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All Journal International Journal of Electrical and Computer Engineering International Journal of Evaluation and Research in Education (IJERE) Farmasains : Jurnal Farmasi dan Ilmu Kesehatan Journal of Food and Pharmaceutical Science Dinamik Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Transmisi: Jurnal Ilmiah Teknik Elektro JURNAL SISTEM INFORMASI BISNIS Voteteknika (Vocational Teknik Elektronika dan Informatika) JTEV (Jurnal Teknik Elektro dan Vokasional ELKHA : Jurnal Teknik Elektro Jurnal Sistem Komputer TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Kursor Jurnal Algoritma Jurnal Teknologi Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Pseudocode Jurnal Computech & Bisnis (e-Journal) Jurnal Teknologi Informasi dan Ilmu Komputer Telematika Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika International Journal of Advances in Intelligent Informatics Scientific Journal of Informatics Seminar Nasional Informatika (SEMNASIF) Komunikator ICON-CSE CESS (Journal of Computer Engineering, System and Science) Proceeding SENDI_U Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Register: Jurnal Ilmiah Teknologi Sistem Informasi ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JOURNAL ONLINE OF PHYSICS JURNAL NASIONAL TEKNIK ELEKTRO KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Bulletin of Electrical Engineering and Informatics JOIN (Jurnal Online Informatika) Journal of Electrical Technology UMY Format : Jurnal Imiah Teknik Informatika Jurnal Teknologi dan Sistem Komputer Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Journal of Information Technology and Computer Science (JOINTECS) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JIKO (Jurnal Informatika dan Komputer) Bina Insani ICT Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control CogITo Smart Journal IT JOURNAL RESEARCH AND DEVELOPMENT Jurnal Sains dan Informatika Insect (Informatics and Security) : Jurnal Teknik Informatika JRST (Jurnal Riset Sains dan Teknologi) JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL REKAYASA TEKNOLOGI INFORMASI JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL INSTEK (Informatika Sains dan Teknologi) ILKOM Jurnal Ilmiah Compiler KACANEGARA Jurnal Pengabdian pada Masyarakat Jiko (Jurnal Informatika dan komputer) Journal of Science and Engineering MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JSiI (Jurnal Sistem Informasi) CYBERNETICS Krea-TIF: Jurnal Teknik Informatika JURIKOM (Jurnal Riset Komputer) Jurnal Teknik Elektro dan Komputer TRIAC Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Jurnal Ilmiah Mandala Education (JIME) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JSI (Jurnal sistem Informasi) Universitas Suryadarma Systemic: Information System and Informatics Journal Jurnal Pengabdian Kepada Masyarakat MEMBANGUN NEGERI Jurnal Mantik JISKa (Jurnal Informatika Sunan Kalijaga) Journal of Electronics, Electromedical Engineering, and Medical Informatics Buletin Ilmiah Sarjana Teknik Elektro RADIAL: JuRnal PerADaban SaIns RekAyasan dan TeknoLogi Mobile and Forensics Jurnal Informatika dan Rekayasa Perangkat Lunak Journal of Robotics and Control (JRC) Journal of Applied Engineering and Technological Science (JAETS) Jurnal Riset Rekayasa Elektro Respati Indonesian Journal of Electrical Engineering and Computer Science Journal of Computer System and Informatics (JoSYC) International Journal of Advances in Data and Information Systems JITU : Journal Informatic Technology And Communication Journal of Innovation Information Technology and Application (JINITA) Reswara: Jurnal Pengabdian Kepada Masyarakat TIN: TERAPAN INFORMATIKA NUSANTARA SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Teknik Informatika (JUTIF) JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Computer Science and Information Technology (CoSciTech) Journal Social Science And Technology For Community Service Jumat Informatika: Jurnal Pengabdian Masyarakat Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Algoritma Techno Jurnal Pengabdian Pada Masyarakat Amal Ilmiah: Jurnal Pengabdian Kepada Masyarakat SmartComp Journal of Food and Pharmaceutical Sciences Jurnal Informatika: Jurnal Pengembangan IT Jurnal Pengabdian Masyarakat Control Systems and Optimization Letters Emitor: Jurnal Teknik Elektro Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Jurnal Informatika Medis (J-INFORMED) Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Signal and Image Processing Letters Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) RADIAL: Jurnal Peradaban Sains, Rekayasa dan Teknologi Dedikasi Nusantara Jurnal Pengabdian kepada Masyarakat (DIASYA) Indonesian Journal on Learning and Advanced Education (IJOLAE) Jurnal Repositor Proceeding of Informatics Collaborations and Dessimenation Meeting (Infocoding)
Anton Yudhana
Universitas Ahmad Dahlan, Yogyakarta
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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RESEARCH ON SECURE VIRUS TROJAN IN CYBERSECURITY PLATFORM Ahmad Fajar Sidiq; Rusydi Umar; Anton Yudhana
JSI (Jurnal Sistem Informasi) Universitas Suryadarma Vol. 5 No. 2 (2018): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Fakultas Ilmu Komputer dan Desain - Unsurya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v5i2.247

Abstract

Security is main issue of this generation of computing because many types of attacks are increasing day by day. Establishing a network is not a big issue for network administrators but protecting the entire network is a big issue. There are various methods and tools are available today for destroying the existing network. In this paper we mainly emphasize on the network security also we present some major issues that can affect our network, Trojan horse virus can give rise to the leakage of internal data. Keywords:Security, Trojan Horse, System, Network.
Pengembangan dan Validasi Sistem Pemantauan Mikroklimat Real-Time Berbasis IoT sebagai Pendukung Evaluasi Kondisi Pengeringan Pascapanen pada Solar Dome Dryer Joko Riyanto; Anton Yudhana; Abdul Fadlil
TIN: Terapan Informatika Nusantara Vol 7 No 2 (2026): July 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i2.10165

Abstract

Continuous monitoring of temperature and humidity is necessary to evaluate the microclimate conditions that affect the drying performance of agricultural products in the Solar Dome Dryer. However, manual monitoring has not been able to provide real-time data, while previous research has largely focused on the implementation of devices without validating the measurements against standard measuring instruments under operational drying conditions. This research aims to develop a real-time microclimate monitoring system based on the Internet of Things to support the evaluation of post-harvest drying performance on the Solar Dome Dryer. The system was developed using the DHT22 sensor, ESP32 microcontroller, Wi-Fi connection, and cloud platform to display temperature and humidity data through a web-based and smartphone dashboard. Testing was conducted on the functions of acquisition, transmission, data visualisation, and sensor accuracy by comparing the measurement results with the standard measuring instrument UNI-T UT333. During the testing, the system was able to record and transmit microclimate data stably within the temperature range of 29.1–65.6 °C and relative humidity of 13.7–79.5% RH. In a limited test of 100 transmission cycles with a 10-minute interval, all data were successfully received by the server under network conditions during the testing. Validation using 50 pairs of data resulted in an MAE of 0.150 °C and an RMSE of 0.159 °C for temperature, as well as an MAE of 0.286% RH and an RMSE of 0.293% RH for humidity. The MAPE values were 0.34% and 0.92%, respectively. The contribution of this research is the development of a low-cost microclimate monitoring framework that integrates acquisition, transmission, storage, real-time visualisation, and statistical sensor validation under the operational conditions of the Solar Dome Dryer. The system can be used as a data source to support drying condition evaluations, with the limitation that accuracy validation above 60 °C has not yet been conducted using appropriate reference instruments.
Training on improving food products through the development of aloe vera-based products in Argomulyo Village, Sedayu, Bantul Anton Yudhana; Nur'Aini Purnamaningsih; Wiwiek Afifah; Novi Febrianti
Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Vol. 10 No. 1 (2026)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jpm.v10i1.15287

Abstract

The objective of this community service activity to increase the capacity of the community of Argomulyo Village, Sedayu, Bantul, to develop aloe vera-based food products, specifically aloe vera nata. The main problems faced by the community include the suboptimal utilization of aloe vera, the lack of processing technology, and a lack of understanding of good food production standards. The training was conducted through outreach, demonstrations on making aloe vera nata, and mentoring on sustainable production. Through these activities, participants gained knowledge about the nutritional content and economic potential of aloe vera, understood the principles of fermentation, and were able to produce aloe vera nata. Evaluation results showed an increase in participants' knowledge and skills in making aloe vera nata. This activity is expected to be the first step in strengthening the community's economy through innovative aloe vera products
ANALISIS ESTIMASI PENYAKIT TANAMAN TOMAT MENGGUNAKAN PENDEKATAN MACHINE LEARNING TINJAUAN PUSTAKA SISTEMATIS Faiz Rafdhi; Imam Riadi; Anton Yudhana
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 4 (2025): EDISI 26
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i4.6779

Abstract

Deteksi dini penyakit pada tanaman buah sangat penting untuk menjaga produktivitas dan mutu hortikultura. Keterlambatan mengenali gejala dapat menimbulkan kerugian signifikan, baik dari sisi panen maupun ekonomi petani. Kemajuan machine learning (ML) dan deep learning (DL) menawarkan solusi inovatif melalui diagnosis otomatis berbasis citra daun. Penelitian ini meninjau literatur secara sistematis menggunakan kerangka PRISMA untuk mengkaji dataset, performa model, keterbatasan, tren algoritma, serta arah penelitian selanjutnya. Dari 176 artikel, 50 lolos seleksi, dengan 35 fokus pada penyakit tanaman buah. Hasil kajian menunjukkan bahwa Convolutional Neural Network (CNN) dan variasinya masih mendominasi lebih dari 75% studi. Akurasi model sangat tinggi pada dataset laboratorium (95–99%), menurun pada data lapangan (in-the-wild) seperti PlantDoc (90–96%). PlantVillage tetap menjadi dataset utama, meski uji generalisasi menuntut data lapangan yang lebih beragam. Tantangan meliputi domain shift, class imbalance, keterbatasan label tingkat severitas, serta kendala implementasi di perangkat edge. Kontribusi ilmiah kajian ini berupa rekomendasi riset masa depan diarahkan pada pengembangan dataset lapangan standar, integrasi hybrid CNN–GCN, domain adaptation, data sintetik, segmentasi untuk estimasi severitas, serta Edge AI yang real-time dan dapat dijelaskan (explainable AI). Kajian ini menekankan pentingnya inovasi algoritmik, dataset realistis, dan integrasi IoT/edge untuk sistem diagnosis yang akurat, adaptif,  dan berkelanjutan.
Empowering pilgrims through digital literacy: Evaluating ritual understanding via mobile hajj applications at KBIHU Ahmad Dahlan Aris Rakhmadi; Susilo Hartono; Muchlas Muchlas; Anton Yudhana
KACANEGARA Jurnal Pengabdian pada Masyarakat Vol 9, No 1 (2026): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/kacanegara.v9i1.3059

Abstract

This community service initiative evaluates the impact of mobile applications, namely Haji Pintar–Satu Haji and Kawal Haji, in enhancing digital literacy and ritual understanding among pilgrims at KBIHU Ahmad Dahlan, Pringsewu. The program was implemented over a one-month period and involved participants engaging in mobile-based tutorials and mentoring activities designed to support comprehensive Hajj preparation. The learning materials focused on improving participants’ understanding of Hajj rituals while simultaneously strengthening their ability to use digital applications effectively. Survey results indicated that nearly all participants had access to Android smartphones, with 41.3% of respondents assessing their digital skills as “very good.” Among the available features, video tutorials were the most frequently accessed, accounting for 34.8% of usage, as they were perceived as clear and easy to understand. The majority of pilgrims reported improved comprehension of Hajj rituals after participating in the program. Despite these positive outcomes, several challenges were identified, including infrequent application usage, accessibility limitations for some users, and participant requests for offline learning content. Overall, the findings demonstrate the significant potential of mobile applications to support Hajj preparation through religious education and digital engagement. The study recommends further development through more inclusive application design, offline accessibility, and sustained digital engagement strategies to enhance the effectiveness of community outreach programs in religious education.
Penerapan Algoritma Random Forest Dan Support Vector Machine Untuk Deteksi Distributed Denial of Service (DDoS) Asep Ririh Riswaya; Abdul Fadlil; Anton Yudhana
Jurnal Pseudocode Vol 13 No 1 (2026): Volume 13 Nomor 1 Februari 2026
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.13.1.28-35

Abstract

Distributed Denial of Service (DDoS) attacks significantly threaten the availability of modern network services by overwhelming resources with malicious traffic. The increasing complexity of these attacks, including multi-vector and low-rate variants, reduces the effectiveness of traditional detection methods based on signatures and static rules. This study explores the effectiveness of Random Forest (RF) and Support Vector Machine (SVM) algorithms in detecting DDoS attacks using the CICDDoS2019 dataset, focusing on the impact of various decision threshold values on performance. The CICDDoS2019 dataset consists of 431,371 network traffic flows with 80 numerical features. Preprocessing involves eliminating null values, standardizing numerical attributes, and encoding labels into binary classifications of normal and DDoS traffic. The dataset is then divided into training and testing sets at a 70:30 ratio. Performance evaluation is done using a confusion matrix to calculate accuracy, precision, recall, and F1-score. Results show that both algorithms perform well, but Random Forest offers greater consistency, with a threshold of 0.5 achieving the best balance in metrics.
Perancangan Electronic Nose (E-Nose) untuk Analisis dan Klasifikasi Aroma Daging Menggunakan PCA dan LDA Muhammad Rizki Setyawan; Abdul Fadlil; Anton Yudhana
JITU Vol 10 No 1 (2026)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v10i1.2254

Abstract

Meat is a vital food commodity prone to adulteration through species mixing or chemical contamination such as formalin and borax. This study aimed to design and test an Electronic Nose (E-Nose) system for aroma pattern analysis and meat classification using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA). Samples included pure meat (beef, chicken, pork), mixed meat, and chemically contaminated meat. Aroma data were captured using an array of gas sensors sensitive to Volatile Organic Compounds (VOCs) and standardized prior to analysis. PCA reduced eight sensor features into three principal components explaining a total variance of 79.63%. PC1, PC2, and PC3 accounted for 46.10%, 20.58%, and 12.96% of variance, respectively, showing clustering patterns among samples with minor overlap. LDA provided clearer class separation with three discriminant components LD1, LD2, and LD3 explaining 77.13%, 16.63%, and 4.59% of between-class variance, totaling 98.34%. LD1 separated pure, mixed, and contaminated meat, LD2 distinguished variations due to contaminant type and species, and LD3 refined separation of similar classes. Classification evaluation achieved an overall accuracy of 82%. Most classes were well classified, while classes 1 and 10 experienced misclassification due to similar aroma patterns. The findings confirm that E-Nose combined with PCA and LDA is a rapid, non-destructive, and efficient method for detecting meat authenticity and adulteration, showing strong potential for food quality monitoring in the field
Optimasi Deteksi Hama Tanaman Melon Berbasis YOLOv9 Muhammad Immawan Aulia; Anton Yudhana; Sunardi
JITU Vol 10 No 1 (2026)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v10i1.2265

Abstract

Pest attacks are one of the main problems in melon cultivation, significantly impacting productivity and crop quality. Manual pest identification has limitations in terms of objectivity, consistency, and efficiency, especially in medium to large-scale agricultural fields. This study developed a computer vision-based visual detection system for melon pests by utilizing the YOLOv9 architecture and public datasets obtained from the Roboflow platform. The dataset used consisted of 1,198 images, divided into 879 training images, 131 validation images, and 188 test images. The model training process employed data augmentation techniques, generating three outputs per training example and adding noise up to 2.52% of pixels to enhance the model's resilience to visual variations. The research methodology included system architecture design, data preprocessing, model training, and performance evaluation using precision, recall, and mean Average Precision (mAP) metrics. The test results showed that the system achieved mAP@50 of 61.6%, with 56.9% precision and 58.8% recall, indicating adequate detection capability with good inference efficiency. Thus, the developed system has the potential to be used as an early detection mechanism for melon plant pests to support decision-making in precision agriculture.
Pengenalan Cyber Crime, Pinjaman Online (Pinjol), dan Cyber Bullying yang menjadi ancaman serius  bagi Siswa SMK Mambaul Falah Kudus Ahmad Ridwan; Widya Cholid; Wilda Rina Hasibuan; Anton Yudhana; Rusdi Umar
Jurnal Pengabdian kepada Masyarakat (DIASYA) Vol. 2 No. 2 (2026): Jurnal Pengabdian Kepada Masyarakat (DIASYA)
Publisher : Rumah Jurnal PT Citra Air Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71200/diasya.v2i2.261

Abstract

Perkembangan teknologi digital dan tingginya penggunaan internet di kalangan remaja memberikan manfaat bagi proses pembelajaran, komunikasi, dan akses informasi. Namun, kondisi tersebut juga meningkatkan kerentanan siswa terhadap kejahatan siber, cyber bullying, serta penyalahgunaan pinjaman online ilegal. Siswa SMK Mambaul Falah Kudus, khususnya yang terbiasa menggunakan perangkat digital dan media sosial, memerlukan edukasi yang tidak hanya bersifat teoritis, tetapi juga aplikatif agar mampu mengenali risiko dan menerapkan perilaku aman di ruang digital. Kegiatan Program Pemberdayaan Umat (PRODAMAT) ini bertujuan meningkatkan literasi digital siswa melalui edukasi cyber crime, pinjaman online, dan cyber bullying. Metode pelaksanaan meliputi observasi kebutuhan mitra, penyusunan materi, pre-test, penyampaian materi, diskusi studi kasus, praktik pengaturan keamanan akun digital, post-test, dan refleksi kegiatan. Peserta kegiatan adalah 30 siswa SMK Mambaul Falah Kudus. Hasil kegiatan menunjukkan peningkatan pemahaman peserta pada empat aspek utama, yaitu pemahaman cyber crime dari 55% menjadi 83%, cyber bullying dari 58% menjadi 86%, pinjaman online ilegal dari 50% menjadi 84%, dan keamanan digital dari 56% menjadi 85%. Peserta juga mampu mempraktikkan pengaturan privasi, two factor authentication, pemblokiran akun mencurigakan, serta langkah pelaporan ketika mengalami ancaman digital. Kegiatan ini menunjukkan bahwa edukasi literasi digital berbasis kasus dan praktik langsung dapat meningkatkan kesadaran siswa dalam menggunakan internet secara aman, bijak, dan bertanggung jawab.
CLUSTERING KEJADIAN GEMPA BUMI DARAT DI WILAYAH DAERAH ISTIMEWA YOGYAKARTA DAN SEKITARNYA DENGAN ALGORITMA K-MEANS Karyanti, Wiji; Yudhana, Anton; Murinto, Murinto
JOURNAL ONLINE OF PHYSICS Vol. 11 No. 3 (2026): JOP (Journal Online of Physics) Vol 11 No 3
Publisher : Prodi Fisika FST UNJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jop.v11i3.55347

Abstract

Berdasarkan pada fakta, Daerah Istimewa Yogyakarta (DIY) dan sekitarnya merupakan salah satu wilayah di Indonesia yang rentan terhadap kejadian gempa bumi darat. Pemahaman yang lebih baik tentang pola spasial gempa bumi sangat penting untuk mitigasi bencana dan perencanaan wilayah. Data gempa bumi yang melimpah memerlukan pendekatan analitis yang canggih untuk mengidentifikasi klaster-klaster kejadian gempa bumi yang mungkin memiliki karakteristik berbeda. Penelitian terdahulu telah menggunakan berbagai algoritma clustering (pengelompokan) seperti K-Medoid, K-Means, DBSCAN, Fuzzy C-Mean, dan lain-lain dengan menggunakan dataset gempa bumi dalam cakupan yang luas misal Indonesia atau Pulau Sumatera. Penelitian ini menggunakan algoritma K-Means dengan dataset gempa bumi dalam wilayah yang lebih sempit yaitu gempa bumi darat di wilayah Yogyakarta. Tujuan dari penelitian ini adalah untuk mengidentifikasi dan menganalisis klaster-klaster kejadian gempa bumi darat di wilayah DIY dan sekitarnya menggunakan metode K-Means untuk mengungkapkan pola spasial yang tersembunyi. Metode yang akan digunakan meliputi pengumpulan data gempa bumi historis, pra-pemrosesan data, penerapan algoritma K-Means, serta interpretasi dan validasi hasil pengelompokan dengan Silhoutte Score. Dari hasil penelitian diperoleh jumlah klaster terbaik adalah k=3 dengan nilai Silhoutte Score 0.6369 yang menunjukkan klaster terpisah secara baik.Tiga klaster tersebut yaitu klaster 0 meliputi wilayah Kab. Gunungkidul bagian timur dan Kab. Klaten bagian barat; klaster 1 meliputi wilayah Kab. Bantul bagian barat, Kab. Sleman bagian tengah dan barat, Kab. Kulon Progo, dan Kab. Purworejo bagian timur; klaster 2 meliputi wilayah Kab. Bantul bagian tengah dan timur, Kab. Gunungkidul bagian barat, dan Kab. Sleman bagian timur
Co-Authors Aang Anwarudin Abd. Rasyid Syamsuri Abdillah, Muhamad Aznar Abdul Azis Abdul Djalil Djayali Abdul Fadil Abdul Fadil Abdul Fadlil Abdul Fadlil Abdul Fadlil Abe, Tuska Achmad Ridwan Ade Firli Ansyori Agung Dwi Nugroho, Agung Dwi Agus Jaka Sri Hartanta Agustin Rafikasari Ahmad Azhar Kadim Ahmad Ikrom Ahmad Ikrom Ahmad Ridwan Ahmad Syahril Mohd Nawi Ahmadi, Ahwan Akhwandi, Dasef AKRIMA, ASRA Alameka, Faza Alameka, Faza alders paliling Aldi Bastiatul Fawait Fawait Alfian Ma’arif Alin Khaliduzzaman Aminuyati Andhy Sulistyo Andiko Putro Suryotomo Andri Pranolo Anggara Ibnu Sidharta Anom Wahyu Asmorojati Anshori, Ikhwan Anton Satria Prabuwono Anwar Siswanto Anwarudin, Aang Any Guntarti Ardiansyah, Ricy Arief Setyo Nugroho Aris Rakhmadi Asep Ririh Riswaya Ashari, Irvan Asno Azzawagama Firdaus Asra Akrima Astika AyuningTyas, Astika Aulia, Aulia Aznar Abdillah, Muhamad Azrul Mahfurdz Balza Achmad Bella Okta Sari Miranda Belly Apriansyah Bintang, Rauhulloh Noor budi putra Budi Setianto, Arif Bulaka, Bardan Cahya Subrata, Arsyad Choirul Fajri Cucut Hariz Pratomo Darso, Muhammad Daryono Daryono Dasef Akhwandi Deni Murdiani Denny Yoga Pratama Dewi Eko Wati Dian Nova Kusuma Hardani Didi Siprian Djou, M Rosyidi Dwi Susanto Dwi Susanto Dwi Susanto Dzakarasma Tazakka Ma’arij Edi Ismanto Eka Rahmat B Eko Prianto Eko Prianto, Eko Elvina, Ade Fadil, Abdul Fadlil, Abdul Fadlillah Mukti Ayudewi Fadlillah Mukti Ayudewi Fahrizal Djohar Fakhri, La Jupriadi Fathoni, Listya Febri Fatma Nuraisyah, Fatma Faza Alameka Faza Alameka Febryansah, M. Iqbal Fitrah Juliansyah Fitri Anggraini Fitri Anggraini, Fitri Fitriyanto, Rachmad Furizal Furizal Furizal, Furizal Galih Pramuja Inngam Fanani H, Hermansa Habibah, Nurina Umy Habsah Hasan Hadi Sasongko, Hadi Halil, Nur Ihsan Hanif, Abdullah Hanif, Kharis Hudaiby Hartanta, Agus Jaka Sri Hartono, Susilo Haruno Sajati Helmiyah, Siti Herman Herman Herman Herman Herman Herman Herman Yuliansyah Herman Yuliansyah, Herman Hermansa Hero Wintolo Herwindo Rahadian Hidayat, Lalu Amam Hikmatyar Insani Himawan I Azmi Igo Putra Pratama Iif Alfiatul Mukaromah Ikhsan Sugianto Ikhsan Zuhriyanto Ikhsan Zuhriyanto Ikhsan Zuhriyanto Ikhwan Anshori Ikrom, Ahmad Ilham Mufandi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Intan Puspitasari Ivan Triyatno Jafri Din Jaka Dernata Jaka Dernata Jaka Jendri Joko Riyanto Juliansyah, Fitrah Kalbuadi, Dimas Baskoro Kartika Firdausy Karyanti, Wiji Kaspul Anwar Kawarul Hawari Ghazali Kgs Muhammad Rizky Alditra Utama Kgs Muhammad Rizky Alditra Utama Khalif, Fajar Al Khoir, Syaiful Amrial Khoirul Anam Dahlan Kintung Prayitno, Kintung Kitagawa, Kodai Kurniawan, Gusti Chandra Kusuma , Damar Yoga Lestari, Agung Tri Listya Febri Fathoni Liya Yusrina Sabila Luh Putu Ratna Sundari Lutfatul Kholifah M Rosyidi Djou M. Rosyidi Djou Mahsun Mahsun Mardi Sugama Marlina Mustafa, Marlina Maulana, Irvan Mawadati, Siti Mawarni, Syifa’ah Setya Mega Reski4, Julia Mhd. Basri Miftahuddin Fahmi Miftahus Surur, Miftahus Miko Wardani Mitra Adhimukti Moch. Nasheh Annafii Mohammad Faiq Badruz Zaman Muchamad Kurniawan Muchlas Muchlas, Muchlas Mudinillah, Adam Muflih, Ghufron Zaida Muh. Fadli Hasa Muhamad Caesar Febriansyah Putra Muhamad Caesar Febriansyah Putra, Muhamad Caesar Febriansyah Muhamad Fahrul Reza Muhamad Rosidin Muhammad Aris Fajar Ilmawan Muhammad Darso Muhammad Irfan Pure Muhammad Jundullah Muhammad Kunta Biddinika Muhammad Kunta Biddinika Muhammad Miftahul Amri Muhammad Noor Fadillah Muhammad Noor Fadillah Muhammad Nur Faiz Muhammad Nur Faiz Muhammad Rizki Setyawan Muhammad Sabiq Dzakwan Muhammad Sabiq Dzakwan Muhammad, Khairul Muis, Alwas Mukaromah, Iif Alfiatul Multika Untung Bahagiya Murinto Murinto Mushab Al Barra Mushlihudin Mushlihudin Mushlihudin Mushlihudin Mushlihudin, Mushlihudin Mushlihudin, Mushlihudin Musliman, Anwar Siswanto Nathalie Japkowicz Novi Febrianti Novitasari, Putri Rachma Nuraeni, Eneng Nurina Umy Habibah Nurwijayanti Nuryana, Zalik Nuryono Satya Widodo Ockhy Jey Fhiter Wassalam Permadi, Adi Peryanto, Ari Phisca Aditya Rosyady Pratama, Denny Yoga Pratama, Genta Pratama, Gilang Ariya PRATAMA, IGO PUTRA prayudi, Andi Prianto, Eko Prihatmadi, Farhan Adyaqsa Priyatno Priyatno Purnamaningsih, Nur Aini Puspa Ira Dewi Candra Wulan Putra, Aji Surya Kurniawan Putra, Marta Dwi Darma Putra, Satriya Dwi Putri, Dadva Pramesty Etsria Rachmad Fitriyanto Rachmad Very Ananda Saputra Raden Mohamad Herdian Bhakti Rafal Drezewski Raja Bidin Raja Hassan Ramadhani, Muhammad Ramdhani, Rezki Rani Rotul Muhima Rauhulloh Ayatulloh Khomeini Noor Bintang Renangga Yudianto Reski, Julia Mega Resmi Aini Retnosyari Septiyani Reza, Muhamad Fahrul Rezki Ramdhani Ridho Ikhram Ridho Ikhram Riski Yudhi Prasongko Rivai, Zulki Yanto Rizky Andhika Surya Rosalia Setia Nursanti Rosyady, Phisca Aditya Ruly Erwin AfanDika Rumagia, Yusril Rusdi Umar Rusydi Umar Rusydi Umar Rusydi Umar Rusydi Umar S, Sunardi Sabarudin Saputra Saberi Mawi Sabila, Liya Yusrina Safiq Rosad Sahta, Bobo Saifullah, Shoffan Samadri Samadri Saputra, Candra Deska Saputra, I Gede Purwana Edi saputro, tahap Sarjimin, Sarjimin Satriya Dwi Putra Sefindra Purnama Seno Aji Putra Septa, Frandika Septiyani, Retnosyari Septiyawan Rosetya Wardhana Sharipah Salwa Mohamed Shoffan Saifullah Sidharta, Anggara Ibnu Sidiq, Ahmad Fajar Sigit Wijaya Silmina, Esi Putri Siswaya Siswaya Siswaya, Siswaya Siti Hajar Son Ali Akbar sri suharti Sri Suharti Subandi, Rio Sudaryanto Sudaryanto Sulistyo, Andhy Sunardi Sunardi - Sunardi - Sunardi Sunardi sunardi sunardi Sunardi, Sunardi Suwanti Suwanti Suyadi Suyadi Syafiqoh, Ummi Syahid Al Irfan Syahrani Lonang Syed Abdullah Syinta Brata Tarisno Amijoyo Tiara Widyakunthaningrum Tole Sutikno Tri Rochmadi Tri Wahono Tugiman Tugiman Umar, Rusydi Ummi Syafiqoh Utama, Kgs Muhammad Rizky Alditra Utama, Kiagus Muhammad Rizky Aditra W, Yunanri Wahidah Mahanani Rahayu Wahyu Prawoto Wahyu Sapto Aji Wardani, Miko Wicaksono Yuli Sulistyo Wicaksono Yuli Sulistyo Widhianto, Trisno Widya Cholid Widya Cholid Wahyudin Wijaya, Setiawan Ardi Wilda Rina Hasibuan Wilda Rina Hasibuan Wilis Kaswijanti Windra Putri, Anggi Rizky Wintolo, Hero Wisnu Dwi Haryanto Wiwiek Afifah Yudianto, Renangga Yuli Rahmawati Yusril Rumagia Zeehaida Mohamed