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All Journal International Journal of Electrical and Computer Engineering Jurnal Pendidikan Sains Techno.Com: Jurnal Teknologi Informasi Teika JSI: Jurnal Sistem Informasi (E-Journal) DINAMIKA DOTCOM TEKNOLOGI INFORMASI Jurnal Informatika Sisforma: Journal of Information Systems ANDHARUPA Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Ilmiah KOMPUTASI Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Jurnal Eksplora Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING Petir QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT J-SAKTI (Jurnal Sains Komputer dan Informatika) Multitek Indonesia : Jurnal Ilmiah Jurnal Riset Informatika Jurnal Teknologi Terapan Antivirus : Jurnal Ilmiah Teknik Informatika Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Generation Journal Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Jurnal Abdimas Berdaya : Jurnal Pembelajaran, Pemberdayaan dan Pengabdian Masyarakat J-SAKTI (Jurnal Sains Komputer dan Informatika) International Conference on Industrial Revolution for Polytechnic Education Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Brilliance: Research of Artificial Intelligence MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Software Development Digital Business Intelligence and Computer Engineering Kohesi: Jurnal Sains dan Teknologi Jurnal Informatika Polinema (JIP) Pengabdian Pendidikan Indonesia (PPI) International Journal of English Language and Pedagogy Jurnal Pengabdian Kepada Masyarakat
Usman Nurhasan
Politeknik Negeri Malang
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Evaluasi Usabilitas Aplikasi DLU Ferry Pasca-Optimalisasi Menggunakan System Usability Scale (SUS) dan A/B Testing: Studi Kasus dengan Pendekatan Design Thinking Aimar, Fablo; Nur Rahmanto, Anugrah; Nurhasan, Usman
TeIKa Vol 15 No 2 (2025): Jurnal
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/09mavq33

Abstract

The DLU Ferry application has not fully met user expectations in terms of ease of understanding information on schedules, fares, and supporting features, and often experiences data synchronization issues that can undermine user confidence. This study aims to optimize the user interface of the DLU Ferry application to meet user needs for clear, accessible, and real-time information. The Design Thinking approach (Empathize, Define, Ideate, Prototyping, Testing) was chosen because it prioritizes user-centricity, facilitates a deep understanding of user needs and challenges, and enables the creation of sustainable and iterative solutions. Quantitative testing was conducted using the System Usability Scale (SUS) and A/B Testing. The final iteration of the SUS testing yielded an average score of 86, indicating the “Excellent” or “Best Imaginable” category in terms of usability, proving the success of the optimization efforts. However, there are areas for continuous improvement based on respondent feedback, including enhancing application performance and stability, refining the user interface, adding features, improving information quality and accessibility, and strengthening customer service and integration.
Hybrid project learning and peer teaching as learning strategies for learners with high activity Fakhris Khusnu Reza Mahfud; Zainal Abidin; Usman Nurhasan
Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Vol. 9 No. 2 (2024): May 2024
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/abdimas.v9i2.12261

Abstract

The mosque is the Muslim community's place of worship and education. Regular worship occurs according to a timetable. However, educational activities require quite a long time, so the mosque management schedules learning activities periodically. In addition, mosque congregations have a very high diversity and density of activities, especially mosque congregations in urban areas. The management of urban mosques has difficulty organizing learning consistently because the congregation has difficulty meeting at the same time periodically. This paper offers a solution by teaching with a hybrid learning method between project learning and peer teaching. Projects are created based on the needs of the environment and the congregation. The project development team is formed from worshipers who can work on projects. Other congregants receive knowledge through the project development team when the project is in the process of being created and run. This hybrid learning was experimented with by creating an aquaponics project. Aquaponics is operated with solar electricity. The project development team consists of a congregation of children to parents. The project has successfully transferred knowledge to the project development team members. The project operation attracts non-team worshippers to discuss independently with team members. Some non-team members have developed fish farming independently.
Clustering-Based Identification of Governance Risks in Campus Environments Sumiadji Sumiadji; Usman Nurhasan; Zainal Abdul Haris
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.7205

Abstract

The growing implementation of governance models in higher education institutions has raised new challenges in accountability and performance. Although risk management and analysis in governance has received some attention in the literature, there is a lack of studies focusing on the use data-driven clustering algorithms. The current research focuses on the development and assessment of a web-based risk management information system that incorporates clustering principles to identify and map non-academic governance risks. The study followed the CRISP-DM framework and analyzed 678 risks from the Internal Audit Unit (SPI) of Politeknik Negeri Malang. The system employs K-Means clustering analysis to classify the risks into tiers based on performance indicators, budget, and risk severity. The system is equipped with data upload, preprocessing, logging, and cluster visualization modules. A comparative analysis of K-Means, DBSCAN, and Hierarchical Clustering showed that K-Means yields the best cluster quality with a Silhouette Score of 0.48, in comparison to DBSCAN (-0.705) and Hierarchical clustering (-0.395) . The developed system generated five distinct clusters corresponding to risks of varying settlement priority viz. very high, high, medium, low, and very low. The functional and usability assessments of the system confirmed that it provides automated and actionable insights on risks in a user-centric manner. The study has demonstrated the clustering of governance risks in higher education using K-Means is feasible. The incorporation of predictive analytics and real-time data would best support the research in active risk avoidance.
PEMANFAATAN YOGURTSALESPRO SEBAGAI UPAYA PENINGKATAN TATA KELOLA PENJULAAN UMKM BARK FRUITY Retno Damayanti; Usman Nurhasan; Anugrah Nur Rahmanto
Jurnal Pengabdian kepada Masyarakat Vol. 12 No. 2 (2025): JURNAL PENGABDIAN KEPADA MASYARAKAT 2025
Publisher : P3M Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/abdimas.v12i2.8027

Abstract

In the digital era, the transformation of information systems has become a crucial element in enhancing the competitiveness of micro, small, and medium enterprises (MSMEs). This community service initiative focuses on the digitalization of sales operations at Yogurt Bark Fruity, a student-run culinary business offering healthy yogurt-based products. Previously, sales activities were conducted manually via WhatsApp and Instagram, which posed risks of recording errors and limited market reach. The proposed solution involves the development and implementation of the yogurtSalesPro application, based on the PPEPP method. This system is designed to integrate the management of transactions, inventory, customer data, and sales reporting. Evaluation using the System Usability Scale (SUS) resulted in a score of 71.5, indicating a good level of usability. Additionally, assessment through the Technology Acceptance Model (TAM) revealed high scores across all indicators, with Perceived Usefulness and Perceived Ease of Use each achieving 100% positive responses. The application’s effectiveness is reflected in improved recording efficiency, a reduction in transaction errors from 15% to 2%, and an increase in both daily transactions and new customers. Beyond operational efficiency, the application also supports digital literacy and student entrepreneurship. Thus, yogurtSalesPro proves to be an effective solution in fostering innovation and sustainability for technology-based MSMEs.
MOBILE MEDIA LITERATURE APPLICATION FOR IDENTIFICATION OF STUDENT'S READING INTEREST Nurhasan, Usman; Ristiani, Erninda; Baddrisshofa, Samsul Islam
Jurnal Riset Informatika Vol. 3 No. 4 (2021): September 2021 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (615.861 KB) | DOI: 10.34288/jri.v3i4.105

Abstract

The School Literacy Movement (GLS) aims to foster youth character through a culture of literacy (reading and writing). However, in the presence of the Covid-19 outbreak, Indonesian education needs to use online media to keep learning going. Many types of platforms are used for online learning media, but all of these media do not support school literacy activities, so school literacy activities do not run as usual. Based on these problems, a solution was created, namely an application that makes it easy for literacy activities to take place online. Students can access this application to do online literacy via a laptop or smartphone. This application makes it easier for teachers to monitor the course of online literacy programs. The results of this study are indicated by functional testing on all features obtaining a 100% valid percentage. Tests on users get an average percentage of more than 80%. The test results prove that this application can be accepted by students, teachers and admins at State High School 1 Geger Madiun to make literacy activities more effective and efficient.
Automated Synthesis Of Product Return Recommendations Via Groq And Large Language Models Dian Hanifudin Subhi; usman nurhasan; Ibnu Tsalis Assalam
MULTITEK INDONESIA Vol 20 No 1 (2026): July (On Progress)
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/mtkind.v20i1.13659

Abstract

Industrial economic resilience depends on the efficiency of after-sales service provisioning, which is often hindered by semantic ambiguity in customer reports and latency constraints of conventional computing infrastructures. This study examines the integration of a Language Processing Unit (LPU) with a Large Language Model (LLM) under a Deterministic Reasoning Architecture (DRA) framework to address these limitations. Experiments were conducted on a heterogeneous dataset (N = 27.500) consisting of operational service records from PT Rekaindo Global Jasa and a Southeast Asian manufacturing entity over the period 2021–2025. Semantic complexity analysis based on Shannon Entropy indicates that the Repair category exhibits the highest information density (5.2 bits), corresponding to an increased risk of logical failure. Performance benchmarking demonstrates that the proposed LPU-based architecture achieves deterministic inference with a Risk Priority Number (RPN) of 42 significantly lower than stochastic GPU-based baselines (RPN > 120). Predictive integrity evaluation yields an AUC–ROC of 0.988 and an inter-rater agreement of 0.81 (Fleiss Kappa), indicating substantial alignment between automated recommendations and expert assessments. Economic robustness is validated through Monte Carlo simulations, showing a 94.2 % probability of achieving Return on Investment within 20 months, even under high-volatility scenarios. Furthermore, the framework complies with ISO/IEC 42001:2023 and the EU AI Act, achieving a Fairness Ratio above 0.94. Overall, the results demonstrate that the LPU–LLM synergy enables fast, reliable, and responsible generative AI deployment in industrial settings.
Bahasa Inggris Usman Nurhasan; Dian Hanifudin Subhi; Anugrah Nur Rahmanto; Endah Septa Sintiya; Deddy Kusbianto Purwoko Aji
MULTITEK INDONESIA Vol 20 No 1 (2026): July (On Progress)
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/mtkind.v20i1.13681

Abstract

Automated evaluation of flowchart representations is essential for the facilitation of the acquisition of basic programming concepts. Nevertheless, traditional evaluation systems that rely exclusively on structural matching demonstrate some of their most fundamental limitations. The false negative misclassification rates of such systems are frequently high when students create visually distinct structures for algorithmic logic that are semantically equivalent. A hybrid assessment framework is introduced in this study to improve the reliability and efficacy of code evaluation in order to address this challenge. The model that has been proposed combines the probabilistic feature extraction capabilities of Graph Convolutional Networks (GCNs) with mathematical logic verification through symbolic execution of an SMT Solver. While the SMT Solver deterministically establishes functional equivalence, the GCN module adaptively manages graph topological variations. Use of a real-world dataset consisting of 3.600 flowcharts generated by novice students was implemented to assess the hybrid system's functionality. According to quantitative experimental results, the proposed framework obtained a peak F1 Score of 0.88, which is a substantial improvement over conventional Abstract Syntax Tree (AST) methods (F1 Score 0.75). Additionally, the 77.4% reduction in false negative rates was achieved by incorporating the SMT Solver in comparison to a pure GCN configuration. Finally, the semantic equivalence and structural divergence issues that arise during algorithm assessment are effectively resolved by this dual architectural integration. By implementing the proposed system, higher education institutions are equipped with a more dependable mechanism for reducing human error, thereby improving the impartiality, accuracy, and efficiency of the evaluation process.
Co-Authors Aflah Rahman Maulidiyah Aimar, Fablo Al Huda, Muhammad Iqbaluddin Alwy Abdullah Ananta, Ahmadi Yuli Andre Asmara, Rossa Anisa Dyah Fatmawati Anugrah Nur Rahmanto Anugrah Nur Rahmantyo Arief Prasetyo Arief Prasetyo Atiqah Nurul Asri Baddrisshofa, Samsul Islam Bagas Setya Dian Nugraha Banni Satria Andoko Betlian Fajrin Budi Harijanto, Budi Cahyana, Cahyana Cahyana, Yuanita Hendra Candra Bella Vista Deddy Kusbianto Purwoko Aji Defandy Fanny Abdillah Dian Hanifudin Subhi Didik Dwi Prasetya Dika Rizky Yunianto Efita Tria Wardani Eka Larasati Amalia Elly Setyo Astuti Embriani Dewi Lestari Endah Septa Sintiya Erfan Rohadi Faiz Ushbah Mubarok Fakhris Khusnu Reza Mahfud Fredo Vale Yuda Ughay Gilang Lazuardi Hakimah, Rafidah Putri Hartati, Kirana Hendra Pradibta Hilmy Setya Purnama Putra Ibnu Tsalis Assalam Imam Fahrur Rozi Indra Dharma Wijaya Indra Dharma Wijaya, Indra Dharma Kurnia, Alwan Ghozi Lazuardi, Gilang Lisuardi, Dina Lumintang, Galur Arasy Maulidiyah, Aflah Rahman Melani, Erlin Mita Kartina Sari Moch Hafiz Nasirrudin Moch Zawaruddin Abdullah Muhammad Dwi Aldi Rizaldi Muhammad Mujahid Muhammad Rizki Oktaviansyah Muhammad Shulhan Khairy Mula Agung Barata Mustika Mentari Nasirrudin, Moch Hafiz Ningtyas, Noviana Nugraha, Bagas Setya Dian Nur Rahmanto, Anugrah Nur Wijayaningrum, Vivi Nurindrasari, Diana Oktaviansyah, Muhammad Rizki Pamenang, Muhammad Unggul Pramana Yoga Pramana Yoga Saputra Pramudhita, Agung Nugroho Pratama Putra Marhendra Prihatmanda, Ryan Akbar Purnomo, Bagus Putra Prima Arhandi, Putra Prima Qori, Elsa Lusiana Rafandi, Hanif Naufal Rafidah Putri Hakimah Rahma Sabita, Almira Rahmanto, Anugrah Nur Rahmantyo, Anugrah Nur Rakhmat Arianto Retno Damayanti Retno Damayanti Retno Damayanti Soejoedono Riatma, Galih Putra Risa Juliadilla Ristiani, Erninda Rizaldi, Muhammad Dwi Aldi Rizky Alifian Rokhimatul Wakhidah Rosa Andrie Asmara Rozan, Naufal Rudy Ariyanto Rudy Ariyanto Ryan Akbar Prihatmanda Saputro, Halim Teguh Satrio Binusa Suryadi Sukmadewi, Ferina Sumiadji Suryadi, Satrio Binusa Suryani, Debhys Syaad Patmanthara Syalwa, Laduni Estu Tresna, Esa Luh Tresna, Tresna Triswidrananta, Odhitya Desta Ulfa, Farida Vivin Ayu Lestari Wardani, Efita Tria Wijanarko, Eko Setio Yoga, Pramana Zainal Abdul Haris Zainal Abidin