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Journal : Infotech: Journal of Technology Information

KOMPARASI METODE INTERPOLASI UNTUK SISTEM PENGENALAN SEL DARAH PUTIH Lina, Lina; Anthony, Kelly
Infotech: Journal of Technology Information Vol 5, No 1 (2019): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v5i1.56

Abstract

The over time role of technology becomes very important. That is because the function of technology is to facilitate human work. Because human needs are increasingly complex, technological developments are created in such a way as to meet human needs. The experts in the medical field are currently very dependent on technology to do their jobs, in order to obtain effective and efficient results. Application system designed aims to help experts in the medical field to diagnose diseases through introduction to white blood cell types. The recognition system was developed using the Nearest Feature Line (NFL) method. In this NFL method, characteristic lines are formed using the method of linear interpolation, linear spline, quadratic spline, and cubic spline. Aside from introducing an introduction system, this paper also discusses comparisons between interpolation methods to form characteristic lines. The test was carried out using FTI Untar Pattern Recognition laboratory blood cell data. The test results show that the formation of characteristic lines using the linear interpolation method provides better recognition results compared to the spline interpolation method.
Co-Authors Abadi, Reagent Adelia, Firdha Afrinovera Afrita, Indra Agus Budi Dharmawan Agus Hendra Al Rahmad Ahmad Fajar Ahmad Shofiyuddin Ichsan Ajienegoro, Daniel Alfian Helmi Alvin Christo Tjiptiadi Andreas Sarjono Anthony Domenico Antonius Singgih Setiawan Ardhytia Nugraha, Ardhytia Arlends Chris Aurelia, Agnes Azwarni, Azwarni Bagus Mulyawan Bahtiyar, Yusuf Benyamin Kusumoputro Bryce Clement Sutedja Christina Christina Daniel Antineus, Daniel Delfia, Eva Dewi, Anggi Pascalia Dini Anggorowati Effendy, Nurul Hajmi Engla Sari, Novi Eni Rosnija Ery Dewayani Fahmi Fahmi Farida Mayar Farrell Ionwyn Eduardo Ferrary, Delvin Fitria, Sherley Gamar Binti Non Shamdas Hardini Yanis, Natasya Putri Hardiyana, Minati Rina Harprori Patti Haryanto, Matthew Hasanah, Latifa Nur Hayani, Nora Hayyatun Mawaddah Hery Haryanto Hesniati, Hesniati Ilcham, Alda Indiarti, Indiarti Isnaini, Dewi Lailatul Isneini Isneini, Isneini Isyanti, Amalia Putri Jacelyin, Jacelyin Jeanny Pragantha Joey, Joey Jonathan Kenny Juen Jovianto, Jovianto Kelly Anthony Kelvin Kelvin Khairunnas, Muhammad Lely Hiryanto Leovani, Ega Lia Lajuna Lilies Lilies Lindawati Lindawati liong, Saw Luthfi, Taufik Mahdi, Annisa Luthfiah Maria Josephine Tyra, Maria Josephine Tyra, Marsella, Marsella Mike Tyson, Mike Monica Monica, Monica Muhammad Arif Kurniawan Muhammad Ikhsanudin, Muhammad Nelly Nelly Nora Veri Ony, Johan Gunady Panggabean, Maya Sabirina Putra, Vincentius Randy Raihan, Ulfah Ranny, Ranny Ratnawati Ratnawati Rudiyanto Rudiyanto, Rudiyanto Sabarudin Sabarudin Samsudin Samsudin Saputera, Monica Djaja Sari, Novi Engla Satria Ramadhan, Satria Siska Wulandari, Siska SITI MARYAM Sofian, Sofian Su, Jason Syafei, Zakirullah Tantri Palupi Tony Tony Ulhaq, Dhiya Vinatan, Tristama Viviani, Viviani Wahyuni, Lora Wasino Wasino Wijaya, Calvin Yori Yori, Yori Zulherma, Zulherma