Perangkat Lunak Bantu Paleontologi Penentuan Usia Fosil Purba Menggunakan Pendekatan Rule Based Architecture

Penulis

  • Faulinda Ely Nastiti STMIK Duta Bangsa Surakarta
  • Pipin Widyaningsih STMIK Duta Bangsa Surakarta

DOI:

https://doi.org/10.25126/jtiik.201633165

Abstrak

Abstrak

Situs Sangiran merupakan situs purba digunakan untuk musium dan konservasi fosil-fosil yang ditemukan pada kawasan Sangiran. Kegiatan konservasi dilakukan oleh seksi Eksplorasi dengan melakukan analisis laboratorium menggunakan metode relatif. Metode relatif dapat memungkinkan perbedaan hasil usia fosil. Perangkat lunak bantu dibuat dengan tujuan untuk mengurangi subjektifitas dan ketidaksamaan persepsi penentuan usia fosil.  Perangkat lunak dibangun berdasarkan kriteria lapisan tanah yang dimiliki oleh fosil tersebut dengan kaidah-kaidah yang di gunakan oleh seksi Eksplorasi Balai Besar Situs Manusia Purba Sangiran. Penelitian ini mengadopsi metode penelitian Software Engineering Expert System. Basis aturan yang digunakan adalah  metode Forward Chaining, dimana penentuan usia fosil didapatkan dari penginputan ciri-ciri lapisan tanah dimana fosil ditemukan. Perangkat Lunak Paleontology memiliki 13 basis aturan. Basis aturan penelusuran usia fosil yang dikembangkan  sesuai dengan akuisisi pengetahuan seksi Eksplorasi. Perangkat lunak membantu para ahli geologi untuk menentukan usia fosil secara objektif sesuai kaidah-kaidah penentuan umur fosil dengan metode Relatif. Pengujian tingkat kepercayaan Perangkat Lunak diukur dengan metode Certainly Factor.

Kata kunci: Sistem Pakar,Penelusuran Kedepan, Paleontology, Sangiran, Tingkat Kepercayaan

Abstract

Sangiran is an archeology site that is used as museum and fossil conservation that is found around Sangiran. Conservation activities carried out by Exploration Devision by conducting laboratory analysis using relative method.  Those result some contradiction between on the statement of the fossil age.

Then a software is built to help reduce subjectivity and perception of inequalities determining the age of fossils. The software is built based on the criteria of layers of land owned by the fossils as ruled by Sangiran Exploration Devision. This study adopts the research Software Engineering Expert System. Forward Chaining method is the basis of rules that are used, where the determination of the age of the fossils obtained from inputting the characteristics of the soil layer discovery of fossils.Paleontology software has 13 base rules to investigate the fossil age based on knowledge acquisition by Sangiran Exploration Devision. The software helps the geologists to determine the age of fossils  objectively as written on the fossils age determination. Software testing conducted to measure confidence level by using Certanly FactorMetode.

Keywords: Expert System, Forward Chaining, Paleontologi, Sangiran, Certainly Factor

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Biografi Penulis

  • Faulinda Ely Nastiti, STMIK Duta Bangsa Surakarta
    Sistem Informasi
  • Pipin Widyaningsih, STMIK Duta Bangsa Surakarta
    Sistem Informasi

Referensi

Abraham, A. (2005). Rule-based Expert Systems. (P. Sydenham & R. Thorn, Eds.)Handbook of Measuring System Design (pp. 910–919). John Wiley and Sons, Inc. doi:10.1002/0471497398.mm422

Bacchus, F., & Ady, M. (2001). Planning with resources and concurrency a forward chaining approach. IJCAI International Joint Conference on Artificial Intelligence, 417–424. Retrieved from www.cs.toronto.edu/~fbacchus/Papers/BAIJCAI01.pdf

Barry, A. (2008). Forward-Chaining Inferencing. US. Retrieved from https://www.google.com/patents/US7418434

Daniel, & Virginia, G. (2010). Impementasi Sistem Pakar untuk Mendiagnosis Penyakit Dengan Gejala Demam Menggunakan Metode Certainly Factor. Jurnal Informatika, 6(1), 25–36.

Fairuz, M. (2005). Expert System for Car Maintenance and Troubleshooting. Generation5. Retrieved March 27, 2015, from http://www.generation5.org/content/2005/CarMaintenance.asp

Fathoni, M. R. (2016). Proses Penentuan umur Metode Relatif di Sangiran. Sangiran: Balai Pelestarian Situs Manusia Purba.

Latumakulita, L. (2012). Sistem Pakar Pendiaknosa Penyakit Anak Menggunakan Certainly Factor (CF). Jurnal Ilmiah Sains, 12(2), 120–126.

Ligeza, A. (2006). Principles of Verification of Rule-Based Systems. In Logical Foundations for Rule-Based Systems (p. pp 191–198). Springer Berlin Heidelberg. doi:10.1007/3-540-32446-1_12

Noor, D. (2012). Pengantar Geologi (2nd ed., p. 2). Bogor: Pakuan University Press. Retrieved from http://www.scribd.com/doc/125112208/Pengantar-Geologi-2012-Djauhari-Noor

Nugraha, S. (2013). Lapisan Tanah dan Lingkungan Purba Sangiran. BPSMPS, 15.

Rendra, S. (2013). Sangiran Situs Fosil Purba yang Diakui Dunia. Sindonews.com. Retrieved June 4, 2016, from http://daerah.sindonews.com/read/759329/22/sangiran-situs-fosil-purba-yang-diakui-dunia-1373428660/2

Subasi, A. (2007). EEG Signal Classification using Wavelet Feature Extraction and a Mixture of Expert Model. Expert Systems with Applications, 32(4), 1084–1093. Retrieved from http://www.sciencedirect.com/science/article/pii/S0957417406000844

Susanto, C. (2015). Aplikasi Sistem Pakar untuk Menentukan Jenis Gangguan Perkembangan Mental Anak dengan Metode Certainly Factor (Studi Kasus Rumah Sakit Batara Guru Belopa). In Peran Multimedia dalam Industri Kreative dan Optimasi pPenggunaan eGoverment untuk Memperkuat Jati Diri Bangsa (pp. 36–41). Yogyakarta: STMIK AMIKOM Yogyakarta.

Tree, V. B. F. D. of M. C. P. using D. (n.d.). No Title. Expert Systems with Applications, 37(6), 4040–4049. Retrieved from http://www.sciencedirect.com/science/article/pii/S0957417409008689

Wahyu, W. P. (2012). Dasar - Dasar Program Perencanaan Dan Perancangan Arsitektur (Dp3a) Sragen Convention Centre. Universitas Muhammadiyah Surakarta. Retrieved from http://eprints.ums.ac.id/21720/

Unduhan

Diterbitkan

08-09-2016

Terbitan

Bagian

Teknologi Informasi

Cara Mengutip

Perangkat Lunak Bantu Paleontologi Penentuan Usia Fosil Purba Menggunakan Pendekatan Rule Based Architecture. (2016). Jurnal Teknologi Informasi Dan Ilmu Komputer, 3(3), 156-162. https://doi.org/10.25126/jtiik.201633165