APLIKASI SISTEM INFORMASI DATA PETANI DENGAN OPTICAL CHARACTER RECOGNITION BERBASIS ANDROID

TLDR

Results of the development of the SiTani app, an Android-based app using Optical Character Recognition (OCR) technology show that this app simpliﬁes the process of managing farmer data at Gapoktan Amanah as much as 59.3%.

Abstract

mempercepat data secara data cukup data yang telah Solusi yang dapat dilakukan adalah dengan aplikasi SiTani, suatu aplikasi berbasis Android dengan menggunakan teknologi Optical Character Recognition (OCR) dapat mempermudah serta mempercepat proses penginputan dan pengolahan data Petani. Metode yang digunakan dalam penelitian ini adalah Waterfall yang terdiri dari Tahap Requirement Analysis (Analisis), Tahap Software System Design (Desain Sistem), Tahap Implementation (Imeplementasi), Tahap Testing (Pengujian) dan Tahap Maintenance (Pemeliharaan). Hasil dari pengembangan Aplikasi Sistem Informasi Data Petani (SITani) dengan Optical Character Recognition (OCR) menunjukan bahwa aplikasi ini mempermudah proses pengelolaan data pada Gapoktan amanah sebanyak 59,3%. Abstract The Farmer Data Information System (SiTani) is an app that is used to simplify the process of managing farmer data. Without accurate farmer data, it is difﬁcult for the government to make the right decisions, such as distributing fertilizer assistance to active farmers. The obstacle faced by the SiTani application is that farmers’ data collection is still being recorded manually by farmer groups and agricultural ofﬁcers without any tools to speed up the process of collecting farmer data, this causes the farmer data collection process to take quite a long time to be able to input all the data validly, it is difﬁcult to update the data, and quite a lot of errors in the data that has been inputted. The solution that can be done is to develop the SiTani app, which is an Android-based app using Optical Character Recognition (OCR) technology so that it can simplify and speed up the process of inputting and processing farmer data. The method used in this study is Waterfall which consists of the Requirement Analysis Phase, the Software System Design Phase, the Implementation Phase, the Testing Phase, and the Maintenance Phase. Results of the development of the Farmer Data Information System (SiTani) with Optical Character Recognition (OCR) show that this app simpliﬁes the process of managing farmer data at Gapoktan Amanah as much as 59.3%.