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RANCANG BANGUN APLIKASI PENDETEKSI TINGKAT KEKERINGAN PADA BIJI KAKAO BERBASIS ANDROID Surya Ayu Nengsih, Febby; Suwardoyo, Untung; Irmayani, Andi; Masnur
Jurnal Manajemen dan Teknologi Informasi Vol. 15 No. 2 (2025): Jurnal Manajemen dan Teknologi Informasi
Publisher : Fakultas Teknik dan Informatika Universitas PGRI Mahadewa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59819/jmti.v15i2.5127

Abstract

The cocoa industry faces challenges in ensuring the quality of cocoa beans, especially in detecting the level of dryness that affects the taste and quality of the final product. This study aims to design and develop an Android-based application that can detect the level of dryness of cocoa beans using machine learning technology, specifically Convolutional Neural Network (CNN) implemented with TensorFlow Lite. This application aims to provide a practical and efficient solution for farmers, especially in remote areas, using easily accessible Android devices. The CNN model was trained using a dataset of cocoa bean images with three categories of dryness: Wet, Half Dry, and Dry. The application was tested on 30 respondents consisting of farmers and cocoa bean processors to assess detection accuracy and ease of use. The test results showed that the application was able to detect the level of dryness of cocoa beans with adequate accuracy and appropriate detection speed on Android devices with low specifications. Although this application shows significant potential, several challenges remain, especially related to optimizing detection in poor lighting conditions. This research contributes to the use of mobile technology and machine learning to improve the quality of agricultural products, as well as opening up opportunities for further development in digital-based agricultural systems.
The Influence Of Placement, Development Of Human Resources And Infrastructure On The Implementation Of Asn Department's Duties For Women's Empowerment, Child Protection, Population And Family Control District Planning Selayar Islands Irmayani, Andi; Rusydi, Muhammad; Jusriadi, Edi
Eduvest - Journal of Universal Studies Vol. 4 No. 7 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i7.1611

Abstract

The Influence of Placement, Development of Human Resources and Infrastructure on the Implementation of ASN's Duties and Duties of the Women's Empowerment, Child Protection, Population Control and Family Planning Services of Selayar Islands Regency, guided by Mr. Muhammad Rusydi as supervisor I and Mr. Edi Jusriadi as supervisor II. This research aims to analyze and understand the influence of placement on the implementation of ASN's main duties and functions, development of human resources on the implementation of ASN's main duties and functions, and infrastructure on the implementation of ASN's main duties and functions at the Department of Women's Empowerment, Child Protection, Population Control and Family Planning, Selayar Islands Regency. This type of research is quantitative with a sample of 55 respondents using a questionnaire as a source of data collection. The analysis used is Multiple Linear Regression Analysis using the SPSS V.29 application. The research results show that: (1). Placement has a positive and significant effect on the implementation of ASN's main duties and functions, (2). Human resource development has a positive and significant effect on the implementation of ASN's main duties and functions, and (3). Infrastructure has a positive but not significant effect on the implementation of ASN's main duties and functions at the Women's Empowerment, Child Protection, Population Control and Family Planning Services in Selayar Islands Regency.