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Akademika
Published by Universitas Nurdin Hamzah
ISSN : 19073984     EISSN : 25411760     DOI : https://doi.org/10.53564
Core Subject : Science,
Computer Science & IT
Jurnal Akademika merupakan media publikasi hasil penelitian dari para akademisi serta praktisi yang berkenaan dengan teknologi informasi dengan beberapa topik bahasan meliputi sistem informasi, jaringan komputer, keamanan sistem, multimedia, kecerdasan buatan, dan sistem pakar. Jurnal Akademika dikelola dibawah Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Nurdin Hamzah yang rutin terbit 2 kali setahun pada bulan april dan november.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 3 Documents
 1 
Search results for , issue "15-21" : 3 Documents clear
IMPLEMENTASI BACKWARD CHAINNING PADA SISTEM PAKAR UNTUK DETEKSI KERUSAKAN PADA LAPTOP BERBASIS WEB Reny Wahyuning Astuti; Novhirtamely Kahar; Supriyanto
JURNAL AKADEMIKA 15-21
Publisher : LP2M Universitas Nurdin Hamzah Jambi

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Abstract

All this time occor the increasing of interest in using computer for artificial intelligence. Artificial intelligence is activity that provides the machines such as computer with ability to show behavior is considered intelligent if it observed by human. One of Artificial intelligence is the expert system to detect the damage of laptop. The expert system is built by PHP programming lenguage, and using my SQL as database. Input data in this expert system are data of damage indication, kinds of damage data and the ways to repair, solution data, and user data. Input data will be processed to detect damage in laptop by using backward chaining and this system will provide output such as data of damage indication, kinds of damage, the ways to repair the damage and this data will be provide for user with the function the user can know damage in their laptop and also in order the user can repair the damage of laptop by theselves.
SISTEM INFORMASI PENGELOLAAN DATA PADA KUD BINA USAHA DESA CINTA DAMAI Yeniwati, Desi; Nilawati; Riswan
JURNAL AKADEMIKA 15-21
Publisher : LP2M Universitas Nurdin Hamzah

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Abstract

KUD is a forum for economic organizations with social characteristics and disease is a forum for the development of various economic activities of rural communities organized by the community and for the community itself. In this research, a Data Management Information System at KUD Bina Usaha Desa Cinta Damai has been produced that can facilitate data management by using fast and accurate which includes data input, data retrieval, data editing, and printing of monthly reports. This application was built using Visual Basic Net and DatabaseMySQL. The research method used in this thesis is the waterfall method, and the system modeling uses Data Flow Diagram (DFD) modeling.
SISTEM INFORMASI MENDETEKSI HAMA DAN PENYAKIT TANAMAN KOL MELALUI SISTEM PAKAR DENGAN METODE FORWARD CHAINING STUDI KASUS : BALAI PENYULUHAN PERTANIAN KECAMATAN JANGKAT Rusli, Mulyadi; Sulanti, Noni
JURNAL AKADEMIKA 15-21
Publisher : LP2M Universitas Nurdin Hamzah

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Abstract

In the world of agriculture, there are many problems that prevent farmers from cultivating this group of crops, causing crop failure. The problem that is often faced is that pests and diseases become serious problems that cannot be handled properly so that plants die or do not grow properly, and result in crop failure and big losses. The purpose of the study was to build an Expert System to Detect Pests and Diseases of Cabbage Using Forward Chaining Methods at the Agricultural Extension Center, Jangkat District, a system that can replace the temporary role of experts in identifying pests and diseases of cabbage or cabbage plants accurately and quickly. An expert system for diagnosing pests and plant diseases are urgently needed to serve as a means for consultation and learning facilities for farmers, especially from Extension Centers. For this reason, the complexity and difficulties experienced by farmers or can be overcome by providing a software (expert system) in the form of an application program to determine pests and diseases that attack cabbage or cabbage plants and how to handle and prevent them appropriately. The advantage of using an expert system application using web programming is that it makes it easier for farmers to determine pests and diseases and so that there are no errors in giving conclusions about pests and diseases, which is expected to help and facilitate farmers in determining pests and diseases that attack plants.

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