Journal of Advanced Computer Knowledge and Algorithms最新文献_第2页

Cover, Editorial Board, Acknowledgement and Table of Contents 封面、编委会、致谢和目录

Journal of Advanced Computer Knowledge and Algorithms Pub Date : 2024-01-01 DOI: 10.29103/jacka.v1i1.14574

Jacka Jacka

引用次数: 0

Implementation of the Profile Matching Algorithm to Identify Outstanding Students at Pesantren Modern Misbahul Ulum 在现代米斯巴胡勒乌卢姆学校实施档案匹配算法以识别优秀学生

Journal of Advanced Computer Knowledge and Algorithms Pub Date : 2024-01-01 DOI: 10.29103/jacka.v1i1.14533

Moulana Luthfiah, B. Bustami, Fajriana Fajriana

{"title":"Implementation of the Profile Matching Algorithm to Identify Outstanding Students at Pesantren Modern Misbahul Ulum","authors":"Moulana Luthfiah, B. Bustami, Fajriana Fajriana","doi":"10.29103/jacka.v1i1.14533","DOIUrl":"https://doi.org/10.29103/jacka.v1i1.14533","url":null,"abstract":"This research aims to design a decision support system to identify outstanding students at the Misbahul Ulum Modern Islamic Boarding School. Although determining outstanding students is done by taking the average score from all aspects of the criteria, the evaluation process which is still carried out manually takes quite a long time. Therefore, a computerized decision support system is needed to help make decisions more efficiently and accurately. This system was developed using the PHP programming language. The aim of this research is to overcome obstacles in recognizing outstanding students at the Misbahul Ulum Modern Islamic Boarding School by applying the Profile Matching Algorithm. This method can provide the best data by comparing alternative values and predetermined criteria. This research contributes to the development of educational technology and facilitates the introduction of outstanding students at the Misbahul Ulum Modern Islamic Boarding School. By determining the criteria aspects, determining the weight value of each aspect, finding the GAP value, and carrying out a ranking process, this research produces objective results. Involving 252 students from grades 7-11, this research produced a final grade for each student. The calculation results show that Zikril got the highest score, while Asma Biwi got the lowest score.","PeriodicalId":516688,"journal":{"name":"Journal of Advanced Computer Knowledge and Algorithms","volume":"19 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140517593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Application of the K-Nearest Neighbor (KNN) Method to Determine House Locations in the Batuphat and Tambon Tunong Areas, Aceh 应用 K-近邻 (KNN) 法确定亚齐省 Batuphat 和 Tambon Tunong 地区的房屋位置

Journal of Advanced Computer Knowledge and Algorithms Pub Date : 2024-01-01 DOI: 10.29103/jacka.v1i1.14531

Abil Khairi, Irgi Fahrezi, Irfan Sahputra, Said Fadlan Anshari

{"title":"The Application of the K-Nearest Neighbor (KNN) Method to Determine House Locations in the Batuphat and Tambon Tunong Areas, Aceh","authors":"Abil Khairi, Irgi Fahrezi, Irfan Sahputra, Said Fadlan Anshari","doi":"10.29103/jacka.v1i1.14531","DOIUrl":"https://doi.org/10.29103/jacka.v1i1.14531","url":null,"abstract":"This study aims to apply the K-Nearest Neighbors (KNN) method to find the location of a house situated precisely on the border between Batuphat and Tambon Tunong. The issue faced by the college friends is the difficulty in determining whether the house falls within the Batuphat or Tambon Tunong area. The KNN method is used due to its ability to classify based on the nearest neighbors' distance.The data used in this research includes information on the house's location and the Batuphat and Tambon Tunong areas. The training process is conducted to form the KNN model based on the known location data, while the testing process is employed to classify the unknown house location into either the Batuphat or Tambon Tunong area.The results of the study demonstrate that the KNN method can be utilized to determine the location of a house situated on the border between Batuphat and Tambon Tunong. By considering the nearest neighbors' distance, the house can be classified into one of the areas with a high level of accuracy.This research contributes to providing a solution for college friends who face difficulties in determining the house location on the Batuphat and Tambon Tunong border. The KNN method can serve as an effective tool in addressing this problem. Moreover, this study can serve as a basis for further development in the field of location classification based on the KNN method.","PeriodicalId":516688,"journal":{"name":"Journal of Advanced Computer Knowledge and Algorithms","volume":"313 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139640880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparison of the Results of the K-Nearest Neighbor (KNN) and Naïve Bayes Methods in the Classification of ISPA Diseases (Case Study: RSUD Fauziah Bireuen) K-Nearest Neighbor (KNN) 和 Naïve Bayes 方法在 ISPA 疾病分类中的结果比较（案例研究：RSUD Fauziah Bireuen）

Journal of Advanced Computer Knowledge and Algorithms Pub Date : 2024-01-01 DOI: 10.29103/jacka.v1i1.14535

Riska Yolanda Putri, Zara Yunizar, Safwandi Safwandi

引用次数: 0