Article Per Year (5 Year)
p-Index From 2021 - 2026
3.018
P-Index
This Author published in this journals
All Journal Media Statistika Ekonomi Bisnis Animal Production : Indonesian Journal of Animal Production Conference SENATIK STT Adisutjipto Yogyakarta Bisma: Jurnal Bisnis dan Manajemen Legal Standing : Jurnal Ilmu Hukum UPEJ Unnes Physics Education Journal Iqtishoduna: Jurnal Ekonomi Islam eBA Journal: Journal Economic, Bussines and Accounting Diklat Review : Jurnal manajemen pendidikan dan pelatihan Jurnal Pendidikan dan Teknologi Indonesia Jurnal Abdi Panca Marga ANGON: Journal of Animal Science and Technology Jurnal Kepariwisataan: Destinasi, Hospitalitas dan Perjalanan Tepak Sirih : Jurnal Pengabdian Kepada Masyarakat Madani Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) Jurnal Informatika Medis (J-INFORMED) IJENSET
Agus Priyono
Bagian Klinik Hewan, Fakultas Kedokteran Hewan, Universitas Udayana, Bali
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Nursing Physics Public Health Social Sciences Veterinary Other

Published : 23 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 23 Documents
Search

 1   2   3 
Pemberdayaan Ekonomi Kreatif Karnaval Melalui Pelatihan Value Chain Untuk Mendukung Keunggulan Kompetitif Sukarno, Hari; Khusna, Khanifatul; Muhsyi, Abdul; Subagio, N. Ari; Mirzania, Alif; Priyono, Agus; Fauziyyah, Salma
Abdi Panca Marga Vol 4 No 1 (2023): Jurnal Abdi Panca Marga Edisi Mei 2023
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) Universitas Panca Marga Probolinggo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/abdipancamarga.v4i1.1311

Abstract

The variety of MSMEs in Indonesia makes this country rich in innovative products, including fashion products and shows packaged in carnivals. One organization that carries this concept is the Jember Fashion Carnaval Foundation (JFC). During the 16 years of its journey, JFC has made various achievements both at the national and international levels. JFC, the image of the city of Jember, was made the City of International Carnival by the Minister of Tourism. To increase JFC's value and bargaining products necessary to conduct value chain training. The value chain describes the activities in and around the organization and links them to the company's competitive strengths. To achieve the expected understanding of the value chain, the training strategy used the Asset Based Community Development approach. The activities began with observations and interviews, FGDs, and dissemination of material to JFC managers and activists. JFC managers and activities attended this activity. The result of this activity is improving the strategy for the JFC Foundation's competitive advantage. It is helpful to improve JFC's achievements at the national and international levels.
Kedudukan Pengadilan Pajak dan Perbandingannya dengan Sengketa Tata Usaha Negara di Indonesia Jadidyah, Havida; Priyono, Agus
Legal Standing : Jurnal Ilmu Hukum Vol. 9 No. 4 (2025): Legal Standing
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/ls.v9i4.11726

Abstract

The Tax Court is a special judicial institution authorized to handle tax disputes in Indonesia. Its position is under the Supreme Court in terms of judicial technical guidance, but administratively, organizationally, and financially it is under the Ministry of Finance. This study aims to examine the position of the Tax Court in the Indonesian judicial system and to compare the mechanisms for resolving tax disputes with State Administrative (TUN) disputes. This study uses a normative legal method with a statutory regulatory approach and a conceptual approach. The results of the study indicate that the Tax Court is part of the state administrative court environment, but has specific procedures and authorities. The striking difference between tax disputes and TUN disputes lies in the resolution mechanism. Tax disputes are quasi-judicial in nature and require an objection procedure to the Director General of Taxes before they can be submitted to the Tax Court. In contrast, TUN disputes can be submitted directly to the State Administrative Court without going through the administrative objection stage. In addition, the decision of the Tax Court is final and binding, while the PTUN decision can still be pursued for further legal action. This difference reflects the characteristics of each dispute, and emphasizes the strategic position of the Tax Court in providing justice and legal certainty for taxpayers. This study is expected to contribute to strengthening the understanding of academics, legal practitioners, and the public regarding effective and targeted tax dispute resolution mechanisms.
A Data-Driven Machine Learning for Predicting Student Stress Levels Purwati, Neni; Priyono, Agus; Rizky Al'insani, Adam; Darmawan
Indonesian Journal of Engineering, Science and Technology Vol. 2 No. 2 (2025): VOL. 02 NO. 02 (DECEMBER 2025)
Publisher : Universitas Muhammadiyah Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38040/ijenset.v2i2.1380

Abstract

Academic stress significantly impacts students' psychological well-being and academic performance. This study focuses on predicting students' stress levels using a data-driven machine learning framework. The dataset was obtained from a questionnaire comprising 25 indicators encompassing emotional, psychological, academic, and environmental aspects of students. The research procedure involved data preprocessing, checking for missing values and redundancy, normalization, descriptive statistical analysis, model development, and performance evaluation using metrics such as recall, precision, sensitivity, specificity, F-measure, and accuracy. The implemented algorithm achieved excellent results, with an overall accuracy of 0.98. The model demonstrated high effectiveness in classifying Eustress and Distress, while its performance in detecting the No Stress category was limited, although precision and specificity indicate a strong capacity to differentiate between classes. These findings confirm that a machine learning approach can effectively capture patterns of student stress based on questionnaire responses and offers valuable guidance for developing early warning systems and targeted psychological intervention strategies. The study highlights the potential of data-driven predictive methods in supporting students' mental health through empirical data analysis. Keywords - LibSVM; Machine Learning; Predicting; Stress Levels; Tree Ensemble.
Co-Authors Abdul Muhsyi aditya permana putra Aditya, Dedy Yusuf Afif Nur Faozi Agustinah Setyaningrum, Agustinah Alif Mirzania Alvinsyah, Dwi Putra Bakar, Abdoel Bambang Susanto Darmawan Destiana, Rea Dewi Prihatini Dian Ekowati Didit Budi Nugroho Gagal Rencana, Feri Susilo Hari Sukarno Hermin Purwaningsih Hidayah, Septina Alfiani Hilmansyah, Muhammad Al Faquri Arief Indra Indra Isa Akhlis Jadidyah, Havida Khanifatul Khusna Krismiwati Muatip Kusmayadi, Kusmayadi Lucie Setiana Mahardiyanto, Agus Marni Astuti, Marni Mochamad Sugiarto Moehammad Fathorrazi Muhammad Nuskhi Muhammad Shodiq, Muhammad Munir, Akhmad N. Ari Subagio Neni Purwati Novi Puspitasari Pambudi Yuwono Pusalia, Retno Ramadhan, Divan Janatra Ramanda, Febri Rizky Al'insani, Adam Rosita, Andriani Salma Fauziyyah Satrio, Aldilla Jalu Shaleh, Moh Socheh, Mochamad Subagio, Ari Subagio, N Ari Suparman Uyuunul Mauidzoh Wahyu Hardyanto Yovitantri, Maricia Yoyo Yoyo Zainuri