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All Journal snimed Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Proceedings of KNASTIK Semantik Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik JSI: Jurnal Sistem Informasi (E-Journal) Jurnal SOLMA Jurnal Ilmiah Matrik JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Progresif: Jurnal Ilmiah Komputer Zonasi: Jurnal Sistem Informasi Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Sistem Informasi dan Sains Teknologi MEANS (Media Informasi Analisa dan Sistem) Jurnal Teknimedia: Teknologi Informasi dan Multimedia CITIZEN: Jurnal Ilmiah Mulitidisiplin Indonesia Jurnal Abdimas Musi Charitas Jurnal Sistem Informasi JSITP JSITIK: Jurnal Sistem Informasi dan Teknologi Informasi Komputer Jurnal Ilmiah Sistem Informasi MDP Student Conference Jurnal Sistem Informasi Journal Of Informatics And Busisnes Jurnal TEFSIN ( Jurnal Teknik Informatika dan Sistem Informasi) Scientica: Jurnal Ilmiah Sains dan Teknologi Jurnal Ilmiah Computer Science Masterpiece: Journal of Islamic Studies and Social Sciences Journal of Technology and System Information Jurnal Riset Teknik Komputer Jurnal Sains Sistem Informasi Jurnal Riset Sistem Informasi Jurnal Sistem Informasi, Manajemen dan Teknologi Informasi Jurnal Sains dan Teknologi Jurnal Ilmu Komputer dan Informatika Jurnal Riset Multidisiplin Edukasi Sinergi : Jurnal Ilmiah Multidisiplin INTECH - Informatika Dan Teknologi
Andri Wijaya
Universitas Katolik Musi Charitas
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Implementasi Data Warehouse Skema Snowflake untuk Analisis Determinan Kompetensi Siswa Sutikno, Samuel Dimas; Imanuel, Michael; Wijaya, Andri
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.v3i4.3960

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.
Analisis Sentimen Berita terhadap Harga Saham BBCA Menggunakan Naive Bayes Imanuel, Michael; Sutikno, Samuel Dimas; Wijaya, Andri
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.v3i4.3970

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.
Implementasi Data Warehouse Pada Toko KC Boutique Crecia Crecia; Michael Junius Aguswan; Andri Wijaya
INTECH Vol. 4 No. 2 (2023): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v4i2.2275

Abstract

Clothing needs are the main thing that must be met. One of them is KC Boutique. This shop sells various women's clothing and is located in West Jakarta. The aim of this research is to create a Data Warehouse because the KC boutique shop still uses the Excel application to input data. This makes it difficult for owners to combine all the data they have. Therefore ETL is the solution to this problem. Where ETL will integrate all databases in a Data Warehouse which, if connected the data will also continue to be automatically updated. Data collection methods are observation and interviews. The method used is the OLAP method with the process namely ETL. The tool used is SQL Server Management Studio. The result of this research is the design of a Data Warehouse that is connected to the KC Boutique store database so that the data is well integrated.
Perancangan Data Warehouse Umat Lingkungan Gereja XYZ Menggunakan Metode Star Schema Deo Anggoro; Andreas Alessandro; Andri Wijaya
Jurnal TEFSIN ( Jurnal Teknik Informatika dan Sistem Informasi) Vol. 1 No. 2 (2023): November 2023
Publisher : Fakultas Teknik Universitas Nahdlatul Ulama Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.
MODEL TERBARUKAN HYBIRD CNN DAN LEXICON-BASED UNTUK MENDETEKSI SENTIMEN PUBLIK TERHADAP DANANTARA Andri Wijaya; Thomas Filikano
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 7 No. 1 (2026): June 2026
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v7i1.357

Abstract

Danantara is a sovereign wealth fund that has received widespread attention on social media, including on "X." Various public opinions about Danantara have emerged, both positive and negative. To understand public perception more accurately, an effective sentiment analysis method is needed. Lexicon-Based methods are often used but have limitations in capturing context, while Convolutional Neural Networks (CNNs) are able to recognize patterns in text but require a lot of data. Therefore, this study aims to develop a hybrid CNN and Lexicon-based model to improve the accuracy of public sentiment analysis towards Danantara. Data will be collected from social media "X" using scraping or API methods, then go through a preprocessing process before being analyzed using a hybrid approach. Model evaluation is carried out by comparing the performance of CNN, Lexicon-based, and hybrid models using metrics such as accuracy, precision, recall, and F1-Score. The results of this study provide a more accurate model in understanding public opinion and provide insights for policymakers in designing more effective communication strategies with an accuracy rate of 86%. In addition, researchers will also contribute to the development of Natural Language Processing (NLP) and deep learning-based sentiment analysis.
Implementasi Data Warehouse Industri Film Menggunakan PostgreSQL Stefanus Charles Selvianto, Stefanus Charles Selvianto; Septia Angelika Gettin daely, Septia Angelika Gettin daely; Andri Wijaya, Andri Wijaya
Jurnal Sistem Informasi dan Teknologi Peradaban Vol. 6 No. 2 (2025): jurnal Sistem Informasi dan Teknologi Peradaban
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Peradaban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58436/jsitp.v6i2.2492

Abstract

Penelitian ini bertujuan untuk mengimplementasikan sebuah Data Warehouse film dengan memanfaatkan PostgreSQL sebagai sistem basis data utama. Data film diambil dari Kaggle dan berisi informasi seperti judul, sutradara, negara, tahun rilis, kategori, hingga durasi tayangan. Proses pengolahan data dilakukan melalui tahapan ETL, mulai dari extract data mentah, transform untuk membersihkan duplikasi, menangani nilai kosong, memperbaiki format tanggal, hingga menata ulang data agar lebih konsisten, lalu load ke dalam struktur Data Warehouse. Desain penyimpanan menggunakan model star schema yang terdiri dari tabel fakta dan beberapa tabel dimensi agar proses analisis berjalan lebih mudah dan terarah. Pada tahap analisis, konsep OLAP juga digunakan untuk menelusuri data secara multidimensi melalui proses seperti drill-down, roll-up, slice, dan dice. Hasil penelitian menunjukkan bahwa PostgreSQL tidak hanya efektif sebagai database penyimpanan, tetapi juga mampu mendukung analisis data dengan baik. Data Warehouse yang dibangun menjadi lebih rapi, terstruktur, dan siap digunakan untuk kebutuhan analisis di bidang film dan hiburan.
Pembobotan Sentimen Publik Menggunakan TF-IDF pada Console dan Video Game Offline Crecia, Crecia; Wijaya, Andri; Maharani, Mutia; Aguswan, Michael Junius
Jurnal Sistem Informasi dan Teknologi Peradaban Vol. 5 No. 2 (2024)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Peradaban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58436/jsitp.v5i2.2062

Abstract

Penelitian ini mengkaji penerapan metode Term Frequency-Inverse Document Frequency (TF-IDF) untuk membobotkan sentimen publik terhadap video game offline, dengan dukungan Vector Space Model (VSM). Video game offline tetap populer karena pengalaman imersif, cerita mendalam, serta fleksibilitas modifikasi di berbagai platform seperti PC, mobile, dan konsol, meskipun tren game online terus meningkat. Data penelitian diperoleh dari Kaggle, mencakup 11.001 entri dengan 17 atribut, termasuk judul, rating pengguna, dan genre. Proses penelitian melibatkan pengumpulan, pembersihan, dan pengolahan data. Game "Hades" ditemukan sebagai game dengan rating tertinggi, sedangkan genre "Party" dan "Fighting" paling diminati. PlayStation tercatat sebagai platform terpopuler dengan 67.798 pengguna dan 2.269 game. Analisis lanjutan menggunakan TF-IDF menunjukkan kata-kata seperti "bugs" dan "amazing" memiliki bobot tinggi dalam ulasan tertentu. Dengan VSM, relevansi dokumen terhadap kueri dianalisis melalui kesamaan kosinus dan jarak Euclidean. Evaluasi sistem menunjukkan kinerja yang sangat baik dengan precision 80%, recall 100%, F1-measure 88,9%, dan MAP 95%. Penelitian ini memberikan wawasan tentang preferensi pemain game offline dan menawarkan metode yang efektif untuk analisis sentimen publik terhadap video game, memberikan kontribusi berharga bagi industri gaming.
Co-Authors Aditya, Putra Adtiya, Setenilaus Afifah Azzahra Agnes Felicia Lubis Agustin, Evelyn Agustio Dwitama Aguswan, Michael Junius Alessandro, Andreas Alfonso Sitompul Andreas Alessandro Andreas Alessandro Fernando Putra Andronikus G Anggoro, Deo Ardi Riyadi Ardika, Petra Putri Arif Aliyanto Arif Aliyanto Arif Aliyanto Arif Aliyanto Arif Aliyanto Arron Mosses Jhon Hadi Ayu Elisya Natama Sianturi Azzahra, Afifah Azzahra, Violina Bima Aprianto S Br Hombing, Nova Magdalena Branchris Buchori Asyik Chintia Cantika Christy, Hanna Crecia Crecia Crecia Crecia Crecia, Crecia Daely, Septia Angelika Gettin Damayanti, Lily Daniawan, Benny Deo anggoro Dwitama, Agustio Effendy, Ellena Enjeli, Margareta Erwin erwin Erwin Erwin Filikano, Thomas Gunawan, Andronikus Hans Rafael Gabriel Turnip Imanuel, Michael Iskandar Syah Jacqueline Henny P Johan Abisay Tambunan Jonathan Supriadi Julian Masidin, Nevin Juni Lapita Hasugian Kevin Alexander Yech Kevin kevin Kusneti, Leni Latius Hermawan Leni Kusneti Maharani, Wianti Marcello, Daniel Maria Bellaniar Ismiati Martinus Ponco Pamungkas Masidin, Nevin Julian Mayer Dani Sitompul Meilinda Meilinda Meilinda Michael Junius Aguswan Michael Junius Aguswan Muhamad Raka Nur Habibi Muhammad Basri Muhammad Raka Nur Habibi Mutia Maharani Nababan, Clara Nova Magdalena Br Hombing Novaldi, Alexander Oktarina, Theresia P. Arindra Pratama Pamungkas, Martinus Ponco Pratama, Paskalis Arindra Putra, Steven Adi Ratu, Anggitta Riski Surya Saputra Rosana Rosana Sanjaya, Aloisius Egi Seli Septi Putri Septi Putri Azzahra Septia Angelika Gettin daely, Septia Angelika Gettin daely Setenilaus Aditya Setiawan, Ferdy Shevchenko, Angelus Galang Silaban, Bintang Jelita Nasrani Simanjuntak, Welmi Simbolon, Defrianti Simbolon, Defrianti Sri Andayani Sri Andayani Stefanus Agung Sagita Stefanus Charles Selvianto, Stefanus Charles Selvianto Stenilaus A Sugiarti, Sabar Sumual, Imanuel Marcell Supriadi, Jonathan Sutikno, Samuel Dimas Theresia Anita Thomas Filikano Thomas Filikano Turnip, Hans Rafael Gabriel VF Anindya W Wayan Pondra Lesmana Welmi Simanjuntak Wiikananda, Ketut Agus Wikananda, Ketut Agus Yakub, Handoyo Yohanes Agung Apriyanto Zalukhu, Indri Feni Asih