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All Journal Jurnal ULTIMA Computing Jurnal Mekanova : Mekanikal, Inovasi dan Teknologi Brahmana : Jurnal Penerapan Kecerdasan Buatan
Sary, Indri Purwita
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Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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An Analysis Of The Performance Of Autonomous Navigation On An Ardupilot-Controlled Rover Adik Susilo Wardoyo; Indri Purwita Sary; Ilham Taufik Maulana
Ultima Computing : Jurnal Sistem Komputer Vol 14 No 2 (2022): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v14i2.2844

Abstract

Monitoring forests is one of the strategies in the overall preventive strategy. Monitoring the forest can quickly and permanently manage how tree illnesses emerge, spread, and evolve. To help monitor forest fires, a robot platform that can operate independently and assist in data collection can be created. In this paper, the accuracy of the Ardupilot-controlled autonomous navigation system of the rover was examined. The metode are used is experimental study, the study consists of a comparison between the GPS rover log and the SITL simulation within the mission planner tool. The average accuracy achieved by altering the route's distance and shape is 94.58%. The lengthy path may be the source of the rover's inaccurate autonomous navigation. In this case, the turning angle problem has no real effect on how well and accurately the rover navigates on its own.
Performance Comparison of YOLOv5 and YOLOv8 Architectures in Human Detection using Aerial Images Indri Purwita Sary; Safrian Andromeda; Edmund Ucok Armin
Ultima Computing : Jurnal Sistem Komputer Vol 15 No 1 (2023): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v15i1.3204

Abstract

The development of UAV technology has reached the stage of implementing artificial intelligence, control, and sensing. Cameras as UAV data inputs are employed to ensure flight safety, search for missing persons, and disaster evacuation. Human detection using cameras while flying is the focus of this article. The application of human detection in pedestrian areas using aerial image data is used as the dataset in the deep learning input process. The architectures discussed in this study are YOLOv5 and YOLOv8. The precision, recall, and F1-score values are used as comparisons to evaluate the performance of these architectures. When both architecture performances are applied, YOLOv8 outperforms YOLOv5. The achieved performance of YOLOv8 is a precision of 84.62%, recall of 75.93%, and F1-score of 79.98%.
Kalibrasi Sensor Ultrasonik HC-SR04 Pada Prototipe Water Tank Level Control System Syahlan, Ahmad; Sary, Indri Purwita; Fathin, Muhammad Aiman; Rezyan, Rizky Fiqliyarli
Jurnal Mekanova : Mekanikal, Inovasi dan Teknologi Vol 10, No 1 (2024): April
Publisher : universitas teuku umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jmkn.v10i1.9333

Abstract

Sistem pengisian tangka air secara manual dinilai tidak efektif karena tidak adanya otomatisasi dalam pemantauan ketinggian air. Penggunaan sensor HC-SR04 pada beberapa proyek keran air otomatis telah banyak dilakukan. Proses pengukuran linear menggunakan sensor HC-SR04 memerlukan kalibrasi untuk meningkatkan ketelitian dan ketepatan pengukuran. Penelitian ini bertujuan untuk mengkalibrasi sensor HC-SR04 dengan menggunakan metode regresi linear. Hasil yang didapat yaitu peningkatan yang signifikan dari hasil persentase ketelitian dan ketepatan sensor pada variasi pengukuran jarak 5 cm, 15 cm, 20 cm, dan 30 cm yang mencapai nilai 100%.
Liquid Petroleum Gas (LPG) Cylinder Leak Detection Tool Using MQ-2 Sensor Based on Internet of Things (IoT) Wicsksono, Hartawan Alief; Syahda, Rizky Oriza; Syahid, Nur; Sary, Indri Purwita
Ultima Computing : Jurnal Sistem Komputer Vol 16 No 2 (2024): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v16i2.3658

Abstract

The widespread use of LPG gas cylinders brings the risk of gas leaks that can cause serious hazards, including fires and explosions. Therefore, an effective system is needed to detect gas leaks and provide early warnings to users. This study aims to develop an LPG gas cylinder leak detection device using an MQ-2 sensor based on the Internet of Things (IoT). The system consists of an MQ-2 sensor capable of detecting LPG gas, a microcontroller module for data processing, and an IoT communication module to send alerts to user devices via the internet. When the MQ-2 sensor detects a gas concentration that exceeds the predetermined threshold, the system sends an alert in the form of a notification to the user's mobile application. Additionally, the system is equipped with an audible alarm for direct on-site warnings. Test results indicate that this system can detect gas leaks with high accuracy and send alerts promptly. The implementation of IoT technology allows for real-time monitoring and handling of gas leaks, thereby enhancing the safety of LPG gas cylinder users. Thus, this leak detection device is expected to reduce the risk of accidents due to gas leaks and provide a sense of security for users.
Performa Model YOLOv8 untuk Deteksi Kondisi Mengantuk pada pengendara mobil Armin, Edmund Ucok; Edra, Anggun Purnama; Alifin, Fakhri Ikhwanul; Sadidan, Ikhwanussafa; Sary, Indri Purwita; Latifa, Ulinnuha
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 5, No 1 (2023): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v5i1.279

Abstract

Driving while drowsy is identified as a significant risk factor in traffic accidents, yet awareness of this risk is often lower compared to other hazards. Phenomena such as microsleep have been shown to increase the risk of inattention and accidents on the road. This study proposes a novel approach utilizing Deep Learning, specifically YOLOv8, to detect and address the risk of driver drowsiness. To train the model, the researchers employed a secondary dataset consisting of 3708 images, partitioned into 80% for model training and 20% for validation. Multiple models were compared during the training process, and the results indicated that the YOLOv8 model outperformed previous models, achieving a recall value of 0.95261, precision of 0.94655, F1-SCORE of 0.9496, and mAP of 0.98055. This research contributes to the development of more effective drowsiness detection systems using Deep Learning approaches, with promising evaluation results.
Liquid Petroleum Gas (LPG) Cylinder Leak Detection Tool Using MQ-2 Sensor Based on Internet of Things (IoT) Wicsksono, Hartawan Alief; Syahda, Rizky Oriza; Syahid, Nur; Sary, Indri Purwita
ULTIMA Computing Vol 16 No 2 (2024): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v16i2.3658

Abstract

The widespread use of LPG gas cylinders brings the risk of gas leaks that can cause serious hazards, including fires and explosions. Therefore, an effective system is needed to detect gas leaks and provide early warnings to users. This study aims to develop an LPG gas cylinder leak detection device using an MQ-2 sensor based on the Internet of Things (IoT). The system consists of an MQ-2 sensor capable of detecting LPG gas, a microcontroller module for data processing, and an IoT communication module to send alerts to user devices via the internet. When the MQ-2 sensor detects a gas concentration that exceeds the predetermined threshold, the system sends an alert in the form of a notification to the user's mobile application. Additionally, the system is equipped with an audible alarm for direct on-site warnings. Test results indicate that this system can detect gas leaks with high accuracy and send alerts promptly. The implementation of IoT technology allows for real-time monitoring and handling of gas leaks, thereby enhancing the safety of LPG gas cylinder users. Thus, this leak detection device is expected to reduce the risk of accidents due to gas leaks and provide a sense of security for users.
Co-Authors Adik Susilo Wardoyo Armin, Edmund Ucok Edmund Ucok Armin Edra, Anggun Purnama Fakhri Ikhwanul Alifin Fathin, Muhammad Aiman Ikhwanussafa Sadidan, Ikhwanussafa Ilham Taufik Maulana Latifa, Ulinnuha Nur Syahid, Nur Rezyan, Rizky Fiqliyarli Safrian Andromeda Syahda, Rizky Oriza Syahlan, Ahmad Wicsksono, Hartawan Alief