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All Journal Journal of Governance Jurnal Informatika Jurnal Pilar Nusa Mandiri ILKOM Jurnal Ilmiah EXPLORE Journal Ilmiah Rinjani : Media Informasi Ilmiah Universitas Gunung Rinjani EXPLORE 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 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.
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.
Pemanfaatan Media Sosial Instagram Oleh BNBP Dalam Upaya Mitigasi Bencana Erfan Wahyudi
Jurnal Perlindungan Masyarakat: Bestuur Praesidium Vol. 1 No. 1 (2024): Maret 2024
Publisher : IPDN Kampus NTB

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Abstract

In the era of technological advancement and digitalization, public access to various information has become increasingly facilitated through social media. Social media platforms, such as Instagram, are considered effective tools to meet the trending information needs. The use of Instagram is not confined solely to individuals and businesses; it extends to various institutions, including the National Disaster Management Agency (BNPB). BNPB, as a governmental body, leverages Instagram as a means to disseminate information related to natural disasters and mitigation efforts. This research aims to comprehend the impact of BNPB's utilization of Instagram in the context of disaster mitigation within the community. The research methodology employed is a qualitative descriptive approach, involving the observation of BNPB's Instagram account and interviews with one of its followers, namely bnpb_indonesia. This qualitative study focuses on observing and analyzing the social environment from an individual perspective. The research findings indicate that the Instagram account bnpb_indonesia serves as an effective platform for disseminating information regarding natural disasters. Through this account, the public can stay updated on the latest news concerning natural disasters and receive education on disaster mitigation methods. BNPB actively employs Instagram as a means of socialization to educate the public about the importance of awareness regarding regions prone to disasters.
Transformasi Digital untuk Mitigasi Banjir: Optimalisasi Sistem Informasi di Jawa Barat Akmal Alamsyah; Erfan Wahyudi
Jurnal Perlindungan Masyarakat: Bestuur Praesidium Vol. 1 No. 2 (2024): September 2024
Publisher : IPDN Kampus NTB

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Abstract

Penelitian ini bertujuan untuk mengkaji upaya mitigasi banjir di Provinsi Jawa Barat dengan fokus pada integrasi sistem informasi berbasis digital, partisipasi masyarakat, dan tantangan yang dihadapi dalam pelaksanaannya. Metode penelitian yang digunakan adalah studi pustaka, dimana informasi, analisis dan sintesis diperoleh dari berbagai sumber yang relevan dengan topik mitigasi banjir di Jawa Barat. Langkah-langkah penelitian meliputi identifikasi topik penelitian, pencarian pustaka, pemilihan sumber informasi, analisis dan sintesis, penulisan dan pembahasan, serta validasi dan peer review. Hasil penelitian menunjukkan bahwa integrasi sistem informasi berbasis digital telah menjadi komponen kunci dalam upaya mitigasi banjir di Jawa Barat. Penggunaan teknologi seperti sensor cuaca, penginderaan jauh, dan sistem informasi geografis telah memungkinkan pemantauan yang lebih baik, peringatan dini yang cepat, dan pengambilan keputusan yang akurat dalam menghadapi ancaman banjir. Namun, masih terdapat tantangan dalam penerapan sistem informasi ini, antara lain ketersediaan sumber daya, keamanan data, dan integrasi antar institusi. Selain itu, partisipasi masyarakat juga menjadi faktor penting dalam mitigasi banjir di Jawa Barat. Melalui pendidikan, pelatihan dan kesadaran, masyarakat dapat menjadi lebih siap dan responsif terhadap ancaman banjir. Program partisipatif, seperti pembentukan kelompok relawan atau komite mitigasi bencana di tingkat desa, terbukti efektif dalam meningkatkan ketahanan masyarakat terhadap banjir.
Penggunaan Big Data dan Machine Learning dalam Perumusan Kebijakan Publik: Tinjauan terhadap Prinsip Partisipasi Warga Negara Erfan Wahyudi; Muhammad Suhardi; Wiredarme
Jurnal Perlindungan Masyarakat: Bestuur Praesidium Vol. 3 No. 1 (2026): Maret 2026
Publisher : IPDN Kampus NTB

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Abstract

This study aims to analyze the use of big data and machine learning in public policy formulation by positioning citizen participation as a foundation of democratic legitimacy. The study responds to the growing assumption that data-driven policy is more objective, efficient, and rational, while it may also narrow public participation when governmental decisions rely excessively on digital data and algorithmic recommendations. This research employs a qualitative method with a normative-conceptual approach and library research. The data sources consist of legal materials, policy documents, and academic literature related to big data, machine learning, public policy, digital government, algorithmic governance, and citizen participation. The analysis is conducted through qualitative content analysis and normative interpretation to assess the relationship between analytical technology and participatory principles within the public policy cycle. The findings show that big data and machine learning can strengthen problem identification, agenda setting, policy formulation, implementation, and policy evaluation. However, these technologies also create risks of technocratic policymaking, data bias, underrepresentation of vulnerable groups, weak accountability, and the reduction of citizen participation into mere digital data. This study argues that data-driven policy must preserve public consultation, data correction, citizen objection, decision explanation, and public deliberation. The contribution of this study lies in framing citizen participation as a normative limit on the use of big data and machine learning in public policy formulation.
Integrasi Artificial Intelligence dalam Manajemen Risiko Bencana Pemerintah Daerah: Peluang, Tantangan, dan Model Tata Kelola Adaptif Erfan Wahyudi; Lalu Ahmad Murdhani
Jurnal Perlindungan Masyarakat: Bestuur Praesidium Vol. 2 No. 2 (2025): September 2025
Publisher : IPDN Kampus NTB

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Abstract

This study aims to analyze the opportunities and challenges of integrating artificial intelligence into local government disaster risk management and to formulate an adaptive governance model that is accountable and ethical. This research employed a qualitative approach using a conceptual-analytical case study method. Data were collected through in-depth interviews, limited discussions, and document analysis of regulations, digital transformation policies, disaster management documents, and relevant academic publications. The data were analyzed thematically through data reduction, theme categorization, data presentation, interpretation, and model formulation. The findings reveal that AI offers strategic opportunities to support risk mapping, disaster prediction, early warning systems, vulnerability analysis, intervention prioritization, and rapid evidence-based decision-making. However, AI integration also faces serious challenges, particularly data fragmentation, data quality, algorithmic bias, black-box models, personal data protection, cross-agency coordination, and limited bureaucratic capacity. The main contribution of this study is the formulation of an adaptive AI governance model consisting of six components: integrated data governance, AI as a decision-support system, algorithmic accountability, cross-sectoral coordination, ethical and data protection safeguards, and continuous adaptive evaluation. This model positions AI as an instrument of public management to strengthen disaster risk reduction in a rapid, accountable, and ethical manner while remaining under meaningful human control.
Digital Transformation of Post-Disaster Public Service Management In Local Government: Evidence From East Lombok, Indonesia Mujahidin Mujahidin; Lalu Ahmad Murdhani; Marzuki Marzuki; Erfan Wahyudi; M. Amin
Journal of Governance Volume 11 Issue 2: (2026)
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jog.v11i2.39853

Abstract

This study aims to analyze the digital transformation of post-disaster public service management in East Lombok Regency, identify its enabling and constraining factors, and formulate optimization strategies to improve service effectiveness, transparency, and quality. The study employed a qualitative approach with an inductive orientation. Data were collected through semi-structured interviews, observation, and documentation involving seven informants, consisting of four government informants and three community informants. The findings indicate that digital transformation has progressed through the existence of 78 public service websites across 33 regional government agencies, the strengthening of digitally based administrative services, the establishment of the Public Service Mall, and the disaster-sector service platform managed by the East Lombok Regional Disaster Management Agency (BPBD). However, this digitalization remains more evident as an expansion of service channels than as an integrated post-disaster service workflow. Inter-agency coordination has developed, yet it has not matured into effective service orchestration. This study argues that the principal challenge of post-disaster digital transformation in public service delivery lies not in the absence of technology, but in the uneven development of process integration, organizational alignment, cultural adaptation, and institutional capacity. These findings underscore the need for cross-agency data and service integration, strengthened institutional governance, the development of hybrid service delivery models, and improved digital literacy and public trust in digital services
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 Hidayat, Ery Rizal Hoiriyah - I Made Yoga Jaya Kusuma Ifik Arifin Imran, Bahtiar Karim, Muh Nasirudin Karya Gunawan Karya Gunawan Lalu Ahmad Murdhani Lalu Ahmad Murdhani Lalu Delsi Samsumar, M.Eng. M Zulpahmi M. Amin M. Zulpahmi Makmun Baihaki Marzuki Marzuki Marzuki Maspaeni Maspaeni Moh Subli Moh. Subli Moh. Subli Muahidin, Zumratul Muhammad Masjun Efendi Muhammad Masjun Efendi Muhammad Rijal Alfian Muhammad Suhardi Muhammad Zohri Muhammad Zohri, Muhammad Mujahidin Mujahidin 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 Zaeniah Zaeniah Zaeniah Zulpahmi, M Zulpahmi, M.