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All Journal Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
Wiratsongko, Radityo
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Computer Science & IT

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Diagnosis Penyakit Tanaman Jagung Dengan Metode Case Based Reasoning Berbasis Android Lailiyah, Ami; Dwi Indriyanti, Aries; Wiratsongko, Radityo
Inovate Vol 5 No 1 (2020): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v5i1.3071

Abstract

Corn plant still ranks second as a staple food in Indonesia today. Limited knowledge and lack of understanding regarding the identification and handling of maize disease often result in less than optimal growth of the maize plant. If corn disease attacks when the maize is still young but the farmers are too late to control it, it is likely that it will have a bad impact on unsatisfactory yields and even result in crop failure. Given these problems, a system that has the expertise to diagnose diseases in corn is needed, which can process problems, accelerate and facilitate early detection of the risk of several diseases in corn plants. The method used to calculate the probability in the process of detecting the chance of emergence of the risk level of several diseases in corn is Case Base Reasoning using the java programming language, xml and using the Android-based MySQL database. The results of the system experiment carried out resulted in a rapid diagnosis with a percentage of certainty and a solution for treatment. Testing the respondent's assessment has resulted and it is concluded that the accuracy of the system based on the 30 data that has been tested can be seen that the diagnostic accuracy rate of this system reaches 83.33%. Keywords : Case Based Reasonig, Android, responden
Implementasi Web Scraping Pada Situs Berita Menggunakan Metode Supervised learning Hari Agus Prastyo, Edwin; Putra Eka Prismana, IGL; Wiratsongko, Radityo
Inovate Vol 5 No 1 (2020): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v5i1.3079

Abstract

Indonesia is one of the highest internet users in the world, including in the penetration of information on the internet, online news media. But in general news sites not only display news information, but Most sites also display other information such as advertisements and also forms of navigation that interfere with news site readers and interfere with reader comfort, from these problems this study aims to implement web scraping techniques with supervised learning methods and analyzing the form of DOM tree and XPath news sites. The supervised learning approach method is the method used in this study, which is one of the methods of machine learning. By combining these web scraping techniques with supervised learning, the aim is to be able to implement and optimize web scraping techniques to gather news information from various sites. To do basic web scraping that is knowing DOM patterns, XPath structure as a data model or selector at each site. The results of research in the form of a web scrap application that can retrieve news site content without copy paste and the data is stored in a database and displayed to the user application form for the reader without any ads and navigation that disturb the reader. Keywords: web scraping, supervised learning, XPath, DOM tree.
Penerapan Algoritma Binary Searching Untuk Pencarian Berkas Pada Sistem Pengarsipan (Study Kasus: Pemerintahan Desa Kedungbetik) Nasruddin, Hammam; Mashuri, Chamdan; Wiratsongko, Radityo
Inovate Vol 5 No 2 (2021): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v5i2.3121

Abstract

Archiving files and searching files that are still using manual or not computerized methods. The purpose of this research is to create a website-based filing system that has a file search feature with a fast and accurate time of the many files that have been archived. To find files quickly and accurately from a lot of data, we need an algorithm, the binary searching algorithm. This algorithm is a search algorithm that can search for files in a fast time and has a lighter amount of computing. From the results of testing the search speed using a binary search algorithm, the data search speed test is 100 document archive data, with the name of the data sought is population data. Searching using an algorithm has a time of 148 / ms while searching without using an algorithm is 799 / ms. From testing the search speed using a binary search algorithm this is 95% Keywords: System, Archiving, Algorithm, Binary Searching, File, Searching
Co-Authors ARIES DWI INDRIYANTI, ARIES Hari Agus Prastyo, Edwin Lailiyah, Ami Mashuri, Chamdan Nasruddin, Hammam Putra Eka Prismana, IGL