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Rancang Bangun Sistem Pendeteksi Kebakaran Otomatis Menggunakan Sensor Berbasis Arduino Muhammad Fauzan Rizky Maulana; Yunita Yunita; Presa Taruna Oliver
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 2 (2025): April 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i2.8983

Abstract

Abstrak - Kebakaran merupakan salah satu bencana yang dapat menyebabkan kerugian besar, baik dari segi materi maupun keselamatan jiwa. Untuk meminimalkan risiko tersebut, diperlukan sistem deteksi dini yang mampu memberikan peringatan secara otomatis. Penelitian ini bertujuan untuk merancang dan membangun sistem pendeteksi kebakaran otomatis menggunakan mikrokontroler Arduino dan berbagai sensor, seperti sensor suhu (DHT11), sensor api (flame sensor). Sistem ini bekerja dengan membaca data dari sensor-sensor tersebut untuk mendeteksi adanya potensi kebakaran. Jika terdeteksi indikasi kebakaran, sistem akan secara otomatis mengaktifkan alarm dan notifikasi melalui buzzer. Hasil pengujian menunjukkan bahwa sistem mampu merespon secara cepat terhadap perubahan suhu, asap, dan nyala api, serta memberikan peringatan yang akurat. Sistem ini diharapkan dapat digunakan sebagai alat bantu pencegahan kebakaran di lingkungan rumah, kantor, atau area publik lainnya.Kata kunci: deteksi kebakaran, Arduino, sensor suhu, sensor asap, sensor api, sistem otomatis Abstract - Fire is a disaster that can cause significant losses, both materially and in terms of human safety. To minimize these risks, an early detection system capable of providing automatic warnings is essential. This study aims to design and develop an automatic fire detection system using an Arduino-based microcontroller and various sensors, such as a temperature sensor (DHT11), flame sensor. The system operates by reading data from these sensors to detect potential fire hazards. When signs of a fire are detected, the system automatically activates an alarm and displays a warning through a buzzer and an LCD screen. The test results show that the system responds quickly to changes in temperature, smoke, open flames, and provides accurate alerts. This system is expected to be useful as a fire prevention tool in homes, offices, or other public areas.Keywords: fire detection, Arduino, temperature sensor, smoke sensor, flame sensor, automatic system
Rancang Bangun Pendingin Laptop dengan Pengaturan Kecepatan Kipas Berbasis PWM Ahmad Kholil; Andi Yusika Rangan; Presa Taruna Oliver
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 2 (2025): April 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i2.8984

Abstract

Abstrak - Dalam era komputasi yang semakin maju, laptop menjadi salah satu perangkat yang penting dan digunakan secara luas. Namun, penggunaan yang intensif dapat menyebabkan peningkatan suhu yang dapat merusak komponen internal dan mengurangi kinerja laptop. Oleh karena itu, pengendalian suhu yang efektif dan efisien menjadi sangat penting. Dalam tugas akhir ini, penulis mengusulkan penggunaan modul PWM sebagai pengontrol kecepatan kipas untuk meningkatkan pendinginan laptop. Modul PWM memungkinkan kontrol yang presisi terhadap kecepatan putaran kipas dengan mengubah lebar pulsa sinyal. Pengukuran suhu dilakukan menggunakan sensor yang akurat untuk mendapatkan data yang akurat tentang suhu laptop. Dengan menggunakan sistem pengontrol kecepatan kipas berbasis PWM ini, kipas dapat beroperasi dengan efisien sesuai dengan kebutuhan pendinginan laptop. Ketika suhu meningkat, sistem akan secara otomatis meningkatkan kecepatan kipas untuk membantu mengurangi suhu dan mencegah overheating. Kata kunci: PWM, Pengontrol Kecepatan Kipas, Pendingin Laptop, Suhu Laptop Abstract -In the increasingly advanced era of computing, laptops have become an essential and widely used device. However, intensive usage can lead to increased temperatures that can damage internal components and reduce laptop performance. Therefore, effective and efficient temperature control is of utmost importance. In this research, the author proposes the use of PWM module as a fan speed controller to enhance laptop cooling. The PWM module enables precise control over fan speed by altering the pulse width of the signal. Accurate temperature measurements are obtained using reliable sensors to gather precise data on laptop temperature. By utilizing this PWM-based fan speed control system, the fan can operate efficiently according to the cooling needs of the laptop. When temperatures increase, the system will automatically increase fan speed to help reduce temperature and prevent overheating. Keywords: PWM, Fan Speed Control, Laptop Cooling, Laptop Temperature
Smart Learning Path Recommendation with Gamification Elements for Learning App Ahmad Fahrijal Pukeng; Presa Taruna Oliver; Katarina Roswita Jehadun
Poltanesa Vol 26 No 2 (2025): December 2025
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v26i2.3554

Abstract

This research presents a smart learning path recommendation system using Content-Based Filtering algorithm integrated with gamification elements to personalize Indonesian spelling learning for increased student motivation and learning outcomes. Indonesian spelling proficiency remains a significant challenge in higher education, often due to lack of motivation and absence of adaptive learning approaches. While gamification has been shown effective in increasing engagement and personalized learning in improving outcomes, the integration of both approaches with adaptive learning path recommendations remains underexplored in the context of Indonesian language learning. This study proposes an intelligent system that utilizes diagnostic pre-test data to group students into four distinct learner profiles based on their specific spelling weaknesses (e.g., capitalization, punctuation, compound words, abbreviations). The system implements Content-Based Filtering algorithm to dynamically recommend customized learning modules sequenced according to each student's proficiency level. The system was evaluated with 92 participants in a pre-test/post-test design with paired samples t-test analysis. Results demonstrated statistically significant improvement in spelling comprehension (Mean_pre-test = 81.7%, Mean_post-test = 94.6%, t-value (91) = 16.53, p-value < 0.001, Cohen's d = 1.72), indicating an average gain of 12.9 percentage points. Additionally, motivation assessment using the ARCS model (Attention, Relevance, Confidence, Satisfaction) revealed significant increases across all motivation components (Attention: +31.4%, Relevance: +26.3%, Confidence: +40.6%, Satisfaction: +36.1%), confirming that the integrated approach successfully enhanced both learning outcomes and intrinsic motivation. This research contributes to the field by demonstrating the effectiveness of combining algorithm-driven personalization with gamification in language learning contexts.
Co-Authors Ahmad Fahrijal Pukeng Ahmad Kholil Andi Yusika Rangan Katarina Roswita Jehadun Muhammad Fauzan Rizky Maulana Yunita Yunita