Article Per Year (5 Year)
p-Index From 2021 - 2026
1.066
P-Index
This Author published in this journals
All Journal Jurnal INKOM Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Digital Transformation Technology (Digitech) Bulletin of Network Engineer and Informatics (BUFNETS) Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika Curricula: Journal of Curriculum Development
Muhamad Nursalman
Universitas Pendidikan Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Library & Information Science

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 7 Documents
Search

 1 
Perancangan Sistem Informasi Risiko Pasar untuk Bank Muhamad Nursalman
INKOM Journal Vol 4, No 1 (2010)
Publisher : Pusat Penelitian Informatika - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.inkom.83

Abstract

Manajemen risiko pasar merupakan bagian kegiatan pokok untuk setiap bank manapun baik itu bank skala besar ataupun kecil. Karena risiko pasar menyangkut sekurangkurangnya dua hal penting, yaitu suku bunga dan nilai tukar, di mana hal ini sangat berkaitan erat dengan proses bisnis bank, baik itu dari sudut pemberian kredit/pinjaman kepada debitur maupun dari sudut pendanaan bank terhadap kreditur itu sendiri. Sehingga bank menghadapi risiko-risiko yang dapat mengakibatkan kerugian yang selanjutnya jika risiko-risiko tersebut tidak dapat ditangani dengan baik, maka kerugian yang ditimbulkan dapat berakibat fatal terhadap permodalan bank yang bisa menyebabkan bankrutnya bank tersebut. Maka dari itu, dalam penelitian ini akan dicoba untuk dibuat analisis dan desain dari sistem informasi risiko pasar untuk bank yang kelak dapat dikembangkan yang diharapkan dapat memenuhi kebutuhan pihak bank yang peduli terhadap manajemen risiko pasar. Selain suku bunga dan nilai tukar yang dipertimbangkan, dalam analisis dan desainnya pun mempertimbangkan perubahan nilainya yang real time terhadap pasar sehingga pihak bank dapat segera mengetahui dampaknya terhadap kegiatan bisnisnya dengan begitu dapat segera diambil keputusan agar keseimbangan dan keuntungan bisnis bank dapat tetap dipertahankan.
Pengembangan Modul Sebagai Multimedia Pembelajaran Interaktif Dengan Model Discovery Learning Untuk Meningkatkan Kognitif Siswa Zsalzsa Puspa Alivia; Wahyudin; Muhamad Nursalman
Digital Transformation Technology Vol. 3 No. 2 (2023): Artikel Periode September 2023
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v3i2.3138

Abstract

Media pembelajaran yang dikembangkan dengan model pembelajaran yang tepat dapat membantu siswa lebih baik dalam memahami mata pelajaran. Model pembelajaran yang kurang efektif, peralatan dan media yang tidak tepat, antusiasme siswa menjadi latar belakang penelitian ini. Penelitian ini merupakan penelitian pengembangan yang bertujuan untuk: (1) Menghasilkan e-modul sebagai media pembelajaran interaktif dengan model pembelajaran discovery dalam mencetak mata kuliah desain grafis untuk meningkatkan kemampuan kognitif siswa. (2) Mengetahui kelayakan e-modul sebagai multimedia pembelajaran interaktif dengan model pembelajaran discovery untuk meningkatkan kemampuan kognitif siswa. Penelitian ini menggunakan ADDIE sebagai metode pengembangan dengan tahapan analisis, desain, pengembangan, implementasi, dan evaluasi. Hasil penelitian ini menunjukkan bahwa: (1) E-modul sebagai multimedia pembelajaran interaktif dinyatakan baik dan layak digunakan dengan nilai persentase 90,8% termasuk kategori "Sangat Baik" oleh pakar media. (2) E-Modul sebagai multimedia interaktif dapat meningkatkan kemampuan kognitif siswa dengan nilai gain rata-rata 0,61 dengan kriteria efektivitas "Sedang". (3) Respon siswa terhadap penggunaan E-modul sebagai multimedia pembelajaran interaktif menunjukkan nilai persentase 96,2% dengan kategori "Sangat Baik".
Optimizing Learning Management Systems for Elderly Teachers in Indonesia Using a User Experience-Based Design Thinking Approach: A Case Study at SMAN 77 Jakarta Muhamad Nursalman; Rosa Ariani Sukamto; Ahmad Fathi Ibrahimov; Amelia Zalfa; Salma Ghaida; Natasha Adinda Cantika; Muhammad Ruby PS
Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika Vol. 11 No. 2 (2025): October 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v11i2.2780

Abstract

Learning Management Systems (LMS) have become essential tools in educational institutions for delivering online learning experiences. Despite their widespread adoption, many elderly teachers face considerable challenges in navigating and operating these platforms, which can hinder the effectiveness of the teaching and learning process. Recognizing this issue, the present study focused on developing a more user-friendly LMS tailored specifically for elderly teachers by employing a design thinking approach. This approach, known for its human-centered and iterative nature, involves five key stages: empathy, problem definition, ideation, prototyping, and testing. The study involved 30 participants, including senior teachers, younger teachers, and LMS administrators, to ensure a comprehensive understanding of user needs and to foster collaborative development. During the empathy stage, the specific difficulties faced by elderly teachers were identified, and these insights guided the formulation of the core problems. Ideas for improving the LMS interface and functionality were generated and transformed into prototypes, which were subsequently tested and refined based on user feedback. Evaluation of the final LMS design involved expert validation in UI/UX, as well as the use of two established usability instruments: the User Experience Questionnaire (UEQ) and the System Usability Scale (SUS). Results showed significant improvements in user satisfaction and usability. The UEQ scores reached the “excellent” category, with the lowest score being 1.815, indicating high user experience across various dimensions. Additionally, the SUS score improved markedly from 50 to 76, highlighting a substantial increase in perceived usability. These findings suggest that the design thinking approach is highly effective in addressing usability issues and can lead to the development of more accessible and comfortable LMS platforms for elderly educators.
Efektivitas sistem penilai daring dengan pembelajaran berbasis masalah untuk peningkatan berpikir komputasional Agus Suratna Permadi; Muhamad Nursalman; Munir Munir
Curricula: Journal of Curriculum Development Vol. 5 No. 1 (2026): Curricula: Journal of Curriculum Development
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/curricula.v5i1.95499

Abstract

Computational Thinking (CT) has become a crucial competence in 21st-century vocational education, particularly in programming-related fields. However, programming instruction in vocational high schools often emphasizes syntactic correctness rather than higher-order problem-solving processes. This study aims to analyze the effectiveness of integrating the HUTS Online Judge (HUSTOJ) system with a Problem-Based Learning (PBL) model in improving students’ CT skills and to examine students’ learning behavior patterns through system log data. The study employed a quantitative pre-experimental one-group pretest-posttest design involving 38 tenth-grade vocational students majoring in Software Engineering. CT skills were measured using Problem-Based programming tests covering decomposition, pattern recognition, abstraction, and algorithmic thinking, while learning behaviors were analyzed using HUSTOJ activity logs. The results indicate a significant improvement in CT skills, with a large effect size and a moderate-to-high normalized gain. Log analysis revealed distinct learning behavior profiles, highlighting the role of iterative refinement and persistence in CT development. These findings suggest that integrating HUSTOJ and PBL provides effective scaffolding for learning and process-oriented assessment, making it a promising instructional model for vocational programming education.
Pengembangan Sistem Pembuatan Curriculum Vitae Menggunakan Google Apps Script, Google Sheets, dan Google Docs Akmal Zulkifli; Rani Megasari; Muhamad Nursalman
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 5 No. 2 (2026): September 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v5i2.546

Abstract

Persaingan kerja yang ketat dan penggunaan Applicant Tracking System (ATS) oleh perusahaan menuntut para pencari kerja, khususnya lulusan baru, untuk memiliki Curriculum Vitae (CV) yang informatif dan sesuai standar. Namun, banyak yang mengalami kesulitan dalam menyusun CV yang efektif, seperti proses manual yang memakan waktu, kesulitan memperbarui data, dan ketiadaan fitur untuk melacak rekam jejak profesional. Penelitian ini bertujuan merancang dan mengembangkan sistem pembuatan CV otomatis berbasis website yang terintegrasi dengan Google Apps Script, Google Sheets, dan Google Docs. Sistem ini memungkinkan pengguna untuk membuat CV melalui pengisian form, menyimpannya secara otomatis di Google Sheets, dan menghasilkan dokumen di Google Docs yang dapat diperbarui secara langsung. Metode penelitian yang digunakan adalah prototyping, yang mencakup tahapan analisis masalah, perancangan ide dan solusi, pengembangan website, serta evaluasi. Hasil pengujian menunjukkan sistem ini berhasil menyederhanakan proses pembuatan CV, menghasilkan dokumen yang ramah ATS, dan menyediakan fitur visualisasi data untuk memantau perkembangan pencapaian pengguna dari waktu ke waktu. Sistem ini memberikan solusi yang efisien, mudah digunakan, dan membantu pengguna merencanakan karier dengan lebih baik.
Implementation and Evaluation of a Blockchain and Decentralized Identity-Based Federated Learning Prototype for GPT-2 Fine-Tuning Rakha Dhifiargo Hariadi; Rizky Rachman Judhie Putra; Muhamad Nursalman
Bulletin of Network Engineer and Informatics Vol. 4 No. 2 (2026): BUFNETS (Bulletin of Network Engineer and Informatics) October 2026
Publisher : PT. GWEX NET PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59688/n79syd17

Abstract

Large language model development depends on large-scale training data, yet centralized collection raises privacy risks and concentrates control among a few organizations. Federated learning addresses part of this problem but retains a central aggregator, cannot readily verify contributions, and lacks sustained incentives. Blockchain integration resolves coordination and transparency, yet participant identity remains exposed to sybil attacks. This study designs, implements, and evaluates a prototype platform combining these three technologies. The prototype uses GPT-2 Small with 10,000 Alpaca samples partitioned Non-IID across five clients, the FederatedHub contract on Ethereum, and IPFS as off-chain storage. Evaluation covers 5 rounds across 3 seeds, 9 attack variants, a sybil attack using 10 identities, and two-attacker collusion. The delta-based scoring function yields scores from 27.3 to 73.0 correlating 0.920 to 0.991 with data volume, perplexity falls from 24.6722 to 7.7798, and ROUGE-L rises by 106.6%. The gate catches 8 of 9 variants, yet one variant that positions itself inside the acceptance range passes every trial while capturing 95.2% of legitimate client rewards. All sybil identities are admitted, and gas cost limits the system to 15 or 16 participants. The weakness lies in the identity and incentive layers, not in model quality.
EXIF-Based Verification of Time-Location Claims in Indonesian Disaster News: A Controlled Study Revana Faliha Salma; Rizky Rachman Judhie Putra; Muhamad Nursalman
Bulletin of Network Engineer and Informatics Vol. 4 No. 2 (2026): BUFNETS (Bulletin of Network Engineer and Informatics) October 2026
Publisher : PT. GWEX NET PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59688/6n7w4m04

Abstract

Visual false-context misinformation pairs an authentic image with an inaccurate claim about when or where it was captured, and is prominent in disaster reporting. Existing verification methods either rely on external web evidence unavailable before publication or on text-only analysis that is vulnerable to professionally written false narratives. This study designs and evaluates a proof-of-concept system that extracts Indonesian location and date claims using BERT-based Indonesian Named Entity Recognition and checks their consistency against GPS and timestamp fields in EXIF metadata through great-circle distance and temporal-delta calculations. Evaluation used a controlled synthetic benchmark of 250 samples built from 50 Flickr images with five narrative variants each, split by photo identity so that the test set held 50 narratives from 10 held-out images. Three configurations were compared, namely TF-IDF with linear SVM, an NLP-only rule system, and the proposed EXIF-assisted consistency checker. On this controlled test set, the hybrid configuration classified all 50 samples correctly, reaching 100% accuracy with an exact 95% confidence interval of 92.9% to 100%, whereas the two text-only configurations showed strong class bias with F1-Macro of 54.03% and 35.52%. However, the labels and hybrid features were both defined from the same spatio-temporal deviation, the test set was small and clustered by image, and EXIF integrity was assumed rather than authenticated. The findings therefore demonstrate correct implementation and potential utility for consistency screening, not real-world misinformation verification. External validation on human-written cases, missing or tampered metadata, and cluster-aware statistical evaluation is required before newsroom deployment.
Co-Authors Agus Suratna Permadi Ahmad Fathi Ibrahimov Akmal Zulkifli Amelia Zalfa Muhammad Ruby PS Munir Munir Natasha Adinda Cantika Rakha Dhifiargo Hariadi Rani Megasari Revana Faliha Salma Rizky Rachman Judhie Putra Rosa Ariani Sukamto Salma Ghaida Wahyudin Zsalzsa Puspa Alivia