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All Journal BERKALA FISIKA JURNAL SISTEM INFORMASI BISNIS YOUNGSTER PHYSICS JOURNAL Jurnal Sains dan Teknologi Jurnal Ilmiah Kursor Jurnal Teknologi Informasi dan Ilmu Komputer Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Journal of Physics and Its Applications Journal of Information Systems and Informatics Jurnal Fisika Indonesia JINAV: Journal of Information and Visualization Jurnal Algoritma Journal of Emerging Science and Engineering Scientific Journal of Informatics
Catur Edi Widodo
Departemen Fisika, Fakultas Sains Dan Matematika, Universitas Diponegoro, Semarang
Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Library & Information Science Materials Science & Nanotechnology Mathematics Physics

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ALGORITHM A* FOR THE NEAREST ROUTE TRACKING SYSTEM IN THE MODE OF TRASNPORTATION Febri Ramanda; Eko Sediyono; Catur Edi Widodo
Jurnal Ilmiah Kursor Vol 10 No 1 (2019)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v10i1.212

Abstract

Transport as a basic services industry as the basis of national economic development, it is the foundation of a nation's progress. With increasing in the standard life society, transportation needs for the whole society have also increased. Online transportation service needs are influenced by various factors such as cost, quality of service, income and ownership that modes of transport used. The purpose of this study is to apply the A* algorithm to find paths or routes, because it is quite flexible and works better than the algorithm dijakstra in all cases (barriers and without obstacles). The results showed that the A* algorithm is able to provide the information than other algorithms that are best finding the shortest path.
ANALISIS TEKSTUR CITRA MIKROSKOPIS KANKER PARU MENGGUNAKAN METODE GRAY LEVEL CO-OCCURANCE MATRIX (GLCM) DAN TRANFORMASI WAVELET DENGAN KLASIFIKASI NAIVE BAYES Rizky Ayomi Syifa; 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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (400.166 KB)

Abstract

This research, conduct the lung cancer detection system on a microscopic image. The microscopic image used is the result from lung biopsy. If there is a cancerous tissue in the image of lung biopsy, the texture will be irregular, while the image of the normal lung biopsy will have a regular texture. The purpose of this reserach is to develope the lung cancer detection system and also to count the performance of the lung cancer detection system. The clasification process uses two methods, Gray Level Co-Occurance Matrix (GLCM) and Daubechies Wavelet Transform (db1). The Daubechies wavelet transformation is used in decomposition in level 4, while the offset of GLCM is 6. The feature extraction process is done in the transformation wavelet using the 4 subbands, approximation, horizontal Detils coefficients, vertical Detil coefficients and diagonal Detil coefficients, and the the feature extraction of GLCM uses the contrast, correlation, homogenity and energi as the parameter. The naïve bayes classification requires 2 parameter input, do a classification is 4 combination from each method of feature extraction. The result of this research is to extent the level of accuracy for the extraction of the feature extraction in 71,42% wavelet transformation method for the combination coefficients approximation-diagonal Detil coefficients and 80% accuration of GLCM method for the combination of homogeneity-correlation.
Sistem Monitoring Kendaraan Secara 3D dengan Sensor Tekanan Udara dan Global Positioning System (GPS) Berbasis Web Secara Realtime Fatkhur Rohman; Jatmiko Endro Suseno; 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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (338.358 KB)

Abstract

A research on telemetry or remote measurement has been conduced, for the parameters of the position of a moving object, ie the vehicle. Parameters such as latitude and longitude position is obtained from the GPS receiver (Global Positioning System). GPS receiver is used Ublox Noe 6 M. In addition it’s also added a altitude parameter, which is obtained by converting the changes of air pressure. Sensor BMP180 used to measure air pressure. Both of these devices are read and controlled by a microcontroller ATmega328 with the Arduino software. The GPS receiver to get latitude and longitude coordinates from the satellite. Coodinates data is sent to a microcontroller, combined with altitide data, then data sent to the database server using internet with GSM network. In this system used web interface that allows users to monitor the position of the vehicle, without necessary for special receiving station. Based on the results of validation latitude and longitude coordinates from the GPS receiver, with GARMIN GPS devices with the GPSMAP 78s series, this GPS receiver has the highest standart deviation ± 0.000006 degrees for the longitude and ± 0.000012 for latitude. The position of the vehicle in form of latitude and longitude coordinates, then illustrated on Google Maps. The results of this study, acqusition system that has been mounted on the vehicle position coordinates can transmit data to the server, and the data transmission process becomes faster and cheaper. This system will continue sends the data for vehicles that are in the area covered by the GSM network provider. Lack of this system is data transmission medium that is highly dependent on the availability of the GSM network. If the GSM network is weak, it can cause failures in data transmission.
ANALISIS CITRA CT SCAN KANKER PARU BERDASARKAN CIRI TEKSTUR GRAY LEVEL CO-OCCURRENCE MATRIX DAN CIRI MORFOLOGI MENGGUNAKAN JARINGAN SYARAF TIRUAN PROPAGASI BALIK Saitem Saitem; Kuworo 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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (524.079 KB)

Abstract

The research about analysis of CT Scan image of lung cancer based on texture feature Gray Level Cooccurrence Matrix (GLCM) and morphological using neural network back propagation has been done. Lung cancer is cancer that general occurred in the word. In 2012, 1,8 million new cases lung cancer and 1,6 million mortality because lung cancer. The research aim to analysis CT Scan image of lung cancer based on texture feature Gray Level Co-occurrence Matrix (GLCM) and morphological using artificial neural network back propagation and calculated accuracy of testing artificial neural network back propagation. This research conducts pass through stages of segmentation, feature extraction and classfication. Texture and morphological feature extraction are obtained from the thresholding segmentation. The result of feature extraction are value contrast, correlation, energy, homogeneity and area ratio then used to input in process training and testing using neural network back propagation. Process training is conducts since 4 second with number of iteration 113 iteration. In proces training from 86 train data image, 85 image is able to classified, so acurracy of training up to 98,83% and in process testing from 57 test data, 56 test data is able to classified, so test accuracy value up to 98,24%.
Prototype sistem pakar untuk penjadwalan Catur Edi Widodo
Youngster Physics Journal Vol 6, No 1 (2017): Youngster Physics Journal Januari 2017
Publisher : Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (290.172 KB)

Abstract

Scheduling is a complex problem, which requires huge resource to solve. The resources required include faculty, lecturer, classrooms, and the period of time for teaching. The solution of academic scheduling in large scale still face up so many obstacles to done manually. The college has to give a schedule in certain time when every academic activity is not crash. Scheduling is needed to anticipate crash of students hours to study and lectures time to teach. Scheduling have to fill the boundary and condition so that it convenient when it used. Under these conditions, a system is needed to set the schedule will not crash so as to improve the work of everyone. The possibility to find the best result and the implemented method approach to solve the problem is use constrain satisfaction method. Making this scheduling application is started with build table of combination from class data, room data, lecture data and time slot and followed by initiation and calculation with genetic algorithm. During the process, we generate the time and room data of each lecturer and test if crash or no crash. From the result, indicate fine schedule means there is no crash between each other and all class can be scheduled. Scheduling is optimal if all of space and time that is provided can be filled without happen crash.Keywords: scheduling, generate and test, constraint satisfaction, crash.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1047.927 KB)

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.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (256.665 KB)

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.
Rancang bangun sistem pengaturan kelembaban tanah secara real time menggunakan mikrokontroler dan diakses di web Irwan Agus Saputro; Jatmiko Endro Suseno; Catur Edi Widodo
Youngster Physics Journal Vol 6, No 1 (2017): Youngster Physics Journal Januari 2017
Publisher : Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (586.953 KB)

Abstract

A research on telemetry or remote measurement, for the parameters of soil moisture and temperature of the object remains in the form of agricultural land. The measured parameters such as soil moisture values are obtained from soil moisture sensors. In addition added also parameter value air temperature obtained by measuring the air temperature. In order to measure the air suh used sensor DS18B20. Both of the devices are read and controlled by a microcontroller ATmega328 with the Arduino software. Recipients get the value of soil moisture humidity value from the sensor. Data such as soil moisture and temperature value of the air is sent to the microcontroller, then transmitted to the database server by using the Internet network GSM. The system will be automatically watering when the soil moisture values are below standard. The system is using web interface that allows users to monitor soil conditions without the need for special receiver station. The results of this study, the system can perform the measurement values of soil moisture and air temperature to the server and perform automatic watering. This reasearch used three medium, wherein each soil moisture rises up to 99% in the first and second medium, in the third medium soil moisture rises up to 97%. The increase in the value of soil moisture caused by the automatical watering is based on parameter moisture used.Keywords: Soil Moisture Sensor, Sensor DS18B20, telemetry by GSM internet, Arduino
Pendeteksi kelelahan mata pengemudi kendaraan menggunakan metode segmentasi warna dalam ruang warna YCBCR Salsabila Naqiyah; 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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1007.65 KB)

Abstract

The progress and technology in development of transportation is increasing. However, this is also accompanied by the emergence of some undesirable negative effects such as increased number of traffic accidents. The increase in number of accidents is usually caused by various factors including human factors, vehicle factors, and environmental factors. The human factor is one of the most frequent factors causing traffic accidents. This system is designed as the manufacture of detection software for detect the condition of eyestrain in the driver of the vehicle using a camera connected to the computer as an image input device and measured performance of system develeopment. The method used in this system is to detect faces with segmentation RGB color to YCBCR color, eye detect with Roberts edge and the last method of simple logic as a classification of eye conditions. The system shows the results of classification with the highest accuracy is on video 1 of 85.40% and the lowest accuracy in video 7 is 13.67% whereas, the highest accuracy warning results on video 5 with 94.4% and the least accurate accuracy of warning with 25.26%.Keywords: YCBCR color space segmentation, eye fatigue, eye classification system
Perancangan sistem identifikasi biometrik jari tangan menggunakan Laplacian of Gaussian dan ektraksi kontur Aprilia Ayu Andarinny; Catur Edi Widodo; Kusworo Adi
Youngster Physics Journal Vol 6, No 4 (2017): Youngster Physics Journal Oktober 2017
Publisher : Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (946.426 KB)

Abstract

In this modern era, the identification system is becomes an important thing to be able to analyze a person based on the characteristics he has. In general, a person's identification system is still using conventional techniques, such as using ID cards that are easy to get off and lost passwords or PINs that are easily forgotten. In this research, the design of the system to identify or recognize a person using biometrics, especially the hand using Laplacian of Gaussian edge detection and Contour Extraction was carried out. The identification system with biometrics has many advantages because it is always attached to the body and can not be separated with humans. Stages performed in image processing in the form of RGB image conversion into binary using threshodling, edge detection using Laplacian of Gaussian as well as contour extraction using chain code representation. The result of contour extraction is the number of pixels calculated on each segment of the finger divided into 8 sections. The matching process on the system is done by using euclidean distance, ie calculate the smallest distance of similarity between the test image and the database. The result of identification conducted in this research using the feature extraction method, obtained accuracy of 93.33%.Keywords: Finger Biometrics, Laplacian of Gaussian Edge Detection, Contour Extraction
Co-Authors Agusta Rakhmat Taufani Aprilia Ayu Andarinny Arif Setiawan Budi Warsito Choirul Anam AM Diponegoro Didik Supriyadi, Didik Eko Sediyono Fatkhur Rohman Figur Humani Fitra Nur Asri, Muh H Hadiyanto Hadyan Arifianto Husen Nasrullah Armin I Gusti Bagus Wiksuana Irwan Agus Saputro Isnain Gunadi Iswanti, Arie Jatmiko Endro Suseno K. Sofjan Firdausi Kusworo Adi Kuworo Adi Labib Mustofa, Refo Labib Mustofa, Tarno Muchammad Azam, Muchammad Mustafid Mustafid Oky Dwi Nurhayati Otong Saeful Bachri R Rizal Isnanto R. Rizal Isnanto Rachmat Gernowo Rahmatika, Yuni Ramanda, Febri Retno Hapsari, Angga Ayu Rizky Ayomi Syifa Romadhon, Zainur Royani, Noorhanida Saitem Saitem Salsabila Naqiyah Sri Mulyani Tri Retnaningsih Soeprobowati Tutur Urip Ucky Pradestha Novettralita Wahyu Adi Wibowo Yulaikha Maratullatifah Zainal Bachrudin