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All Journal snimed Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Semantik JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Zonasi: Jurnal Sistem Informasi Jurnal Informatika dan Rekayasa Perangkat Lunak Prosiding Seminar Nasional Multidisiplin Ilmu Jurnal Sistem Informasi dan Sains Teknologi MEANS (Media Informasi Analisa dan Sistem) Jurnal Pengkajian Dhamma Algor PROFICIO: Jurnal Pengabdian Masyarakat JURNAL PENDIDIKAN INDONESIA: Teori, Penelitian, dan Inovasi INTECH (Informatika dan Teknologi) Abdi-Dharma Jurnal Abdimas Musi Charitas Jurnal Sistem Informasi JSITP JSITIK: Jurnal Sistem Informasi dan Teknologi Informasi Komputer Jurnal Ilmiah Sistem Informasi MDP Student Conference Journal Of Informatics And Busisnes Jurnal Ilmiah Computer Science Masterpiece: Journal of Islamic Studies and Social Sciences Jurnal Sains Sistem Informasi Inovasi Gagasan Abdimas & Kuliah Kerja Nyata Jurnal Dunia Peternakan Jurnal Sistem Informasi, Manajemen dan Teknologi Informasi Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) INTECH (Informatika dan Teknologi)
Andri Wijaya
Sistem Informasi, Sekolah Tinggi Teknik Musi, Palembang 30133
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Journal : Journal Of Informatics And Busisnes

 1 
Prototype Data Warehouse Kantor Penilai Publik XYZ Dengan Metode Nine-Step Kimball Ratu, Anggitta; Kusneti, Leni; Wijaya, Andri
Journal Of Informatics And Busisnes Vol. 1 No. 2 (2023): Juli - September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v1i3.372

Abstract

In the era of information technology, data management has become crucial for organizations. The Public Appraisal Office (KJPP) XYZ in Palembang City, despite providing accurate property analysis, is still limited to the use of hard disks, hard copies, email, and Excel. This results in a lack of integration and efficiency in their operations. Therefore, this research proposes a solution in the form of designing a data warehouse prototype using the Nine-Step Kimball method. This method is employed as a systematic approach in designing and building a data warehouse, with the aim of ensuring effective and relevant development for business needs. The design will organize data into table components, creating regularity and centralization of data to facilitate search and analysis. The inspiration for this research comes from similar implementations in online market transactions and television editorial decisions using the snowflake schema and the successful Nine-Step Kimball method. It is hoped that through this approach, KJPP XYZ can optimize access, analysis, and use of the data.
Analisis Dan Perancangan Data Warehouse Untuk Pengelolaan Stok Barang Pada Cv Aneka Artha Niaga Septi Putri Azzahra; Yohanes Agung Apriyanto; Andri Wijaya
Journal Of Informatics And Busisnes Vol. 1 No. 2 (2023): Juli - September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v1i2.375

Abstract

CV Aneka Artha Niaga is a developing company which operates in the field of kassemergud vesmuving distributor. Distributor means an actor who distributes finished products from factory production in the form of packaged snacks and drinks to shops that have registered as customers. As a business that operates in the distribution sector, stock management is an important factor in the success of selling the products they offer. From availability to distribution to customers. The large amount of data that is managed makes it difficult for CV Aneka Artha Niaga to process data analysis and make decisions. This research aims to overcome existing problems at CV Aneka Artha Niaga by implementing a data warehouse with the ITL (Extract, Transform, Load) process. The method used is Kimball's nine steps. Data was collected through field observations, interviews, and the company's ERP system. The result of this research is the implementation of a data warehouse which can be the answer to the problems and information that CV Aneka Artha Niaga needs.
Analisis Sentimen Review Pemain Teamfight Tactics dari Playstore untuk Meningkatkan Kualitas Game Deo anggoro; Andreas Alessandro Fernando Putra; Andri Wijaya
Journal Of Informatics And Busisnes Vol. 1 No. 3 (2023): Oktober - Desember
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v1i3.454

Abstract

Game online kini telah menjadi salah satu bentuk hiburan paling diminati di seluruh dunia. Teamfight Tactics (TFT) mencuat sebagai salah satu game online yang sedang populer saat ini. Tujuan dari penelitian ini adalah untuk mengevaluasi sentimen ulasan pemain TFT di Playstore dengan maksud meningkatkan mutu permainan. Metode klasifikasi Random Forest diterapkan dalam penelitian ini untuk mengategorikan ulasan sebagai negatif, netral, atau positif. Hasil analisis menunjukkan bahwa metode Random Forest mampu memberikan hasil yang akurat dalam menilai sentimen ulasan pemain TFT. Dengan demikian, penelitian ini diharapkan dapat memberikan pemahaman yang lebih mendalam mengenai sentimen pemain serta wawasan berharga bagi pengembang untuk meningkatkan kualitas game TFT..
Perancangan Data Warehouse Umat Lingkungan Gereja XYZ Menggunakan Metode Star Schema Andreas Alessandro; Deo Anggoro; Andri Wijaya
Journal Of Informatics And Busisnes Vol. 1 No. 3 (2023): Oktober - Desember
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v1i3.462

Abstract

The implementation of data warehouse technology at the Catholic Church XYZ, covering multiple regions, has become a common necessity. The use of a data warehouse aims to manage parishioner data more efficiently through a structured data warehouse system. The organized data integration process is the main focus, enabling church administrators to process data quickly and accurately in accessing the required information. By emphasizing the modeling process, the use of the Star Schema as a dimensional model provides ease in understanding data structures, serving as a key source of information for decision-making, especially regarding territorial allocations. This data warehouse design serves as a comprehensive solution for managing integrated parishioner data, supporting various information needs and decision-making processes. In addition to streamlining processes, the implementation of the data warehouse enhances the church's capabilities in addressing the increasingly complex dynamics of the environment.
Perancangan Rencana Strategis Sistem Informasi Pada PT XYZ Leni Kusneti; Bima Aprianto S; Stenilaus A; Andri Wijaya
Journal Of Informatics And Busisnes Vol. 2 No. 3 (2024): Oktober - Desember
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v2i3.2007

Abstract

This study develops a strategic plan for Information Systems/Information Technology (IS/IT) at PT XYZ, a distribution company in the plastic packaging sector. The primary objective of the research is to enhance operational efficiency and expand market reach through the optimal utilization of information technology. The methodology employed includes SWOT analysis, PESTLE, and the McFarlan Grid to evaluate the company's internal and external conditions and define the IS/IT implementation strategy. The findings highlight the need for additional features in the Enterprise Business System (EBS) to record retail transactions, the implementation of an e-commerce platform to broaden market access, and the adoption of automation technology in logistics processes to boost productivity. Moreover, the study recommends developing a Customer Relationship Management (CRM) system to strengthen relationships with business partners. A systematically designed five-year implementation roadmap ensures that this strategy supports the company's digital transformation and enhances its performance in the global market.
Analisis Ulasan Produk Amazon Menggunakan Random Forest Sentimen dan Probabilistic Retrieval Model Septi Putri Azzahra; Afifah Azzahra; Yohanes Agung Apriyanto; Andri Wijaya
Journal Of Informatics And Busisnes Vol. 2 No. 4 (2025): Januari - Maret
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v2i4.2070

Abstract

In the digital era, product reviews on e-commerce platforms such as Amazon have become an important source of information for consumers and sellers. This study develops a system for sentiment analysis of reviews using the Random Forest algorithm and relevant information retrieval with a TF-IDF-based probabilistic model. The data used includes 568,454 product reviews from Amazon, which are processed through data cleaning, tokenization, lemmatization, and feature extraction stages. Sentiments are classified into positive, negative, and neutral. The Random Forest model shows reliable performance with precision, recall, and F1-score of 0.878. The probabilistic search system successfully sorts relevant reviews with a high level of accuracy, which is evaluated using the Mean Average Precision (MAP) metric of 0.878. The results of this study provide significant contributions to improving the e-commerce user experience and supporting data-driven decision making. The approach used opens up opportunities for further research in the fields of natural language processing and machine learning.
Implementasi dan Evaluasi Sistem Pencarian Informasi Ulasan Restoran India Menggunakan Algoritma VSM Ratu, Anggitta; Leni Kusneti; Thomas Filikano; Andronikus G; Andri Wijaya
Journal Of Informatics And Busisnes Vol. 2 No. 4 (2025): Januari - Maret
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v2i4.2128

Abstract

Online review platforms, such as restaurant search websites and apps, have become a primary source of information for consumers when choosing restaurants. The large number of reviews available provides insights into service quality, food taste, and previous customer experiences. However, the main challenge is managing and extracting relevant information from the diverse and unstructured reviews, which can make it difficult for users to find accurate and relevant information. This study implements an information retrieval system for Indian restaurant reviews using the Vector Space Model (VSM) algorithm to address this challenge. The dataset from Kaggle, containing 10,000 Indian restaurant reviews, was processed through tokenization, stopword removal, stemming, and text normalization. The TF-IDF method was applied for term weighting, and relevance between the user's query and reviews was calculated using VSM. The evaluation results showed a precision of 70.92%, recall of 84.81%, and F1-score of 77.25%, indicating that the system can provide relevant reviews accurately and efficiently. This system could serve as a reference for developing information retrieval systems in the culinary field and other sectors that require effective customer review analysis.
Co-Authors Aditiya Hermawan Aditya, Putra Adtiya, Setenilaus Afifah Azzahra Agustio Dwitama Aguswan, Michael Junius Alessandro, Andreas Alexander Chandra Alexius Hendra Gunawan Amat Basri Andreas Alessandro Andreas Alessandro Fernando Putra Andri Wijaya Andronikus G Anggoro, Deo Arif Aliyanto Arif Aliyanto Arif Aliyanto Arvin Lawistra Asek, Ambo Azahra, Khalida Zia Fitrah Azzahra, Afifah Azzahra, Violina Baiturrahman, Ridwan Benny Daniawan Bima Aprianto S Buchori Asyik cia, crecia Crecia Crecia Crecia, Crecia Damayanti, Lily Daniawan, Benny Deo anggoro Dwitama, Agustio Effendy, Ellena Endri Yuliati Enjeli, Margareta Erwin Erwin Filikano, Thomas Gunawan, Andronikus Halim, Ardie Hambali, M Syahbani IFAH KHADIJAH, IFAH Iskandar Mirza Iskandar Syah Jacqueline Henny P Jessen Laorenza Suwandi Julian Masidin, Nevin JUNAEDI Kevin kevin Kurniawan Maranto, Ardiane Rossi Kusneti, Leni Latius Hermawan Leni Kusneti Lily Damayanti Lusia Komala Widiastuti Maria Bellaniar Ismiati Masidin, Nevin Julian Meilinda Meilinda Meilinda Michael Junius Aguswan Muhammad Basri Muhammad Firdaus Mujiyanto Mujiyanto Mutia Maharani Nurhadi, M Wiran Jaya Pamungkas, Martinus Ponco Pratama, Paskalis Arindra Putra, Steven Adi Raditya Rimbawan Raditya Rimbawan O Ratu, Anggitta Rika Solihah, Rika Rosana Rosana Septi Putri Septi Putri Azzahra Simbolon, Defrianti Sri Andayani Sri Andayani Stenilaus A Sugiarti, Sabar Sumual, Imanuel Marcell Supriadi, Jonathan Suwitno Suwitno, Suwitno Thomas Filikano Verri Kuswanto Wiyono Yakub, Handoyo Yo Ceng Giap Yoel, Yoel Marcelino Pribadi Yohanes Agung Apriyanto Yusuf Kurnia