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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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Perencanaan Inovasi Kewirausahaan bagi Majlis Taklim: Membangun Dakwah Mandiri dan Berkelanjutan Istianah, Istianah; Cecep Castrawijaya
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.v3i3.3789

Abstract

Majlis taklim plays a vital role in community religious education, yet often faces challenges such as limited funding, reliance on donors, and weak modern management models. These conditions require innovative entrepreneurial planning to strengthen the institution’s economic base and ensure sustainable da’wah. This study employs a qualitative method using literature review and descriptive analysis on Islamic entrepreneurship, da’wah management, and case studies of majlis taklim with sharia-based enterprises. The findings reveal that entrepreneurial innovation planning, supported by SWOT analysis, enables majlis taklim to design adaptive strategic visions. Innovative practices such as halal product businesses, sharia cooperatives, and digital platforms strengthen the independence of da’wah activities. Although constrained by limited human resources and low entrepreneurial literacy, development opportunities remain open through managerial capacity building and collaboration. Thus, entrepreneurial innovation serves as an effective strategy for majlis taklim to achieve independent and sustainable da’wah.
Perancangan Data Warehouse Menggunakan Metode Nine Step Pada PT. XYZ Shevchenko, Angelus Galang; Maharani, Wianti; Wijaya, Andri
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.v3i3.3796

Abstract

PT. XYZ operates in the food distribution sector and handles a large number of inbound and outbound goods transactions each day. The high transaction volume creates challengess in managing inventory effectively, highlighting the need for an integrated data management solution. This research aims to develop a data warehouse for PT. XYZ by applying the Kimball Nine-Step methodology. Data were collected through interviews, field observations, and a review of relevant literature. The data warehouse design process includes identifying fact tables and dimension tables related to receiving and shipping activities, followed by the implementation of the Extract, Transform, Load (ETL) process using SQL Server Management Studio 19. The findings indicate that the proposed data warehouse is capable of integrating operational data and presenting inventory information through reports generated using Microsoft Excel. The system supports improved stock control and enables management to make faster and more accurate decisions.
Perancangan Data Warehouse Untuk Analisis Peminjaman Dan Pengembalian Buku Di Perpustakaan Silaban, Bintang Jelita Nasrani; Zalukhu, Indri Feni Asih; Wijaya, Andri
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.v3i3.3837

Abstract

The current library environment is experiencing rapid data collection, particulary from the daily activity of borrowing and returning books. This vast amount of data could potentially be utilized for analysis, but in practice, library information systems are often used solely for operational purposes. Consequently, opportunities to extract valuable insights from this data are limited. Given the situation, this study attempts to design and implement a data warehouse focused on analyzing book borrowing and returning patterns, utilizing PostgreSQL as the primary platform. The research process involved several stages, starting with data collection, needs analysis, data warehouse model design using the star schema, and implementation into PostgreSQL. Afterward, an ETL (Extraction, Transformation, and Loading) process was performed to able to combine library transaction data into a more structured and ready for analysis. From this data, the system was able to generate various insights, such as patterns of books that were borrowed most, medim, and least.
Perancangan Data Warehouse Untuk Mendukung Keputusan Strategi Pemasaran Dalam Penjualan Br Hombing, Nova Magdalena; Simanjuntak, Welmi; Wijaya, Andri
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.v3i3.3855

Abstract

Operational sales data is often fragmented, impeding management from developing data driven marketing strategies. This research aims to conceptually design a data warehouse to support sales marketing strategy decision making. The method utilizes a descriptive-conceptual approach employing the Kimball’s Nine-Step methodology on the Superstore Sales Data (2025) dataset from Kaggle. The resulting design is a Star Schema, which integrates historical data (customer, product, region, and time). Via the ETL (Extract, Transform, Load). The derived multidimensional analysis yields critical insights: Furniture products are the primary profit drivers, the Home Office segment demonstrates superior profitability, and the Q4 seasonal pattern (October-December) is the consistent sales speak. This data warehouse model proves effective in providing structured, actionable insights for marketing profit optimization.
Analisis Manajemen Risiko TI Pada PT XYZ Menggunakan Cobit 5 Domain APO12 Fatahillah, KGS Muhammad Rizky; Saputra, Rizky Surya; Oktarina, Theresia; Andayani, Sri
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.v3i3.3860

Abstract

This study analyzes information technology (IT) risk management at PT XYZ using COBIT 5 domain APO12. PT XYZ, as an Umrah travel service provider, relies heavily on information systems, making it vulnerable to risks stemming from environmental, human, and infrastructure factors. The purpose of this study is to identify IT risks, assess their impact and likelihood of occurrence, determine risk management capability levels, and provide recommendations for improvement. This study used qualitative methods through interviews and observations, with analysis based on subdomains APO12.01–APO12.06. The results indicate that PT XYZ faces various significant risks. The capability assessment places the current condition at Level 3 (Established Process), where processes are running and documented but not yet optimal. The company's target is to reach Level 5 (Optimized Process). Recommendations include improving IT infrastructure, strengthening data security, and routine training to minimize user errors.
Penerapan Data Mining Untuk Klasterisasi Buku Di Perpustakaan Menggunakan Algoritma K-Means Zalukhu, Indri Feni Asih; Silaban, Bintang Jelita Nasrani; Wijaya, Andri
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.v3i3.3904

Abstract

Libraries expand their book collections every year, making managing and organizing shelves increasingly challenging. This makes finding and grouping relevant books quite time – consuming, especially when the data is already quite large. Therfore, this study attemps to utilize data mining methods, specifically the K-Means algorithm, to help group books based on certain similarities, such as category and borrowing. Before the grouping process is carried out, the book data first goes through preprocessing and normalization stages to make data look neat and ready to be processed. Furthermore, the K-Means algorithm is used to generate several groups of books with similar characteristics. From the data processing results, K-Means has been proven to be able to form several fairly clear clusters, this sifnificantly assisting libraries in organizing books, providing reading recommendations, and improving the quality of service for students and lecturers. Overall, the implementations of the K-Means algorithm in this library can accelerate collection management work and support a more data – driven decision – making process.
Prediksi Kualitas Udara DKI Jakarta Menggunakan Algoritma Random Forest Berbasis Time-Lag Feature Prasetya, Heronimus Diego; Pratama, Jeremia Sandy; Khoirunnisaa, Alifah; Herdiatmoko, Hendrik Fery
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.v3i4.3933

Abstract

The volatility of air quality in Jakarta, which often deteriorates abruptly, demands a proactive early warning mechanism rather than mere real-time monitoring. A major limitation in environmental datasets is the class imbalance, where extreme hazardous conditions are recorded much less frequently than normal conditions, causing them to be overlooked by standard prediction models. This study aims to develop an H+1 (next-day) air quality prediction system by integrating the Random Forest algorithm with the SMOTE (Synthetic Minority Over-sampling Technique) data balancing technique. A Time-Lag feature engineering approach was applied to transform historical data from 2010-2025 into future predictive variables. Experimental results demonstrate that the application of SMOTE successfully improved the model's sensitivity in recognizing 'Unhealthy' categories that were previously difficult to detect. Feature analysis revealed that the accumulation of surface Ozone (O3) and Particulate Matter (PM10) serve as the most dominant indicators triggering air status changes for the following day. This system is intended to serve as a health mitigation reference for the public prior to outdoor activities.
Analisis Audit Sistem Informasi Pada PT XYZ Menggunakan Framework Cobit 2019 Syakirah, Muthia; Riadi, Safina; Pratama, Dicky
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.v3i4.3936

Abstract

Information system audit is essential to ensure the effectiveness, security, and alignment of IT systems with a company’s strategic objectives. This study analyzes PT XYZ’s information system using the COBIT 2019 framework, focusing on process capability assessment, governance compliance, and identifying areas for improvement. The research employs a descriptive case study approach, using primary data from interviews and observations, and secondary data from internal documentation and company SOPs. Analysis covers five COBIT 2019 domains (EDM, APO, BAI, DSS, MEA) and maps processes to Enterprise Goals to evaluate strategic alignment. Audit results indicate most domains are at Level 2 (Managed), while BAI and MEA remain at Level 1 (Performed), highlighting the need for improved documentation and monitoring. Recommendations include enhancing process documentation, strengthening IT governance, staff training, implementing SLAs, and conducting regular evaluations. This study provides a foundation for PT XYZ to improve information system capability and IT governance effectiveness.
Peran Good Corporate Governance Dalam Mencegah Kecurangan (FRAUD) Pada Industri Perbankan Zein, Ahmad Wahyudi; Balqis, Keisya Putri; Nasution, Alya Arianti; Harahap, Indah Tri Sari
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.v3i4.3942

Abstract

The banking industry has a strategic function when supporting financial stability, so its management is required to be held openly and accountably. The implementation of Good Corporate Governance as a framework is necessary when strengthening public trust and reducing the potential for the presence of fraudulent practices. This article aims to understand the role of Good Corporate Governance in fraud prevention efforts in the banking sector. The method used is a qualitative descriptive approach by reviewing various academic literature including scientific journals and relevant books. The results of the discussion show that the principles of Good Corporate Governance have a role in strengthening the internal control system, increasing accountability, and creating a culture of organizational ethics. The conclusion of the article emphasizes that Good Corporate Governance is a strategic instrument in building banking governance with health, integrity, and sustainability in order to maintain public trust and encourage the stability of the national financial system. This approach also shows a conceptual overview with the overall importance of governance, supervision, compliance, and organizational responsibility when reducing the risk of banking fraud in a systematic and sustainable manner.
Optimasi Support Vector Machine Menggunakan Feature Selection Chi-Square untuk Klasifikasi Sentimen Program Makan Siang Gratis Darmawan, I Komang; Prayogo, Aji; Chan, Steven; Herdiatmoko, Hendrik Fery
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.v3i4.3943

Abstract

The Free Nutritious Lunch program policy has triggered massive public discourse on social media X, reflecting diverse public perceptions toward government policy effectiveness. This study aims to optimize the performance of the Support Vector Machine (SVM) algorithm by implementing Chi-Square Feature Selection to address high data dimensionality and noise challenges in social media text. A dataset of 10,524 tweets was acquired and processed through preprocessing, TF-IDF weighting, and lexicon-based automatic labeling. The results show that Chi-Square feature selection integration successfully reduced dimensions from 16,394 to the 1,000 best features without degrading accuracy. The linear kernel SVM model achieved an optimal accuracy rate of 91.12%. However, this study identifies that this high accuracy is heavily influenced by the dominance of the positive class, whereas performance on the negative and neutral classes remains limited due to data imbalance. Overall, feature optimization proved to increase computational efficiency while maintaining accuracy stability in mapping public responses to strategic national policies.

Page 19 of 21 | Total Record : 203

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