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SPEKTRAL : Journal of Communications, Antennas and Propagation
Published by Politeknik Negeri Jakarta
ISSN : -     EISSN : 27745562     DOI : https://doi.org/10.32722/spektral.v1i1
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
Komunikasi dan Teknologi Jaringan : Sistem Komunikasi Nirkabel dan Bergerak, Pengolahan Sinyal Digital dan Multimedia, Pengolahan Sinyal Biomedik, Teori Informasi , Modulasi, Pengkodean Sumber dan Kanal, Algoritma dan Protokol Komunikasi, Komunikasi Radio dan Satelit, Penerapan IoT, Jaringan Telekomunikasi, Komunikasi Optik, Jaringan Sensor Nirkabel, Artificial Intelligence, Machine Learning, Computer Vision, Mobile and Cloud Computing, Pervasive Computing, Big Data, Keamanan Jaringan, Cognitive Radio, Embedded System. Antena dan Propagasi: Desain dan Analisa Antena, Microstrip Antena, Penerapan Teori Medan Elektromagnetik, Radar and Remote Sensing, Gelombang mikro dan gelombang millimeter, Pemodelan Kanal dan Propagasi.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 5 Documents
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Search results for , issue "Vol. 6 No. 1 (2025): April 2025" : 5 Documents clear
Sistem Monitoring Budidaya Maggot Berbasis Aplikasi Android Sianipar, Virgie Aubrey Hemas; Aini, Syifa Nurul; Pranoto, Dwitio Ahmad; Nurjihan, Shita Fitria; Supriyanto, Toto
Spektral Vol. 6 No. 1 (2025): April 2025
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/spektral.v6i1.7495

Abstract

Maggot is the larval phase of the life cycle of the Black Soldier Fly (BSF). The existence of maggot can be utilized as a solution to decompose organic waste as well as being used as an alternative feed for livestock. Good maggot results can be obtained by monitoring and controlling the cultivation process regularly. Monitoring and control need to be done to ensure the temperature and humidity of the cultivation site are in accordance with the needs of maggot. humidity in the cultivation site according to the needs of maggot, maggot maggots are protected from the threat of rat pests, food is given according to the schedule, and drying maggots that are ready for harvest. Maggot monitoring is carried out by utilizing an Internet of Things-based maggot cultivation monitoring system. The system design process consists of tool design and Android application design. The tool design uses a NodeMCU ESP32 microcontroller to operate the DC motor module and servo motor as a driver, a DHT-22 sensor to measure temperature and humidity, a PIR sensor to detect rat pests, an HC-SR04 sensor to measure maggot food levels, a fan to lower temperature and humidity, a buzzer as an alarm, OLED as a display to monitor temperature values, and RTC as a time recording module. The maggot monitoring and control system was successfully operated using an Android application to display temperature and humidity conditions, provide automatic feeding, repel rats and dry maggots.
Implementasi Sensor Ultrasonik HC-SR04 dengan Arduino dan LabVIEW untuk Pengukuran Level Air Arifuddin, Fikri; Rafsyam, Yenniwarti
Spektral Vol. 6 No. 1 (2025): April 2025
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/spektral.v6i1.7521

Abstract

This study discusses the implementation of the HC-SR04 ultrasonic sensor using Arduino for distance measurement, and the integration of measurement results into LabVIEW. HC-SR04 is used to measure the distance of objects with the principle of ultrasonic wave reflection. Data generated by Arduino is sent to LabVIEW via serial communication, then visualized and analyzed. This method allows real-time data processing and provides interactive visualization to facilitate understanding of measurement results. This experiment successfully demonstrated that the combination of Arduino, HC-SR04, and LabVIEW can provide accurate measurement results with fast response in an air level monitoring system.
Pengembangan Smart Fish Feeding Berbasis Internet of Things pada Budi Daya Ikan Hias Algifri Prayudha Diwiryo; Agus Wagyana; Junianto, Purbo Dwi; Muhamad Reza Febrian
Spektral Vol. 6 No. 1 (2025): April 2025
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/spektral.v6i1.7535

Abstract

Inappropriate feeding and undetected pond leaks are two major problems in ornamental fish farming that can reduce productivity and operational efficiency. This research aims to develop an Internet of Things (IoT)-based Smart Fish Feeding system capable of automating feeding and monitoring pond conditions in real-time. The system consists of an HC-SR04 ultrasonic sensor to detect feed amounts, a JSN-SR04T sensor to measure water levels, and an ESP32-Cam for visual monitoring. This device is also equipped with a Solenoid Water Valve to automatically regulate water levels and can be controlled via an Android application connected to the Firebase service. This research used a qualitative method with an observational approach and rapid prototyping to design and test the prototype directly at the cultivation site. The test results showed that the system was able to carry out feeding schedules accurately and consistently, and produced an average feed weight per second of 16.38 grams. The developed system has been proven to facilitate fish maintenance and pond management, and has the potential to increase efficiency and responsiveness in ornamental fish farming operations.
Analisa Realisasi Sistem Identifikasi Tingkat Kematangan Buah Tomat Ceri dengan Model YOLOv8 di BBPP Lembang Fathurahman, Mohamad; Hana Fauziah Hanum
Spektral Vol. 6 No. 1 (2025): April 2025
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/spektral.v6i1.7544

Abstract

Cherry tomatoes, small in size but sweet and nutritious, are increasingly popular and cultivated in Indonesia. The main challenge is determining optimal ripeness for harvesting. Technologies such as YOLOv8 can improve the accuracy of fruit ripeness detection. This study at BBPP Lembang applied YOLOv8 to detect cherry tomato ripeness and analyzed the model's performance and influencing factors. The research method for cherry tomato ripeness analysis using YOLOv8 involved image collection and annotation, data augmentation, and dataset sharing. The model was trained on the Google Colab platform with GPUs, evaluated using metrics such as accuracy and mAP, and then integrated into a website. The system was tested in real-world conditions and monitored regularly to ensure optimal performance. YOLOv8 successfully identified cherry tomato ripeness at BBPP Lembang with a mAP of 77.5%, a precision of 77.6%, a recall of 68.1%, and an F1-score of 72.5% after 100 epochs. The model demonstrated 85.71% accuracy in field trials, succeeding in 6 out of 7 tests. Model performance is influenced by dataset quality, lighting, and image resolution for optimal results. The model achieved 85.71% accuracy in real-time conditions on the website. Dataset quality and lighting influence performance, demonstrating YOLOv8's effectiveness in accurately monitoring fruit ripeness
QoS Analysis on Video Streaming Service Traffic using OSPF Protocol Herfiah, Shita; Wulandari, Asri; Meidiansyah, Muhammad Roby
Spektral Vol. 6 No. 1 (2025): April 2025
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/spektral.v6i1.7734

Abstract

The demand for video streaming services is constantly increasing, which requires reliable network performance with high Quality of Service (QoS). One of the solutions to improve network performance and guarantee QoS is to implement Multiprotocol Label Switching (MPLS). This research aims to analyze and compare the performance of non-MPLS and MPLS virtual IP networks on video streaming traffic. The research method is conducted through experiments by implementing two routing scenarios, namely non-MPLS networks that implement the Open Shortest Path First (OSPF) protocol and MPLS networks that implement OSPF with the addition of MPLS mechanisms. Tests were conducted using iPerf3 to measure UDP and TCP traffic (upload and download). In addition, QoS parameter analysis was conducted using Wireshark software on video streaming services with 360p, 480p, and 720p resolutions. The results show that MPLS networks can increase throughput, reduce delay and jitter, and reduce packet loss, especially at higher video resolutions. Video with 720p resolution experienced the most significant improvement, namely the throughput value increased by 40.73%, while delay and jitter decreased by 29.40% and 30.28%, and no packet loss was found. This shows that MPLS performance can provide better data transmission for real-time multimedia services such as video streaming.

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