Article Per Year (5 Year)
p-Index From 2021 - 2026
1.779
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Akuntansi dan Humanika JAM : Jurnal Aplikasi Manajemen JURIKOM (Jurnal Riset Komputer) Jurnal Entrepreneur dan Entrepreneurship Budimas : Jurnal Pengabdian Masyarakat Journal of Trends Economics and Accounting Research Jurnal Informatika dan Rekayasa Komputer Jurnal Manajemen Teknologi dan Sistem Informasi Jurnal Ilmiah Manajemen dan Kewirausahaan Jurnal Pengabdian Masyarakat Unama
Effiyaldi
Unknown Affiliation
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Social Sciences Other

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
DISEMINASI KAJIAN FISKAL REGIONAL (KFR) SEBAGAI UPAYA PENINGKATAN LITERASI FISKAL DI PROVINSI JAMBI MELALUI KOLABORASI UNIVERSITAS DINAMIKA BANGSA DAN KANWIL DJPB PROVINSI JAMBI Yossinomita; Herry Mulyono; Setiawan Assegaff; Akwan Sunoto; Maria Rosario; Ahmad Hussaein; Effiyaldi; Roby Setiawan; Ayu Feranika; Laura Prasasti; Eddy Suratno; Johni Paul Karolus Pasaribu; Rista Aldilla Syafri; Hanan Laras Sabrina; Mardiana R.; Abdul Rahim; Andi Nurul Izzah; Putri Indri Fitria Ningrum; Tunas Agung Jiwa Brata; Asyep Syaefudin; Junaidi
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol. 7 No. 3 (2025): BUDIMAS : Jurnal Pengabdian Masyarakat
Publisher : LPPM ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/budimas.v7i3.19028

Abstract

This community service activity aims to enhance fiscal literacy and understanding of state financial policies among stakeholders, the academic community, and students in Jambi Province through the Dissemination of the Regional Fiscal Study (Kajian Fiskal Regional/KFR) for the Third Quarter of 2025. This activity represents the implementation of a collaborative partnership between Universitas Dinamika Bangsa (UNAMA) and the Regional Office of the Directorate General of Treasury (Kanwil DJPb) of Jambi Province in supporting the comprehensive and sustainable dissemination of fiscal policy information. The materials delivered included an overview of the fiscal performance of the State Budget (APBN) and the Regional Budget (APBD) of Jambi Province presented by the Head of the Regional Office of the Directorate General of Treasury of Jambi Province, as well as a thematic analysis of the Three Million Houses Program and the Housing Financing Liquidity Facility (Fasilitas Likuiditas Pembiayaan Perumahan/FLPP) policy in Jambi Province delivered by a Local Expert from the Regional Office of the Directorate General of Treasury of Jambi Province. The activity was conducted through presentations, interactive discussions, and question-and-answer sessions involving representatives from local governments, vertical agencies, financial authorities, academics, and stakeholders in the housing sector. The results indicate an improvement in participants’ understanding of regional fiscal conditions, the synergy between the APBN and APBD, and the implications of national housing policies for regional economic development. This activity is expected to strengthen cross-sectoral coordination and support evidence-based fiscal policymaking in Jambi Province.
Perbandingan Kinerja Algoritma C4.5 dan Naive Bayes Dalam Klasifikasi Data Penjualan Buku PT. XYZ Erfina Rianty; Kurnia Budi; Effiyaldi
JURNAL RISET KOMPUTER (JURIKOM) Vol. 12 No. 6 (2025): Desember 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i6.9345

Abstract

Book sales data is an important component in supporting marketing strategies and managerial decision-making. The objective of this research is to evaluate and compare the effectiveness of the C4.5 and Naive Bayes in processing book sales data at PT. Sonpedia Publishing Indonesia. The dataset used consists of 299 book sales records, processed using RapidMiner software with two validation methods, namely Split Data (80:20) and 10-fold cross validation. Experimental results reveal that the C4.5 algorithm with the split data method obtained an accuracy 88.33%, precision 94.29%, recall 86.84%, and F-Score 90.41%. Using 10-Fold Cross Validation, the performance decreased with an accuracy 86.60%, precision of 92.53%, recall 85.64%, and F-Score 88,99%. In contrast, the Naïve Bayes algorithm demonstrated better and consistent performance. With the Split Data method (80:20), it obtained an accuracy 90.00%, precision 90.00%, recall 94.74%, and an F-Score 92.31%. Furthermore, its performance improved with 10-Fold Cross Validation, achieving an accuracy 91.29%, precision 92.63%, recall 93.62%, and F1-Score of 93.10%. These findings suggest that naive bayes produces more consistent and accurate classification results compared to C4.5. The research is intended to act as a guide for the development of book sales prediction systems that support the effetiveness and efficiency of bussiness decision making.
Co-Authors Abdul Rahim Ahmad Hussaein Akwan Sunoto Andi Makkulawu Panyiwi Kessi Andi Nurul Izzah Angel Pricilia, Laras Asyep Syaefudin Balkis, NurbaitySyabina Nazwa Dio Andrianto Khispan Dodo Zaenal Abidin Dwi Retnoningsih Eddy Suratno Erfina Rianty Feranika, Ayu Gazali Hakim, Rachman HERRY MULYONO Irfan Hassandi Johni Paul Karolus Pasaribu Junaidi Junaidi Kadar, Melani Kurnia Budi Laras Sabrina, Hanan Laura Prasasti Lie, Kanaya Puspa Kirana MARDIANA Mardiana R. Maria Rosario Muhammad Haris Saputra Musi Andi, Aprisal NURHADI Pawar, Avinash Pipatrapa, Anirut Prasasti, Laura Putri Indri Fitria Ningrum Risal, Zef Rista Aldilla Syafri ROBY SETIAWAN Rosita Dewi Setiawan Assegaf Suratno, Eddy Syafril Tunas Agung Jiwa Brata Usmayanti, Vivi WAHYUDI Yemima Yossinomita Zainurrafiqi