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All Journal JURNAL SISTEM INFORMASI BISNIS Techno.Com: Jurnal Teknologi Informasi Scientific Journal of Informatics CESS (Journal of Computer Engineering, System and Science) Sinkron : Jurnal dan Penelitian Teknik Informatika JISTech (Journal of Islamic Science and Technology) JURNAL TEKNOLOGI DAN OPEN SOURCE JURNAL PENDIDIKAN TAMBUSAI Jurnal Nasional Komputasi dan Teknologi Informasi J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Mantik JISKa (Jurnal Informatika Sunan Kalijaga) Technologia: Jurnal Ilmiah Jurnal Ilmu Komputer dan Bisnis Health Information : Jurnal Penelitian Journal of Applied Engineering and Technological Science (JAETS) JSR : Jaringan Sistem Informasi Robotik Jatilima : Jurnal Multimedia Dan Teknologi Informasi Journal of Computer System and Informatics (JoSYC) JIKA (Jurnal Informatika) INFOKUM Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) El-Qist : Journal of Islamic Economics and Business (JIEB) Journal of Computer Networks, Architecture and High Performance Computing Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) IJISTECH Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Walisongo Journal of Information Technology Syntax: Journal of Software Engineering, Computer Science and Information Technology Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Instal : Jurnal Komputer Jurnal Teknisi J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Mandiri IT Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer JOMLAI: Journal of Machine Learning and Artificial Intelligence Data Sciences Indonesia (DSI) Internet of Things and Artificial Intelligence Journal Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Mhd Furqan
Universitas Islam Negeri Sumatera Utara
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Other

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Journal : INFOKUM

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APPLICATION OF SPEED UP ROBUST FEATURES (SURF) AND FEATURES FROM ACCELERATED SEGMENT TEST (FAST) FOR INTRODUCTION OF PLACE Mhd. Furqan; Rakhmat Kurniawan; Mey Hendra Putra Sirait
INFOKUM Vol. 9 No. 1,Desember (2020): Data Mining, Image Processing,artificial intelligence, networking
Publisher : Sean Institute

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Abstract

With the current technology that is starting to develop rapidly, it can match an image with another image. In recognizing an image, there needs to be a process that will be carried out in image matching, but current image matching is still comparing pixels between two images. To compare between images, the color and resolution and shape of the image pixels affect the recognition results in an image. Therefore, to deal with this problem, the algorithms that can be used in the work process of this program are the Speed ​​Up Robust Features (SURF) algorithm and Features from Accelerated Segment Test (FAST). FAST is a method for determining the angle that is in an image while the SURF algorithm can describe the features that exist in an image so that image matching no longer matches between pixels but based on the descriptors that have been generated and the matched results will be listed on the database, using the SURF algorithm , there is no need to worry about the resolution, color, and shape of the image to be matched. Tests that were carried out were still successful with a precision value of 0.9, which means that the value of successful matching is 9% and with a recall value of 100% and a value that has reached 100% means that the number of points is similar to the number of points that have been matched
DIGITAL IMAGE ENHANCEMENT USING THE METHOD OF MULTISCALE RETINEX AND MEDIAN FILTER Mhd Furqan; Abdul Halim Hasugian; Rizqi Hidayat Tanjung
INFOKUM Vol. 9 No. 1,Desember (2020): Data Mining, Image Processing,artificial intelligence, networking
Publisher : Sean Institute

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Abstract

At this time digital image used by a lot of people to capture the moment or other important things, digital image itself is the result of shooting with a digital camera, although today's digital cameras are already equipped with features that support the results of the picture, but not all digital image that is produced in accordance with our wishes, it happens because of a problem on the quality of the image, situation and condition at the time of the shooting process the image will affect on the quality of the image causes the image results to be bright or dark. Then from that needed improvement of the quality of the image so that the image that is produced in accordance with our wishes, in this study, the methods used in improving the quality of image is using the method of Multiscale Retinex and Median Filters. The process of Multiscale Retinex will produce the image of a more bright compared to the original image that minimal light intensity, while the Median filter will produce a clearer image because it can reduce the noise/noise in the image, the parameters used in this study is Histogram of some data that has been researched histogram chart shows the value of the intensity of the pixel average is close to zero (0) after processed by the method of Multiscale Retinex and the Median Fiter value of the intensity of the pixel average show a change of the charts is approaching 250 which indicates an increase in the brightness of the digital image brighter.
APPLICATION OF SMART ENVIRONMENT WITH FUZZY LOGIC METHOD BASED ON INTERNET OF THINGS Mhd Furqan; Rakhmat Kurniawan R; Ahmad Fauzi
INFOKUM Vol. 9 No. 1,Desember (2020): Data Mining, Image Processing,artificial intelligence, networking
Publisher : Sean Institute

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Abstract

In Indonesia, air pollution is a very concern, many risks are resulting from air pollution, including the risk of blood cancer. But many people are not aware of this as a result, many are affected by respiratory infections, asthma, and lung cancer due to air pollution. Along with technological developments, a new concept emerged, namely the Internet of things, from the development of the Internet of Things, which resulted in many discoveries, one of which was the Smart Environment. With Smart Environment we can monitor the quality level of an environment, one of which is air quality. The amount of information related to air pollution is the reason for the author to make a tool that uses the Nodemcu microcontroller-based MQ7 sensor which is expected to help reduce the risk generated from air pollution, especially carbon monoxide (CO). This tool also applies the concept of the internet of things so that the results of sensor readings can be monitored online from anywhere and anytime in realtime. There is a classification of air pollution levels in this tool including healthy air, unhealthy air, and dangerous air, healthy air is in the value range 0-100 PPM, unhealthy air is in the value range of 100-200 PPM, and dangerous air is in the value range> 200 PPM. Fuzzy logic was chosen as the method in this research because this method is suitable for most real-time problems such as making decisions to determine the level of air pollution that is uncertain and changing. The results of the MQ7 sensor detection of carbon monoxide are monitored through the Indonesian-made Internet of Things platform, Antares.id.
Decision Support System Decision Support System To Determine Sports Interest and Talent Using the Bayes Method Mhd Furqan; Yusuf Ramadhan Nasution; Fahrul Azis Nasution
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The identification of talent interests has been developed and its benefits have been felt in producing athletes who can excel at the national and international levels. Decision support system can be chosen because it is an appropriate way to determine interest and talent in sports, basically the concept of a decision support system is limited to activities to help assess a decision. In this study, using the Bayes method with this method requires probability information on each alternative to the problems faced to produce an expected value as a basis for decision making. The trial of calculations using the Bayes method on 50 samples of students who were successfully tested, namely 18 students with interests and talents in soccer, 13 gifted students in volleyball, 9 gifted students in badminton, 6 students who are gifted in sports. basketball, 4 gifted students in table tennis. In the application of the decision support system to determine interests and sports talents has been successfully made and running well to assist and facilitate the decision-making process of sports interests and talents.
Application Of Security System Of Motorcycle Used Fingerprint Optical Sensor And Vibration Sensor With Fuzzy Logic Based On Arduino Uno R3 Mhd Furqan; Muhammad Ikhsan; Abdul Halim Hasugian; Muhammad Ridzki Hasibuan
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The Increasing case of motorcycle theft in North Sumatera and lack of human control of safety locks is an important factor for every motorcycle owner to ad dual security system. The research aimed to add double protection of the motorcycle by utilizing the advantages of the Fingerprint sensor plus a vibrating sensor SW-420 and IR Proximity sensor which is controlled by a microcontroller with fuzzy logic as process logic. The fuzzy logic used to produce the output of motorcycle condition which is silent, shifted by early is the alarm if there are the other individuals who try ignite or move the motorcycle position. The microcontroller is used to control relay based on verification results from Fingerprint optical sensor FPM10A module as well as do the process of fuzzy logic at vibrating sensor SW-420 module and IR Proximity sensor then it will produce the alarm output is sound. These protection system tools can increase the safety of the motorcycle owner.
Digital Image Security System Using Spritz Algorithm Mhd Furqan; Rakhmat Kurniawan; Abdul Halim Hasugian; Imam Zaki Husein Nst
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Private and confidential digital imagery is particularly vulnerable to eavesdropping by irresponsible parties. Especially when distributed through the internet network such as on facebook chat-based applications, whatsapp and e-mail media. The image sent is sometimes often an image that is confidential and must be maintained security. In order to maintain the security of digital imagery can be done with the use of cryptographic techniques. Cryptographic techniques can secure digital images by changing the pixel values of the digital image so as to produce pixel values that are different from the original image to be secured. The research will use the Spritz algorithm for encryption and decryption of digital images in image security applications. The result of the Spritz Algorithm's encryption results in pixel values that are much different from the original pixel values. So that the image of encryption is more secure to be distributed through intermediary media.
Noise Reduction Using Gaussian, Mean, And Median Filter To Improve Ultrasonography Image Quality Mhd. Furqan nasution; Sriani; Ilham Fuadi Nasution
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Ultrasound images are captured using high-frequency sound waves to create images with dark and bright spots throughout the subject. In this case, the resulting image will look blurry and some blobs will cause less information on the image. Degraded image quality due to noise. Noise can be caused by physical interference in the acquisition tool or by deliberate mishandling. Due to these problems, there is a need for a system that can enhance ultrasound images by minimizing existing noise. However, many methods have been developed to perform image enhancement by removing noise, which makes one method confusing with which method to use. Therefore, in this study, different methods for removing noise in ultrasound images, such as Gaussian filtering, mean and median, were compared to determine which method is better. The comparison of the three methods is based on PSNR and MSE values. Applied research results show that the median filtering method outperforms Gaussian and Mean methods in reducing noise in USG images to 60%.
Implementation Of Sugeno Fuzzy Logic Method On Microcontroller Based On Tomato Sorter Mhd Furqan; Rakhmat Kurniawan; Abdul Halim Hasugian; Siti Sumita Harahap
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

As it is well known that tomatoes have different qualities and colors of ripeness, it is very necessary for a farmer to sort the tomatoes because then the farmers can target the marketing of tomatoes among the market, supermarkets, etc. Sorting tomatoes manually requires good concentration so as not to cause sorting errors, but sometimes concentration can be reduced due to sitting too long, etc., so that sorting occurs at will without paying attention to the tomatoes and this can also take a long time. To overcome this problem is to offer the manufacture of a tomato fruit sorter automatically by applying the Sugeno fuzzy logic method, which is a cryptic method which means that a value can be between true and false. With this tool can overcome the problem of sorting tomatoes and can minimize time. This Sugeno fuzzy logic method is used and utilized in processing the value of tomatoes in the form of RGB values. The result of this research is a tool that is able to sort tomatoes according to conditions, namely ripe, half-ripe, and unripe.
Edge Detection To Detect Broken Bone On X-Ray Images Using Kirsch Method Mhd Furqan; Rakhmat Kurniawan; Abdul Halim Hasugian; Reza Muhammad
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Bone is the most important part of the human body and not a few people who have broken bones caused by accidents, neglect and because of age. One of the methods used to identify broken bones is to read the x-ray images manually. Manual checking takes longer and allows mistakes in making decisions when doing a manual check. What's more in reading an x-ray image requires a strong background light (as lighting) to make objects in the X-ray image appear clearer, so we need a method that can facilitate the orthopedic doctor in identifying broken bones. The method proposed in this study is edge detection using the kirsch method. Edge detection aims to improve the appearance of margins, boundaries or objects in the image. The Kirsch method will detect the edges of the eight cardinal directions, namely east, northeast, north, west, northwest, southwest, south and southeast, by convoluting the image using eight kernels. From the results of testing with these methods each cardinal direction has different results. In this study the best results from the eight cardinal directions are the southeast.
PROTOTYPE ROAD GUIDE TOOL FOR BLIND PEOPLE BASED ON FUZZY LOGIC Mhd. Furqan; Rakhmat Kurniawan; Siti Sarah Harahap
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

One of the physical limitations that exist in humans is blindness. Because it is difficult to see, they need tools to help them carry out their daily activities. A tool is needed to help guide them in walking activities. A walking guide tool for blind people based on fuzzy logic is one solution to help them in walking activities. By using a microcontroller as a controller of the ultrasonic sensor, buzzer, DC motor, and water sensor. The ultrasonic sensor is used to read the objects in front of the tool and provide this information to the microcontroller. The data sent by the sensor to the microcontroller will be processed and send sound information (buzzer) and vibrations (DC motor) when the ultrasonic sensor detects an object with a predetermined distance to the visual impaired. This guide tool for visually impaired persons uses fuzzy logic as a control system, by applying the fuzzy logic method to the blind aids to be able to provide logic output to the objects it detects at a predetermined distance range. Based on the results of research, a guide tool for blind people with fuzzy logic for the success rate in detecting objects on sensor 1 is 96.82%, while the success rate for sensor 2 is 97.97%. Keywords: Visual Aids, Microcontroller, Fuzzy Logic
Co-Authors Abdul Aziz Abdul Halim Hasugian Adha, Rifki Mahsyaf Agpina, Pipi Ahmad Fakhri Ab. Nasir Ahmad Fauzi Aidil Halim Lubis Aisyah Nurrahmah Siregar Akmal, Muhammad Haikal Anwar, Mufti Husain Apriansyah, Yuda Ardyanti, Tiwy Armansyah Armansyah Armansyah Armansyah Armansyah Armansyah Armansyah, A Aulia, Atiqah Aulia, Muhammad Arief Aulia, Muhammad Fathir Aulia, Rafif Risdi Badria, Lailatul Bagus Ageng Alfahri Br Rambe, Indri Gusmita Cahyadi, Bhagaskara Daulay, Ikhsan Agus Martua Diah Putri Kartikasari Elce, Furkan Fadil, Ulfi Muzayyanah Fadillah, Rini Fahrul Azis Nasution Faiza, Nayla Fakhriza, M. fandi, Fandi Ahmad FIKRI HAIKAL Gunawan, Irwan Harahap, Khaila Mukti Harahap, Raihan Rizieq Harahap, Rosa Linda Hasrul Hasibuan, Mhd Fikri Heri Santoso Himawan Hasibuan, Riswanda Ichsan HP, Kiki Iranda Hsb, Dinda Umami Hsb, Munawir Siddik Hutagalung, Muhammad Wandisyah R Ilham Fuadi Nasution Imam Zaki Husein Nst Iskandar, Rozai Ismail Pulungan Januar, Bagus juwita sari K Khairunnisa Khairi, Nouval Khairunnisa Khairunnisa Khairunnisa, K Kurniawan, Riski Askia Lely Sahrani Lubis, Akbar Maulana M. Fakhriza Mahendra, Rifandi Matondang, Toibatur Rahma Maulana Ihsan, Maulana Mey Hendra Putra Sirait Mhd Ikhsan Rifki Mhd Reza Alfani Muhammad Akbar Ramadhan Tanjung Muhammad Farhan Muhammad Ikhsan Muhammad Luthfi Muhammad Naufal Shidqi Muhammad Ridzki Hasibuan Muhammad Rizki Munadi Munadi Nabawy, Putri Nabila, Siti Fadiyah Nasution, Afri Yunda Nasution, Irma Yunita Nasution, Romaito Nasution, Zulia Lestari Ningsih, Siti Alus Novrianty, Amanda Nugroho, Agung Nur Bainatun Nisa Nurhasanah Nurhasanah Nurhidayati Nurhidayati Nurul Hadi Muliani Hariadi Saputra Nurzannah, Laila Pane, Putri Pratiwi Pangestu, Dimas Panggabean, Alwi Andika Pratama, Haris Prayoga Elfanda Fachmi Hasibuan Prayogi, Ahmad Pulungan, Miftahul Rizky Putra, Suan Ekie Nanda Putri, Alma Irawanti Raissa Amanda Putri Rakhmat Kurniawan R Ramadani, Wily Supi Ramadhan Nasution, Yusuf Ramadhani, Fredy Kusuma Razzaq H. Nur Wijaya Reza Muhammad Rifnandy, Muhammad Fauzan Rivaldi Prima Nanda Rizka Rizki Ananda Rizki Siregar, Awal Rizqi Hidayat Tanjung RR. Ella Evrita Hestiandari Saparuddin Siregar Saputri Nasution, Intan Widya Sembiring, Yogasurya Pranantha Shafa, Dafa Ikhwanu Sinaga, Meri Siregar, Dzilhulaifa Siregar, Hervilla Amanda R. Siregar, Kalfida Eka Wati Sitepu, Anggi Jelita Siti Saniah Siti Sarah Harahap Siti Sumita Harahap Sitorus, Nur Shafwa Aulia Solly Aryza Sri Rahmadani Sri Wahyuni Sriani Sriani Sriani Sriani Sriani, S Suci Syahputri Suci Wulandari Suhardi, S Suhardi, Suhardi Susan Mayang Sari Syamia, Nanda Tambak, Tiara Ayu Triarta Tanjung, Tegar Haryahya Tria Elisa Wan Fadilla Rischa Wati, Putri Kurni Widiya Yuli Kartika Siregar Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution, Yusuf Ramadhan Zabni, Nur Hera Zahra Humaira Kudadiri Ziqra Addilah