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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Informatika Jurnal Pendidikan dan Pemberdayaan Masyarakat JUITA : Jurnal Informatika International Journal of Advances in Intelligent Informatics Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer JURNAL REKAYASA TEKNOLOGI INFORMASI SINTECH (Science and Information Technology) Journal METIK JURNAL JISKa (Jurnal Informatika Sunan Kalijaga) Journal of Applied Engineering and Technological Science (JAETS) Indonesian Journal of Electrical Engineering and Computer Science PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer
Hamdani Hamdani
Universitas Mulawarman
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering

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Journal : International Journal of Advances in Intelligent Informatics

 1 
A review on fuzzy multi-criteria decision making land clearing for oil palm plantation Hamdani Hamdani; Retantyo Wardoyo
International Journal of Advances in Intelligent Informatics Vol 1, No 2 (2015): July 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v1i2.26

Abstract

Our review paper research categorize the methods in the method of Fuzzy Multi-Criteria Decision Making (FMCDM) to find the method is widely used in the case of land clearing for plantation. Model FMCDM is used to assess the parameter in multi-criteria-based decision making. The dominant percentage of the result was obtained using Fuzzy Analytic Hierarchy Process (FAHP) method. While the application of other methods for the same problem are Fuzzy Ordered Weighted Averaging (FOWA), Fuzzy Elimination Et Choix Traduisant la Realite or Elimination and Choice Translating Reality (FELECTRE), Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS), Fuzzy, Artificial Neural Networks (FANNs) has less. Some the research result also implemented hybrid in FMCDM Method to give some weight in the assessment of decision making. There was also a paper which integrates FMCDM to the GIS method on the land clearing. Therefore, it is concluded that the issue on the land clearing can be done through collaboration of several models of FMCDM, so that it can be developed by involving the decision model using multi-stakeholder model
Analysis of Color Features Performance Using Support Vector Machine with Multi Kernel for Batik Classification Edy Winarno; Wiwien Hadikurniawati; Anindita Septirini; Hamdani Hamdani
International Journal of Advances in Intelligent Informatics Vol 8, No 2 (2022): July 2022
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Batik is a sort of cultural heritage fabric that originated in many areas of Indonesia. Each area, particularly Semarang in Central Java, has its own batik design. Unfortunately, due to a lack of knowledge, not all residents are able to recognize the types of Semarang batik.  Therefore, this study proposed an automated approach for classifying Semarang batik. Semarang batik was classified into five categories according to this method:  Asem Arang, Blekok Warak, Gamblang Semarangan, Kembang Sepatu, and Semarangan. Since color was able to distinguish batik patterns, it is necessary to analyze color features based on the color space in order to generate discriminative features.  Color features were produced based on the RGB, HSV, YIQ, and YCbCr color spaces. Four different kernels were used to feed these features into the Support Vector Machine (SVM) classifier. The experiment was conducted using a local dataset of 1000 batik images classified into five classes (each class contains 200 images).  In order to evaluate the method, cross-validation was performed using a k-fold value of 10. The results showed that the proposed method could reach an accuracy of 1 in all SVM Kernels when employing the YIQ color space, which was consistent across all tests.
Co-Authors A. Ismail Lukman Agus Qomaruddin Munir Albert Richart Singal Amin Padmo Azam Masa Anam, M Khairul Andri Syafrianto Andrianus Layuk Anindita Septiariani Anindita Septiarini, Anindita Anindita Septirini Awang Harsa Kridalaksana Budi Rahmani Budi Rahmani Citra Tri Angga Dana Pranata Decky Aspandi Latif Didit Suprihanto, Didit Dyna Marisa Khairina Edy Winarno Faza Alameka Hatta, Heliza Rahmania Haviluddin Haviluddin Heliza Hatta Henderi . Hepy Tri Winarti Heru Ismanto Hugo Aprilianto Irwanda Syahputra Junadhi Junadhi Khabib Mustofa Lucky Lhaura Van FC, Lucky Lhaura Muhammad Alisalman Muhammad Bambang Firdaus Muhammad Olly Muhammad Sofian Sauri Muhammad Syarif Abdillah Muhammad Zaini Mustangin Mustangin Ngurah Satria Darmawangsa Nur Madia Puspitasari, Novianti Rahmaddeni Rahmaddeni Retantyo Wardoyo Roni Stepanus Ginting Sayekti Harits Suryawan Sumaini Sumaini Syaffira Rizky Amalia Wati, Masna Widians, Joan Angelina Wiwien Hadikurniawati Yuda Irawan Yulianto Yulianto Zainal Arifin