EVALUASI PELAKSANAAN KEGIATAN SERTIPIKASI MASSAL SWADAYA DI KANTOR PERTANAHAN KABUPATEN PURWOREJO

One of the government's land management based on article 19 of Law - Basic Agrarian Law is the provision of legal certainty to the subject of rights through land registration activities. Acceleration of land certification activities conducted by government for all land parcels in the territory...

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Main Authors: , Budi Setyani, , Ir. Slamet Basuki, M.Si.
Format: Thesis
Published: [Yogyakarta] : Universitas Gadjah Mada 2011
Subjects:
ETD
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author , Budi Setyani
, Ir. Slamet Basuki, M.Si.
author_facet , Budi Setyani
, Ir. Slamet Basuki, M.Si.
author_sort , Budi Setyani
collection UGM
description One of the government's land management based on article 19 of Law - Basic Agrarian Law is the provision of legal certainty to the subject of rights through land registration activities. Acceleration of land certification activities conducted by government for all land parcels in the territory of the Republic of Indonesia can be registered. Efforts made to complete certification in Indonesia is increasing land services based informatics / Land Office Computerization (LOC), shuttle service Larasita ball (People's Service for Certification of Land) and the strengthening of rights - the right of the people of the land mass through self-certification. This research aims to design an evaluation system of mass self-certification activities at the District Land Office Purworejo and know the level of success of the activities in question. Evaluation system used in this research is artificial neural network backpropagation training. The basic principle of backpropagation training is to make the learning of nodes included in nerve tissue, so as to achieve the smallest error and most close to the target set. Nodes are included in the neural network is a set of data which is a combination of the weights of each variable. Learning is done in two phases: forward propagation and back propagation stage. Calibration on the research data sets were selected after the learning process is over, the testing process is in principle is a step forward propagation using weights and biases values last produced at the time of learning. The results of this research, the activity of mass self-certification in the District Land Office Purworejo categorized the level of success in the medium. Methods of training backpropagation neural networks are able to evaluate the mass self-certification activities and produce a relatively small error values against the target set.
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spelling oai:generic.eprints.org:886532014-08-20T02:50:39Z https://repository.ugm.ac.id/88653/ EVALUASI PELAKSANAAN KEGIATAN SERTIPIKASI MASSAL SWADAYA DI KANTOR PERTANAHAN KABUPATEN PURWOREJO , Budi Setyani , Ir. Slamet Basuki, M.Si. ETD One of the government's land management based on article 19 of Law - Basic Agrarian Law is the provision of legal certainty to the subject of rights through land registration activities. Acceleration of land certification activities conducted by government for all land parcels in the territory of the Republic of Indonesia can be registered. Efforts made to complete certification in Indonesia is increasing land services based informatics / Land Office Computerization (LOC), shuttle service Larasita ball (People's Service for Certification of Land) and the strengthening of rights - the right of the people of the land mass through self-certification. This research aims to design an evaluation system of mass self-certification activities at the District Land Office Purworejo and know the level of success of the activities in question. Evaluation system used in this research is artificial neural network backpropagation training. The basic principle of backpropagation training is to make the learning of nodes included in nerve tissue, so as to achieve the smallest error and most close to the target set. Nodes are included in the neural network is a set of data which is a combination of the weights of each variable. Learning is done in two phases: forward propagation and back propagation stage. Calibration on the research data sets were selected after the learning process is over, the testing process is in principle is a step forward propagation using weights and biases values last produced at the time of learning. The results of this research, the activity of mass self-certification in the District Land Office Purworejo categorized the level of success in the medium. Methods of training backpropagation neural networks are able to evaluate the mass self-certification activities and produce a relatively small error values against the target set. [Yogyakarta] : Universitas Gadjah Mada 2011 Thesis NonPeerReviewed , Budi Setyani and , Ir. Slamet Basuki, M.Si. (2011) EVALUASI PELAKSANAAN KEGIATAN SERTIPIKASI MASSAL SWADAYA DI KANTOR PERTANAHAN KABUPATEN PURWOREJO. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=50870
spellingShingle ETD
, Budi Setyani
, Ir. Slamet Basuki, M.Si.
EVALUASI PELAKSANAAN KEGIATAN SERTIPIKASI MASSAL SWADAYA DI KANTOR PERTANAHAN KABUPATEN PURWOREJO
title EVALUASI PELAKSANAAN KEGIATAN SERTIPIKASI MASSAL SWADAYA DI KANTOR PERTANAHAN KABUPATEN PURWOREJO
title_full EVALUASI PELAKSANAAN KEGIATAN SERTIPIKASI MASSAL SWADAYA DI KANTOR PERTANAHAN KABUPATEN PURWOREJO
title_fullStr EVALUASI PELAKSANAAN KEGIATAN SERTIPIKASI MASSAL SWADAYA DI KANTOR PERTANAHAN KABUPATEN PURWOREJO
title_full_unstemmed EVALUASI PELAKSANAAN KEGIATAN SERTIPIKASI MASSAL SWADAYA DI KANTOR PERTANAHAN KABUPATEN PURWOREJO
title_short EVALUASI PELAKSANAAN KEGIATAN SERTIPIKASI MASSAL SWADAYA DI KANTOR PERTANAHAN KABUPATEN PURWOREJO
title_sort evaluasi pelaksanaan kegiatan sertipikasi massal swadaya di kantor pertanahan kabupaten purworejo
topic ETD
work_keys_str_mv AT budisetyani evaluasipelaksanaankegiatansertipikasimassalswadayadikantorpertanahankabupatenpurworejo
AT irslametbasukimsi evaluasipelaksanaankegiatansertipikasimassalswadayadikantorpertanahankabupatenpurworejo