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All Journal Jurnal Masyarakat Informatika Techno.Com: Jurnal Teknologi Informasi JAIS (Journal of Applied Intelligent System) Teknosains : Jurnal Sains,Teknologi dan Informatika Jurnal Ekonomi dan Manajemen (JEKMA) Sejahtera: Jurnal Inspirasi Mengabdi Untuk Negeri Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Jurnal Informatika Polinema (JIP) Science Technology and Management Journal (STMJ) Bumi: Jurnal Hasil Kegiatan Sosialisasi Pengabdian Kepada Masyarakat Jurnal Maisyatuna Synergy In Economic & Business Management (SEBM) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Wildan Mahmud
Universitas Dian Nuswantoro, Kampus Kota Kediri
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Transportation

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Journal : JAIS (Journal of Applied Intelligent System)

 1 
Rabbit Type Classification Using Multi-SVM Based on Feature Extraction Ery Mintorini; Wildan Mahmud
Journal of Applied Intelligent System Vol 4, No 2 (2019): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v4i2.3381

Abstract

Rabbits reputation of being cute, fluffy, cuddly critters lend then to being a popular choice for children pets. But in raising a rabbit is not easy, this depends on the type of rabbit. Rabbits that commonly pet are Rex Rabbits, American Rabbits, and Giant Rabbits. Rex Rabbits itself has some species including Rex Amber and Rex Lilac species, Giant Rabbits rabbits includes Giant Chekered rabbit, Harleyquin, dan American White Rabbit. Classification technology can be used to help the classification process of rabbits are Multi-SVM method and image feature extraction to classify rabbit species. Feature extraction used in this study is mean, variance, skewness, kurtosis, entropy. The five features are classified with Multi-SVM. The data used in this study are 125 images, consisting of 100 training images and 25 test images. The accuracy of this method reached 92%. Keywords – Classification, Multi-SVM, Rabbit, Feature Extraction
Mobile-Based Interactive Learning Media Design Using Augmented Reality Concepts Pamungkas, Natalinda; Indriyono, Bonifacius Vicky; Mahmud, Wildan; Zahari, Iqlima
(JAIS) Journal of Applied Intelligent System Vol. 9 No. 1 (2024): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jais.v9i1.10225

Abstract

One of the natural disasters that currently occurs frequently in Indonesia is earthquakes. An earthquake is a situation where the earth shakes due to volcanic activity, or collisions due to the movement of the earth's plates. Earthquake activity causes many problems. One of them is liquefaction. Liquefaction is an event that shows a loss of soil shear strength caused by an increase in pore water pressure. This occurs because the earthquake load occurred so quickly and briefly. Liquefaction is a description of the effects of an earthquake so that the soil layer loses its strength. Not many people know the process of earth movement which is the precursor to earthquakes. Especially people who have hearing limitations. For this reason, education is needed to be conveyed to the public. Educational techniques in virtual form will be a special attraction for people, especially deaf people. Augmented Reality (AR) technology is a technology where virtual objects and real objects are combined. In this research, an application was produced in the form of learning media that utilizes Augmented Reality (AR) technology with the Marker Based Tracking method. To make learning media more interactive, the technology was developed using the MDLC (Multimedia Development Life Cycle) method. The results of the tests carried out concluded that the application could be used as an interactive learning medium to increase knowledge about the occurrence of earthquakes and the effects of liquefaction for the community
Co-Authors Aissiyah, Nasyatul Alvina Dwi Andriani Arika Norma Wahyu Dorroty Bonifacius Vicky Bonifacius Vicky Indriyono Bonifacius Vicky Indriyono, Bonifacius Vicky Choerul Umam Chornelius Aneba Moza Ikratama Christiawan Yosua Hertinando Dian Restu Adji Dibyo Adi Wibowo Dimentieva, Imelda Erba Lutfina Erika Devi Udayanti Ery Mintorini Ery Mintorini Febrianti, Ervina Febrianto, Kevin Ferdianto , Bhekti Eka Gery Gadman Rachmad Ichwan Setiarso Iqlima Zahari Ivan Putra Gemilang Karmila Karmila Kenza Amelia Putri Anwarri Lutfina, Erba Lutfina, Erba Lutfina Mellati, Pita Moch. Sjamsul Moch. Sjamsul Hidajat Natalinda Pamungkas Natalinda Pamungkas Pamungkas, Natalinda Pratama, Zudha Putri Hartarani, Wiedya Sanina Quamila Putri Saraswati, Galuh Wilujeng Sayyidah Farhani Syafira Putri Yuanita Tri Esti Rahayuningtyas Wahyu Putri, Stevani Tri Wibowo, Toni Widyatmoko Widyatmoko Wiedya Putri Hartarani Yustiqomah, Evita Citra Zahari, Iqlima  Ignasius Yoga Puji Hascaryo