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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Advances in Applied Sciences Media Kesehatan Masyarakat Indonesia BERKALA FISIKA MATEMATIKA SAINS DAN MATEMATIKA JURNAL SISTEM INFORMASI BISNIS YOUNGSTER PHYSICS JOURNAL Jurnal Sistem Komputer Telematika : Jurnal Informatika dan Teknologi Informasi Speed - Sentra Penelitian Engineering dan Edukasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnas Nasional Teknologi dan Sistem Informasi Jurnal Imejing Diagnostik Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Manajemen Kesehatan Indonesia Jurnal Teknologi dan Sistem Komputer Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal Of Vocational Health Studies Jurnal Penelitian Pendidikan IPA (JPPIPA) Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Teknoinfo Journal of Physics and Its Applications Jurnal Sisfokom (Sistem Informasi dan Komputer) JURTEKSI Unnes Journal of Public Health Jurnal Komunika : Jurnal Komunikasi, Media dan Informatika JARES (Journal of Academic Research and Sciences) Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Journal of Electronics, Electromedical Engineering, and Medical Informatics Journal of Information Systems and Informatics Jurnal Teknik Elektro dan Komputasi (ELKOM) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Aisyah : Jurnal Ilmu Kesehatan Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Jurnal Multidisiplin Madani (MUDIMA) East Asian Journal of Multidisciplinary Research (EAJMR) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Makara Journal of Technology International Journal Of Health And Social Behavior
Kusworo Adi
Jurusan Fisika, Fakultas Sains Dan Matematika, Universitas Diponegoro Jl. Prof. Soedharto, SH., Tembalang, Semarang, Jawa Tengah
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IMPLEMENTASI OBJECT TRACKING UNTUK MENDETEKSI DAN MENGHITUNG JUMLAH KENDARAAN SECARA OTOMATIS MENGGUNAKAN METODE KALMAN FILTER DAN GAUSSIAN MIXTURE MODEL Havez Vazirani Al Kautsar; Kusworo Adi
Youngster Physics Journal Vol 5, No 1 (2016): Youngster Physics Journal Januari 2016
Publisher : Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro

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Abstract

Traffic density can be controlled by obtaining and managing the data of the traffic flows on the highway. Generally, the process of data acquisition of the traffic flows which passing on the highway are still done manually by assigning some officers to be on the highway and count each of passing vehicle, then divided by a certain time frame. This manual counting are still have many weaknesses such as time of collecting data become longer, and need much amount of the human resources. Based on these conditions, needs an accurate automatic vehicle detection and counting system as traffic monitors, traffic controllers and traffic analysis. At this time, it has been developed a vehicle detection system using a hardware system such as using sensors, Radio Frequency Identifier or other hardware which integrated by software in the microcontroller and works automatically to detect the speed and count the number of passing vehicles on the highway. The weaknesses of these detectors can only detect at the narrow range, design of the system, the complexity of the operation, and also has a significant operational cost. Based on those system weaknesses, this study was developed with a focus of designing the detection system and the vehicle counter system using Kalman filter and Gaussian Mixture Models (GMM) method. This system get the most accurate results in the morning (10,000-25,000 lux illumination) with F1 Score value of 0.91111, while counting the vehicles most inaccurate happen at night (illumination from 0.27 to 1.0 lux) with F1 Score only 0.16071.Keywords: Traffic flows data, vehicle counter system, Object Tracking, Gaussian Mixture Model, Kalman Filter.
KLASIFIKASI DAERAH LONGSOR BERBASIS PENGOLAHAN CITRA MENGGUNAKAN JARINGAN SYARAF TIRUAN PROPAGASI BALIK Putri Nuriskianti; Kusworo Adi; Tony Yulianto
Youngster Physics Journal Vol 4, No 2 (2015): Youngster Physics Journal April 2015
Publisher : Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro

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Abstract

Landslides are natural events that occur due to the ground movement of the earth's surface. The movement influenced by its constituent such as soil type, land use and intensity of rainfall in some place that causes a material such as ground was moving. Research on landslide done based on field surveys. The potential of a region in the category of landslides can be done by mapping parameters - parameters of landslides in the form of a calculation using the image of a network system that has been trained to predict the condition of an area.Image processing is done by segmenting color for any information presented in an image of landslides parameters. The color segmentation results performed labeling process to represent the information in the image. Then the landslides indices obtained from the manual calculation of weighting parameters. The result of the calculation is used as an instructional manual for the neural network. Where the value of the index 1 is the lowest level of landslide or safety category. While the index level 5 is the highest landslide or category of highly vulnerable to landslides. To process the data from the manual calculation in artificial neural network using backpropagation algorithm.The research data was training data and testing of tissue obtained from the manual calculation of weighting parameters landslides. Network training successfully conducted with a total accuration (index normal manual landslides and landslide index network) of 100% and accuration of test results 91,2% network. In the training data used 96 samples of data and test data as much as 34 data.Keywords: Landslide index, color segmentation, artificial neural network.
OTOMASI SISTEM DESTILASI MENGGUNAKAN PLC OMRON CP1H DAN KONTROL SUHU DENGAN KENDALI AUTO TUNING PID DALAM PENAMPIL SCADA Tito Rano Pradibto; Kusworo Adi
Youngster Physics Journal Vol 4, No 4 (2015): Youngster Physics Journal Oktober 2015
Publisher : Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro

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Abstract

Industrial world today can't be separated with the problem of automation for various production facilities, one of them is the process of distillation in industry or the oil refining industry. Distillation is the process of separating substance by boiling point, where the temperature becomes the focal point of the phase that change process so it to control of substances that aims to keep the temperature value in the range of desired values. In this study using a multilevel distillation system, so it has two set of controling temperature points. Operation of distillation system automatically works with the help of controls Service such as PLC OMRON CP1H and temperature control with auto tuning PID (Proportional Integral Derivative). The system is equipped with SCADA (Supervisory Control and Data Acquisition) and data logger so as to facilitate the operation of automation and configuration PID parameters such as proportional coefficient (Kp), the integral time (Ti), the time derivative (Td). Modeling materials processed using methanol with 64 oC boiling point and ethanol with a boiling point of 78 °C. Results of the research showed us that the temperature control system can use the auto tuning PID controled by a PLC can be done, a good temperature control is obtained with a small error rate. auto tuning method is still having oscillations, but a PID value will be automatically calculated quickly so that a constant parameter values obtained to get the stability of temperature. The value of maximum overshoot (Mp) of auto tuning of 9,09% and error steady state (ESS) of 1.53%. Results of calculation from the value of parameter auto tuning PID used as next tuning parameters and steady state response is obtained more quickly, with Mp of 4,61% and 0% of ESS.
SEGMENTASI CITRA MEDIS UNTUK PENGENALAN OBJEK KANKER MENGGUNAKAN METODE ACTIVE CONTOUR Fatkhurrazi Basyid; Kusworo Adi
Youngster Physics Journal Vol 3, No 3 (2014): Youngster Physics Journal Juli 2014
Publisher : Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro

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Abstract

Cancer diseases characterized by abnormal cell cycle, in which the body cells grow out of control (cell division beyond the normal limits) and invade nearby healthy tissue. Cancer cells are actively dividing sensitive to radiation exposure, so that cancer can be treated with a high dose of radiation that is commonly referred to radiotherapy. High-dose radiation is damaging tissue, therefore radiotherapy should be planned carefully. Dose in cancer cells should be precise and dangerous organs (organs at risk) should not receive high doses. Contouring is the process of determining the volume of cancer and other organs at risk. Research on contouring is done by developing a step-by-step algorithm that is able to localize the area detected as cancer and also borders cancer, so it is visually identifiable characteristics and forms of cancer. Active contour image segmentation methods used to separate and identify cancer cells with healthy cells. Active contour is able to recognize the limits of automatic edge, so as to know the boundary between cancer cells with healthy cells. Determination of volume and visualization of cancer is done by segmenting the image of each piece, then each piece of the image reconstruction process is carried out to obtain the volume visualization of cancer and dangerous organ in three dimensions. The results showed that the active contour segmentation method can perform image segmentation for multi-region with objects, objects that are close together but are sensitive to image noises.Keywords : cancer, radiotherapy, segmentation, active contour
KEMAMPUAN SEGMENTASI MENGGUNAKAN METODE DRLSE (DISTANCE REGULARIZED LEVEL SET EVOLUTION) TERHADAP PENGARUH DERAU Abdillah Noor Fajrin; Kusworo Adi; Choirul Anam
Youngster Physics Journal Vol 1, No 1 (2012): Youngster Physics Journal Oktober 2012
Publisher : Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro

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Abstract

Abstract DRLSE (Distance Regularized Level Set Evolution) Segmentation has been tested in this research under salt & pepper noise, gaussian and speckle influence. DRLSE uses curve fluctuations to carried segmentation. First process, image was be activated by using each noise (gaussian, speckle, and salt & pepper). Afterwards, it was be carried to segmentation under DRLSE. Image activating by distinct noise will shows us DRLSE performances under noise influences. The result show us maximal variants value of following noise as follow: in the image gourd is salt & pepper 0.002, gaussian 0.002 and speckle 0.007. image dua objek is salt & pepper 0.004, gaussian 0.0001 and speckle 0.008. Keywords :segmentation,salt & pepper, gaussian, speckle.
SISTEM IDENTIFIKASI KUALITAS DAGING SAPI DENGAN METODE PENGOLAHAN CITRA MENGGUNAKAN TELEPON SELULER DENGAN SISTEM OPERASI ANDROID Nurul Huda Prasetyo; Kusworo Adi
Youngster Physics Journal Vol 5, No 4 (2016): Youngster Physics Journal Oktober 2016
Publisher : Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro

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Abstract

Research on Beef quality identification system with image processing method using android smartphone had been carried out at Diponegoro University electronic and instrument Physics Laboratory. In this research, a segmentation algorithm extents and extent of meat and fat classification decision tree. Which can be run on smart phones with Android as the operating system. Characteristics that are used to distinguish the quality of beef (marbling score) in this study is the extent of fat,and meat. From the research that has been done can be concluded that the developed system is able to perform image acquisition and identifying beef marbling score well. The system is designed using decision tree-based classification method and the results obtained in the testing accuracy of 90% and 84% on the acquisition of training at a distance of 30 cm.
DETEKSI EFUSI PLEURA PADA CITRA THORAX MENGUNAKAN JARINGAN SYARAF TIRUAN PROPAGASI BALIK MELALUI EKSTRAKSI CIRI BINER Elvira Situmorang; Kusworo Adi; Evi Setiawati
Youngster Physics Journal Vol 3, No 4 (2014): Youngster Physics Journal Oktober 2014
Publisher : Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro

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Abstract

The research about detection pleural effusion of the thoracic using neural network back propagation by binary feature extraction has been done. A common cause of pleural effusion disease is cancer. It is estimated that pleural effusion malignant affects 150,000 people every year in the United States. The normal pleural space only has a few milliliters of liquid that helps lubricate of the lungs during breathing. Pleural effusion (large amounts of liquid in the pleural space) can lead to a partial or complete compression of the lung. The difficulty to distinguish excess accumulation of fluid in the pleural cavity should be minimized by radiologist. This research contributes interpretation pleural effusion in the thoracic and reduces doubts of doctor in the treatment of patients. The purpose of this research is to develop algorithms to identify pleural effusion using artificial neural networks back propagation by binary feature extraction the thoracic. Binary feature extraction is obtained from the level set segmentation. The process of image enhancement by histogram equalization and contrast enhancement should be performed before the level set segmentation process. Binary feature extraction patterns were training on ANN was taken from 5% until 25% of costophrenic angle in the thoracic. Neural network can recognize the characteristic patterns of the binary feature 15% are well trained. Validation ANN pattern training by up to 100%, while process of testing the ANN is able to identify 14 data from 15 test data to test validation value reaches 93.33% on the condition of  setting 2 hidden layers, each of hidden layer contain 10 neurons. Keywords: Pleural effusion, Binary feature extraction, Artificial neural networks, Histogram, level set segmentation.
Pengukuran jarak objek pejalan kaki terhadap kamera menggunakan kamera stereo terkalibrasi dengan segmentasi objek histogram of oriented gradient Tutur Urip; Kusworo Adi; Catur Edi Widodo
Youngster Physics Journal Vol 6, No 3 (2017): Youngster Physics Journal Juli 2017
Publisher : Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro

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Abstract

The distance measurement of pedestrian object to camera using a calibrated stereo camera has been investigated. The study was conducted by comparing Data-A and Data-B with different conditions and environment data interpretation. The stereo vision methods include camera calibration, image rectification, disparity counting, three-dimensional reconstruction and object segmentation. The object segmentation is performed using the Histogram of Oriented Gradient  feature to segment pedestrian object. Meanwhile, to determine the distance value is based on the information of the centroid of the bounding box segmented object.The calculations were performed using the Euclidian Distance calculation method to find the shortest distance between the centroid of the bounding box with both cameras. From the research results, the best accuracy was obtained  with measurement error of 4%. Keywords: Measurement object, pedestrian, calibrated stereo camera, Histogram of Oriented Gradient, Euclidian Distance.
PENGUKURAN DAN PENGHITUNGAN VOLUME PHANTOM DARI CITRA COMPUTED TOMOGRAPHY (CT) SCAN Riris Trima Derita Sari; Kusworo Adi; Choirul Anam
Youngster Physics Journal Vol 3, No 4 (2014): Youngster Physics Journal Oktober 2014
Publisher : Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro

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Abstract

The research has been done to the measurement and calculation of phantom volume of computed tomography (CT) Scan image. The aim of the study is to calculate the phantom volume based on CT Scan image analysis and find out the relationship between phantom volume and the variation of phantom position towards central ray. The calculation was done by using trapezoid integration method. The study used 130 kV, 93 mAs tube current, and 8 mm slice thickness. The resulting image is converted from gray scale image into a binary image. Then the surface area of the phantom was calculated. After getting the phantom surface area so that the volume of the phantom can be calculated. The calculation result shows that the phantom volume based on CT Scan image with perpendicular phantom, 30 mm to-the-left movement, 50 mm to-the-right movement towards central ray is 11160708 mm3, 11148172 mm3, and 11149136 mm3. The phantom volume based on CT Scan image with the least error percentage when phantom position is perpendicular towards central ray is 3,63%. 30 mm to-the-left and 50 mm to-the-right movement of phantom shows greater error percentage compared with perpendicular phantom towards central ray. The error percentage is from 3,74 % and 3,73 %. Phantom volume calculation is more accurate if phantom is perpendicular towards central ray. Keywords: volume, phantom, image, calculation, central ray
APLIKASI PENGOLAHAN CITRA PADA RASPBERRY PI UNTUK MEMBEDAKAN BENDA BERDASARKAN WARNA DAN BENTUK Figur Humani; Kusworo Adi; Catur Edi Widodo
Youngster Physics Journal Vol 5, No 4 (2016): Youngster Physics Journal Oktober 2016
Publisher : Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro

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Abstract

Computer technology has been developed to support problem solving in human life. Nowadays, minicomputer has been the focus of development for its practicality. The role of technology has progressed from word processing programs to digital image processing programs. Digital image processing is one of technology processing using computer vision. The role of digital image processing is a common process in industries and has been use to increase their productivity. One of those utilizations is image processing in beverage industries to detect the number of empty bottles in crates. Digital processing which supports industries has been a factor to increase productivity. The innovation in the research was utilizing minicomputer called raspberry to be integrated with image processing system and motor servo control. The result is a system to distinguish various objects based on their colors and shapes using image processing system on raspberry based on open CV and to control motor servo to classify objects. The accuracy to classify red circular objects was 92,5% , for green circular objects was 97,5% , and red rectangular objects was 97,5% by using camera resolution 480x320.
Co-Authors - Magister Sistem Informasi Universitas Diponegoro, Vincencius Gunawan S.K Abdillah Noor Fajrin Achmad Widodo Adi Pamungkas Adian Fatchur Rohim Adila Safitri Agus Atabik Anwar Agustini, Eka Puji Agvion Virsaw Alfajri, Willy Bima Andrian Bayu Suksmono Andriyan B. Suksmono Andriyan Suksmono Andriyan Suksmono, Andriyan Antono Suryo Putro Apoina Kartini Aprilia Ayu Andarinny Ardhi, Ovide Decroly Wisnu Ari Bawono Putranto Arief Rachman Aris P Widodo Aris Puji Widodo Aris Puji Widodo Aris Sugiharto Ary Setyadi Atik Zilziana Muflihati Noor Baital, Muhammad Sawal Basuki Wibowo Beta Noranita Cahya Tri Purnami Carissa Devina Usman Catur Adi Widodo Catur Edi Widodo Chakim Annubaha Choirul Anam Choirul Anam AM Diponegoro Dartini Dartini Dartini Dartini, Dartini Dedi Apriyandi Dedi Sepriana Delfia, Fila Dewi, Adinda Cipta Dian Anggraini Didi Supriyadi Dwi Ely Kurniawan Dwi Rochmayanti Dyah Apriliani Eka Vickraien Dangkua, Eka Vickraien Eko Adi Sarwoko Eko Sediono Elvira Situmorang Esa Prakasa, Esa Evi Setiawati Evita Ayu Suryaningtyas Faikhin . Faisal Rahman Fanny, Nabilatul Fardana, Nouvel Izza Farid Agushybana Farid Farid Agushybana Fatkhurrazi Basyid Figur Humani Fila Delfia Frida Fallo Gatot Murti Wibowo Gatot Murti Wibowo, Gatot Murti Hadyan Arifianto Hariri, Ahmad Harnanto, Rudy Haryati Haryati Hastuti, Dyah Dewi Havez Vazirani Al Kautsar Hendra Gunawan HENDRA GUNAWAN B11211055 Hernowo Danusaputro Ibrahim, Muhammad Rivani Imam Syafii Ircham Ali Isnain Gunadi Isnain Gunadi Jatmiko Endor Suseno Jatmiko Endro Suseno Jatmiko Endro Suseno Jayawarsa, A.A. Ketut Julianto, Dewa Rizki Rahmat Komang Budi Aryasa Laila Rahmawati Linda Nuryanti M.Irwan Katili Mailia Putri Utami Mailia Putri Utami MAIZZA NADIA PUTR Maratullatifah, Yulaikha MARTINI Martini Martini Mengko, Tati L.R. Muhammad Ikhsan Nahdi Saubari Nanang Sulaksono, Nanang Natalia Kristiani Nava Muzdalifah Nelly Mirnasari Neneng Neneng Nina Dwi Astuti Noor Azizah Nugroho Adhi Santoso Nugroho, Irwan Andriyanto Nur Hamid Nurul Firdausi Nuzula, Nurul Firdausi Nurul Huda Prasetyo Oky Dwi Nurhayati Pamungkas, Ardian Prakasa, Fawwaz Bimo Puji Widodo, Aris Purwanto Purwanto Putri Nuriskianti Qoriani Widayati R Rizal Isnanto Rachmat Gernowo Rachmatullah, Robby Rahmat Gernowo Rahmat Gernowo Rasyid Rasyid, Rasyid Retnaningsih Soeprobowati, Tri Ria Amitasari Rima Ayuning Ratri Riris Trima Derita Sari Rizky Ayomi Syifa Rr. Tony Yulianto Saiful Widianto Salsabila Naqiyah Sari, Kiki Puspita Septya Maharani, Septya Setyowati Setyowati Shahmirul Hafizullah Imanuddin Sidin Hariyanto Sifaunajah, Agus Siti A'isyah Siti Nur Endahyani Sri Bintang Pamungkas Suandari P.V.L Suryono Suryono Suseno, Jatmiko Endor Sutopo Patria Jati Tati Mengko Tati Mengko, Tati Tito Rano Pradibto Toni Wijanarko Adi Putra Tri Mulyono Tri Retnaningsih Soeprobowati Tri Sandhika Jaya Tutur Urip Undari Nurkalis Vincencius Gunawan, Vincencius Vincensius Gunawan S.K. Wahyu Setia Budi Wahyudi Setiawan Wahyuni, Wilda Waliyansyah, Rahmat Robi Weirna Yusanti Wicaksono, Januar Agung Widagdo, Krisan Aprian Willy Bima Alfajri Wisnu Ardhi, Ovide Decroly Wiwit Agus Triyanto Yuliani Setyaningsih Zaenal Arifin Zaenul Muhlisin Zainal Bachrudin