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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Arie Satia Dharma
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Computer Science & IT Engineering Social Sciences Other

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Performance Analysis of MobileNetV3-based Convolutional Neural Network for Facial Skin Disorder Classification Herimanto; Arie Satia Dharma; Junita Amalia; David Largo; Christin Adelia Pratiwi Sihite
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 8 No 6 (2024): December 2024
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v8i6.5982

Abstract

Accurately identifying facial skin types is essential for recommending the right skincare treatments and products. Misidentifying skin types can lead to negative consequences, such as irritation or worsening of skin conditions. This study investigated methods for classifying facial skin types into five categories: oily, acne-prone, dry, normal, and combination. A dataset of 1725 augmented facial images was used. Data augmentation techniques likely increased the dataset's diversity, which helps improve the model's generalization ability. The data underwent preprocessing, including rescaling, before being applied to two deep learning models, CNN and MobileNetV3. The models were evaluated based on accuracy and execution time to determine the most effective approach for classifying facial skin types. The CNN model achieved an accuracy of 64%, demonstrating its potential for image classification tasks. However, the MobileNetV3 model significantly outperformed CNN with an accuracy of 84%. This superior performance is attributed to MobileNetV3's advanced architecture, which is optimized for efficient feature extraction, and particularly relevant for capturing the subtle variations in facial skin types. Therefore, MobileNetV3 emerged as the more effective method for classifying facial skin types with higher accuracy.
Socialization of Village Website Management in Pardinggaran Village: Sosialisasi Pengelolaan Website Desa di Desa Pardinggaran Simbolon, Iustisia; Arie Satia Dharma; Herimanto, Herimanto; Tahan HJ Sihombing; Nenni Mona Aruan; Archico Darius Simpar Sembiring; Enrico Hezkiel Sirait; Wilona Diva Artha Simbolon; Emely Angelica Lestari
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 2 (2024): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v8i2.16509

Abstract

Socialization of village website management in Pardinggaran Village is an activity that helps the government increase awareness among village officials that village websites are a medium for promoting village tourism potential and superior village products. This activity is based on the results of observations on the village website owned by Pardinggaran Village which is still not optimal in managing information related to the village. There is still very little information regarding Pardinggaran Village from the website. Lack of exposure to village activities can be one of the reasons for the lack of tourism development in the village. This is because Pardinggaran Village is a village located in Toba Regency which is a tourist destination area. So, based on these problems, this activity aims to provide innovative solutions in the form of socialization in managing village websites. Through this activity, it is hoped that it can help Pardinggaran Village in managing the village website optimally so that the village website can be used as a medium for information and promotion.
Co-Authors Archico Darius Simpar Sembiring Christin Adelia Pratiwi Sihite David Largo Emely Angelica Lestari Enrico Hezkiel Sirait Herimanto Herimanto Herimanto Herimanto JUNITA AMALIA nenni mona aruan Simbolon, Iustisia Tahan HJ Sihombing Wilona Diva Artha Simbolon