Model Penambahan Fakta Baru dari Publik Menjadi Pengetahuan Sistem Pakar Berbasis Dempster's Rule of Combination untuk Mengidentifikasi Dampak Erosi
An expert system is a computer program that is knowledge-based intelligent system. Expert system use human knowledge incorporated into the computer to solve problems that generally require the expertise of an expert using inference techniques. The knowledge base is the most important element of an e...
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| Format: | Thesis |
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[Yogyakarta] : Universitas Gadjah Mada
2014
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| author | , IR. MUH. IHSAN SARITA, M.KOM. , Prof. Dra. Sri Hartati, M.Sc., Ph.D. |
| author_facet | , IR. MUH. IHSAN SARITA, M.KOM. , Prof. Dra. Sri Hartati, M.Sc., Ph.D. |
| author_sort | , IR. MUH. IHSAN SARITA, M.KOM. |
| collection | UGM |
| description | An expert system is a computer program that is knowledge-based intelligent system. Expert system use human knowledge incorporated into the computer to solve problems that generally require the expertise of an expert using inference techniques. The knowledge base is the most important element of an expert system, derived from a variety of sources documented or from experts.The limitations of experts (time and cost) to carry out the acquisition of knowledge and the rapid development of knowledge, it would require other sources of knowledge that can support expert system in order that the expert system can always actual. The knowledge from the public is one way that can be done to obtain the knowledge for an expert system. The knowledge gained must be suitable with the pre-existing knowledge in an expert system to maintain the quality of expert system. The expert system that implement public participation to obtain or sharing the knowledge, consists of 2 knowledge bases namely : expert knowledge base that contains the knowledge derived from expert (supporting knowledge element) and public knowledge base that contains the knowledge derived from the public (prior knowledge element). Supporting knowledge are used as a reference to estimate, select and assess new facts that occurred in the field to estimate erosion factors and the effects of erosion, and also used by expert system to determine the suitability between new facts from the public and the knowledge of the expert system. Prior knowledge is knowledge from the public that has been known or has been through the testing process. New facts examination carried by comparing between the correspondence truth of the giver of knowledge (public) and the coherence truth received of knowledge or expert system and compare the level of confidence with Dempster's rule of combination. New facts that can be accepted if there are suitable and low coefficient of conflict (K). Determination the level of erosion using USLE equation and visual observation to know the effects of erosion in the field. Field observations carried out at the national park of Mount Merapi Kaliurang, south part of the district of Sleman in 5 different locations (25 km from Yogyakarta) with an altitude of
approximately 600 m above sea level. Soil type is regosol with annual rainfall
average is 1582 - 2140 mm for 30 years (1981-2010).
The test results show that the new facts from the public as the result of
impact of erosion that occurs in the field are suitable or related to the level of
erosion generated by the expert system except at location 5. At location 5, level
of erosion generated by the expert system is moderate, however the impact in
the field included in the criteria is severe erosion level, so that the impact can
not be accepted as new knowledge by expert system because it had not caused
by moderate erosion. Several advantages from expert system that implement
public participation to obtain or sharing the knowledge such as: can ease the
burden of experts, the knowledge base is dynamic, it can be used in a longer time
period and more efficient than the existing expert system. There are several
obstacles that may be encountered in this expert system such as: lack of clarity
each criteria on supporting knowledge, supporting knowledge is not renewed,
the vagueness of conclusions given to the public and access to expert system. |
| first_indexed | 2024-03-13T23:42:01Z |
| format | Thesis |
| id | oai:generic.eprints.org:134275 |
| institution | Universiti Gadjah Mada |
| last_indexed | 2024-03-13T23:42:01Z |
| publishDate | 2014 |
| publisher | [Yogyakarta] : Universitas Gadjah Mada |
| record_format | dspace |
| spelling | oai:generic.eprints.org:1342752016-03-04T07:57:27Z https://repository.ugm.ac.id/134275/ Model Penambahan Fakta Baru dari Publik Menjadi Pengetahuan Sistem Pakar Berbasis Dempster's Rule of Combination untuk Mengidentifikasi Dampak Erosi , IR. MUH. IHSAN SARITA, M.KOM. , Prof. Dra. Sri Hartati, M.Sc., Ph.D. ETD An expert system is a computer program that is knowledge-based intelligent system. Expert system use human knowledge incorporated into the computer to solve problems that generally require the expertise of an expert using inference techniques. The knowledge base is the most important element of an expert system, derived from a variety of sources documented or from experts.The limitations of experts (time and cost) to carry out the acquisition of knowledge and the rapid development of knowledge, it would require other sources of knowledge that can support expert system in order that the expert system can always actual. The knowledge from the public is one way that can be done to obtain the knowledge for an expert system. The knowledge gained must be suitable with the pre-existing knowledge in an expert system to maintain the quality of expert system. The expert system that implement public participation to obtain or sharing the knowledge, consists of 2 knowledge bases namely : expert knowledge base that contains the knowledge derived from expert (supporting knowledge element) and public knowledge base that contains the knowledge derived from the public (prior knowledge element). Supporting knowledge are used as a reference to estimate, select and assess new facts that occurred in the field to estimate erosion factors and the effects of erosion, and also used by expert system to determine the suitability between new facts from the public and the knowledge of the expert system. Prior knowledge is knowledge from the public that has been known or has been through the testing process. New facts examination carried by comparing between the correspondence truth of the giver of knowledge (public) and the coherence truth received of knowledge or expert system and compare the level of confidence with Dempster's rule of combination. New facts that can be accepted if there are suitable and low coefficient of conflict (K). Determination the level of erosion using USLE equation and visual observation to know the effects of erosion in the field. Field observations carried out at the national park of Mount Merapi Kaliurang, south part of the district of Sleman in 5 different locations (25 km from Yogyakarta) with an altitude of approximately 600 m above sea level. Soil type is regosol with annual rainfall average is 1582 - 2140 mm for 30 years (1981-2010). The test results show that the new facts from the public as the result of impact of erosion that occurs in the field are suitable or related to the level of erosion generated by the expert system except at location 5. At location 5, level of erosion generated by the expert system is moderate, however the impact in the field included in the criteria is severe erosion level, so that the impact can not be accepted as new knowledge by expert system because it had not caused by moderate erosion. Several advantages from expert system that implement public participation to obtain or sharing the knowledge such as: can ease the burden of experts, the knowledge base is dynamic, it can be used in a longer time period and more efficient than the existing expert system. There are several obstacles that may be encountered in this expert system such as: lack of clarity each criteria on supporting knowledge, supporting knowledge is not renewed, the vagueness of conclusions given to the public and access to expert system. [Yogyakarta] : Universitas Gadjah Mada 2014 Thesis NonPeerReviewed , IR. MUH. IHSAN SARITA, M.KOM. and , Prof. Dra. Sri Hartati, M.Sc., Ph.D. (2014) Model Penambahan Fakta Baru dari Publik Menjadi Pengetahuan Sistem Pakar Berbasis Dempster's Rule of Combination untuk Mengidentifikasi Dampak Erosi. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=75346 |
| spellingShingle | ETD , IR. MUH. IHSAN SARITA, M.KOM. , Prof. Dra. Sri Hartati, M.Sc., Ph.D. Model Penambahan Fakta Baru dari Publik Menjadi Pengetahuan Sistem Pakar Berbasis Dempster's Rule of Combination untuk Mengidentifikasi Dampak Erosi |
| title | Model Penambahan Fakta Baru dari Publik Menjadi Pengetahuan Sistem Pakar Berbasis Dempster's Rule of Combination untuk Mengidentifikasi Dampak Erosi |
| title_full | Model Penambahan Fakta Baru dari Publik Menjadi Pengetahuan Sistem Pakar Berbasis Dempster's Rule of Combination untuk Mengidentifikasi Dampak Erosi |
| title_fullStr | Model Penambahan Fakta Baru dari Publik Menjadi Pengetahuan Sistem Pakar Berbasis Dempster's Rule of Combination untuk Mengidentifikasi Dampak Erosi |
| title_full_unstemmed | Model Penambahan Fakta Baru dari Publik Menjadi Pengetahuan Sistem Pakar Berbasis Dempster's Rule of Combination untuk Mengidentifikasi Dampak Erosi |
| title_short | Model Penambahan Fakta Baru dari Publik Menjadi Pengetahuan Sistem Pakar Berbasis Dempster's Rule of Combination untuk Mengidentifikasi Dampak Erosi |
| title_sort | model penambahan fakta baru dari publik menjadi pengetahuan sistem pakar berbasis dempster s rule of combination untuk mengidentifikasi dampak erosi |
| topic | ETD |
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