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All Journal Seminar Nasional Informatika (SEMNASIF) Jurnal Sains Dan Teknologi (SAINTEKBU) Journal of Information Technology and Computer Engineering Jurnal Tekinkom (Teknik Informasi dan Komputer) Jurnal Teknologi Informasi dan Komunikasi Jurnal Pengabdian Masyarakat Asia Jumat Ekonomi: Jurnal Pengabdian Masyarakat Jumat Informatika: Jurnal Pengabdian Masyarakat Jumat Pertanian: Jurnal Pengabdian Masyarakat Jumat Pendidikan: Jurnal Pengabdian Masyarakat Jumat Keagamaan: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat untuk Negeri (UN-PENMAS) Newton : Networking And Information Technology Joutica : Journal of Informatic Unisla Dharma Pengabdian Perguruan Tinggi (DEPATI)
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Universitas KH. A. Wahab Hasbullah
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Journal : journal of information technology and computer engineering

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Implementing Backward Chaining Method in Expert System to Detect and Treat Rice, Chilli, and Corn Plant’s Pests and Diseases Anton Muhibuddin; Primaadi Airlangga; M. Mirza Sulthoni; Aries Budi Wicaksana
JITCE (Journal of Information Technology and Computer Engineering) Vol 2 No 02 (2018): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (425.2 KB) | DOI: 10.25077/jitce.2.02.71-75.2018

Abstract

Indonesia is an agrarian country which most of it’s citizens are farmer. There are various kind of decent plants to grow in Indonesia but most of them plant rice, corn, wheat, and sago as staple food. There other plants that is consumed not as main food but as subsidiaries, one of them are chilli pepper. Abundant variety of vegetation in Indonesia means that there are also many type of pests and diseases. An agriculture expert is needed to identify plant’s diseases and pest correctly. Meanwhile, the number of agriculture experts is insufficient to help massive amount of farmer whom have trouble in agriculture. This problem can be solved by using Expert System where farmers can detect the problem on their plants and finding treatment to cure their plants correctly them self. This research is mean to develop an Expert System Application in agriculture to identify diseases and pests based on their symptoms especially rice, chilli, and corn plants. This Expert System is based on web program using Backward Chaining Inversion which is deemed necessary to solve the case study’s problem. Responsive Web Based System can be accessed by user or client from many devices especially their smart phone help diagnose disease that occurs to their plant, more over, to solve the low rate of expert on agriculture.
Co-Authors Abdul Arif Rachman Abdullah Hammami Abu Ya'la Adip Miftahul Ulum Afida Devitasari Afifatul Hasna Ahcmad Ulum Nadzir Syahril Mubarok Ahmad Chaerrurriziq Ainul Muarofati Zahro Ainul Mu’arofati Zahro Alawi Muhammad Alfi Ainun Oktafiani Amanatus Salamah Ambar Susanti Ambar Susanti Anggi Indah Yuliana Anti Qurrota A'yuni Anton Muhibuddin Aries Budi Wicaksana Arum Fitrianingsih Ayik Komsari Basalaf Ahmad Saiful Cristina Siti Rhomadhoni Dandung Arfriansyah Denisya Umam Hasbyalloh Devina Ayu Lestari Dwi Widianingsih Erna Afriliyanto Fachrul Fatah Al Rasyid Fachry Abda El Rahman Fajar Abdul Aziz Fika Ridaul Maulayya Harianto Harianto Hariono, Tholib Idris Nurdin Halidi Indrajid Permana Inna Nur Atika Julian Dwi Kurniawan Luthfi Firdaus M Dzikrul Hakim Al Ghozali M. Mirza Sulthoni Mar'atus Sholihah Mar’atus Sholihah Maulidia Rizqi Maya Wafiroh Mochamad Chumaidi Mochammad Iqbal Syauqi Moh. Anshori Aris Widya Mohammad Arif Taufiqurrohman Muhammad Abdul Chakim Muhammad Fatich Munawarah Munawarah - Munawarah Munawarah Munawarah Munawarah Mutawakkil Alallah Ninik Lailatul Husna Nisfu Laily Shofiatujidda Nur Ihsan Nudin Nur Khafidhoh Nur Khafidhoh Nur Khafidoh Purwatiningsih Purwatiningsih Rina Dewi Febrianti ROBITOTUL MU'AWANAH Robitotul Mu'awanah Roziqul Linna Virdella Shoimaturrodliyah Shoimaturrodliyah Siti Nur Farida Siti Sufaidah Sopfi Hidayatul Choir Sujono Sujono Syafi’uddin Syafi’uddin Taufik Eko Yulianto Vivi Haryani Vivi Haryani Wahyu Aji Tri Riswandhana Wawan Taguh Suprastiyo Winarti Wina Yessita Puspaningrum Zulfikar Zulfikar - Zulfikar Zulfikar