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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 Metode Kimball dan Pendekatan Star Schema dalam Membangun Data Warehouse Analisis E-Commerce Oktarina, Theresia; Sanjaya, Aloisius Egi; Wijaya, Andri
Journal Of Informatics And Busisnes Vol. 3 No. 4 (2026): Januari - Maret
Publisher : CV. ITTC INDONESIA

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Abstract

Perkembangan platform e-commerce mendorong peningkatan volume data transaksi yang sangat besar dan kompleks. Namun, data tersebut umumnya masih tersimpan dalam sistem operasional yang belum optimal untuk kebutuhan analisis jangka panjang dan pengambilan keputusan strategis. Penelitian ini bertujuan untuk merancang dan mengimplementasikan data warehouse pada platform e-commerce VWX, khususnya pada kategori Pet Supplies, guna mendukung analisis bisnis secara multidimensi. Metode yang digunakan adalah pendekatan Kimball dengan model star schema, yang terdiri dari satu tabel fakta dan dua tabel dimensi. Data diperoleh dari hasil web scraping dan diproses melalui tahapan ETL (Extract, Transform, Load) menggunakan RapidMiner untuk memastikan kualitas, konsistensi, dan kesiapan data. Selanjutnya, data dianalisis menggunakan teknik OLAP seperti roll-up, drill-down, slice, dan dice untuk menggali informasi terkait performa produk, kategori, dan kualitas rating pelanggan. Hasil penelitian menunjukkan bahwa penerapan data warehouse dengan model star schema mampu menyajikan data secara terstruktur dan mempermudah proses analisis, sehingga menghasilkan informasi yang relevan dan dapat dimanfaatkan sebagai dasar pengambilan keputusan yang lebih efektif pada platform e-commerce VWX.
Implementasi Data Warehouse Skema Snowflake untuk Analisis Determinan Kompetensi Siswa Samuel Dimas Sutikno; Michael Imanuel; Andri Wijaya
Journal Of Informatics And Busisnes Vol. 3 No. 4 (2026): Januari - Maret
Publisher : CV. ITTC INDONESIA

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Abstract

The implementation of the National Assessment (AN) produces complex educational data volumes, covering the results of the Minimum Competency Assessment (AKM), Character Surveys, and Learning Environment Surveys. The management of transactional and scattered data often hinders the comprehensive education quality evaluation process. This study aims to design and implement a Data Warehouse using the Snowflake Schema method to analyze the influence of socio-economic status and school profiles on student literacy and numeracy achievements. Kimball's Nine-Step Methodology approach is used in data architecture design. Test results show that the Snowflake scheme is effective in handling regional and school dimension hierarchies by reducing storage redundancy. OLAP (Online Analytical Processing) analysis reveals significant gaps in literacy and numeracy scores based on school accreditation levels and student economic backgrounds, where school quality is proven to be a moderating variable in improving student achievements from low economic groups.
Implementasi Data Mining Dalam Mengkategorikan Produk Terlaris dan Kurang Laris Pada Toko Retail OPQ Menggunakan Metode Naive Bayes Oktarina, Theresia; Ketut Agus Wiikananda; Wijaya, Andri
Journal Of Informatics And Busisnes Vol. 3 No. 4 (2026): Januari - Maret
Publisher : CV. ITTC INDONESIA

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Abstract

Pesatnya volume data transaksi menuntut efisiensi dalam pengelolaan stok dan rencana pemasaran di industri ritel. Riset ini mengevaluasi penggunaan algoritma Naive Bayes untuk memisahkan produk di Toko OPQ menjadi kategori "Unggulan" dan "Reguler". Dengan bantuan RapidMiner Studio, dataset diproses melalui fase pembersihan, standarisasi Z-score, serta pengujian dengan rasio data 70:30. Temuan eksperimen menunjukkan akurasi model mencapai 99%. Meski demikian, ditemukan kendala pada nilai presisi kelas "Unggulan" yang hanya sebesar 16,67% akibat adanya ketimpangan distribusi jumlah sampel. Studi ini menyimpulkan bahwa metode ini efektif untuk memetakan tren, namun memerlukan optimasi pada keseimbangan dataset
Analisis Sentimen Berita terhadap Harga Saham BBCA Menggunakan Naive Bayes Michael Imanuel; Samuel Dimas Sutikno; Andri Wijaya
Journal Of Informatics And Busisnes Vol. 3 No. 4 (2026): Januari - Maret
Publisher : CV. ITTC INDONESIA

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Abstract

The dynamics of the Indonesian capital market are increasingly influenced by information flow in the digital era. PT Bank Central Asia Tbk (BBCA), as a key market proxy, experienced price volatility in 2024–2025 despite solid fundamentals, indicating the influence of market psychology. This study aims to analyze the effect of stock market news sentiment on BBCA stock prices and test the effectiveness of the Multinomial Naive Bayes algorithm. Using a text mining approach, 5,000 economic news articles (2020–2025) were processed using TF-IDF and classified into positive, negative, and neutral sentiments. The results show the model achieved 92.4% accuracy with 89% precision for negative sentiment detection. Pearson correlation analysis revealed a strong positive relationship (r = 0.78) between daily sentiment scores and the following day's closing prices. The study concludes that news sentiment is a valid leading indicator for stock movements. The Naive Bayes algorithm proved efficient for financial text analysis, offering a viable tool for investor risk mitigation.
Pengaruh Gaya Kepemimpinan Transformasional, Lingkungan Kerja Digital, Dan Kompetensi Karyawan Terhadap Kinerja Karyawan Dengan Motivasi Kerja Sebagai Variabel Mediasi Saputra , Rizki
Journal Of Informatics And Busisnes Vol. 3 No. 4 (2026): Januari - Maret
Publisher : CV. ITTC INDONESIA

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Abstract

This study aims to analyze the effect of transformational leadership style, digital work environment, and employee competence on employee performance, with work motivation as a mediating variable. This research is motivated by the increasing demands of the digital era, which require organizations to adopt adaptive leadership, develop technology-based work environments, and enhance employee competence in order to improve performance sustainably.This study employs a quantitative approach using a survey method. The population of this research consists of employees at the selected company, with a saturated sampling technique applied. Data were collected through questionnaires developed based on indicators of each research variable. The collected data were analyzed using statistical techniques through SPSS, including validity and reliability tests, classical assumption tests, multiple linear regression analysis, coefficient of determination (R²), and mediation testing using the Sobel method.The results indicate that transformational leadership style, digital work environment, and employee competence have a positive and significant effect on employee performance. Furthermore, work motivation also has a positive and significant effect on employee performance. The mediation test results reveal that work motivation significantly mediates the relationship between transformational leadership style, digital work environment, and employee competence on employee performance. The coefficient of determination indicates that a substantial proportion of the variation in employee performance can be explained by the variables examined in this study, while the remaining variation is influenced by other factors outside the research model.This study is expected to provide both theoretical and practical contributions by offering insights for organizations to enhance employee performance through strengthening transformational leadership, improving digital work environments, developing employee competence, and managing work motivation effectively.
Analisis Sentimen Ulasan Aplikasi Bibit Menggunakan TF-IDF dan Support Vector Machine Adeodatus, Marselinus Dewadaru Bayu; Nopitasari, Sepiyana; Meivia, Wirda Arta; Herdiatmoko, Hendrik Fery
Journal Of Informatics And Busisnes Vol. 3 No. 4 (2026): Januari - Maret
Publisher : CV. ITTC INDONESIA

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Abstract

The rapid growth of financial technology (fintech) applications has increased the number of user reviews on digital platforms. These reviews contain valuable information regarding application quality, yet they are unstructured and difficult to analyze manually. This study aims to classify user review sentiments of the Bibit investment application into positive and negative categories using the Term Frequency–Inverse Document Frequency (TF-IDF) method and the Support Vector Machine (SVM) algorithm. The dataset was obtained from Kaggle, consisting of user reviews of the Bibit application collected from Google Play Store. The data were processed through several preprocessing stages, including cleaning, case folding, tokenization, stopword removal, and stemming. Feature extraction was performed using TF-IDF, and classification was conducted using SVM with a linear kernel. Model performance was evaluated using accuracy, precision, recall, and F1-score metrics. The results indicate that the combination of TF-IDF and SVM provides good performance in classifying the sentiment of Bibit application user reviews.
Business Process Reengineering pada Sistem Perekrutan Tenaga Kerja Outsourcing di PT Dapensi Trio Usaha sari, Alia Putri; Nur Alifa, Putri Maharani; manullang, Marisa Lina; Andayani, Sri
Journal Of Informatics And Busisnes Vol. 3 No. 4 (2026): Januari - Maret
Publisher : CV. ITTC INDONESIA

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Abstract

PT Depensi Trio Usaha is a private company engaged in outsourcing, an affiliate of PT Pos Indonesia (Persero). Its recruitment process still faces several obstacles, such as manual processes, limited applicant databases, and inefficient selection and management of the required workforce. This study aims to analyze and redesign the recruitment process using the Business Process Reengineering (BPR) method. The redesign process involves three main stages: rethink, redesign, and retool, with the initial identification of Critical Success Factors (CSFs) and Key Performance Indicators (KPIs). The desired solution is a shift to fully digitizing the recruitment process through online forms and the use of databases. The results of this study indicate that the implementation of BPR can improve the efficiency and effectiveness of the recruitment process by digitizing registration, selection, and workforce data management.
Penerapan Algoritma C4.5 Dalam Klasifikasi Penyakit Diabetes Menggunakan Dataset Pima Indians Fakhri Hamdani; Muhammad Ari Shidqi; Arip Rahman; Piero Ariessandy; Dwi Saputra; Gregorius Waek; Maria Oktaviani
Journal Of Informatics And Busisnes Vol. 3 No. 4 (2026): Januari - Maret
Publisher : CV. ITTC INDONESIA

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Abstract

The increasing number of diabetes mellitus sufferers makes early identification a crucial step to reduce the risk of complications. Utilizing health data through a data mining-based approach offers opportunities to assist in more systematic disease analysis and classification. This research focuses on the application of the Decision Tree C4.5 algorithm to classify diabetes using the Pima Indians Diabetes dataset. The data used consisted of 768 female patients with eight medical attributes related to health conditions, such as glucose levels, body mass index, blood pressure, age, and number of pregnancies. The research process included data processing, model development, and evaluation of the classification results using the CRISP-DM workflow. The results showed that the classification model built using the C4.5 algorithm achieved an accuracy of 77.04%. The resulting decision tree structure demonstrated that the glucose level attribute played a dominant role in determining the classification results. These findings demonstrate that the Decision Tree C4.5 algorithm can be utilized as a fairly effective approach to assist in the initial classification of diabetes based on medical data.
Implementasi Togaf Untuk Perancangan Arsitektur Rumah Sakit Zainal Nur Ali; Raseuki, Geubrina; Ramadani, Nia; Fahriza, Hafizh; Matondang, Nadila Rizkika Dwi Ananada; Azzahra, Raissha Vathyma; Hidayat, Putri Syahbillah; Sari, Ika Yusnita
Journal Of Informatics And Busisnes Vol. 3 No. 4 (2026): Januari - Maret
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v3i4.4041

Abstract

This research analyzes the issue of digital transformation in hospitals in North Sumatra, characterized by information system fragmentation, application duplication, and inconsistent integration of clinical and administrative data, which impacts operational efficiency and service speed. This research develops an enterprise architecture using the TOGAF (The Open Group Architecture Framework) approach thru the TOGAF ADM (Architecture Development Method) architecture development method to achieve alignment between business, data, application, and information technology (IT) architectures. This research method was conducted descriptively, with primary data collected thru interviews and observations of the service process, as well as secondary data obtained from Indonesian hospital datasets and relevant supporting documents. The research objects consist of 10 hospitals with B, C, and D classes. The design process was carried out thru seven ADM phases, aiming to produce an architectural blueprint and implementation recommendations. The evaluation was conducted thru gap analysis and descriptive statistics to assess the level of system integration before and after the implementation of TOGAF ADM. Data shows that the average integration increased from 65% to 77.2%, representing a 12.2-point increase, with variations ranging from 5 to 15 points. In B-class hospitals, the average integration increased from 80% to 92.3%. For C-class hospitals, the increase was from 62% to 76%, while D-class hospitals showed an increase from 50% to 57.5%. The highest recorded increase was 15 points in some hospitals, while the lowest increase found was 5 points in D-class hospitals. Hospitals with larger capacities showed an improvement in operational efficiency between 20% and 25%, which was related to improvements in electronic medical record (EMR) integration and hospital management systems. The main recommendations of the research include phased and modular implementation thru cloud storage, strengthening data governance, and Application Programming Interface-based integration to reduce costs and improve interoperability.
Manfaat Teknologi Di Bidang Pendidikan Dan Ekonomi M.Fazli Harsya; Muhammad Aditya Setiawan; Raja Ferdiansyah Siregar; Muhammad Faiz Ridho; Muhammad ferdy zega; Said Hambali Takhir
Journal Of Informatics And Busisnes Vol. 3 No. 4 (2026): Januari - Maret
Publisher : CV. ITTC INDONESIA

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Abstract

Information systems have become an essential component in organizational activities, particularly in managing data and supporting decision-making processes. Along with the rapid advancement of information technology, a clear understanding of the role of information systems and the technologies that support them is increasingly important. This study aims to examine the role of information systems and to identify supporting technologies that contribute to organizational effectiveness and efficiency. The research adopts a descriptive qualitative approach through a literature review by analyzing relevant scientific publications. The findings indicate that information systems play a role in data processing, information delivery, and decision support. Technologies such as database systems, web-based applications, and decision support systems are widely used to enhance operational performance. This study provides a conceptual overview that may serve as a reference for future studies and for organizations seeking to better utilize information systems.

Page 20 of 21 | Total Record : 203

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