Garuda - Garba Rujukan Digital

Perancangan Sistem Informasi Manajemen pada Klinik Skala Kecil (Studi Kasus: Klinik Dr. Jonni) Ayuliana, Ayuliana; Wijaya, Stanislaus Steven; Lawunugraha, Lawrentius Siangjaya; Iswanto, Irene Anindaputri
ComTech: Computer, Mathematics and Engineering Applications Vol 5, No 2 (2014): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v5i2.2366

The purpose of this research was to develop a database application at dr. Jonni clinic which can be used for processing and recording of operational data with an attractive user interface. Through the integrated database application, data on dr. Jonni clinic would be more structured, therefore data retrieval will go faster and more accurate, data security administration will be increased, data redundancy will be eliminated and service performance clinic dr. Jonni will also be increased. The method of analysis includes the study of literature, examination of documentation, observation, and interviews. While in the design, the method includes application design using the waterfall method models, database design and data modeling application screens using State Transition Diagrams. The results achieved from this research is an application of data base management hospital. With database applications, all data and information can be integrated well, so that it would improve the quality of services as well as facilitate storing and accessing data. The conclusions obtained from this research is the application of data base management hospital helps in generating quick and accurate information that is used to support operations and decision-making in the clinic dr. Jonni.

Perancangan Sistem Informasi Manajemen pada Klinik Skala Kecil (Studi Kasus: Klinik Dr. Jonni) Ayuliana Ayuliana; Stanislaus Steven Wijaya; Lawrentius Siangjaya Lawunugraha; Irene Anindaputri Iswanto
ComTech: Computer, Mathematics and Engineering Applications Vol. 5 No. 2 (2014): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v5i2.2366

The purpose of this research was to develop a database application at dr. Jonni clinic which can be used for processing and recording of operational data with an attractive user interface. Through the integrated database application, data on dr. Jonni clinic would be more structured, therefore data retrieval will go faster and more accurate, data security administration will be increased, data redundancy will be eliminated and service performance clinic dr. Jonni will also be increased. The method of analysis includes the study of literature, examination of documentation, observation, and interviews. While in the design, the method includes application design using the waterfall method models, database design and data modeling application screens using State Transition Diagrams. The results achieved from this research is an application of data base management hospital. With database applications, all data and information can be integrated well, so that it would improve the quality of services as well as facilitate storing and accessing data. The conclusions obtained from this research is the application of data base management hospital helps in generating quick and accurate information that is used to support operations and decision-making in the clinic dr. Jonni.

Fruits Recognition using Deep Convolutional Neural Network for Low Computing Device Irene Anindaputri Iswanto
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 5 No. 2 (2023): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v5i2.9986

Artificial intelligence is one of the most developed fields in Computer Science where a lot of researches had been done to make the computer smarter to perform human-like task. One of the most common human-life task research that had been done is object recognition. Convolutional Neural Network is one of the most popular deep learning model to perform a good object recognition. While improving CNN model can be done by simply increasing the depth of its architecture, some researchers prove that as the CNN architecture go deeper, the accuracy will get worse. ResNet, with their residual layer, successfully lift the limitation, but ResNet by itself is too heavy for a mobile or low computing device. This paper proposes a new model which could reach the accuracy of ResNet while having faster prediction time. The proposed model and other state-of-the-art models had been trained on our own fruits and vegetables dataset. The result shows that the proposed model can reach the same accuracy as Resnet110 and overcome the accuracy of DenseNet121 while being faster than those models.

Using Various Convolutional Neural Network to Detect Pneumonia from Chest X-Ray Images: A Systematic Literature Review Darnell Kikoo; Bryan Tamin; Stephen Hardjadilaga; - Anderies; Irene Anindaputri Iswanto
JOIV : International Journal on Informatics Visualization Vol 7, No 2 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.2.1015

Pneumonia is one of the world's top causes of mortality, especially for children. Chest X-rays serve an important part in diagnosing pneumonia due to the cost-effectiveness and quick advancement of the technology. Detecting Pneumonia through Chest X-rays (CXR) is a challenging and time-consuming process requiring trained professionals. This issue has been solved by the development of automation technology which is machine learning. Moreover, Deep Learning (DL), a machine learning specification that uses an algorithm that resembles the human brain, can predict more accurately and is now dependable enough to predict pneumonia. As time passes, another Deep Learning improvement has been made to produce a new method called Transfer Learning, that is done by extracting specific layers from some pre-trained network to be used on other datasets, which reduces the training time and improves the model performance. Although numerous algorithms are already available for pneumonia identification, a comprehensive literature evaluation and clinical recommendations are still small in numbers. This research will assist practitioners in choosing some of the best procedures from the recent research, reviewing the available datasets, and comprehending the outcomes gained in this domain. The reviewed papers show that the best score for predicting pneumonia using DL from CXR was 99.4% accuracy. The exceptional techniques and results from the reviewed papers served as great references for future research.

APLIKASI LOCATION BASED SERVICE “TOLONG.IN” PADA PLATFORM ANDROID iswanto, irene anindaputri; Triwaldi, Kevin wahyu; hagata, Bosta harry; Firmansyah, Dhana
Infotech: Journal of Technology Information Vol 4, No 2 (2018): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/it.v4i2.26

Manusia diciptakan sebagai makhluk sosial, yang berarti manusia tidak dapat hidup tanpa sesamanya. Sifat makhluk sosial yang dimiliki oleh manusia ini mendorong manusia untuk memiliki sikap tolong menolong. Sikap tolong-menolong ini mengilhami masyarakat untuk menggunakannya sebagai sumber penghasilan. Namun peluang bisnis dari penawaran jasa ini kurang didukung oleh media informasi yang memadai. Tidak adanya media yang secara khusus diciptakan untuk kegiatan transaksi jasa ini membuat para penyedia jasa kesulitan dalam memasarkan jasanya. Tidak adanya media informasi ini juga menyulitkan pencari jasa untuk memperoleh informasi mengenai penyedia jasa yang mereka butuhkan. Penggunaan sosial media untuk transaksi jasa dirasa kurang aman karena tidak adanya sistem verifikasi mengenai kredibilitas sang penyedia jasa. Semakin meningkatnya teknologi smartphone semakin memberi kemudahan pada kehidupan masyarakat. Adanya teknologi GPS (Global Positioning System) membuat para developer menggunakannya untuk membuat aplikasi Location Based Service yang menggunakan informasi dari posisi user untuk menawarkan berbagai jasa. Oleh karena itu, untuk memfasilitasi para penyedia dan pencari jasa, penulis membuat aplikasi mobile location based service pada platform android yang dapat digunakan sebagai media pemasaran penyedia jasa dan informasi mengenai penyedia jasa terdekat. Aplikasi ini juga digunakan untuk memudahkan komunikasi antara pencari dan penyedia jasa, serta menjaga keamanan transaksi dengan adanya sistem pemberian rating.

Title

Found 5 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 5 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 5 Documents
Search