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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
 1 
Search results for , issue "Vol. 5 No. 1 (2024): April 2024" : 5 Documents clear
UV LEVEL MONITORING IN ANDROID-BASED SKIN HEALTH SYSTEMS Herlina L, Yeli; Rafsyam, Yenniwarti
Spektral Vol. 5 No. 1 (2024): April 2024
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/spektral.v5i1.6707

Abstract

This research proposes a system to monitor the level of UV exposure to android-based skin, using the VEML6075 sensor and ESP32 module. Excessive UV exposure can have a negative impact on skin health such as premature aging and the risk of skin cancer. In this research, ESP32 module is designed and integrated with VEML6075 sensor to measure UV level accurately and send UV level data to android application through internet connection. The android application created allows users to monitor UV exposure levels in various environmental conditions. In addition, the application provides suggestions and alerts based on UV levels, helping users to take appropriate actions in caring for skin health. Tests were conducted on 3 environmental conditions namely indoors, indoors exposed to sunlight and outdoors exposed to direct sunlight. Also testing was carried out at 09.00 WIB to 15.00 WIB with a distance of 30 minutes. The results of the test obtained UV levels from 0.00125 to 5.02324.
RANCANG BANGUN SISTEM MONITORING KUALITAS AIR BERBASIS IoT (INTERNET OF THINGS) PADA TAMBAK IKAN BANDENG Maharani, Farah Ardhia; Fathurahman, Mohamad; Rachman, Adam
Spektral Vol. 5 No. 1 (2024): April 2024
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/spektral.v5i1.6776

Abstract

One of the main factors to consider in milkfish aquaculture in ponds is maintaining the environmental sustainability of the water. Therefore, the water quality in milkfish ponds must be monitored daily. To facilitate periodic water quality monitoring for milkfish farmers, a pond water quality monitoring system was developed for smartphones. This system monitors water salinity levels using a TDS sensor, pH levels using a pH sensor, water temperature using a DS18B20 sensor, and water turbidity using a turbidity sensor, all directly connected to a WEMOS D1 microcontroller. All parameters are monitored through a custom Android application, which sends notifications if any water parameter exceeds normal limits: temperature 15-40°C, salinity 5-35 ppt, pH 7-8, and turbidity 20-40 NTU. The microcontroller programming is done in C, and Python is used to process real-time data from the database into Ms. Excel files. System testing is carried out on each sensor to determine the level of accuracy using a comparative measuring instrument. The results show that the system communicates effectively, sending and receiving sensor data every 5 seconds, with an overall sensor reading accuracy of 99.1%.
SISTEM MONITORING ENERGI DAN BIAYA KONSUMSI LISTRIK RUMAH TANGGA BERBASIS IOT Fia Magfirah; Widhiantoro, Dandun
Spektral Vol. 5 No. 1 (2024): April 2024
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/spektral.v5i1.6778

Abstract

In Indonesia, household electricity consumption dominates at 91.47%, increasing living costs. To tackle this, an Internet of Things based system for monitoring energy and electricity expenditure has been developed, accessible through a mobile app. This employs the PZEM-004T sensor linked to an ESP32 to measure electric parameters such as voltage, current, power, energy, and consumption costs. Gathered data is shown on an LCD and sent to Firebase, syncing with the app for easy monitoring by users. The app also offers features to download data and calculate electricity costs for varying periods. Testing of the PZEM-004T sensor showed voltage and current measurement accuracies of 98.5% and 99.89%, respectively, indicating high precision with minimal error. Connected to home appliances, it recorded 0.474 kWh of energy use, costing Rp 640.85. The app displays measurements of five electrical parameters and allows users to download monthly data in Excel format and estimate daily, monthly, and yearly electricity expenses.
Perancangan dan Implementasi Sistem Smart Locker dengan Face Recognition Berbasis Internet of Things: Penerapan Teknologi Pengenal Wajah dalam Sistem Smart Locker Ahmad, Rofiq; Agus, Agus; Junianto, Purbo Dwi
Spektral Vol. 5 No. 1 (2024): April 2024
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/spektral.v5i1.7117

Abstract

The Smart Locker System with Face Recognition is designed and developed to enhance security and efficiency in locker facility usage in environments requiring privacy and security, such as laboratories, institutions, or companies. The aim of this research is to create an innovative solution that combines facial recognition technology with an automated locking system to optimize locker access management. Facial recognition technology is used as the authentication method to unlock the locker door. The system integrates a camera on the ESP32-Cam to capture the user's face, which is then compared to a pre-registered facial database. If a match is detected, the locker door automatically opens. This Smart Locker System features four main functionalities: locker unlock, locker lock, face recognition, and image capturing. Testing results show that the Smart Locker System with Face Recognition successfully achieves adequate facial recognition accuracy and quick response times for opening and locking the locker door. The fastest time for the ESP32-Cam to recognize a face is 2.17 seconds. The quickest time to open the locker is 0.40 seconds, to close it is 0.41 seconds, and for image capture, 0.63 seconds.
Rancang Bangun Geographic Information System (GIS) dengan Algoritma A-star untuk Data Pelanggan dan ODP (Optical Distribution Point) Miftah Fauziah, Anggita; Elvira Ananda, Fitri; Zulhelman
Spektral Vol. 5 No. 1 (2024): April 2024
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/spektral.v5i1.7187

Abstract

Geographic Information System (GIS) is a technology used to manage spatial data in various applications. This study creates a web-based GIS system design for PT. Aba Telekomunikasi Indonesia, which faces challenges in managing customer data and ODP. The A-star algorithm is applied to find the shortest route between ODP and customers. The system is developed using the CodeIgniter framework, PHP, MySQL, and leaflet.js for map visualization. Testing is carried out by comparing the results of the A-star algorithm with Google maps and using UAT (User Acceptance Test) for user acceptance analysis. The results show an average distance difference of 0.0095 km, meeting a tolerance of 0.2 km, and a user acceptance rate of 84.06%. This study proves that GIS can improve the operational efficiency of small-scale telecommunications companies.

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