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Journal : Jurnal Transformatika

Implementation of Profile Matching Methods In A Mobile Based Adolescent Nutritional Assesment Systems Bambang Agus Herlambang; Febrian Murti Dewanto; Aris Trijaka Harjanta; Vilda Ana Veria Setyawati
Jurnal Transformatika Vol 16, No 1 (2018): July 2018
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v16i1.868

Abstract

The use of mobile apps in knowing the problems as early as possible was considered effective. The application of mobile applications required today was an application that could help determine various health problems. The health problems discussed in this study were the nutritional status of adolescents. The method of measuring the nutritional status used was the BMI / A method. Profile Matching method in built mobile application is used to rank the nutritional status of adolescents. Aspect of nutritional status assessment in this research was physical aspect (BMI/A and Physical Activity) with 70% and Non-Physical Aspect (Eating & Socioeconomic Aspect) with 30% assessment percentage. Core factor in the determination of nutritional status were the Category of BMI and Frequency of Eating. While, secondary factor were food pattern and socio Economics. The results of mobile application implementation with Profile Matching method in this research there were several forms for the process of ranking the status of Adolescent Nutrition. The form contained in Administrator features include Administrator Login Form, Aspect Setup Form, Sub Aspect Setting Form, Physical Activity Setting Form, Form Setting Frequency Diet, Setting Form BMI/A, Economic Condition Set Form, Setting Form Weight Gap Value. In the User Features there was an Assessment form and a page to see the results of ranking the nutritional status of adolescents.
REAL TIME TRACKING OBYEK BERGERAK DENGAN WEBCAM BERBASIS WARNA DENGAN METODE BACKGROUND SUBTRACTION Aris Tri Jaka Harjanta; Febrian Murti Dewanto
Jurnal Transformatika Vol 15, No 1 (2017): July 2017
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v15i1.449

Abstract

Proses tracking obyek pada real time  video adalah salah satu topik yang penting dalam kajian suveillance system (Dhananjaya, Rama, and Thimmaiah 2015). deteksi dan ekstraksi informasi serta pelacakan obyek atau benda bergerak adalah sebagai salah satu bentuk aplikasi dari computer vision. Beberapa aplikasi yang memanfaatkan metode tracking object atau benda bergerak antara lain adalah UAV (Unmanned Aerial Vehicle) surveillance atau lebih dikenal dengan mesin/kendaraan tak berawak, Indoor Monitoring system adalah sistem monitoring keadaan dalam ruangan, serta memonitor trafik lalu lintas yang dapat mengamati pergerakan semua benda dalam keadaan real time. Tracking obyek dalam keadaan real time banyak hal yang perlu diperhatikan dan perlu diperhitungkan dimana semua parameter dan noise atau gangguan object di sekitarnya yang tidak perlu kita amati namun berada dalam satu bagian bersama obyek yang kita amati. Dalam penelitian ini metode yang akan digunakan adalah background subtraction untuk pendeteksian serta tracking obyek dan benda bergerak secara real time berbasis warna dengan memanfaatkan kamera webcam dan menggunakan pustaka opensource OpenCv.