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INDONESIA
Journal Of Informatics And Busisnes
Published by CV ITTC Indonesia
ISSN : -     EISSN : 29884853     DOI : doi.org/10.47233/jibs
Core Subject : Economy, Science,
Computer Science & IT Economics, Econometrics & Finance
The Journal Of Informatics And Busisnes (JIBS) E-ISSN : 2988-4853 is an interdisciplinary journal. It publishes scientific papers describing original research work or novel product/process development. The objectives are to promote an exchange of information and knowledge in research work, and new inventions/developments on the use of Informatics in Economics and Business. This journal is useful to researchers, engineers, scientists, teachers, managers, and students who are interested in keeping a track of original research and development work being carried out in the broad area of informatics in economics and business through a scholarly publication.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 203 Documents
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Implementasi Data Mining dengan Metode K-Means dan FCM untuk Analisis Pola Pembelian Konsumen Online Rio Rinto Saki; Rizky Juniarko Taruna Putra; Elkin Rilvani
Journal Of Informatics And Busisnes Vol. 3 No. 2 (2025): Juli - September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v3i2.3106

Abstract

This study explores the implementation of data mining techniques using K-Means and Fuzzy C-Means (FCM) clustering methods to analyze online customer purchasing patterns. The focus of the analysis lies in identifying similarities and segmenting customers based on their transaction behaviors. By using datasets collected from e-commerce platforms during the 2022–2023 period, the study evaluates the effectiveness of each algorithm in discovering meaningful clusters. The results indicate that both methods can group consumers based on purchasing trends, with FCM offering better flexibility due to its fuzzy membership assignment. This clustering approach can support decision-making in targeted marketing, product recommendations, and customer relationship management.
Rancang Bangun Aplikasi Laporan Keuangan Swalayan 89 Berbasis Dekstop Ayu, Dewi Fajar; Rusdiana, Jamal; Rusdiana, Ninanesia
Journal Of Informatics And Busisnes Vol. 3 No. 2 (2025): Juli - September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v3i2.3295

Abstract

In the digital era, information technology plays a crucial role in enhancing operational efficiency and effectiveness across various sectors, including financial management in retail businesses. Swalayan 89, as a growing retail business unit, still relies on manual recording of financial transactions. This practice may lead to recording errors, delayed reporting, and difficulties in preparing accurate and timely financial statements. This study aims to design and develop a desktop-based financial reporting application using Visual FoxPro 9.0. The application is expected to automate transaction recording processes, improve accuracy, speed up reporting, and support data-driven decision-making in a more efficient and real-time manner. The application is developed using the System Development Life Cycle (SDLC) with the Waterfall model, which includes the stages of Requirement, Design, Implementation, Testing (Blackbox), and Maintenance. Data collection techniques include observation, interviews, and literature study. With the implementation of this application, Swalayan 89 is expected to have a better-organized financial system, minimize recording errors, improve work efficiency, and adapt to the needs of a digitalized system.
Sentiment Analysis of TikTok User Reviews on Google Playstore Using Naïve Bayes Methods Prakoso, Indra; Andhika Aziz Bachtiar; Elkin Rilvani
Journal Of Informatics And Busisnes Vol. 3 No. 2 (2025): Juli - September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v3i2.3297

Abstract

interactions, one of which is TikTok. The TikTok platform has become a global phenomenon favored by many, especially the younger generation. As the number of users increases, reviews on digital platforms such as the Google Play Store become an important source for understanding users' perceptions of the application. Therefore, a deep understanding of user sentiment toward TikTok is essential for better app development and effective marketing strategies. To analyze TikTok user sentiment, this study employs two well-established computational methods: Support Vector Machine (SVM) and Naïve Bayes. These methods are used to classify user reviews into positive or negative sentiment categories. The approach involves several stages, including data collection, data preprocessing, data splitting, sentiment classification, and model evaluation. The study shows that the SVM model achieved an accuracy of 88.76% with an AUC of 92.61%, outperforming Naïve Bayes, which achieved an accuracy of 84.27% and an AUC of 92.57%. In the positive sentiment category, SVM recorded a precision of 90.74% and a recall of 95.15%, while Naïve Bayes yielded a precision of 83.61% and an almost perfect recall of 99.03%. For negative sentiment, SVM showed a precision of 80.39% and recall of 67.21%, whereas Naïve Bayes had a higher precision of 91.30% but a lower recall of 34.43%, with a lower F1-score of 50%.
Rancang Bangun Aplikasi Pengelolaan Kas Berbasis Web Studi Kasus Rt 9 Kanigaran Dilla Puspita; Yanto, Dwi; Rusdiana, Ninanesia
Journal Of Informatics And Busisnes Vol. 3 No. 2 (2025): Juli - September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v3i2.3300

Abstract

Financial management at the neighborhood level (RT) plays a crucial role in supporting transparency and accountability in community administration. However, the recording of transactions is still done manually, resulting in slow processes, a high risk of errors, and inefficiencies in preparing monthly and annual financial reports. Transparency is also limited, as financial information is only accessible through community meetings or direct requests. This study aims to design and develop a web-based cash information system to improve the efficiency, accuracy, and transparency of managing incoming and outgoing funds in RT 09, Kanigaran Subdistrict, Probolinggo City. The research applies the Waterfall system development method, which includes requirement analysis, system design, implementation, testing, and maintenance. The system is tested using the black box testing method to ensure each function operates correctly. The developed application includes key features such as multi-access login, master data management (accounts and residents), recording of income and expenses, and the generation of financial reports accessible based on user roles. The testing results show that the application works effectively, supports the digitalization of financial management at the RT level, and enhances transparency. Thus, this system offers an effective solution for improving financial governance at the neighborhood level.
Rancang Bangun Aplikasi Presensi Tutor Tendik PKBM Hidayah Probolinggo Berbasis Web Irwan Hadi Pratama; Lamsadi; Bambang Hariyadi
Journal Of Informatics And Busisnes Vol. 3 No. 2 (2025): Juli - September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v3i2.3336

Abstract

The development of information technology has driven the digitalization of various aspects of educational management, including attendance systems for educators. At PKBM Hidayah, Kota Probolinggo, attendance recording is still conducted manually, resulting in delays in data recapitulation, potential recording errors, and low efficiency and transparency. This study aims to design and develop a web-based attendance application to improve the efficiency and accuracy of recording the presence of tutors and education staff. The research method used is the SDLC (System Development Life Cycle) model. Data collection techniques employed include observation, interviews, and document studies. For application development, the waterfall method is applied to build the attendance application. This system is expected to provide a modern solution for managing educator attendance within PKBM and other non-formal educational institutions, ensuring better data accuracy, faster processing, and improved transparency in administrative processes.
Penentuan Hasil Ujian Karateka Inkanas Menggunakan Metode WSM Berbasis WEB Prayuda, Muhammad Hozi; Arlis, Syafri; Andrianof, Harkamsyah
Journal Of Informatics And Busisnes Vol. 3 No. 3 (2025): Oktober - Desember
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v3i3.3230

Abstract

The INKANAS Karate School of West Sumatra routinely conducts promotion tests for its karateka. However, the assessment process is still carried out manually, which risks subjectivity and inefficiency. This research aims to design a Decision Support System (DSS) based on the Weighted Sum Model (WSM) method to determine promotion eligibility more objectively and systematically. The system uses three criteria: Kihon, Kata, and Kumite, and was developed using PHP and MySQL. This DSS is expected to support a more transparent and efficient decision-making process.
Text Mining of Trade War in Indonesia News (Tempo.co): A Wordcloud, Sentiment Analysis, and Cluster Sari, Dian Fitriarni; Yasha Langitta Setiawan
Journal Of Informatics And Busisnes Vol. 3 No. 2 (2025): Juli - September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v3i2.3422

Abstract

This study focuses on analysing news headlines from Indonesia's leading English daily newspaper, Tempo.co. with total of 4,184 news headlines. We were manually collected it from April to June 2025. The data was processed and analysed using the R Studio package for text mining and sentiment analysis. Various methods such as tokenisation, standardisation, data cleaning, stopword removal, stemming, and lemmatisation were used in the pre-processing stage to extract information. The research methodology included techniques such as wordcloud, sentiment analysis, and clustering to identify the most frequently occurring words, emotional tones, and groups of words that are interrelated in news headlines. Based on the results of the text mining analysis, it was found that the majority of news headlines focused on President Donald Trump's speech on Liberation Day and its impact on trade policy, particularly regarding import tariffs on trading partner countries. This coverage influenced public perception and business decision-making in political and economic aspects.
Analisis Pelanggaran Etika Profesi pada Kasus Kebocoran Data Aparatur Sipil Negara Tahun 2024 Rofi Nazar Amrikin
Journal Of Informatics And Busisnes Vol. 3 No. 3 (2025): Oktober - Desember
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v3i3.3436

Abstract

This study analyzes the ethical violations in the 2024 case of personal data leakage of 4.7 million Indonesian civil servants (ASN). The research aims to identify the factors causing the leakage, examine it through the perspective of professional ethics in information technology, and highlight its ethical, social, and legal impacts. A literature-based qualitative approach was used, drawing on academic journals, media reports, and government documents. Findings show that technical weaknesses, insufficient application of professional ethics, lack of supervision, and weak regulations contributed to the case. Ethical violations identified include lack of professional responsibility, neglect of individual privacy, non-compliance with security standards, and disregard for social consequences. The impacts include declining public trust, heightened risks of cybercrime, and legal vulnerabilities. Recommendations include strengthening data security systems, enforcing regulations, improving ethical awareness, and ensuring transparency in communication.
Implementasi Stack pada Sistem Reservasi Restoran Berbasis Web dengan Stack-based History Management Maria Winarni Br. Silitonga; Sahara Lani Lestari; Angelica Barus
Journal Of Informatics And Busisnes Vol. 3 No. 3 (2025): Oktober - Desember
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v3i3.3446

Abstract

Web-based restaurant reservation systems are susceptible to user input errors that negatively affect operations and customer experience. This paper presents a prototype reservation application that integrates stack-based history management to provide Undo/Redo functionality, change tracking, and real-time reservation preview. The system is implemented with HTML, CSS, and JavaScript; history is managed using two stacks (undoStack and redoStack) implemented via JavaScript arrays, and LocalStorage is used for session persistence in the demo. Core operations (push/pop/peek) execute in O(1) time, ensuring responsive performance in small to medium-scale scenarios. Functional testing confirms the Undo/Redo behavior and improved error recovery and auditability. Limitations include large history memory usage and lack of multi-user synchronization; future work should explore backend persistence and synchronization techniques (e.g., CRDT or OT) for real-time collaborative support.
Aplikasi Monitoring Tahfidz “SI Huffadz” Berbasis Web Studi Kasus MI Mathla’ul Anwar Twelagiri Shintya Wahyu Ramadhan; Muh. Zia Ulkhaq; Tutut Dwi Prihatin
Journal Of Informatics And Busisnes Vol. 3 No. 3 (2025): Oktober - Desember
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v3i3.3455

Abstract

MI Mathla'ul Anwar Twelagiri is one of the Islamic educational institutions that has a tahfidzul qur'an program. One important factor that can influence the process of memorizing students is the monitoring system. MI Mathla'ul Anwar Twelagiri uses a liaison book as a medium for monitoring student memorization. However, based on research from interviews, observations, and documentation, the monitoring process is still less effective because parental involvement in monitoring memorization at home is relatively low, communication between teachers and parents tends to be one-way, and lost or damaged liaison books make the evaluation of student development inconsistent. In this study, a Web-Based tahfidz monitoring application 'SI Huffadz' was created using the CodeIgniter 4.0 framework and the waterfall development method to solve the above problems by testing the quota sampling system taken from 20 respondents and obtained the results of the scores from admin respondents 84%, teachers 85%, and guardians 81.6%. From the results of the questionnaire, the tahfidz monitoring application 'SI Huffadz' that was created can be used by madrasas, especially teachers supervising the tahfidzul Qur'an program to increase the effectiveness in the process of monitoring the development of student memorization.

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