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All Journal Techno.Com: Jurnal Teknologi Informasi Zero : Jurnal Sains, Matematika, dan Terapan JISTech (Journal of Islamic Science and Technology) J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) Jurnal Mantik JISKa (Jurnal Informatika Sunan Kalijaga) Technologia: Jurnal Ilmiah Health Information : Jurnal Penelitian JSR : Jaringan Sistem Informasi Robotik INFOKUM Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) IJISTECH Walisongo Journal of Information Technology Syntax: Journal of Software Engineering, Computer Science and Information Technology Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD J-SAKTI (Jurnal Sains Komputer dan Informatika) JOMLAI: Journal of Machine Learning and Artificial Intelligence
Mhd Furqan
Universitas Islam Negeri Sumatera Utara
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Metode High-Pass Filter Dan Fast Fourier Transform Untuk Perbaikan Citra Telapak Tangan Mhd Furqan; - Sriani; Muhammad Akbar Ramadhan Tanjung
Techno.Com Vol 20, No 4 (2021): November 2021
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/tc.v20i4.5262

Abstract

Telapak tangan sering digunakan sebagai sumber penelitian dibidang sistem biometrik karena mempunyai karakteristik seperti sidik jari. Selain itu, telapak tangan juga mudah didapatkan dan dapat diperoleh dari citra yang memiliki resolusi rendah. Namun, selain itu juga sebuah citra telapak tangan akan dapat mengalami penurunan terhadap kualitasnya. Untuk itu dilakukanlah sebuah tahap yang dikenal dengan perbaikan kualitas citra, dimana bidang ini merupakan tahap awal dari pengolahan citra digital. Dalam penelitian ini penggunaan metode dalam perbaikan citra difokuskan untuk menajamkan citra telapak tangan dengan menggunakan high pass filter dan filter fast fourier transform, dimana sebelumnya citra tersebut telah diolah dengan menggunakan histogram ekualisasi untuk meningkatkan kontras citra telapak tangan. Setelah dilakukan pengujian terhadap 30 sampel citra. Dengan menilai error pada MSE (Mean Square Error) dan PSNR (Peak Signal to Noise Ratio) dari citra hasil rekonstruksi, hasil pengujian menunjukkan bahwa penggunaan high pass filter dengan koefisien=1 menghasilkan citra yang lebih baik dimana nilai rata-rata MSE=7,064544(dB) dan PSNR=40,01314(dB) daripada menggunakan high-pass filter dengan koefisien=0. Sedangkan pada fast fourier transform dengan menggunakan Ideal High-Pass Filter (IHPF) mampu menghasilkan citra rekonstruksi yang lebih baik dengan rerata MSE=9,354056(dB) dan PSNR=38,537046(dB) dari pada menggunakan butterworth high-pass filter (BHPF) dan gaussian high-pass filter (GHPF)
Analisis Sentimen Menggunakan K-Nearest Neighbor Terhadap New Normal Masa Covid-19 Di Indonesia Mhd Furqan; Sriani Sriani; Susan Mayang Sari
Techno.Com Vol 21, No 1 (2022): Februari 2022
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/tc.v21i1.5446

Abstract

New normal diterapkan oleh pemerintah untuk mengembalikan masyarakat beraktivitas normal ditengah pandemi covid-19 dengan protokol kesehatan. Penerapan new normal menuai beragam komentar dari masyarakat dan masuk kedalam topik terpopuler di media sosial twitter. Analisis sentimen untuk memprediksi komentar ataupun opini masyarakat yang kecenderungan beropini positif maupun negatif. Preprocessing data menggunakan cleaning, case folding, normalisasi, stemming,  filtering, dan tokenizing. Pada normalisasi kata bertujuan memperbaiki kesalahan penulisan kata (typo) berdasarkan KBBI  dan TF-IDF sebagai metode pembobotan kata. Data yang digunakan terdiri dari 1000 tweet. Metode klasifikasi opini menggunakan metode K-Nearest Neighbor dan melakukan pengujian agar mendapatkan hasil akurasi yang paling terbaik serta mengevaluasi menggunakan confusion matrix. Hasil dari pelabelan untuk sentimen positif berjumlah 811 dan 189 untuk sentimen negatif. Klasifikasi K-NN dengan nilai k = 1 menghasilkan pengujian use training set dengan accuracy sebesar 100%, 92,60% untuk 10-fold cross-validation dan 94,50% untuk 80% percentage split.
Diagnosis of Victims of Bullying Behaviour Using Bayes Method Abdul Halim Hasugian; Mhd. Furqan; K Khairunnisa
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v3i2.61

Abstract

Victims of bullying behavior in the first high school students are still going on and unresolved. Victims of bullying behavior that is not easily visible to the naked eye and the lack of knowledge about bullying are problems in resolving the problem. This research is to create an expert system that can diagnose victims of bullying behavior based on the symptoms suffered by the victims of bullying to address the problems faced during this time. The Bayes method describes the relationship between the probability of A with event B has occurred. The probability of event B on the condition of event A has occurred. The occurrence of an event based on the influence gained from the observation result, Like bullying symptoms that occur in victims of bullying behavior, the Bayes method will calculate the probability and generated types of bullying experienced by students based on the knowledge that is in the can of an expert and made into an application.
Application of the Steepest Ascent Hill Climbing (SAHC) Algorithm for Mobile-based Shortest Route Search Mhd Furqan; A Armansyah; Razzaq H. Nur Wijaya
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v4i1.88

Abstract

This study aims at early to determine the application of algorithms Steepest Ascent Hill Climbing (SAHC) for finding the shortest route-based Mobile in Humbang Hasundutan. Based on the results of the application of algorithms Steepest Ascent Hill Climbing (Sahc) To search based Shortest These Mobile in Humbang Hasundutan. So it can be concluded that the search for the shortest route based on Mobile can be solved using the Steepest Ascent Hill Climbing algorithm. In the manual calculation process using the Steepest Ascent Hill Climbing algorithm at the node from Humbang, there is a heuristic value of 0.0896184808, at the node from which the three intersections are originated there is a heuristic value of 0.1693780561, at the node from which there is a heuristic value of 0.367474152, at the node from which the waterfall falls sibabo has a heuristic value of 0.3823982675. Then the result of the shortest route from Sipinsur Geosite (F) to Simolap Waterfall (B) is F èD èB (Sipinsur GeoSite - intersection 4 - Simolap Waterfall) the total distance is 51 km and the time is 1 hour 34 minutes. So that the test results of the Steepest Ascent Hill Climbing algorithm process with the system in accordance with the manual calculation process of the Steepest Ascent Hill Climbing algorithm.
Classification of Tomato Leaf Based on Gabor Filter Extraction And Support Vector Machine Algorithm Mhd. Furqan; A Armansyah; Lely Sahrani
IJISTECH (International Journal of Information System and Technology) Vol 4, No 2 (2021): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v4i2.173

Abstract

Tomato production in Indonesia is reduced because tomato leaves are stricken with disease. The main disease that often attacks tomato leaves is rotten leaves and bacterial patches or commonly called dry patches. Identification of tomato leaf disease is still done manually with human vision. The shortcomings of the method manually required a technology that is able to extract the texture of tomato leaf disease. One of them is by the process of extracting the texture of leaves with gabor filters, namely by using frequency and orientation parameters. Based on the results of the experiment obtained that the input parameter gabor filter with orientation of 90o with a combination of frequency 4 produces a fairly clear contrast. The process of extracting the texture of the leaf aims to get the magnitude value of the tomato leaf that will be used as inputs for the classification process. The svm algorithm grouped data that had the same characteristics into one class. Training data used 42 images and test data used 30 images, with the success rate of 83.33%.
Aplikasi Mobile Media Pembelajaran Dasar Algoritma dan Pemrograman Berbasis Android Yusuf Ramadhan Nasution; Mhd Furqan
Syntax : Journal of Software Engineering, Computer Science and Information Technology Vol 1, No 1 (2020): Juni 2020
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/syntax.v1i1.791

Abstract

This research is a type of development research. The product development model adopts a software development model consisting of (1) Analysis of software requirements, (2) design, (3) writing code and (4) testing. Data collection techniques are done by observation, interviews and questionnaires. The testing phase is carried out with product validation by experts, testing on the first user (lecturer) and testing on the end user (student).Keywords : Learning Media, Mobile Applications, Algorithms and Programming.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (802.08 KB)

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (858.952 KB)

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (540.31 KB)

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (397.66 KB)

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.
Co-Authors Abdul Halim Hasugian Ahmad Fauzi Aisyah Nurrahmah Siregar Armansyah Armansyah Atiqah Aulia Fahrul Azis Nasution Fauzan Irsyad Hasugian, Abdul Halim Ilham Fuadi Nasution Imam Zaki Husein Nst K Khairunnisa Khairunnisa Khairunnisa La Ode Muh Munadi Lely Sahrani M. Fakhriza Mey Hendra Putra Sirait Muhammad Akbar Ramadhan Tanjung Muhammad Ikhsan Muhammad Naufal Shidqi Muhammad Ridzki Hasibuan Nurhasanah Nurhasanah Pipi Agpina Prayoga Elfanda Fachmi Hasibuan Rakhmat Kurniawan R Razzaq H. Nur Wijaya Rini Fadillah Rizki Ananda Rizqi Hidayat Tanjung Siti Sarah Harahap Sri Rahmadani Sriani Sriani Susan Mayang Sari Tria Elisa Wan Fadilla Rischa Yuli Kartika Siregar Yusuf Ramadhan Nasution Ziqra Addilah