Article Per Year (5 Year)
p-Index From 2021 - 2026
2.17
P-Index
This Author published in this journals
All Journal TEKNIK INFORMATIKA Proceedings of Annual International Conference Syiah Kuala University - Life Sciences & Engineering Chapter JIK Jurnal Ilmu Komputer TELKOMNIKA (Telecommunication Computing Electronics and Control) Prosiding SNATIKA Vol 01 (2011) Sinkron : Jurnal dan Penelitian Teknik Informatika Technomedia Journal Indonesian Journal of Electrical Engineering and Computer Science IJIIS: International Journal of Informatics and Information Systems Journal of Applied Data Sciences Loghat Arabi: Jurnal Bahasa Arab & Pendidikan Bahasa Arab International Journal of Cyber and IT Service Management (IJCITSM) Startupreneur Business Digital (SABDA Journal) Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Blockchain Frontier Technology (BFRONT) Journal of Current Research in Blockchain International Journal Research on Metaverse
Yusuf Abdurachman
UIN Syarif Hidayatullah Jakarta
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Library & Information Science Other

Published : 19 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 19 Documents
Search

 1   2 
Comparative Analysis of SVM and RF Algorithms for Tsunami Prediction: A Performance Evaluation Study Sukmana, Husni Teja; Durachman, Yusuf; Amri, Amri; Supardi, Supardi
Journal of Applied Data Sciences Vol 5, No 1: JANUARY 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i1.159

Abstract

This study explores the use of machine learning algorithms, specifically SVM and RF, for predicting tsunamis, a crucial aspect of disaster management. The research utilized earthquake data from 2001 to 2023, evaluating these models based on accuracy, precision, recall, F1-score, and ROC AUC, emphasizing features like magnitude, depth, and alert levels. The SVM model demonstrated an accuracy of 65.61%, precision of 70.59%, recall of 19.67%, F1-score of 30.77%, and ROC AUC of 62.15%. In comparison, the RF model showed an accuracy of 61.15%, precision of 50.00%, higher recall of 36.07%, F1-score of 41.90%, and ROC AUC of 63.84%. These results highlight the distinct strengths of each model: SVM's precision makes it suitable for minimizing false positives, while RF's higher recall indicates its effectiveness in detecting actual tsunamis. The findings underscore the significance of selecting the appropriate model for tsunami prediction based on specific disaster management needs and the inherent trade-offs in model selection. The research concludes that SVM and RF models provide valuable yet distinct contributions to tsunami prediction. Their application should be customized to disaster management requirements, balancing accuracy and operational efficiency. This study contributes to disaster risk management and opens avenues for further research in enhancing the accuracy and reliability of machine learning in natural disaster prediction and response systems.
Manajemen Kontrol Akses Berbasis Blockchain untuk Pendidikan Online Terdesentralisasi Lestari Santoso, Nuke Puji; Durachman, Yusuf; Watini, Srie; Millah, Shofiyul
Technomedia Journal Vol 6 No 1 Agustus (2021): TMJ (Technomedia Journal)
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (447.465 KB) | DOI: 10.33050/tmj.v6i1.1682

Abstract

Banyak pengguna menggunakan internet sebagai alat untuk layanan informasi yang lebih baik di lembaga pendidikan. Jaringan ini tidak memiliki penyedia layanan yang bertindak sebagai otoritas pusat dan pengguna memiliki kontrol lebih besar atas informasi mereka sehingga tidak ada pihak ketiga. Sehingga diusulkan sebagai solusi alternatif untuk sistem pembelajaran jaringan terpusat saat ini menggunakan Decentralized Online Educations (DOE). Banyak DOE telah diusulkan, namun keberadaan layanan Decentralized Online Educations (DOE) membutuhkan solusi terdistribusi yang efisien untuk melindungi privasi pengguna. Dalam beberapa tahun terakhir, banyak teknologi blockchain telah diimplementasikan ke dalam sistem pembelajaran sehingga sangat cocok untuk institusi pendidikan yang digunakan untuk menyelesaikan masalah privasi dalam sistem desentralisasi. Pada platform ini, menggunakan teknologi blockchain sebagai sistem penyimpanan, dan materi pembelajaran yang bersifat publik. Dalam studi ini, buat kerangka kerja kontrol akses yang dapat dikelola dan diaudit untuk Decentralized Online Educations (DOE) menggunakan teknologi blockchain untuk membahas definisi kebijakan privasi. Kunci publik yang digunakan oleh pemilik sumber daya menggunakan dari subjek untuk menentukan kebijakan akses dapat diaudit menggunakan Access Control List (ACL), sedangkan untuk mendekripsi data pribadi setelah izin akses divalidasi di blockchain menggunakan kunci pribadi yang terkait dengan akun Ethereum subjek. Untuk memberikan evaluasi dari pendekatan ini, gunakan testnet Rinkeby Ethereum untuk mengimplementasikan Kontrak Cerdas. Dan hasil dari percobaan ini dapat menunjukkan bahwa Access Control List (ACL) yang diusulkan menggunakan Attribute-Based Access Control (ABAC) dalam sistem pembelajarannya. Untuk mewujudkannya, diperlukan Access Control List (ACL).
Mobile Banking Service Quality and User Loyalty Using MSQUAL: A Systematic Literature Review Nashikha, Ainun; Huda, Muhammad Qomarul; Fitroh, Fitroh; Durachman, Yusuf; Waspodo, Bayu
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 4 (2025): Articles Research October 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i4.15231

Abstract

Digital transformation has made mobile banking a core service in the banking industry, emphasizing service quality as a critical factor for user satisfaction and loyalty. This study presents a systematic literature review (SLR) of mobile banking research from 2021 to 2025, guided by PRISMA and structured using the PICOC framework (Population, Intervention, Comparison, Outcome, Context) to systematically select and evaluate relevant studies. The MS-QUAL model, comprising nine dimensions: efficiency, system availability, responsiveness, privacy, content, contact, billing, fulfillment, and compensation, was used as the evaluation framework. Out of 924 initially identified articles, 20 met the inclusion criteria for in-depth analysis. Findings show that efficiency, system availability, privacy, responsiveness, content, and fulfillment consistently drive user satisfaction, while compensation, contact, and billing have limited influence. Satisfaction serves as the primary mediator connecting service quality to loyalty, indicating that improvements in MS-QUAL dimensions must translate into positive user experiences to foster long-term loyalty. The study further highlights challenges in maintaining security standards, adapting traditional dimensions to evolving user expectations, and ensuring consistent service quality. Opportunities lie in leveraging technologies such as AI, blockchain, and big data to create personalized, secure, and interactive experiences, enhancing both functional and emotional engagement. Overall, MS-QUAL remains a relevant and flexible framework for evaluating mobile banking service quality when aligned with contemporary technological advances and user-centered strategies.
Evaluating the Security of Electronic Medical Records in Indonesia’s SIMPUS Application Using the CIA Framework Durachman, Yusuf; Rahman, Abdul Wahab Abdul
International Journal of Informatics and Information Systems Vol 8, No 3: September 2025
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v8i3.263

Abstract

Ensuring the security of electronic medical records (EMRs) is a critical challenge in the digital transformation of healthcare systems, particularly in developing countries. This study evaluates the security of Indonesia’s Community Health Center Information System (SIMPUS) based on the principles of confidentiality, integrity, and availability (CIA). A qualitative descriptive approach was employed, combining interviews and direct observation of SIMPUS implementation across multiple user roles. The findings reveal that while confidentiality is supported through user authentication, vulnerabilities remain due to shared account usage and the absence of automatic log-off features. Data integrity is maintained through restricted editing rights, but the lack of an audit trail limits the system’s ability to detect unauthorized changes. Data availability is generally sufficient; however, reliance on manual backup processes exposes the system to potential data loss. The study highlights the need for enhanced audit mechanisms, automated backup solutions, and staff training to strengthen data security compliance with national regulations and international standards such as ISO 27001 and HIPAA. Strengthening these measures will help ensure that SIMPUS can function as a secure and reliable platform for managing electronic medical records in Indonesia’s primary healthcare system.
Technological and Islamic environments: Selection from Literature Review Resources Durachman, Yusuf; Sean Bein, Adrian; Purnama Harahap, Eka; Ramadhan, Tarisya; Putri Oganda, Fitra
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 1 No. 1 (2021): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1277.205 KB) | DOI: 10.34306/ijcitsm.v1i1.12

Abstract

This article is displayed in two fundamental segments drawing consideration to investigate standards, beginning with tawḥīd as a result it was a vision conveyed of the overall troubles of mankind with other animals within the world. At that point continue with a survey of the two standards, specifically the caliph, the caliph of people on soil, and the guideline of trust (amānah). The moment portion examines illustrations of infringement of these principles in three fundamental ranges: the spread of debasement (fasād) within the world, extraction and squander (isrāf) and enduring (ḍarar). The most objective of the talk in this area is the administration of people, or maybe the fumble of the world and its assets so that mankind itself gets to be the most noteworthy casualty of its own disappointments. The conclusion draws consideration to how comprehensive Islamic sees and lessons can make chosen commitments to the wrangle about possible worldwide climate change. This article concludes with suggestions for conceivable changes.
Feature Extraction Using Mel-Frequency Cepstral Coefficients (MfCC) Technique For A Tajweed Guess Based on Android Application Development Hulliyah, Khodijah; Kultsum, Lilik Ummi; Wibowo, Wahyu Hendarto; Setianingrum, Anif Hanifa; Arini, Arini; Durachman, Yusuf
JURNAL TEKNIK INFORMATIKA Vol. 18 No. 1: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v18i1.44721

Abstract

The development of information and communication technology today has had a significant impact on various aspects of life, including education. One notable example is the increasing number of applications designed for learning to recite the Quran with proper tartil. The growing trend of tahfidz (Quran memorization) is undoubtedly a positive development from a religious perspective. However, many individuals focus solely on memorization without acquiring the ability to recite the Quran properly and accurately. One discipline that supports proper Quran recitation is the knowledge of tajweed. Numerous applications have been developed in this field, especially on Android platforms. However, applications that utilize artificial intelligence (AI) to recognize tajweed rules and involve users in guessing tajweed readings are still in need of further development. The aim of this research is to develop a tajweed learning application using the concept of Automatic Speech Recognition (ASR). This study employs data collection methods such as literature review, quantitative methods, and testing. The design is represented using Unified Modeling Language (UML), while the application is tested using the Black Box Testing method. For data analysis and testing of the speech recognition model, the Hidden Markov Model (HMM) algorithm is employed, with Mel-Frequency Cepstral Coefficients (MFCC) used for feature extraction. The output of this research is an Android-based tajweed learning application that integrates speech recognition and allows users to guess tajweed rules interactively.
Blockchain and the Evolution of Decentralized Finance Navigating Growth and Vulnerabilities Durachman, Yusuf; Rahman, Abdul Wahab Abdul
Journal of Current Research in Blockchain Vol. 1 No. 3 (2024): Regular Issue December
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jcrb.v1i3.20

Abstract

Decentralized Finance (DeFi) is revolutionizing the way individuals and institutions engage with financial services by removing intermediaries and offering decentralized alternatives to traditional banking and finance systems. This paper explores the rapid growth and impact of DeFi on global financial systems, focusing on key protocols such as Uniswap, Aave, and Compound. Using both qualitative and quantitative methodologies, including case studies and comparative analyses, the research examines the evolution of DeFi in terms of Total Value Locked (TVL), transaction costs, security challenges, and user adoption. The findings reveal that DeFi platforms have experienced exponential growth in liquidity, with TVL across major protocols increasing from $50 million in January 2020 to over $100 billion by January 2024. Uniswap alone saw its TVL grow from $50 million to $15 billion during the same period. DeFi significantly reduces transaction costs, with cross-border fees averaging $7 on Uniswap, compared to $35 in traditional banks. However, Ethereum gas fees remain volatile, exceeding $50 during peak congestion periods. Despite these cost benefits, the study also identifies security as a major concern, with 22 significant security incidents reported in DeFi between 2020 and 2023, resulting in substantial financial losses. Additionally, the lack of clear regulatory frameworks continues to pose challenges to broader adoption. This research concludes that while DeFi has the potential to disrupt traditional financial systems, its long-term success depends on addressing these technical and regulatory challenges. The adoption of Layer-2 scaling solutions, along with improvements in security and regulatory clarity, will be essential for ensuring the continued growth and stability of the DeFi ecosystem.
Investigating the Impact of Gameplay Hours on Player Recommendations in Steam Games: A Comparative Analysis Using Logistic Regression and Random Forest Classifiers Durachman, Yusuf; Rahman, Abdul Wahab Abdul
International Journal Research on Metaverse Vol. 2 No. 1 (2025): Regular Issue March
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijrm.v2i1.21

Abstract

The study delves into the complex relationship between gameplay hours and player recommendations on the Steam platform, leveraging both Logistic Regression and Random Forest classifiers to analyze the data. The findings underscore a strong correlation between hours played and the likelihood of recommending a game. Specifically, longer gameplay hours generally indicate higher engagement levels, which often translate into a greater propensity for players to recommend the game. However, this trend is not universally applicable; a subset of users with high playtime did not recommend their games, highlighting that engagement alone does not guarantee satisfaction. Factors such as game quality, unmet player expectations, and individual preferences may influence these outcomes. The Logistic Regression model provided a clear linear understanding of the data, demonstrating that hours played significantly affect recommendation likelihood. Its coefficients suggested a positive relationship, making it a useful tool for interpreting the odds of recommendation changes based on gameplay hours. Nonetheless, the model's limitations became evident in its inability to capture intricate, non-linear patterns within the data. In contrast, the Random Forest classifier excelled by capturing complex interactions and offering robust predictive accuracy. This model utilized ensemble learning to analyze various decision trees, thereby revealing more nuanced insights into player behaviors. Feature importance scores derived from Random Forest confirmed that hours played was a critical variable, but also highlighted the potential significance of other factors contributing to player recommendations. Model performance metrics further reinforced these observations. The Random Forest classifier outperformed Logistic Regression in terms of accuracy (82.65% compared to 81.26%), precision, recall, and the F1-score, while also delivering a higher Area Under the Curve (AUC-ROC), indicating superior discriminative power. These results suggest that Random Forest is more suitable for capturing the multifaceted dynamics of player engagement and recommendations. This comprehensive comparison illustrates how different modeling approaches can yield valuable, yet varying, insights into gaming data.
Digital Ethics in the Utilization of Arabic Language Learning Applications: A Case Study at the State Islamic University of Sunan Ampel Surabaya/Etika Digital Dalam Penggunaan Aplikasi Pembelajaran Bahasa Arab: Studi Kasus Di UIN Sunan Ampel Surabaya Lutfiya, Nur Aqilah; Yusuf, Kamal; Abdurachman, Yusuf; Tuada, Linura; Alauddin, Ilham
Loghat Arabi : Jurnal Bahasa Arab dan Pendidikan Bahasa Arab VOL 6, NO 1 (JUNI 2025): LOGHAT ARABI
Publisher : IAI DDI Polewali Mandar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36915/la.v6i1.598

Abstract

This study aims to describe students’ understanding, practical implementation, supporting and inhibiting factors, and the implications of digital ethics in Arabic language learning at UIN Sunan Ampel Surabaya. Using a descriptive qualitative approach, data were collected through interviews, observations, and digital documentation involving 12 students and 3 lecturers who used platforms such as Zoom and Google Classroom. The findings indicate that students possess a strong understanding of digital ethics, which they associate with Islamic values such as adab, honesty, and responsibility. Their ethical awareness is reflected in polite communication, academic integrity, and attention to digital privacy. However, inconsistencies remain in practice, as minor plagiarism, limited participation, and reliance on digital conveniences are still observed. Supporting factors include moral awareness, lecturer role-modelling, and a religious academic environment, while inhibiting factors relate to limited digital literacy, academic pressure, and technical constraints. Overall, digital ethics significantly enhance the quality of Arabic language learning by fostering respectful interaction, academic integrity, and digital well-being.Penelitian ini bertujuan untuk mendeskripsikan pemahaman mahasiswa, praktik penerapan, faktor pendukung dan penghambat, serta implikasi etika digital dalam pembelajaran bahasa Arab di UIN Sunan Ampel Surabaya. Menggunakan pendekatan kualitatif deskriptif, data dikumpulkan melalui wawancara, observasi, dan dokumentasi terhadap 12 mahasiswa dan 3 dosen pengampu mata kuliah bahasa Arab yang menggunakan aplikasi digital seperti Zoom dan Google Classroom. Hasil penelitian menunjukkan bahwa mahasiswa memiliki pemahaman etika digital yang baik dan mengaitkannya dengan nilai-nilai keislaman, terutama sopan santun komunikasi, kejujuran akademik, serta perlindungan privasi. Namun, penerapan etika digital belum sepenuhnya konsisten, ditandai dengan masih adanya plagiarisme ringan, partisipasi rendah, dan ketergantungan pada fasilitas digital. Faktor pendukung meliputi kesadaran moral, keteladanan dosen, dan budaya akademik religius, sedangkan hambatan utama berupa keterbatasan literasi digital dan kendala teknis. Etika digital terbukti berkontribusi pada peningkatan kualitas pembelajaran bahasa Arab.
Co-Authors A'ang Subiyakto Abd. Rahman Ahlan Abd. Rahman Ahlan Rahman Ahlan Abdur Rohim Boy Berawi Abdur Rohim Boy Berawi Adrian Sean Bein Alauddin, Ilham Ali Djamhuri Amri Amri Anif Hanifa Setianingrum, Anif Hanifa Antonius Ivan, Antonius Arini Arini A’ang Subiyakto A’ang Subiyakto Subiyakto Bayu Waspodo Ditha Septiandani Elvi Fetrina Erwin Tobing, Erwin Evy Nurmiati Fitra Putri Oganda Fitroh Fitroh, Fitroh Himki, Arzo Huda, Muhammad Qomarul Husni Teja Sukmana Irma Yunita Isti Surjandari Prajitno, Isti Surjandari Kamal Yusuf Khodijah Hulliyah Kultsum, Lilik Ummi Lestari Santoso, Nuke Puji Lutfiya, Nur Aqilah M. Qamarul Huda Millah, Shofiyul Mira Kartiwi Mohammed Ali Berawi Muhamad Nur Gunawan Muhamad Yusup Nahdlah Nurul Murhum Nahry Nahry Nashikha, Ainun Perdana Miraj Pramono, Erry Sigit Purnama Harahap, Eka Putri Oganda, Fitra Rahman Raeyani Kalele Rahman, Abdul Wahab Abdul Ramadhan, Tarisya Sean Bein, Adrian Shofiyul Millah Supardi Supardi Syopiansyah Jaya Putra Syopiansyah Jaya Putra Taqwa Hariguna Tarisya Ramadhan Teuku Yuri M. Zagloel Tuada, Linura Watini, Srie Wibowo, Wahyu Hendarto Yelna Yuristiary