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All Journal Jurnal Informatika dan Teknik Elektro Terapan Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Nasional Komputasi dan Teknologi Informasi JETL (Journal Of Education, Teaching and Learning) MAJAMATH: Jurnal Matematika dan Pendidikan Matematika Jurnal Pendidikan Teknologi Informasi dan Vokasional JATI (Jurnal Mahasiswa Teknik Informatika) Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Sistem Informasi dan Sistem Komputer Jurnal Ilmiah Wahana Pendidikan Journal of Software Engineering, Information and Communication Technology Bulletin of Information Technology (BIT) Jurnal Informasi Sains dan Teknologi (ISAINTEK) Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Informatika Progres Blend Sains Jurnal Teknik Journal of Education Technology Information Social Sciences and Health Golden Ratio of Data in Summary Jurnal Umum Pengabdian Masyarakat (JUPEMAS) Journal of Informatics and Data Science (J-IDS) Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Ilmiah Sistem Informasi Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK)
Dedy Kiswanto
Universitas Negeri Medan
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Neuroscience Nursing Public Health Social Sciences Transportation Other

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Journal : Jurnal Informatika Progres

 1 
RANCANG BANGUN MODEL KONTROL AKSES DINAMIS BERBASIS KONTEKS PADA ARSITEKTUR ZERO TRUST Vega S. Meliala, Ruth Amelia; Kiswanto, Dedy; Harahap, Salsa Nabila; Dly, Revidamurti
PROGRESS Vol 18 No 1 (2026): April
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56708/progres.v18i1.500

Abstract

The rapid development of digital systems and interconnected environments has created new challenges in securing data. Traditional perimeter-based security models are no longer adequate to protect sensitive information from internal and external threats. This study proposes the design and implementation of a Context-Based Dynamic Access Control Model within the Zero Trust Architecture (ZTA) framework. The proposed system integrates contextual authentication, adaptive risk evaluation, and a dynamic policy engine to implement more granular access control in multi-user web applications. The prototype was developed using Node.js, Express.js, and MySQL, featuring multi-factor authentication, contextual verification via OTP, session management, and security notifications.The test results indicate that the system is capable of detecting changes in access context, enforcing re-authentication, and recording all user activities for auditing and anomaly detection purposes. The integration of contextual authentication, adaptive access control, and Zero Trust principles has been proven to enhance data protection and user accountability without reducing system usability..
IMPLEMENTASI SISTEM LOGIN WEB BERBASIS ZTA DENGAN INTEGRASI OTP BREVO DAN CAPTCHA Gulo, Steven Adventino; Kiswanto, Dedy; Arifin, Muhammad Hidayatul; Aulia, Windy
PROGRESS Vol 18 No 1 (2026): April
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56708/progres.v18i1.501

Abstract

Keamanan autentikasi pada sistem web merupakan komponen penting dalam menjaga kerahasiaan dan integritas data pengguna dari berbagai ancaman siber seperti brute force, phishing, dan serangan bot. Penelitian ini mengimplementasikan sistem login web berbasis Zero Trust Architecture (ZTA) yang diintegrasikan dengan One-Time Password (OTP) Brevo serta Google reCAPTCHA untuk memperkuat proses verifikasi identitas pengguna. Prinsip dasar “never trust, always verify” diterapkan agar setiap permintaan akses divalidasi secara menyeluruh tanpa adanya asumsi kepercayaan terhadap pengguna. Sistem dikembangkan menggunakan bahasa pemrograman web dengan dukungan basis data MySQL dan diuji melalui serangkaian uji fungsional, performa, serta keamanan. Hasil pengujian menunjukkan bahwa kombinasi ZTA, OTP Brevo, dan reCAPTCHA secara signifikan meningkatkan keamanan proses login dengan membatasi percobaan akses berulang, mencegah serangan otomatis dari bot, serta menekan potensi login ilegal. Selain itu, penerapan enkripsi kata sandi dan pembatasan waktu OTP terbukti meningkatkan keandalan autentikasi berlapis. Berdasarkan hasil percobaan, sistem yang dikembangkan dinilai lebih tangguh, adaptif, dan efisien dalam menghadapi ancaman siber modern tanpa mengurangi kenyamanan pengguna.
PENINGKATAN AKURASI DETEKSI DINI KEBAKARAN BERBASIS IOT MENGGUNAKAN ALGORITMA RANDOM FOREST Meliala, Ruth Amelia Vega S; Kiswanto, Dedy; Sianipar, Freyro Dobry; Lubis, Fauzan Azima
PROGRESS Vol 18 No 1 (2026): April
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56708/progres.v18i1.516

Abstract

Fire is one of the most frequent disasters and poses a significant risk to human safety, environmental sustainability, and property due to delayed early detection. This study aims to design and implement an early fire warning system based on the Internet of Things (IoT) enhanced with Machine Learning to improve detection accuracy and reliability. The system utilizes an ESP32 microcontroller as an edge node integrated with a DHT11 sensor for temperature and humidity, an MQ-2 sensor for gas and smoke concentration, and a flame sensor for fire detection. Multisensor data are transmitted in real time to a Flask-based server via the HTTP protocol and processed using a Random Forest classification model to determine environmental conditions as either safe or fire-hazardous. The classification results are displayed on a web-based dashboard and accompanied by automatic notifications delivered through a Telegram bot. Experimental results show that the proposed system achieves a detection accuracy of 94%, a low false positive rate, and a notification latency of less than 3 seconds, based on experiments conducted using a dataset of 3000 samples with an 80:20 split between training and testing data.The integration of IoT and Machine Learning demonstrates superior performance compared to conventional threshold-based methods, making the system a promising preventive solution for fire risk mitigation in residential and industrial environments.
Co-Authors Abdi Azzaki G, Fikri Abid Syuja, Muhammad Adidtya Perdana, Adidtya Adventino Gulo, Steven Afiati Nasution, Nadrah Afiq Alghazali Lubis Afrrahman S. Effendi, Ali Agi Berutu, Iwan Ahmad Fahrezi, Bryan Akbar, Muhammad Budi Al-Kautsar, Muhammad Zidane Alfin, Muhammad Alvansyah, Oka Amanah, Fadilla Andreas Sinabariba, Ade Anggraini Yolandari, Nezza Ardani Achmad Arifin, Muhammad Hidayatul Ashillah, Salma Asro Harahap, Fatimah Audy Priscilia, Selfi Aulia Artika, Delvita Aulia, Windy Auzi, Sybil Azima Lubis, Fauzan Azis, Khildan Rifail Azis, Zainal Azzahra, Dita Putri Berutu, Iwan Agi Bonifasius Simbolon, Aldo Br Hutagalung, Fhadillah Citra Hasiana Rajagukguk, Gloria Davina, Sherly Dealva Arsyad, Thania Defi, Aqilah Defiyanti, Aqilah Dewi Lestari Dly, Revidamurti Drilanang, Mhd Ilyasyah Dwi Febrianti, Bunga Evanthe, Hansel Evanthe, Hansel Valent Farezi, Nazwar Fitra, Muhammad Rizki Andrian Gaol, Anwar Shaleh Lbn Gulo, Steven Adventino Hafika, Rizky Ananda Hafiz, Alvin Halawa, Sovantri Putra Paskah Hanafiah Hanafiah Harahap, Fatima Asro Harahap, Salsa Nabila Hasibuan, Muhammad Alby Savana Hasibuan, Najwa Latifah Hatoguan, Idris Putra Henrydunan, John Bush Heppy Ria Sibarani, Ronasip Hermawan Syahputra Hidayat, M Fauzan Human Sukma, Ayman Hutabarat, Felix John Pardamean Hutagalung, Fhadillah Br Ichwanul Muslim Karo Karo Insan Pratama Siagian, Raihan Jehian, Neysa Talitha Jibran Muzakki Khan, Adhevta Josua Pinem Juliana Silalahi, Feby Khoiriah, Najwatul Latifah Hasibuan, Najwa Lubis, Ardilla Syahfitri Lubis, Fauzan Azima M.Pd., Zulherman Malau, Mei Lammi Manik, Albert Ramadhan Manik, Kristin Impana Maulida Surbakti, Nurul Meliala, Ruth Amelia Vega S Melly Br Bangun Muhammad Agus Syaputra Lubis Muslim Sinaga, Rizal Musyaafa, Muhammad Naufal Nababan, Sirus Daniel Nababan, Sirus Daniel Haholongan Nasution, Adzkia Nasution, Afifah Naila Nasution, Aurela Khoiri Nasution, Siti Ananda Nezza Anggraini Yolandari Noor, Muhammad Yazid Nurul Maulida Surbakti Panggabean, Suvriadi Parapat, Gerhard Hasangapon Pebiana Putri, Fahra Prana Walidin, Adamsyach Pratama, Ega Purba, Jogi Putra Paskah Halawa, Sovantri Putri Handayani Simbolon, Agata Putri Syaifullah, Sarah Putri, Fahra Pebiana Putri, Rezkya Nadilla Rabiah Adawi Raffi Akbar Tanjung, Muhammad Rajagukguk, Gloria Citra Hasiana Ramadhani, Fanny Rifail Azis, Khildan Rizki Andrian Fitra, Muhammad S., Yohana Lorinez Safitri, Eli Safrida Napitupulu Sapta Warman Zai, Tri Sembiring, Febe Gracia Shaleh Lbn Gaol, Anwar Siagian, Raihan Insan Pratama Sianipar, Freyro Dobry silalahi, evelyn keisha Silalahi, Feby Juliana Simanullang, Paskah Abadi Sinaga, Rizal Muslim Singgam, Pritiy Siregar, Dean Siregar, Ririn Amelia BR Sitanggang, Yoseph Christian Sitepu, Ahmad Denil Sitepu, Keysa Shifa Adwitia Siti Mamduhah siti wulandari Sitohang, Yuda Advis Ambrosius Situmorang, Romatua SM Sidabutar, Yusiva Sri Dewi Sukma, Ayman Human Suryaningsih, Embun Syahri, Alfin Syukron, Ananda Irya Shakila Talitha Jehian, Neysa Tambunan, Vivielda Farmawaty Tua Halomoan Harahap, Tua Halomoan Valentino, Bob Vega S. Meliala, Ruth Amelia Vincentius Manurung, Enriko Wahyudi, Rizky Wardhana, Riyan Waruwu, Stefen Agus Yusuf Al-Hafiz, Ahmad Zai, Tri Sapta Warman Zidane Al-Kautsar, Muhammad Zulfahrizan, Atta Zulfi, M. Fikri