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All Journal International Journal of Electrical and Computer Engineering ComEngApp : Computer Engineering and Applications Journal JURNAL SISTEM INFORMASI BISNIS JTEV (Jurnal Teknik Elektro dan Vokasional Techno.Com: Jurnal Teknologi Informasi Jurnal Buana Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Informatika Jurnal Sarjana Teknik Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Teknik Elektro CommIT (Communication & Information Technology) Jurnal Ilmiah Kursor Jurnal Informatika 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) ELINVO (Electronics, Informatics, and Vocational Education) Annual Research Seminar INFORMAL: Informatics Journal Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Register: Jurnal Ilmiah Teknologi Sistem Informasi Proceeding of the Electrical Engineering Computer Science and Informatics Edu Komputika Journal Format : Jurnal Imiah Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research RABIT: Jurnal Teknologi dan Sistem Informasi Univrab SISFOTENIKA Journal of Information Technology and Computer Science (JOINTECS) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Emerging Science Journal INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JIKO (Jurnal Informatika dan Komputer) AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat JURNAL MEDIA INFORMATIKA BUDIDARMA JIEET (Journal of Information Engineering and Educational Technology) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control CogITo Smart Journal IT JOURNAL RESEARCH AND DEVELOPMENT Insect (Informatics and Security) : Jurnal Teknik Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL REKAYASA TEKNOLOGI INFORMASI Abdimas Dewantara PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL INSTEK (Informatika Sains dan Teknologi) ILKOM Jurnal Ilmiah Compiler Jiko (Jurnal Informatika dan komputer) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JSiI (Jurnal Sistem Informasi) CYBERNETICS Digital Zone: Jurnal Teknologi Informasi dan Komunikasi IJID (International Journal on Informatics for Development) J-SAKTI (Jurnal Sains Komputer dan Informatika) JURIKOM (Jurnal Riset Komputer) Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Jurnal Mantik NUKHBATUL 'ULUM : Jurnal Bidang Kajian Islam Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JISKa (Jurnal Informatika Sunan Kalijaga) Buletin Ilmiah Sarjana Teknik Elektro Indonesian Journal of Business Intelligence (IJUBI) bit-Tech Mobile and Forensics Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Jurnal Pengabdian Masyarakat Bumi Raflesia Cyber Security dan Forensik Digital (CSFD) Jurnal Abdi Insani JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) International Journal of Advances in Data and Information Systems Journal of Innovation Information Technology and Application (JINITA) Journal of Education Informatic Technology and Science Jurnal Bumigora Information Technology (BITe) Jurnal Teknologi Informatika dan Komputer SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal REKSA: Rekayasa Keuangan, Syariah dan Audit Jurnal Teknik Informatika (JUTIF) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) Phasti: Jurnal Teknik Informatika Politeknik Hasnur Jurnal Pengabdian Masyarakat Indonesia Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EDUTECH : Jurnal Inovasi Pendidikan Berbantuan Teknologi J-SAKTI (Jurnal Sains Komputer dan Informatika) Decode: Jurnal Pendidikan Teknologi Informasi Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Informatika Teknologi dan Sains (Jinteks) Techno Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Engineering Science Letter Journal of Novel Engineering Science and Technology Jurnal Informatika: Jurnal Pengembangan IT Jurnal Software Engineering and Computational Intelligence Mohuyula : Jurnal Pengabdian Kepada Masyarakat Scientific Journal of Informatics semanTIK Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika JOCHAC Journal of Soft Computing Exploration
Imam Riadi
Department Of Information Systems - Universitas Ahmad Dahlan
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Public Health Social Sciences Other

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Mobile Forensic of Vaccine Hoaxes on Signal Messenger using DFRWS Framework Imam Riadi; Herman Herman; Nur Hamida Siregar
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 21 No. 3 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v21i3.1620

Abstract

The COVID-19 pandemic is one of the factors that has increased the use of social media. One of the negative impacts of using social media is the occurrence of cybercrime. The possibility of cybercrime can also happen on one of the social media platforms, such as the Signal Messenger application. In the investigation process, law enforcement needs mobile forensic methods and appropriate forensic tools so that the digital evidence found on the perpetrator's smartphone can be accepted by the court. This research aims to get digital evidence from cases of spreading the COVID-19 vaccine hoaxes. The method used in this research is a mobile forensics method based on the Digital Forensic Research Workshop (DFRWS) framework. The DFRWS framework consists of identification, preservation, collection, examination, analysis, and preservation. The results showed that the MOBILedit tool could reveal digital evidence in the form of application information and contact information with a performance value of 22.22%. Meanwhile, Magnet AXIOM cannot reveal digital evidence at all. The research results were obtained following the expected research objectives.
Anomaly Detection in Cloud Device-Based Information Technology Infrastructure Using Isolation Forest Algorithm ., Andi Zulherry; Imam Riadi; Rusydi Umar
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 2 (2026): Issues January 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Cloud device-based information technology infrastructure generates large volumes of operational data that are dynamic and heterogeneous, increasing the complexity of monitoring and anomaly detection processes. Conventional rule-based approaches and supervised learning methods are often less effective due to limited labeled data and their inability to detect newly emerging anomaly patterns. Therefore, this study aims to apply and evaluate the Isolation Forest algorithm as an anomaly detection method for cloud device-based information technology infrastructure. The research data consist of system and network performance metrics, including CPU usage, memory utilization, disk activity, and network traffic collected from a cloud environment. The research stages include data preprocessing, normalization, and feature selection to improve data quality and model performance. The Isolation Forest algorithm is implemented using an unsupervised learning approach, where anomalies are identified based on the algorithm’s ability to isolate data points that exhibit characteristics deviating from the majority of normal data. Model performance is evaluated using a confusion matrix with accuracy, precision, recall, and F1-score metrics, while parameter optimization is conducted using the grid search method to obtain the best configuration. The results indicate that the Isolation Forest algorithm is able to detect anomalies effectively, achieving high accuracy and a good balance between precision and recall. The model with optimal parameters demonstrates improved performance by reducing detection errors compared to the baseline configuration. Thus, the Isolation Forest algorithm can serve as a reliable and scalable solution to support monitoring activities and enhance the reliability of cloud infrastructure.
Workshop Literasi Digital dan Keamanan Informasi Bagi Guru dan Siswa SMA Negeri 1 Sedayu Riadi, Imam; Shalihah, Fithriatus; Prasetyaningrum, Putri Taqwa; Robiin, Bambang
Mohuyula : Jurnal Pengabdian Kepada Masyarakat Vol 4, No 2 (2025): Desember
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/mohuyula.4.2.42-50.2025

Abstract

Perkembangan teknologi digital yang pesat menuntut peningkatan literasi digital dan kesadaran akan keamanan informasi di kalangan generasi muda, khususnya di tingkat SMA. Tujuan dari kegiatan pengabdian ini adalah untuk memberikan pelatihan mengenai literasi digital dan keamanan informasi kepada guru dan siswa SMA Negeri 1 Sedayu. Metode yang digunakan dalam pelatihan ini adalah pendekatan workshop interaktif yang meliputi ceramah, diskusi, dan simulasi praktis. Materi yang disampaikan mencakup pengenalan terhadap literasi digital, ancaman siber seperti phishing dan malware, serta cara melindungi data pribadi di dunia maya. Hasil dari kegiatan ini menunjukkan peningkatan signifikan dalam pemahaman peserta mengenai cara melindungi informasi pribadi dan mengenali ancaman siber. Berdasarkan evaluasi menggunakan pre-test dan post-test, peserta mengalami peningkatan pengetahuan mengenai literasi digital dan keamanan informasi, dengan 100% peserta mampu mengidentifikasi ancaman siber setelah pelatihan. Pelatihan ini juga berhasil meningkatkan kesadaran peserta tentang bahaya kejahatan siber, seperti cyberbullying, serta langkah-langkah pencegahan yang dapat dilakukan. Kesimpulannya, pelatihan ini berhasil mencapai tujuannya dalam meningkatkan pemahaman dan keterampilan peserta dalam menghadapi tantangan dunia digital. Diharapkan pelatihan ini dapat menjadi model untuk kegiatan serupa di sekolah lain, guna menciptakan lingkungan digital yang lebih aman dan bijak di kalangan generasi muda.
Analisis Efektivitas Pelatihan Kecerdasan Artifisial untuk Peningkatan Kompetensi Guru dalam Pengembangan Media Kreatif Sutikno, Tole; Ayuningtyas, Astika; Riadi, Imam; Winiarti, Sri; Rochmadi, Tri; Rosad, Safiq
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 4 (2025): Edisi Oktober - Desember
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v6i4.7546

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan menganalisis efektivitas pelatihan pemanfaatan teknologi kecerdasan buatan (Artificial Intelligence/AI) dalam meningkatkan kompetensi guru, khususnya dalam pengembangan media pembelajaran kreatif. Pelatihan dilaksanakan di SMA Negeri 7 Yogyakarta dengan melibatkan guru-guru dalaliterasiemaparan teori dan praktik langsung menggunakan berbagai platform AI, seperti ChatGPT, Canva AI, serta generator gambar dan video berbasis AI. Evaluasi dilakukan melalui pre-test dan post-test untuk mengukur perubahan kemampuan peserta sebelum dan sesudah pelatihan. Hasil analisis menunjukkan peningkatan rata-rata skor dari 5,95 menjadi 9,50, yang menandakan adanya peningkatan signifikan pada aspek pengetahuan, keterampilan, dan sikap guru dalam menerapkan AI. Guru mampu menghasilkan media pembelajaran digital yang lebih interaktif dan relevan dengan kebutuhan siswa. Temuan ini menunjukkan bahwa pelatihan AI berperan penting dalam meningkatkan literasi teknologi guru sekaligus mendukung transformasi digital di lingkungan pendidikan menengah.
Penerapan Digital Forensic Research Workshop Framework pada Layanan Virtual Machine Asruddin, Asruddin; Riadi, Imam; Umar, Rusydi
Journal of Information System Research (JOSH) Vol 7 No 2 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i2.9034

Abstract

ICMP flooding is a denial-of-service attack that overwhelms a target with high-rate ICMP packets, degrading service availability. End-to-end network forensic reporting from identification to evidence presentation remains limited. This study applies the Digital Forensic Research Workshop (DFRWS) process model - Identification, Preservation, Collection, Examination, Analysis, and Presentation - to investigate ICMP flooding in a controlled virtualized environment. Primary artifacts consist of baseline PCAPs (5 runs) and attack PCAPs (5 runs) analyzed using capinfos to extract capture duration (T), packet count (N), average et rate (pps), and file size. Results indicate that the baseline traffic (normal system activity in the VM laboratory) at 9 pps over 58.91 s with approximately 66 kB file size, while attack traffic reaches 2,000 pps over 6.39 s with an average file size of approximately 18.2 MB. Comparison of both conditions yields a packet-rate amplification of F = 2000/9 = 222× and a file-size increase of approximately 280× (18.2 MB versus 66 kB). The extreme pps spike observed during the attack condition reflects a volumetric attack pattern that operationally correlates with resource exhaustion and reduced service availability, indicating that the PCAP artifacts support not only statistical anomaly detection but also event-level evidence of a denial-of-service incident. All attack runs exceed 1,000 pps (5/5; 100%), and all baseline runs remain stable at 9 pps (5/5; 100% [1]), indicating consistent volumetric evidence. Preservation procedures using read-only storage and SHA-256 hashing ensure artifact integrity and traceability, thereby supporting the admissibility of the PCAPs as valid digital evidence in controlled virtual machine experiments.
PENERAPAN PRESENSI DARING BERBASIS WEBASSEMBLY DAN MICROSERVICES UNTUK PENGENALAN WAJAH PADA LEARNING MANAGEMENT SYSTEM Sismadi, Wawan; Riadi, Imam; Murinto, Murinto
EDUTECH : Jurnal Inovasi Pendidikan Berbantuan Teknologi Vol. 6 No. 2 (2026)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia (P4I)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/edutech.v6i2.9474

Abstract

The demand for reliable, real-time online attendance systems capable of handling large-scale users continues to increase alongside the widespread adoption of Learning Management Systems (LMS) in higher education and online training. Conventional attendance methods based on manual input or simple authentication mechanisms suffer from weaknesses such as susceptibility to fraud, limited automation, and degraded performance under high workloads. Face recognition has emerged as a promising alternative, as it enables automatic and non-intrusive user identity verification. However, most face-based attendance systems still rely on centralized server-side processing, which leads to high latency and limited scalability. This study aims to design and evaluate an online attendance architecture that integrates WebAssembly and Microservices by separating computational workloads between the client and server. The Design Science Research method is employed to develop a web-based face attendance application as the research artifact, in which face detection and feature extraction are executed entirely on the client side using OpenCV.js compiled to WebAssembly, while authentication, attendance recording, and session management are handled by a Microservices-based backend. The evaluation includes face recognition accuracy testing, end-to-end latency measurement, and system throughput analysis. Experimental results demonstrate that the proposed architecture reduces attendance latency by approximately 72 percent compared to a monolithic server-side processing approach, while simultaneously increasing request handling capacity without compromising accuracy. These findings indicate that the integration of WebAssembly and Microservices constitutes an effective architectural solution for real-time biometric attendance systems. ABSTRAKKebutuhan akan sistem presensi daring yang andal, real-time, dan mampu menangani skala pengguna besar terus meningkat seiring dengan meluasnya penggunaan Learning Management System (LMS) dalam pendidikan tinggi dan pelatihan daring. Metode presensi konvensional berbasis input manual maupun autentikasi sederhana memiliki kelemahan berupa potensi kecurangan, keterbatasan otomatisasi, serta performa yang menurun pada kondisi beban tinggi. Pengenalan wajah menjadi solusi alternatif yang menjanjikan karena mampu memverifikasi identitas pengguna secara otomatis dan non-intrusif. Namun, sebagian besar sistem presensi berbasis wajah masih bergantung pada pemrosesan terpusat di sisi server, yang mengakibatkan latensi tinggi dan keterbatasan skalabilitas. Penelitian ini bertujuan merancang dan mengevaluasi arsitektur presensi daring berbasis integrasi WebAssembly dan Microservices dengan pendekatan pemisahan beban komputasi antara klien dan server. Metode Design Science Research digunakan untuk mengembangkan artefak berupa aplikasi presensi wajah berbasis web, di mana proses deteksi dan ekstraksi fitur wajah dijalankan sepenuhnya di sisi klien menggunakan OpenCV.js yang dikompilasi ke WebAssembly, sedangkan autentikasi, pencatatan presensi, dan manajemen sesi ditangani oleh backend berbasis Microservices. Evaluasi dilakukan melalui pengujian akurasi pengenalan wajah, pengukuran latensi end-to-end, dan analisis throughput sistem. Hasil pengujian menunjukkan bahwa arsitektur yang diusulkan mampu menurunkan latensi presensi sekitar 72 persen dibandingkan pendekatan monolitik berbasis pemrosesan server, sekaligus meningkatkan kapasitas penanganan permintaan tanpa mengorbankan tingkat akurasi. Temuan ini menunjukkan bahwa integrasi WebAssembly dan Microservices merupakan solusi arsitektural yang efektif untuk sistem presensi biometrik real-time.
Forensik Digital Cyberbullying pada Grup WhatsApp Menggunakan National Institute of Standards and Technology Widiandana, Panggah; Sunardi, Sunardi; Riadi, Imam
Insect (Informatics and Security): Jurnal Teknik Informatika Vol. 12 No. 01 (2026): Maret 2026
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/insect.v12i01.5275

Abstract

Cyberbullying on instant messaging platforms such as WhatsApp is a serious problem due to its psychological impact on victims and the difficulty of obtaining valid digital evidence. This study aims to analyze and uncover digital evidence of cyberbullying in WhatsApp groups using digital forensic methods based on the National Institute of Standards and Technology (NIST) framework, which includes the stages of collection, examination, analysis, and reporting. The research object was simulated WhatsApp conversation data obtained through a logical acquisition process on an Android device. Acquisition and analysis were performed using the digital forensic tools Autopsy, SQLite Viewer, and Cellebrite UFED. The research stages were carried out by simulating a cyberbullying case, and the simulation results were then acquired using the NIST stages. The data studied in the group consisted of 243 messages. The results showed that the NIST method was able to identify important digital artifacts in the form of conversation databases and user metadata, as well as reveal 77 messages containing elements of cyberbullying, consisting of 39 verbal insults, 25 taunts, and 14 derogatory comments. Data integrity verification was performed using SHA-256 hash values, which showed consistency before and after the extraction process, thus fulfilling the principle of forensic soundness. These findings prove that the application of NIST-based digital forensic methods is effective in supporting cyberbullying investigations on WhatsApp groups and is relevant for use in academic, legal, and cybersecurity contexts.
Classification of Pineapple Disease Types Using the VGG16 and EfficiennetB7 Model Approaches: Classification Ediansa, Oka; Riadi, Imam; Murinto, Murinto
Insect (Informatics and Security): Jurnal Teknik Informatika Vol. 12 No. 01 (2026): Maret 2026
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/insect.v12i01.5292

Abstract

Penyakit pada buah nanas merupakan salah satu faktor utama penyebab penurunan kualitas hasil panen dan kerugian ekonomi bagi petani. Identifikasi penyakit secara manual seringkali tidak akurat karena subjektivitas pengamat. Penelitian ini bertujuan untuk mengklasifikasikan jenis penyakit pada buah nanas menggunakan pendekatan Deep Learning dengan membandingkan dua arsitektur populer, yaitu VGG16 dan EfficientNetB7. Dataset yang digunakan berjumlah 215 citra yang terbagi ke dalam empat kelas: Busuk Pangkal, Bercak Hitam, Busuk Inti Buah, dan Nanas Sehat. Karena keterbatasan jumlah data, teknik Transfer Learning dan augmentasi data diterapkan untuk meningkatkan performa model. Hasil penelitian menunjukkan bahwa EfficientNetB7 memberikan performa yang lebih unggul dibandingkan VGG16 dengan akurasi validasi sebesar 89,25%, precision 88,50%, dan f1-score 88,20%. Sementara itu, VGG16 mencapai akurasi validasi sebesar 84,50%. Meskipun EfficientNetB7 membutuhkan waktu komputasi yang lebih lama per epoch, keunggulannya dalam mengekstraksi fitur kompleks pada tekstur kulit nanas menjadikannya model yang lebih ideal untuk sistem deteksi penyakit tanaman. Penelitian ini diharapkan dapat menjadi rujukan dalam pengembangan teknologi otomasi pertanian untuk meningkatkan efisiensi penanganan penyakit pascapanen nanas.
Header investigation for spam email forensics using framework of national institute of standards and technology Mustafa, Mustafa; Riadi, Imam; Umar, Rusydi
ILKOM Jurnal Ilmiah Vol 13, No 2 (2021)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v13i2.849.163-167

Abstract

Today's technology makes communication very easy and can be used anywhere, even a distance of hundreds to thousands of kilometres is not a barrier in communicating. One of the tools or media that is widely used is via email. However, there are many disadvantages that may be obtained from the email, one of which is spamming or mail. The purpose of this research is to know the stages of spamming email analysis through header analysis. The method used in this study is the National Institute of Standards and Technology (NIST) and this method uses 4 stages, namely collection, examination, analysis, and reporting. The results of this study are expected to be able to find out the spam sender's email address, the spam email sender's IP address, and other information needed.
Determining Eligible Villages for Mobile Services using K-NN Algorithm Yudhana, Anton; Riadi, Imam; Djou, M Rosyidi
ILKOM Jurnal Ilmiah Vol 15, No 1 (2023)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v15i1.1546.11-20

Abstract

To maximize and get population document services closer to the community, the Disdukcapil district of Alor provides mobile services by visiting people in remote villages which difficult-to-reach service centres in the city. Due to a large number of villages and limited time and costs, not all villages can be served, so the kNN algorithm is needed to determine which villages are eligible to be served. The criteria used in this determination are village distance, difficulty level, and document ownership (Birth Certificate, KIA, family card, and KTPel). The classes that will be determined are "Very eligible", "Eligible", and "Not eligible". By applying Z-Score normalization with the value of K=5, the classification gets 94.12% accuracy, while non-normalized only gets 88.24% accuracy. Thus, applying normalization to training data can improve the kNN algorithm's accuracy in determining eligible villages for "ball pick-up" or mobile services.
Co-Authors ., Andi Zulherry Abdul Fadlil Abdul Fadlil Abdullah Hanif Abdullah Hanif Abe, Tuska Achmad Nugrahantoro Achmad Syauqi Ade Elvina Adhi Prabowo, Basit Adiniah Gustika Pratiwi Agung Wahyudi Agus Wijayanto Ahmad Azhar Kadim Ahmad Azhari Ahmad Luthfi Ahmad, Muhammad Sabri Aini, Fadhilah Dhinur Ainunna’imah Akbar, Zulfikri Al Amany, Sarah Ulfah Alawi, Hanna Syahida Alfian Ma’arif Andrianto, Fiki Anggara, Rio Annisa, Putri Anshori, Ikhwan Anton Yudahana Anton Yudhana Anton Yudhana ANWAR, FAHMI anwar, nuril Apriliani, Evinda Aprilliansyah, Deco Ardi Pujiyanta Arif Rahman Arif Rahman Arif Wirawan Muhammad Arif Wirawan Muhammad Arif Wirawan Muhammad Ariqah Adliana Siregar Arizona Firdonsyah Asno Azzawagama Firdaus Asruddin, Asruddin Astika AyuningTyas, Astika Aulia, Aulia Aulyah Zakilah Ifani Bahagiya, Multika Untung Bashor Fauzan Muthohirin Basir, Azhar Bernadisman, Dora Budi Barata Kusuma Utami Budin, Shiha Busthomi, Iqbal Chandra Kurniawan, Gusti D.E Purwadi Putra, Izzan Julda Davito Rasendriya Rizqullah Putra Davito Rasendriya Rizqullah Putra Deco Aprilliansyah Dewi Astria Faroek Dewi Estri Jayanti Dikky Praseptian M Djou, M Rosyidi Dwi Aryanto Eddy Irawan Aristianto Ediansa, Oka Eko Brillianto Eko Handoyo Eko Handoyo Elfatiha, Muhammad Ihya Aulia Elvina, Ade Ervin Setyobudi Fadhilah Dhinur Aini Fadhilah Dhinur Aini Fadlil , Abdul Fahmi Anwar Fahmi Auliya Tsani Faiz , Muhammad Nur Faiz Isnan Abdurrachman Fakhri, La Jupriadi Fanani, Galih Farid Suryanto Fatmawaty, Virdiana Sriviana Fauzan Natsir Fauzan, Fauzan Firdonsyah, Arizona Fithriatus Shalihah Fitri, Fitriyani Tella Fitriyani Tella Furizal Furizal, Furizal Galih Fanani Galih Pramuja Inngam Fanani Guntur Maulana Zamroni Guntur Maulana Zamroni, Guntur Maulana Habie, Khairul Fathan Hafizh, Muhammad Nasir Hanif, Abdullah Harman, Rika Haryanto, Eri Helmiyah, Siti Herman Herman Herman Herman Herman Yuliansyah Herman Yuliansyah Herman Yuliansyah Herman Yuliansyah, Herman Hidayati, Anisa Nur Himawan I Azmi Iis Wahyuningsih Ikhsan Zuhriyanto Ikhwan Anshori Imroatul Khuluqi Izzah Iqbal Busthomi Irhas Ainur Rafiq Irhash Ainur Rafiq Islamey, Reyhanssan Iwan Tri Riyadi Yanto, Iwan Tri Riyadi Jamalludin Jamalludin Jamalludin, Jamalludin Jayawarsa, A.A. Ketut Joko Handoyo Joko Triyanto Kariyamin, Kariyamin Kartoirono, Suprihatin Kurniawan, Endang Kurniawan, Gusti Chandra Kusuma, Ridho Surya Laura Sari Luh Putu Ratna Sundari M. Rosyidi Djou M.A. Khairul Qalbi Mahsun Mahsun Maulana, Irvan Mega Fatimah Rosana Merita Arini Miladiah Miladiah Miladiah, Miladiah Muammar Muammar, Muammar Muchlas Muchlas Muflih, Ghufron Zaida Muh. Hajar Akbar Muhajir Yunus Muhamad Abduh, Muhamad Muhamad Caesar Febriansyah Putra, Muhamad Caesar Febriansyah Muhammad Abdul Aziz Muhammad Abdul Aziz Muhammad Fahmi Mubarok Nahdli Muhammad Faqih Dzulqarnain, Muhammad Faqih Muhammad Fauzan Gustafi Muhammad Ihya Aulia Elfatiha Muhammad Irwan Syahib Muhammad Kunta Biddinika Muhammad Muhammad Muhammad Nur Faiz Muhammad Yanuar Efendi Muhammad Zulfadhilah Muhammad ‘Arif Bin Mohamad Muis, Alwas Murinto Murinto Murinto Murni Murni Murti, Raden Hario Wahyu Mushab Al Barra Mustafa Mustafa Mustafa Mustafa NANNY, NANNY Nasrulloh, Imam Mahfudl Nasution, Dewi Sahara Nia Ekawati, Nia Novianti, Dian Nur Faiz, Muhammad Nur Hamida Siregar Nur Miswar Nur Widiyasono, Nur Nuril Anwar Nuril Anwar, Nuril Nurmi Hidayasari Panggah Widiandana Prabowo, Basit Adhi Pradana Ananda Raharja Prakoso, Danar Cahyo Prambudi, Rizal Prambudi Prasetyaningrum, Putri Taqwa Prasongko, Riski Yudhi Purwaningrum, Santi Purwanto Purwanto Purwono Purwono Purwono, Purwono Purwono, Purwono Putra, Marta Dwi Darma Putri Annisa Putro, Aldibangun Pidekso Raden Hario Wahyu Murti Raden Mohamad Herdian Bhakti Rafiq, Irhash Ainur Rahmat Ardila Dwi Yulianto Ramadhani, Erika Ramansyah Ramansyah Rauli, Muhamad Ermansyah Rauli, Muhamad Ermansyah Ridho Ikhram Ridho Surya Kusuma Rio Anggara Rio Widodo Rivai, Zulki Yanto Riyanarto Sarno Rizal Prambudi Robiin, Bambang Rochmadi, Tri Roni Anggara Putra Rudy Ansari, Rudy Ruslan, Takdir Rusydi Umar Rusydi Umar Rusydi Umar Ruuhwan Ruuhwan Safiq Rosad Sahiruddin Sahiruddin Salim, Mansyur Santi Purwaningrum Sari, Laura Shiha Budin Sismadi, Wawan Sri Mulyaningsih Sri Winiarti Sri Winiarti Sri Winiati St Rahmatullah Sudinugraha, Tri Sugandi, Andi Suhartono, Bambang Sukma Aji Sunardi Sunardi - Sunardi Sunardi sunardi sunardi Sunardi, Sunardi Suprihatin Suprihatin Suprihatin Suprihatin Suprihatin Supriyanto Syaefudin, Rizal Syahib, Muhammad Irwan Syahida Alawi, Hanna Syahrani Lonang Syarifudin, Arma Taufiq Ismail Taufiq Ismail Tawar Tawar Tohari Ahmad Tole Sutikno Tri Lestari Tri Lestari Triyanto, Joko Umar, Rusdy Veithzal Rivai Zainal Verry Noval Kristanto W, Yunanri Wahyusari, Retno Wardiwiyono, Sartini Wasito Sukarno Weni Hawariyuni, Weni Wicaksono Yuli Sulistyo Wicaksono Yuli Sulistyo Widiandana, Panggah WIDODO, RIO Winiati, Sri Wintolo, Hero Wisnu Pranoto Yana Mulyana Yana Mulyana Yana Safitri, Yana Yudi Kurniawan Yudi Kurniawan Yudi prayudi Yulian Wahyu Permadi Yuliansyah, Herman Yuliansyah, Herman Zein, Wahid Alfaridsi Achmad