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Journal : Tadulako Science and Technology Journal

The INFORMATION SYSTEM OF OFFICE CORRESPONDENCE AND ONLINE DISPOSITION Anita Ahmad Kasim; Muhammad Bakri; Wirdayanti
Tadulako Science and Technology Journal Vol. 2 No. 1 (2021): TADULAKO SCIENCE AND TECHNOLOGY JOURNAL
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v2i1.15520

Abstract

The problems of correspondence efficiency and effectiveness as well as disposition in LPPM Universitas Tadulako related to manual management can be overcome by utilizing the current advanced technology. One of the utilization of advanced information technology is by using correspondence application system and online disposition. Correspondence management system is performed systematically and paperless which is also a solution during Covid-19 pandemics where all office administration is done from home. This research was done to build online correspondence and disposition management system in LPPM instances of LPPM Universitas Tadulako. The information system of Office Correspondence and Online Disposition of the Research and Community Dedication Institution (LPPM) of Universitas Tadulako will form paperless work system in the institution, so that it is able to improve the effectiveness of administration management performance in LPPM in the effort to improve the quality of research and community dedication in Universitas Tadulako.
E-Surveillance System Security Using RSA-AES Algorithm (Rivest Shamir Adleman - Advanced Encryption Standard) Hajra Rasmita Ngemba; Aimar Anand; Syaiful Hendra; Anita Ahmad Kasim; Elyana Aulia Chandra
Tadulako Science and Technology Journal Vol. 5 No. 1 (2024): Tadulako Science and Technology Journal
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v5i1.17175

Abstract

Introduction: The Regional Inspectorate of Central Sulawesi Province has the task of supervising and fostering the implementation of government such as conducting audits, evaluations, reviews, and monitoring. The Regional Inspectorate of Central Sulawesi Province built a system for fostering Regional Apparatus Organizations called the E- E-Monitoring system. However, the files uploaded by the Regional Device Organization have not been encrypted in this system, so this study aims to use the RSA-AES algorithm in the E-Pengawasan system to increase system security. Method: The process that occurs in the RSA-AES algorithm is that the RSA key is used to encrypt the AES key and the AES key is used to encrypt and decrypt the file. Results and Discussion: The test results used are the black box testing method and also usability testing. Black box testing is used to test whether the functions on the system are running smoothly or not and usability testing is used to test efficiency in encryption and decryption based on file size. Conclusion: Based on the tests carried out, it was found that the amount of time used to encrypt files with a file size of 1MB - 50MB was 0.182 - 0.393 seconds. The test results for decryption were found with a file size of 1MB - 50MB, namely 0.050 - 0.148 seconds.
The Implementation of K-means Algorithm for Clustering Traffic Accident Rates on the Highway Ahmad Kasim, Anita; Uyun Mubarak , Siti
Tadulako Science and Technology Journal Vol. 1 No. 1 (2020): TADULAKO SCIENCE AND TECHNOLOGY JOURNAL
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v1i1.15193

Abstract

Introduction : The increase of population in Palu City has result in increased vehicle ownership and increased the risk of traffic problems such as traffic accidents. Sofar, the accident data in the Palu Resort Police Station has not been fully utilized by the interests of related parties. Therefore, the accumulation of data will be processed by data mining techniques. This study aims to cluster the level of accidents in Palu City based on the age of the perpetrators, where the results of the clustering will be used as consideration for the more targeted socialization of traffic accidents. Based on the results of testing with 2 different centroid initialization methods, the results obtained indicatethat centroid initialization using the ranking method has an SSE value of 233.0690397 while centroid initialization using a random method has an SSE value of 356.42304. It proves that centroid initialization using ranking method has better clustering results compared to centroid initialization experiments using random methods.