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All Journal Jurnal Ilmiah Kursor Scan : Jurnal Teknologi Informasi dan Komunikasi Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer InComTech: Jurnal Telekomunikasi dan Komputer JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JOISIE (Journal Of Information Systems And Informatics Engineering) Applied Technology and Computing Science Journal Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Informatika dan Rekayasa Elektronik bit-Tech JATI (Jurnal Mahasiswa Teknik Informatika) Jifosi Nusantara Science and Technology Proceedings Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Jurnal Informatika Dan Tekonologi Komputer (JITEK) Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Informatika Dan Tekonologi Komputer
Basuki Rahmat
Master Of Information Technology, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities 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 Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Social Sciences Other

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RANCANG BANGUN SISTEM SMART TRAFFIC LIGHT BERBASIS IOT UNTUK MEMPRIORITASKAN KENDARAAN DARURAT MENGGUNAKAN FUZZY TYPE-2 Alfi Ramadhaniar; Basuki Rahmat; Henni Endah Wahanani
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 11, No 1 (2026)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v11i1.7790

Abstract

Kemacetan lalu lintas di area perkotaan menjadi salah satu hambat-an utama bagi kendaraan darurat yang membutuhkan akses cepat untuk menyelamatkan nyawa atau menuju tempat terjadinya in-siden. Penelitian ini bertujuan merancang dan mengimplementasi-kan prototipe sistem smart traffic light berbasis Internet of Things (IoT) yang dapat memprioritaskan kendaraan darurat dengan mendeteksi suara sirine menggunakan sensor suara KY-037. Sistem ini dikendalikan oleh mikrokontroler Arduino Uno R3 ditambah dengan WiFi ESP8266 dan menggunakan metode Fuzzy Logic Type-2 untuk menangani ketidakpastian tingkat intensitas suara yang diterima sensor, serta menentukan durasi lampu hijau pada arah kendaraan darurat menggunakan delaytime. Selain itu, sistem dilengkapi dengan fitur kontrol manual berbasis aplikasi Blynk IoT untuk memungkinkan intervensi lampu lalu lintas secara langsung dalam situasi tertentu. Hasil pengujian menunjukkan bahwa sistem prototipe mampu mengidentifikasi suara sirine kendaraan darurat dan merespon dengan mengubah sinyal lampu lalu lintas menjadi hijau untuk memprioritaskan laju kendaraan darurat, serta kembali ke mode normal setelah kendaraan melintas. Sistem ini diharapkan dapat meningkatkan efisiensi layanan darurat dan mengurangi dam-pak dari kendaraan darurat yang terjebak kemacetan pada jalur per-simpangan.
Classification Of Cyber Attack And Anomaly In Web Server Using Transformer and Transfer Learning Edi Dwi Prasetyo; Basuki Rahmat; Anggraini Puspita Sari
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 7 No. 4 (2025): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v7i4.119

Abstract

Cybersecurity is a crucial aspect in maintaining the integrity and availability of information systems, especially on web servers which are vulnerable to various types of attacks and anomalies. This research aims to investigate the application of transfer learning in the classification of cyber attacks and anomalies on web servers. Transfer learning, a powerful deep learning approach, enables pre-trained models to adapt to new tasks with limited data, offering an efficient solution for detecting malicious activities and unusual patterns in web server logs. The goal is to improve detection accuracy while reducing the time and resources required to train models from scratch. This study uses a bi-layer classification approach with pre-trained Transformer models, RoBERTa and BERT, through transfer learning to detect cyber attacks and anomalies in web server log data. The process includes preprocessing the log data, extracting relevant features, and fine-tuning BERT to classify known attacks in the first layer, followed by RoBERTa in the second layer to detect unusual or unknown behaviors. Model performance is evaluated using accuracy, precision, recall, and F1-score, and results are compared with traditional deep learning methods like RoBERTa and BERT to highlight the advantages of this bi-layer transfer learning approach. The result of this proposed bi-layer classification method is improved performance in detecting cyber attacks and anomalies compared to using RoBERTa and BERT individually. By combining both models, the system is anticipated to achieve higher accuracy, better precision in identifying true threats, improved recall for detecting a wider range of attacks, and a more balanced F1-score. This layered approach leverages the strengths of both RoBERTa and BERT, enabling more robust and reliable threat detection, with reduced false positives and false negatives compared to single-model implementations. 
Perancangan Sistem Kendali Pompa Submersible Dengan Fuzzy Type-2 Berbasis IoT Dan Android Nafis Pratama Putra; Basuki Rahmat; Eka Prakarsa Mandyartha
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol. 15 No. 4 (2026): Agustus 2026
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v15i4.3764

Abstract

Rice, as a strategic commodity, faces major challenges due to climate change and the wasteful use of water in manual irrigation, which is only 30–50% efficient. This study developed a smart submersible pump irrigation system based on the Interval Type-2 Fuzzy Logic System (IT2FLS), integrated with the Internet of Things (IoT) and an android mobile application. The system uses an ESP32 microcontroller as the main control unit, soil moisture sensors, rain sensors, and Type-2 fuzzy logic processing on the server to generate automated decisions that are more robust against sensor data uncertainty. Testing was conducted on rice paddy fields. The test results showed that the system was able to save up to 38.7% in water usage and up to 38.6% in electricity compared to manual irrigation. The android application functioned well for real-time monitoring and remote control. This study proves that the integration of IT2FLS, IoT, and mobile applications can improve rice paddy irrigation efficiency and support the implementation of smart farming. Kata kunci: Interval Type-2 Fuzzy Logic; IoT; rice field irrigation; android app; submersible pump  Abstrak Padi sebagai komoditas strategis menghadapi tantangan besar akibat perubahan iklim dan pemborosan air irigasi manual yang efisiensinya hanya 30–50%. Penelitian ini mengembangkan sistem irigasi cerdas pompa submersible berbasis Interval Type-2 Fuzzy Logic System (IT2FLS) terintegrasi dengan Internet of Things (IoT) dan aplikasi mobile android. Sistem ini menggunakan mikrokontroler ESP32 sebagai unit kendali utama, sensor kelembapan tanah, sensor hujan, serta pemrosesan logika fuzzy tipe-2 pada server untuk menghasilkan keputusan otomatis yang lebih robust terhadap ketidakpastian data sensor. Pengujian dilakukan pada lahan sawah. Hasil pengujian menunjukkan sistem mampu menghemat penggunaan air hingga 38,7% dan listrik hingga 38,6% dibandingkan irigasi manual. Aplikasi android berfungsi dengan baik untuk monitoring real-time dan kontrol jarak jauh. Penelitian ini membuktikan bahwa integrasi IT2FLS, IoT, dan aplikasi mobile dapat meningkatkan efisiensi irigasi sawah serta mendukung implementasi smart farming. Kata kunci: Interval Type-2 Fuzzy Logic; IoT; irigasi sawah; aplikasi android; pompa Submersible
IOT PENGENDALIAN KEAMANAN PINTU RUMAH OTOMATIS MENGGUNAKAN E-KTP BERBASIS MIKROKONTROLER ESP32 Deri Setiawan; Basuki Rahmat; Wahyu SJ Saputra
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 3 No. 3 (2023): November : Jurnal Informatika dan Tekonologi Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v3i3.1991

Abstract

Internet of Things (IoT) is a concept that connects electronic devices to the internet and enables the exchange of data between these devices. In this context, this study aims to develop an automatic door security control system using an ESP32 microcontroller-based e-KTP. The proposed system uses e-KTP as a substitute for a physical key on the door of the house. e-KTP will be connected to the ESP32 microcontroller which acts as the brain of the system. Personal data from the e-KTP, such as identity numbers, will be stored securely and used for user authentication. The ESP32 microcontroller will communicate with the server using the WiFi protocol to send and receive data. Users will be able to access the door of the house wirelessly via a mobile application connected to the server. This mobile application will provide an intuitive user interface to control door access and view security status. This system is also equipped with various security features. In addition, users can also monitor home security in real-time through a mobile application, even when they are not at home.
Co-Authors Adhi Prasetya, Guntur ADJIE KURNIAWAN, RAKA Alfi Ramadhaniar Ananda Asa Firstha Affandi Andini Fitriyah Salsabilah Anggraeny, Fetty Anggraini Puspita Sari Avi Oktaviani B. Nugroho Daniella, Cherry Deri Setiawan Devan Cakra Mudra Wijaya Dody Pintarko Edi Dwi Prasetyo Eva Yulia Puspaningrum Faisal Muttaqin Faisal Muttaqin faisal, Faisal Fahri Ferdiansyah Fetty Tri Anggraeny Fina Amru Millati Handono, Stevanus Frangky Harianto Hariyanto Hariyanto Helmy Widyantara Henni Endah Wahanan Henni Endah Wahanani Hutama, Dhany Satya I Nyoman Sujana Ida Retno Moeljani Ifnu Wisma Dwi Prastya Iqbal Imani Khoirul Akbar Kartini Kartini Kartini Kartini Kartini Kesya Nursyahada Mada Lazuardi Nazilly Mandyartha, Eka Prakarsa Minto Waluyo Mohamad Irwan Afandi Muhammad Alfin Jimly Asshiddiqie Nafis Pratama Putra Naufal Mumtaz, Ahmad Nigel, Mortekiano Nugraha, Novemidu Wilis Nugroho, Budi Nurlaili, Afina Lina Prameswari Reksa Agami Putra, Chrystia Aji R MEHINDRA PRASMATIO Raka Adjie Kurniawan Retno Mumpuni Ridho Aji Pangestu Royan Hisyam Rafliansyah Sabrina Laila Sari Singgih Putra Pratama Singgih Putra Pratama Sudiyarto Syaifullah JS, Wahyu TATI NURHAYATI Taufik Nur Firmansyah Tuhu Agung Rachmanto Tuhu Agung Rachmanto Wahyu SJ Saputra Widjajani, Bhakti Wisnu Yovi Ibnu Nasikhin Yuniar Purbasari, Intan Yuniar, Intan