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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Sains dan Teknologi Techno.Com: Jurnal Teknologi Informasi EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Telematika : Jurnal Informatika dan Teknologi Informasi Jurnas Nasional Teknologi dan Sistem Informasi Jurnal Ilmiah KOMPUTASI Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF APPLIED INFORMATICS AND COMPUTING SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) EDUMATIC: Jurnal Pendidikan Informatika Jurnal SITECH : Sistem Informasi dan Teknologi Journal of Information Systems and Informatics Jurnal Aisyah : Jurnal Ilmu Kesehatan Abdimasku : Jurnal Pengabdian Masyarakat International Journal of Marine Engineering Innovation and Research Idealis : Indonesia Journal Information System Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Komunita: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Pengabdian Masyarakat Inovasi Indonesia
Soni Adiyono
Universitas Muria Kudus
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Cyberbullying on Multicultural Education a Coastal Community Perspective: Systematic literature review Nanik Susanti; Soni Adiyono; Zainur Romadhon
International Journal of Marine Engineering Innovation and Research Vol. 9 No. 1 (2024)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v9i1.5053

Abstract

This research explores the pervasive issue of cyberbullying, primarily targeting children and teenagers due to their close proximity to communication technologies. Cyberbullying manifests through various forms such as flaming, harassment, and identity impersonation, causing significant psychological and academic impacts on victims. The study, based on a selection of 30 Scopus publications, reveals that cyberstalking holds the highest classification at 90%, followed by flaming at 73%. The consequences of cyberbullying are classified into social (67%), psychological (63%), and academic (57%) impacts. The research emphasizes the need for specific knowledge about cyberbullying in coastal communities, where victims experience feelings of insecurity, isolation, and reduced academic concentration. The conclusion highlights the importance of raising awareness, implementing literacy programs, and enforcing regulations to combat cyberbullying, especially in the context of the Fourth Industrial Revolution. The findings provide valuable insights into the coastal community's perception of cyberbullying, urging parents to play an active role in safeguarding their children and promoting digital literacy.
Smart Aquaculture under Digital Transformation: AHP Approach for Optimizing Vannamei Shrimp Farming in Central Java Soni Adiyono; Diana Laily Fithri; Supriyono; Muhammad Arifin
International Journal of Marine Engineering Innovation and Research Vol. 10 No. 3 (2025)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i3

Abstract

The transformation of aquaculture through digital technologies has become increasingly essential to enhance sustainability, efficiency, and competitiveness in shrimp farming. Despite its importance, the challenge of determining which regions should be prioritized for digital adoption remains unresolved, particularly in contexts with diverse production and economic conditions. This study introduces the Analytical Hierarchy Process (AHP) as a multi-criteria decision-making tool to evaluate and prioritize coastal districts in Central Java, Indonesia, for smart aquaculture development in Litopenaeus vannamei farming. AHP integrates indicators of production potential, economic feasibility, and price competitiveness into a unified ranking framework, producing clear differentiation across districts. The results highlight Cilacap, Kendal, Brebes, Purworejo, and Rembang as priority areas for early adoption of digital innovations such as IoT-based monitoring, AI-driven disease prediction, and traceability platforms. This research contributes to the operationalization of the AHP algorithm for aquaculture decision-making, contextualization of the global digital transformation framework in the Indonesian shrimp sector, and demonstrates the robustness of multi-criteria prioritization for policy planning. Although the precision of the results may be limited by the scope of the available data, the study confirms the significant role of AHP in guiding evidence-based, scalable, and adaptive strategies for advancing smart aquaculture.
Predictive Health Monitoring of a Marine Propulsion Plant Using Multi-Output Random Forest Regression Soni Adiyono; Taufiq Hidayat
International Journal of Marine Engineering Innovation and Research Vol. 11 No. 1 (2026)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v11i1

Abstract

The reliability of naval propulsion systems is closely related to the degradation of critical gas turbine components, particularly the compressor and turbine. This study proposes a machine-learning-based predictive health monitoring framework for a naval propulsion plant using the Naval Propulsion Plant dataset. The framework was developed from 11,934 observations, 14 operational variables, and 2 degradation targets, namely the compressor decay state coefficient and turbine decay state coefficient. A multi-output Random Forest regressor with 500 trees was employed to simultaneously predict both degradation indicators. The methodology included data preprocessing, exploratory data analysis, model development, performance evaluation, feature importance analysis, and health index formulation. The model achieved an MAE of 0.1899, RMSE of 0.2992, and R² of -0.0484 for the compressor decay state coefficient, while the turbine decay state coefficient achieved an MAE of 0.1604, RMSE of 0.2667, and R² of 0.1814. To improve practical interpretability, the predicted degradation outputs were transformed into a health index and classified into GREEN, YELLOW, and RED conditions. The results showed that 2,387 testing observations were classified as GREEN. The novelty of this study lies in integrating multi-output degradation prediction, feature-based interpretability, and health-index-based condition classification within a single predictive maintenance framework for naval propulsion systems.
AI and Digital Transformation Trends: A Systematic Review with Multi-Criteria Analysis Soni Adiyono; Muhammad Arifin
Journal of Information System and Informatics Vol 8 No 1 (2026): February
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i1.1462

Abstract

This research investigates the integration of Artificial Intelligence (AI) and Digital Transformation (DT) as critical enablers of Industry 4.0, highlighting their combined influence in reshaping industrial processes and enhancing operational efficiency. AI technologies, including machine learning, natural language processing, and computer vision, are driving advancements in automation, real-time decision-making, and personalized services across various industries, such as manufacturing, healthcare, and logistics. DT involves the widespread adoption of digital technologies that transform business models, stakeholder interactions, and organizational structures, working synergistically with AI to foster innovation. While existing literature often examines AI and DT in isolation, this study addresses the gap by employing a Systematic Literature Review (SLR) and Multi-Criteria Analysis (MCA) methodology to evaluate research based on academic impact, practical relevance, and sectoral readiness. The analysis reveals emerging trends such as predictive analytics, autonomous systems, and smart manufacturing, with industries like healthcare and retail showing strong adoption, while real estate and legal services remain underexplored. The research examines 46,936 Scopus records and selects 32 studies for analysis. The MCA results underscore the importance of aligning academic research with industrial needs and fostering cross-sector collaboration. Ultimately, this study bridges the gap between theory and practice, offering valuable insights for policymakers, scholars, and practitioners to strengthen competitive advantage in the digital era.
Sequential Requirements Prediction in Synthetic Fintech-Like Backlogs Using an Interpretable Hybrid of Transition Rules and Transformer Models Diana Laily Fithri; Soni Adiyono; Muhammad Arifin
Journal of Information System and Informatics Vol 8 No 2 (2026): April
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i2.1469

Abstract

Fintech software development is characterized by rapid product iteration and stringent regulatory requirements, resulting in changing requirements as an interrelated set rather than individual elements. In this research, Sequential Requirements Prediction is proposed as a decision support task in Requirements Engineering, where the time-ordered prefix of completed backlog items is used to predict the next likely canonical requirement type as Top-k ranked output. To mitigate noise and inconsistency in backlog data, an LLM-aided semantic normalization step maps diverse requirement descriptions to a closed set of fintech requirement types. The research compares an interpretable rule-based Markov-1 predictor with Transformer-based sequential predictors under a case-level time-aware split. The proposed method is evaluated on a synthetic fintech-like backlog dataset consisting of 900 cases, 5,252 events, and 18 canonical requirement types. The best-performing model, Transformer + normalization + augmentation (M4), achieved Recall@5 = 0.638889, MRR@5 = 0.536806, and NDCG@5 = 0.566667. These results surpassed the rule-based predictor and non-normalized Transformer model. In addition, augmentation further improved Recall@5 from 0.493056 to 0.527778 in the rare-type subset. These findings suggest the methodological promise of the proposed framework for sequence-aware and compliance-conscious backlog analytics in synthetic fintech-like settings.
Clustering High School Students’ Career Interests Using K-Means with Multi-Metric Validation latifah, noor; fatia, imelda annas; adiyono, soni
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 20, No 2 (2026): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.117507

Abstract

Understanding students' career interests is essential for supporting effective career guidance programs in schools. However, identifying patterns of career interest among students is often challenging due to the diversity of motivational, cognitive, and planning-related factors. This study aims to analyze the segmentation of high school students' career interests using clustering techniques based on questionnaire data. This study uses the K-means algorithm run in conjunction with the Elbow Method to find the most appropriatenumber of clusters. The data preparation stages included cleaning the data, performing normalization using the Min-Max scaling method, and reducing the number of variables using principal component analysis (PCA) to facilitate visualization and initial analysis. In addition, cluster validity was evaluated using several internal validation indices, namely the silhouette score, Davies-Bouldin Index, and Calinski-Harabasz Index. The experimental results show that the data can be grouped into three clusters representing different levels of career interest characteristics among students. The identified clusters reveal variations in motivation, career planning clarity, and expectations for future careers. These findings provide useful insights for school counselors in designing targeted career guidance strategies.
Implementasi Sistem Informasi Retur Barang Rusak Berbasis Web di PT Telkom Akses Kudus Damar Aji Gurowo; Soni Adiyono
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 9, No 2 (2026): MEI 2026
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v9i2.3303

Abstract

Kegiatan pengabdian ini dilaksanakan di PT Telkom Akses Kudus untuk mengatasi pengelolaan retur barang rusak yang masih dilakukan secara manual melalui Microsoft Excel dan aplikasi pesan instan. Kondisi tersebut menyebabkan pencatatan berulang, potensi kesalahan input nomor serial, duplikasi data, serta kesulitan dalam pelacakan status barang dan penyusunan laporan. Oleh karena itu, topik ini penting karena berkaitan langsung dengan efisiensi kerja admin gudang dan ketepatan pengelolaan data retur perangkat rusak. Metode pelaksanaan menggunakan model Waterfall yang meliputi analisis kebutuhan, perancangan sistem, implementasi, pengujian sistem, dan pemeliharaan. Hasil kegiatan menunjukkan bahwa sistem informasi retur barang rusak berbasis web yang dibangun mampu mendukung proses login, registrasi teknisi, input data barang rusak, verifikasi serial number, pengelolaan status barang, serta monitoring melalui dashboard. Penerapan sistem mempermudah pencatatan, pencarian data, pelacakan riwayat, rekapitulasi, dan penyusunan laporan. Evaluasi pengguna juga menunjukkan respons sangat positif, sehingga dapat disimpulkan bahwa sistem ini efektif membantu pengelolaan retur barang rusak secara lebih terintegrasi, tertib, dan efisien.
Optimalisasi kinerja host tiktok melalui pengembangan sistem monitoring live streaming dan rekap konten berbasis web di PT. Aqualux Yita Abadi Lu'lu'il Laili; Soni Adiyono
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 10, No 2 (2026): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v10i2.38935

Abstract

Abstrak      PT Aqualux Yita Abadi, perusahaan yang memanfaatkan platform TikTok untuk pemasaran produk, menghadapi kendala dalam mengevaluasi kinerja host secara objektif akibat proses rekap konten dan monitoring live streaming yang masih dilakukan secara manual menggunakan catatan kertas. Metode ini menyebabkan ketidakakuratan data, tidak adanya dokumentasi terpusat, serta keterlambatan evaluasi kinerja. Kegiatan pengabdian masyarakat ini bertujuan untuk mengembangkan dan mengimplementasikan Sistem Monitoring Live Streaming dan Rekap Konten untuk Evaluasi Kinerja Host TikTok Berbasis Web bagi PT Aqualux Yita Abadi. Mitra sasaran kegiatan ini adalah PT Aqualux Yita Abadi yang melibatkan 9 orang host live streaming, 1 staf HRD, dan 1 Manajer Operasional sebagai peserta kegiatan, berlokasi di Jalan Lingkar Selatan Kec. Mejobo, Kabupaten Kudus. Metode pelaksanaan meliputi analisis kebutuhan sistem, perancangan sistem, pengembangan sistem menggunakan framework Laravel dengan arsitektur MVC, uji coba sistem (testing), evaluasi sistem, serta implementasi dan pelatihan. Hasil kegiatan menunjukkan bahwa sistem berhasil dikembangkan dengan fitur autentikasi berbasis role, dashboard monitoring real-time, fitur validasi data, serta laporan kinerja yang dapat diekspor dalam format Excel. Implementasi sistem meningkatkan efisiensi waktu rekap data dari berhari-hari menjadi hitungan menit, menghilangkan potensi kesalahan pencatatan manual, serta menyediakan dokumentasi terpusat yang memudahkan verifikasi bukti live streaming. Keberhasilan kegiatan ini ditinjau dari kemampuan sistem dalam membantu pengelolaan monitoring live streaming secara lebih terstruktur dan objektif. Kata kunci: sistem monitoring; live streaming; evaluasi kinerja; laravel; pengabdian masyarakat. Abstract      PT Aqualux Yita Abadi, a company utilizing the TikTok platform for product marketing, faces challenges in objectively evaluating host performance due to the manual process of content recapitulation and live streaming monitoring using paper records. This method leads to data inaccuracies, lack of centralized documentation, and delays in performance evaluation. This community service activity aims to develop and implement a Web-Based Live Streaming Monitoring and Content Recapitulation System for Evaluating TikTok Host Performance for PT Aqualux Yita Abadi. The target partner of this activity is PT Aqualux Yita Abadi, involving 9 live streaming hosts, 1 HR staff member, and 1 operational manager as participant, located at Jalan Lingkar Selatan, Mejobo District, Kudus Regency. The implementation methods include system requirements analysis, system design, system development using the Laravel framework with MVC architecture, system testing, system evaluation, as well as implementation and training. The results show that the system has been successfully developed with role-based authentication features, real-time monitoring dashboards, data validation features, and performance reports that can be exported to Excel format. The system implementation improves data recapitulation time efficiency from days to minutes, eliminates the potential for manual recording errors, and provides centralized documentation that facilitates verification of live streaming evidence. The success of this activity is measured by the system's ability to assist in managing live streaming monitoring in a more structured and objective manner. Keywords: monitoring system; live streaming; performance evaluation; laravel; community service
Digitalisasi pengelolaan disposisi surat melalui implementasi SIMDIS berbasis web pada inspektorat Kabupaten Kudus Nanda Dea Anggi Maharani; Soni Adiyono
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 10, No 3 (2026): June
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v10i3.39582

Abstract

Abstrak      Inspektorat Kabupaten Kudus sebagai lembaga pengawasan pemerintah daerah masih melakukan pencatatan disposisi surat masuk secara manual menggunakan Microsoft Word sehingga menyebabkan kesulitan dalam pencarian data, ketiadaan rekap statistik, dan risiko kehilangan data. Kegiatan ini melibatkan dua pengguna inti sistem, yaitu Sekretaris dan Kepala Inspektorat sebagai mitra utama pengabdian. Dipilih karena keduanya merupakan aktor utama yang terlibat langsung dalam alur pengelolaan disposisi surat di Inspektorat Kabupaten Kudus. Kegiatan pengabdian ini bertujuan untuk merancang dan membangun Sistem Informasi Manajemen Disposisi Surat (SIMDIS) berbasis web menggunakan metode Waterfall dengan teknologi Laravel 12 dan basis data MySQL. Hasil evaluasi menunjukkan peningkatan signifikan pada semua aspek yang diukur melalui perbandingan kondisi sebelum dan sesudah implementasi menggunakan kuesioner skala Likert, di mana waktu pencarian data yang diukur berdasarkan estimasi pengguna berkurang dari 7,5 menit menjadi kurang dari 1 menit, ketersediaan rekap statistik meningkat dari 0% menjadi 100%, dan tingkat kepuasan pengguna mencapai rata-rata 4,57 dari skala 5. Kata kunci: sistem informasi; disposisi surat; laravel; berbasis web; inspektorat. Abstract The Kudus Regency Inspectorate, as a local government oversight agency, still manually records the disposition of incoming correspondence using Microsoft Word, which leads to difficulties in retrieving data, a lack of statistical summaries, and the risk of data loss. This project involves two key system users the Secretary and the Head of the Inspectorate as the primary partners in this community service initiative. They were selected because both are key actors directly involved in the workflow of letter disposition management at the Kudus Regency Inspectorate. This community service project aims to design and develop a web-based Letter Disposition Management Information System (SIMDIS) using the Waterfall method with Laravel 12 technology and a MySQL database. Evaluation results showed significant improvements in all measured aspects through a comparison of conditions before and after implementation using a Likert-scale questionnaire, where the time required for data retrieval as estimated by users decreased from 7.5 minutes to less than 1 minute, the availability of statistical summaries increased from 0% to 100%, and user satisfaction reached an average of 4.57 on a 5-point scale. Keywords: information system; letter disposition; laravel; web-based; inspectorate.
IMPLEMENTASI METODE FP-GROWTH DALAM ANALISA POLA PEMBELIAN PELANGGAN PADA SWALAYAN PANTES PATI BERBASIS WEB: IMPLEMENTATION OF THE FP-GROWTH METHOD IN WEB-BASED ANALYSIS OF CUSTOMER PURCHASE PATTERNS AT PANTES PATI SUPERMARKET Salum Ainayya Alfatikhah; Supriyono Supriyono; Soni Adiyono
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.7401

Abstract

Swalayan Pantes, located in Pati Regency, is a retail store that provides daily necessities. However, its current data processing still relies on manual management through Microsoft Excel, which is less efficient for conducting sales analysis. This study aims to develop a web-based purchasing pattern analysis system by employing the Frequent Pattern Growth (FP-Growth) method. The methodological stages include determining support values, constructing the FP-Tree, generating the conditional pattern base, building the conditional FP-Tree, identifying frequent itemsets, and calculating confidence values. Based on 1,725 transaction records collected between January 2025 and July 2025, the study identified 13 items most frequently purchased together, with a confidence threshold of 60% and a minimum support value of 5. The FP-Growth method was subsequently implemented into a web-based system, complemented with additional features such as “Pindah” (Move) and “Promo” (Promotion), to facilitate decision-making and follow-up actions derived from the analysis results.
Co-Authors - Supriyono Abdul Azis Al Baehaqi Adi Wibowo Alamul Huda, Alamul Alversia, Yeshika Amanda Diyas Setiyoadi Anita Rahmawati Anteng Widodo Aris Puji Widodo Arya Putra Badruzzaman Bagus Joko Winarso Damar Aji Gurowo Dewi Masitoh Diana Laily Fithri Diana Laily Fithri Diana Laily Fithri Diyas Aditya Adi Saputra Eko Darmanto Eko Darmanto Eko Sediyono fatia, imelda annas Febriana Permatasari Fina Fakhriyah Hadiprawoto, Triana Rahajeng Hawari, Syafrie Muhammad Heru Noviyanto Firmansyah Hidayat, Hilmi Bayu Ira Iriyanty Iriyanty, Ira Kurniasari, Nita Kurniawan, Aldhi Ari Laily Fithri, Diana Latifah, Noor Lu'lu'il Laili Mochammad Imron Awalludin Muhammad Arifin Nanda Dea Anggi Maharani Nava Azahra Noor Latifah Nur Mahardika Pratiwi Cahyaningtiyas Pratomo Setiaji Prayogo, Adhie R Rhoedy Setiawan R. Rhoedy Setiawan Rahmat Gernowo Rizky Adisaputra Romadhon, Zainur Romadhon, Zainur Romy Aziz Risaldi Salum Ainayya Alfatikhah Sendi Novianto Sendi Novianto Setyawan, Moh Dodi Sholichatunnita Nita Siti Masfuah Supriyono Supriyono Supriyono Susanti, Nanik Syafiul Muzid Syafrie Muhammad Hawari Taufiq Hidayat Triana Rahajeng Hadiprawoto Yeshika Alversia Yudie Irawan