Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Jurnal Sain Veteriner Jurnal Ilmu Komputer TELKOMNIKA (Telecommunication Computing Electronics and Control) Indonesian Journal of Electrical Engineering and Informatics (IJEEI) JUITA : Jurnal Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jiko (Jurnal Informatika dan komputer) Indonesian Journal of Electrical Engineering and Computer Science JEECS (Journal of Electrical Engineering and Computer Sciences)
Sri Hartati
Universitas Gadjah Mada
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Veterinary

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 14 Documents
Search

 1   2 
E-Referral System Modeling Using Fuzzy Multiple-Criteria Decision Making Gandung Triyono; Sri Hartati; Reza Pulungan; Lutfan Lazuardi
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i2.pp475-486

Abstract

Currently, the quality of health services in Indonesia is getting better. However, the referral system still has some problems. The first is the difficulty in determining the referral hospital by the condition of the patient. The second is the different parameters used to determine the referral hospitals between countries. Based on those problems, it is necessary to improve the ability of the current referral system. This study developed a reference system model for assessing the suitability of the patient's background with the referral hospital. Some of the methods used are restful on web service technologies for information exchange between primary health care doctors and referral hospitals, Fuzzy Multiple-Criteria Decision Making (FMCDM) to determine the ranking of referral hospitals that fit the patient's background. The result of this study is an intelligent system model to get the referral hospital that fit the patient's background.
Digital Image Based Identification of Rice Variety Using Image Processing and Neural Network Lilik Sumaryanti; Aina Musdholifah; Sri Hartati
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp182-190

Abstract

The increased of consumer concern on the originality of rice  variety and the quality of rice leads to originality certification of rice by existing institutions. Technology helps human to perform evaluations of food grains using images of objects. This study developed a system used as a tool to identify rice varieties. Identification process was performed by analyzing rice images using image processing. The analyzed features for identification consisted of six color features, four morphological features, and two texture features. Classifier used LVQ neural network algorithm. Identification results using a combination of all features gave average accuracy of 70,3% with the highest classification accuracy level of 96,6% for Mentik Wangi and the lowest classification accuracy of 30%  for Cilosari.
Determining the Priority of Transport Station Construction Site Using AHP Methods Dwi Setiyo Raharjo; Sri Hartati
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 2 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (968.99 KB) | DOI: 10.54732/jeecs.v1i2.172

Abstract

Construction of the transport station as a node connecting the major transport systems become an obligation of government to increase the pace of development and the achievement of the area. Build the station requires careful consideration and planning, especially with regard to the rate of population movements. The main concept in determining the priority of some transport station construction site available is the choice of location were deemed urgent to be carried out construction of the transport station. Determining the level of urgency and also refers to the criteria and factors supporting of several locations that have been provided to meet the needs of society in order to facilitate the flow of people. So it has been done by the government of Situbondo to the attainment of the index of people's satisfaction with government performance, the prioritization of transport station construction site developed using Analytical Hierarchy Process (AHP) as a decision support. With Analytical Hierarchy Process (AHP) to help facilitate Situbondo regency government in making the determination of development priorities based on problem solving into a hierarchical structure that contains of objectives, criteria, sub-criteria and alternatives.
Deteksi Logo Kendaraan dengan MSER-Vertical Sobel Gamma Kosala; Agus Harjoko; Sri Hartati
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 5 (2023): October 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i5.5034

Abstract

Detecting a vehicle logo is the first step before realizing the identity of the logo. However, the detection of logos can pose difficulties due to various factors, including logo variations, differing scales and orientations, background interference, varying lighting conditions, and partial obstruction. This paper presents a vehicle logo detection method using hand-crafted features. We used a combination of Maximally Stable Extremal Region (MSER) and Vertical Sobel. We combine vertical Sobel with MSER to overcome MSER's limitation in recognizing objects of different sizes. These two features are merged using a closing morphology operation to form blobs selected as logo candidate areas. Moreover, a Support Vector Machine (SVM) is implemented to choose a logo area by analyzing each candidate's Histogram of Oriented Gradient (HOG). The proposed method was compared with other methods by implementing them on the same dataset. The significant advantage of using MSER-Vertical Sobel is its fast computation time. It is faster than other approaches that use non-handcrafted features. The test results show that the MSER-Vertical Sobel can achieve high accuracy and the fastest computation time.
Co-Authors Achmad Fauzan Agus Harjoko Aina Musdholifah Dwi Setiyo Raharjo Edy Winarno Enny Itje Sela Erick Alfons Lisangan Gamma Kosala Hari Soetanto Imam Husni Al Amin Irkham Widiyono Lilik Sumaryanti Luh Arida Ayu Rahning Putri Lutfan Lazuardi MHD. Reza M.I. Pulungan Munakhir Mudjosemedi Munazat Salmin Prajanto Wahyu Adi Retantyo Wardoyo Retyanto Wardoyo Rini Widayanti Samekto Wibowo Sedarmanto Indarjulianto Slamet Raharjo Slamet Raharjo Tri Wahyu Supardi Triyono, Gandung