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ELKHA : Jurnal Teknik Elektro
Published by Universitas Tanjungpura
ISSN : 18581463     EISSN : 25806807     DOI : http://dx.doi.org/10.26418
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering
The ELKHA publishes high-quality scientific journals related to Electrical and Computer Engineering and is associated with FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia / Indonesian Electrical Engineering Higher Education Forum). The scope of this journal covers the theory development, design and applications on Automatic Control, Electronics, Power and Energy Systems, Telecommunication, Informatics, and Industrial Engineering.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 12 Documents
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Search results for , issue "Vol.11 No.2, October 2019" : 12 Documents clear
Pengenalan Pola Sidik Jari Menggunakan Multi-Class Support Vector Machine Andreansyah, Agus; Gusa, Rika Favoria; Jumnahdi, Muhammad
ELKHA : Jurnal Teknik Elektro Vol.11 No.2, October 2019
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2969.832 KB) | DOI: 10.26418/elkha.v11i2.34055

Abstract

In exposing criminal acts, it is necessary to have a concrete piece of evidence, one of which is by using the role of fingerprints. Police fingerprint identification uses supporting tools such as the INAFIS Portable System (IPS). The process of reading fingerprints using this IPS tool, usually decreases image quality which causes obstacles in reading or analyzing fingerprint patterns. Nowadays digital image processing techniques have been widely used to conduct analysis and pattern recognition. This of course, can be used to perform fingerprint pattern recognition based on texture characteristics. In this study, a system was created that was able to recognize the types of fingerprint patterns as a form of digital technology development (image processing). In this analysis system research, the Gray Level Co-Occurence Matrix (GLCM) method is used by utilizing feature feature extraction by paying attention to the pixel relationship and Multi-Class Support Vector Machine (Multi-SVM) as an introduction to fingerprint pattern types. The data used in this study were fingerprint images of scanning results from IPS tools in the form of arch, left loop, plain whorl, right loop, and twinted loop patterns. Testing this analysis system produces varying degrees of success. The average success rate on this system uses training data which is 91.6% with the highest percentage success rate of 100% in the type of arch, left loop, and plain whorl pattern. While the average success using test data is 66% with the highest percentage success rate of 100% in the arch pattern type.
SMART IRRIGATION SYSTEM BERBASIS ARDUINO candra, joni; Maulana, Algifanri
ELKHA : Jurnal Teknik Elektro Vol.11 No.2, October 2019
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2841.537 KB) | DOI: 10.26418/elkha.v11i2.34500

Abstract

Based on the Batam City government program to increase the food security of Batam City so as not to depend on other regions where Batam City has been fulfilling its basic needs such as rice, fruit and vegetables, import  from West Sumatra and North Sumatra, the success of its food security program will specifically choose an island to develop agriculture because each island in the Batam Islands is not suitable to be designed as an industrial area so that the specificity of an island developed for agriculture is needed. To participate in supporting the Batam City government program in developing food security in agriculture, a good irrigation or irrigation system is needed. The problem of irrigation water distribution occurs when the amount of water available is smaller than the needs of irrigation water, especially during the dry season. So that efficient use of irrigation water is needed. The uneven distribution of water due to poor management of irrigation water sources will greatly affect the success of the production of an agricultural product. to build a smart irrigation system using soil moiture sensors and Arudino-based water level sensors, it can be seen that the prototype system can function because the components used work in the order, and the results are obtained when the sensor water level is greater than 600 then the LED lights live red and buzzer will sound loudly indicating water tank below the level, when the value of soil moisture sensor is greater or equal to 700 then the red LED light is on and the buzzer sounds low indicating dray soil conditions and the water pump / selenoid valve will be on and green LED lights will live, when the value of soil moisture sensor is smaller 700 then the live yellow LED lights show moist soil and water pump / selenoid valve conditions, and when the value of soil moisture sensor is smaller than 300 then the blue LED light will live shows Soggy soil and water pump / selenoid valve off, the prototype of the smart irrigation system has the same design as it has been made.

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