eprintid: 7916 rev_number: 6 eprint_status: archive userid: 8 dir: disk0/00/00/79/16 datestamp: 2013-05-29 10:38:58 lastmod: 2013-05-29 10:38:58 status_changed: 2013-05-29 10:38:58 type: article metadata_visibility: show creators_name: TAUFIQ, AJI title: GAGASAN PARTICLE SWARM OPTIMIZATION DALAM AL-QUR'AN ispublished: pub subjects: jur_kaunia divisions: ejour full_text_status: public keywords: wahyu ketuhanan, algoritma berbasis-alamiah, optimisasi, Particle Swarm Optimisation. abstract: Qoran as a source of knowledge has been inspiring many things in human life. Its divine revelation has strong endurance to face the condition of scientific development. This paper try to elaborate the divine message on a bird, based on Qoranic statement, that is applied in constructing a nature-based algorithm called Particle Swarm Optimisation (PSO). The explanation extend from introducing the history of PSO, Qoran inspiration in PSO, basic optimisation concept in Qoran, PSO in detail, and the simulation of the technique. From the explanation ute may proof that Qoran as a divine revelation can align with scientific issue such as the technique. date: 2008-04-01 publication: Kaunia Jurnal Sains dan Teknologi Vol.IV, No.1, April 2008 refereed: TRUE citation: TAUFIQ, AJI (2008) GAGASAN PARTICLE SWARM OPTIMIZATION DALAM AL-QUR'AN. Kaunia Jurnal Sains dan Teknologi Vol.IV, No.1, April 2008. document_url: https://digilib.uin-suka.ac.id/id/eprint/7916/1/TAUFIQ%20AJI%20GAGASAN%20PARTICLE%20SWARM%20OPTIMIZATION%20DALAM%20AL-QUR%27AN.pdf document_url: https://digilib.uin-suka.ac.id/id/eprint/7916/2/lightbox.jpg document_url: https://digilib.uin-suka.ac.id/id/eprint/7916/3/preview.jpg document_url: https://digilib.uin-suka.ac.id/id/eprint/7916/4/medium.jpg document_url: https://digilib.uin-suka.ac.id/id/eprint/7916/5/small.jpg document_url: https://digilib.uin-suka.ac.id/id/eprint/7916/8/lightbox.jpg document_url: https://digilib.uin-suka.ac.id/id/eprint/7916/9/preview.jpg document_url: https://digilib.uin-suka.ac.id/id/eprint/7916/10/medium.jpg document_url: https://digilib.uin-suka.ac.id/id/eprint/7916/11/small.jpg