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All Journal Abdi Jurnal Publikasi OKTAL : Jurnal Ilmu Komputer dan Sains MULTIPLE: Journal of Global and Multidisciplinary IPSSJ
Ahmad Musyafa
Unknown Affiliation
Religion Humanities Astronomy Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Pengembangan Sistem Absensi Siswa Berbasis Internet Of Things Menggunakan Fingerprint Dengan Integrasi Api Whatsapp Di SMA PGRI 83 Legok Kabupaten Tangerang Megi Saputra; Makhsun; Ahmad Musyafa
urn:multiple://2988-7828multiple.v3i54
Publisher : Institute of Educational, Research, and Community Service

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Abstract

Teknologi Internet of Things (IoT) telah memberikan dampak yang signifikan dalam berbagai aspek kehidupan, termasuk dalam dunia pendidikan. Di dalam lingkungan sekolah, penting untuk memiliki sistem absensi yang efisien dan akurat untuk memantau kehadiran siswa. Oleh karena itu, dalam penelitian ini, kami merancang dan mengembangkan aplikasi Absensi siswa yang memanfaatkan teknologi sidik jari berbasis IoT untuk mengelola absensi siswa di SMA PGRI 83 Legok. Metode yang digunakan dalam penelitian ini melibatkan beberapa tahap pengembangan sistem, yaitu analisis kebutuhan, perancangan sistem, implementasi, dan evaluasi. Pada tahap analisis kebutuhan, kami mengidentifikasi masalah dalam proses absensi manual yang saat ini digunakan di SMA PGRI 83 Legok. Kemudian, kami merancang sistem absensi berbasis IoT yang mengintegrasikan teknologi sidik jari dengan jaringan komputer yang ada di sekolah. Implementasi aplikasi Absensi siswa dilakukan dengan membangun infrastruktur IoT yang terdiri dari sidik jari sensor, server, dan perangkat lunak. Siswa dapat melakukan absensi dengan menempelkan sidik jari mereka pada sensor yang terhubung dengan server melalui jaringan. Data absensi siswa yang diperoleh disimpan dalam database untuk keperluan pengolahan dan pelaporan. Evaluasi aplikasi dilakukan dengan melibatkan siswa di SMA PGRI 83 Legok. Hasil evaluasi menunjukkan bahwa aplikasi absensi siswa mampu meningkatkan efisiensi dan akurasi proses absensi, mengurangi kesalahan manusia, serta memudahkan pengelolaan data absensi. Selain itu, penerapan teknologi sidik jari juga memberikan tingkat keamanan yang lebih tinggi dalam sistem absensi.
Analisis Performa Sistem Deteksi Intrusi pada Jaringan IoT Menggunakan Ensemble Learning dan Decision Tree Kamaludin Jumaidi; Arya Adhyaksa Waskita; Ahmad Musyafa
Integrative Perspectives of Social and Science Journal Vol. 2 No. 2 April (2025): Integrative Perspectives of Social and Science Journal
Publisher : PT Wahana Global Education

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Serangan siber, terutama Distributed Denial of Service (DDoS), mengancam keamanan jaringan Internet of Things (IoT). Penelitian ini menganalisis performa sistem deteksi intrusi menggunakan ensemble learning (LightGBM, XGBoost, CatBoost) Decision Tree dan Random Forest pada dataset CIC-BCCC-NRC TabularIoTAttack-2024, yang mencakup serangan seperti DDoS TCP Flood, MITM ARP Spoofing, dan Reconnaissance Scan. Proses melibatkan pra-pemrosesan dengan SMOTE untuk menyeimbangkan kelas dan seleksi fitur menggunakan SHAP. Tantangan utama adalah deteksi kelas Recon Port Scan dan Recon OS Scan akibat tumpang tindih fitur. Hasil menunjukkan Ensemble mencapai akurasi 99,21%, F1-score 99,21%, dan log loss 0,0672, diikuti LightGBM sebagai model tunggal dengan akurasi 97,58% dan log loss 0,0795. Decision Tree memiliki akurasi (86,48%) terendah dibanding model lain akibat overfitting. LightGBM lebih efisien (inference time 292,43 detik) dibandingkan Ensemble (891,04 detik), menjadikannya solusi optimal untuk deteksi serangan IoT. 
Implementasi IoT Menggunakan Mikrokontroler NodeMCU ESP8266 Dalam Mengotomatisasi Mesin Untuk Penampungan Air Jaka Sutresna; Fitri Yanti; Ahmad Musyafa
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 4 No 08 (2025): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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The rapid development of Internet of Things (IoT) technology provides significant opportunities for creating intelligent, efficient, and adaptive automation systems, especially for domestic applications. One of these implementations includes automated water storage management and remote control of household electrical devices such as lighting systems. This research aims to design and implement a web-based automatic water tank control and lighting management system utilizing the NodeMCU ESP8266 microcontroller and ultrasonic sensors (HC-SR04). The ultrasonic sensor accurately measures the real-time water level inside the tank. Meanwhile, NodeMCU ESP8266 functions as a central controller that processes sensor data and establishes Wi-Fi connectivity for communication with a web platform developed using the XAMPP server, PHP, and MySQL. The designed system employs a hybrid operation mode combining automatic pump control based on sensor readings and manual lighting control through a responsive web interface. The testing results demonstrate that the system operates with high accuracy, exhibiting a sensor measurement error of approximately ±2 cm and system response times of less than 1 second. Additionally, testing of the communication stability between NodeMCU and the web platform indicated reliable and consistent connectivity without significant interruptions. The developed system offers ease of management, effective energy and water efficiency, and aligns with an innovative, adaptive, and flexible smart living concept suitable for various scenarios in modern household environments.
THE PERFECTION OF CHATGPT IN MAKING FAST-ACCURATE REPORTS OF STUDENTS AT SMK PARUNG Taswanda Taryo; Ahmad Musyafa; Uliyatunisa
Abdi Jurnal Publikasi Vol. 4 No. 1 (2025): September
Publisher : Abdi Jurnal Publikasi

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ChatGPT is an artificial intelligence (AI) system that can interact with users through a conversational format. Anyone can use ChatGPT to read and understand the contents of files or enter questions into the ChatGPT interface, allowing the AI ​​to analyze and answer questions on various topics. The ChatGPT training program for Parung Vocational High School (SMK) was conducted to improve students' digital literacy and writing skills. Amid rapid technological advances, the integration of artificial intelligence (AI) into the learning process has become an urgent need. Through this activity, participants were introduced to ChatGPT as a digital aid that can be used to compile report outlines, improve spelling and sentence structure, and enrich written/report content quickly, precisely, and accurately. The workshop was designed based on hands-on practice, where students were trained to actively use ChatGPT features in completing their academic assignments and vocational projects. Evaluation of the activity showed that students improved their understanding of how to write reports that were coherent, logical, and adhered to writing standards. Furthermore, students became more confident and confident in expressing their ideas in writing. With this approach, the workshop not only strengthened academic skills but also taught the responsible and beneficial use of AI technology in vocational education.
Co-Authors Arya Adhyaksa Waskita Fitri Yanti Jaka Sutresna Kamaludin Jumaidi Makhsun Megi Saputra Taswanda Taryo Uliyatunisa