scholarly journals DETEKSI SITUS PORNOGRAFI BERDASARKAN GAMBAR MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK

2019 ◽  
Vol 12 (2) ◽  
pp. 137-148
Author(s):  
Ahmad Hunaepi ◽  
Makhsun Makhsun ◽  
Sarwani Sarwani
Keyword(s):  
Neural Network ◽  
Information Technology ◽  
Convolutional Neural Network ◽  
Service Providers ◽  
Test Results ◽  
Training Process ◽  
Accuracy Rate ◽  
Internet Service ◽  
Internet Users ◽  
Network Method

Today, the development of information technology is very fast. It is also followed by the growth of internet sites that are very fast, no exception the growth of sites contains pornographic. The Association of Indonesian Internet Service Providers (APJII), in 2018, reports as many as 55.9% of Indonesian internet users had experienced of appearance pornographic content suddenly. This study aims to detect pornographic sites based on images using the convolutional neural network method. To find out the level of accuracy in detection of pornographic sites, a training process with a dataset of 300 images is required. From the test results, an accuracy rate of 85% in the detection of pornographic sites is obtained.

scholarly journals Detecting the Ripeness of Harvest-Ready Dragon Fruit using Smaller VGGNet-Like Network

2020 ◽  
Vol 3 (2) ◽  
pp. 35 ◽  
Author(s):  
I Made Wismadi ◽  
Duman Care Khrisne ◽  
I Made Arsa Suyadnya
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Convolutional Neural Network ◽  
Confusion Matrix ◽  
Learning Approach ◽  
Training Process ◽  
Dragon Fruit ◽  
Network Method

This study has a purpose to develop an application to detect the ripeness of the dragon fruit with the deep learning approach using the Smaller VGGNet-like Network method. In this study, the dragon fruit are classified into two classes: ripe or ready for harvest and still raw, by using the Convolutional Neural Network (CNN). The training process utilize the hard packages in python with the backend tensorflow. The model in this research is tested using the confusion matrix and ROC method with the condition that 100 new data are tested. Based on the test conducted, the level of accuracy in classifying the ripeness of the dragon fruit is 91%, and the test using 20 epoch, 50 epoch, 100 epoch, and 500 epoch produced an AUROC value of 0,95.

scholarly journals CNN for Image Identification of Hiragana Based on Pattern Recognition using CNN

2021 ◽  
Vol 6 (2) ◽  
pp. 62-71
Author(s):  
Chaerul Umam ◽  
Andi Danang Krismawan ◽  
Rabei Raad Ali
Keyword(s):  
Neural Network ◽  
Pattern Recognition ◽  
Convolutional Neural Network ◽  
Training Data ◽  
Training Process ◽  
Image Identification ◽  
Training Stage ◽  
Testing Stage ◽  
Testing Data ◽  
Network Method

Hiragana is one of the letters in Japanese. In this study, CNN (Convolutional Neural Network) method used as identication method, while he preprocessing used thresholding. Then carry out the normalization stage and the filtering stage to remove noise in the image. At the training stage use maxpooling and danse methods as a liaison in the training process, wherea in testing stage using the Adam Optimizer method. Here, we use 1000 images from 50 hiragana characters with a ratio of 950: 50, 950 as training data and 50 data as testing data. Our experiment yield accuracy in 95%.

scholarly journals Convolutional Neural Network (CNN) to determine the character of wayang kulit

2021 ◽  
Vol 3 (1) ◽  
pp. 1-8
Author(s):  
Aji Prasetya Wibawa ◽  
Wahyu Arbianda Yudha Pratama ◽  
Anik Nur Handayani ◽  
Anusua Ghosh
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Convolutional Neural Network ◽  
Training Process ◽  
Accuracy Rate ◽  
Black And White ◽  
Speed Up ◽  
Percent Accuracy ◽  
Wayang Kulit ◽  
Diverse Cultures

Indonesia is a country with diverse cultures. One of which is Wayang Kulit, which has been recognized by UNESCO. Wayang kulit has a variety of names and personalities, however most younger generations are not familiar with the characters of these shadow puppets. With today's rapid technological advancements, people could use this technology to detect objects using cameras. Convolutional Neural Network (CNN) is one method that can be used. CNN is a learning process that is included in the Deep Learning section and is used to find the best representation. The CNN is commonly used for object detection, would be used to classify good and bad characters. The data used consists of 100 black and white puppet images that were downloaded one at a time. The data was obtained through a training process that uses the CNN method and Google Colab to help speed up the training process. After that, a new model is created to test  the puppet images. The result obtained a 92 percent accuracy rate, means that CNN can differentiate the Wayang Kulit character

scholarly journals Implementation of Ecommerce on Small and Medium Enterprise

Tech-E ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 22
Author(s):  
Tugiman Tugiman ◽  
Dellih Wijaya ◽  
Yakub Yakub
Keyword(s):  
Service Providers ◽  
System Development ◽  
User Acceptance ◽  
Acceptance Test ◽  
Test Results ◽  
Internet Service ◽  
Small And Medium Enterprise ◽  
Internet Users ◽  
Technological Developments ◽  
Medium Enterprise

The trend of information system development and technological developments is continuously increasing. Every person or business actor must continuously update the technology. Based on the published results of a survey conducted by Indonesian Internet Service Providers Association  at the end of  2018, internet users in Indonesia reached 171.17 million from 264.16 million people or 64.8% of the total population.. Related to this, the researchers conducted research on the implementation of e-commerce in Small and Medium  Enterprise. Testing of this study uses the User Acceptance Test. The method that the authors do is by making a system that is applied to Small and Medium  Enterprise. Untuk mengetahui mengenai penerimaan sistem dan kegunaannya yang berkaitan dengan e-commerce penulis menggunakan metode kuesioner. Based on the black box examiner all test results show valid, while the examiner using the User Acceptance Test produces a number of 80.5% with good criteria. The answers used in this study may be 39 people

scholarly journals MODEL CNN LENET DALAM PENGENALAN JENIS GOLONGAN KENDARAAN PADA JALAN TOL

2020 ◽  
Vol 12 (2) ◽  
pp. 65
Author(s):  
Anggay Luri Pramana ◽  
Endang Setyati ◽  
Yosi Kristian
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Vehicle Classification ◽  
Test Results ◽  
Field Of Study ◽  
Neural Network Method ◽  
The Public ◽  
Network Method

Research in the field of transportation, especially vehicle classification with various methods, is a widely developed field of study. Vehicles can be categorized by shape, dimension, logo, and  type. The vehicle dataset is also not difficult to find because it is general in nature. Based on the research that has been done, the introduction of group types based on the number of axles with CNN, the dataset is not yet available to the public. In this paper, we discuss the introduction of the types of groups using the Convolutional Neural Network method. The architecture used is the LeNet model. The trial scenario is carried out in 4 stages, namely 25 epochs, 50 epochs, 75 epochs and 100 epochs. Based on the test results, the accuracy obtained continues to increase at 50 epochs and 100 epochs iterations. Starting from an accuracy of 82%, 94% to the highest accuracy of 95%. Likewise in the prediction the data has increased from 80%, 85% to the highest accuracy that can be 86%. From 50 epochs to 75 epochs, the accuracy of both training and testing has decreased.

scholarly journals Gambaran Perilaku Membeli Produk Pakaian Online di Kalangan Remaja

2018 ◽  
Vol 1 (1) ◽  
pp. 243-246
Author(s):  
Lasma Yulianti N ◽  
Sherry Hadiyani
Keyword(s):  
Information Technology ◽  
Service Providers ◽  
Easy Access ◽  
Statistical Techniques ◽  
The Internet ◽  
Measuring Instrument ◽  
Buying Behavior ◽  
Internet Service ◽  
Internet Users ◽  
Behavior Scale

Perilaku membeli merupakan kegiatan dalam mendapatkan atau menggunakan barang atau jasa baik secara langsung maupun tidak langsung yang bertujuan untuk memenuhi kebutuhan.Perkembangan teknologi informasi disertai mudahnya mengakses internet menyebabkan para produsen melakukan pemasaran produknya melalui internet sebagaimana disebut dengan ecommerce.Kemudahan akses dan banyaknya pilihan semakin mendorong konsumen untuk melakukan pembelian produk secara online. Hasil riset Asosiasi Penyedia Jasa Internet Indonesia (APJII)menunjukkan bahwa remaja adalah mayoritas pengguna internet di Indonesia dengan berbagai macam kegiatan yang bisa mereka lakukan salah satunya adalah berbelanja online.Remaja yang berada pada tahap imagery audience ingin selalu diperhatikan oleh lingkungan sekitarnya sehingga mereka membutuhkan atribut-atribut agar dapat diakui oleh lingkungan, salah satunya adalah pakaian. Oleh karena itu, penelitian ini difokuskan pada perilaku membeli produk pakaian onlinedi kalangan remaja. Penelitian ini menggunakan teknik statistik dekriptif. Subjek penelitian ini adalah siswa-siswi SMA Santo Thomas 1 Medan berjumlah 290 orang. Alat ukur yang digunakan adalah skala perilaku membeli yang disusun berdasarkan aspek perilaku membeli yang dikemukakan oleh Kotler (2008). Hasil penelitian ini menunjukkan bahwa gambaran perilaku membeli produk pakaian online subjek berada pada kategori sedang.   Buying behavior is an activity in obtaining or using goods or services either directly or indirectly that aims to fulfill the needs. The development of information technology along with easy access to the internet causes producers to market their products through the internet as e-commerce. The easy access and varied choices encourage consumers to purchase products online. The results of research by the Indonesian Internet Service Providers Association (APJII) showed that teenagers were the majority of internet users in Indonesia with various kinds of activities that could be done; one of which was shopping online. The teenagers who were in the step of imagery audience bound to be noticed by their surroundings. Therefore, they needed attributes to be recognized by the environment, one of which was clothing. Therefore, this study focused on the behavior of buying online clothing products among teenagers. This study used descriptive statistical techniques. The subjects of this study were students of Santo Thomas 1 Medan High School consisted of 290 people. The measuring instrument used was the buying behavior scale compiled based on the aspects of buying behavior proposed by Kotler (2008). The results of this study indicated that the description of the behavior of buying clothing products online was in the medium category.

Cyberpolitik

ADALAH ◽  
2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Munadhil Abdul Muqsith
Keyword(s):  
Political Communication ◽  
Total Population ◽  
Service Providers ◽  
Mailing List ◽  
The Internet ◽  
Internet Service Providers ◽  
Internet Service ◽  
Internet Users ◽  
Internet Media ◽  
First Time

Abstract:The internet developed for the first time in Indonesia in the early 1990s. Starting from the pagayuban network, it is now expanding without boundaries anywhere. A survey conducted by the Indonesian Internet Service Providers Association (APJII) said that the number of internet users in Indonesia in 2012 reached 63 million people or 24.23 percent of the country's total population. Next year, that figure is predicted to increase by close to 30 percent to 82 million users and continue to grow to 107 million in 2014 and 139 million or 50 percent of the total population in 2015. million people. This matter also results in political communication with the internet media, or is often said to be cyber politics. Cyber politics in Indonesia has faced growth in recent years. There are many facilities that support the growth of cyber politics, such as Facebook, Twitter, mailing list, YouTube, and others.Keywords: Cyberpolitik, Internet  Abstrak:Internet berkembang pertama kali di Indonesia pada awal tahun 1990-an. Diawali dari pagayuban network kini berkembang luas tanpa batas dimanapun juga. Suatu survei yang diselenggarakan Asosiasi Penyelenggara Jasa Internet Indonesia (APJII) mengatakan kalau jumlah pengguna internet di Indonesia tahun 2012 menggapai 63 juta orang ataupun 24,23 persen dari total populasi negeri ini. Tahun depan, angka itu diprediksi naik dekat 30 persen jadi 82 juta pengguna serta terus berkembang jadi 107 juta pada 2014 serta 139 juta ataupun 50 persen total populasi pada 2015. juta orang. Perihal ini pula berakibat pada komunikasi politik dengan media internet, ataupun kerap diucap dengan cyber politic. Cyber politic di Indonesia hadapi pertumbuhan sebagian tahun terakhir. Banyaknya fasilitas yang menunjang pertumbuhan cyber politic semacam terdapatnya facebook, Twitter, mailing list, youtobe, serta lain-lain.Kata Kunci: Cyberpolitik, Internet 

Understanding Customers' Continuance Intention

2021 ◽  
Vol 52 (2) ◽  
pp. 68-93
Author(s):  
Bangaly Kaba
Keyword(s):  
Information And Communication Technologies ◽  
Structural Equation ◽  
Service Providers ◽  
Equation Modeling ◽  
Continuance Intention ◽  
Internet Service ◽  
Digital Inequality ◽  
Internet Users ◽  
The Difference ◽  
Use Behavior

The purpose of this study is to understand the difference between Internet users' continuing use behavior in the context of digital inequality. Data were collected through a survey of Internet users in the Ivory Coast. The structural equation modeling technique was used to test the research hypothesis. This study showed empirically that concern over information and communication technologies (ICT) access as an explanation for digital inequality should be toned down. This research suggests emphasizing alternative factors to explain Internet sustained use intention by underprivileged individuals, including normative beliefs. The results will help internet service providers, governments, and international aid agencies to better understand users' behaviors or reactions to ICT available to them. This understanding provides a foundational platform upon which viable and effective information technology-enabled solutions and policies can be conceptualized and implemented. This study is one of the few that integrate three salient beliefs to differentiate ICT use continuance intention in the context of digital inequality.

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