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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 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

Author-ID : 689999

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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Analisis Fast Fourier Tansform untuk Pengenalan Voice Register Wanita dalam Teknik Bernyanyi Muhathir, Muhathir; Susilawati, Susilawati; Muliono, Rizki
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 2, No 2 (2019): EDISI JANUARI
Publisher : Universitas Medan Area

Automatic speech recognition merupakan kemampuan untuk menerima dan mengidentifikasi kata-kata yang diucapkan dengan mengubah sinyal analog ke digital, dan mengekstraksi karakteristik vokal unik seperti pitch, frekuensi, nada dan irama untuk membentuk model speaker atau sampel suara. Sampel suara yang digunakan yaitu voice register, voice register adalah pembagian wilayah suara manusia berdasarkan sumber suara, sensasi ruang resonansi, bentuk, warna, timbre suara, dan tinggi rendahnya nada yang dihasilkan. Fast Fourier Transform digunakan sebagai transformasi untuk mengolah sample suara yang akan diklasifikasi. FFT dalam mentransormasikan sinyal voice register hanya mampu mengklasifikasikan dengan rata-rata true positive rate 65.4%.

Perhitungan Metode Fuzzy Sugeno Dan Antropometri Dalam Memprediksi Status Gizi Indeks Massa Tubuh Syahputra, Dinur; Muhathir, Muhathir
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 2, No 1 (2018): EDISI JULI
Publisher : Universitas Medan Area

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.

KLASIFIKASI EKSPRESI WAJAH MENGGUNAKAN BAG OF VISUAL WORDS Muhathir, Muhathir
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 1, No 2 (2018): Edisi Januari
Publisher : Universitas Medan Area

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

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

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%.

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

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.

Design of Parking Control Using Ultrasonic Sensor Based On Fuzzy Logic Fawwaz, Insidini; Azmi, Fadhillah; Muhathir, Muhathir; Dharshinni, N P
JITE (JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING) Vol 3, No 1 (2019): EDISI JULI
Publisher : Universitas Medan Area

The number of vehicles in Indonesia is currently increasing, which is not matched by the availability of parking lots, especially cars. Like in public places, namely, offices, shops, and other public places. However, in Indonesia the use of parking lots is still less organized, such as too close the position of one car to another, the position of the vehicle that is not in line with the slot, this can cause inconvenience in the use of parking lots or both parties. Supervision carried out by the manager of the parking lot is still lacking because it can be caused by the vast parking area and the number of supervised vehicles, so that a parking control system is needed that can help overcome this problem. The control system to be designed uses a proximity sensor to detect the proximity of the vehicle to one another, where the position of the vehicle has been determined, not only to detect proximity, but the number of vehicles that have entered the parking area, so parking users know whether the slot provided is still available or not. To detect distance, fuzzy logic method is applied. Fuzzy methods are applied to read the conditions received by the proximity sensor, and calculate the number of vehicles using infra red and photodiode sensors. If information from the proximity sensor that is processed in the microcontroller by fuzzy logic is detected, the output is in the form of an LED indicator and alarm warning.

Design of Water Level Detection Using Ultrasonic Sensor Based On Fuzzy Logic Azmi, Fadhillah; Fawwaz, Insidini; Muhathir, Muhathir; Dharshinni, N P
JITE (JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING) Vol 3, No 1 (2019): EDISI JULI
Publisher : Universitas Medan Area

Water is one of the natural resources that are needed by creatures on earth. And the need for clean water is increasing, so the price of water, both bottled water and the price of water from the PDAM. Therefore, it is necessary to have a design that can control water needs, such as the water level for filling the required containers, controlling the water level in the reservoir, etc. according to human needs so that no waste of water occurs. This research was conducted to design water level detection by combining hardware and software, namely ultrasonic sensors as detection, Arduino Uno microcontroller as a process, and fuzzy logic as an analysis of data delivered by ultrasonic sensors. So, this design can be utilized in various fields both industrial and home. This water level detection is designed using ultrasonic sensors as distance monitoring, servo motor, LED warning, and buzzer. Fuzzy logic is applied to the ability of a tool designed by determining the desired set point of water. Test results that have been carried out with Fuzzy Logic with 5 levels, are level 1 (0 ? 6 cm), level 2 (6.1 ? 12 cm), level 3 (12.1 cm ? 18 cm), level 4 (18.1 cm ? 24 cm), and level 5 (24.1 ? 30 cm).

CLASSIFICATION OF FACIAL EXPRESSIONS USING SVM AND HOG Tanjung, Juliansyah Putra; Muhathir, Muhathir
JITE (JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING) Vol 3, No 2 (2020): EDISI JANUARI
Publisher : Universitas Medan Area

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%.

MOTION MONITORING SYSTEM BASED ON IOT Susilawati, Susilawati; Sembiring, Zulfikar; Muhathir, Muhathir
JITE (JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING) Vol 3, No 2 (2020): EDISI JANUARI
Publisher : Universitas Medan Area

Every object is always moving, and movement of an object can occur at any time. The value of the motion which produced from an object can be very small to very large, and the impact of the movement can be at risk until very risky. For this reason, the movement of objects at risk must be observed whenever changes and observations for data retrieval can be done remotely. The purpose of this research to design an Internet of Things (IoT) devices that can observe and detect changes in the motion of an object. The device is designed to be small, around 44 x 48 millimeters with very low power consumption. The design phase begins with recording motion data using the MPU6050 accelerometer sensor as a motion detector, arduino nano as a control device, WiFi ESP8266 as a communication medium for sending data from a receiver apllication motion data with UDP protocol. The test results show that this device is very sensitive to detect changes in the motion and angle of X, Y and Z of an object.

THE E-BUSINESS COMMUNITY MODEL IS USED TO IMPROVE COMMUNICATION BETWEEN BUSINESSES BY UTILIZING UNION PRINCIPLES Fauzi, Fauzi; Al-Khowarizmi, Al-Khowarizmi; Muhathir, Muhathir
JITE (JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING) Vol 3, No 2 (2020): EDISI JANUARI
Publisher : Universitas Medan Area

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.

Co-Authors Al Khowarizmi Albar, Rizka Amri Ismail Tumanggor 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 . Fitra , Akbario Gultom, William Habib Satria Hashina Qiamu Mumtaziah Hayani Wulandari Idrus, Syed Zulkarnain Syed Indra Muda Insidini Fawwaz 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 Napisah, Napisah Nasution, Annisa Neneng Yulia Barky Noor, Fredy Nugraha Rahmadan Diyanto Nurul Khairina Pariyandani, Ayu Purba, Sentia Ovania 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

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