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All Journal IPTEK Journal of Proceedings Series Gaung Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Pseudocode CESS (Journal of Computer Engineering, System and Science) Tekinfo | Scientific Journal of Industrial and Information Engineering PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Informatika Kaputama (JIK) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JURNAL PENELITIAN EKONOMI DAN AKUNTANSI (JPENSI) Go Infotech: Jurnal Ilmiah STMIK AUB Risenologi Jurnal Pengabdian Masyarakat Multidisiplin jurnal syntax admiration JoMMiT : Jurnal Multi Media dan IT Jurnal Pengabdian Masyarakat Sains dan Teknologi Engineering and Technology International Journal (EATIJ) Jurnal Ilmiah Teknik Informatika dan Komunikasi At-Tadzkir: Islamic Education Journal Abdimas Mandalika SmartComp Jurnal Asosiatif Router : Jurnal Teknik Informatika dan Terapan LANCAH Jurnal Inovasi dan Tren Go Infotech: Jurnal Ilmiah STMIK AUB Router : Jurnal Teknik Informatika dan Terapan Jimstek
Khusnuliawati, Hardika
Universitas Sahid Surakarta
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Journal : telkomnika telecommunication computing electronics and control

 1 
Multi-feature Fusion Using SIFT and LEBP for Finger Vein Recognition Hardika Khusnuliawati; Chastine Fatichah; Rully Soelaiman
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 1: March 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i1.4443

Abstract

In this paper, multi-feature fusion using Scale Invariant Feature Transform (SIFT) and Local Extensive Binary Pattern (LEBP) was proposed to obtain a feature that could resist degradation problems such as scaling, rotation, translation and varying illumination conditions. SIFT feature had a capability to withstand degradation due to changes in the condition of the image scale, rotation and translation. Meanwhile, LEBP feature had resistance to gray level variations with richer and discriminatory local characteristics information. Therefore the fusion technique is used to collect important information from SIFT and LEBP feature.The resulting feature of multi-feature fusion using SIFT and LEBP feature would be processed by Learning Vector Quantization (LVQ) method to determine whether the testing image could be recognized or not. The accuracy value could achieve 97.50%, TPR at 0.9400 and FPR at 0.0128 in optimum condition.  That was a better result than only use SIFT or LEBP feature.
Hybrid clustering based on multi-criteria segmentation for higher education marketing Hardika Khusnuliawati; Dhian Riskiana Putri
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 5: October 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i5.18965

Abstract

Market segmentation in higher education institutions is still rarely applied although it can assist in defining the right strategies and actions for the targeted market. The problem that often arises in market segmentation is how to exploit the preferences of students as customers. To overcome this, the combination of hybrid clustering method with multiple criteria will be applied to the case of the market segmentation for students in higher education institutions. The integration of geographic, demographic, psychographic, and behavioral criteria from students is used to get more insightful information about student preference. Data result of the integration will be processed using hybrid clustering using K-means and self organizing map (SOM) algorithm. The hybrid clustering conducted to get promising clustering result along with the visualization of segmentation. This study successfully produces five student segments. It received 1,386 as the Davies-Bouldin index (DBI) value and 2,752 as the quantization error (QE) value which indicates a good clustering result for market segmentation. In addition, the visualization of the clustering result can be seen in a hexagonal map.
Co-Authors Agung Yusup Nugroho Alfiyanus Shaf’at Anjarwani, Siti Muslikhah Anniez Rachmawati Musslifah Arif Nugraha Hernanjaya Arsaela Astikasari Astri Charolina Bayu Ismunandar Chastine Fatichah Christian Roy Purnama Dahlan Susilo Devi, Anita Oktaviana Trisna Dhian Riskiana Putri Dhian Riskiana Putri Dippo Ardy Wibowo Diyah Ruswanti Dwi Retnoningsih Fauzan Imam Ferry Tabah Saputra Firdhaus Hari Saputro Al Haris Fitriyadi, Farid Fitriyadi, Farid Hellen Marlina Iqbal Aditya Ferryanto Lathif Huda Marlina, Hellen Muhamad Ahyar Yogi Wibisono Muhammad Azhari Muhammad Syahrul Haniawan Mursyid, Chasmim Rohmadhan Nur’Afnida, Widya Prihatini, Prima PUSPITA, DEVIANA Putra, Taufiq Dio Eka ricky dwi saputro Saputro riskiana, dhian Rully Soelaiman Rusnandari Retno Cahyani Ruswanti, Diyah Setiawan, Gigih Siti Muslikhah Anjarwani Sri Huning Anwariningsih Sukmanaji Sukmanaji Taufiq Dio Eka Putra Wahyu Nugroho Yoga Gemilang Kurniawan Yudi Setiawan