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All Journal Jurnal Informatika Jurnal Pilar Nusa Mandiri ILKOM Jurnal Ilmiah EXPLORE Journal Ilmiah Rinjani : Media Informasi Ilmiah Universitas Gunung Rinjani EXPLORE Al-Zayn: Jurnal Ilmu Sosial & Hukum Jurnal Kecerdasan Buatan dan Teknologi Informasi Explore Jurnal Informatika International Journal of Scientific Research Jurnal Perlindungan Masyarakat Bestuur Praesidium
Erfan Wahyudi
Institut Pemerintahan Dalam Negeri, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences

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Classification of stroke patients using data mining with adaboost, decision tree and random forest models Imran, Bahtiar; Wahyudi, Erfan; Subki, Ahmad; Salman, Salman; Yani, Ahmad
ILKOM Jurnal Ilmiah Vol 14, No 3 (2022)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v14i3.1328.218-228

Abstract

A stroke is a fatal disease that usually occurs to the people over the age of 65. The treatment progress of the medical field is growing rapidly, especially with the technological advance, with the emergence of various medical record data sets that can be used in medical records to identify trends in these data sets using data mining. The purpose of this study was to propose a model to classify stroke survivors using data mining, by utilizing data from the kaggle sharing dataset. The models proposed in this study were AdaBoost, Decision Tree and Random Forest, evaluation results using Confusion Matrix and ROC Analysis. The results obtained were that the decision tree model was able to provide the best accuracy results compared to  the other models, which was 0.953 for Number of Folds 5 and 10. From the results of this study, the decision tree model was able to provide good classification results for stroke sufferers.
CYBERSECURITY GOVERNANCE IN ELECTRONIC-BASED GOVERNMENT SYSTEMS: AN ANALYSIS OF THE GOVERNMENT’S LEGAL RESPONSIBILITY FOR PUBLIC DATA BREACHES Erfan Wahyudi; Muhammad Suhardi
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 4 No. 3 (2025): September 2025
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v4i3.462

Abstract

The increasing digitalisation of public administration has made cybersecurity governance a central issue in electronic-based government systems. Public data breaches in government digital platforms are no longer merely technical incidents, but also raise questions of administrative responsibility, public service continuity, and citizens’ legal protection. This study examines the government’s legal responsibility for public data breaches within the framework of cybersecurity governance and electronic-based government systems. Using a normative juridical method with statutory, conceptual, and analytical approaches, this article analyses cybersecurity as part of the state’s duty to provide secure, reliable, and accountable digital public services. The findings show that government responsibility can be constructed through three layers: preventive responsibility, responsive responsibility, and restorative responsibility. Preventive responsibility requires risk-based cybersecurity standards, institutional coordination, security audits, and adequate backup systems. Responsive responsibility requires rapid incident detection, containment, reporting, and transparent public communication. Restorative responsibility requires service recovery, breach notification, institutional evaluation, and remedies for affected citizens. The novelty of this study lies in integrating cybersecurity governance, electronic-based government systems, and administrative-law responsibility into a single analytical framework. The study argues that public data protection is not only a technical obligation, but also a legal manifestation of due care, accountability, good administration, and public service responsibility. Therefore, cybersecurity governance must be positioned as an essential requirement for lawful, secure, and citizen-centred digital government.
Community Participation In The Implementation Of The Drought Contingency Plan In Kupang City, East Nusa Tenggara Province Fobia, Benhard Benyamin; Whyudi, Erfan; Lalu Ahmad Murdhani
Al-Zayn: Jurnal Ilmu Sosial, Hukum & Politik Vol 4 No 3 (2026): 2026
Publisher : Yayasan pendidikan dzurriyatul Quran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61104/alz.v4i3.5619

Abstract

Penelitian ini mengkaji partisipasi masyarakat dalam implementasi Rencana Kontingensi Kekeringan (Renkon) di Kota Kupang, Provinsi Nusa Tenggara Timur. Kota Kupang bercirikan iklim semi-kering dengan curah hujan rendah dan musim kemarau yang panjang, sehingga sangat rentan terhadap kejadian kekeringan yang berkepanjangan. Badan Penanggulangan Bencana Daerah (BPBD) Kota Kupang telah merumuskan Rencana Kontingensi sebagai instrumen untuk mengantisipasi dan mengelola dampak kekeringan; namun, efektivitas rencana ini sangat bergantung pada partisipasi aktif masyarakat. Penelitian ini menggunakan pendekatan kualitatif deskriptif dengan perspektif induktif. Data dikumpulkan melalui wawancara mendalam dengan enam informan kunci dari BPBD Kota Kupang, dan anggota masyarakat, dilengkapi dengan observasi lapangan dan tinjauan dokumentasi. Temuan menunjukkan bahwa partisipasi masyarakat terwujud melalui keterlibatan dalam kegiatan sosialisasi Informasi, Pendidikan, dan Komunikasi (KIE) dan latihan simulasi bencana terstruktur (Gladi Ruang, Gladi Posko, dan Gladi Lapang). Namun, partisipasi masih suboptimal karena keterbatasan pengetahuan masyarakat tentang risiko kekeringan, cakupan sosialisasi yang tidak merata, rendahnya kepercayaan masyarakat terhadap program pemerintah, kendala ekonomi, dan faktor sosial budaya. Strategi optimasi mencakup perluasan jangkauan sosialisasi ke seluruh desa perkotaan, melibatkan pemimpin masyarakat dan agama sebagai agen informasi, melakukan simulasi bencana multi-tahap, memperkuat koordinasi antar lembaga, dan meningkatkan alokasi anggaran untuk program manajemen bencana.
LITERATURE ANALYSIS ON THE ROLE OF ARTIFICIAL INTELLIGENCE IN STRENGTHENING CYBERSECURITY IN E-GOVERNMENT SERVICES Erfan Wahyudi; Wiredarme
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 5 No. 2 (2026): May 2026
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v5i2.455

Abstract

The rapid expansion of e-government services has increased the importance of cybersecurity in protecting public digital infrastructure, citizen data, and the continuity of government operations. In this context, Artificial Intelligence (AI) has emerged as a promising approach to strengthening cyber defense through real-time monitoring, anomaly detection, intelligent classification, and adaptive threat response. This study examines the role of AI in strengthening cybersecurity in e-government services through a Systematic Literature Review (SLR) of 27 selected articles published between 2019 and 2025. The review synthesizes the literature at the intersection of AI, cybersecurity, and digital government to identify major research trends, dominant methodological approaches, thematic classifications, and key implementation challenges. The findings show that AI is increasingly positioned not only as a tool for improving administrative efficiency, but also as a strategic enabler of cyber resilience in public-sector digital ecosystems. The literature highlights that machine learning, deep learning, explainable AI, anomaly detection, and privacy-preserving learning models have substantial potential for improving the security of citizen portals, digital identity systems, inter-agency platforms, and smart-government infrastructures. However, implementation remains constrained by fragmented data environments, interoperability problems, institutional readiness gaps, limited explainability, privacy concerns, and the dual-use nature of AI in cyber defense and cyber offense. This study concludes that AI is most effective when integrated into a broader socio-technical framework encompassing governance, accountability, transparency, and organizational capacity.
CONSTITUTIONAL IMPLICATIONS OF THE USE OF MACHINE LEARNING IN INDONESIA’S SOCIAL ASSISTANCE SELECTION AND DISTRIBUTION SYSTEM Erfan Wahyudi; Wiredarme
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 2 No. 3 (2023): September 2023
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v2i3.481

Abstract

This study examines the constitutional implications of using machine learning in Indonesia’s social assistance selection and distribution system. The main objective is to analyze how algorithmic decision-making may affect citizens’ constitutional rights to social security, welfare, equality before the law, legal certainty, and protection from discrimination. This research applies a qualitative legal method with normative-juridical and socio-legal approaches. The analysis is based on constitutional provisions, statutory regulations, social welfare data governance, and policy documents related to Indonesia’s social assistance system, particularly DTKS and SIKS-NG. The findings show that machine learning may improve targeting accuracy and administrative efficiency in social assistance distribution. At the same time, it may reproduce or intensify existing problems in welfare data, especially when the system relies on incomplete, outdated, biased, or unevenly collected information. Algorithmic discrimination may occur indirectly through proxy variables such as residence, housing condition, employment status, digital access, and household composition. This study argues that machine learning should be positioned only as a decision-support tool, not as an autonomous decision-maker. Its constitutional legitimacy depends on data quality, explainability, meaningful human oversight, contestability, independent audit, and clear institutional accountability. The contribution of this study lies in framing machine learning-based social assistance as a constitutional issue, not merely as a technical matter of prediction accuracy or administrative efficiency.
THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN ELECTION SUPERVISION: BETWEEN DIGITAL EFFECTIVENESS AND THE PROTECTION OF CITIZENS’ POLITICAL RIGHTS Erfan Wahyudi; Wiredarme
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 3 No. 3 (2024): September 2024
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v3i3.483

Abstract

This study examines the application of artificial intelligence in Indonesian election supervision, focusing on the balance between digital effectiveness and the protection of citizens’ political rights. The objective is to analyze how AI can support the monitoring of electoral violations, hoaxes, deepfakes, digital campaigns, and voter-data risks without weakening democratic principles. This research applies a qualitative legal method with normative-juridical, conceptual, and socio-legal approaches. The analysis is based on constitutional principles, election law, campaign regulations, personal data protection law, election supervisory regulations, and recent scholarly debates on AI, disinformation, deepfakes, and electoral integrity. The findings show that AI may strengthen election supervision by improving the speed, scale, and accuracy of digital monitoring. Yet AI may also create constitutional risks, including wrongful content classification, suppression of legitimate political expression, unequal enforcement, excessive surveillance, privacy violations, and wrongful voter-data profiling. This study argues that AI-based election supervision is constitutionally legitimate only when it is governed by legality, proportionality, transparency, accountability, and meaningful human oversight. The contribution of this study lies in framing AI in election supervision as a constitutional issue concerning political rights, democratic accountability, and electoral integrity, rather than merely as a technological tool for detecting violations.
Expert System for Diagnosing Corn Plant Diseases Using the Web-Based Certainty Factor Method Muhamad Masjun Efendi; Erfan Wahyudi; Juhartini; Ahmad Nazar
International Journal of Scientific Research Vol. 1 No. 01 (2024): March 2024
Publisher : Yayasan Hisnul Muslim Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62894/wa9s7a88

Abstract

In the process of corn plant growth, it often faces the threat of various diseases that can hinder optimal growth. Dealing with this issue often requires the presence of a plant expert, such as a field agricultural extension officer.  However, limitations in the human resources of  agricultural extension officers, time constraints, and geographical distances often make it difficult for farmers to get direct assistance from experts. To overcome these constraints, a system capable of addressing issues related to corn plant diseases, similar to the role of an expert, is needed. In this study, the Certainty Factor method is employed, suitable for an expert system that measures the level of uncertainty, and through testing with 28 sample data cases, the accuracy level of this system reaches 90%.
Building a Worship Demand Application with The Waterfall Method Using Flutter Framework at The Al-Muttaqin Mosque Suralaga, Indonesia Ahmad Subki; Muhamad Masjun Efendi; Erfan Wahyudi
International Journal of Scientific Research Vol. 1 No. 01 (2024): March 2024
Publisher : Yayasan Hisnul Muslim Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62894/223psh41

Abstract

With the rapid development of modern technology such as smartphones, it has positive and negative impacts in this modern era. The positive impact is easy access to information. Meanwhile, the negative impact is misuse of the smartphone itself, such as opening websites that are not suitable for viewing, one of which is addiction to internet games which makes you lazy about studying. Apart from that, there is also a significant problem, namely travelers and children or teenagers at the Al-Muttaqin Mosque in Suralaga who seem to have quite difficulty carrying religious guidance in the form of a book. To overcome this, an Android-based prayer guidance application was created. It is hoped that this can provide understanding for children and teenagers at the Al-Muttaqin Mosque in Suralaga. As a result, this application was built using the Flutter Framework and the Waterfall method which consists of the user needs analysis stage, namely analyzing what needs and features are needed when creating the application. The design stage is the system design stage using System Flowcharts, UML (Use Case, Class and Activity) diagrams. The implementation stage is the stage of implementing the UI/UX design into a programming language using Visual Studio Code. The final testing stage is the stage of testing the functionality of the application using black box testing and using usability. The results of black box testing show that all menus were successfully executed and the results of usability testing using a Likert scale were 84.8%. This shows that in terms of utility the application built is in the "Very Good" category.
Handling Food Vulnerability Strategy Through Non-Cash Food Assistance Program (BPNT) in Denpasar City, Bali Province I Made Yoga Jaya Kusuma; Erfan Wahyudi; Marzuki
International Journal of Scientific Research Vol. 1 No. 02 (2024): July 2024
Publisher : Yayasan Hisnul Muslim Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62894/ndwnfb22

Abstract

The Non-Cash Food Assistance Program (BPNT) in Denpasar City, Bali Province, has formulated an effective strategy for handling food insecurity by adopting an information technology-based approach and coordinating Social Service employees. This strategy focuses on improving employee performance and competency, information technology infrastructure, distribution centers, and optimizing transportation aspects. Through this approach, distribution points in sub-district or sub-district centers are encouraged to strengthen the inclusive approach promoted by this program. However, obstacles in program implementation are critical points that require serious attention. Problems related to unregistered beneficiaries and changes in KPM addresses are the main challenges in maintaining smooth BPNT distribution. In addition, uncertainty due to inconsistent distribution of funds every month creates a difficult situation for beneficiaries. Technical obstacles, such as the availability of stock at E-Warong and technical problems with the EDC machine, also add to the complexity of implementing the program. To overcome these obstacles, measurable and sustainable solutions are needed. Steps such as conducting direct visits to beneficiary homes to ensure data validity and preventing input errors, labeling KPM homes to reduce overlap, and close collaboration between the Social Service and Dukcapil Service to update data, are solutions that can improve effectiveness and efficiency of the BPNT program in Denpasar City. By implementing these steps, it is hoped that this program can continue to run better and have a greater positive impact in dealing with food insecurity in the region.
Ease of Practical Information Access in the Digital Transformation Era Through the Utilization of the Earthquake Websitein Kaimana Regency Erfan Wahyudi; Elias Hendrik Frasawi; Ahmed Shodiq Al Misry
International Journal of Scientific Research Vol. 1 No. 02 (2024): July 2024
Publisher : Yayasan Hisnul Muslim Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62894/cw8amm87

Abstract

This study aims to investigate and analyze the extent to which ease of access to information through the Earthquake Website can enhance the quality and speed of earthquake information dissemination in Kaimana Regency. Using qualitative methods and an analytical descriptive approach, this research provides an in-depth depiction of how users utilize the website, the challenges encountered, and its impact within the context of digital transformation in the region. The findings indicate that the Earthquake Website provides real-time information about earthquake locations, magnitudes, and potential hazards. Collaboration between the government, non-governmental organizations, and the local community strengthens efforts in earthquake disaster prevention and mitigation. However, several challenges hinder the optimal use of this website, such as low digital literacy, limited internet access in remote areas, and a lack of public awareness regarding the importance of the provided information. To address these challenges, proposed solutions include digital literacy education and training programs, enhancement of digital infrastructure, and intensive and continuous awareness campaigns. This research underscores the significance of the Earthquake Website in earthquake mitigation efforts and highlights strategic measures that can be taken to overcome existing obstacles. With the implementation of appropriate solutions, it is expected that the effectiveness of the website's use can be improved, thereby optimizing earthquake prevention and mitigation efforts in Kaimana Regency.
Co-Authors -, Hoiriyah Achmad Syauqi Agus Miswanto Ahmad Nazar Ahmad Subki Ahmad Subki ahmad yani Ahmed Shodiq Al Misry Akhmad Muzakka Akmal Alamsyah Baihaki, Makmun Baiq Nonik Ria Riska Efendi, Muhamad Masjun Efendi, Muhammad Masjun Elias Hendrik Frasawi erniwati, surni Ery Rizal Hidayat Fobia, Benhard Benyamin Hidayat, Ery Rizal Hoiriyah - I Made Yoga Jaya Kusuma Ifik Arifin Imran, Bahtiar Karim, Muh Nasirudin Karya Gunawan Karya Gunawan Lalu Ahmad Murdhani Lalu Delsi Samsumar, M.Eng. M Zulpahmi M. Zulpahmi Makmun Baihaki Marzuki Maspaeni Maspaeni Moh Subli Moh. Subli Moh. Subli Muahidin, Zumratul Muhammad Masjun Efendi Muhammad Masjun Efendi Muhammad Rijal Alfian Muhammad Suhardi Muhammad Suhardi Muhammad Zohri Muhammad Zohri, Muhammad Murdhani, Lalu Ahmad Muzakka, Akhmad Novian, Lalu Efendi Nurul Yakin Nurul Yakin Nurul Yakin Riska, Baiq Nonik Ria Rosidin Rosidin Rosidin Rosidin Salman Salman Selamet Riadi Selamet Riadi Subektiningsih Subektiningsih Subki, Ahmad Suryadi, Emi Wiredarme Wiredarme Zaeniah Zaeniah Zaeniah Zulpahmi, M Zulpahmi, M.