PENERAPAN FUZZY C-MEANS DALAM SISTEM PENDUKUNG KEPUTUSAN UNTUK PENENTUAN PENERIMA BANTUAN LANGSUNG MASYARAKAT (BLM) PNPM-MPd (Studi Kasus : PNPM-MPd Kec. Ngadirojo Kab. Pacitan)
PNPM Rural is a program to accelerate poverty reduction in an integrated and sustainable manner. The form of the PNPM-MPd activities is to provide direct aid to the people. Activities which will be funded through direct aid society (BLM) fund with the criteria according to the terms of PNPM-MPd, suc...
| Main Authors: | , |
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| Format: | Thesis |
| Published: |
[Yogyakarta] : Universitas Gadjah Mada
2012
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| Subjects: |
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| author | , AZIZ AHMADI , Dra. Sri Hartati, M.Sc., Ph.D |
| author_facet | , AZIZ AHMADI , Dra. Sri Hartati, M.Sc., Ph.D |
| author_sort | , AZIZ AHMADI |
| collection | UGM |
| description | PNPM Rural is a program to accelerate poverty reduction in an integrated and
sustainable manner. The form of the PNPM-MPd activities is to provide direct aid to
the people. Activities which will be funded through direct aid society (BLM) fund
with the criteria according to the terms of PNPM-MPd, such as urgent to implement,
more beneficial to the poor, the community can be done, rate of successful
development and sustainability and supported by existing resources. Eligibility
criteria is used to prioritize proposals that will produce a list ranking the proposals. In
the ranking of the input data is qualitative data which is aid recipients criteria with
weight value varying each criteria. The output system is the ranking of village
activity proposal and categories of village proposal, which is whether or not the
proposal to receive aid from the PNPM MPd.
Grouping data using fuzzy c-means clustering method is to generate random
numbers as the initial partition matrix, calculate the cluster center, calculate the
objective function, and calculate the change in each matrix partitions. Iteration stop
when the condition has been fulfilled, then the cluster center is obtained. Each cluster
will be sorted by the proximity of data element to the center of the cluster to get the
rank.
of system, Through some the result was obtained which is grouping and ranking of aid
proposal data. The form of cluster are influenced by the input of multiple input in the fuzzy cmeans
process, such as the number of iterations, the degree, and the smallest error, but it is
not affected by the objective function and the first iteration. |
| first_indexed | 2024-03-13T22:46:38Z |
| format | Thesis |
| id | oai:generic.eprints.org:118446 |
| institution | Universiti Gadjah Mada |
| last_indexed | 2024-03-13T22:46:38Z |
| publishDate | 2012 |
| publisher | [Yogyakarta] : Universitas Gadjah Mada |
| record_format | dspace |
| spelling | oai:generic.eprints.org:1184462016-03-04T08:45:24Z https://repository.ugm.ac.id/118446/ PENERAPAN FUZZY C-MEANS DALAM SISTEM PENDUKUNG KEPUTUSAN UNTUK PENENTUAN PENERIMA BANTUAN LANGSUNG MASYARAKAT (BLM) PNPM-MPd (Studi Kasus : PNPM-MPd Kec. Ngadirojo Kab. Pacitan) , AZIZ AHMADI , Dra. Sri Hartati, M.Sc., Ph.D ETD PNPM Rural is a program to accelerate poverty reduction in an integrated and sustainable manner. The form of the PNPM-MPd activities is to provide direct aid to the people. Activities which will be funded through direct aid society (BLM) fund with the criteria according to the terms of PNPM-MPd, such as urgent to implement, more beneficial to the poor, the community can be done, rate of successful development and sustainability and supported by existing resources. Eligibility criteria is used to prioritize proposals that will produce a list ranking the proposals. In the ranking of the input data is qualitative data which is aid recipients criteria with weight value varying each criteria. The output system is the ranking of village activity proposal and categories of village proposal, which is whether or not the proposal to receive aid from the PNPM MPd. Grouping data using fuzzy c-means clustering method is to generate random numbers as the initial partition matrix, calculate the cluster center, calculate the objective function, and calculate the change in each matrix partitions. Iteration stop when the condition has been fulfilled, then the cluster center is obtained. Each cluster will be sorted by the proximity of data element to the center of the cluster to get the rank. of system, Through some the result was obtained which is grouping and ranking of aid proposal data. The form of cluster are influenced by the input of multiple input in the fuzzy cmeans process, such as the number of iterations, the degree, and the smallest error, but it is not affected by the objective function and the first iteration. [Yogyakarta] : Universitas Gadjah Mada 2012 Thesis NonPeerReviewed , AZIZ AHMADI and , Dra. Sri Hartati, M.Sc., Ph.D (2012) PENERAPAN FUZZY C-MEANS DALAM SISTEM PENDUKUNG KEPUTUSAN UNTUK PENENTUAN PENERIMA BANTUAN LANGSUNG MASYARAKAT (BLM) PNPM-MPd (Studi Kasus : PNPM-MPd Kec. Ngadirojo Kab. Pacitan). UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=58399 |
| spellingShingle | ETD , AZIZ AHMADI , Dra. Sri Hartati, M.Sc., Ph.D PENERAPAN FUZZY C-MEANS DALAM SISTEM PENDUKUNG KEPUTUSAN UNTUK PENENTUAN PENERIMA BANTUAN LANGSUNG MASYARAKAT (BLM) PNPM-MPd (Studi Kasus : PNPM-MPd Kec. Ngadirojo Kab. Pacitan) |
| title | PENERAPAN FUZZY C-MEANS DALAM SISTEM PENDUKUNG KEPUTUSAN UNTUK PENENTUAN PENERIMA BANTUAN LANGSUNG MASYARAKAT (BLM) PNPM-MPd
(Studi Kasus : PNPM-MPd Kec. Ngadirojo Kab. Pacitan) |
| title_full | PENERAPAN FUZZY C-MEANS DALAM SISTEM PENDUKUNG KEPUTUSAN UNTUK PENENTUAN PENERIMA BANTUAN LANGSUNG MASYARAKAT (BLM) PNPM-MPd
(Studi Kasus : PNPM-MPd Kec. Ngadirojo Kab. Pacitan) |
| title_fullStr | PENERAPAN FUZZY C-MEANS DALAM SISTEM PENDUKUNG KEPUTUSAN UNTUK PENENTUAN PENERIMA BANTUAN LANGSUNG MASYARAKAT (BLM) PNPM-MPd
(Studi Kasus : PNPM-MPd Kec. Ngadirojo Kab. Pacitan) |
| title_full_unstemmed | PENERAPAN FUZZY C-MEANS DALAM SISTEM PENDUKUNG KEPUTUSAN UNTUK PENENTUAN PENERIMA BANTUAN LANGSUNG MASYARAKAT (BLM) PNPM-MPd
(Studi Kasus : PNPM-MPd Kec. Ngadirojo Kab. Pacitan) |
| title_short | PENERAPAN FUZZY C-MEANS DALAM SISTEM PENDUKUNG KEPUTUSAN UNTUK PENENTUAN PENERIMA BANTUAN LANGSUNG MASYARAKAT (BLM) PNPM-MPd
(Studi Kasus : PNPM-MPd Kec. Ngadirojo Kab. Pacitan) |
| title_sort | penerapan fuzzy c means dalam sistem pendukung keputusan untuk penentuan penerima bantuan langsung masyarakat blm pnpm mpd studi kasus pnpm mpd kec ngadirojo kab pacitan |
| topic | ETD |
| work_keys_str_mv | AT azizahmadi penerapanfuzzycmeansdalamsistempendukungkeputusanuntukpenentuanpenerimabantuanlangsungmasyarakatblmpnpmmpdstudikasuspnpmmpdkecngadirojokabpacitan AT drasrihartatimscphd penerapanfuzzycmeansdalamsistempendukungkeputusanuntukpenentuanpenerimabantuanlangsungmasyarakatblmpnpmmpdstudikasuspnpmmpdkecngadirojokabpacitan |