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All Journal Jurnal Sarjana Teknik Informatika Jurnal Transformatika Jurnal Informatika dan Teknik Elektro Terapan InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal Teknologi dan Sistem Komputer Jurnal Pengabdian UntukMu NegeRI JIKO (Jurnal Informatika dan Komputer) Insect (Informatics and Security) : Jurnal Teknik Informatika Indonesian Journal of Information System Dinamisia: Jurnal Pengabdian Kepada Masyarakat SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) Compiler Jurnal Teknologi Sistem Informasi dan Aplikasi JUTEKIN (Jurnal Manajemen Informatika) INTEK: Informatika dan Teknologi Informasi AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT Antivirus : Jurnal Ilmiah Teknik Informatika Progresif: Jurnal Ilmiah Komputer Jurnal Ilmu Komputer dan Bisnis Jurnal Manajemen Informatika dan Sistem Informasi JATI (Jurnal Mahasiswa Teknik Informatika) JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Computer System and Informatics (JoSYC) International Journal of Advances in Data and Information Systems Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Restikom : Riset Teknik Informatika dan Komputer Mosharafa: Jurnal Pendidikan Matematika Journal of Informatics Management and Information Technology Prosiding Seminar Nasional Program Pengabdian Masyarakat sudo Jurnal Teknik Informatika Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal Teknik Informatika Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer Jurnal Informatika Teknologi dan Sains (Jinteks) Industrial Research Workshop and National Seminar Jurnal Sains Informatika Terapan (JSIT) Journal Of Information System And Artificial Intelligence Jikom: Jurnal Informatika dan Komputer J-Icon : Jurnal Komputer dan Informatika SENAPAS BIMASAKTI

Mutaqin Akbar

Universitas Mercu Buana Yogyakarta

Author-ID : 2640682

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts 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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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GPU Accelerated Fuzzy C-Means (FCM) Color Image Segmentation Mutaqin Akbar; Arita Witanti; Indah Susilawati
Compiler Vol 8, No 2 (2019): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

In this paper, computational acceleration of color image segmentation using fuzzy c-means (FCM) algorithm has been presented. The color image is first converted from the Red Green Blue (RGB) color space to the YUV color space. Then, the luma (Y) information values are grouped according to the desired number of clusters using the FCM algorithm. The FCM algorithm is implemented on a Graphical Processing Unit (GPU) using the Compute Unified Device Library (CUDA) library which is developed by NVidia to speed up the computing time. Images used in this research are red blood cell images, geometry images and leaf images. The results of segmented images processed using GPU were seen identic to the results of segmented images processed using the Central Processing Unit (CPU). The computational time of the FCM algorithm can be accelerated by speed-up to 5,628 times faster and the average speed-up of all simulations done is 5,517 times faster.

PENGGUNAAN AUGMENTED REALITY UNTUK PEMILIHAN MASKER DENGAN METODE FACE TRACKING Muhammad Pratiwo; Mutaqin Akbar
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 16 No 1 (2022): Mei 2022
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v16i1.1961

When using a mask, appearance is essential for some people in supporting appearance and prioritizing comfort. However, when customer on trying masks, a prospective buyer must come directly to the pharmacy or shop. That’s can make consumers' time less efficient. In addition, trying a new mask also risks damaging the mask and an obligation to buy it. A mobile application with Augmented Reality features can help people see the appearance of masks on their facial contours via smartphones without trying it one by one. The application works by combining the mask model in the virtual world with the user's face in the real world captured by the user's smartphone camera. Literature study, needs analyze, application design, application development, and application testing are used in developing this application. Application development is carried out using the Augmented Reality face tracking method. From this application, mask model can be displayed right on the user's face on the android platform. In order to get optimal results, testing is done on the application by testing the application's compatibility when used on various Android devices and conducting a questionnaire to determine whether the application is well received by users using the User Acceptance Testing (UAT) and UAT results classified as good with a final score is 83 ,25%.

Identification of Formaldehyde Bananas using Learning Vector Quantization Rahmat Musa; Mutaqin Akbar
Indonesian Journal of Information Systems Vol. 3 No. 2 (2021): February 2021
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v3i2.4110

Bananas that ripen with chemical process or do not ripen naturally usually, this can be recognized by the presence of blackish patches on the surface of the skin. But visual recognition has its drawbacks, which is that it is difficult to recognize similarities between formalin bananas and natural bananas, resulting in a lack of accurate identification. In this study, a system was built that can determined formalin bananas and natural bananas through digital image identification using supervised classification. The image to be identification previously goes through the process of transforming RGB (Red Green Blue) color to Grayscale, and the process of extracting texture features using statically recognizable features through histograms, in the form of average, standard deviation, skewness, kurtosis, energy, entropy and smoothness. The extraction of texture features is classified with LVQ (Learning Vector Quantization) to determine formalin or natural bananas. The test was conducted with 122 banana imagery sample data, 100 imagery as training data consisting of 50 imagery for natural bananas and 50 imagery for bananas formalin, 22 imagery as test data. The test results showed LVQ method has the best percentage at Learning Rate 0.1, Decreased Learning Rate 0.75 and maximum epoch of 1000 with the smallest epoch of 7, obtained accuracy 90.90%, precision 84.61% and recall 100%.

Identifikasi Telur Fertil dan Infertil menggunakan Jaringan Syaraf Tiruan Radial Basis Function (RBF) Berdasarkan Citra Tekstur Muhammad Ali Ma'mun; Mutaqin Akbar
KONSTELASI: Konvergensi Teknologi dan Sistem Informasi Vol. 1 No. 2 (2021): Desember 2021
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Telur fertil adalah telur ayam yang dapat menetas dan dijadikan bibit ayam atau bisa disebut DOC (Day Old Chick). Sedangkan telur infertil merupakan telur yang tidak dapat menetas atau telur yang tidak mengalami perkembangan embrio pada saat penetasan. Proses identifikasi telur fertil dan telur infertil pada penelitian ini menggunakan metode radial basis function (RBF) diawali dengan proses akuisisi citra pada telur fertil dan telur infertil sehingga mendapatkan 150 data citra. Ekstraksi ciri yang digunakan yaitu gray Level Co-occurrence Matriks (GLCM) untuk mengidentifikasi objek atau pola citra agar mampu memberikan informasi yang detail tentang fitur suatu citra. Fitur yang digunakan yaitu Contrast, Correlation, Energi dan Homogeneity. Data citra yang telah didapatkan dibagi menjadi dua data yaitu, data latih dan data uji, 100 untuk data latih dan 50 untuk data uji. Identifikasi telur fertil dan telur infertil menghasilkan jaringan terbaik dengan error goal 0.0 (default), spread 0.1, lapisan tersembunyi 100, dan maksimum iterasi 1000. Pada lapisan tersembunyi, fungsi aktivasi yang digunakan adalah fungsi aktivasi Gaussian. Hasil pengujian identifikasi telur fertil dan telur infertil dapat diukur berdasarkan nilai akurasi. Berdasarkan model jaringan terbaik, untuk pelatihan diperoleh nilai akurasi tertinggi sebesar 100% dan untuk pengujian diperoleh nilai akurasi tertinggi sebesar 96%.

SISTEM PENDUKUNG KEPUTUSAN UNTUK PEMILIHAN SMART TELEVISI MENGGUNAKAN SIMPLE ADDITIVE WEIGHTING Diski Ijtima Putri; Mutaqin Akbar
JUTEKIN (Jurnal Teknik Informatika) Vol 9, No 1 (2021): JUTEKIN
Publisher : LPPM STMIK DCI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51530/jutekin.v9i1.507

Artikel ini menyajikan sebuah sistem rekomendasi pemilihan pada smart televisi, metode yang digunakan adalah metode Simple Additive Weighting (SAW). Terdapat lima kriteria yang digunakan dalam penelitian ini yaitu harga, ukuran layar, resolusi layar, konsumsi daya, dan garansi produk. Penggunaan Sistem Pendukung Keputusan (SPK) diharapkan dapat membantu keputusan yang di ambil dalam memilih menentukan smart televisi (TV) yang tepat dan sesuai kriteria. Pada penelitian ini akan diangkat suatu kasus yaitu cari alternatif terbaik berdasarkan kriteria-kriteria yang telah ditentukan dengan metode Simple Additive Weighting (SAW). Penelitian dilakukan dengan mencari nilai bobot di setiap alternatif, kemudian dilakukan proses perankingan yang akan menentukan alternatif mana yang tepat dan sesuai kriteria pengguna. Berdasarkan hasil validasi, isian dari 10 responden mengatakan presentase sebesar 78,8% sistem yang sudah dibuat mempunyai manfaat atau perceived of usefulness dan berdasarkan 10 responden mengatakan presentase sebesar 84% sistem yang sudah dibuat mudah dipakai atau perceived of ease bagi pengguna. Kata Kunci : Simple Additive Weighting, Sistem Pendukung Keputusan, Smart TV

Sistem Pakar Diagnosa Penyakit Landak Mini Dengan Teorema Bayes Wakidi Wakidi; Mutaqin Akbar
Prosiding Industrial Research Workshop and National Seminar Vol 12 (2021): Prosiding 12th Industrial Research Workshop and National Seminar (IRWNS)
Publisher : Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (457.98 KB)

Sistem Pakar Diagnosa Penyakit Landak Mini Dengan Teorema Bayes

Implementasi Keamanan Chat Realtime Menggunakan Aes-Cbc Dan Base64 Firdaus Alfajar Sudarsih; Akbar Mutaqin
Journal Of Information System And Artificial Intelligence Vol. 1 No. 2 (2021): Journal of Information System and Artificial Intelligence Vol I, No II Mei.2021
Publisher : Universitas Mercu Buana Yogyakarta

this journal presents an encryption process and description using AES-CBC and Base64, in this study perform several processes such as problem analysis, system design using UML, coding process, testing, and data collection process. To get results from this study will be done the encryption process and text description 30 times that will use different keys and initial vectors to test messages that are already encrypted according to the initial text when in the description. From the research, it can be concluded that the results show that 57% of the messages encrypted have similarities to the contents of the original message, because they use the same key and initial vector to decrypt and, that 43% of the messages that are decrypted have no similarities to the contents of the original message. because they use different key and initial vector to decrypt.

Sistem Pakar Identifikasi Penyakit Kambing Jawa Menggunakan Metode Forward Chaining Sri Muhammad Kusumantomo; Mutaqin Akbar
Journal Of Information System And Artificial Intelligence Vol. 2 No. 1 (2021): Journal of Information System and Artificial Intelligence Vol II, No I November
Publisher : Universitas Mercu Buana Yogyakarta

Goats in the livestock business are a promising business zone. Java goats, for example, Java type goats have a very expensive price, from young Java goats to old Java goats. The Javanese goat business is indeed very profitable, but this business is not without obstacles. There are so many obstacles faced by breeders, especially those who live in villages far from animal hospitals. Thus, the method of identifying the disease of Javan goats was chosen because the symptoms of diseases commonly experienced by Javan goats are relatively easy to observe and comfortable for anyone to try. The developed application is equipped with an easy-to-use and dynamic knowledge management system. This means that experts can add, change, and delete new knowledge or provisions without having to start from scratch. The application was developed using the PHP programming language and MySQL as the information base. The inference procedure used is forward chaining, which is an inference process that starts the search from premises or input information in the form of indications leading to conclusions, namely conclusions about the disease experienced and providing solutions regarding recommendations for healing and prevention based on the observed signs. the results of 100% correspondence between the results of the identification of the expert with the identification of the application.

Sistem Pakar Diagnosa Penyakit Tanaman Bunga Kertas Zinnia Menggunakan Metode Certainty Factor Nanik Triatmi; Mutaqin Akbar
Journal Of Information System And Artificial Intelligence Vol. 2 No. 1 (2021): Journal of Information System and Artificial Intelligence Vol II, No I November
Publisher : Universitas Mercu Buana Yogyakarta

Paper flowers or Zinnia flowers are annual plants belonging to the Zinnia genus. This flower comes from Mexico, grows as an ornamental plant that is spread in various parts of the world, including in Indonesia. Zinnia paper flowers are very popular in Indonesia, this plant is often used for ornamental plants. However, in plant care sometimes ornamental plant farmers experience several obstacles due to diseases or plant pests that attack because there is still a lack of knowledge and handling about these plants. Because if the plants are not handled quickly it will make farmers suffer losses. The purpose of building an expert system for diagnosing zinnia paper flower plant diseases, with this expert system it can be more effective to assist farmers in dealing with diseases or pests that attack The inference process uses the certainty factor method, looks for symptom data and then selects parameters according to existing conditions, then processed with diagnostic results in the form of type of disease, percentage results, disease details and suggestions. Based on 18 symptoms and 5 types of disease, 25 system test data were obtained, 20 data results were appropriate and 5 data results did not match so that the average percentage result was 80%.

Aplikasi Sistem Pakar Diagnosis Risiko Penyakit Kanker Paru Dengan Metode Forward Chaining Berbasis Android Hendri Tri Cahya Leksana; Mutaqin Akbar
Journal Of Information System And Artificial Intelligence Vol. 2 No. 2 (2022): Journal of Information System and Artificial Intelligence Vol II, No II Mei 202
Publisher : Universitas Mercu Buana Yogyakarta

Early diagnosis of lung cancer, which is the number one cause of death in developed countries, is urgently needed. In general, lung cancer is caused by many things including an unhealthy environment, an unhealthy lifestyle and a lack of knowledge about the characteristics or symptoms that are signs that a person has a high or low risk of cancer. The acquisition of knowledge from experts, in this study, is an anatomical pathologist who specializes in obtaining a knowledge base. There are 50 selected respondents who are used as data in this study. The detectable risk is a low risk of lung cancer and a high risk of lung cancer. The forward chaining method is a method for calculating the confidence value of the symptoms given by a patient. The results of testing from 50 selected respondents got very good results for application assessment and application testing results are in accordance with the analysis of the informants by 70%.

Co-Authors Adella Maharani, Putri Agung Firmansyah Agus Salim Ahsan, Moh An-Naufal Nuha, Alfian Anisyah Jatu Siti Nurjanah Aprisia Bahagia, Grace Arifadillah, Elang Arita Witanti Ascha, Nugrah Pratama Astri Wulandari Audita Nuvriasari Auditya, Yonathan Bagus Dwi Kurniawan, Bagus Dwi Bambang Agus Setyawan Budi Sulistiyo Jati Budianto, Alexius Endy Dangin, Dangin Dian Kartika Sari, Dian Kartika Diski Ijtima Putri Dwiyati Pujimulyani Elsa Anggraini Maili Ertandi, Fiki Febri Rahmadsyah Firdaus Alfajar Sudarsih Hardiyanto, Andri Hendri Tri Cahya Leksana Ichlasia Ainul Fitri Ikram, Rauf Al Indah Susilawati Jeremias Quintino Tilman Junianto Bagas Prasetyo Kafilahudin, Fahrul Advis Kartadinata, Arifqi Khuzaini*, Nanang Kuswandaru, Kuswandaru Marfianto, Jodhy Dwi Muhammad Abdul Gofur Muhammad Ali Ma'mun Muhammad Pratiwo Muhammad Syadham, Syahrun Muhammad Syaifudin Musa, Rahmat Nafida Hetty Marhaeni Nanang Khuzaini, Nanang Nanik Triatmi Nur Alamsyah Nurdiarti, Rosalia Prismarini Nusantara, Bondan Surya Pascal Munthe, Thimoty Prasetyaningrum, Putri Taqwa Primananda, Muhammad Izra Priyanto Putu Sangyoga, Titus Bintang Pekiek Rahmat Musa Ramos, Sarah Vega Refky Satria Bima Reny Yuniasanti Rio Setya Pambudi Rismanto, Septa Rivansyah Subagyo, Ibnu Riyanto, Agung Rizky, Muhammad Rafi Fajar Rofiqi, Lutfi Rohmad, Arinadi Nur Rosalia Prismarini Nurdiarti Saputra, Aldi Dwi Saputra, Andika Dwi Sari, Prima Wulan Sedyarsa, Hanif Fauzan Septa Rismanto Setyaningsih, Putry Wahyu Sidiq Purnomo, Agus Sri Muhammad Kusumantomo Subhan Bole Boly Supatman Supatman Umul Aiman Wakidi Wakidi Wibowo, Sigit Heri Wisnu Adi Yulianto Wulandari, Astri Yusanto, Yoga

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