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All Journal ILKOM Jurnal Ilmiah JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Informatika Ekonomi Bisnis JSR : Jaringan Sistem Informasi Robotik Jurnal Ilmu Komputer Journal of Applied Data Sciences LOSARI: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian kepada Masyarakat Jurnal Komtekinfo Jurnal Testing dan Implementasi Sistem Informasi RECORD Journal of Loyality and Community Development
Zupri Henra Hartomi
Universitas Hang Tuah Pekanbaru
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Transportation Other

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PELATIHAN PENJUALAN KERAJINAN BATIK TULIS SLB NEGERI PEMBINA PEKANBARU BERBASIS WEBSITE Zupri Henra Hartomi; Abdi Muhaimin; Yulisman
J-ABDI: Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 12: Mei 2022
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jabdi.v1i12.2063

Abstract

Kegiatan pengabdian kepada masyarakat dalam bentuk pelatihan penjualan batik tulis menggunakan website kepada Sekolah Luar Biasa (SLB) Negeri Pembina Pekanbaru. Sasaran dalam kegiatan pengabdian Masyarakat ini adalah pihak sekolah, siswa dan alumni SLB Pembina Pekanbaru. Pelaksanaan pengabdian kepada masyarakat dilakukan dengan menawarkan sebuah sistem penjualan berbasis website yang dapat memudahkan pihak sekolah memasarkan produk dari hasil kerajinan siswa dimana sebelumnya pemasaaran hasil karya diperkenalkan pada saat acara-acara khusus, melakukan kerja sama pada toko-toko batik, serta mempromosikan langsung kepada tamu yang berkunjung kesekolah dan belum memanfaatkan teknologi berbasis Online. Manfaat dari kegiatan ini antara lain mempermudah pemasaran hasil kerajinan batik tulis yang dikerjakan oleh siswa dan alumni SLB, sementara hasil dari kegiatan ini dapat membantu pihak sekolah berpikir kreatif dan inovatif berlandaskan kewirausahaan untuk mengembangkankan potensi penyandang disabilitas sehingga mempunyai penghasilan dan menjadi manusia yang mandiri dan lebih baik.
PENERAPAN DATA MINING MENGGUNAKAN METODE CLUSTERING EVALUASI DATA PENJUALAN PT ASPACINDO KEDATON MOTOR: PENERAPAN DATA MINING MENGGUNAKAN METODE CLUSTERING EVALUASI DATA PENJUALAN PT ASPACINDO KEDATON MOTOR Hartomi, Zupri Henra; Sabna, Eka; Yulanda, Yulanda; Amartha, Mohd; sanjaya, Rifki
Jurnal Ilmu Komputer Vol 11 No 2 (2022): Jurnal Ilmu Komputer
Publisher : STMIK Hang Tuah Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33060/JIK/2022/Vol11.Iss2.275

Abstract

Perkembangan teknologi komunikasi dari waktu kewaktu dirasakan semakin pesat, salah satunya adalah dalam usaha penjualan. PT. Aspacindo Kedaton Motor Pekanbaru merupakan usaha yang bergerak dalam bidang Penjualan sepeda motor. Dalam hal ini penginputan penjualan hanya dijadikan sebagai laporan tanpa ada pengembangan data yang lebih lanjut untuk dijadikan sebuah pengetahuan. Oleh karena itu dibutuhkan Penegeloaan Data Mining dengan motode klustering untuk mengolah data transaksi penjualan, sehingga diproleht sebuah keputusan yang dapat digunakan untuk menganalisis data penjualan. Tujuan utama dari metode clustering adalah pengelompokan sejumlah data/obyek ke dalam cluster, dimana cluster tersebut akan berisi data yang sama dengan groupnya masing-masing. Manfaatnya mempermudah analisis data yang besar dan membantu memberikan informasi data penjualan. Hasil dari penelitian ini diperoleh perbandingan daerah mana menghasilkan banyak penjualan yaitu kluster 1 pada daerah Tenayan Raya, kluster 2 pada daerah Limapuluh. Dan kluster 3 pada daerah Payung sekaki. Dari pola yang di peroleh di harapkan dapat memberi pengetahuan untuk PT. Aspacindo Kedaton Motor Pekanbaru sebagai pendukung untuk mengambil kebijakan.
Aplikasi Pengolahan Data Kelahiran, Kematian, Datang dan Pindah Menggunakan Bahasa Pemrograman PHP Zalmadani, Hendro; Hartomi, Zupri Henra
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 2 (June 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i2.1175

Abstract

Padang Birik-Birik Village is one of the villages in North Pariaman District, Pariaman City. The process of recapitulating birth, death, arrival, and moving letters received at the Padang Birik-Birik Village Office has problems, namely the process of making a cover letter for birth certificates and death certificates as well as arrival and moving letters. For the cover letter for birth certificates, it is done by filling out form F-2.09, for the cover letter for death certificates, it is done by filling out form F-2.20, to make a cover letter for arrival, it is done by filling out form F-1.01, Furthermore, for and moving letters, it is also done by filling out form F-1.04 which is done by hand. Another problem is the difficulty of finding archives/files of population data in the filing cabinets that are piled up and so many, because the process of finding archives/data files is done conventionally, namely looking at documents one by one. In developing the system, the author uses the waterfall method where the data collection techniques used include observation and interviews. For the development method using a structured method with several tools and work techniques such as flowcharts, use cases and activity diagrams. The programming language used in designing and implementing the system is PHP and the database used is MySql. The results of the study obtained that with the existence of this Application information system can facilitate village staff for the Process of Filling Death Forms, Births, coming and moving can be done quickly and efficiently.
Integration of Machine Learning Models Random Forest and XGBoost for Credit Card Fraud Detection in a Python Flask-Based Application Herianto Heri; Zupri Henra Hartomi; Rian Ordila; Yuda Irawan
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.4821

Abstract

Credit card fraud is one of the major challenges in modern digital payment systems. The increasing volume of online transactions raises the potential for unauthorized use of cardholder data. This research aims to develop a robust and accurate fraud detection system by integrating two machine learning algorithms, Random Forest and XGBoost, both of which are known for their high performance in data classification. The research process begins with the collection and preprocessing of credit card transaction data, followed by model training using the selected algorithms. The model’s performance is evaluated using metrics such as accuracy, precision, recall, and F1-score. To enable real-time application, the model is implemented in a web-based system using the Python Flask framework, allowing direct integration into financial transaction environments. The need for adaptive systems that can respond to emerging fraud patterns serves as a key motivation for this study. By combining two complementary algorithms within a single web application platform, the system is expected to detect fraudulent activities quickly and accurately. The expected outcomes of this research include: (1) an optimized fraud detection model based on Random Forest and XGBoost, (2) a prototype web application developed with Python Flask for system implementation, and (3) a scientific publication describing the development and results of the proposed system. The targeted outputs are a publication in a nationally accredited journal (Sinta 4) and intellectual property registration. This research is expected to provide a significant contribution to preventing credit card fraud through the effective application of machine learning technologies
Co-Authors Abdi Muhaimin Agus Alamsyah Amartha, Mohd Anam, M Khairul Bambang Kurniawan Desy Arischa Eka Sabna Elisawati, Elisawati Hadi Asnal, Hadi Herianto Heri Herianto Herianto Julius Santony Kurniawan, Bambang Mitrin, Abdullah Mohd Rinaldi Amartha Muhaimin, Abdi Nurhadi renaldi, reno Rian Ordila Rometdo Muzawi Sabna, Eka sanjaya, Rifki Saputra, Haris Tri Yayang Sahira Yuda Irawan Yuhandri Yuhandri, Yuhandri Yulanda, Yulanda Yulisman, Yulisman Zalmadani, Hendro