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All Journal KOVALEN: Jurnal Riset Kimia Computatio : Journal of Computer Science and Information Systems Jurnal Ilmiah KORPUS Jurnal Pengabdian Magister Pendidikan IPA Jurnal Keperawatan dan Fisioterapi (JKF) Meraja journal Medika Alkhairaat : Jurnal Penelitian Kedokteran dan Kesehatan Agriecobis : Journal of Agricultural Socioeconomics and Business Masyarakat Berdaya dan Inovasi JOINT (Journal of Information Technology SIGANUS: Journal of Fisheries and Marine Science Jurnal Paris Langkis Hasil Karya Aisyiyah Untuk Indonesia Jurnal Ilmu Sosial, Humaniora dan Seni Karimah Tauhid
Indriani
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Journal : JOINT (Journal of Information Technology

 1 
Applying Transfer Learning ResNet-50 for Tracking and Classification of A Coral Reef in Development The Mobile Application with Scrum Framework Indriani
Journal of Information Technology Vol 4 No 2 (2022): JOINT (Journal of Information Technology)
Publisher : LPPM STMIK AMIK BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47292/joint.v4i2.90

Abstract

A Coral Reef has an important role in keeping a balanced ecosystem in the ocean. This research aims to develop a mobile application to track and classify to identify Coral Reefs with a presentation of information names of species, the type of classification of coral (hard or soft coral), accuracy, and area distribution that has been recorded before in certain areas. This research, utilized Flutter for deploying a mobile application, Deep Learning of Transfer Learning (TL) ResNet-50 for the classification of Coral Reefs, and the Google Cloud Platform used to deploy Rest API and deploy model TL ResNet-50 has been created, then the MongoDB database for storing data of the Coral Reef. A species of Coral Reef that could be classified to identify i.e. Acropora Clathrata, Acropora Florida, Cyphastrea Microphthalma, Diploastrea Heliopora, and Pachyseris Speciosa. A total dataset of a Coral Reef has 2197 images and is trained with TL ResNet-50 and it has resulted in an accuracy of 0.9594 or 96% for the classification of Corel Reef. We used the Scrum framework to produce a product in a short time and assist to manage process application development.
RANCANG BANGUN APLIKASI SISTEM PANTAU GULA DARAH DIABETES Indriani
Journal of Information Technology Vol 5 No 1 (2023): JOINT (Journal of Information Technology)
Publisher : LPPM STMIK AMIK BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Technology has a very important role in various fields, one of which is in the medical field. the use of technology in the medical field can be used to assist in the management of patient administration data up to medical examinations of patients related to medical data. Cases of diseases that require management of medical data on a routine scale, namely Diabetes Mellitus (DM). According to the International Diabetes Federation (IDF) Data Atlas for 2021, Indonesia is ranked 5th with the largest number of diabetics in the world by showing an increase in the number of sufferers almost doubling in the past two years, namely 19.46 million cases [1]. With this large number of cases, the management of Diabetes Mellitus (DM) is needed in patients regularly. Because the fundamental thing in the management of DM, especially type 2 DM is a change in lifestyle, including a good diet and regular exercise. The individual's ability to manage daily life, control, and reduce the impact of the disease suffered by patients is known as self-management. The main objective of the DM monitoring system in the management of DM is to regulate glucose levels within normal limits to reduce symptoms and prevent complications that occur in people with DM. The research method used in the development of this self-management application is the Scrum method. The research results obtained are an information system to monitor diabetes blood sugar that makes it easier for diabetics to monitor their health independently.
Co-Authors , Kusnadi Abdul Halim Ahmad Ridhay Aini Auliana Amar Baihaqi, M. 'Azizan 'Azmani DIAN LESTARI Dika Rizki Imania Dwiana, Nidia Nur Erwin Abdul Rahim FAJAR Suhana Saputra Fitriah, Reski Herry Ishwahyudi Husain Sosidi Inda, Nov Irmawati Indriani, Kasil Sri Khairuddin Khairuddin Linda Rahmawati Mahfud, Chairul Rusyd Mahmud, Usamah Masliyana Mayalisa Diantamaela Moh. Mirzan Muhammad Ansar, Muhammad Muhammad Helmy Abdillah Muhammad Nur Muliati Najma, Siti Neni Noviza Nensilianti Noordianty, Andina Syita Nor Faizah Kaeni1 Nur, Raybian Nurakhirawati Nurlaela, Raden Siti Rahmina, Faza Alya Ridwan Ridwan Ririn Wahyu Hidayati Risman, Kadar Saharuddin Saleh, Rachman Savitri, Mersya Nurina Seran, Ary Setiawan Sitti Nur Halizah Sri Lestari Linawati Tussadia, Halimah Ujang Candra Irawan Veni Fatmawati Virginia, Alfanny Widayanti, Erina Wisnu Sinar Pratama Yanti, Dewi Yosef Lucy Dwi Prasetya Zubaida Rohmawati