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PENENTUAN TINGKAT BUTA WARNA DENGAN METODE SEGMENTASI RUANG WARNA FUZZY DAN RULE-BASED FORWARD CHAINING PADA CITRA ISHIHARA Nur Hamid; Kusworo Adi
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

Color blindness is a condition in which a person can not distinguish certain wave light that can be distinguished by the normal eyes. Tests are currently being used (Ishihara Test and the Farnsworth Munsell) are simple. But, both of them have weakness in the form of test media used and requires appropriate room.       In this study, applies image processing to the development of color blindness level determination. Image processing is done by segmenting the pattern first with fuzzy color space segmentation. Having obtained the pattern of Ishihara image is used, then recombined with the initial image, so that the image obtained Ishihara with a segmented pattern. If the patient is able to see the pattern which is purposed, then continued to another image. However, if the patient can not see the pattern, then the pattern will be increased intensity of red, green and blue. By using a rule-based forward chaining, the determination of color blindness level is determined by the rules of the increase in the intensity of red, green and blue.          The research data is algorithm testing data which is created toward patients. Successful testing is done with total validation (normal patients and color deficiency) 97.8% and validation for diagnosted patients testing contained 85.7% of color deficiency. In the proposed algorithm is also used for the determination of the boundary wavelength capable of being viewed by people with color blindness.               Keywords: color blindness level, color segmentation, enhancements of color intensity
RANCANG BANGUN SISTEM PENGHITUNG PENGGUNAAN AIR PRABAYAR MENGGUNAKAN MIKROKONTROLER PIC16F877A Faisal Rahman; 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

The water recording that still uses manual system has many shortcomings, including error recording by officer, inaccurate of water meter reading, so that many customers feel disadvantaged. The purpose of the research is to make water usage system that can minimalize Mistakes done by the Officers by making prepaid payment system. The water flowed ON flowmeter will rotate the rotor so that it can result clock that becomes input for PIC16F877A to be displayed ON LCD. The number of clock will be characterized with the amount of water that was released so it obtains equation. The equation is put on Program so LCD Output is the amount of water flowed ON flowmeter. The result from Flowmeter characterization is 0.999. The flowmeter test is done by comparing it with standard tools, it obtains correlation coefficient 0,996 with 1,3 % error and test cost is 0.05 %.
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

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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
APLIKASI METODE OTSU UNTUK IDENTIFIKASI BAKTERI TUBERKULOSIS SECARA OTOMATIS Nelly Mirnasari; Kusworo Adi
Youngster Physics Journal Vol 2, No 2 (2013): Youngster Physics Journal April 2013
Publisher : Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro

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Abstract

Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis. In this research, Ziehl-Neelsen sputum image is used to identify TB bacteria. Image segmentation process is done by using Otsu auto-thresholding to split object from its background in the ZN-stain sputum sample image. Morphology operation is done toward the splitting result to obtain the value of compactness, metric, and eccentricity of each object in the image which later will be used as input for the Adaptive Neuro-Fuzzy Inference System (ANFIS) to be classified. Result of the research show that segmentation using Otsu method is capable to properly split the object expected as bacteria from its background. The network testing show that ANFIS architecture with gbellmf as membership function type will work properly if it has 2 MFs on each input with epoch of 40. Keywords: Tuberculosis, Ziehl-Neelsen (ZN) Stain, Otsu method, auto-thresholding, fuzzy, ANFIS.
RANCANG BANGUN SISTEM TOKEN PULSA PENGGUNAAN AIR PRA-BAYAR METODE ENKRIPSI TRANSPOSISI DAN DEKRIPSI ALJABAR BOOLEAN Rima Ayuning Ratri; 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

Water supply company is currently still using analog counter system to determine the volume of water that has been used by customer. After officers did manually recording then customer make a payment according  the volume of water used. This system raises many problems include, payment arrears, the recording of water  unsuitable and customers can’t to arranged the water. So, we needs a system that can to overcome it all. Water counters prepaid system uses token that contains important information such as the customer's ID, date of purchase and nominal credit tokens. To maintain secrecy and make disposable token, cryptographic process carried out by the method of transposition. To use the token decryption process is done by microcontroller PIC16F877. Decryption process performed by implementing the Boolean Algebra.  Results from this research are created of water counters prepaid system by using a token and has  100% success rate. Water counter prepaid system are expected to reduces cheating  on analog water counter and customers can arrange the water needs.Keywords: Water prepaid system, Token, Cryptographic, Transposition, PIC16F877A.
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

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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
Simulator input-output sistem kontrol menggunakan Raspberry Pi Zainal Bachrudin; Catur Edi Widodo; Kusworo Adi
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

In this research has been made I / O simulator which is a tool to simulate input and output of a control system using Raspberry Pi. Raspberry Pi has 26 GPIO (General Purpose Input and Output) pins that can be used to control inputs and outputs on the I / O simulator. The 26 GPIO pins are divided into two main systems, is 13 GPIO pins that are odd numbered as inputs and 13 other GPIO pins which are even numbered as outputs. The Raspberry Pi GPIO pins are ordered as inputs and outputs using Python programming languages. The command is done by reading the switch as input signal input, then Raspberry Pi process the input signal and send data as output signal with LED flame on the I / O Simulator. The I / O simulator can simulate logic gates, as AND, OR, NOT, and ADD, and can run mini distillation plant.Keywords: Simulation, Input-Output, Raspberry Pi, Python
PEMBUATAN PROGRAM REKONSTRUKSI KONTUR CITRA 3D PADA ORGAN MENGGUNAKAN MATLAB 2008a Siti A'isyah; Kusworo Adi; Choirul Anam
Youngster Physics Journal Vol 2, No 4 (2013): Youngster Physics Journal Oktober 2013
Publisher : Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro

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Abstract

Program of contour  Reconstruction of 3D imaging at organ has been done. To determine the tumor volume by creating a 3D contour Planning Target Volume (PTV) and organs at risk in head for each image slice. Determination of 3D PTV contour begins with contouring, featuring contour, contour editing and showing PTV and organs at risk in 3D. So that a more accurate determination of radiotherapy dose and the organ at risk dose does not exceed a given tolerance. 3D contour reconstruction algorithm can be displayed on each slice so organ at risk boundary and Planning Target Volume (PTV) that used to radiotherapy treatment can be seen.Keywords: radiotherapy, treatment planning system (TPS), Planning Target Volume (PTV).
RANCANG BANGUN ALAT DETEKSI WARNA UNTUK MEMBANTU PENDERITA BUTA WARNA BERBASIS MIKROKONTROLER AVR ATMEGA16 Saiful Widianto; Kusworo Adi; Hernowo Danusaputro
Youngster Physics Journal Vol 2, No 3 (2013): Youngster Physics Journal Juli 2013
Publisher : Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro

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Abstract

Primary colour detection system made by using colour censor for aquisition and controlled by microcontroller AVR ATMega16 to grouping into various colour. This system consists of hardware likely IC ISD 2590, LCD M1632, Mini microphone, Mini speaker, and Microcontroler AVR ATMega16. Softwere in microcontroler use language C with softwere C Avr and detection result display displayeds in lcd M1632.Primary colour detection system uses colour censor TCS3200 the tension product result linear and calibrated with ingredient colour frequency. primary colour detection system uses colour censor TCS3200 the tension product result linear and calibrated with ingredient colour frequency. Ingredient colour detection that measuresed based on value RGB use push button as electric switch on-off to light led white as white iight source, and colour censor TCS3200 functioned to get light to reflection from ingredient that hitted light. in display lcd be got measurable frequency value magnitude as according to value Red Green Blue (RGB), and sound wave is taked by mini speaker that come from system IC ISD2590 all integrations with mikrokontroler AVR ATMega16.Keyword : Microcontroler AVR ATMega16, IC ISD2590, LCD M1632, Colour Censor TCS3200
IDENTIFIKASI JENIS JERAWAT DENGAN WAVELET HAAR DAN JARINGAN SYARAF TIRUAN PROPAGASI BALIK Nava Muzdalifah; 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

Acne is one of the most common diseases that often occur in adolescence. Acne is caused by several factors, namely genetic, hormonal, stress, Propionibacterium acnes microorganisms, environmental, and cosmetics. The existence of these factors can cause many types of acne, such as blackheads, whiteheads, papules, pustules, and nodules. Various efforts that have been done to resolve the problem of identifying the types of acne still has some flaws that required identification system type of acne that is cheap, effective, efficient, and accurate. Innovation identification of the type of acne is designed with the help of digital microscope camera, and a computer model in which applications are developed is based on wavelet transform and neural networks to identify types of acne automatically. Results of a system can identify the type of acne automatically using wavelet transform with the decomposition at level 3 and the coefficients is horizontal and backpropagation neural network with a network architecture that consists of various layers are input layer, hidden layer and output layer. Accuracy of identification the system is 84,6% with instructional time by 8 seconds. Identified the type of acnes are blackheads, cysts, nodules, papules, pustules and whiteheads. The range accuracy for acnes identification on the network is 72% until 92%. The best pixel resolution is 8 MP.
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