Articles

Found 2 Documents
Search
Journal : Jurnal Teknik Industri

Aplikasi Metode Cross Entropy untuk Support Vector Machines

Jurnal Teknik Industri Vol 10, No 2 (2009): Agustus
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Original Source | Check in Google Scholar | Full PDF (421.883 KB)

Abstract

Support vector machines (SVM) is a robust method for  classification problem. In the original formulation, the dual form of SVM must be solved by a quadratic programming in order to get the optimal solution. The shortcoming of the standard version is as the classification problem is getting larger, the high computing time is needed. Cross entropy (CE) is a newly discovered optimization method with two main procedures: generating data samples by a chosen distribution, and updating the distribution parameters due to elite samples to generate a better sample in the next iteration. The CE method has been applied in many optimization problems with satisfying result. In this research, CE is applied to solve the optimization problem of Lagrangian SVM for faster  computational time. This method is tested in some real world datasets for classification problem. The results show that the application of CE in SVM is comparable to standard SVM in classifying two class data in terms of accuracy. In addition, this method can solve large datasets classification problem faster than standard SVM.

Algoritma Differential Evolution Untuk Penjadwalan Flow Shop Banyak Mesin Dengan Multi Obyektif

Jurnal Teknik Industri Vol 13, No 1 (2012): Februari
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Original Source | Check in Google Scholar | Full PDF (328.885 KB)

Abstract

This research focuses on the development of Differential Evolution(DE) algorithmto solve m-machine flow shopscheduling problems with respect to both makespan and total flow time. Development of DE algorithm is done by modifyingthe adaptive parameter determination procedure in order to change the value of adaptive parameters in each generation,adding local search strategy to the algorithm in order to improve the quality of the resulting solutions, as ewell as modifyingthe crossover in order to reduce computation time. The result indicates that the proposed DE algorithm has proven to bebetter than the original DE algorithm, Genetic Algorithm (GA), and for certain cases it also out performs Multi-ObjectiveAnt Colony System Algorithm (MOCSA).

Co-Authors Abdurrahman, Ahmad Fauzan Abiyoga, Gerald Arsa Adhiyaksa Ade Lia D. Safitri Adrianus Yosep Ago, Adrianus Yosep Agus Sasmito Aribowo Ahmad Warsun Ali Ridho Barakbah Andri S, Andri Andri Sukeksi Anin, Vitry Agrida Anissa Wulandari, Anissa Antariksa Antariksa Ari Yanuar Ridwan, Ari Yanuar Ari Yanuar, Ari Bambang Utoyo Boyke Frahmana, Boyke Budi Sulistyo Budianto, Anwar Budiyono Budiyono Buru, Romika Jibrael Dani Satyawan Deniswara, Cindy Dessyanto Boedi P Destaria Madya Verawaty, Destaria Madya Dida Diah Damayanti Didi Setya, Didi Didik Sumanto Dinda Sekar Putri, Dinda Sekar Djoko Legono Dwi Sulistyoningsih Dwiska Aini Nurrahma, Dwiska Aini Eka Fitasari Eka Puji Hastuti, Eka Puji Ekawati, Fitri Eko Prasetyo Nugroho Endang Purwaningsih Erik Kurniawan, Erik Ethica, Stalls Norma Fajar Kurnia Fani Yayuk Supomo Fauzia Hulopi Gita Purnama Sari, Gita Purnama Hairurraziqin Hairurraziqin, Hairurraziqin Hananta, Yan’s Dianaga Hani Purnamasari, Hani Hariyadi Hariyadi Hariyana, Bambang Helmi Helmi Henna Ria Sunoko, Henna Ria Henna Rya Sunoko Henna Rya Sunoko Herry Sofyan Hertanto Wahyu Subagio Hertanto Wahyu Subagyo Heru Cahya Rustamaji I Ketut Eddy P, I Ketut I Ketut Eddy P. I Made Tasma Ial Irwan Arahman, Ial Irwan Indraloka, Dwi Smaradahana Irfan Suliansyah Jerrystama Abipradja, Jerrystama Juwairiah Juwairiah Karuniawati, Fenty Kgs Ahmadi Khoiriyatuinnisa, Khoiriyatunnisa Kisdjamiatun RMD Lanang, Fransiskus Lisa Dwi Wulandari Lisyani S Lisyani Suratmo, Lisyani Maharani, Dias Mangaras Yanu Florestiyanto, Mangaras Yanu Markus Priharjanto, Markus Maya Putri Arumsari, Maya Putri Mona Nabilah, Mona Muhamad Yunus Muhammad Riski, Muhammad Nanda, Angelica Mega Ni Putu Aniek Mahayani, Ni Putu Aniek Niken Puruhita Noverita Rochsitasari, Noverita Nugroho, Febri Satrio Nurdiansyah Rudi, Nurdiansyah Oliver Samuel Simanjuntak Perwira, Rifki Pramono Sasongko Prasetyo, Muhammad Bagus Prasetyo, Nanda Isdian Putra, Ludfie Hardian Ragil Saptaningtyas, Ragil Rahmat Adeputra, Rahmat Ranny Wahyu Ningrat Ratna Wulan Sari Ratomesang, Richardo Pelipus Boru Rejeki, VG. Sri Riangsari, M.F. Devita Rifki Indra Perwira Rifky Satya Wicaksono, Rifky Satya Rini Megawati Rizalditya, Putra Bintang Rr. M.I. Retno Susilorini Rudi Theo Satrio, Rudi Theo Rusdiana, Endang Sihombing, Ezra Siti Aisah Sofi Fauziah, Sofi Sofyan Cholid, Sofyan Sri Darmawati Sri Subanti Stefanus Eko Wiratno, Stefanus Sugiyono Sugiyono Suhartono Suhartono SUHARYANTO SUHARYANTO Suliana, Gatut Sumiyarti Sumiyarti, Sumiyarti Susilorini, Rr. M. I. Retno Susilorini, Rr.M.I Rretno Susilorini, Rr.M.I. Retno Tahta Alfina Tatty Ermin Taus, Dominika Sone Tiananda Widyarini Timba, Margaretha Kahi Umar Affandi Waenah . . Wahon, David Dolu Aman Wahyu Ari Widiyastuti, Wahyu Ari Wijiati, Irma Wilis Kaswidjanti Wirawan Wirawan Yan Indra Putra, Yan Indra Yoyon K. Suprapto Yoyon K. Suprapto Yuhefizar Yuhefizar Yurinda Amalia, Yurinda