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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

Author-ID : 2383697

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Veterinary

Published : 14 Documents Claim Missing Document

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Articles

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Feature Selection of the Combination of Porous Trabecular with Anthropometric Features for Osteoporosis Screening Enny Itje Sela; Sri Hartati; Agus Harjoko; Retantyo Wardoyo; Munakhir Mudjosemedi
International Journal of Electrical and Computer Engineering (IJECE) Vol 5, No 1: February 2015
Publisher : Institute of Advanced Engineering and Science

This study aims to select the important features from the combination of porous trabecular pattern with anthropometric features for osteoporosis screening. The study sample has their bone mineral density (BMD) measured at the proximal femur/lumbar spine using dual-energy X-ray absorptiometry (DXA). Morphological porous features such as porosity, the size of porous, and the orientation of porous are obtained from each dental radiograph using digital image processing. The anthropometric features considered are age, height, weight, and body mass index (BMI). Decision tree (J.48 method) is used to evaluate the accuracy of morphological porous and anthropometric features for selection data. The study shows that the most important feature is age and the considered features for osteoporosis screening are porosity, vertical pore, and oblique pore. The decision tree has considerably high accuracy, sensitivity, and specificity.

The Digital Microscope and Its Image Processing Utility Sri Hartati; Agus Harjoko; Tri Wahyu Supardi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 9, No 3: December 2011
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v9i3.749

Many institutions, including high schools, own a large number of analog or ordinary microscopes. These microscopes are used to observe small objects. Unfortunately, object observations on the ordinary microscope require precision and visual acuity of the user. This paper discusses the development of a high-resolution digital microscope from an analog microscope, including the image processing utility, which allows the digital microscope users to capture, store and process the digital images of the object being observed. The proposed microscope is constructed from hardware components that can be easily found in Indonesia. The image processing software is capable of performing brightness adjustment, contrast enhancement, histogram equalization, scaling and cropping. The proposed digital microscope has a maximum magnification of 1600x, and image resolution can be varied from 320x240 pixels up to 2592x1944 pixels. The microscope was tested with various objects with a variety of magnification, and image processing was carried out on the image of the object. The results showed that the digital microscope and its image processing system were capable of enhancing the observed object and other operations in accordance with the user need. The digital microscope has eliminated the need for direct observation by human eye as with the traditional microscope.

Face Recognition based on CNN 2D-3D Reconstruction using Shape and Texture Vectors Combining Edy Winarno; Imam Husni Al Amin; Sri Hartati; Prajanto Wahyu Adi
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 8, No 2: June 2020
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v8i2.1369

This study proposes a face recognition model using a combination of shape and texture vectors that are used to produce new face images on 2D-3D reconstruction images. The reconstruction process to produce 3D face images is carried out using the convolutional neural network (CNN) method on 2D face images. Merging shapes and textures vector is used to produce correlation points on new face images that have similarities to the initial image used. Principal Component Analysis (PCA) is used as a feature extraction method, for the classification method we use the Mahalanobis method. The results of the tests can produce a better recognition rate compared to face recognition testing using 2D images.

Text to Speech untuk Bahasa Arab Menggunakan Perangkaian Diphone Achmad Fauzan; Sri Hartati
JUITA : Jurnal Informatika JUITA Vol. 6 Nomor 1, Mei 2018
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Bahasa Arab merupakan salah satu bahasa yang banyak digunakan di dunia. Di Indonesia yang mayoritas penduduknya beragama Islam, bahasa Arab digunakan sebagai bagian dalam mempelajari Al-Qur’an yang menggunakan tulisan berbahasa Arab. Namun berdasarkan data BPS tahun 2015, sebanyak 54 persen muslim di Indonesia masih buta aksara Al Qur’an/bahasa Arab.Penelitian ini bertujuan merancang dan menyusun sistem text to speech yang dapat membangkitkan suara pengucapan untuk teks masukan berbahasa Arab. Pada proses normalisasi teks masukan, karakter ilegal dihilangkan dan karakter angka diubah ke dalam bentuk penulisan pelafalannya. Ketentuan pengucapan dasar diperoleh menggunakan pendekatan berbasis aturan. Aturan-aturan yang diterapkan adalah hukum bacaan nun sukun dan tanwin, vokal rangkap, bacaan panjang (madd), tanwin, tasydid, ta marbutah, dan sukun. Identifikasi hukum bacaan nun sukun dan tanwin dilakukan dengan menerapkan konsep mesin mealy yang merupakan pengembangan dari finite state automata. Proses pembangkitan suara diawali dengan membuat kode diphone dari rangkaian fonem hasil modul text to phoneme. Kode-kode diphone digunakan untuk memanggil dan merangkai file-file suara diphone yang telah direkam. Keluaran yang dihasilkan berupa sebuah file suara.Pengujian dilakukan dengan melibatkan 13 responden yang memahami ilmu tajwid. Pada pengujian menggunakan teks masukan hukum bacaan idghaam bilaagunnah, idghaam bighunnah, iqlab, ikhfa’ adna, ta marbutah, dan sukun, 100% responden menilai suara yang dihasilkan sudah tepat. Sedangkan dengan teks masukan hukum bacaan idzhaar, responden yang menilai suara dihasilkan sudah tepat mencapai 92%. Persentase lebih rendah terdapat pada hukum bacaan vokal rangkap (diftong), ikhfa’ ausath, tasydid, ikhfa’ aqrab, dan bacaan panjang (madd) yang masing-masing memperoleh 81%, 77%, 73%, 69%, dan 65%. Kata kunci – text to speech, bahasa Arab, perangkaian diphone, finite state automata.

Studi Gambaran Histopatologis Hepar, Pulmo, Lien dan Otak serta Uji Serologis pada Tikus (Rattus norvegicus) yang diinfeksi Toxoplasma gondii Sri Hartati; Slamet Raharjo; Irkham Widiyono
Jurnal Sain Veteriner Vol 35, No 1 (2017): Juni
Publisher : Fakultas Kedokteran Hewan Universitas Gadjah Mada bekerjasama dengan PB PDHI

Toxoplasmosis is a parasitic disease caused by the intracellular obligate parasite of Toxoplasma gondii. Toxoplasma gondii (T. gondii) causes severe infections in infants or children who are congenitally infected and immunocompromised individuals. Rats are one source of natural transmission of toxoplasmosis in cats and cats will release oosysts with feces that will contaminate the environment that can be a source of transmission for other animals and humans. This study aims to determine the histopathological features of hepatic, pulmo, lienand cerebellum organ and serological tests in mice infected with T. gondii. Twenty rats of Wistar strains infected T. gondii strain RH stadium takizoit (107). On days 1, 3, 5, 7 and 15 post infection, mice were drawn blood forserological tests using commercial kit PastorexTM Toxo (Biorad, France). After the blood is taken, the rats are dietanized for liver organ samples, pulmo, lien and brain for histopathologic examination. The results showed thatserologic test was positive after the 5th postoperative day. The histopathologic results of day 1 postinfection appear to be takizoit T. gondii in the liver and brain. The formation of takizoit in the pulmo appears on the 7th day postinfection.

PERBANDINGAN GAMBARAN DARAH ULAR SANCA BATIK (Malayophyton reticulatus) LOKAL JAWA DAN KALIMANTAN Slamet Raharjo; Sri Hartati; Sedarmanto Indarjulianto; Rini Widayanti
Jurnal Sain Veteriner Vol 37, No 1 (2019): Juni
Publisher : Fakultas Kedokteran Hewan Universitas Gadjah Mada bekerjasama dengan PB PDHI

Reticulated python (M. reticulatus) Java and Kalimantan locality highly demand as pet animal. Blood profile has an important role on animal health status. This research was aim to study the blood profile comparison of Java and Kalimantan M. reticulatus. Ten blood samples of Java M. reticulatus and 10 samples of Kalimantan M. reticulatus were used in this study. As much as 1 ml blood sample was collected from ventral coccygeal vein of adult healthy M. reticulatus. Blood sample put into tube with EDTA then analized at Internal Department Laboratory, Faculty of Veterinary Medicine UGM. Based on blood samples analize results, adult healthy Java M. reticulatus shows the higher value on parameters of erytrocyte, leucocyte, PCV, MCH, heterophyl, limphocyte and monocyte, while haemoglobin, TPP, MCV, MCHC, azurofil and monosit were lower than Kalimantan M. reticulatus. There were no significant differences (P>0,05) between blood profile of Java and Kalimantan M. reticulatus. It could be concluded that blood profile of Java and Kalimantan M. reticulatus is not different.

Klasifikasi Genre Musik Menggunakan Learning Vector Quantization dan Self Organizing Map Luh Arida Ayu Rahning Putri; Sri Hartati
Jurnal Ilmu Komputer Vol 9 No 1: April 2016
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1058.661 KB)

Kemudahan dalam memperoleh file musik digital dapat menimbulkan permasalahan dalam pengelolaannya. Klasifikasi genre musik dapat membantu memberikan label genre pada file musik sehingga dapat mempermudah pengelolaan dan pencarian file musik. Permasalahan utama dalam klasifikasi genre musik adalah menemukan kombinasi fitur dan classifier yang dapat memberikan hasil terbaik dalam mengklasifikasi file musik ke dalam genre musiknya.Penelitian ini mengklasifikasi file musik menggunakan kombinasi Learning Vector Quantization (LVQ) dan Self Organizing Map (SOM) berdasarkan pada fitur entropi koefisien wavelet. Kombinasi LVQ dan SOM terletak pada inisialisasi vektor acuan pada jaringan LVQ yang ditentukan berdasarkan hasil clustering data pelatihan menggunakan SOM. Ini diharapkan dapat mengurangi sensitivitas pemilihan vektor acuan yang dipilih langsung dari data pelatihan.Hasil evaluasi menunjukkan bahwa klasifikasi genre musik menggunakan kombinasi LVQ dan SOM memberikan hasil yang lebih baik dibandingkan dengan menggunakan LVQ saja, namun rata-rata nilai akurasinya masih rendah. Fitur entropi kurang baik dalam mengklasifikasi 10 jenis genre musik, ini ditunjukkan ketika klasifikasi dilakukan menggunakan fitur yang sama namun dengan classifier yang berbeda, akurasi yang dihasilkan juga rendah.

Case Based Reasoning untuk Diagnosis Penyakit Infeksi Saluran Pernapasan Akut Munazat Salmin; Sri Hartati
JIKO (Jurnal Informatika dan Komputer) Vol 1, No 1 (2018)
Publisher : Journal Of Informatics and Computer

Salah satu sitem komputerisasi yang sangat berkembang pada abad ini adalah sistem Case Based Reasoning (CBR) dimana sistem ini dapat menyelesaikan kasus baru berdasarkan pengalaman atau kasus sebelumnya. CBR memberikan solusi berdasarkan tingkat kemiripan kasus lama dengan kasus baru. Sistem yang dibangun dalam penelitian ini adalah sistem CBR untuk melakukan diagnosis penyakit ISPA dengan menggunakan metode minkowski distance sebagai perhitungan similaritas. Perhitungan akurasi pada penelitian ini menggunakan K-fold cross validation dengan menggunakan k=5 dan k=7. Pengujian dengan k=5, hasil terbaik yaitu threshold ≥ 60% dengan akurasinya 99,29% sedangkan yang terendah menggunakan threshold ≥ 80% dengan nilai akurasinya adalah 88,57%. Pengujian dengan k=7, hasil terbaik yaitu threshold ≥ 60% dengan akurasinya 99,29%, sedangkan yang terendah menggunakan threshold ≥ 80% dengan nilai akurasinya adalah 89,29%.

Hypertension Drug Suitability Evaluation Based On Patient Condition with Improved Profile Matching Hari Soetanto; Sri Hartati; Retyanto Wardoyo; Samekto Wibowo
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.pp453-461

The accuracy of the type or dosage of drugs by doctors is important. The types and doses of medicines given by the doctors should match the illness suffered by the patient as well as consider the patient's health condition. In hypertension disease, the error rate of drug dosage by medical personnel is quite high, reaching 34%. Meanwhile, the administration of the type and dosage of drugs appropriate to the patient's condition required the knowledge of high medical personnel and experienced medical personnel. In this research, we developed the model of drug suitability evaluation with hypertension patient's health condition using Profile Matching method. The proposed model evaluates the patient's health condition based on the parameters provided by the expert and produces recommendations on the type of drug. To optimize the Profile Matching method, in this research we applied interpolation weighting method which calculates the proximity level of the patient profile with drug profile more accurately. Based on the experiment, the proposed model has an accuracy value of 87%, precision 87.11% and recall of 85.44%. It proves that the proposed method can provide recommendations on the right type of hypertension medication. Also, the interpolation weighting method is proven to increase the accuracy.

Two Level Clustering for Quality Improvement using Fuzzy Subtractive Clustering and Self-Organizing Map Erick Alfons Lisangan; Aina Musdholifah; Sri Hartati
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i2.pp373-380

Recently, clustering algorithms combined conventional methods and artificial intelligence. FSC-SOM is designed to handle the problem of SOM, such as defining the number of clusters and initial value of neuron weights. FSC find the number of clusters and the cluster centers which become the parameter of SOM. FSC-SOM is expected to improve the quality of FSC since the determination of the cluster centers are processed twice i.e. searching for data with high density at FSC then updating the cluster centers at SOM. FSC-SOM was tested using 10 datasets that is measured with F-Measure, entropy, Silhouette Index, and Dunn Index. The result showed that FSC-SOM can improve the cluster center of FSC with SOM in order to obtain the better quality of clustering results. The clustering result of FSC-SOM is better than or equal to the clustering result of FSC that proven by the value of external and internal validity measurement.

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

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