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All Journal ARABIYAT Scientific Journal of Informatics Sistemasi: Jurnal Sistem Informasi Jurnal CoreIT Seminar Nasional Teknologi Informasi Komunikasi dan Industri INOVTEK Polbeng - Seri Informatika Jurnal Informatika Universitas Pamulang Building of Informatics, Technology and Science Zonasi: Jurnal Sistem Informasi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Computer Science and Information Technology (CoSciTech) Knowbase : International Journal of Knowledge in Database Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Komtika (Komputasi dan Informatika)
Nazir, Alwis
UIN Sultan Syarif Kasim Riau
Aerospace Engineering Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

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Journal : Jurnal CoreIT

 1 
Implementasi Algoritma FP-Growth untuk Menemukan Pola Keterkaitan Antara Matakuliah Pemrograman dan Matakuliah Matematika Putri. P, Zurneli Kurnia; Iskandar, Iwan; Nazir, Alwis
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 7, No 2 (2021): Desember 2021
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (423.192 KB) | DOI: 10.24014/coreit.v7i2.15351

Abstract

The specification of programming skills is one of the focuses of learning in the Informatics Engineering study program which requires students to understand and get good grades in all courses related to programming. The subject that is considered to have a relationship with the programming field is the Mathematics course. Efforts to determine the correlation between programming courses and mathematics courses through one of the association algorithms in data mining, namely the FP-Growth algorithm. FP-Growth was chosen because it has a faster data pattern execution rate than the a priori algorithm. The final stage of KDD produces 1227 data which is then processed using the FPGrowth algorithm. Tests with a minimum support value of 0.5 and minimum confidence of 0.7 show the same number of patterns between applications built with the SPMF application of 52250 patterns. The highest support value of 51% and the highest confidence value of 98% and the highest lift ratio value of 1.1941 in the combination of itemset patterns indicate that if students pass programming courses, then mathematics courses can also pass or vice versa.
Data Warehouse Design For Sales Transactions on CV. Sumber Tirta Anugerah Syaputra, Muhammad Dwiky; Nazir, Alwis; Gusti, Siska Kurnia; Sanjaya, Suwanto; Syafria, Fadhilah
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 8, No 2 (2022): December 2022
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (644.133 KB) | DOI: 10.24014/coreit.v8i2.19800

Abstract

Many data warehouses are implemented in companies engaged in retail, CV. Sumber Tirta Anugerah is one of the paint product retail companies that has not implemented it yet. As time goes by, the sales transaction data is getting more and more difficult to process because it is still stored in Microsoft Excel. This is a serious problem in utilizing historical data to assist in making a decision. It is difficult to store sales data because the data is quite large and a lot. Based on the above problems, a data warehouse design is needed for sales transaction data. This data warehouse design uses Kimball's nine-steps method and star schema. To perform the ETL process (extract, transform, and load) using Pentaho software. In this data warehouse design, Tableau software is used to visualize the processed data into a graph and dashboard report. The result of this research is a data warehouse design using nine steps and a star schema which gets a transformation response time of 4048 MS. 
Data Mining for Analyzing Consumer Segmentation: Identifying Consumer Preference Patterns Using the Fuzzy C-Means Clustering on Halal Products Iskandar (Scopus ID: 55316114000), Iwan; Nazir, Alwis
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 11, No 2 (2025): December 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/coreit.v11i2.38608

Abstract

Halal products are increasingly popular worldwide, not only in Muslim-majority countries but also in non-Muslim nations.  The global halal market exceeds USD 650 million annually, emphasizing the importance of halal certification, particularly in Indonesia as the world’s largest Muslim-majority country. This research aims to cluster consumers of halal meat products by analyzing factors influencing consumer behavior in purchasing certified halal beef and chicken. The study employs the Fuzzy C-Means (FCM) clustering algorithm on 176 respondents’ questionnaire data consisting of 36 parameters. The experiment was performed using Google Colab with a maximum of 1000 iterations, error tolerance of 0.0001, and fuzziness coefficient m = 2.4. Results show that two optimal clusters were formed, with a Partition Coefficient Index (PCI) value of 0.9993, indicating excellent clustering quality. The first cluster consists primarily of young consumers aged 15–24 with lower spending, while the second cluster includes adults aged 35–54 with higher income. Both groups prioritize halal certification and logo visibility when choosing meat products. The findings provide insights for halal product retailers and policymakers to enhance halal product distribution, certification support, and marketing strategies in Indonesia.
Co-Authors .Safrizal, Safrizal Abdul Wahid Adzhima, Fauzan Afriyanti, Iis Afriyanti, Liza Agnesti, Syafira Akbar, Lionita Asa Akhyar, Amany Ananda, Rahmadan Alam Ardan Baehaqi Berliana, Trisia Intan Cahyadi, Wahyu Dinata, Ferdian Arya Eka Pandu Cynthia Elin Haerani Elvia Budianita Fadhilah Syafria Fauzan Adzim Fitri Insani Fitria Novitasari Gusti, Siska Kurnia Habibi, M. Ilham Hamwar, Syahbudin Hasibuan, Aldiansyah Pramudia Iis Afrianty Iskandar (Scopus ID: 55316114000), Iwan Isra Almahsa, Muhammad Iwan Iskandar Jasril Jasril Mahyudin Ritonga Muhammad Abdillah Muhammad Fikry Muhammad Irsyad Mulyati, Sabar Mulyono, Makmur Najmi, Risna Lailatun Nurfadilah, Nova Siska Oktavia, Lola Pizaini Pizaini Putri. P, Zurneli Kurnia Rahmadhani, R. Ramadhan, Muhammad Ilham Reni Susanti Sri Wahyuni Surya Agustian Suwanto Sanjaya Syafria, Fadhillah Syaputra, Muhammad Dwiky Wiranti, Lusi Diah Yusra Yusra, - Yusra, Yusra