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All Journal Jurnal Pekommas Journal of Information Technology and Its Utilization Journal of Information Technology and Its Utilization
Tasmil Tasmil
Balai Besar Pengkajian dan Pengembangan Komunikasi dan Informatika Makassar Jl. Prof. Abdurahman Basalamah II no. 25 Makassar
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Mechanical Engineering

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Journal : Journal of Information Technology and Its Utilization

 1 
RABIN-CARP IMPLEMENTATION IN MEASURING SIMALIRITY OF RESEARCH PROPOSAL OF STUDENTS Herman, Herman; Syafie, Lukman; Tasmil, Tasmil; Resha, Muhammad
Journal of Information Technology and Its Utilization Vol 3, No 1 (2020)
Publisher : Balai Besar Pengembangan SDM dan Penelitian Komunikasi dan Informatika Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.3.1.3210

Abstract

Plagiarism is the use of data, language and writing without including the original author or source. The place where palgiate practice occurs most often is the academic environment. In the academic world, the most frequently plagiarized thing is scientific work, for example thesis. To minimize the practice of plagiarism, it is not enough to just remind students. Therefore we need a system or application that can help in measuring the level of similarity of student thesis proposals in order to minimize plagiarism practice. In computer science, the Rabin-Karp algorithm can be used in measuring the level of similarity of texts. The Rabin-Karp algorithm is a string matching algorithm that uses a hash function as a comparison between the search string (m) and substrings in text (n). The Rabin-Karp algorithm is a string search algorithm that can work for large data sizes. The test results show that the use of values on k-gram has an effect on the results of the measurement of similarity levels. In addition, it was also found that the use of the value 5 on k-gram was faster in executing than the values 4 and 6.
SMART GOVERNMENT MONITORING POPULATION ADMINISTRATION IN GATTARENG TOA VILLAGE, MARIORIWAWO SUBDISTRICT, SOPPENG DISTRICT Tasmil, Tasmil
Journal of Information Technology and Its Utilization Vol 1, No 2 (2018)
Publisher : Balai Besar Pengembangan SDM dan Penelitian Komunikasi dan Informatika Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.1.2.1737

Abstract

This study aims to design and apply smart government monitoring of population administration applied by using Hypertext Preprocesor (PHP), MySql and C# with online server in Gattareng Toa Village, Marioriwawo Subdistrict, Soppeng District This data is obtained through (1) Field Research (2) Research Library (3) Interview. Data were analyzed by pieces analysis. The results of the study  indicated that the Smart Government Monitoring Population Administration can help the system of population administration work in monitoring Population Administration in Gattareng Toa Village, Marioriwawo Subdistrict, Soppeng District
IMPLEMENTATION OF MOMENT INVARIANT IN RECOGNIZING OF ELECTRICAL METER NUMBERS Syafie, Lukman; Herman, Herman; Alam, Nur; Tasmil, Tasmil
Journal of Information Technology and Its Utilization Vol 3, No 1 (2020)
Publisher : Balai Besar Pengembangan SDM dan Penelitian Komunikasi dan Informatika Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.3.1.3194

Abstract

Implementation of computer vision can be done in the introduction of images or pictures of characters of numbers or letters. Based on this, then the computer vision can be used in the introduction of numbers on the electric meter or commonly called kWh meter. The underlying thing for the electric meter to be the object of research is to look at the situation, where the electric meter recorder keeps the record using the camera. Furthermore, the value shown on the electric meter will be inputted manually. Manual input requires a relatively long time because the amount of electricity meter input value is not small data. One method that can be used in recognizing the shape of the image in computer vision is the invariant moment. The results of this study indicate that the quality of the image gives effect, both in terms of the extraction of features and the accuracy of the recognition of the figure on the image of the electric meter. In addition to this, the threshold value of the euclidian distance method should also be used to limit the recognition process.
DESIGN WEB-BASED ELECTRICAL CONTROL SYSTEM USING RASPBERRY PI Indra, Dolly; Tasmil, Tasmil; Herman, Herman; Mansyur, St. Hajrah; Alwi, Erick Irawadi
Journal of Information Technology and Its Utilization Vol 2, No 1 (2019)
Publisher : Balai Besar Pengembangan SDM dan Penelitian Komunikasi dan Informatika Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.2.1.2275

Abstract

The use of current website technology can be applied as a control and monitoring system, which is used to control electrical devices, so that the user can only control the PC or smartphone that has been connected to Wi-Fi or the Internet. In this case the control uses the Raspberry Pi Mini PC which has several advantages such as low power and is relatively easy when connected with a web server compared to a microcontroller. By utilizing the Raspberry Pi Mini PC as a web server, it can replace PC functions in general. The results in this study are the Electric Control System that has been made capable of controlling 4 AC voltage electronics as well as 4 relays with each relay capable of bearing a maximum load of 2200 watts using a power supply on the Raspberry Pi which has a minimum of 0.7 amperes and Control of electrical load can be done within a distance of 0 meters - 15 meters from the wireless router
Co-Authors Dolly Indra, Dolly Erick Irawadi Alwi, Erick Irawadi Herman Herman Mansyur, St. Hajrah Mansyur, St. Hajrah Nur Alam Resha, Muhammad Syafie, Lukman