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All Journal Jurnal Teknologi dan Manajemen Informatika Prosiding SNATIKA Vol 01 (2011) PROCEEDING IC-ITECHS 2014 SMATIKA JPM (Jurnal Pemberdayaan Masyarakat) Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Teknologi Informasi dan Terapan (J-TIT) Teknika J-Intech (Journal of Information and Technology) Mavis : Jurnal Desain Komunikasi Visual Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) KOPEMAS Elang: Journal Of Interdisciplinary Research Journal of Information Technology
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Informatika, Sekolah Tinggi Informatika & Komputer Indonesia, Malang, Indonesia
Aerospace Engineering Arts Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Neuroscience Social Sciences Transportation Other

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Journal : PROCEEDING IC-ITECHS 2014

 1 
The Use of Smartphone To Process Personal Medical Record By Using Geographical Information System Technology Go Frendi Gunawan, Subari,
PROCEEDING IC-ITECHS 2014 PROCEEDING IC-ITECHS 2014
Publisher : PROCEEDING IC-ITECHS 2014

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Abstract

In this era medical record is focussed on how to arrange medical record document. Thestatus of manual medical record will be kept on the storage, the media like paper is very easy to be broken and lost. Therefore the information of  medical record data will be difficult to be gotten completely, moreover the file of medical record especially for using personal is not easy to be kept.How the people face the improvement in using the gadget and also smartphone. it should be cope with how to optimalize smartphone technology used by people by using correct information  media  in  the  implementing  electronic  medical  record  for  each  person.  This research  design  also  includes  the  technology  of  geographical  information  system  for  the spatial data of private doctor, hospital, medical laboratorium and related object for every using smartphone.This research will result the running application on the smartphone that can operate and manage individual medical record. It can be integrated online on the center of health and give recommendation and retrieval information about medical note for the hospital, private doctor or other health service. The invention of this application can process the medical record data from some deseases fast, more detail and easy, also the geographical visualization for the related health service.
Multiple And Single Haar Classifier For Face Recognition Subari, Go Frendi Gunawan,
PROCEEDING IC-ITECHS 2014 PROCEEDING IC-ITECHS 2014
Publisher : PROCEEDING IC-ITECHS 2014

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Abstract

Haar-Classifier is a well-known tool for face detection in an image. Open-CV libraryalready provide a class for Haar-Classifier implementation. However, one significant problem in face detection is tilt-face-pose recognition. In this paper, we will discuss about two different solutions to overcome the problem. The solutions are written in Python which has a very simple  syntax.  The  first  solution  is  using  multiple  classifier.  Each  of  them  is  trained  to recognize face with different rotation-degrees. The second solution is using single classifier to recognize many face image which have been rotated by different angles.
The Use of Smartphone To Process Personal Medical Record By Using Geographical Information System Technology Subari Subari; Go Frendi Gunawan
IC-ITECHS Vol 1 (2014): Prosiding IC-ITECHS 2014
Publisher : IC-ITECHS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1669.678 KB)

Abstract

In this era medical record is focussed on how to arrange medical record document. The status of manual medical record will be kept on the storage, the media like paper is very easy to be broken and lost. Therefore the information of medical record data will be difficult to be gotten completely, moreover the file of medical record especially for using personal is not easy to be kept. How the people face the improvement in using the gadget and also smartphone. it should be cope with how to optimalize smartphone technology used by people by using correct information media in the implementing electronic medical record for each person. This research design also includes the technology of geographical information system for the spatial data of private doctor, hospital, medical laboratorium and related object for every using smartphone. This research will result the running application on the smartphone that can operate and manage individual medical record. It can be integrated online on the center of health and give recommendation and retrieval information about medical note for the hospital, private doctor or other health service. The invention of this application can process the medical record data from some deseases fast, more detail and easy, also the geographical visualization for the related health service
Multiple And Single Haar Classifier For Face Recognition Go Frendi Gunawan; Subari Subari
IC-ITECHS Vol 1 (2014): Prosiding IC-ITECHS 2014
Publisher : IC-ITECHS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1706.007 KB)

Abstract

Haar-Classifier is a well-known tool for face detection in an image. Open-CV library already provide a class for Haar-Classifier implementation. However, one significant problem in face detection is tilt-face-pose recognition. In this paper, we will discuss about two different solutions to overcome the problem. The solutions are written in Python which has a very simple syntax. The first solution is using multiple classifier. Each of them is trained to recognize face with different rotation-degrees. The second solution is using single classifier to recognize many face image which have been rotated by different angles.
Co-Authors Achmad Zakiy Ramadhan Adita Ayu Kusumasari Adita Ayu Kusumasari Alfi Syahrin Amzar Ghazidayana Anita Bimo Prakoso Choirul Anam Delya Nabilla Umairoh Diah Arifah Donny Febrian Hardy Eghi Yulina Anggraeni Eko Ardian Pranata Febry Eka Purwiantono Ferdianus, Ferdianus Go Frendi Gunawan Go Frendi Gunawan I Made Rama Pratama Jozua Ferjanus Palandi Laila Isyriyah Laksono Trisnantoro Moh Alek Mustofa Muhammad Henry Setiawan Mustofa, Moh Alek Nira Radita Nira Radita Nira Radita Nira Radita Poerbanintyas, Evy Pranata, Eko Ardian Putra, Rifki Pramoendhito Rachmania Indah Permata Sari Rahmat Kurniawan Rakhmad Maulidi Ramadhan, Adrian Rifki Pramoendhito Putra Rina Nurfitri Robert Saputra Roly Segara Saiful Yahya Saputra, Syaifuddin Yudha Sari, Rachmania Indah Permata Setiabudi Sakaria Setiawan, Muhammad Henry Siti Aminah Siti Aminah Siti Aminah Stefanus Ericko Dewangga Syaifuddin Yudha Saputra Trio Didin Ermawan