKM products at the association of pempek entrepreneurs in Palembang through product diversification, coupon distribution, and social media promotions. Understanding whatsapp business features allows entrepreneurs to design intelligent digital marketing strategies. Despite the challenges, customer responsiveness and product visibility are strong reasons to adopt this platform.
Desain Prototype dan Implementasi Sistem Informasi Pencatatan Meter Air (SICAIR) Evi Maria; Sri Winarso Martyas Edi; Sekar Widhiyaningrum; Aji Andana
JUSIFO : Jurnal Sistem Informasi Vol 9 No 2 (2023): JUSIFO (Jurnal Sistem Informasi) | December 2023
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v9i2.20649

Abstract

Penyediaan Air Minum dan Sanitasi Berbasis Masyarakat (PAMSIMAS) aims to improve access to and quality of drinking water and sanitation in rural areas. However, the manual management of water meter readings and billing by Kelompok Pengelola Sarana Prasarana Air Minum Sanitasi (KPSPAMS) Tirto Wening, Samirono Village, has led to issues with accuracy and timeliness of water bills. Therefore, this research aims to design a water meter recording system. The system design scope includes recording water meters, calculating bills, processing payments, and generating water usage reports. The development method employs a prototype approach with the Bootstrap framework. The resulting system, named SICAIR, provides accurate billing and water usage reports that meet user needs. SICAIR offers a solution to PAMSIMAS management issues related to the accuracy of meter readings and the timeliness of water bill generation in Samirono Village.
Identifying Critical Factors for Blockchain Technology Adoption in Indonesian E-Commerce Harunur Rosyid; Umi Chotijah; Muhammad Zaky Al Mubarok; Didiary Shandy Setiyawan
JUSIFO : Jurnal Sistem Informasi Vol 10 No 1 (2024): JUSIFO (Jurnal Sistem Informasi) | June 2024
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v10i1.21270

Abstract

This study examines the adoption of blockchain technology in Indonesian e-commerce by employing the Technology Acceptance Model (TAM) to identify key influencing factors. The research focuses on four blockchain characteristics: Time Saving, Cost Saving, Data Privacy Security, and Traceability. The findings indicate that Time Saving and Traceability significantly enhance Perceived Usefulness, while Cost Saving and Data Privacy Security do not have a notable effect. The study confirms that Perceived Usefulness significantly impacts Adoption Intention, mediated by Perceived Ease of Use. Despite the insights provided, the study acknowledges limitations, such as the focus solely on individual users and the use of only four blockchain characteristics. Future research should explore additional factors, such as efficiency and government support, and consider organizational users, like SMEs, to offer a comprehensive understanding of blockchain adoption. Overall, this study offers valuable insights into the critical determinants influencing blockchain adoption in Indonesian e-commerce, emphasizing the importance of perceived benefits in shaping user intentions.
Pendekatan Machine Learning: Analisis Sentimen Masyarakat Terhadap Kendaraan Listrik Pada Sosial Media X Gathot Hanyokro Kusuma; Inggih Permana; Febi Nur Salisah; M. Afdal; Muhammad Jazman; Arif Marsal
JUSIFO : Jurnal Sistem Informasi Vol 9 No 2 (2023): JUSIFO (Jurnal Sistem Informasi) | December 2023
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v9i2.21354

Abstract

Environmental issues and the depletion of fossil fuels continue to escalate as the number of fossil fuel-based vehicle users increases in Indonesia. Electric vehicles emerge as one of the potential alternative solutions to address current environmental challenges, given their eco-friendly nature and lack of pollution emissions. Sentiment analysis is conducted to understand public responses, both supportive and opposing, towards electric vehicles. This research aims to analyze the sentiment of X-social media users regarding electric vehicles using machine learning techniques. The research stages include data collection, data selection, preprocessing, and classification using Naïve Bayes Classifier (NBC), Support Vector Machine (SVM), and K-Nearest Neighbor (KNN) algorithms. The test results show that on a balanced dataset using ROS, SVM performs the best with accuracy = 68.7%, precision = 77.9%, and recall = 68.4%. Meanwhile, NBC yields an accuracy of 60.3%, precision of 61.3%, and recall of 60.3%, while KNN has an accuracy of 53.9%, precision of 54%, and recall of 53.9%.
Perbandingan Algoritma KNN, NBC, dan SVM: Analisis Sentimen Masyarakat Terhadap Perparkiran di Kota Pekanbaru Sofia Fulvi Intan; Inggih Permana; Febi Nur Salisah; M. Afdal; Fitriani Muttakin
JUSIFO : Jurnal Sistem Informasi Vol 9 No 2 (2023): JUSIFO (Jurnal Sistem Informasi) | December 2023
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v9i2.21357

Abstract

The public response in Pekanbaru to parking policies and regulations has given rise to various sentiments, both positive and negative. This discussion extends not only within the local community but also across various social media platforms. This research aims to analyze public sentiment towards the new parking policies and regulations in the Pekanbaru area. The study involves the KNN, NBC, and SVM algorithms to classify public sentiment into positive, neutral, and negative categories. Balancing techniques used in this research include Random Over Sampling (ROS) and Random Under Sampling (RUS). The data utilized in this study were obtained from posts on the social media platform X. The testing of the dataset using ROS resulted in high accuracy, precision, and recall values. The findings of this research indicate that overall, the SVM algorithm outperforms KNN and NBC in terms of accuracy, precision, and recall. Additionally, the most dominant sentiment is negative, with 422 tweets expressing dissatisfaction with the current parking policies.
A Comparative Study of the Performance of KNN, NBC, C4.5, and Random Forest Algorithms in Classifying Beneficiaries of the Kartu Indonesia Sehat Program Putri Nabillah; Inggih Permana; M. Afdal; Fitriani Muttakin; Arif Marsal
JUSIFO : Jurnal Sistem Informasi Vol 10 No 1 (2024): JUSIFO (Jurnal Sistem Informasi) | June 2024
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v10i1.21536

Abstract

This study evaluates the performance of various algorithms in determining eligible recipients for the Kartu Indonesia Sehat program. The Random Forest algorithm demonstrated the highest accuracy, precision, and recall, with values of 72.08%, 72.41%, and 99.64%, respectively. The emphasis on recall helps minimize errors in identifying eligible recipients. Additionally, the C4.5 algorithm reduced the total number of variables from 33 to 8, highlighting its computational efficiency. The findings provide valuable insights for the Social Affairs Office of Dumai City in making informed decisions regarding KIS eligibility. The results underscore the effectiveness of using algorithmic approaches to enhance the accuracy and efficiency of aid distribution processes.
Application of the Levenshtein Algorithm for Optimizing Search Accuracy in a Web-Based Knowledge Management System Moch. Firmansyah; Satriawan Deswana
JUSIFO : Jurnal Sistem Informasi Vol 10 No 2 (2024): JUSIFO (Jurnal Sistem Informasi) | December 2024
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v10i2.21951

Abstract

This study explores the integration of the Levenshtein algorithm into a web-based Knowledge Management System (KMS) to optimize information retrieval for Academic Service Centers (ASC) in universities. By addressing common challenges such as typographical errors during searches, the Levenshtein algorithm enhances the system's ability to deliver accurate results, improving user experience and service efficiency. The KMS is designed to manage diverse knowledge resources, including procedural guides, tutorials, and documentation, while ensuring accessibility and relevance for students and staff. Testing revealed an 88.2% similarity score in handling string mismatches, demonstrating the system’s effectiveness in managing unstructured academic data. The findings emphasize the value of incorporating fuzzy matching techniques for robust knowledge management, particularly in higher education contexts where accurate information retrieval is critical. This research contributes a scalable framework for implementing KMS using string similarity algorithms, with potential applications extending to broader organizational settings.
Sales Management System with Rapid Application Development and PIECES Approach Nola Ardelia Al-Qadr; Rice Novita; Tengku Khairil Ahsyar; Zarnelly Zarnelly
JUSIFO : Jurnal Sistem Informasi Vol 10 No 1 (2024): JUSIFO (Jurnal Sistem Informasi) | June 2024
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v10i1.22222

Abstract

In this era of rapid technological advancement, the computer business plays a crucial role in providing goods and services to meet societal needs. However, Andalas Computer, despite offering a diverse range of products and services, faces challenges in its sales process and stock management, which still rely on manual methods. This study aims to develop a sales management system to facilitate the company's sales. By employing the Rapid Application Development (RAD) method, system requirements analysis can be addressed with feedback from users. This research utilizes PIECES analysis to identify opportunities from various aspects. The study results in a sales management system tailored to user needs. System testing was conducted using blackbox testing, followed by user acceptance testing to gauge user reception of the system. The results of the testing showed a positive acceptance rate of 90%.
Prediction of Whole Blood Stock Using Single Exponential Smoothing: A Case Study at the Indonesian Red Cross, Semarang Adha Wiyan Hayyannabil; Aris Tri Joko Harjanto; Bambang Agus Herlambang
JUSIFO : Jurnal Sistem Informasi Vol 10 No 1 (2024): JUSIFO (Jurnal Sistem Informasi) | June 2024
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v10i1.22368

Abstract

The Indonesian Red Cross, as a provider of public health services in the city of Semarang, experienced a shortage of whole blood supply in April 2023 due to high demand. In response to this issue, an effective prediction system is needed. This research aims to apply the single exponential smoothing method to predict blood needs at the Indonesian Red Cross in Semarang. The study uses data from 2022 to April 2024 as historical data to forecast blood requirements. The research findings indicate a continuous increase in the demand for whole blood availability. This study provides a foundation for developing a better prediction system with more complex data patterns.
Determinants of User Satisfaction with a Mobile Application Using the Extended Webqual 4.0 Method and Structural Equation Modelling: A Case of the PLN Mobile Application Andi Saputra; Dedi I. Inan; Ratna Juita; Marlinda Sanglise; Muhamad Indra
JUSIFO : Jurnal Sistem Informasi Vol 10 No 1 (2024): JUSIFO (Jurnal Sistem Informasi) | June 2024
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v10i1.23051

Abstract

In the era of rapid technological growth, people increasingly expect convenience in all aspects of life, including how they interact with public services. The PLN Mobile application, developed by PT PLN (Persero), aims to facilitate access to information and services for the community. However, many users have provided low ratings and negative feedback. The purpose of this research is to analyze the factors influencing user satisfaction with the PLN Mobile application, using the Webqual 4.0 method. A total of 101 respondents were selected using a purposive sampling technique, and the data were analyzed using Structural Equation Modeling (SEM). The findings reveal that Usability, System Quality, Information Quality, and Interaction Quality significantly affect user satisfaction, while Service Quality does not. This indicates that the application meets most user expectations, though there is still potential for further improvement. These findings offer theoretical contributions to the Webqual 4.0 method and practical insights for developers to enhance the application and improve user satisfaction.

Page 13 of 16 | Total Record : 153

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