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All Journal Jurnal Media Infotama JSAI (Journal Scientific and Applied Informatics) Jurnal Komputer, Informasi dan Teknologi JIMAKUKERTA
Deslianti, Dwita
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Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science

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Journal : Jurnal Komputer, Informasi dan Teknologi

 1 
Application of Hough Transformation Method for Value Analysis Rupiah Coins Rifqo, M. Husni; Darnita, Yulia; Deslianti, Dwita; Zen, Wildo
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 2 (2022): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i2.855

Abstract

Digital image processing is one of the uses of computer technology used to solve problems regarding image processing or imagery so that it is easy to process. The process of applying image processing in this study aims to detect the value analysis of Rupiah coins by applying the Hough Transformation method, with the hough transformation method is expected to detect the nominal of coins because this method is an image transformation technique that can be used to isolate an object in the image by finding its boundaries. From research that has been conducted 10 images of coins on nominal inputs in the form of rupiah coin coins with a nominal value of 100, 200, 500, and 1000 rupiah obtained an accuracy rate of 90%. This means that there are 8 test data that get a true positive (TP) information, meaning that the data is successful, 1 false positive test data (FP) means that the data is not expected because it only gets a nominal result of the etapi coin not being parameterized in the circle of the coin and 1 test data gets a false negative (FN) description, meaning that the test result is wrong in assessing the nominal of the coin due to the image resolution factor that is too small.
Analysis of The Theme Clustering Algorithm Using K-Means Method Putra, Erwin Dwika; Rifqo, Muhammad Husni; Deslianti, Dwita; Krismiyani, Krismiyani
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 2 (2022): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i2.884

Abstract

The title of this research is the analysis of the thesis theme clustering algorithm using the k-means method. The main problem is how we can find out which theme is most in demand by thesis students at the Faculty of Engineering, University of Muhammadiyah Bengkulu. This clustering uses the K-means method. The K-Means method was chosen because this method is one of the non-hierarchical data clustering methods that seeks to partition data into two or more clusters with the same characteristics included in the same cluster. The purpose of this research is to help prospective students who will write their thesis in knowing which themes are more interested in them.
ST-DBSCAN Algorithm Implementation At Riau Province Forest Fire Points (2015-2022) Faraouk, Kemal El; Witriyono, Harry; Deslianti, Dwita; Veronika, Nuri David Maria
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 1 (2023): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i1.1191

Abstract

The forest conditions in Indonesia require more serious attention as they are constantly disturbed, including incidents of forest fires. Clustering or grouping using the ST-DBSCAN algorithm will group forest fire points based on distance and time. This data can be obtained from the FIRMS (Fire Information for Resource Management System) website, which utilizes MODIS sensor data. The research implements the ST-DBSCAN algorithm using the R language, focusing on a case study in the Riau Province from 2015 to 2022. The parameters used in this research for the ST-DBSCAN algorithm are Eps1 = 0.7, Eps2 = 2, and MinPts = 2. The algorithm generates several types of clustering patterns, including Stationary, Reappearing Regular, Irregular, Occasional, and Tracks. The fire point data used in this research covers the years 2015, 2016, 2017, 2018, 2019, 2020, 2021, and 2022 in the Riau Province. The results obtained from this research include 1 Reappearing Regular pattern, 5 Tracks patterns, 1 Reappearing Irregular pattern, and 1 Stationary pattern. Within the time frame of 2015, 2016, 2017, 2018, 2019, 2020, 2021, and 2022, the highest occurrence of forest fire spots happened in the month of November 2015, reaching a total of 573 fire spots.
System Information And Application For Official Marriage Trials For Polri & PNS Members At Polda Bengkulu Hidayat, Wahyu; Diana, Diana; Rifqo, Muhammad Husni; Deslianti, Dwita
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 1 (2023): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i1.1198

Abstract

One of the stages for forming a family within the Police environment, is that each prospective bride and groom will undergo a marriage coaching session. At the Bengkulu Regional Police level, this official marriage trial is under the auspices of the Human Resources Bureau (HR). Currently, the management of files and scheduling of service marriage sessions within the Bengkulu Police is still being done manually by physically collecting the required files and processing them by the admin. The purpose of this practical work is to design and build a system that can assist in the process of applying for official marriage hearings for members of the Police & Civil Servants at the Bengkulu Regional Police. The system development method in this study uses the waterfall model. Process design on the system using DFD (Data Flow Diagram), database design using ERD (Entity Relation Diagram) and database design using MySQL.The result of this research is an information system and application for official marriage hearings for members of the National Police & Civil Servants at the Bengkulu Regional Police which can assist in the process of filing for official marriage hearings. And conduct testing of the system using the blackbox method.
Implementation Of The A* (A-Star) Algorithm For Website-Based Search Of Tourism Sites In The City Of Bengkulu Maliq, Ahmad Abdul; Darmi, Yulia; Deslianti, Dwita; Mahfuzi, AR. Walad
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 2 (2023): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i2.1213

Abstract

This study is entitled the implementation of the a* (a-star) algorithm for website-based search of tourism sites in the city of Bengkulu. The main problem ishow to build an information system search for the nearest tourism location in the city of Bengkulu. Information Systems search for this tourism locationusing the a* (a-star) algorithm method and this information system also displays information about existing tours. The a* (a-star) algorithm method was chosen because this method determines the shortest path between the starting and ending points of an existing tour. Based on the results of the discussionThe A-star algorithm is considered more effective in finding the shortest route. This is proven by testing the shortest route randomly and thoroughly 15 times for all tourist destinations. The results show that the routes generated on average are more effective and shorter than the routes generated on Google Maps.
Design Of A Decision Support System For The Provision Of Assistance To Small Medium Industry (Smi) At The Industrial And Trade Service Of Bengkulu Province Using The Topsis Method Hidayah, Agung Kharisma; Deslianti, Dwita; Marhalim, Marhalim; Anggara , Yozi
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 2 (2023): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i2.1261

Abstract

The Department of Industry and Trade (DISPERINDAG) of Bengkulu Province has the function of preparing regional government program planning for Bengkulu Province, one of these programs is providing assistance to small and medium industries in Bengkulu Province. The problem of this research is the selection process for determining the recipient of the assistance. This selection process is still done manually by selecting one by one each IKM document that will receive assistance, this is certainly quite prone to errors. This manual process results in the length of the selection process being carried out. The results of selection decisions are sometimes vulnerable to non-objectivity from the Bengkulu Province DIPERINDAG because there is no mathematical determination because all decisions come from humans. The results of this study have created a Decision Support System (DSS) to simplify the data processing process and shorten the completion time while improving the quality of decisions in determining the priority of beneficiaries to get maximum results, the TOPSIS method has also been applied. In this method, a calculation has been carried out on the IKM which is a candidate for assistance based on predetermined criteria.
Co-Authors Afthal, Rivaq Anggara , Yozi Darmi, Yulia Darnita, Yulia Diana Diana Faraouk, Kemal El hidayah, agung kharisma Krismiyani, Krismiyani Mahfuzi, AR. Walad Maliq, Ahmad Abdul marhalim, marhalim Miswanti Yuli Mukhlizar, Mukhlizar Pahrizal, Pahrizal Putra, Erwin Dwika Rahmalia, Rahmalia Rifqo, M. Husni Rifqo, Muhammad Husni Sonita, Anisya Sumarsih . . Veronika, Nuri David Maria Wahyu Hidayat Witriyono, Harry Zen, Wildo