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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Journal Of Agriculture Sciences (Agrosci)
Saputra, Dwiki
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Agriculture, Biological Sciences & Forestry Computer Science & IT

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Expert System Identification Of Learning Patterns The VARK Method Marlinda, Linda; Saputra, Dwiki; Indrarti, Wahyu
Sinkron : jurnal dan penelitian teknik informatika Vol. 3 No. 2 (2019): SinkrOn Volume 3 Number 2, April 2019
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (335.626 KB) | DOI: 10.33395/sinkron.v3i2.10091

Abstract

Nowadays computers have been widely used by many people, both parents, children, and adolescents. Basically, they only follow technological progress. And it eventually led to progress in the field of science. On the other hand, the background of the need for the seriousness of parents in knowing the pattern of their children's learning style is the amount of potential free time that is not well utilized by children in the learning process. Plus the number of parents who do not support children in developing their own mindset. Or the learning atmosphere that is still not conducive. In line with the advancement of technology and science, parents should be able to easily find out the right pattern of children's learning styles, to make it easier for their children to develop their mindset and imagination in the world of learning. And one of them can be by using an expert system. The expert system for identifying patterns of children's learning styles is an expert system designed as a tool for parents to identify patterns of children's learning styles with a dynamic knowledge base. This knowledge is obtained from various sources, including research carried out by experts in their fields and books related to learning styles. The knowledge base is arranged in such a way into logic with several provisions including the vark method (visual, auditory, read, kinesthetic), in order to facilitate system performance in making conclusions. Drawing conclusions in this expert system use the certainty factor method. This expert system will display several questions as indicators of the characteristics of the child's learning style that are felt, then later arrive at the final question. In the final result, the expert system will display the types of characteristics of the child's learning style.
The Effect of Rhizobium sp Inoculation and Nitrogen Fertilizer Application on the Growth, Yield, and Protein Content of Jack Bean (Canavalia Ensiformis L) Seeds Saputra, Dwiki; Sutisno, Budiman; Saleh, Ismail
Jurnal Agrosci Vol 3 No 3 (2026): Vol 3 No 3 January 2026
Publisher : Ann Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62885/agrosci.v3i3.1021

Abstract

Indonesia has a wealth of leguminous plants, one of which is jack bean (Canavalia ensiformis L). Jack bean has great potential as an alternative food source to replace soybeans and as an easily accessible source of protein at an affordable price. The objective of this study was to determine the effect of rhizobium inoculation and nitrogen fertilizer application on the growth, yield, and protein content of jack bean seeds. This study was conducted from June to November 2025 in Kaliaren Village, Kuningan, West Java, Indonesia. The study employed a Randomized Block Design (RBD) experimental method, consisting of 6 treatment combinations of nitrogen fertilizer dosage and rhizobium inoculation, repeated 4 times. Observation parameters included plant height, stem diameter, number of branches, RGR, NAR, weight of root nodules and weight of active root nodules (growth), number of pods, pod weight, dry seed weight (yield), and seed protein content. The results showed that there was no significant difference between treatments in terms of the protein content of jack beans, but the treatment of 200 kg N/ha and 0 g Rhizobium sp/kg seeds. had a significant effect on the growth and yield of jack beans.
Co-Authors ISMAIL SALEH Linda Marlinda Sutisno, Budiman Wahyu Indrarti