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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Majalah Forum Teknik UGM Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Transmisi: Jurnal Ilmiah Teknik Elektro Jurnal Pendidikan Sains IPTEK Journal of Proceedings Series Proceedings of KNASTIK Perfecting a Video Game with Game Metrics Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Teknik Elektro Prosiding SNATIF Seminar Nasional Informatika (SEMNASIF) ELINVO (Electronics, Informatics, and Vocational Education) Semesta Teknika Al-Mabsut: Jurnal Studi Islam dan Sosial Jurnal Ilmiah KOMPUTASI Journal of Electrical Technology UMY Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Paradigma Emerging Science Journal Communications in Science and Technology JUTEI (Jurnal Terapan Teknologi Informasi) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) IJITEE (International Journal of Information Technology and Electrical Engineering) Prosiding Seminar Nasional Program Pengabdian Masyarakat Jurnal Nasional Teknik Elektro dan Teknologi Informasi Journal FORTEI-JEERI Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Jurnal INFOTEL
Indah Soesanti
Department Of Electrical Engineering And Information Technology, Faculty Of Engineering, Universitas Gadjah Mada
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Library & Information Science Mechanical Engineering Medicine & Pharmacology Social Sciences Other

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Analisis Kinerja Metode Fuzzy Teroptimasi PSO untuk Strategi Kendali MPPT pada Sistem Solar Photovoltaic Soesanti, Indah; Syahputra, Ramadoni
Jurnal Teknik Elektro Vol 13, No 2 (2021): Jurnal Teknik Elektro
Publisher : Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v13i2.33477

Abstract

A fuzzy control system has been widely used in various problem solving. Its performance can be optimized using particle swarm optimization (PSO). This performance can be proven by applying it to the maximum power point tracking (MPPT) control strategy on solar photovoltaic systems. Solar photovoltaic power generation systems are increasingly popular because they are clean and renewable energy sources. The power generated by solar photovoltaic is strongly influenced by solar irradiation and the load carried. In order to obtain maximum power output, an MPPT control strategy is needed. An MPPT control strategy based on fuzzy and PSO hybrid control systems is proposed in this research. The fuzzy-PSO method selects and produces the optimal duty cycle for the boost dc-dc converter in a solar photovoltaic system. Variable duty cycle due to solar irradiation and load changes can be conditioned by the fuzzy-PSO-based MPPT method to extract maximum power. The research results show that the fuzzy-PSO method can control the solar photovoltaic output voltage through a dc-dc converter to produce maximum power at various solar irradiations. Test result by applying a resistive load produces output power at the maximum point. The best result is obtained in the 100 Ohm load test: the response time of 0.0818 seconds and excellent robustness.
Wavelet Based Feature Extraction for The Indonesian CV Syllables Sound Domy Kristomo; Risanuri Hidayat; Indah Soesanti
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 3: June 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i3.5014

Abstract

This paper proposes the combined methods of Wavelet Transform (WT) and Euclidean Distance (ED) to estimate the expected value of the possibly feature vector of Indonesian syllables. This research aims to find the best properties in effectiveness and efficiency on performing feature extraction of each syllable sound to be applied in the speech recognition systems. This proposed approach which is the state-of-the-art of the previous study consist of three main phase. In the first phase, the speech signal is segmented and normalized. In the second phase, the signal is transformed into frequency domain by using the WT. In the third phase, to estimate the expected feature vector, the ED algorithm is used. Th e result shows the list of features of each syllables can be used for the next research, and some recommendations on the most effective and efficient WT to be used in performing syllable sound recognition.
A statistical approach on pulmonary tuberculosis detection system based on X-ray image Ratnasari Nur Rohmah; Bana Handaga; Nurokhim Nurokhim; Indah Soesanti
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 3: June 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i3.10546

Abstract

This paper presented the research result on the design of pulmonary TB (Tuberculosis) detection systems using a statistical approach. The study aimed to address two problems in detecting pulmonary TB by doctors, especially in remote areas of Indonesia, namely the long waiting time for patients to get the doctor's diagnosis and the doctor's subjectivity. We used hundreds of X-ray images from radiology department of Sardjito Hospital, Yogyakarta, as primary data and thirty data from various sources on the internet as secondary data. Using statistical approach, we exploited statistical image feature from image histogram, examined two statistical methods of PCA and LDA transformation for feature extraction, and two minimum distance classifier in image classification. We also used histogram equalization in the image enhancement process and bicubic interpolation in image segmentation and template making. Test results on primary and secondary data images show the identification accuracy of 94% and 83.3%, respectively.
EKSTRAKSI CIRI CITRA DIGITAL X-RAY PARU DIAGNOSIS TUBERKULOSIS BERBASIS METODE STATISTIS Yudhi Agussationo; Indah Soesanti; Warsun Najib
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2015
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Abstract — Ekstraksi ciri merupakan bagian yang sangatpenting dalam menggali ciri suatu citra digital x-ray parudiagnosis tuberkulosis. Untuk membedakan citra digital x-rayparu diagnosis tuberkulosis (normal dan abnormal) diperlukanpencarian ciri citra menggunakan metode ekstraksi ciri. Olehkarena itu, pada paper ini diterapkan sebuah metode ekstraksiciri pada citra digital x-ray paru diagnosis tuberkulosismenggunakan pendekatan statistis, yaitu dengan menghitungnilai mean, variance, entropi, skewness, dan kurtosis. Data citrayang digunakan sebanyak 78 data dengan 19 citra normal dan 59citra abnormal. Diperoleh rentang nilai ciri citra digital x-rayparu diagnosis tuberkulosis normal yaitu mean : 127.429 -127.630, variance : 2.026 - 2.204, entropi : 0.799 - 0.811, skewness: 1.239 - 1.506, dan kurtosis : 2.654 - 3.747. sedangkan citra x-rayparu diagnosis tuberkulosis abnormal yaitu mean : 127.150 -127.726, variance : 2.025 - 2.354, entropi : 0.779 - 0.811, skewness: 1.232 - 2.010, dan kurtosis : 2.616 - 4.104. Hasil yang diperolehmenunjukkan nilai mean citra digital x-ray paru diagnosistuberkulosis normal lebih besar dibanding citra digital x-rayparu diagnosis tuberkulosis abnormal. Kisaran nilai kurtosissebagian besar berada pada distribusi leptokurtic dengan nilai >3.Keywords — ekstraksi ciri, citra digital x-ray paru, statistis,mean, variance, entropi, skewness, kurtosis
Distribution Network Optimization with Scattered Generator Integration Using Immune-Clonal Selection Method Ramadoni Syahputra; Indah Soesanti
Emerging Science Journal Vol 5, No 6 (2021): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01312

Abstract

This paper proposes distribution network optimization with scattered generator integration using the immune-clonal selection (ICS) method. Nowadays, the high popularity of scattered generators (SG) has made distribution networks essential to manage appropriately. This interest is because SG is usually injected into the distribution network due to the ease of accessing the network and the voltage level of the distribution network, which is easier for SG to reach. However, the presence of SG as a distribution network is increasingly dynamic, so that appropriate techniques are needed to achieve adequate network performance through network optimization. The ICS method is expected to be the right solution for this task. The ICS technique was chosen for its excellence in accurately optimizing for multi-objectives while avoiding premature convergence to local minima. The ICS approach was applied to IEEE model distribution networks of 33-bus and 71-bus. The optimization results show that the effectiveness and superiority of the ICS method, which is indicated by shallow power losses with a better voltage profile, and the load balance on each feeder is maintained. Doi: 10.28991/esj-2021-01312 Full Text: PDF
ANALISIS EKSTRAKSI CIRI SINYAL EMG MENGGUNAKAN WAVELET DISCRETE TRANSFORM Ikhwan Mustiadi; Thomas Sri Widodo; Indah Soesanti
Seminar Nasional Informatika (SEMNASIF) Vol 1, No 3 (2012): Intelligent System dan Application
Publisher : Jurusan Teknik Informatika

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Abstract

Sinyal Electromyograph (EMG) adalah salah satu sinyal biomedis yang sangat penting untuk mengetahui aktivitas kontraksi otot, hal ini sangat penting dilakukan karena banyak kelainan aktivitas otot yang terjadi. Pada penelitian ini dilakukan analisis sinyal menggunakan Discrete Wavelet Transfoerm (DWT) jenis Symlet level 8 dengan filter-filter yang dapat menganalisa sinyal EMG sehingga komponen-komponen sinyalnya dapat diketahui sebagai sesuatu yang unik untuk setiap sinyal yang di analisis, dengan 3 sinyal yang berbeda yaitu sinyal EMG Normal, Myopathy dan Neuropathy, dapat ditemukan sesuatu yang unik untuk setiap sinyal tersebut dengan mengukur daya sinyal dan menormalisasinya, pada sinyal normal, daya sinyal maksimum adalah pada koefisien aproksimasinya, pada sinyal EMG Myopathi adala pada koefisien detail 3 dan pada sinyal EMG Neuropathy adalah pada keofisien detail 2.
Evaluasi Nilai Noise Sebelum Dan Sesudah Kalibrasi Sebagai Salah Satu Wujud Kinerja Pesawat CT-Scan Andrey Nino Kurniawan Nino Kurniawan; Indah Soesanti Soesanti
Forum Teknik Vol 33, No 3 (2010)
Publisher : Faculty of Engineering, Universitas Gadjah Mada

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Abstract

The noise has to be measured daily because it directly degrades image quality, which inturn it is dificult to define between normal and pathological tissues on a-CT image. Thisresearch’s aim was performed to examine noise differences between before and aftercalibrating of the CT-scanner system, and also to study the chance of noise deviated values day-by-day during 20 days of the two different periods of measurement.A callibrated head water phantom was scanned before and after equipment callibrations,using the head scanning parameter, and device measurement at ROI 228.2 mm2 to obtain thenoise data. Descriptive statistics was employed to present related information, and the T-testpaired-sample was the statistical tool to test the null hypothese (Ho) with level of significance(α) 0.05.The results showed most of noise values between before and after equipment calibrationsfall arround the base line or within two standard deviation (2SD). In before callibration of thenoise, the base line noise value is 4.76 HU whereas the upper limit and the lower limmit of thenoise values are 5.34 HU and 4.18 HU (respectively) with a-1.16 HU difference. In aftercallibration of the noise, the base line noise value is 4.35 HU whereas the upper limit and thelower limmit of the noise values are 5.29 HU and 3.41 HU with a-1.87 HU difference. However,there are two out of fourty noise values (± 5%) that fall outside of the 2SD limmit if a numberfalls outside of 2SD from the base line in the same direction (i.e., all high or all low) more thanfour days in a row, it is a shift that could be due to a machine malfunction and should beinvestigated before the outer control limit is exceeded. Statistical analyses with paired- sampleT-test showed p-value (0.005) < 0.05. By this meaning that, the noise between before and afterCT-Scanner callibrations are different in their values additonally most of the noise values aftercallibration seem to be low compared with that of the values before callibrations.Keywords: CT scan, evaluation, noise.
Pengaruh Parameter Number Of Excitation (NEX) Terhadap SNR Dwi Rochmayanti; Thomas Sri Widodo; Indah Soesanti
Forum Teknik Vol 33, No 3 (2010)
Publisher : Faculty of Engineering, Universitas Gadjah Mada

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Abstract

This research aims to observe the influence of Number of Excitation (NEX) to bothparameters the Signal to Noise Ratio (SNR) and the scanning time when performing the MRneck . Some MR scan parameters (TR, TE, FOV, slice thickness, matrix, flip angle andbandwidth) are strictly under controlled. All SNR data, due to the 6 NEX variations (NEX 1 toNEX 6), are required by comparing the ROI’s intensity between the noise background and theareas of corpus and spinal cord on the images. The scan times are also recorded for each of theNEX variations being observed. In conclusion, increasing NEX values will simultaneously risethe SNR and the scanning time.Keywords : NEX, SNR, Image MRI, Scan time
Analisis Komputasi pada Segmentasi Citra Medis Adaptif Berbasis Logika Fuzzy Teroptimasi Indah Soesanti; Adhi Susanto; Thomas Sri Widodo; Maesadji Tjokronegoro
Forum Teknik Vol 33, No 2 (2010)
Publisher : Faculty of Engineering, Universitas Gadjah Mada

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Abstract

Abstract The objective of this research is to analyze the computation of medical image adaptive segmentation based on optimized fuzzy logic. The success of the image analysis system depends on the quality of the segmentation. The image segmentation is separating the image into regions that are meaningful for a given purpose. In this research, the Fuzzy C-Means (FCM) algorithm with spatial information is presented to segment Magnetic Resonance Imaging (MRI) medical images. The FCM clustering utilizes the distance between pixels and cluster centers in the spectral domain to compute the membership function. The pixels of an object in image are highly correlated, and this spatial information is an important characteristic that can be used to aid their labeling. This scheme greatly reduces the effect of noise. The FCM method successfully classifies the brain MRI images into five clusters. This technique is therefore a powerful method in computation for noisy image segmentation. Keywords: computation analysis, MRI Medical image, adaptive image segmentation, fuzzy c-means
Ekstraksi Ciri dan Identifikasi Citra Otak MRI Berbasis Eigenbrain Image Indah Soesanti; Adhi Susanto; Thomas Sri Widodo; Maesadji Tjokronagoro
Forum Teknik Vol 34, No 1 (2011)
Publisher : Faculty of Engineering, Universitas Gadjah Mada

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Abstract

In this research, we exctract and identify MRI brain images based on eigbrain image.  MRI barain images are used to be input for feature exctraction and identitication. Feature exctraction is done by using the eigbrain image. For all reference image, we find image mean and eigbrain image, and the results are stored. If there is test image, we will find the nearest distance of eigenbrain between test image and reference images. The feature extraction is used to identify the image is whether the normal brain image or the brain image with tumor.The results show that the method successfully classifies MRI images into tree clusters: normal,  glioma, and metastase. The input test images can be identified accurately 100% for image  sizes from 256 x 256 pixels to 64 x 64 pixels.Keywords : feature extraction, image identification, MRI medical image, eigenbrain image.
Co-Authors Adha Imam Cahyadi Adhi Soesanto, Adhi Adhi Susanto Adhistya Erna Permanasari Afrisal, Hadha Agus Jamal Andrey Nino Kurniawan Andrey Nino Kurniawan Nino Kurniawan Andrey Nino Kurniawan, Andrey Nino Anna Nur Nazilah Chamim Arief Rachma Wibowo Bambang Sutopo Bana Handaga Beta Estri Adiana Cepi Ramdani Chamim, Anna Nur Nazilah Christianus Frederick Hotama Danny Kurnianto Danny Kurnianto Dewi Purnamasar Diah Priyawati Domy Kristomo Dwi Rochmayanti Dwi Rochmayanti Dwi Rochmayanti Eka Firmansyah Enas Dhuhri Kusuma Faaris Mujaahid Fathania Firwan Firdaus Fikri Zaini Baridwan Hanifah Rahmi Fajrin Hanung Adi Nugroho Hanung Adi Nugroho Hedi Purwanto Hendriyawan A., M. S. Henry Sulistyo Hidayatul Fitri Husnul Rahmawati Sakinnah I Made Agus Wirahadi Putra Ikhwan Mustiadi Indriana Hidayah Isbadi Urifan Karisma Trinanda Putra, Karisma Trinanda Krisna Nuresa Qodri Litasari Litasari Litasari M. S. Hendriyawan A. Maesadji Tjokronagoro Maesadji Tjokronagoro Maesadji Tjokronegoro Meirista Wulandari Muhamad Yusvin Mustar Muhammad Arzanul Manhar Muhammad Rausan Fikri Noor Akhmad Setiawan Nurokhim Nurokhim Oki Iwan Pambudi Oyas Wahyunggoro Paulus Tofan Rapiyanta Pipit Utami Ramadoni Syahputra Ratnasari Nur Rohmah Risanuri Hidayat Rudy Hartanto Sekar Sari Soesanto, Adhi Sulistyo, Henry Sunu Wibirama Syahfitra, Febrian Dhimas Thomas Sri Widodo Thomas Sri Widodo Thomas Sri Widodo Thomas Sri Widodo Tole Sutikno Warsun Najib Widhia KZ Oktoeberza Widyawan Widyawan Widyawati Prima, Widyawati Wijaya, Nur Hudha Wijaya, Nur Hudha Wiyagi, Rama Okta Yudhi Agussationo Yudhi Agussationo Yundari, Yundari