JTIM : Jurnal Teknologi Informasi dan Multimedia
Vol 3 No 2 (2021): August

Sistem Informasi Pendataan Potensi Pertanian Kabupaten Kepulauan Talaud Berbasis Web

Widia Nofhita Gumolung (STIK Rajawali Talaud)
Eliyah Acantha M Sampetoding (STIK Rajawali Talaud)
Alfret Luasunaung (Universitas Sam Ratulangi)
Yuliyanto Yuliyanto (STIK Rajawali Talaud)
Esther Sanda Manapa (Universitas Hasanuddin)



Article Info

Publish Date
12 Aug 2021

Abstract

Economic development in the agricultural sector is intended to increase farmers' income and to equalize development in rural areas. The agricultural potential data collection information system is carried out to find out the various advantages or privileges that exist in the Talaud Islands Regency. One of the government agencies that carry out this activity is the Department of Food Security and Agriculture of the Talaud Islands Regency. This is the benchmark of this discussion and research. The author's team conducted research at the Department of Food Security and Agriculture of the Talaud Islands Regency by collecting data in the field, the authors used questionnaires and interviews. Interviews were conducted with the head of the plantation sector and one staff member of the plantation sector. Based on the results of research in the field and adapted to the needs of potential data by information users, the authors designed an application of information systems for data collection of agricultural potential in Talaud Islands Regency based on a website This system is made to facilitate potential data collection, access and quick information. Stakeholders in collecting data on agricultural potential in the Talaud Islands Regency can access potential data online without having to deal directly with agricultural potential managers

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Journal Info

Abbrev

jtim

Publisher

Subject

Computer Science & IT

Description

Cakupan dan ruang lingkup JTIM terdiri dari Databases System, Data Mining/Web Mining, Datawarehouse, Artificial Integelence, Business Integelence, Cloud & Grid Computing, Decision Support System, Human Computer & Interaction, Mobile Computing & Application, E-System, Machine Learning, Deep Learning, ...