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Journal : telkomnika telecommunication computing electronics and control

Geometric Feature Extraction of Batik Image Using Cardinal Spline Curve Representation Aris Fanani; Anny Yuniarti; Nanik Suciati
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 12, No 2: June 2014
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v12i2.54

Abstract

Batik is an Indonesian national heritage which has been recognized as a world cultural heritage (world heritage). Batik is widely used as clothing material. The advancement of technology allowed the material optimization in clothing design. Geometrical information of batik image is required in a modul for optimizing clothing design with batik as raw material. Geometric feature extraction of batik image is used to help computer to recognize batik's pattern or motif. This research proposes a method for geometric feature extraction of batik image by using cardinal spline curve representation. The method for geometric feature extraction is divided into 2 processes, i.e., feature extraction for Klowongan and feature extraction for Isen-Isen. Klowongan represents pattern of batik image, whereas Isen-Isen is content patterns of Klowongan. Feature extraction of Klowongan is performed by deleting collinear points from object boundaries until the dominant points are obtained. The dominant points are then used as control points. Feature extraction of Isen-Isen is performed by saving coordinate of every connected components which are also used as control points. Geometry feature of batik image is represented as a set of control points of klowongan and isen-isen. Batik image can be reconstructed by drawing cardinal spline curve using a set of control points in the geometric representation. The experiment shows that the reconstructed images is visually similar with the original batik image.
Regression model focused on query for multi documents summarization based on significance of the sentence position Aris Fanani; Yuniar Farida; Putra Prima Arhandi; M. Mahaputra Hidayat; Abdul Muhid; Billy Montolalu
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 6: December 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i6.12494

Abstract

Document summarization is needed to get the information effectively and efficiently. One method used to obtain the document summarization by applying machine learning techniques. This paper proposes the application of regression models to query-focused multi-document summarization based on the significance of the sentence position. The method used is the Support Vector Regression (SVR) which estimates the weight of the sentence on a set of documents to be made as a summary based on sentence feature which has been defined previously. A series of evaluations performed on a data set of DUC 2005. From the test results obtained summary which has an average precision and recall values of 0.0580 and 0.0590 for measurements using ROUGE-2, ROUGE 0.0997 and 0.1019 for measurements using the proposed regression-SU4. Model can perform measurements of the significance of the position of the sentence in the document well.
Co-Authors Abdul Muhid Abdulloh Hamid Abdulloh Hamid Achmad Aditya Rochim Ahmad Hanif Asyhar Ahmad Zaenal Arifin Alfirdausy, Roudlotul Jannah Aliyyah, Izzatul Anang Kunaefi Anny Yuniarti Arifin, Ahmad Zaenal Belly Ubaidila Billy Montolalu Chalawatul Ais Deasy Alfiah Adyanti Devi Saidatuz Zaenab Diah Ayu Sulistiani Dian C. Rini Novitasari Dian C. Rini Novitasari Dian Puspita Sari Dian Yuliati Dwi Agustina Dwi Mutiara Jelita Dzaky, Ahmad Naufal Eka Alifia Kusnanti Emi Fatchurin Fajar Setiawan Fajar Setiawan Fatmah Fatmah Fatmah Fatmah Fauzan Setyarizqi Muharram Ganeshar B.D. Prasanda Ghaluh Indah Permata Sari Hakim, Moch Rizki Kurniawan Hani Khaulasari Hapsari, Nabilla Windy Himami, Fatikul Ika Mustika Iksan Inayah, Jauharotul Irkhana Indaka Zulfa Karin Wahyu Cahyaningrum laili, ummiy Fauziah Laili, Ummiy Fauziyah Latifatun Nadya Desinaini Lia Puspita Sari Lubab, Ahmad LULUK WULANDARI M Mahaputra Hidayat M. Imron Maghfiroh, Wardatul Maulana, Achmad Resnu Micha Annata Shinami Mif'atul Mahmudah Moch Rizki Kurniawan Hakim Moh. Hafiyusholeh Moh. Syaeful Bahar Mohammad Nasir Mohammad Nasir Mohammad Nasir Montolalu, Billy Nabiela Naily Nanik Suciati Nur Aulia, Shofinatul Wahdah Nurissaidah Ulinnuha Prasetijo, Dono Purwanti, Ida Putra Prima Putra Prima Putra Prima Arhandi, Putra Prima Putroue Keumala Intan Sari, Dian Candra Rini Novita Sari, Yana Vita Silvia Kartika Sari Siti Nurlela Sufriyah, Lailiyatus Susilo Ari Wardani Susilo Ari Wardani Tarisa Amalia Dwi Arisanti Ummiy Fauziah Laili Ummiy Fauziyah Laili Ummiy Fauziyah Laili Wahyunanto Agung Nugroho Wanda N.P. Sunaryo Wardani, Susilo Ari Wika Dianita Utami Wika Dianita Utami Wika Dianita Utami Yana Vita Sari Yuliati, Dian Yuniar Farida Yusuf Hendrawan Zaen, Nanida Jenahara Zainullah Zuhri Zumrotul Muallifah