SISTEMASI Pub Date : 2024-01-29 DOI: 10.32520/stmsi.v13i1.3669

Neonatal March Parera, J. J. Tambotoh

引用次数: 0

Use of Augmentation Data and Hyperparameter Tuning in Batik Type Classification using the CNN Model 在使用 CNN 模型进行蜡染类型分类时使用增强数据和超参数调整

SISTEMASI Pub Date : 2024-01-29 DOI: 10.32520/stmsi.v13i1.3395

Siti Auliaddina, Toni Arifin

引用次数: 0

Development of Folk Games as an Android-Based Game for Advancement Riau Malay Culture 开发基于安卓的民间游戏，促进廖内马来文化的发展

SISTEMASI Pub Date : 2024-01-29 DOI: 10.32520/stmsi.v13i1.3770

Panji Rachmat Setiawan, Syefriani Syefriani, Rizky Wandri, Firly Bagdja Pangestu

引用次数: 0

Classification of Eligibility for BPNT Recipients Using the K-Nearest Neighbor Algorithm 使用 K 近邻算法对 BPNT 受助人的资格进行分类

SISTEMASI Pub Date : 2024-01-29 DOI: 10.32520/stmsi.v13i1.3250

Eka Rahayu, Novica Irawati, Ricki Ananda

{"title":"Classification of Eligibility for BPNT Recipients Using the K-Nearest Neighbor Algorithm","authors":"Eka Rahayu, Novica Irawati, Ricki Ananda","doi":"10.32520/stmsi.v13i1.3250","DOIUrl":"https://doi.org/10.32520/stmsi.v13i1.3250","url":null,"abstract":"BPNT (Non-Cash Food Assistance) is food social assistance in non-cash form from the government which is given to Beneficiary Families (KPM) every month. In its implementation, BPNT is still encountering a number of obstacles, one of which is in terms of distribution of aid which has not been optimal in several areas, including in Mekar Sari Village, Kec.Pulau Rakyat, Kab. Sharpen. In carrying out the BPNT program, many residents complained that they did not receive this assistance, but they felt they had the right to receive assistance like the others. The aim of the research is to apply the K-Nearest Neighbor algorithm so that it can help the process of classifying data on citizens who are eligible or not eligible to receive non-cash food assistance (BPNT). The method used uses the application of data mining classification techniques with the K-Nearest Neighbor algorithm. Based on the results of implementing the K-Nearest Neighbor data mining algorithm, the results of the system created can predict and help the village government to make decisions and describe residents who are eligible and not eligible for BPNT assistance using data on poor residents recorded in Mekar Sari Village, Kec. People's Island, Kab. Asahan by using the K-Nearest Neighbor algorithm data mining system.","PeriodicalId":518924,"journal":{"name":"SISTEMASI","volume":"4 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140529828","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

Mapping Information Technology Governance Using the Design Factor Framework COBIT 2019 at PT. XYZ 在 PT.XYZ

SISTEMASI Pub Date : 2024-01-29 DOI: 10.32520/stmsi.v13i1.3599

U. Afifah, Steffi Adam, M. Marfuah

引用次数: 0

Implementation of the K-Means Algorithm in Sales Clustering at a Company using the KDD Methodology 使用 KDD 方法在一家公司的销售聚类中实施 K-Means 算法

SISTEMASI Pub Date : 2024-01-29 DOI: 10.32520/stmsi.v13i1.3074

Milla Rochmawati, Ganes Wisnu Cahya Bagaskara, Ismail Adhiya Adha, Yuyun Umaidah, Apriade Voutama

引用次数: 0

Classification of Flood-Prone Areas Using 10-Fold Cross Validation and K-Nearest Neighbors 使用 10 倍交叉验证和 K-近邻对洪水易发区进行分类

SISTEMASI Pub Date : 2024-01-29 DOI: 10.32520/stmsi.v13i1.3637

Adyatma Andhika Bagaskara, K. Hartomo