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INDONESIA
Jurnal Informasi dan Komputer
Published by Institut Teknologi Bisnis Dan Bahasa Dian Cipta Cendikia
ISSN : 23378344     EISSN : 26231247     DOI : https://doi.org/10.35959
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Mathematics Other
Jurnal Informasi dan Komputer (JIK) Adalah jurnal peer-review yang dikelola oleh Jurnal Informasi dan Komputer STMIK Dian Cipta Cendikia Kotabumi. Jurnal Informasi dan Komputer (JIK) diterbitkan secara berkala (dua kali setahun) pada bulan April dan Oktober.Jurnal Informasi dan Komputer (JIK) tersedia gratis (akses terbuka) untuk semua pembaca. Artikel di JIK termasuk perkembangan dan penelitian dalam Pendidikan Ilmu Komputer (studi teoritis, eksperimen, dan penerapannya). Lebih detail tentang Fokus dan Ruang Lingkup, silakan periksa tautan ini.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 263 Documents
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IMPLEMENTASI METODE REGRESI LINIER BERGANDA UNTUK ESTIMASI PENYAKIT GANODERMA DI PT NAKAU Kurniawati .; Sriyanto .; RZ Abdul Aziz
Jurnal informasi dan komputer Vol 11 No 02 (2023): Jurnal Informasi dan Komputer yang terbit pada tahun 2023 pada bulan 10 (Oktobe
Publisher : STMIK Dian Cipta Cendikia Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35959/jik.v11i02.538

Abstract

The agricultural sector in Indonesia is divided into three types, namely plantations, rice fields and fields. Of the three types of agricultural sector, the plantation sector is more in demand because plantation type agriculture tends to have a high selling value, large-scale cultivation, and its increasing attractiveness. The plantation sector in Indonesia is dominated by oil palm, cocoa, rubber, sugar cane and coffee, of which oil palm is the most profitable. PT. Nakau is a company belonging to the type of private large plantation (PBS). This researcher aims to find out the calculation of the estimated ganoderma disease using the multiple linear regression method with the Excel and Rapidminer applications in 2021. And to analyze the results of the multiple linear regression method calculations, so that ganoderma disease predictions can be known and early treatment can be carried out so as to optimize coconut production. palm oil at PT Nakau. The prediction results from 2016-2020 for 2021 have 1054,688 results from RapidMiner calculations and calculations on Microsoft Excel which get 767,641 results which have a difference of 28%, so it can be concluded that the estimation of ganoderma disease in 2021 is 768 to 1,055 stems affected by ganoderma disease. This prediction will be able to help PT Nakau in tackling the ganoderma disease that will attack oil palm plantations in 2021.
APLIKASI DIAGNOSIS PENYAKIT PADA TUMBUHAN TOMAT BERBASIS WEBSITE Mirna Niawati; Ferly Ardhy; Tahta Herdian Andika; Panji Bintoro
Jurnal informasi dan komputer Vol 11 No 02 (2023): Jurnal Informasi dan Komputer yang terbit pada tahun 2023 pada bulan 10 (Oktobe
Publisher : STMIK Dian Cipta Cendikia Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35959/jik.v11i02.541

Abstract

Tomato fruit as a seasonal crop that is very popular in Indonesia, often faces obstacles in its production due to disease attacks that are often not identified by farmers, which ultimately has an impact on decreasing crop yields for farmers. In this study, researchers apply the if-then function in which it determines the type of disease based on data and facts from an expert. This research resulted in an application of diagnosing tomato plant diseases using the method of developing an extreme proggraming system, with the aim that this application can help farmers to diagnose the early stages of the type of disease based on the symptoms experienced.
KLASIFIKASI JADWAL MENGAJAR DENGAN METODE ANT COLONY OPTIMIZATION Niko Surya Atmaja; Deri Lianda
Jurnal informasi dan komputer Vol 11 No 02 (2023): Jurnal Informasi dan Komputer yang terbit pada tahun 2023 pada bulan 10 (Oktobe
Publisher : STMIK Dian Cipta Cendikia Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35959/jik.v11i02.545

Abstract

Each department in the school has a subject schedule which is arranged in such a way as to ensure the teaching and learning process in that department continues. A good teaching schedule has an even distribution of subjects every day for each level without experiencing obstacles in the teaching and learning process. In preparing the teaching schedule, it is formed based on the number of teachers teaching, number of subjects, number of teaching days and number of classrooms. The problem that occurs is that the large number of classrooms and the small number of teachers makes it complicated to prepare the teaching schedule and you have to re-arrange the teaching schedule, because each time it is prepared there are often conflicts, namely one teacher teaching in a different room at the same time. Therefore, we need a way to make teaching schedules no longer complicated. This research creates an application that can arrange teaching schedules using the Ant colony optimization method so that preparing teaching schedules is no longer complicated.

Page 27 of 27 | Total Record : 263

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