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All Journal ComEngApp : Computer Engineering and Applications Journal Scientific Journal of Informatics InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Techno Nusa Mandiri : Journal of Computing and Information Technology Jurnal Teknoinfo Jusikom: Jurnal Sistem Informasi Ilmu Komputer JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Teknologi Bahan dan Barang Teknik JOURNAL OF INFORMATICS AND COMPUTER SCIENCE Jurnal Teknik Informatika C.I.T. Medicom Pelita Masyarakat Madaniya Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Community Empowerment Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) INCODING: Journal of Informatics and Computer Science Engineering J-SAKTI (Jurnal Sains Komputer dan Informatika) Mejuajua Jurnal Sisfotek Global Journal of Renewable Energy, Electrical, and Computer Engineering TECHSI - Jurnal Teknik Informatika Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Teknologi Terapan and Sains 4.0 Jurnal Ilmiah Teknik Informatika & Elektro (JITEK) Jurnal Ilmu Komputer dan Teknologi Informasi Al'Adzkiya International of Computer Science and Information Technology Journal JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia)
Muhathir, Muhathir
Universitas Medan Area
Religion Aerospace Engineering Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Social Sciences Other

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Perbandingan Algoritma Blowfish Dan Twofish Untuk Kriptografi File Gambar Muhathir Muhathir
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 2, No 1 (2018): EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v2i1.1673

Abstract

Masalah keamanan dan kerahasiaan data dan informasi merupakan suatu hal yang sangat penting. Salah satu cara untuk menjaga data tersebut yaitu dengan teknik enkripsi dan dekripsi atau juga sering disebut dengan kriptografi. Kriptografi adalah ilmu dan seni  untuk menjaga keamanan data dengan cara mengubahnya menjadi suatu bentuk yang tidak dapat dikenali lagi. Kriptografi dapat diterapkan pada berbagai jenis file salah satunya adalah gambar. Algoritma blowfish dan twofish yang digunakan untuk membahas tingkat kecapatan masing-masing algoritma. Hasil penelitian menunjukkan bahwa rata-rata perbandingan kecepatan dari algoritma blowfish dan algoritma twofish  dalam satuan milidetik adalah  4355:4267.
Analisis Pengaruh Fungsi Aktivasi, Learning Rate Dan Momentum Dalam Menentukan Mean Square Error (MSE) Pada Jaringan Saraf Restricted Boltzmann Machines (RBM) Susilawati Susilawati; Muhathir Muhathir
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 2, No 2 (2019): EDISI JANUARI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v2i2.2162

Abstract

Restricted boltzmann machines (RBM) merupakan algoritma pembelajaran jaringan syaraf tanpa pengawaas (unsupervised learning) yang hanya terdiri dari dua lapisan yang visible layer dan hidden layer. Kinerja RBM sangat dipengaruhi oleh parameter-parameternya seperti fungsi aktivasi yang digunakan untuk mengaktifkan neuron pada jaringan dan learning rate serta momentum untuk mempercepat proses pembelajaran. Pemilihan fungsi aktivasi yang tepat sangat mempengaruhi kinerja dalam menentukan Mean Square Error (MSE) pada jaringan saraf RBM. Fungsi aktivasi yang digunakan pada jaringan RBM adalah fungsi aktivasi sigmoid. Beberapa varian dari fungsi aktivasi sigmoid seperti fungsi sigmoid biner dan sigmoid tangen hiperbolik (tanh). Dengan menggunakan dataset MNIST untuk pembelajaran dan pengujian, terlihat bahwa tingkat keberhasilan untuk klasifikasi pada fungsi aktivasi sigmoid biner, ditentukan oleh nilai MSE yang kecil. Berbeda dengan fungsi aktivasi tangen nilai MSE menaik seiring bertambahnya jumlah epoch. Fungsi aktivasi sigmoid biner dengan learning rate 0.05 dan momentum 0.7 memiliki tingkat pengenalan tulisan tangan yang tinggi sebesar 93.42%, diikuti dengan learning rate 0.01 momentum 0.9 yakni 91.92%, learning rate 0.05 momentum 0.5 yakni 91.31%, learning rate 0.01 momentum 0.7 sebesar 90.56% dan terakhir learning rate 0.01 momentum 0.5 sebesar 87.49%.
Wayang Image Classification Using SVM Method and GLCM Feature Extraction Muhathir Muhathir; M Hamdani Santoso; Diah Ayu Larasati
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 2 (2021): EDISI JANUARY 2021
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v4i2.4524

Abstract

Wayang is a masterpiece of art that has been able to survive centuries of change and development as a reflection of life for the majority of society. Wayang has a high value because it does not only function as a "entertainment" spectacle, but also has many lessons and life values that can be learned from a wayang show. Puppet itself has various types and forms, and these forms have their own uniqueness, because of the many types of Puppet, many people do not know all the names and types of wayang. Therefore, in this research, we will discuss how to recognize wayang objects based on wayang images using the SVM and GLCM methods as feature extraction. The results showed that the classification of wayang using the SVM (Support Vector Machine) method and the GLCM (Gray Level Co-Occurrence Matrix) feature extraction can recognize wayang objects based on wayang images and classify them quite accurately and a maximum total accuracy of 83.2% is obtained.
Classification of facial expressions using SVM and HOG Juliansyah Putra Tanjung; Muhathir Muhathir
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 3, No 2 (2020): EDISI JANUARI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v3i2.3182

Abstract

The face is one of the human biometric which is often utilized as an important information of a person. One of the unique information of the face is facial expressions, expressions are information that is given indirectly about an expression of one's feelings. Because facial expressions have a unique pattern for each expression so that the pattern of facial expression will be tested with the computer by utilizing the Histogram of oriented gradient (HOG) descriptor as the extraction of existing features in each expression Face and information acquisition from HOG will be classified by utilizing the Support vector Mechine (SVM) method. The results of facial expression classification by utilizing the Extracaski HOG features reached 76.57% at a value of K = 500 with an average accuracy of 72.57%.
Analysis Naïve Bayes In Classifying Fruit by Utilizing Hog Feature Extraction Muhathir Muhathir; Muhammad Hamdani Santoso; Rizki Muliono
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 1 (2020): ---> EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (300.115 KB) | DOI: 10.31289/jite.v4i1.3860

Abstract

Indonesia has abundant natural resources, especially the results of its plantations. Lots of local fruit that can be used starting from the root to the skin of the fruit. Local fruit can be consumed as fresh fruit and can also be processed into drinks and food. This is reflected in the diversity of tropical fruits found in Indonesia. Fruits that are rich in benefits and can be used as medicines such as Apples, Avocados, Apricots, and Bananas. These fruits are often found around us. In Indonesia these fruits are produced and also exported abroad. However, the limited methods and technology used to classify this fruit are interesting things to discuss and become the main focus in this research. This study analyzed using the Naïve Bayes algorithm and feature extraction of HOG (Oriented Gradient Histogram) to obtain more effective classification results. The results showed that the collection of fruit using the Naïve Bayes method and HOG feature extraction had not yet obtained maximum classification results, only with an accuracy of 56.52%.Keywords – Apple, Avocado, Apricot, Banana, Naïve Bayes, HOG.
The e-Business Community Model is Used to Improve Communication Between Businesses by Utilizing Union Principles Fauzi Fauzi; Al-Khowarizmi Al-Khowarizmi; Muhathir Muhathir
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 3, No 2 (2020): EDISI JANUARI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v3i2.3260

Abstract

Business is an interpersonal and organizational activity that involves the process of selling, purchasing both goods and services with the aim of making a profit. But to get a large profit, it takes many partners who have a high desire to move forward. Information technology provides services for business people so that media information is available as a sign of obstacles. In addition it is necessary to do modeling where the process of communication between businesses running on information technology has a different profit from the business being run. Thus the union has the principle of kinship and has the principle of profitability divided by the amount of contribution given so that the creation of a model in electronic business (e-business) in the hope of having a family principle that is able to provide special profits for businesses other than the profits that run on certain businesses.
Perhitungan Metode Fuzzy Sugeno Dan Antropometri Dalam Memprediksi Status Gizi Indeks Massa Tubuh Dinur Syahputra; Muhathir Muhathir
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 2, No 1 (2018): EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v2i1.1676

Abstract

Antropometri merupakan ilmu yang mempelajari berbagai ukuran tubuh manusia. Dalam bidang ilmu gizi digunakan untuk menilai status gizi. Metode yang digunakan adalah fuzzy sugeno, yaitu aturan yang direpresentasikan dalam bentuk IF-THEN dengan output berupa konstanta untuk melakukan perhitungan terhadap status gizi indeks massa tubuh. Dalam hal memprediksi status gizi indeks massa tubuh dilakukanlah perhitungan dengan menggunakan metode fuzzy sugeno dan antropometri.
Utilization of Support Vector Machine and Speeded up Robust Features Extraction in Classifying Fruit Imagery Muhathir Muhathir; Wahyu Hidayah; Dian Ifantiska
Computer Engineering and Applications Journal Vol 9 No 3 (2020)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (228.936 KB) | DOI: 10.18495/comengapp.v9i3.347

Abstract

Indonesia's various types of fruits can be met by the community. Many fruits that contain a source of vitamins are very beneficial to the body, or as an economic source for farmers. It's no wonder that many experts submit discoveries to increase the amount of productivity or just want to experiment with intelligent systems. Intelligent systems are specially designed machines in certain areas to adjust the capabilities made by the creators. This article provides the latest texture classification technique called Speeded up Robust Features (SURF) with the SVM (Support Vector Machine) method. In this concept, the representation of the image data is done by capturing features in the form of keys. SURF uses the determinant of the Hessian matrix to reach the point of interest in which descriptions and classifications are performed. This method delivers superior performance compared to existing methods in terms of processing time, accuracy, and durability. The results showed that the fruit classification by using the extraction of Speeded up Robust Features (SURF) feature and SVM (Support Vector Machine) Classification method is quite maximal and accurate. Result of 3 kinds of classification with SVM kernel function, SVM Gaussian with 72% accuracy, Polynomial SVM with 69.75% accuracy, and Linear SVM with 70.25% accuracy.
KLASIFIKASI EKSPRESI WAJAH MENGGUNAKAN BAG OF VISUAL WORDS Muhathir .
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Vol 2, No 2 (2018): InfoTekJar Maret
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/infotekjar.v2i2.181

Abstract

Pada hakikatnya, manusia dapat membedakan pola terhadap suatu objek berdasarkan bentuk visual yang mengandung keadaan emosional. Seperti membedakan ekspresi wajah seseorang pada suatu citra. Manusia dapat membedakan ekspresi pada citra tersebut secara kasat mata. Namun komputer yang tidak dapat mengenali ekspresi wajah tersebut. Bag of visual words merupakan suatu skema untuk mengklasifikasikan citra berdasarkan nilai-nilai pixel pada citra. Dengan menggunakan deteksi interest point dan ekstraksi interest point, bag of visual words mengambil ciri unik pada citra sehingga dapat membedakan pola-pola yang terdapat pada suatu citra. Bag of visual word dengan nilai K 500 mampu mengklasifikasi pola ekspresi wajah dengan tingkat akurasi 69%,Kata kunci: Wajah, Klasifikasi, Speed-up Robust Feature, Bag of visual words, Ekspresi
Pembuatan Aplikasi Sistem Informasi Manajemen Sekolah Untuk Layanan Penerimaan Peserta Didik Baru Zulfikar Sembiring; Susilawati Susilawati; Muhathir Muhathir
Pelita Masyarakat Vol 2, No 1 (2020): Pelita Masyarakat, September
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/pelitamasyarakat.v2i1.4193

Abstract

One of the education problems in this country is the zoning policy in the new student admission system (PPDB). This is in accordance with the policy of the Ministry of Education and Culture (Kemendikbud) in 2016 which began with the use of zoning for the administration of national exams. Then in 2017 the zoning system was implemented for the first time in implementing PPDB, and was refined in 2018 through Permendikbud Number 14 of 2018. The first problem faced is the zoning system organized by State Junior High Schools in Medan and the Education Office which still causes unrest for the community, especially parents, where the implementation has not been carried out in a transparent manner, both the number of prospective students who have registered at the school and the scoring system based on distance, the achievement of prospective students and the transfer of parents' duties. The second problem is the system for announcing the acceptance of prospective students who have passed a certain school is not generally published. The solution offered to deal with problems that occur to partners is by transferring science and technology in the form of management information system-based applications and services to partners in the form of a new student admission information system (PPDB), training related to the use of the PPDB system, and assistance to partners. . The result of this community service program is to increase insight and knowledge of skills for partners in optimizing the use of information systems and information technology to support PPDB operational activities, improving partners' skills and abilities in using school service management applications designed to facilitate the school PPDB process and implementation of PPDB. which is organized by schools and education offices to become more transparent to the public.
Co-Authors Al Khowarizmi Albar, Rizka Amri Ismail Tumanggor Andre Hasudungan Lubis Andre Hasudungan Lubis Arief Goeritno Aripin Rambe Ayu Pariyandani Azmi, Fadhillah Cahyo Hasanudin Cut Lika Mestika Sandy Cut Try Utari Deti Indah Kiranti Diah Ayu Larasati Dian Ifantiska Dina Maizana Dinur Syahputra Dwipayana, Mahendar Effiati Juliana Hasibuan Eka Pirdia Wanti Ellis Susmawati Esrayanti Simanjuntak Essay Puspita Sitopu FADHILLAH AZMI Fadli, MHD. Fajar Alry Fadlisyah Fadlisyah Fadlisyah Fadlisyah Fadlisyah Fauzi FAUZI . Fawwaz, Insidini Fitra , Akbario Gultom, William Habib Satria Hashina Qiamu Mumtaziah Hayani Wulandari Idrus, Syed Zulkarnain Syed Indra Muda Ira Safira Ira Safira Juliansyah Putra Tanjung Karynda Natalie Theofilus Leonardi Paris Hasugian M. Hamdani Santoso Maghfirah Maghfirah Mahardika Abdi Prawira Tanjung Mahmudah Salwa Gianti Marpaung, Febriady Melisah Melisah Merri Hafni Moulando Tampubolon Muchammad Takdir Sholehati Muhammad Fadlan Siregar Muhammad Fauzy Mungkin, Moranaim N P Dharshinni Nadzifah Nadzifah Nanda Novita Napisah, Napisah Nasution, Annisa Neneng Yulia Barky Noor, Fredy Nugraha Rahmadan Diyanto Nurul Khairina Pariyandani, Ayu Purba, Sentia Ovania Rahman, Sayuti Rambe, Yunita Syafitri Reydo Trisno Pangestu Reyhan Achmad Rizal Rifa Alia Syahidah Rizki Muliono Saufa Yardha Moerni Sibarani, Theofil Tri Saputra Simangunsong, Roy Candra Simanjuntak, Juan Siregar, Erlina Sri Juwita Sri Wahyuni Subairi Subairi Susilawati Susilawati Syahputra, Dinur Syahputra, Dinur Syifaul Fuada Syuhada, Rahmad Taufik Ismail Simanjuntak Taufik Ismail Simanjuntak Theofil Tri Saputra Sibarani Tika Ermita Wulandari Wahyu Hidayah Wanti, Eka Pirdia Wibawa, M. Bayu Yahya, Yanawati Binti Yanawati Yahya Yopan Rahmad Aldori Yuhefizar Yuhefizar Zebua, Meniati Zuhar Musliyana, Zuhar Zulfikar Sembiring Zulfikar Sembirirng