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Dewi Nurdiyah
Universitas Semarang
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PERBANDINGAN SUPPORT VECTOR MACHINE DAN K-NEAREST NEIGHBOR UNTUK KLASIFIKASI TELUR FERTIL DAN INFERTIL BERDASARKAN ANALISIS TEXTURE GLCM Dewi Nurdiyah; Indra Abdam Muwakhid
Jurnal Transformatika Vol 13, No 2 (2016): January 2016
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v13i2.324

Abstract

Fertility eggs test are steps that must be performed in an attempt to hatch eggs. Fertility test usually use egg candling. The purpose of observation is to choose eggs fertile  (eggs contained embryos) and infertile eggs (eggs that are no embryos). And then fertilized egg will be entered into the incubator for hatching eggs and infertile can be egg consumption. However, there are obstacles in the process of sorting the eggs are less time efficient and inaccuracies of human vision to distinguish between fertile and infertile eggs. To overcome this problem, it can be used  Computer Vision technology is having such a principle of human vision. It used to identify an object based on certain characteristics, so that the object can be classified. The aim of this study to comparasion classify image fertile and infertile eggs with SVM (Support Vector Machine) algorithm and K-Nearest Neighbor Algorithm based on input from bloodspot texture analysis and blood vessels with GLCM (Gray Level Co-ocurance Matrix).  Eggs image  studied are 6 day old eggs. It is expected that the proposed method is an appropriate method for classification image fertile and infertile eggs.
Decision Support System For Approval New Student And Majoring Selection Based On Student’s Interest And Talent By Fuzzy Multiple Decision Making, Simple Additive Weighting And Buble Sort Method In SMK Telekomunikasi Tunas Harapan Dewi Nurdiyah
Jurnal Transformatika Vol 14, No 1 (2016): July 2016
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v14i1.388

Abstract

Decision Support System for New Student Acceptance aims to simplify the Decision Maker who is the Committee of New Student Acceptance to select prospective new students based on eight criteria. That is registration number, the average value of National Examinations, medical tests, interview, their achievements, salary of parents per month, number of siblings who are still in school and administration department and give recommendations for the major of accepted students based on their interests and talents. There are four major in SMK Telekomunikasi Tunas Harapan, these are Rekayasa Perangkat Lunak (RPL), Teknik Komputer dan Jaringan (TKJ), Multimedia and Teknik Kendaraan Ringan (TKR). And the talents be measured by math test, electro test, daw test and physics test.
Restful Web Service Sistem Presensi Mahasiswa (Studi Kasus Fakultas Teknologi Informasi dan Komunikasi Universitas Semarang) DEWI NURDIYAH; Sri Handayani
Jurnal Transformatika Vol 15, No 2 (2018): January 2018
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v15i2.748

Abstract

The Student attendance at the Faculty of Information Technology and Communication University of Semarang  is data that can support in academic activities. validity and realbility of the attendance data  become obstacles in academic activities. So, Required attendance system that can prevent the occurrence of cheating attendance, facilitate lecturers to recap student attendance and facilitate administrative staff to recap lecturers’s attendance. In this research, student attendance system is made with two platforms, there are web based platform and platform based on android. Restful web service with JSON format is used to build communication between both platforms. In the attendence system android based, QRCode's Reader is used to read student QRCode cards to save attendance data. student dan lecture attendance can be monitored through attendance system web based. The attendance system test is done by testing all of the features and complexity of the algorithm with cyclomatic complexity. The test results show that all features can be used without error and cyclomatic complexity value show that algorithm of the attendance system  is easy to understand, easy to test and easy to maintain. 
Co-Authors Indra Abdam Muwakhid Sri . Handayani