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Sonita , Anisya
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Computer Science & IT Electrical & Electronics Engineering

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Classification Of Accident Proposed Road Data Traffic In Bengkulu City Using K-Means Algorithm Anggara, Muhammad Andre; Sonita , Anisya; Rifqo, Muhammad Husni; Wijaya, Ardi
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.v3i2.1188

Abstract

A traffic accident is an event where a motorized vehicle collides with another object and causes damage. Traffic accident data at the Bengkulu City Police LAKA LANTAS (Traffic Accident) Unit is only used as data reporting where the accident data can actually help to reduce the number of traffic accidents by grouping to facilitate the police in proper handling efforts to reduce the number of traffic accidents. traffic accidents by classifying accident-prone roads. One of the approaches used in developing the clustering method is the K-Means Clustering method, where this method is a data grouping method that attempts to partition data into two or more groups (clusters) with the same characteristics into the same group. The results and discussion of the research obtained a system capable of classifying accident-prone roads using the k-means method. From the tests carried out this system can be used by the POLRESTA in helping these problems.
Application Design For Palm Oil Ramp Search in North Bengkulu Web Based GIS Herianto, Agib Kristian; Sonita , Anisya; Muntahanah, Muntahanah; Darnita , Yulia
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.v3i2.1615

Abstract

The development of the world of oil palm plantations in the Bengkulu region is growing very rapidly and one of them is the North Bengkulu district. With the increasing number of oil palm plantations, most people do not know where to sell the products from their oil palm plantations. The lack of available information and the unclear distance to the location makes it difficult for farmers to sell the products from their plantations. This research is aimed at solving problems by creating new applications. a smartphone (Android) based application which aims to provide solutions to the public so that they can easily find out where they are and how far they have to go to reach the oil palm road they want without being limited by time or place. GIS-based applications have been proven to have a major impact on economic and social development, and the use of GIS has become a current trend. The GIS application was developed to help search for and locate oil palm RAMPs. The aim of this research is to help oil palm farmers find and determine the best locations to sell their crops. They can also compare the selling prices of the most expensive palm oil. For this application, the Android operating system is combined with Google Maps, a web-based virtual world map service created by Google. This application has features such as the name of the palm ramp owner, a map of the palm ramp location, palm oil prices, location suggestions, palm oil views, application instructions, and much.
Co-Authors Anggara, Muhammad Andre Darnita , Yulia Herianto, Agib Kristian Muntahanah, Muntahanah Rifqo, Muhammad Husni Wijaya, Ardi