MENDETEKSI ANOMALI PADA DATA TRANSAKSI JUAL BELI AKTA TANAH DENGAN MENGGUNAKAN ALGORITMA DECISION TREE, ISOLATION FOREST, DAN RANDOM FOREST

DWIARIPUTRA, YONATHAN HARTOKO (2022) MENDETEKSI ANOMALI PADA DATA TRANSAKSI JUAL BELI AKTA TANAH DENGAN MENGGUNAKAN ALGORITMA DECISION TREE, ISOLATION FOREST, DAN RANDOM FOREST. S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

Currently, Land Agency had been utilize information technology and communication to keep, manage, and provide land services for the public so that resulting in land databases as decisions making tool. However there has been several issue found along the way such as land certificate value abnormality in several region. Those land certificate value had been recognize as contrasted as the average land certificate value in each region. Along with the issue, come into view the initiative for finding outliers in transactin data using a machine learning model that kan be utilized for classifying the contrasted value. This paper that has the title Identifying Anomalies in Land Certificate Transaction Data using Decision Tree, Isolation Forest, and Random Forest Algorithm that contains all materials regarding Thesis's research that didn't published in the article. In this paperwork, will be explained about literature review, used dataset, along with planing steps, implementation phase, and research report results. Keywords: Classification, Outlier Detection, Decision-Tree, Isolation Forest, Random Forest, Tree-Based Classifier Instansi pertanahan saat ini telah memanfaatkan Teknologi Informasi Komunikasi dalam menyimpan, mengolah dan memberikan pelayanan pertanahan kepada masyarakat sehingga menghasilkan database pertanahan sebagai alat pendukung pengambilan keputusan. Namun demikian terdapat beberapa permasalahan antara lain masih terdapat nilai akta abnormal pada berbagai daerah. Nilai akta ini dianggap tidak sesuai dengan nilai akta rata-rata pada daerah tersebut. Dari permasalahan tersebut muncul inisiatif untuk menemukan anomali pada data transaksi jual beli dengan menggunankan sebuah model machine learning yang dapat digunakan untuk mengklasifikasikan nilai yang tidak sesuai. Kertas kerja berjudul Mendeteksi Anomali Pada Data Transaksi Jual Beli Akta Tanah Dengan Menggunakan Algoritma Decision Tree, Isolation Forest, dan Random Forest yang berisi semua material hasil penelitian Tugas Akhir yang tidak dimuat atau disertakan di artikel jurnal. Dalam kertas kerja ini akan dijelaskan mengenai literature review, dataset yang digunakan, serta langkah-langkah perancangan, tahapan implementasi dan hasil pengujian penelitian. Kata Kunci: Classification, Outlier Detection, Decision-Tree, Isolation Forest, Random Forest, TreeBased Classifier

Item Type:	Thesis (S1)
Call Number CD:	FIK/INFO. 22 183
Call Number:	SIK/15/23/001
NIM/NIDN Creators:	41517120076
Uncontrolled Keywords:	Classification, Outlier Detection, Decision-Tree, Isolation Forest, Random Forest, TreeBased Classifier
Subjects:	000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 003 Systems/Sistem-sistem > 003.5 Computer Modeling and Simulation/Model dan Simulasi Komputer > 003.56 Decision Theory/Teori Keputusan 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika 500 Natural Science and Mathematics/Ilmu-ilmu Alam dan Matematika > 510 Mathematics/Matematika > 518 Numerical Analysis/Analisis Numerik, Analisa Numerik 500 Natural Science and Mathematics/Ilmu-ilmu Alam dan Matematika > 510 Mathematics/Matematika > 518 Numerical Analysis/Analisis Numerik, Analisa Numerik > 518.1 Algorithms/Algoritma
Divisions:	Fakultas Ilmu Komputer > Informatika
Depositing User:	ADELINA HASNA SETIAWATI
Date Deposited:	15 Feb 2023 03:40
Last Modified:	15 Feb 2023 03:40
URI:	http://repository.mercubuana.ac.id/id/eprint/74136

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