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All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) Conten : Computer and Network Technology Electron: Jurnal Ilmiah Teknik Elektro
Adiastoro, Mahendra
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy

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PENGARUH PARAMETER PID KONTROLER PADA ALAT PEMANAS AIR OTOMATIS Adiastoro, Mahendra; Arundaya, Adil; Prasetya, Galang Putra; Samasta, Dhitsa Anggara Ari; Syah, Mario Norman; Andrasto, Tatyantoro
CONTEN : Computer and Network Technology Vol. 4 No. 1 (2024): Juni 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/conten.v4i1.3604

Abstract

Penelitian ini bertujuan untuk meningkatkan efisiensi dan stabilitas sistem pengendalian suhu pada pemanas air dengan menggunakan metode PID (Proportional-Integral-Derivative) Control. Metode yang diterapkan dalam penelitian ini melibatkan penggunaan PID Control untuk mengatur keluaran berdasarkan perhitungan proporsional, integral, dan derivatif dari kesalahan antara set point dan nilai aktual, yang bertujuan untuk mencapai respons sistem yang diinginkan. Sistem yang dibangun menggunakan Arduino Mega 2560 sebagai mikrokontroler utama, sensor suhu DS18B20, pemanas air 12V, dan motor driver BTS7960, serta keypad untuk input parameter kontrol. Implementasi metode ini diuji dengan variasi parameter Kp, Ki, dan Kd untuk mengevaluasi pengaruhnya terhadap stabilitas dan kecepatan respons sistem. Hasil penelitian menunjukkan bahwa pengaturan PID dengan Kp = 80, Ki = 0, dan Kd = 0 menghasilkan respons suhu yang stabil dan sesuai dengan setpoint yang diinginkan.
Tinjauan Sistematis Dampak Teknologi Kota Pintar terhadap Kualitas Hidup dan Lingkungan Adiastoro, Mahendra; Ati Zuhrotal Afifah, Ning Imas; Arundaya, Adil; Pribadi, Feddy Setio; Aprilianto, Rizky Ajie
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 5 No 2: Jurnal Electron, November 2024
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v5i2.210

Abstract

This study conducted a Systematic Literature Review (SLR) to review the impact of smart city technologies on quality of life and environmental sustainability. Using the PRISMA method, this review systematically identified, screened, and selected relevant studies from reputable databases, focusing on recent publications from 2019 to 2024. The research addresses various aspects of smart city initiatives, including benefits, challenges, real-world applications, potential risks, and strategies to overcome implementation barriers. The results show that smart city technologies contribute positively to urban resource management, energy efficiency, and waste reduction, thereby improving quality of life and promoting sustainable urban development. However, data privacy, cybersecurity, and high implementation costs remain significant obstacles. Community engagement and customized approaches are identified as critical factors in the successful adoption of smart city initiatives. This study provides insights into strategies to optimize the benefits of smart city projects, offering a basis for further research and practical guidance for stakeholders in urban planning.
PENGARUH PARAMETER PID KONTROLER PADA ALAT PEMANAS AIR OTOMATIS Adiastoro, Mahendra; Arundaya, Adil; Prasetya, Galang Putra; Samasta, Dhitsa Anggara Ari; Syah, Mario Norman; Andrasto, Tatyantoro
CONTEN : Computer and Network Technology Vol. 4 No. 1 (2024): Juni 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/conten.v4i1.3604

Abstract

Penelitian ini bertujuan untuk meningkatkan efisiensi dan stabilitas sistem pengendalian suhu pada pemanas air dengan menggunakan metode PID (Proportional-Integral-Derivative) Control. Metode yang diterapkan dalam penelitian ini melibatkan penggunaan PID Control untuk mengatur keluaran berdasarkan perhitungan proporsional, integral, dan derivatif dari kesalahan antara set point dan nilai aktual, yang bertujuan untuk mencapai respons sistem yang diinginkan. Sistem yang dibangun menggunakan Arduino Mega 2560 sebagai mikrokontroler utama, sensor suhu DS18B20, pemanas air 12V, dan motor driver BTS7960, serta keypad untuk input parameter kontrol. Implementasi metode ini diuji dengan variasi parameter Kp, Ki, dan Kd untuk mengevaluasi pengaruhnya terhadap stabilitas dan kecepatan respons sistem. Hasil penelitian menunjukkan bahwa pengaturan PID dengan Kp = 80, Ki = 0, dan Kd = 0 menghasilkan respons suhu yang stabil dan sesuai dengan setpoint yang diinginkan.
PERFORMANCE EVALUATION OF RECENT YOLO VERSIONS FOR CLASSROOM STUDENT BEHAVIOR DETECTION Adiastoro, Mahendra; Febry Putra Rochim; Syahroni Hidayat
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 4 (2026): JITK Issue May 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i4.7773

Abstract

The increasing adoption of smart classroom systems underscores the need for automated, objective, and real-time  monitoring of student behavior to support effective teaching and learning. Computer vision–based object detection, particularly the You Only Look Once (YOLO) family, has shown strong potential for this task. However, existing studies predominantly evaluate YOLO models in isolation or across different frameworks, resulting in biased comparisons. To address this gap, this study presents a controlled intra-family comparative evaluation of four recent YOLO generations YOLOv8, YOLOv10, YOLOv11, and YOLOv12 across three weight variants (nano, small, and medium), yielding 12 model configurations. All experiments were conducted under a uniform training pipeline and computing environment using an NVIDIA T4 GPU to ensure fair benchmarking. Model performance was assessed using Precision, Recall, F1-Score, mean Average Precision (mAP), inference speed (FPS), and computational complexity. The results reveal a consistent trade-off between detection accuracy and inference speed: YOLOv12m achieves the highest detection accuracy but the lowest FPS due to increased architectural complexity. At the same time, YOLOv10n offers the fastest inference at the cost of reduced reliability for subtle behaviors. Within the scope of the evaluated dataset and controlled classroom setting, YOLOv8s and YOLOv11s demonstrate the most balanced accuracy–speed performance, making them suitable candidates for real-time  classroom monitoring under similar conditions. This study provides practical insights for researchers and developers by offering an objective benchmark and model-selection guidance tailored to smart classroom applications, while accounting for dataset and environmental constraints.
Co-Authors Aprilianto, Rizky Ajie Arundaya, Adil Ati Zuhrotal Afifah, Ning Imas Febry Putra Rochim Feddy Setio Pribadi Mario Norman Syah, Mario Norman Prasetya, Galang Putra Samasta, Dhitsa Anggara Ari Syahroni Hidayat Tatyantoro Andrasto