Repositori Universitas Malikussaleh
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Classification of Determination the Recipients of the Program Keluarga Harapan (PKH) Using K-Nearest Neighbor Algorithm
Full text linkClassification is one method of data miningtechniques for classifying data by system according to predetermined rules. In this study, the algorithm used was K-Nearest Neighbor (KNN) algorithm and the data used in this study was the community data obtained from Kantor Desa Gampong Uteun Geulinggang, Dewantara, in Aceh Utara. The main focus of this study was to analyzing and applying K-NN algorithm in a web-based system to classify data on beneficiaries of the Program Keluarga Harapan (PKH) in Gampong Uteun Geulinggang, Dewantara, Aceh Utara. This study used 16 (sixteen) criterias, namely house status, floor area, floor type, gas cylinder, refrigerator, air conditioner, water heater, television, jewelry/gold (10 grams), computer/laptop, bicycle, motorcycle, car, cow, buffalo and goat. The data was classified into 3 classes, namely worthy, not unworthy and very unworthy. The results of this study with a value of k = 3, obtained a precision value of 97%, recall value of 95% and the accuracy value of 97
Plagiat Artikel: Efek Penggunakan Jenis Media Dan Konsentrasi Nutrisi Pada Pertumbuhan Tanaman Seledri (Apium graveolens L.) Secara Hidroponik
Full text linkLembar Review (Apakah Belanja Modal dan Belanja Sosial Meningkatkan Pertumbuhan Ekonomi? Bukti Data Panel di Indonesia)
No full textPenelitian ini menganalisis pengaruh belanja modal dan belanja sosial terhadap pertumbuhan ekonomi
daerah di Indonesia. Menggunakan data panel 24 provinsi selama periode 2005-2018, data dianalisis menggunakan peralatan ekonometrik regresi panel pendekatan fixed effect. Penelitian menemukan bahwa belanja modal dan belanja sosial secara signifikan dapat meningkatkan pertumbuhan ekonomi. Semakin besar realisasi anggaran daerah untuk kedua belanja tersebut semakin tinggi pertumbuhan ekonomi.
Kata kunci: Pertumbuhan Ekonomi; Belanja Modal; Belanja Sosial; Regresi Panel
Reviewer Artikel pada Journal IJICC: Investigating the Water Service of Regional Development in the City Needs using AHP Model
No full textReviewer Artikel pada Journal MORFAL: Internal Factor of Systematic risk with Information Technology as Intervening Variables to Increasing Quality of Goverment Financial Reports In Indonesia ;Actual Case from Riau Island Province
No full textReviewer Artikel pada Journal OPCION: Modelling of the Zakat payment behaviour in Aceh, Indonesia
No full textHasil Reviewer Artikel Jurnal Coprporate Governance Institusional ounership, Free Cass Flow and Invesment Efficiency: Evidence of Indonesian Agreculture Firm
No full textHasil Similarity Check Artikel pada Jurnal IJESTY: Sterilizer Reliability Analysis Using Reliability Block Diagram Based on Failure Identification Through Fault Tree Analysis.
No full textHasil Penilaian Sejawat Sebidang Jurnal:Automatic Control System Using Arduino UNO and Web-Based Monitoring For Watering Chili Plants
No full textOnline Newspaper Clustering in Aceh using the Agglomerative Hierarchical Clustering Method
No full textThe rapid progress in the field of information technology, especially the internet, has given birth to a lot of information. The ease of
publishing an article on a website causes an explosion of news pages which will certainly confuse readers. The diversity and the
increasing number of news articles make it increasingly difficult for internet users to find news and large piles of news data on online
newspaper sites in Aceh. The grouping of text documents is needed to classify news in online newspapers in Aceh based on the content
contained in news articles. In this study, the process of grouping online news in Aceh was tried using the Agglomerative Hierarchical
Clustering method. News is grouped with a Bottom-Up design strategy that starts with placing each object as a cluster then combined
into a larger cluster based on the similarity of keywords in each news, then the cluster results are compared and put into each news category. The research design was carried out in a structured manner using data flow diagrams in forming the research framework. The study
was conducted by taking online news text data on 10 online news websites in Aceh from July 2016 to March 2017 with 1000
randomly generated documents. The process of crawling news data is done using a php script which will only take text files from the news on the website. News grouping is done based on religion, politics, law, sports, tourism, education, culture, economy and technology. The results of the grouping performance of the Agglomerative Hierarchical Clustering method in this study have an average accuracy
of 89.84%