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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 51 Documents
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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 PERANGKAT KERAS SISTEM PEMANTAU POTENSI TANAH LONGSOR DENGAN WIRELESS SENSOR NETWORK BERBASIS LORA Poetra, Andreas Genta Exna; Wagyana, Agus; Febrian, Muhamad Reza
Spektral Vol. 5 No. 2 (2024): Oktober 2024
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/spektral.v5i2.7130

Abstract

Landslides represent one of the natural disasters that cause extensive harm to communities, affecting them morally and materially. Various parties, including the government, have implemented various efforts to prevent and reduce the impact of landslides. Because landslide potential areas are difficult to do directly, a tool is designed that is able to monitor areas that have the potential for landslides. The purpose of this research is to design hardware and monitor soil movement in a potential landslide location. The device uses ultrasonic sensor and accelerometer sensor to measure the ground movement. Early warning system is made as an effort to provide warnings to local residents if there are indications of land movement that has the potential to become a landslide disaster. In the process of sending data, LoRa module is used. For remote monitoring of soil movement, the data taken by the sensor will be sent to the Thingspeak IoT platform so that soil movement can be monitored in graphical form. This system can send data up to a radius of 1200 meters, and has a fairly low percentage error value below 1% for measurements using ultrasonic sensors and can monitor the movement of tools using accelerometer sensors.
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.
Prototype Sistem Pendeteksi Longsor Berbasis Internet of Things Menggunakan Komunikasi Long Range (LoRa) Lestari, Annisa Fitri; Riani, Erna; Nurjihan, Shita Fitria; Hasani, Rifqi Fuadi
Spektral Vol. 5 No. 2 (2024): Oktober 2024
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/spektral.v5i2.7234

Abstract

Landslide disasters occur when materials such as rocks, debris, soil, or mixtures thereof move down a slope or out of the slope. As a natural disaster, landslides can cause material loss and loss of life. To reduce the impact, a system is needed that can monitor soil conditions continuously real-time and provide early warning to people living in landslide-prone areas. This designed system integrates a landslide-based detection tool Internet of Things (IoT) with Android applications. The system uses Realtime Database to store data from sensors, software Android Studio for developing Android applications, as well as communications Long Range (LoRa) to send sensor data to the microcontroller. This system can display data on soil moisture, rain intensity, vibration and conditions directly. If danger is detected, a buzzer will sound, and the application will send notifications quickly and precisely. Tests show that the sensor can transmit data using LoRa with an Received Signal Strength Indicator (RSSI) value of -71 dBm at 10 meters under conditions of Line of Sight, and up to 100 meters with an RSSI value of -106 dBm in the presence of obstructions. With this system, it is hoped that people in landslide-prone areas will be more alert, so that the risk of loss of life and material loss can be reduced.
PERANCANGAN SISTEM POINTING ANTENA TOWER BTS OTOMATIS UNTUK KOMUNIKASI WI-FI BERBASIS APLIKASI ANDROID: RANCANG BANGUN APLIKASI KONTROL POINTING ANTENA BTS BERBASIS ANDROID Fadhilah, Naufal; Rafsyam, Yenniwarti
Spektral Vol. 5 No. 2 (2024): Oktober 2024
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/spektral.v5i2.7237

Abstract

In this digital era, the demand for reliable and efficient communication networks is increasingly rising. One of the critical components in communication networks is the Base Transceiver Station (BTS), which requires an antenna with optimal orientation to ensure maximum signal quality. This research aims to design an automatic BTS antenna pointing system using an Android application. The system utilizes DC Gear Motors and Servo Motors to adjust the antenna's position and orientation in real-time. The Android application serves as an intuitive user interface, allowing technicians to easily calibrate and adjust the antenna. The system is designed to enhance time efficiency and accuracy in the antenna pointing process. The application is developed using Android Studio and Firebase Realtime Database. It is connected to the ESP32 via mobile Wi-Fi internet. The developed application functions effectively, enabling the tower to rotate to the specified angle accurately as commanded by the application. The code and system built significantly assist technicians in the antenna pointing process.
Implementasi Mode Deep Sleep pada Sistem Pendeteksi Asap Rokok Berbasis LoRa di Pesantren Fathurahman, Mohamad
Spektral Vol. 5 No. 2 (2024): Oktober 2024
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/spektral.v5i2.7244

Abstract

Smoking behavior is found in pesantren (boarding schools) as well as in non-boarding school zones. Although there is a no-smoking rule in pesantren, there are still many students who smoke in secret where one of the most common places for them to smoke is inside the dormitory toilets and dormitories. Most often used as a place to smoke is inside the dormitory toilet and this behavior is an offense. This behavior is a violation. The purpose of this research is to design a cigarette smoke detector that can help teachers or supervisors in supervising students. students who are secretly smoking in the bathroom. who are smoking in the restroom. The device uses a CO sensor and a CO2 sensor as sensors to detect the presence of cigarette smoke. In an effort to of cigarette smoke, a smoker alarm system is created that can warn the can provide a warning to the pesantren supervisor if there is an indication of the presence of cigarette smoke in a toilet cubicle. Presence of cigarette smoke in a toilet cubicle. A LoRa module is used for data transmission. LoRa module is used. For the data that is sent from the next sensor is sent to the firestore database using the MQTT protocol and Node-RED as programming. using Node-RED as programming. This system can send This system can send data up to a radius of 180 meters under NLOS conditions. When testing the CO and CO2 sensor testing, there were differences in gas concentration values when the sensor was not influenced by smoke and when the smoke was influenced by the sensor. sensor was affected by smoke. Node Transmitter nodes using the Deep Sleep feature receive an additional 79.8% uptime.
Penerapan Sistem Artifical Intelligence Pada Alat Keamanan Gerbang Otomatis Wilayah Perumahan Fuadi Hasani, Rifqi; Muhammad Yusuf
Spektral Vol. 5 No. 2 (2024): Oktober 2024
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

People are worried about the increasing crime such as theft in housing, so a reliable security system, including automatic gates with IoT (Internet of Things) and AI (Artificial Intelligence) is needed. AI can detect faces to improve security and facilitate access, keeping the environment safe. The use of IoT and AI enables a smarter and more responsive security system, reducing the risk of crime and increasing comfort. This system uses Python, Webcam, and Raspberry Pi to improve security and access efficiency. Python programs object detection and facial recognition algorithms, while the Webcam captures images or videos. Raspberry Pi as the processing center runs an AI model that recognizes vehicles and occupant identities based on facial features, ensuring that only registered occupants can open access, thereby improving security and housing access control. Test results show that the detection system works quite well in identifying vehicles and faces, with an average combined accuracy of 66.5%, which is obtained from the results of testing the object detection system (58%) and facial recognition (75%). QoS measurements of the Telkomsel LTE module show very good performance with a Throughput of 380.58 bps, Packet Loss 0%, and Delay 3.4 ms. The average download value of 19 Mbps, upload 4 Mbps, and ping 32 ms is also adequate.
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.

Page 4 of 6 | Total Record : 51

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