cover
Contact Name
Isa Hafidz
Contact Email
complete@ittelkom-sby.ac.id
Phone
+6231-8280800
Journal Mail Official
complete@ittelkom-sby.ac.id
Editorial Address
Fakultas Teknik Elektro, Institut Teknologi Telkom Surabaya Ketintang Str. No. 156, Surabaya, East Java 60231
Location
Kota bandung,
Jawa barat
INDONESIA
Journal of Computer, Electronic, and Telecommunication (COMPLETE)
Published by Universitas Telkom
ISSN : 27234371     EISSN : 27235912     DOI : -
COMPLETE (ISSN 2723-4371, E-ISSN 2723-5912) is a national open scientific journals which seeking innovation, creativity, and novelty. Either letters, research notes, articles, supplemental articles, or review articles in the field of Electrical, Computer, and Telecommunication technology. Scope of the journal include : - Technology utilization of maritime resources - Strengthening infrastructuremaritime - Technology and management safety transportation - Industrial strengthening technology transportation - Supporting infrastructure and transportation system - Operational efficiency - Electronics technology - Telecommunication technology - Computer technology - System security - Advanced robotics technology - Technology and disaster management - Advanced power electronics - Application of power system - Renewable energy - Chips technology - Smart iot devices - 5g technology and ecosystems - Technology and management environment This journal published twice a year, in July and December. Editors invite research lecturers, the reviewer, practitioners, industry, and observers to contribute to this journal. The language used in the form of Indonesian and English. The author will not be charged any fees in the publication process.
Articles 5 Documents
Search results for , issue "Vol. 5 No. 2 (2024): December" : 5 Documents clear
Design of Micro Wind Power Plant using Dual Savonius Turbines Saputra, Riza Hadi; Risna, Risna; Oktafiani, Fitri; Sampurno, Yusuf Cahyo; Ardito, Jheskia
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 5 No. 2 (2024): December
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v5i2.623

Abstract

Wind power plants are one of the renewable energy solutions that are environmentally friendly and sustainable. The success of such plants heavily depends on the location, which plays a crucial role in determining the availability of wind. In addition to highlands, coastal areas can serve as suitable locations. Balikpapan, with its expansive coastlines, holds significant potential for harnessing wind energy as a source of electricity. However, the utilization of this wind energy, particularly on a micro-scale, remains suboptimal. Research conducted over three days recorded wind speeds between 4 m/s and 5 m/s, generating voltages between 3 volts and 4 volts, which is only 1/3 of the total potential voltage. There is still an untapped potential of about 2/3 or 6 volts that could be harnessed if wind speeds reach 12 m/s to 15 m/s. The study concludes that the wind speed at Airport Beach is not yet sufficient to produce the maximum possible voltage. The current wind speeds are only capable of powering a 5-volt capacity light, with the generated energy stored in a battery for later use.
A Design of Antipodal Vivaldi Antenna with Circular Load for Bandwidth Enhancement in Radar Applications Galuh Widya Cahyaningtyas; Fannush Shofi Akbar; Risdilah Mimma Untsa; Puguh Chondro Jadmiko; Efrilia M. Khusna; Djoko Kuntjoro, Tri Agus
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 5 No. 2 (2024): December
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v5i2.634

Abstract

Radio Detection and Ranging (RADAR) attracts a lot of attention because it has an important role in life through its various applications such as in security, navigation, transportation, telecommunications and medical applications. Ultra-wideband radar applications require accurate, high-resolution detection and good penetration capabilities. To fulfil this, the bandwidth required must be greater, resulting in a narrower pulse width. In this case, an antenna using ultra-wideband technology is needed to accommodate this. This research discusses the design of an ultra-wideband antipodal vivaldi antenna with the addition of circular loads designed to increase bandwidth in radar applications. The design and simulation in this study used CST Studio Suite 2019 software and then measured with a Vector Network Analyzer (VNA) to determine antenna performance. The results of this study show that the antenna can work at a frequency of 898.85 MHz to more than 3.2 GHz with a unidirectional radiation pattern. In addition, the gain generated in this study is 6.6 dBi, S1.1 -17.01 dB, and a bandwidth of more than 2301.15 MHz.
Sign Language Detection Based On Sensor Using Neural Network Method Sevia Indah Purnama; Mas Aly Afandi; Muhammad Nur Al-Majid
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 5 No. 2 (2024): December
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v5i2.638

Abstract

Sign language is a way of communication for people with hearing and speech impairments. Sign language is generally done using hand gestures to articulate sentences. Different countries use different sign languages, increasing the complexity of sign language recognition. Communication between non-disabled and disabled people is difficult because non-disabled people do not learn sign language. This research aims to develop a device that can translate sign language specific to telling body conditions so that people without disabilities can understand. The device uses sensors to determine hand movement patterns to recognize sign language. The sign language recognized in this study focuses on body conditions and diseases such as asthma, cough, dizziness, depression, and tonsils. The results of the test show that the Artificial Neural Network (ANN) model has good performance with 98% accuracy value, 98% precision value, 98% recall, and 98% F1-Score. The test was conducted after the model was implanted and used to perform sign language testing. The parameter value of the confusion matrix shows high results. It can be concluded that the model created can be used to translate sign language to express the condition of tonsils, cough, depression, dizziness, and asthma.
Implementation of IoT Technology in Aquaponics and Modern Aquaculture Systems for Optimizing Catfish Growth Asep Syaputra; Nanda S.Prawira
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 5 No. 2 (2024): December
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v5i2.642

Abstract

In the modern era, various systems of agriculture and aquaculture have evolved rapidly. One remarkable innovation is modern aquaponics, a method that is gaining recognition as a sustainable solution for food production. This system combines fish farming and agriculture into a unified and mutually beneficial approach. Modern aquaponics has proven to be effective in overcoming the constraints of urban land, providing a viable solution for both agriculture and aquaculture. For optimal results in fish farming, it is crucial to consistently monitor the conditions of fish growth and health to avoid the risk of crop failure. In response to this challenge, this study aims to implement an Internet of Things (IoT) system in modern aquaponics, focusing primarily on enhancing the growth of catfish in a controlled and efficient manner. This system employs a range of IoT sensors, including pH sensors, Total Dissolved Solids (TDS) sensors, and temperature sensors, to monitor the water quality within the aquaponics setup continuously. Such monitoring not only ensures optimal conditions for healthier fish but also increases plant productivity, thereby enhancing the overall sustainability and effectiveness of the cultivation process. The results of sensor testing revealed a pH value of 7.2, indicating that the water's acidity level is within a balanced and optimal range for supporting the health of catfish. TDS sensor readings showed a value of 300 ppm, suggesting that the concentration of dissolved particles is ideal for the well-being of the fish. Furthermore, temperature measurements from the DS18B20 sensor recorded a water temperature of 28°C, which falls within the optimal range for catfish growth (28–30°C). These conditions create a stable environment that supports the healthy growth of fish in the aquaponics system.
A Mobile App for Counting Shrimp Larvae Based on the YOLO V5 Method Asmak, Shochibah Yatimatul; Rizaldi, Denny Daffa; Saputra, Rendy Adi Fatma; Abseno, Anan Pepe; Hananto, Valentinus Robi; Oktarina, Eka Sari
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 5 No. 2 (2024): December
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v5i2.647

Abstract

Manual counting of shrimp larvae in aquaculture is labour-intensive and time-consuming. This study aims to develop a mobile application to automate the counting process using an object detection algorithm. The application features dual functionality for real-time camera capture and image upload. Model performance was evaluated using several metrics, including Mean Average Precision, precision, and recall. The object detection model achieved a Mean Average Precision (mAP) of 93.93%, precision of 91%, and recall of 89.3%. Trials of the application demonstrated an average accuracy rate of 91.03% in detecting shrimp larvae. Despite challenges in detecting transparent larvae and distinguishing them from debris, the results indicate that the application holds promise for enhancing efficiency in shrimp farming operations. Future improvements may be directed towards enhancing application performance by refining the dataset and tuning model parameters to increase recall without compromising precision. This study represents a significant step towards integrating AI-driven technologies into aquaculture, potentially transforming the shrimp larvae counting and management process in the industry.

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