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All Journal International Journal of Electrical and Computer Engineering Jurnal Ilmiah Informatika Komputer Prosiding KOMMIT EXPLORE Dinasti International Journal of Management Science Cakrawala Repositori Imwi EXPLORE Explore Prosiding SeNTIK STI&K
Asep Juarna
Universitas Gunadarma
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Other

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Journal : Explore

 1 
Deep Learning Implementation Using Convolutional Neural Network In Detecting Diseases In Potato Leaves Santi Dwi Agustin; Asep Juarna
Explore Vol 13 No 1 (2023): Januari 2023
Publisher : Universitas Teknologi Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35200/ex.v13i1.31

Abstract

Potatoes are one of the tubers that planted on highland and lot of farmers who interesting because potatoes have stable value of selling. Based of Kementan notes (2018) that often failed harvest happened on farmers of potatoes. This research will explaining aboutdiseases classification on leaves of potatoes using Convolutional Neural Networks (CNN) which is deep learning neural network. The purpose of this research is ti develop model of artificial neural network using Backpropagation and high accuracy CNN method. The model’s parameters has 75 epochs and 30 batch_size while the activation modes uses Relu and Softmax ones. Evaluation of the model’s scores are 100% of training image and 96% of testing or validation image.
IMPLEMENTATION RFM ANALYSIS MODEL FOR CUSTOMER SEGMENTATION USING THE K-MEANS ALGORITHM CASE STUDY XYZ ONLINE BOOKSTORE Tri Juhari; Asep Juarna
Explore Vol 12 No 1 (2022): Januari 2022
Publisher : Universitas Teknologi Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35200/ex.v12i1.96

Abstract

XYZ online bookstore is one of the companies engaged in the online book sales industry that located in Jakarta, Indonesia, but the marketing strategy given to customers has not been maximized, so it has not been able to increase book purchase transactions. Therefore a customercentered marketing strategy is needed by implementing Customer Relationship Management, One of the methods that can be applied is customer segmentation. Customer segmentation can be done by implementing a data mining process which carried out by using the K-means clustering algorithm and based on the RFM (Recency, Frequency, Monetary) model. . Determining the number of clusters in the clustering process using the elbow method. Performance tests on cluster results using the silhouette method, and the Calinski-Harabasz index. The results of cluster analysis based on customer value using the RFM Combination and Customer Value Matrix methods show that based on the RFM Combination method produces 3 types of customer characteristics namely loyal customers, new customers, and lost customers. Meanwhile, based on the customer value matrix method, it produces 2 types of customer characteristics namely best customer and uncertain customer.
Co-Authors A Benny Mutiara Achmad Benny Mutiara Adang Suhendra Bagus Setiadi Gurmilang Dharmayanti Dharmayanti Djati Kerami Erni Rihyanti Ilmiyati Sari Jahfal Uno Surya Lazuardi Maria Sri Wulandari Prihandoko . Rezky Puteri Sariaji Rina Refianti Santi Dwi Agustin Santi Dwi Agustin Sulaiman, Agus Suryadi Harmanto Tri Juhari Yudha Destianto Dwi Prakoso Zulkarnaen, Banu Harsa