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All Journal Ilmu dan Budaya Jurnal Teknologi dan Manajemen Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) SISFOTENIKA Journal of Information Technology and Computer Science (JOINTECS) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI INTECOMS: Journal of Information Technology and Computer Science JurTI (JURNAL TEKNOLOGI INFORMASI) Jurnal Riset Informatika Jurnal Teknologi Dirgantara JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Mantik JTIM : Jurnal Teknologi Informasi dan Multimedia Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JISA (Jurnal Informatika dan Sains) Jurnal Teknik Informatika C.I.T. Medicom Jurnal Ipteks Terapan : research of applied science and education
Iskandar Fitri
Universitas Nasional
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Veterinary Other

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IMPLEMENTATION OF DEMPSTER SHAFER IN EXPERT SYSTEM IN EARLY DIAGNOSIS OF DENTAL AND MOUTH DISEASES IN CHILDREN Atalya Kurnia Sari; Iskandar Fitri; Denny Hidayatullah
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 15 No. 1 (2021): Jurnal Ipteks Terapan ( Research of Applied Science and Education )
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (468.908 KB) | DOI: 10.22216/jit.v15i1.6

Abstract

Diseases of the teeth and oral cavity are one of the health problems that many people experience. This is very inversely proportional to the needs of everyone who wants to have a healthy mouth and teeth. Lack of awareness to maintain oral and dental health is still low. Many people think that brushing your teeth is enough, even though this activity is not enough to maintain healthy teeth and oral cavity. When diagnosing doctors often do X-rays. Therefore, doctors need a system to diagnose diseases of the teeth and oral cavity, where the system used uses a Dempster Shafer method where the accuracy of this method has been proven to be 93%.
IMPLEMENTATION ANALYTICAL HIERARCHY PROCESS AND WEIGHTED PRODUCT METHOD FOR LOVEBIRD SELECTION IDENTIFICATION APPLICATIONS Yolanda Nur Oktavia; Nurhayati Nurhayati; Iskandar Fitri
Jurnal Riset Informatika Vol. 4 No. 1 (2021): December 2021
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (866.916 KB) | DOI: 10.34288/jri.v4i1.143

Abstract

Among the many types of birds in Indonesia, lovebirds are pets that attract the most attention and become a favorite among the public. This is evidenced by the many communities of lovebird lovers throughout Indonesia. The problem that exists for ordinary people who do not understand the animal world and have little knowledge about the quality of the lovebirds, it is not uncommon for the problem to be in doing business for sellers it is difficult to make decisions in overcoming the problem of selecting the best birds. Based on this problem, the author compares the combination of the analytical hierarchy process and weighted product methods with the analytical hierarchy process and TOPSIS from this comparison, the highest score is 392.63 on the analytical hierarchy process and weighted product for the best quality web-based lovebird selection recommendation application design application. From the results of application testing and manual calculations with 64 sample data, it was concluded that 4 users or about 6% were included in the low accuracy category in the best lovebird recommendation results, 12 users or 19% of the total tests were stated at a moderate level of accuracy in the lovebird recommendation results. The best and 48 users or 75% of the total tests were stated at the high accuracy category level in the best lovebird recommendation results with the highest accuracy value of 80.2% on the Albino lovebird type.
Co-Authors Aditya Nuryudha Iriandi Agung Triayudi Agus Gunaryati Agus Iskandar Ahmad Khuzaifi Ahmad Muslih Mardia Albaar Rubhasy Alhadi Alhadi Andri Aningsih Andrianingsih Anggun Wibowo Ani Rahmawati Aris Gunaryarti Aris Gunaryati Ariwirawan Djali Atalya Kurnia Sari Bagas Apriandadwi Putra Bayu Setyo Prayogi Ben Rahman Budi Tri Utomo Budianto Budianto Chairil Rohadi Danang Aji Pangestu Denis Taslim Denny Hidayatullah Deny Hidayatullah Deny Hidayatullah Dicky Prasetyo Eky Pambudi Syiamtoni Endah Tri Esti Handayani Eri Mardiani Fahmi Apriliansyah Fauzan Muhammad Fauziah Fauziah Fhizyel Nazareta Gabbi Rinzani Gio Fandy H Nainggolan Hasbulloh Hasbulloh Hendy Dwi Haryoyudhanto Henry Prasetyo Utomo Ilham Wahyudi Siadi Iman Cahyadi Ira Diana Sholihati Kresno Wibowo Kurniadin Nehe Leony Mayank Andiny Mikhael Kristian Mikhael Kristian Mike Mochammad Arya Darmawan Muhamad Alfaiz Muhamad Sopiyan Muhammad Faiz Syafii Muhammad Rafiq Zayana Muhammad Raihan Azis Muhammad Zulfi Rahmanzi Muklis Haryono Novi Dian Nathasia Nur Hayati Nurhayati Nurhayati Nurhazmi Hawari Oka Saputra Rafif Ramadhan Al Yarda Richard Ronaldo Marbun Rima Tamara Aldisa Rini Nuraini Sari Ningsih Sumarhadi Sumarhadi Supriyanto Supriyanto Suryadi Suryadi Syamsun Nahar Abdullah Teuku Feraldy Ramadhani Tri Oktafi Sidqi Ucuk Darusalam Willi Akbar Satria Winarsih Winarsih Wisnu Andika Putra Yoga Furqaansyah Yolanda Nur Oktavia Yudhi Setiawan