cover
Contact Name
Amalia Eka Rakhmania
Contact Email
amaliaeka.rakhmania@polinema.ac.id
Phone
+62341-440424
Journal Mail Official
jtdjurnaljartel@polinema.ac.id
Editorial Address
Jl. Soekarno Hatta No. 9, Malang
Location
Kota malang,
Jawa timur
INDONESIA
Jurnal Jaringan Telekomunikasi
ISSN : 24070807     EISSN : 26546531     DOI : https://doi.org/10.33795
Jurnal Jaringan Telekomunikasi (Jurnal Jartel) merupakan jurnal repositori terbitan Program Studi Jaringan Telekomunikasi Digital, Politeknik Negeri Malang. Jurnal ini bertujuan menyediakan forum bagi para mahasiswa untuk berkontribusi dan menyebarluaskan karya baru inovatif yang berasal dari hasil penelitian di bidang Teknik Telekomunikasi, Informatika, Elektronika, Kelistrikan, maupun Kontrol dan Monitoring. Penerbitan dilakukan sebanyak empat kali per tahun dan seluruh artikel yang diterima dapat diakses secara online (akses terbuka).
Articles 286 Documents
Development of a Battery Maintenance and Charging System with a LoRa-based Ethernet Network (Study Case PT. KAI DAOP 8 Surabaya, Gubeng Station) Harsanti, Nella Abda Putri; Saptono, Rachmad; Yulianto, Ahmad Wilda
Jurnal Jaringan Telekomunikasi Vol 14 No 1 (2024): Vol. 14 No. 01 (2024) : Maret 2024
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jartel.v14i1.804

Abstract

Gubeng Station under PT. KAI DAOP 8 Surabaya requires a backup power source, such as a backup battery as a replacement for the main battery, to ensure continuous operation of the station. So, regular maintenance is carried out for the backup battery by charging them. However, there is no monitoring system for battery charging because the internet access at a distance of ±37.92 meters via Ethernet and voltage data after charging has turned yellow making maintenance and monitoring of charging difficult. Therefore, this research aims to develop a battery charging monitoring system with a LoRa-based ethernet network. When testing this system by charging a 12 VDC 65 Ah battery, the system can monitor the voltage and charging current values using a voltage sensor and ACS712 recorded in real-time in the Android application with an ethernet-based LoRa module with a maximum distance between the sending and receiving devices of 97, 9 meters in non-LoS conditions. The system also succeeded in auto cut off and sent a notification in the application when charging was complete with a recorded voltage and current of 14.01 V -0.22 Amperes.
The Number of Nodes Effect to Predict the Electrical Consumption in Seven Distinct Countries Safarudin, Yanuar Mahfudz; Musthafa, Namya; Elkhidir, Abdelrahman; Khan, Shah Zahid
Jurnal Jaringan Telekomunikasi Vol 13 No 4 (2023): Vol. 13 No. 04 (2023) : December 2023
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jartel.v13i4.826

Abstract

This paper presents a machine learning-based approach for forecasting electrical consumption in seven selected countries across different geographical categories. The data, sourced from The International Energy Agency, is analysed and condensed to focus on specific nations: Northern (Norway, Canada), Southern (Chile, Australia), Four-season (France, Japan), and a Tropical country (Colombia). The unique electrical consumption patterns influenced by regional climate characteristics make this study compelling for machine learning applications. From the dataset comprising over 132,000 records from January 2010 to May 2023 across 53 countries, a refined dataset focusing on 791 data points from seven specifically chosen countries to simplify the study. A significant part of the paper details the machine learning design for electrical consumption forecasting. Specifically, Artificial neural network architecture is proposed to predict consumption. The input features encompass the year, month, and country, with the output being the anticipated electrical usage.
Best Relay Selection Scheme in Wireless Cooperative Communication Hidayati, Nurul; Kusumawardani, Mila; Mas’udia, Putri Elfa
Jurnal Jaringan Telekomunikasi Vol 13 No 4 (2023): Vol. 13 No. 04 (2023) : December 2023
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jartel.v13i4.840

Abstract

In this research, the combination of the relay selection and network coding is used to measure the performance in LOS and NLOS condition over cooperative communication. The research aims are to select the best relay as assisted relay as well as to improve performance system. The research method used four nodes, two nodes as source and destination and two nodes as relays. The single relay selection is used to select best relay of several relays. Measurements are conducted by altering the positions of the relays to achieve optimal outcomes. The findings indicate that the relay with the lowest Bit Error Rate (BER) and the shortest distance is chosen. The study's outcomes, when measuring throughput, reveal that network coding throughput is 21.8% higher than that without network coding in Non-Line of Sight (NLOS) conditions. In Line of Sight (LOS) conditions, the throughput is increased by 23%.
Design and Development of Augmented Reality Applications in Computer Network Topology Animation Suprianto, Gaguk
Jurnal Jaringan Telekomunikasi Vol 14 No 1 (2024): Vol. 14 No. 01 (2024) : Maret 2024
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jartel.v14i1.860

Abstract

Technology can be applied in the development of teaching materials to enable students to explore material outside the classroom. One of the relevant technologies is Augmented Reality (AR), which allows the appearance of three-dimensional objects in the real world. One of the courses that has significance in the realm of information and communication technology is computer networks. However, this course faces several obstacles in implementing the teaching and learning process, including high equipment costs and expensive maintenance requirements. In addition, the teaching methods currently used still tend to be monotonous. Given these factors, the objective of this study is to incorporate Augmented Reality technology into the teaching of computer network courses. An Augmented Reality application has been developed and tested using the black box method. This approach has the advantage of assessing software quality, ensuring that the software meets desired expectations Test results on mobile devices state that the application developed can be installed on two mobile devices with different specifications. The marker test was also declared successful up to a distance of 100 cm. All buttons and features in the application run smoothly and function well. The application designed and developed possesses the potential for use in additional courses necessitating object visualization. In addition, the developed application supports users with special needs because there are audio features in each material. For future research, it may be considered to use a markless-based method because it is more flexible and does not require markers.
Elephas-SAM : segmentation performance of Sumatran Elephant in captivity with segment anything model Ery Faqih, Fortuno; P.C.S.W, Lukman Zaman
Jurnal Jaringan Telekomunikasi Vol 14 No 1 (2024): Vol. 14 No. 01 (2024) : Maret 2024
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jartel.v14i1.863

Abstract

Surabaya Zoo is one of the conservation institutions in Surabaya, which has Sumatran elephants as a collection of endemic Indonesian animals. The Indonesian government protects this animal because of its endangered status. Having CCTV cameras installed in captivity helped us to create Elephas-SAM by utilizing Segment Anything Model (SAM) technology as the initial foundation for developing a system for monitoring animals in captivity with artificial intelligence (AI). Our investigations differ from past research in that we utilize 60 exclusive images obtained from CCTV footage in an elephant enclosure at Surabaya Zoo over a 30-day period instead of using publicly available datasets. The image set was partitioned into 30 instances taken under low-light settings (01:00 WIB) and 30 instances taken under high-light conditions (15:00 WIB). We perform the evaluation of SAM's prediction scores using the SAM-Point Prompt and SAM-Box Prompt techniques. It was found that, on average, the segmentation prediction scores for 30 low-light images are higher when the SAM-Point prompt is used (0.941) instead of the SAM-Box prompt (0.939), which is only a 0.002 difference. For a set of 30 vivid images, the SAM-Point Prompt produces a higher average score (0.989) than the SAM-Box Prompt (0.968), indicating a difference of 0.021. The results emphasize the effectiveness of using a SAM-Point prompt instead of a SAM-Box question to accurately forecast segmentation scores for items of Sumatran elephants under different illumination situations.
Design of Miniature Snack Vending Machine Based on Internet of Things Mukti, Feriyanando Anggawa; Darmono, Hendro; Hidayati, Nurul
Jurnal Jaringan Telekomunikasi Vol 14 No 1 (2024): Vol. 14 No. 01 (2024) : Maret 2024
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jartel.v14i1.871

Abstract

Automatic sales machines or vending machines that already exist in Indonesia generally only sell snacks and soft drinks. The lack of vending machines in hotels is due to the high cost of purchasing a vending machine. The average shopping center, hotel, office, and other places in Indonesia still use vending machines with paper money and coin payments. The use of RFID tag cards as a means of payment on snack vending machines is still vulnerable if not given a password or the like for security. The testing parameters in this study are fingerprint sensor accuracy, RFID Reader Visiting, Database connectivity testing on the website, ESP32 testing to the database, and testing the entire system. Fingerprint sensor accuracy testing is done by taking 10 fingerprint samples that have not been registered. The fingerprint sensor works well. RFID testing is done by measuring the maximum distance the RFID Reader can read RFID tags using 3D print barrier with a thickness of 1cm. RFID Reader can read RFID Tags with a maximum distance of 3cm. Database connectivity testing on the website is done to find out whether communication between the database and the web vending machine snack goes well. The results of testing esp32 to the database took 2 tests, namely buyer id testing and balance testing. In the esp32 test to the database the system runs well and correctly. Overall the miniature snack vending machine system runs correctly as designed.

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