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All Journal Jurnal Ilmiah Akuntansi dan Humanika JAM : Jurnal Aplikasi Manajemen JRB-Jurnal Riset Bisnis JURIKOM (Jurnal Riset Komputer) Jurnal Entrepreneur dan Entrepreneurship (JEE) 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
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Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Social Sciences Other

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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.
PELATIHAN MANAJEMEN PENYIMPANAN DIGITAL DAN KEAMANAN DATA DIGITAL DI SMAN 12 KOTA JAMBI Naibaho, Ronald; Effiyaldi; Suratno, Eddy; Pasaribu, Jhon Paul Carollus; Mardiana.R
Jurnal Pengabdian Masyarakat UNAMA Vol 4 No 2 (2025): JPMU Volume 4 Nomor 2 Oktober 2025
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jpmu.2025.4.2.2583

Abstract

Transformasi digital menuntut lembaga pendidikan untuk mengoptimalkan teknologi dalam pengelolaan administrasi dan data. SMA Negeri 12 Kota Jambi mengalami kendala dalam hal literasi digital, infrastruktur, dan pemahaman keamanan data, sehingga berisiko terhadap kehilangan dan kebocoran data. Kegiatan ini sendiri bertujuan untuk meningkatkan pemahaman dan keterampilan guru及staf dalam mengelola data digital menggunakan penyimpanan cloud serta meningkatkan kesadaran akan pentingnya keamanan data. Dalam pelaksanakan kegiatan PKM ini Metode pelaksanaan terdiri dari tiga sesi: (1) Pemaparan materi konsep manajemen dan keamanan data, (2) Berdasarkan terlibat. Data dikumpulkan melalui kuesioner pra dan pasca pelatihan, kerdasarkan hasil kuesioner pra-pelatihan menunjukkan 85,71% peserta belum pernah mendapat pelatihan serupa, 60% pernah kehilangan data penting, dan hanya 14,3% yang sangat memahami prinsip keamanan data. Hasil pasca-pelatihan menunjukkan peningkatan signifikan: 88% peserta memahami perbedaan penyimpanan cloud dan lokal, 95% mampu menggunakan platform cloud, dan 100% memahami pentingnya backup dan keamanan data. Pelatihan ini berhasil meningkatkan literasi digital, keterampilan teknis, dan kesadaran akan keamanan data bagi guru dan staf. Diperlukan pelatihan berkelanjutan dan pengembangan infrastruktur server terpusat di sekolah untuk sustainability hasil kegiatan.
Analisis Perbandingan Kinerja Naive Bayes Dan C4.5 Untuk Deteksi Penyakit Ginjal Gultom, Rayma Yemima; Kurniabudi; Effiyaldi
Jurnal Manajemen Teknologi Dan Sistem Informasi (JMS) Vol 6 No 1 (2026): JMS Vol 6 No 1 MARET 2026
Publisher : LPPM STIKOM Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jms.2026.6.1.2603

Abstract

Penyakit Ginjal Kronis (PGK) adalah masalah kesehatan di seluruh dunia dengan peningkatan jumlah penderita yang stabil, termasuk di Indonesia. Identifikasi tepat waktu diabetes melitus gestasional (DMG) sangat penting untuk mengurangi risiko komplikasi dan kematian, namun penilaian manual seringkali membutuhkan waktu dan sumber daya yang cukup besar. Perkembangan teknologi machine learning memungkinkan proses diagnosis lebih cepat dan akurat. Penelitian ini bertujuan membandingkan kinerja algoritma Naïve Bayes dan C4.5 dalam mendeteksi penyakit ginjal menggunakan dataset Chronic Kidney Disease (CKD) yang diperoleh dari platform Kaggle. Dataset terdiri dari 400 data pasien dengan 34 atribut medis, seperti tekanan darah, kadar kreatinin, albumin urin, dan parameter laboratorium lainnya. Metode penelitian meliputi pembersihan data, seleksi atribut, transformasi data, pembagian data menjadi 80% data latih dan 20% data uji, serta penerapan kedua algoritma menggunakan perangkat lunak WEKA. Evaluasi kinerja dilakukan dengan matrik akurasi, precision, recall, F1-score, dan AUC-ROC. Hasil pengujian menunjukkan bahwa pada pembagian data 80:20, algoritma Naïve Bayes memperoleh akurasi 83,13%, precision 84,05%, recall 97,68%, F1-score 90,36%, dan AUC-ROC 59,50%. Sementara itu, algoritma C4.5 (J48) mencapai akurasi lebih tinggi yaitu 87,50%, precision 85,93%, recall 98,45%, F1-score 91,74%, dan AUC-ROC 63,20%.
FINANCIAL LITERACY, BEHAVIORAL INTENTION, AND THE ADOPTION OF MOBILE BANKING USAGE IN JAMBI CITY R, Mardiana; Hasandi, Irfan; G Pangestu, Mira; Effiyaldi; Nuraini, Intan
Jurnal Riset Bisnis Vol. 9 No. 2 (2026): April
Publisher : Fakultas Ekonomi dan Bisnis Universitas Pancasila Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/y09svw52

Abstract

This study investigated factors that influence the behavioral intention to use mobile banking among users in Jambi City. This study used a quantitative research design and the data were gathered from 392 participants through a structured questionnaire. The analysis, conducted using multiple linear regression, confirmed that performance expectancy, effort expectancy, social influence, facilitating conditions, and financial literacy each have a significant positive impact on the behavioral intention to use mobile banking, both individually and collectively. Research findings show that the adoption of mobile banking is a complex process influenced by a blend of perceived utility, ease of use, social factors, technological support, and the user's financial knowledge. This study contributes to the existing collection of literature on digital financial service adoption by emphasizing the need for financial institutions to develop comprehensive strategies that address both the technological and educational aspects of mobile banking to encourage wider use
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 G Pangestu, Mira Gazali Gultom, Rayma Yemima Hakim, Rachman Hasandi, Irfan HERRY MULYONO Intan Nuraini Irfan Hassandi Johni Paul Karolus Pasaribu Junaidi Junaidi Kadar, Melani Kurnia Budi Kurniabudi Laras Sabrina, Hanan Laura Prasasti Lie, Kanaya Puspa Kirana MARDIANA Mardiana R. Mardiana.R Maria Rosario Muhammad Haris Saputra Musi Andi, Aprisal NAIBAHO, RONALD NURHADI Pasaribu, Jhon Paul Carollus Pawar, Avinash Pipatrapa, Anirut Prasasti, Laura Putri Indri Fitria Ningrum R, Mardiana Risal, Zef Rista Aldilla Syafri ROBY SETIAWAN Rosita Dewi Setiawan Assegaf Suratno, Eddy Syafril Tunas Agung Jiwa Brata Usmayanti, Vivi WAHYUDI Yemima Yossinomita Zainurrafiqi