Sistem Deteksi Penyakit Dan Crawling Informasi Pada Tanaman Buah Naga Berbasis Web Dan Android

Hakim, Lutfi; Kristanto, Sepyan Purnama; Yusuf, Dianni; Asyari, Aditya Roman; Umam, Khoirul

doi:10.33365/jti.v17i1.2256

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…Penelitian tentang deteksi atau identifikasi motif Batik Banyuwangi sebetulnya beberapa sudah dilakukan [7], [8]. Adapun teknik crawling telah banyak digunakan pada kebutuhan tertentu, seperti untuk ekstraksi informasi pariwisata pada TripAdvisor [9], crawling toko obat buah naga dari Tokopedia [10], serta kebutuhan lain seperti ekstraksi informasi halaman web dengan pendekatan bootstrapping [11].…”

Section: Introduction (Heading 1)unclassified

Aplikasi Deteksi Motif dan Crawling Produk Batik Banyuwangi Berbasis Web

Hakim¹,

Novitasari²,

Kristanto³

et al. 2022

SISFOKOM

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Batik is a high cultural heritage that is worldwide and made by the Indonesian nation. The motifs arranged in batik express the meaning of certain cultural values or moral lessons. Therefore, each region in Indonesia develops its own batik with patterns or motifs that are characteristic of their respective regions, Banyuwangi Regency is no exception. Until now, more than 30 batik motifs are spread and traded in Banyuwangi. However, with the growing potential of Banyuwangi batik, digital technology support is still not optimal. Therefore, in this study, an application was developed that can detect via web devices and also extract information related to Batik Banyuwangi products in the marketplace. Applications developed using the Python programming language with the Django framework and MySQL database. The detection process is run with the *h5 extension model using the tensorflow library as well as the selenium and beautiful soup libraries for crawling. The system development method uses the Extreme Programming method and the results of testing using Black box testing are 78.57% of the application features are declared valid and the rest need improvement. In addition, in addition to testing with black-box testing, testing for the implementation of web-crawling was also carried out and the results obtained 16.89% stated that there was a difference between the crawling results with the proposed technique and the actual amount of data. The results of this study are expected to be the beginning in developing the Banyuwangi Batik Gallery application.

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Section: Introduction (Heading 1)unclassified

Aplikasi Deteksi Motif dan Crawling Produk Batik Banyuwangi Berbasis Web

Hakim¹,

Novitasari²,

Kristanto³

et al. 2022

SISFOKOM

View full text Add to dashboard Cite

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Classification of Dragon Fruit Stem Diseases Using Convolutional Neural Network

Hakim,

Asyhari,

Kristanto

et al. 2023

intensif

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A holticulture plant known as dragon fruit (pitaya) is a fruit that has many benefits and is widely cultivated by farmers in several areas of Banyuwangi. In dragon fruit plants there are various kinds of diseases that attack including red spot, stem rot, black rot, scab, and mosaic. Farmers still recognize diseases on dragon fruit stems manually so that sometimes there are errors in disease recognition. In this research, a system was developed to identify the types of diseases on dragon fruit stems. This system was built by proposing the Convolutional neural network method with the proposed architecture using the Python programming language with the Tensorflow, Keras, and Scikit-Learn libraries. The proposed system is tested using k-fold cross validation with tunning parameters fold = 5 and epoch = 5. The training results show that the highest accuracy performance value is 85.06% with the data used as test data as many as 191 images producing 147 correct data and 44 data wrong, while the average overall accuracy score was 76.43%.

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Sistem Deteksi Penyakit Dan Crawling Informasi Pada Tanaman Buah Naga Berbasis Web Dan Android

Cited by 2 publications

References 8 publications

Aplikasi Deteksi Motif dan Crawling Produk Batik Banyuwangi Berbasis Web

Aplikasi Deteksi Motif dan Crawling Produk Batik Banyuwangi Berbasis Web

Classification of Dragon Fruit Stem Diseases Using Convolutional Neural Network

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