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All Journal International Journal of Electrical and Computer Engineering El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Journal of Ekonomics, Finance, and Management Studies
Asyaroh Ramadona Nilawati
Universitas Gunadarma
Religion Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering Social Sciences

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Identification of Plant Types by Leaf Textures Based on the Backpropagation Neural Network Taufik Hidayat; Asyaroh Ramadona Nilawati
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 6: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (482.905 KB) | DOI: 10.11591/ijece.v8i6.pp5389-5398

Abstract

The number of species of plants or flora in Indonesia is abundant. The wealth of Indonesia's flora species is not to be doubted. Almost every region in Indonesia has one or some distinctive plant(s) which may not exist in other countries. In enhancing the potential diversity of tropical plant resources, good management and utilization of biodiversity is required. Based on such diversity, plant classification becomes a challenge to do. The most common way to recognize between one plant and another is to identify the leaf of each plant. Leaf-based classification is an alternative and the most effective way to do because leaves will exist all the time, while fruits and flowers may only exist at any given time. In this study, the researchers will identify plants based on the textures of the leaves. Leaf feature extraction is done by calculating the area value, perimeter, and additional features of leaf images such as shape roundness and slenderness. The results of the extraction will then be selected for training by using the backpropagation neural network. The result of the training (the formation of the training set) will be calculated to produce the value of recognition accuracy with which the feature value of the dataset of the leaf images is then to be matched. The result of the identification of plant species based on leaf texture characteristics is expected to accelerate the process of plant classification based on the characteristics of the leaves.
Kepuasan Sebagai Moderasi Pengaruh Citra Merek, Kepercayaan, dan Komitmen Terhadap Loyalitas Pelanggan Aplikasi Transportasi Online Kartika Sari; Asyaroh Ramadona Nilawati
El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Vol. 5 No. 7 (2024): El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmal.v5i7.4171

Abstract

The increasing business competition that exists requires business people to be more creative and innovative in creating new businesses and competitiveness, especially in the transportation business. Where today's people need transportation that is fast, safe, comfortable and easy to find. This research aims to determine the influence of satisfaction as a moderating influence of brand image, trust and commitment on customer loyalty of online transportation applications. The current analysis uses a quantitative approach. The results of this research have found that brand image, trust and commitment influence customer loyalty in online transportation applications. Satisfaction as moderation is able to moderate trust in customer loyalty of online transportation applications. However, satisfaction was not able to moderate brand image and commitment to customer loyalty of online transportation applications in this research.
Kepuasan Sebagai Moderasi Pengaruh Citra Merek, Kepercayaan, dan Komitmen Terhadap Loyalitas Pelanggan Aplikasi Transportasi Online Kartika Sari; Asyaroh Ramadona Nilawati
El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Vol. 5 No. 7 (2024): El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmal.v5i7.4171

Abstract

The increasing business competition that exists requires business people to be more creative and innovative in creating new businesses and competitiveness, especially in the transportation business. Where today's people need transportation that is fast, safe, comfortable and easy to find. This research aims to determine the influence of satisfaction as a moderating influence of brand image, trust and commitment on customer loyalty of online transportation applications. The current analysis uses a quantitative approach. The results of this research have found that brand image, trust and commitment influence customer loyalty in online transportation applications. Satisfaction as moderation is able to moderate trust in customer loyalty of online transportation applications. However, satisfaction was not able to moderate brand image and commitment to customer loyalty of online transportation applications in this research.
Co-Authors Kartika Sari Taufik Hidayat