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All Journal JIK Jurnal Ilmu Komputer Jurnal Simetris Majalah Geografi Indonesia JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika JEMA: Jurnal Ilmiah Bidang Akuntansi dan Manajemen IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jurnal Pengabdian Masyarakat AbdiMas IKRA-ITH ABDIMAS Aptisi Transactions on Technopreneurship (ATT) Jurnal Mantik Jurnal Abdimas Madani dan Lestari (JAMALI) JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Journal Sensi: Strategic of Education in Information System Jurnal Algoritma, Logika dan Komputasi Devotion: Journal of Research and Community Service Jurnal Ilmu Komputer dan Informatika Journal of Social Research Journal Of World Science Ilmu Komputer untuk Masyarakat Jurnal Locus Penelitian dan Pengabdian Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Indonesia Sosial Teknologi Jurnal Indonesia Sosial Sains Journal of Accounting Research, Organization and Economics (JAROE) Eduvest - Journal of Universal Studies Jurnal Ekonomi, Teknologi dan Bisnis Jurnal Adijaya Multidisiplin Media Abdimas Jurnal Pengabdian Masyarakat Bangsa Jurnal INFOTEL Infact: Jurnal Sains dan Komputer Asian Journal of Social and Humanities INOVTEK Polbeng - Seri Informatika Journal of Golden Generation Multidisciplinary
Widodo, Agung Mulyo
Universitas Esa Unggul
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Analisis Kerangka Kerja IT Governance Untuk Memitigasi Risiko Serangan Siber Pada Perusahaan Di Sektor Jasa Keuangan Rachman, Riyandi Patu; Firmansyah, Gerry; Akbar, Habibullah; Widodo , Agung Mulyo
Jurnal Locus Penelitian dan Pengabdian Vol. 4 No. 11 (2025): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v4i11.5083

Abstract

Cybersecurity has become a critical issue for the financial services sector, which increasingly relies on information technology. Limited resources and inadequate Governance make this sector vulnerable to cyberattacks, which can lead to financial losses, data breaches, and operational disruptions. Therefore, implementing an effective IT Governance Framework is essential to enhance cyber resilience and mitigate attack risks. This study aims to analyze the role of IT Governance in mitigating cyberattack risks for companies in the financial services sector. The research employs a qualitative approach through case studies, interviews, and analysis of relevant documents. The findings indicate that most financial service companies still have low preparedness levels in facing cyber threats. Proper implementation of IT Governance can help improve protection and response to attacks, despite challenges in resources and security awareness.
Backend Infrastructure and Specifications Design Using OpenAPI and API-First on CV Elang Java Mandiri Yohanes Bagas Ari Widatama; Nizirwan Anwar; Agung Mulyo Widodo; Arief Ichwani
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 8 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i8.1174

Abstract

Digital transformation brings changes to the business world by increasing efficiency, convenience, security, certainty and operational speed. CV Elang Java Mandiri experienced the positive impact of this by creating software to increase operational efficiency. However, the use of direct communication between the desktop application and the database causes vulnerabilities. The lack of a bridge between the desktop application and the database also indicates a lack of flexibility when adding other applications. Ransomware attacks on desktop applications cause losses and limitations in development. This research focuses on backend updates that use API as an integrator with the API-First method. OpenAPI standards and OWASP security principles are used to increase resilience against security threats. These steps were tested with OWASP ZAP and http test. The goal is to provide solutions to company problems, meet the need for more secure applications, and make application development easier.
COMPARATIVE ANALYSIS OF EXPLAINABLE AI USING LIME AND SHAP FOR DIABETES PREDICTION BASED ON LIFESTYLE FACTORS Ricky Salim; Agung Mulyo Widodo
Journal of Golden Generation Multidisciplinary Vol. 2 No. 3 (2026): In Progress 2026: Journal of Golden Generation Multidisciplinary
Publisher : PT. Lembaga Penerbit Penelitian Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65244/jggm.v2i3.754

Abstract

The rapid advancement of artificial intelligence (AI) has significantly impacted the healthcare sector, particularly in supporting the early detection of diabetes; however, many AI models still face challenges due to their black-box nature, where decision-making processes are not easily understood. This study aims to compare two Explainable Artificial Intelligence (XAI) methods, namely Local Interpretable Model-Agnostic Explanations (LIME) and SHapley Additive Explanations (SHAP), in interpreting the prediction results of an Artificial Neural Network (ANN) model using the Diabetes Health Indicator dataset. Prior to modeling, the data were preprocessed through cleaning and normalization to ensure quality and consistency. The trained ANN model was then analyzed using LIME and SHAP to evaluate the contribution of each feature to the prediction outcomes. The results show that both methods are capable of providing meaningful and interpretable explanations, although SHAP demonstrates more consistent and stable interpretations across the dataset. These findings highlight the importance of integrating XAI techniques to enhance model transparency, thereby increasing trust and supporting more reliable decision-making in clinical settings, particularly for diabetes diagnosis.
Socket-based File Transfer System using AES-256 and OTP Authentication Feni Widianti; Fauza Khair; Agung Mulyo Widodo; Eko Fajar Cahyadi
JURNAL INFOTEL Vol 18 No 1 (2026): February
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v18i1.1429

Abstract

The increasing risk of data interception during file transmission over open networks requires the development of secure communication systems. This study proposes a secure file transfer scheme that integrates the Advanced Encryption Standard (AES) with a 256-bit key and One-Time Password (OTP)-based authentication over socket programming. The system ensures that only verified users can transmit files by requiring password log-in and OTP verification via email. Upon successful authentication, files are encrypted using AES-256 before being transmitted over a TCP/IP socket connection. The implementation is carried out in Python using Visual Studio Code, with performance evaluated based on encryption time, transfer speed, and resistance to brute-force attacks. Various file types and sizes, including text, documents, images, audio, video, and compressed files, were tested to validate the robustness and efficiency of the system. The results show that the proposed system maintains high data integrity, enforces strong access control, and effectively resists unauthorized access, making it suitable for applications requiring secure file exchange.
Comparative Analysis of Explainable Ai Using Lime and Shap For Diabetes Prediction Based on Lifestyle Factors Ricky Salim; Agung Mulyo Widodo
Journal of Golden Generation Multidisciplinary Vol. 2 No. 3 (2026): Juni : Journal of Golden Generation Multidisciplinary
Publisher : PT. Lembaga Penerbit Penelitian Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65244/jggm.v2i3.754

Abstract

The rapid advancement of artificial intelligence (AI) has significantly impacted the healthcare sector, particularly in supporting the early detection of diabetes; however, many AI models still face challenges due to their black-box nature, where decision-making processes are not easily understood. This study aims to compare two Explainable Artificial Intelligence (XAI) methods, namely Local Interpretable Model-Agnostic Explanations (LIME) and SHapley Additive Explanations (SHAP), in interpreting the prediction results of an Artificial Neural Network (ANN) model using the Diabetes Health Indicator dataset. Prior to modeling, the data were preprocessed through cleaning and normalization to ensure quality and consistency. The trained ANN model was then analyzed using LIME and SHAP to evaluate the contribution of each feature to the prediction outcomes. The results show that both methods are capable of providing meaningful and interpretable explanations, although SHAP demonstrates more consistent and stable interpretations across the dataset. These findings highlight the importance of integrating XAI techniques to enhance model transparency, thereby increasing trust and supporting more reliable decision-making in clinical settings, particularly for diabetes diagnosis.
Integration Of Garch Models And External Factors In Gold Price Volatility Prediction: Analysis And Comparison Of Garch-M Approach Arisandi Langgeng Tardiana; Habibullah Akbar; Gerry Firmansyah; Agung Mulyo Widodo
Eduvest - Journal of Universal Studies Vol. 4 No. 5 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i5.1195

Abstract

This study investigates the volatility of gold prices by applying the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model and extending it with the GARCH-M model, incorporating the Federal Reserve's interest rate as an external variable. The GARCH(1,1) model revealed a positive average daily return for gold, with high sensitivity to recent price changes, indicated by the significant estimation of mu and a high alpha1 value. The persistence of past volatility on current volatility is reflected by a beta1 value close to one. In the GARCH-M model development, a significant negative relationship was found between the Federal Reserve's interest rates and gold returns, suggesting that an increase in the Federal Reserve's interest rates could potentially decrease gold returns. An increase in the Log Likelihood value and improvements in information criteria such as the Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC) indicate that the GARCH-M model provides a better fit than the GARCH(1,1) model that uses only gold price data. The study concludes that macroeconomic factors like the Federal Reserve's interest rates play a crucial role in influencing gold price volatility, and these findings can aid investors and portfolio managers in devising more effective risk management strategies. Additionally, the findings contribute to financial theory by highlighting the importance of multivariate models in the analysis of asset price volatility.
Comparative Analysis of Enterprise Architecture Frameworks Using TOGAF ADM and SPBE Architecture Based on Presidential Regulation No. 132 of 2022 Panji Ramadhan Yudha Putra Hadjarati; Agung Mulyo Widodo; Budi Tjahjono
Eduvest - Journal of Universal Studies Vol. 5 No. 3 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i3.1772

Abstract

This research aims to conduct a comparative analysis between two enterprise architecture frameworks: TOGAF ADM and Electronic-Based Government System Architecture (SPBE) based on Presidential Regulation No. 132 of 2022. TOGAF ADM is a framework commonly used in various types of organizations in the private and public sectors, while the SPBE Architecture is specifically designed for the Indonesian government sector. Through a qualitative descriptive approach, this study analyzes the principles, concepts, processes, and guidelines underlying each framework. This research is expected to provide insight for policy makers and enterprise architecture practitioners in choosing and implementing the framework that best suits the context and needs of their organization. In addition, this study also provides recommendations to improve the efficiency and effectiveness of implementing enterprise architecture in the public and private sectors in Indonesia. As well as its contribution to the efficiency and quality of government services. This research reviews the challenges in implementing the Electronic-Based Government System (SPBE) in Indonesian government institutions and proposes a solution by comparing TOGAF ADM and SPBE Architecture based on Presidential Regulation No. 132 of 2022. The motivation for this study is to improve the effectiveness and efficiency of SPBE implementation by selecting the most suitable framework. The method used involves analyzing structure, flexibility, technology integration, regulatory compliance, practical implementation, performance, and case studies. The results show that the implementation of TOGAF ADM and SPBE Architecture has their respective strengths and weaknesses, but a combination of both can achieve better outcomes in enhancing government performance and efficiency.
Product Recommendations Using Adjusted User-Based Collaborative Filtering on E-Commerce Platforms Gilang Romadhanu Tartila; Habibullah Akbar; Gerry Firmansyah; Agung Mulyo Widodo
Eduvest - Journal of Universal Studies Vol. 5 No. 1 (2025): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i1.50224

Abstract

Product recommendations on e-commerce platforms play a crucial role in supporting customers' purchasing decisions by leveraging user data to provide relevant product suggestions. With the increasing volume of e-commerce data, recommendation methods are needed that are not only accurate but also capable of being applied to diverse datasets. This research focuses on evaluating three product recommendation methods, namely User-Based Collaborative Filtering, Item-Based Collaborative Filtering, and Content-Based Filtering, using various datasets from the Kaggle platform, including transaction data and user reviews. The main problem identified is how to ensure that these three recommendation methods remain optimal despite using different datasets. Through an experimental approach, this research aims to implement and evaluate the performance of these recommendation methods. The results of this study are expected to demonstrate that one of the recommendation methods can work generally on various datasets, thereby making a significant contribution to the selection of the appropriate product recommendation method on e-commerce platforms.
Analysis of The Maturity Level of Cyber Security in The Context of Personal Data Protection for MSMEs in Depok City Catur Agus Sulistyo; Gerry Firmansyah; Budi Tjahjono; Agung Mulyo Widodo
Eduvest - Journal of Universal Studies Vol. 5 No. 2 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i2.50822

Abstract

This research explores the cybersecurity maturity level in the context of personal data protection for Micro, Small, and Medium Enterprises (MSMEs) in Depok City, Indonesia. The increased use of digital technology by MSMEs has raised concerns about personal data security and the vulnerability to cyberattacks. This study aims to develop an assessment tool that MSMEs can use to evaluate their compliance with the Personal Data Protection (PDP) Law and measure their readiness to face cybersecurity challenges. Through a combination of qualitative and quantitative methods, the study analyzes MSMEs' preparedness for cybersecurity and compliance with the PDP Law. The results reveal that while 60.2% of MSMEs manage personal data, a significant 93.5% have not complied with the PDP Law, exposing them to potential financial losses and cyber risks. The research emphasizes the need for MSMEs to adopt a simple yet effective cybersecurity framework to ensure data protection and compliance.
Risk Management in Mobile JKN Application at Depok Private Hospitals with FMEA Method Riris Septiana Sita Dewi; Gerry Firmansyah; Agung Mulyo Widodo; Budi Tjahjono
Eduvest - Journal of Universal Studies Vol. 5 No. 9 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i9.51219

Abstract

The Mobile JKN application that has begun to be implemented in every hospital is the main factor in the success of hospital services. Quite complete features are presented in one application. The variables measured in this study were occurrence (frequency of occurrence), severity (impact), and detectability (monitoring). The research data was obtained based on the results of direct observation at Bhakti Yudha Hospital. Risk management in the use of Mobile JKN is the main topic in this study. This study aims to assess information security risks using the FMEA method. The FMEA method is an error analysis method that arises from the design process of a design work. The results of this study are in the form of Risk Priority Number (RPN) values based on: severity (S = Severity), occurrence (O = Occurrence), and level of detectability (D = Detectability), and a report on risk management results which contains a list of risk analysis priorities accompanied by root causes of problems and risk control measures.
Co-Authors Achmad Fansuri Achmad Randhy Hans Adhi Fernandes Gamaliel Adilah Widiasti Agam Aprianto Ahmad Musnansyah Ahmad Mutedi Akbar, Habibullah Alexander Alexander, Alexander Alivia Yufitri Andriana, Dian Annazma Ghazalba Arif Pami Setiaji Arisandi Langgeng Tardiana Asmara, Qiqi Azzam Robbani, Muhammad Bayu Sulistiyanto Ipung Sutejo Binastya Anggara Sekti Budi Aribowo Budi Tjahjono Budi Tjahjono Budi Tjahyono Budi Tjahyono Budi Tjahyono Budilaksono, Sularso Cahya Darmarjati Catur Agus Sulistyo Deni Iskandar Deni Iskandar Desy Prastyani Doni Antoro Dulbahri Dulbahri Dwiaji, Lingga Dwiputra, Dedy Eko Fajar Cahyadi Eko Prasetyo Endang Ruswanti Erry Yudhya Mulyani Ety Nurhayati Euis Heryati Fadlilatunnisa, Fanny Fatonah, Nenden Siti Fauza Khair Feni Widianti Fernandes Gamaliel, Adhi Fikri Saefullah Fredy Rizaldi Gerry Firmansyah Gerry Firmasyah Ghazalba, Annazma Gilang Romadhanu Tartila Gunawan, Sholeh Gusti Fachman Pramudi Hadi, Muhammad Abdullah Hani Dewi Ariessanti Hartono Hartono Haryoto, Iin Sahuri Hendaryatna Hendaryatna Hendry Gunawawan Heri Wijayanto I Gede Pasek Suta Wijaya Ichwani, Arief Ilham Banuaji Irawan, Bambang Ismiyati Meiharsiwi Iwan Setiawan Izhar Rahim Joniwan Joniwan Karisma Trinanda Putra kartini, kartini Kevin Valeri Khairurrahman, Rifqi Krisogonus Wiero Baba Kaju Kundang Karsono Juman Kundang Karsono Juman Kundang Karsono Juman Kus Hendrawan Muiz Lingga Dwiaji Lisdiana Lisdiana Lisdiana Lisdiana Lukman Cahyadi M. F. Arrozi Adhikara Made Aka Suardana Martin Saputra Massie, Julius Ivander Maulana, Syaban Meiharsiwi, Ismiyati Meria, Lista MF. Arrozi Adhikara Muhammad Azzam Robbani Muhammad Fajrul Aslim Muhammad Hadi Arfian Mutedi, Ahmad Muttaqin, Naufal Hafizh Nina Nurhasanah, Nina Nindyo Artha Dewantara Wardhana Nixon Erzed Nizirwan Anwar Nugraha, William Nurfilael, Gagas Nurfilae Panji Ramadhan Yudha Putra Hadjarati Pratama, Fajar Prayitno Purwano SK Rachman, Riyandi Patu Rahaman, Mosiur Randhy Hans, Achmad Restamauli br Nainggolan Rian Adi Pamungkas Ricky Salim Ricky Salim Rifqi Khairurrahman RILLA GANTINO Riris Septiana Sita Dewi Rizki Faro Khatiningsih Rizky Aulia Roesfiansjah Rasjidin Ryan Putra Laksana Sholeh Gunawan Simorangkir, Holder Sugiyanto Sugiyanto Suhendry, Mohammad Roffi Sunardi, Sunardi Syaban Maulana Syamsul Bahri Tyara Regina Nadya Putri Ulum, Muhamad Bahrul Ummanah Ummanah, Ummanah Vitri Tundjungsari Wahid Abdul Azis Wardhana, Nindyo Artha Dewantara Wibowo, Yudha Widiasti, Adilah William Nugraha Wisnujati, Andika Yanathifal Salsabila Anggraeni Yessy Oktafriani Yohanes Bagas Ari Widatama Yudha Putra Hadjarati, Panji Ramadhan Yulhendri Yulhendri