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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA JURIKOM (Jurnal Riset Komputer) JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Teknik Informatika (JUTIF) Journal of Social Responsibility Projects by Higher Education Forum Jurnal Teknisi J-Com (Journal of Computer) Jurnal IPTEK Bagi Masyarakat Jurnal Ipteks Terapan : research of applied science and education Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Zadama: Jurnal Pengabdian Masyarakat Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Arridha Zikra Syah
Sekolah Tinggi Manajemen Informatika Dan Komputer Royal
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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
DEPTH-FIRST SEARCH (DFS) METHOD FOR WEB-BASED DIAGNOSTIC DAMAGE TO RICE RICE PLANT Khairani Putri Mirda; Arridha Zikra Syah; Sahren
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 1 (2022): JUTIF Volume 3, Number 1, February 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.1.154

Abstract

Plants affected by pests will be more damaged if not treated early. Therefore, the farmer's diagnostic ability is needed for treatment as early as possible. For the needs of serious cases, the ability of experts is still expected. However, experts from the local Agriculture Service are not always available to assist in the diagnosis. So that the diagnosis can not be done as early as possible. One solution is to design an expert system for the early diagnosis of damage to lowland rice plants. The method used to solve is Depth First Search (DFS). The diagnosis process is done by answering questions about symptoms. Every question given by the system is the result of in-depth inference using the Depth First Search (DFS) method. The system can provide preventive or handling actions according to the results of the discovery of disturbing pests by the system. This expert system can diagnose symptoms of damage quickly, update knowledge according to the needs of experts.
DESIGN OF A GEOGRAPHIC INFORMATION SYSTEM (GIS) TO DETERMINE HOUSING LOCATIONS IN ASAHAN Dwiki Ramadhan; Arridha Zikra Syah; Akmal
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 3 (2022): JUTIF Volume 3, Number 3, June 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.3.195

Abstract

The Housing and Settlement Office of Asahan Regency haven’t a system that can map the location of housing in the East Kisaran District, Asahan yet. The purpose of this study was to help the performance of the Asahan District Housing and Settlement Service and the community in obtaining information on the location of housing in East Kisaran District, Asahan. become faster, more efficient, and more complete in managing data in housing mapping digitally and online. This research method was carried out using qualitative research methods with stages consisting of observation, interviews, documentation, and literature study. This system was designed with the PHP programming language based on Codeigneter, the database system uses MySQL, and Google Maps API which can mapping the location of housing in Kisaran Timur District, Asahan. The result of this study was a website-based geographic information system that allows the public to obtain the information they need about housing in the East Kisaran District, Asahan.
Co-Authors Abdi Nurwanda afrisawati, Afrisawati Akmal Akmal Akmal Akmal Andhini Asri Awaliyah Arifin Desi Wulandari Dewi Anggraeni Dwiki Ramadhan Fahmi Amri Finkan Lady Anwar Guntur Maha Putra Harahap, Indra Ramadona Helmiah, Fauriatun Hommy Dorthy Ellyany Sinaga Jeperson Hutahaean Khairani Putri Mirda Lisa Wulan Dari Muhammad Amin Muhammad Ardiansyah Sembiring Muhazir, Ahmad Norenta sitohang Novica Irawati Rizaldi Rizaldi Rizaldi, Rizaldi Rolly Yesputra safrian aswati Sahren Siregar, Wahyuni Sudarmin Sudarmin USWATUN HASANAH Wan Mariatul Kifti William Ramdhan Yessica Siagian Yori Apridonal M