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All Journal Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Scan : Jurnal Teknologi Informasi dan Komunikasi Jurnal Informatika dan Teknik Elektro Terapan Jurnal IPTEK Jurnal Sistem Informasi dan Bisnis Cerdas JURNAL INSTEK (Informatika Sains dan Teknologi) Prosiding Seminar Nasional Sains dan Teknologi Terapan JURNAL TEKNOLOGI DAN OPEN SOURCE Data Science: Journal of Computing and Applied Informatics Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal IJEEIT : International Journal of Electrical Engineering and Information Technology Applied Technology and Computing Science Journal Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Journal of Information Systems and Informatics Abdimas Universal bit-Tech Jurnal Teknologi Dan Sistem Informasi Bisnis Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) JATI (Jurnal Mahasiswa Teknik Informatika) International Journal of Advances in Data and Information Systems Jifosi Nusantara Science and Technology Proceedings KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Penelitian Inovatif Konstelasi: Konvergensi Teknologi dan Sistem Informasi PELS (Procedia of Engineering and Life Science) Journal of Artificial Intelligence and Engineering Applications (JAIEA) NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Mesin, Industri, Elektro dan Informatika Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII Jurnal Ilmiah Teknik Informatika dan Komunikasi Madani: Multidisciplinary Scientific Journal Scientica: Jurnal Ilmiah Sains dan Teknologi Student Research Journal Jurnal Informatika Polinema (JIP) Jurnal Ilmu Komputer dan Sistem Informasi Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Jurnal ilmiah teknologi informasi Asia Jurnal Ilmu Teknologi Informasi Indonesia (JITIFNA) Jurnal Pengabdian Masyarakat Multidisiplin
Amalia Anjani Arifiyanti
Universitas Pembangunan Nasional Veteran Jawa Timur
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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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Classification and Mapping of Online Gambling Based on News Articles Using NER and SVM Wisnu Mukti Darwansah; Amalia Anjani Arifiyanti; Rizka Hadiwiyanti
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.4707

Abstract

The phenomenon of online gambling in Indonesia has developed rapidly, posing serious social and economic threats. This thesis aims to classify and map online gambling activities based on digital news using the Support Vector Machine (SVM) algorithm and Named Entity Recognition (NER). Data were collected from the news portals Detik.com, Kompas.com, and Tribunnews from 2017 to 2024 through a web scraping approach. The research process included setup and library import, data upload, data exploration, data labeling according to Law No. 1 of 2023, data preprocessing, data filtering, location normalization and extraction, and location data cleaning. Subsequently, the SVM model was trained for risk classification and followed by prediction. Evaluation was conducted using accuracy and F1-score metrics to assess overall model performance and classification balance. Based on the evaluation results, the Normal SVM model demonstrated the best performance with an accuracy of 96.94% and an F1-score of 0.97. The findings indicate that the combination of NER and SVM effectively identifies the location and risk level of online gambling activities. This research is expected to contribute to law enforcement authorities and policymakers in their efforts to prevent and address online gambling activities in Indonesia.
Implementation of an Executive Information System for Thesis Document Submission with the Addition of AES-256-CBC Cryptography Algorithm Taqiyuddin Ahmad Al Aufa; Adriano Femaz Rivaldy; Amalia Anjani Arifiyanti; Agung Brastama Putra
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1803

Abstract

The rapid digitalization of higher education demands secure and efficient management of academic documents such as thesis submissions. This study aims to develop an Executive Information System (EIS) for Thesis Document Submission integrated with AES-256-CBC cryptographic security to ensure data confidentiality, integrity, and controlled access. The system is implemented as a web-based platform using the Laravel framework and MySQL database, where each uploaded thesis document is automatically encrypted, and only authorized users with a valid Master Key can decrypt it. The AES-256-CBC algorithm generates unique ciphertexts for every encryption process, supported by randomized Initialization Vectors and separate key management to prevent unauthorized access or data leakage. Furthermore, the EIS dashboard implements the drill-down method, presenting real-time analytical information. This allows academic leaders to navigate hierarchically from high-level summaries to specific, detailed data, enhancing their ability to monitor thesis submissions and make informed decisions effectively. The results indicate that the integration of cryptography and executive information management enhances both document security and administrative efficiency, providing a reliable and transparent solution for safeguarding academic data within higher education institutions.
Pelatihan dan Pendampingan E-Learning Berbasis Gamifikasi Menggunakan Moodle untuk Meningkatkan Kompetensi Guru Tri Puspa Rinjeni; Eristya Maya Safitri; Amalia Anjani Arifiyanti
JUPAMU: Jurnal Pengabdian Masyarakat Multidisiplin Vol. 1 No. 3: Mei 2026
Publisher : Ihsan Cahaya Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66031/jupamu.v1i3.296

Abstract

Rendahnya keterlibatan siswa dalam pembelajaran daring menjadi tantangan utama yang dihadapi oleh para pendidik di era digital. Pengabdian masyarakat ini bertujuan untuk meningkatkan kompetensi guru dalam merancang media pembelajaran yang interaktif melalui integrasi elemen gamifikasi pada platform e-learning Moodle. Metode pelaksanaan kegiatan dilakukan melalui enam tahapan sistematis, meliputi Focus Group Discussion (FGD), pelatihan teknis penggunaan Moodle, praktik perancangan gamifikasi, implementasi mandiri oleh guru, pendampingan berkelanjutan, hingga evaluasi kegiatan. Kegiatan ini melibatkan 31 guru sebagai peserta pendampingan. Hasil pengabdian menunjukkan bahwa integrasi fitur gamifikasi seperti sistem poin, level, leaderboard, dan badges efektif dalam mentransformasi e-learning menjadi media pembelajaran yang lebih menarik. Berdasarkan evaluasi kepuasan peserta, kegiatan ini memperoleh skor rata-rata sebesar 3,91 dari skala 4,00, dengan tingkat kepuasan tertinggi pada aspek kompetensi pemateri (3,94). Disimpulkan bahwa pelatihan ini berhasil meningkatkan kemampuan teknis dan pedagogis guru dalam memanfaatkan teknologi gamifikasi untuk menciptakan ekosistem pembelajaran digital yang partisipatif.
Detection of ARP Poisoning on Wireless LAN Using Machine Learning: Random Forest and AdaBoost Rafi Dhafin Ersamazaya; Amalia Anjani Arifiyanti; Dhian Satria Yudha Kartika
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3364

Abstract

ARP poisoning is a prevalent security threat in Wireless Local Area Networks (WLANs), enabling attackers to manipulate ARP tables and perform man-in-the-middle attacks. This study develops a machine learning-based detection system to identify ARP poisoning incidents in real-time, using Random Forest, AdaBoost, and a hybrid Random Forest-AdaBoost ensemble model. Data was collected from a public Wi-Fi environment in Surabaya, consisting of 11,225 ARP traffic records, augmented with simulated ARP poisoning attacks. Data preprocessing included exploratory analysis, feature engineering, encoding, and dataset balancing to improve model performance. Experimental results demonstrate that the hybrid ensemble model achieved the highest accuracy (99.92% on validation and 99.94% on testing), but its inference time of 517.30 ms rendered it unsuitable for real-time deployment. In contrast, the AdaBoost model achieved similar accuracy with significantly faster inference latency (7.82–14.93 ms), making it the most efficient model for live monitoring. The optimized AdaBoost classifier was then deployed through a Telegram-based alert system integrated with Scapy for continuous packet inspection and immediate attack notifications. This study contributes to the advancement of real-time intrusion detection mechanisms for WLAN environments by demonstrating the effectiveness of ensemble learning in ARP poisoning detection. Furthermore, it emphasizes the importance of balancing detection accuracy with computational efficiency for practical deployment in dynamic network environments. The findings offer insights into developing scalable, low-latency security solutions and lay the groundwork for future research on adaptive, real-time detection frameworks.
Co-Authors Abdul Rezha Efrat Najaf Achmad Fauzi Adriano Femaz Rivaldy Adriano Femaz Rivaldy Aghni Qisthina Al Rahma Agung Brastama Putra Akira Permata Ramadhani Al Rahma, Aghni Qisthina alathoillah, abdul hanif Ananda Lakunti A Andhyni, Cyntia Prisya Anggy Oktaviana Syafira Annisa Lusyani Zahra Anwar Sodik, Anwar Aprilia, Eka Fahira AryaRafa, Daud Audrey Septya Rosanti Bagus Utomo Basma Eno Ketherin Brahmantio Widyo Trenggono Daniar, Ivan Faiz Devi, Ditha Lozera Dewi Safitri, Triyatul Dharmawan, Ega Dhian Satria Yudha Kartika Diana Aqidatun Nisa Ditha Lozera Devi Elfaretta, Syifa Saskia Fachrurrozy Nurqoulby Fandi, Rico Satria Farel Ega Nurroyan Farhan Setiyo Darusman Farhan Setiyo Darusman Fariska, Rahmah Putri Ferdiansyah, Rizky Fernaldy, Fabiyan Atha Fidyah Salsabila Putri Sillehu Firsttama, Risav Arrahman Fitri, Anindo Saka Geovano Galan Widiatmoko Putra Hakiki, Primandika Heni Lusiana Dewi I Gusti Ayu Sri Deviyanti Iamho Pegodang Eltiuzy Indira Setia Amalia Indra Fajar Novian Ivan Faiz Daniar Jannatuzzahra, Khoirunisa Ketherin, Basma Eno Kusumantara, Prisa Marga Kusumantara, Prisa Marga M. Rizal Abdullah Rozi Mahanani, Anajeng Esri Edhi Marga Kusumantara, Prisa Marisca Amanda Hidayat Mashita Kustyani Maulana Arrasyid, Nizar Maulana Kharyska Abadi, Muhammad Mochamad Suhri Ainur Rifky Mochammad Fuad Pandji Mohamad Irwan Afandi Muhammad Burhanuddin F Muhammad Fawwaz Dhiaulhaq Hud Narendra, Efriza Cahya Nilwanda, Leona Elsa Novian, Indra Fajar Nur Rachman Nidhi Suryono, Muhammad Nurisa Rahma Shantika Nurjanti Takarini Oktania Purwaningrum Oktania Purwaningrum Oktania Purwaningrum Pandu Rizki Maulidiah Permatasari, Reisa Pradana, Rhendy May Putra, Satrio Honggonagoro Pramono Putri, Youlan Indira Putu Anggi Suryantari Rafi Dhafin Ersamazaya Rafi Purwa Syahputra Rahayu Kartika Sari Raihana Sakhi Aswanda Rendi Hardiartama Rendi Panca Wijanarko Rhendy May Pradana Rizka Hadiwiyanti Safitri, Eristya Maya Saka Fitri, Anindo Salma, Nabila Maudy Satria, Dhian Seftin Fitri Ana Wati Seftin Fitri Ana Wati3 Sembilu, Nambi Sidhi Pamekas, Afu Siti Oktavia Eka Putri Solehudin Al Ayyubi Sudewantoro N M Sulistyowati Sulistyowati Sulistyowati Sulistyowati Taqiyuddin Ahmad Al Aufa Taqiyuddin Ahmad Al Aufa Tri Diana Rimadhani Tri Luhur Indayanti Sugata Tri Puspa Rinjeni Ubaidillah Fahmi, Rohmat Wahyu Setiawan Wahyuni, Eka Dyar Wati , Seftin Fitri Ana Wati, Seftin Fitri Ana Wibisono, Mahendra Priyo Wibowo, Nur Cahyo Wisnu Mukti Darwansah Wulansari, Anita Yudha Yunanto Putra Yudha Yunanto Putra Zahra, Nabila Athifah