Article Per Year (5 Year)
p-Index From 2021 - 2026
3.655
P-Index
This Author published in this journals
All Journal Conference In Business, Accounting And Management (Cbam) 2012 Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Jurnal DISPROTEK JURNAL TEKNOLOGI INFORMASI Jurnal Teknologi Informasi dan Pendidikan Journal of Information Systems and Informatics bit-Tech International Journal of Marine Engineering Innovation and Research Jurnal Sistem Komputer dan Informatika (JSON) Muria Jurnal Layanan Masyarakat Jurnal Ekonomi dan Bisnis Digital (MINISTAL) Indonesian Journal of Business Analytics (IJBA) Bhakti Nagori (Jurnal Pengabdian kepada Masyarakat) Formosa Journal of Science and Technology (FJST) Formosa Journal of Applied Sciences (FJAS) Borobudur Management Review Journal of Finance and Business Digital (JFBD) Abdi Cendekia: Jurnal Pengabdian Masyarakat GEMBIRA (Pengabdian Kepada Masyarakat) INOVTEK Polbeng - Seri Informatika Jurnal Ekonomi, Manajemen, Bisnis dan Akuntansi Review ALKHIDMAH: Jurnal Pengabdian dan Kemitraan Masyarakat
Supriyono
Univeritas Muria Kudus
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences 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 Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 28 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 28 Documents
Search

 1   2   3 
Explainable XGBoost Early-Warning Framework for Academic Stress-Based Student Mental Health Risk Mapping Supriyono; Heru Noviyanto Firmansyah; Soni Adiyono
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 4 (2026): August 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i4.7812

Abstract

Existing university mental health monitoring often depends on voluntary help-seeking or manual questionnaire interpretation, which may delay early support for students experiencing academic stress. This study proposes an explainable XGBoost-based early-warning framework for non-clinical mapping of student mental health risk from academic stress indicators. The single-site dataset comprised 1,002 anonymized student records from Universitas Muria Kudus. K-Means clustering was used to transform DASS-21 depression, anxiety, and stress scores into low, moderate-, and high-risk categories, while XGBoost predicted the cluster-derived labels using seven single-item academic stress indicators and engineered aggregate and interaction features. On a stratified hold-out testing set of 201 records, the model achieved weighted precision, recall, and F1-score values of 0.8907, 0.8905, and 0.8906, respectively, with class-level F1-scores of 0.9109 for low risk, 0.8900 for moderate risk, and 0.8713 for high risk. Additional ablation, clustering sensitivity, subgroup, threshold, and SHAP stability analyses were conducted to strengthen robustness and interpretability. The findings show that cumulative academic stress and interaction features involving parental expectations, exam anxiety, and learning-method adaptation were consistently influential predictors. The framework is intended to support early institutional prioritization and counseling referral, not clinical diagnosis. Generalization remains limited by the single-institution sample and the use of single-item academic stress indicators; therefore, local retraining and recalibration are required before institutional deployment, including implementation of the Streamlit prototype.
SISTEM INFORMASI PENGELOLAAN DATA KELOMPOK PESERTA BPU BERBASIS WEB PADA BPJS KETENAGAKERJAAN KUDUS Durrotun Nafisah; Supriyono
BHAKTI NAGORI (Jurnal Pengabdian kepada Masyarakat) Vol. 6 No. 1 (2026): BHAKTI NAGORI (Jurnal Pengabdian kepada Masyarakat) Juni 2026
Publisher : LPPM UNIKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/bhakti_nagori.v6i1.5691

Abstract

BPJS Ketenagakerjaan Cabang Kudus menghadapi tantangan dalam pengelolaan data kelompok peserta Bukan Penerima Upah (BPU) yang masih dilakukan secara manual dan semi-digital. Kondisi ini menyebabkan keterlambatan proses, kesalahan pencatatan, serta kesulitan dalam monitoring dan pelaporan data. Kegiatan Praktik Kerja Lapangan (PKL) ini bertujuan merancang dan mengembangkan sistem informasi pengelolaan data kelompok peserta BPU berbasis web menggunakan framework Laravel dan database MySQL dengan metode pengembangan System Development Life Cycle (SDLC) model waterfall. Sistem yang dikembangkan mencakup fitur pengelolaan data kelompok, pendaftaran anggota secara kolektif, perhitungan iuran otomatis, generate kode bayar kolektif, serta pelaporan terintegrasi. Metode pelaksanaan menggunakan pendekatan partisipatif, dimulai dari identifikasi kebutuhan hingga implementasi sistem dan pelatihan teknis. Hasil kegiatan menunjukkan bahwa pegawai BPJS dan Ketua Kelompok mampu mengoperasikan sistem secara mandiri, proses pengelolaan data menjadi lebih efisien dan akurat, serta potensi kesalahan pencatatan berkurang secara signifikan. Studi ini sejalan dengan temuan sebelumnya yang menekankan bahwa penerapan sistem informasi berbasis web berdampak signifikan terhadap efisiensi operasional instansi publik.
Digitalisasi Pendaftaran Layanan Eazy Passport Berbasis Web pada Kantor Imigrasi Kelas I Non TPI Pati Adinda Bintang Oktavia; Supriyono
ALKHIDMAH: Jurnal Pengabdian dan Kemitraan Masyarakat Vol. 4 No. 1 (2026): Jurnal Pengabdian dan Kemitraan Masyarakat (ALKHIDMAH)
Publisher : LP3M INSTITUT KH YAZID KARIMULLAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59246/alkhidmah.v4i1.1796

Abstract

Immigration public services require digital innovation to improve efficiency, accuracy, and service transparency. The Eazy Passport service at the Class I Non-TPI Immigration Office of Pati has been managed through a manual registration process using formal letters, resulting in administrative inefficiencies, data entry errors, and difficulties in service scheduling. This community service activity aims to design and implement an integrated web-based registration and scheduling system for the Eazy Passport service. The implementation stages included needs analysis, system design, web application development, and system testing. The results show that the developed system simplifies the registration process for applicants, reduces administrative workload for immigration officers, improves data organization, and supports more structured and transparent service scheduling. The system provides a practical digital solution that contributes to enhancing the quality and efficiency of immigration public services.
Peningkatan Kapasitas Industri Rumah Tangga melalui Edukasi Praktik Akuntansi Biaya dan Manajemen Keuangan pada Usaha Tempe dan Keripik Tempe Susana Himawati; Kertati Sumekar; Supriyono; Noor Indah Rahmawati; Agung Subono
Muria Jurnal Layanan Masyarakat Vol. 8 No. 1 (2026): Maret 2026
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/mjlm.v8i1.16675

Abstract

This article aims to provide practical education on basic cost accounting and financial management for tempeh home industries in Winong and Langse Villages, Pati Regency. The methodology includes SWOT surveys, production cost recording exercises, and basic financial management training using simple report simulations to establish organized accounting habits. Results indicate an improvement in participants' ability to calculate production costs accurately to determine a reasonable Cost of Goods Sold (COGS). Furthermore, participants have begun separating business and household finances while maintaining simple records of cash flow, assets, liabilities, and profit. Conclusions, limitations, and suggestions are also discussed.
Implementation Of The Naïve Bayes Method For Skincare Product Recommendations According To Skin Type At Dermakila Clinic Afilda Maharani; Supriyono; Zainur Romadhon
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 11 No. 3 (2026): August
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/krks4h07

Abstract

Advances in information technology have encouraged the implementation of recommendation systems in various fields, including beauty and skincare. Selecting skincare products that are not suitable for an individual's skin type and condition may reduce treatment effectiveness and potentially lead to skin problems. Dermakila Clinic offers a wide range of skincare products with diverse characteristics, creating a need for a system that can assist users in selecting products that best suit their skin needs. This study aims to implement the Naïve Bayes method in developing a skincare product recommendation system based on user characteristics, including age range, gender, skin type, and skin concerns. The research applies a data mining approach using the Naïve Bayes classification algorithm. The dataset consists of 960 skincare product records that have undergone preprocessing and data transformation stages. The system was developed as a web-based application to provide users with fast and accurate product recommendations. The experimental results demonstrate that the Naïve Bayes method achieved an accuracy of 88%, with a precision of 89%, a recall of 88%, and an F1-score of 88%. These findings indicate that the Naïve Bayes method is effective for implementing a skincare product recommendation system at Dermakila Clinic.
LOCATION-TAG-BASED DECISION SUPPORT SYSTEM FOR WI-FI ACCESS POINT UPGRADES USING THE SAW METHOD Bryan Noviantara; Supriyono; Diana Laily Fithri
Jurnal Disprotek Vol. 17 N0. 2 (2026)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v172.9900

Abstract

Wi-Fi service quality is an important factor in supporting operations and customer satisfaction at internet service providers. CV Piyuen Net still faces obstacles in determining access points that need to be upgraded because the evaluation process is done manually. This study aims to build a Decision Support System (DSS) to determine access point upgrade priorities using the Simple Additive Weighting (SAW) method. The criteria used include Wi-Fi Signal Strength, Number of Active Users, Bandwidth Usage, Signal Interference Level, Access Point Age, and Network Connection Quality. The system was developed using the Extreme Programming (XP) method and utilizes location tags to facilitate access point identification. The Black Box testing results showed that all system functions ran as required with a 100% success rate, while the SAW method was able to generate objective access point upgrade priority recommendations based on the obtained preference values. Thus, the system can help improve the effectiveness of decision-making and the quality of network services at CV Piyuen Net.
A Web-Based Spatial Decision Support System For Stunting Risk Prediction Using Random Forest and STBM Data Septia Oviyanti; Supriyono; Diana Laily Fithri
Journal of Information System and Informatics Vol 8 No 4 (2026): August
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i4.1807

Abstract

Stunting mitigation requires precise interventions, yet local health centers frequently face fragmented data. This study develops a preliminary WebGIS-based decision-support prototype for stunting risk prediction to facilitate targeted resource allocation. Utilizing the CRISP-DM methodology, we implemented a direct cross-region model deployment. A Random Forest classifier, trained on a feature-complete perinatal dataset (n = 78) from a source village, was deployed to a target domain integrating 83 toddler records and 10,113 household-level STBM environmental records in Ngawen District. The model achieved an overall accuracy of 81.93% and a weighted F1-score of 0.817. Class-specific F1-scores reached 0.906 (Normal), 0.744 (Mild), 0.757 (Moderate), and 0.818 (Severe). Feature importance analysis identified Birth Weight, Birth Length, and the aggregated village-level STBM score as primary predictors. Furthermore, spatial analysis revealed predicted high-risk clusters in Sarimulyo (5.58%) and Gondang (5.15%), demonstrating an inverse relationship between sanitation coverage and stunting severity. However, these spatial findings are based on model predictions and aggregated indicators rather than confirmed causal relationships. Due to the limited sample size and the prototype's untested status with end-users, broader external validation, clinical verification, and formal usability testing are essential before operational deployment.
Residual-Based Hybrid ARIMA–Prophet for Medium Rice Price Forecasting in Kudus City Aulia Nurhaliza; Supriyono; Diana Laily Fithri
Journal of Information System and Informatics Vol 8 No 4 (2026): August
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i4.1874

Abstract

Rice prices as a primary food commodity in Indonesia often fluctuate, affecting food-price stability and public welfare. This study analyzes and forecasts Medium I and Medium II rice prices in Kudus City using ARIMA, Prophet, Hybrid ARIMA–Prophet, Random Forest, and benchmark models. Daily PIHPS price data from 2021–2025 were divided chronologically into 781 training observations from 2021–2023 and 523 testing observations from 2024–2025. Model performance was evaluated using MAE, RMSE, MAPE, R², and directional metrics. Hybrid ARIMA–Prophet achieved MAE of Rp369.68 and MAPE of 2.62% for Medium I, and MAE of Rp467.31 and MAPE of 3.38% for Medium II. However, simpler benchmark models achieved lower price-level errors than the hybrid model. Random Forest showed higher directional Accuracy than Hybrid ARIMA–Prophet, but its low Precision and F1-Score indicate that Accuracy should be interpreted cautiously. The directional analysis also showed a highly imbalanced distribution, with unchanged movements accounting for approximately 94% of test observations. The Diebold–Mariano test, applied only to the regression forecast errors of Hybrid ARIMA–Prophet and Random Forest, showed significant differences for both Medium I and Medium II (p < 0.001). Overall, the findings indicate that more complex models do not necessarily outperform simpler benchmarks for the studied rice-price series.
Co-Authors Abdul Azis Al Baehaqi Adinda Bintang Oktavia Afilda Maharani Ag Sunarno Agung Subono Agus Sunarno Alfina Chintya Bella Arif Maulana Rokhman Aulia Nurhaliza Bryan Noviantara Dian Wismar’ein Diana Laily Fithri Diana Laily Fithri Diana Laily Fithri Dika El Baradei Dimas Imam Santosa Durrotun Nafisah Eko Darmanto Farid Ardiyanto - Fariz Dwiki Dermawan fiki Marzuqi Heru Noviyanto Firmansyah Hisyam Akmal Maulana Hutomo Rusdianto Intan Sari Isdiyanto Koesworo Kertati Sumekar M.Bagus Hesananta Marlina Oktaviani Mira Meilia Marka Mochamad Edris Moh Fahrurrozi Muhammad Arifin Nilatul Fitriyah - Noor Indah Rahmawati Noor Latifah Nugroho Prihantoro R Rhoedy Setiawan Rinto Agus Sudarmono Romadhon, Zainur Septia Oviyanti Soni Adiyono Sunarno Susana Himawati Sutono Windraningsih yefilina_gulo_id yefilina Yuningtyas Kartikawati