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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 Zero : Jurnal Sains, Matematika, dan Terapan JISTech (Journal of Islamic Science and Technology) JURNAL TEKNOLOGI DAN OPEN SOURCE JURNAL PENDIDIKAN TAMBUSAI 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 Health Information : Jurnal Penelitian Journal of Applied Engineering and Technological Science (JAETS) JSR : Jaringan Sistem Informasi Robotik Jatilima : Jurnal Multimedia Dan Teknologi Informasi JIKA (Jurnal Informatika) INFOKUM 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

Author-ID : 2406352

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Nursing Physics Public Health Social Sciences Other

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Disease in Corn Leafe Using Gabor Wavelet and K-Means Clustering Algorithm Mhd Furqan; Armansyah Armansyah; Nurhasanah Nurhasanah
Jurnal Mantik Vol. 5 No. 4 (2022): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

This study aims to develop a system to classify diseases that attack corn leaves. This study used four types of disease, namely: leaf blight (Helminthosporium turcicum), leaf spot (Bipolaris maydis syn), leaf rust (Puccinia polysora) and downy mildew (Peronosclerospora maydis). This study uses 52 data in the form of images. Every image is changed into vector data using Gabor wavelet filter. This study uses the K-Means Clustering method for disease grouping. The data in this study are vector data. This research process goes through the stages of preprocessing, clustering, and accuracy testing. Preprocessing includes Gabor wavelet filters to extract vector data from the original image. Clustering uses K-Means by determining the starting point manually and calculating similarity using Euclidean Distance. Independent testing of accuracy by comparing the system and manual. The highest accuracy is 98% of the 51 correct data using 52 data with 4 data cluster labels.

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

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

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%.

Application of Artificial Bee Colony Algorithm to Optimize The Shortest Route to Distribute Clean Water Pipes Mhd Furqan; Yusuf Ramadhan Nasution; Khairunnisa Khairunnisa
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 1 No. 2 (2022): June
Publisher : Yayasan Literasi Sains Indonesia

Regional Water Company Tirtanadi is a company engaged in clean water treatment and distributing clean water into the customers’ houses. The pipelines used are long and branched which causes the water volume to be divided. So, the alternative solution offered, to make sure the water distribution to each customers’ houses are efficient, is to search the shortest route using the Artificial Bee Colony algorithm. Artificial Bee Colony algorithm is a metaheuristic algorithm which has a strong global search ability and is able to solve continuous problems on determining the optimal clean water pipe route. This research’s goal is to facilitate Tirtanadi company on deciding the best installation point for the clean water distribution pipe. This research uses a dataset in the form of 8 installation points and one water treatment plant point. According to the calculation result on determining the best water pipe route using the Artificial Bee Colony algorithm obtained an optimal route which is V1→V7→V4→V9→V8→V2→V6→V3→V5. So it can be concluded that Artificial Bee Colony Algorithm is able to decided the search for clean water distribution pipes route on PDAM Tirtanadi and is able to give a good solution for searching for the shortest route.

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (384.783 KB)

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

APPLICATION OF CONTRAST LIMITED ADAPTIVE HISTOGRAM EQUALIZATION (CLAHE) AND GAUSSIAN FILTER METHODS FOR IMPROVEMENT OF IMAGE QUALITY ON CLOSED CIRCUIT TELEVISION (CCTV) Nurul Hadi Muliani Hariadi Saputra; Armansyah; Mhd Furqan
INFOKUM Vol. 10 No. 4 (2022): October, computer, information and engineering
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (327.801 KB)

The results of video recordings from CCTV cameras depend on the quality of the CCTV facilities themselves, some can capture results from dark rooms or vice versa. If the room has a lot of light, then the CCTV footage looks good, if the room lacks light, the CCTV camera results only see objects that have light, so there are some sides of the object that look dark and the results of the objects recorded are not optimal. So to minimize dark CCTV catches, It is essential to have a system that can boost the performance of CCTV, especially on CCTV screenshots. Methods that can be used to improve the quality of CCTV images are CLAHE and Gaussian Filter methods. CCTV pictures captured in low light may have their contrast stabilized using the CLAHE technique, and noise can be removed using the Gaussian Filter method. Based on the CLAHE test, it was able to increase the contrast of CCTV with clip limit histogram, and the Gaussian Filter succeeded in eliminating CCTV image noise while maintaining the quality of CCTV images from CLAHE, this is based on the MSE value which is close to 0 (zero). Keywords: Enhancement, CCTV, Imagery, CLAHE, Gaussian Filter.

Backward Chaining Method for Diagnosis Disorders of Women's Menstrual Cycle Sri Rahmadani; Mhd. Furqan; Sriani
Jurnal Mantik Vol. 6 No. 3 (2022): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i3.3109

Menstrual cycle disorders are disorders of the female reproductive system that occur when women do not care for and maintain their health. From disruption of the menstrual cycle can be a disease that is dangerous for women. The problem that occurs is that many women rarely want to check the symptoms of menstrual cycle disorders. This is due to the laziness of going to the doctor or the distance from where the doctor is and the reason for the high cost of making a diagnosis to a doctor. So we need an expert system application to diagnose the disease from menstrual symptoms. In this study, the method used is Backward Chaining, the Backward Chaining method solves every symptom that appears and continues on to the next symptom in the same rule so that a decision tree is formed. Utilization of an expert system in the application can help women to find out the diagnosis of the menstrual cycle in the form of: hypermenorrhea (menorrhagia), hypomenorrhea, polimenorrhea, oligomenorrhea, and amenorrhea. The application is able to display diseases from menstrual symptoms quickly and accurately.

Sistem Pakar Mendeteksi Kerusakan Sepeda Motor KLX 150bf Menggunakan Metode Teorema Bayes Mhd Furqan; M. Fakhriza; Prayoga Elfanda Fachmi Hasibuan
Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Vol. 6 No. 1 (2023): J-SISKO TECH EDISI JANUARI
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jsk.v6i1.7403

Total sepeda motor Kawasaki KLX 150 ini mencapai 23.463 unit. Sementara total penjualan kawasaki sendiri adalah 40.329 unit. Berdasarkan banyaknya pembeli sepeda motor KLX maka tidak jarang dijumpai pengguna yang tidak mengetahui keadaaan serta kondisi dari spedea motor KLX ini seperti adanya kerusakan yang ditemukan pada bagaian tertentu sepeda motor khususnya pada bagian mesin sepeda motor tersebut, sehingga segala jenis dari gejala yang muncul sering terabaikan dan akan membuat kerusakan yang lebih parah dari kondisi sepeda motor sebelunya. Oleh karena.hal tersebut, maka sangat dibutuhkannya suatu sistem pakar yang diharapkan dapat mengidentifikasi berbagai kerusakan dini dari segala gejala yang dialami oleh pengguna atau pemilik sepeda motor Kawasi KLX. Salah satu metode yang paling tepat dan dapat digunakan dalam penelitian ini adalah metode teorema bayes. Teorema bayes merupakan teorema yang dikemukakan dan dikenalkan oleh Thomas Bayes yang bertujuan untuk menghubungkan tingkat keyakinan yang ada (Prior) kepada keyakinan yang baru (Posterior) setelah dilakukaannya suatu observasi baru (evidence) berdasarkan fungsi keyakinan tertentu. Berdasarkan hasil penelitian dengan menggunakan metode teorema bayes, maka hasilnya akan mampu memberikan deteksi kerusakan sepeda motor KLX 150BF dengan gejala yang diinputkan sehingga memberikan solusi terbaik untuk menyelesaikan masalah yang ada.Â Â

Calligraphy Text Types Recognition Using Learning Vector Quantization Mhd Furqan; Abdul Halim Hasugian; Ziqra Addilah
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 1 No. 4 (2022): December
Publisher : Yayasan Literasi Sains Indonesia

Calligraphy is the art of beautiful writing. The term calligraphy comes from simplified English (calligraphy) taken from the Latin word "kalios" which means beautiful, and "graph" which means writing or script. The art of writing Arabic letters is called the science of khat, known as the science of Arabic calligraphy or Islamic calligraphy. There are many types and varieties of Islamic calligraphy. Each has a different form and function. There are seven types of calligraphy that are popular and known by lovers of calligraphy art in Indonesia, such as, Khat Naskhi, Tsuluts, Farisi, Riq'ah, Diwani, Diwani Jali, and Kufi. The method commonly used to identify what type of calligraphy is made is by looking directly at the shape and characteristics of the calligraphy itself (calligraphy experts). Here the author tries to create a computerized calligraphy type recognition system using the Learning Vector Quantization method. Where this method is a method that works with each unit of output representing a class. So with this system, we can recognize the type of calligraphy text computerized. The accuracy value obtained in the results of calligraphy image recognition is 75%.

DECISION SUPPORT SYSTEM FOR DETERMINING LEVELS OF CRUDE PALM OIL USING FUZZY MADM (MULTIPLE ATTRIBUTE DECISION MAKING) USING THE SAW (SIMPLE ADDTIVE WEIGHTING) METHOD Mhd Furqan; Yusuf Ramadhan Nasution; Fauzan Irsyad
ZERO: Jurnal Sains, Matematika dan Terapan Vol 6, No 2 (2022): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v6i2.14555

PT.UKINDO BLANKHAN – POM is one of many large oil palm plantations that produces crude palm oil. The quality requirements for palm oil used as a raw material in the food industry and the non-food industry are distinct. Consequently, authenticity, purity, freshness, and other aspects need to be given more thought. The crude palm oil content is still selected manually in the processing section. It is challenging to process this, and it does not completely rule out the possibility of assessment errors. Based on the assessment above, determining high-quality oil frequently presents challenges, particularly when it comes to valuing crude oil levels or aspects in accordance with quality and standards. In light of these issues, a system that can assist in determining the level and quality of raw oil is required. Consequently, developing a method for determining the content of crude palm oil using Fuzzy MultiAttributeDecision Making and Simple Additive Weighting methods. The Fuzzy MultiAttribute Decision Making methodiisiused toifind alternativesifrom a number of alternativesiwith predeterminedicriteria. Whileithe Simple Additive Weighting methodiis usedito rank theiexisting alternatives. Theiresults ofithis studylcan belused asla tooliin makingldecisions tolget a good oil content.

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 Br Rambe, Indri Gusmita Cahyadi, Bhagaskara Daulay, Ikhsan Agus Martua Elce, Furkan Fadil, Ulfi Muzayyanah Fadillah, Rini Fahrul Azis Nasution Faiza, Nayla Fakhriza, M. fandi, Fandi Ahmad Fauzan Irsyad FIKRI HAIKAL Gunawan, Irwan Harahap, Khaila Mukti Harahap, Raihan Rizieq Harahap, Rosa Linda Hasrul Hasibuan, Mhd Fikri 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 Kartikasari, Diah Putri Khairi, Nouval Khairunnisa Khairunnisa Khairunnisa, K Kurniawan, Riski Askia Lely Sahrani Lubis, Akbar Maulana M. Fakhriza Mahendra, Rifandi Maulana Ihsan, Maulana Mey Hendra Putra Sirait Mhd Ikhsan Rifki Mhd Reza Alfani Muhammad Akbar Ramadhan Tanjung Muhammad Farhan Muhammad Ikhsan Muhammad Naufal Shidqi Muhammad Ridzki Hasibuan Muhammad Rizki Munadi Munadi Nabawy, Putri Nabila, Siti Fadiyah Nasution, Afri Yunda Nasution, Irma Yunita Nasution, Zulia Lestari Ningsih, Siti Alus Nugroho, Agung Nurhasanah Nurhasanah Nurhidayati Nurhidayati Nurul Hadi Muliani Hariadi Saputra Nurzannah, Laila 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 Ramadhani, Fredy Kusuma Razzaq H. Nur Wijaya Reza Muhammad Rifnandy, Muhammad Fauzan 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 Wulandari Suhardi Suhardi Suhardi Suhardi Suhardi, S Susan Mayang Sari Syamia, Nanda Tambak, Tiara Ayu Triarta Tanjung, Tegar Haryahya Toibatur Rahma Matondang Tria Elisa Wan Fadilla Rischa Wati, Putri Kurni Widiya Yuli Kartika Siregar Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution, Yusuf Ramadhan Zabni, Nur Hera Ziqra Addilah

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