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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Ashari, Suci
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Computer Science & IT Languange, Linguistic, Communication & Media Library & Information Science

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Oil Palm Fruit Ripeness Detection using Deep Learning Ashari, Suci; Yanris, Gomal Juni; Purnama, Iwan
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 2 (2022): Articles Research Volume 6 Issue 2, April 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i2.11420

Abstract

To detect the maturity level of oil palm Fresh Fruit Bunches (FFB) generally seen from the loose fruit that fell to the ground. This method is always used when harvesting swit coconuts. Even though this method is not always valid, because many factors cause the fruit to fall from the bunch. The manual harvesting process can result in the quality of palm oil being not optimal. For this reason, technology is needed that can ensure the maturity level of oil palm FFB. This study aims to detect the maturity of oil palm FFB based on digital images by applying a deep learning algorithm so that the maturity level can be classified into three categories, namely: raw, ripe, and rotten. The deep learning algorithm was chosen because there have been many studies that have proven its high level of accuracy. This research method starts from; preparation of data, designing architectural models and convolutional neural network parameters, testing models, testing images, and analyzing results. From the results of the study, it was found that the convolutional neural network algorithm can be applied to detect the maturity level of oil palm FFB with an accuracy value of 92% for test data, and 76% for model testing.
IMPLEMENTASI CYBER PUBLIC RELATIONS DALAM PEMBENTUKAN CITRA KEPOLISIAN RESOR KOTA (POLRESTA) SAMARINDA Ashari, Suci; Arsyad, Annisa Wahyuni
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.411

Abstract

The new era of rapid development of information technology today not only affects some aspects, but also activities carried out by PR (Public Relations) practitioners. This indirectly requires PR practitioners to face changes, namely the transition from the conventional era to the digital era. Conventional to digital PR activities are also known as Cyber Public Relations (CPR). One of the challenges of PR in the digital world is managing negative opinions from the public that can affect the positive image built by the organization. Currently, police agencies are one of the state institutions that are vulnerable to negative public opinion and are often threatened by their reputation in the eyes of the public. Therefore, this research aims to examine the implementation of Cyber Public Relations of Samarinda Police in shaping a positive image in the eyes of the community and what obstacles are experienced to form a positive image. In this research, the theory used is the Excellence of Public Relations theory. To reveal these issues thoroughly and in depth, this research uses a qualitative method with a descriptive approach to explain the situation and conditions of Cyber Public Relations activities of Samarinda Police. The results of this study indicate that the implementation of Cyber Public Relations by the Public Relations of Samarinda Police has not been carried out comprehensively. CPR activities of Samarinda Police only reach the level of press agentcy and public information, Public Relations also has not involved the community in CPR activities to improve their image. Some of the obstacles experienced by Samarinda Police Public Relations are related to the lack of human resources and interaction from the public in the media they manage.
Co-Authors Arsyad, Annisa Wahyuni Iwan Purnama Yanris, Gomal Juni