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All Journal Scientific Journal of Informatics Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Teknoinfo JOURNAL OF INFORMATICS AND COMPUTER SCIENCE INCODING: Journal of Informatics and Computer Science Engineering Mejuajua Journal of Renewable Energy, Electrical, and Computer Engineering Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Teknologi Terapan and Sains 4.0 Jurnal Ilmiah Teknik Informatika & Elektro (JITEK) Al'Adzkiya International of Computer Science and Information Technology Journal
Muhathir, Muhathir
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Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Public Health Other

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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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (581.755 KB) | 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%.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (705.403 KB) | DOI: 10.31289/jite.v3i2.3326

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (362.166 KB) | 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.
Utilization of SVM Method and Extraction of GLCM Features in Classifying Fish Images with Formalin Muhathir, Muhathir; Wanti, Eka Pirdia; Pariyandani, Ayu; Idrus, Syed Zulkarnain Syed; Lubis, Andre Hasudungan
Scientific Journal of Informatics Vol 8, No 1 (2021): May 2021
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v8i1.26806

Abstract

Purpose: Fish is a type of animal protein that can be consumed by humans to supplement protein in the body. Due to the fact that there is an abundance of fish in Indonesia, traders often experience losses because of rotting fish. A small proportion of traders tricked the buyers by mixing fish with formaldehyde to preserve fish in order to prevent fish spoilage until it can be consumed.  Thus, every fish buyer must be aware of fraud by traders. Methods: To be able to find out that the fish has been mixed with formalin, the solution offered is computerized by utilizing the GLCM feature extraction as information extraction on the fish image and the SVM method as a classification method. Result: The results showed an average accuracy of 0.784, precision of 0.799, recall of 0.784, and f-measure of 0.781. Novelty: The effect of the SVM classification method on the performance measurement of the model is not too big compared to previous studies, but it is better. 
Utilization of SVM Method and Extraction of GLCM Features in Classifying Fish Images with Formalin Muhathir, Muhathir; Wanti, Eka Pirdia; Pariyandani, Ayu; Idrus, Syed Zulkarnain Syed; Lubis, Andre Hasudungan
Scientific Journal of Informatics Vol 8, No 1 (2021): May 2021
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v8i1.26806

Abstract

Purpose: Fish is a type of animal protein that can be consumed by humans to supplement protein in the body. Due to the fact that there is an abundance of fish in Indonesia, traders often experience losses because of rotting fish. A small proportion of traders tricked the buyers by mixing fish with formaldehyde to preserve fish in order to prevent fish spoilage until it can be consumed.  Thus, every fish buyer must be aware of fraud by traders. Methods: To be able to find out that the fish has been mixed with formalin, the solution offered is computerized by utilizing the GLCM feature extraction as information extraction on the fish image and the SVM method as a classification method. Result: The results showed an average accuracy of 0.784, precision of 0.799, recall of 0.784, and f-measure of 0.781. Novelty: The effect of the SVM classification method on the performance measurement of the model is not too big compared to previous studies, but it is better. 
KLASIFIKASI DAUN TEH SIAP PANEN MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK ARSITEKTUR MOBILENETV2 Marpaung, Febriady; Khairina, Nurul; Muliono, Rizki; Muhathir, Muhathir; Susilawati, Susilawati
Jurnal Teknoinfo Vol 18, No 1 (2024): Januari
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v18i1.3435

Abstract

Penentuan waktu panen daun teh adalah faktor penting dalam industri teh yang secara signifikan mempengaruhi kualitas dan nilai jual produk. Maka dari itu, para petani teh dan produsen perlu memahami waktu yang tepat untuk memetik daun teh untuk menghasilkan teh berkualitas tinggi. Klasifikasi daun teh siap panen dapat menjadi solusi efektif untuk membantu dalam menentukan waktu panen yang optimal. Dalam rangka mencapai tujuan ini, pendekatan digital menjadi semakin penting, di mana pengenalan otomatis daun teh dapat dilakukan dengan cepat dan akurat. Salah satu metode yang digunakan dalam penelitian ini adalah Convolutional Neural Network (CNN) dengan arsitektur MobileNetV2. Convolutional Neural Network (CNN), khusus dirancang untuk mengolah data dua dimensi seperti gambar. Keunggulan CNN terletak pada kemampuannya memahami dan mengklasifikasi aspek dan objek dalam citra. Salah satu arsitektur model Deep Learning menggunakan CNN yang populer adalah MobileNet. MobileNetV2, sebagai modifikasi MobileNet, memperkenalkan inverted residual blocks dan linear bottleneck. Perbedaan utama dengan MobileNetV1 terletak pada penggunaan bottleneck, yang memungkinkan model mengubah input dari tingkat rendah ke deskriptor tingkat tinggi. MobileNetV2 mampu ekstraksi fitur otomatis dan efisien melalui inverted residual blocks, dan linear bottleneck meningkatkan kapabilitas model dalam mengolah informasi. Dengan pendekatan ini, MobileNetV2 menggunakan CNN sebagai alat efektif untuk tugas-tugas klasifikasi citra, menawarkan kemampuan ekstraksi fitur otomatis dan pengolahan informasi yang efisien dalam pengembangan Deep Learning. CNN telah terbukti efektif dalam tugas klasifikasi gambar, dan MobileNetV2 dikenal karena ringan dan efisien dalam penggunaan sumber daya. Dengan menggunakan metode ini, penelitian ini bertujuan untuk mengklasifikasikan tingkat kematangan daun teh. Hasil training dari enam skenario model yang diuji menunjukkan bahwa tingkat akurasi tertinggi tercapai pada pengujian skenario model 2, yaitu sebesar 100%. Pada pengujian ini, hyperparameter yang optimal termasuk epoch sebanyak 50, input shape RGB Channel sebesar 224x224x3, batch size sejumlah 32, dan optimizer yang digunakan adalah Adam. Pentingnya akurasi terlihat dari hasil pengujian menggunakan data testing, di mana model berhasil mencapai akurasi sebesar 100%. Selain itu, nilai presisi, recall, dan f1-score juga mencapai 100%. Hal ini menunjukkan bahwa model yang dikembangkan mampu mengenali dan mengklasifikasikan daun teh siap panen dengan sangat baik
Sistem Informasi Manajemen Data Surat Dengan Algoritma Blowfish Sitopu, Essay Puspita; Khairina, Nurul; Muliono, Rizki; Muhathir, Muhathir
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 6 No. 1 (2022): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2022
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v6i1.7964

Abstract

Perkembangan teknologi informasi yang semakin pesat saat ini menuntut kita untuk mampu mengikuti perkembangannya. Komunikasi secara digital di era modern dapat menjadi salah satu ancaman akan adanya penyadapan, penyalahgunaan informasi, dan pencurian data penting yang tidak diinginkan oleh pihak yang tidak berwenang. Apalagi jika informasi tersebut bersifat rahasia dan memliki ruang lingkup yang luas dalam kenegaraan. Oleh karena itu, keamanan penyimpanan data menjadi sangat penting. Data yang terdapat pada surat masuk ataupun surat keluar dalam satu sekolah juga memliki kerahasiaan yang harus dijaga, kemana surat dikirimkan dan dari mana surat berasal juga menjadi salah satu hal yang perlu dijaga kerahasiannya. Atas dasar inilah peneliti ingin membangun sistem informasi manajemen surat yang berfokus pada penyimpanan data surat atau database surat. Dari berbagai metode penyandian yang ada hingga saat ini, salah satunya adalah metode Kriptografi Blowfish yang menggunakan blok cipher 64-bit dengan panjang kunci variabel. Proses enkripsi pada penelitian ini merupakan proses memberikan kunci rahasia pada surat tersebut agar surat tersebut berubah menjadi tulisan sandi yang tidak dapat dipahami oleh pihak yang tidak berwenang. Proses deskripsi merupakan proses menterjemahkan kembali surat yang telah terahasia agar pihak sekolah dapat membaca surat yang dimaksud. Dari hasil pengujian sistem informasi, sistem informasi manajemen surat dapat menerapkan Algoritma Blowfish dengan baik, hal ini ditandai dengan adanya perubahan nomor surat, tanggal pengiriman surat serta tujuan pengiriman surat pada saat proses enkripsi maupun pada saat proses dekripsi.
Determining the Appropriate use of 3 Phase 150 kV Transformer Oil Using the Fuzzy Method Maizana, MT, Dina; Tampubolon, Moulando; Muhathir, Muhathir; Siregar, Muhammad Fadlan; Yahya, Yanawati
Journal of Renewable Energy, Electrical, and Computer Engineering Vol 4, No 2 (2024): September 2024
Publisher : Institute for Research and Community Service, Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i2.17914

Abstract

Transformer is electrical power equipment that functions to convert electrical energy from one voltage value to another through the action of a magnetic field. Transformers are important electrical equipment because they are directly connected to electricity transmission and distribution lines. The aim of this research is to analyze transformer oil and its suitability standards. The type of research used is quantitative research using the Dissolved Gas Analysis (DGA) method. The data obtained for this method will be calculated by applying Fuzzy Logic to map the problem or determine variables. The mapping results will then be calculated using Matlab as the result of mathematical data analysis in graph form.
Perancangan Sistem Informasi Pendataan Swab Pegawai Pada PT. Perkebunan Nusantara III Nasution, Annisa; Muhathir, Muhathir
Jurnal Ilmiah Teknik Informatika & Elektro (JITEK) Vol 3, No 2 (2024): Jurnal Ilmiah Teknik Informatika & Elektro (JITEK)
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jitek.v3i2.1897

Abstract

PT. Perkebunan Nusantara III is an Indonesian state-owned enterprise engaged in the plantation sector. However, since the Covid-19 pandemic, the company has required all PTPN employees to carry out swabs to prevent transmission of Covid-19. Prior to conducting employee swabs, there is data collection first. Currently, swab data collection at PTPN III still uses the manual method, namely using paper as a document. Therefore the purpose of this research is to design an Information System for Employee Swab Data Collection at PT. Perkebunan Nusantara III to replace the use of paper in processing employee swab data. By designing a swab data collection information system, it is hoped that it can reduce the use of paper and make it easier to collect employee swab data at PTPN III.
Perancangan Sistem Informasi Pengolahan Data Gaji Karyawan Berbasis Web pada PT. Raksasa Indonesia Siregar, Erlina; Muhathir, Muhathir
Jurnal Ilmiah Teknik Informatika & Elektro (JITEK) Vol 3, No 2 (2024): Jurnal Ilmiah Teknik Informatika & Elektro (JITEK)
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jitek.v3i2.2261

Abstract

Employees are work members who are owned by the company to help the company's work to be more improved. So that employees have the salary they get. This information system can help design an employee payroll data collection system that is still done manually so that it becomes website-oriented. The employee's salary is the salary that the employee is entitled to receive at the behest of the company owner. In collecting employee payroll data, it is necessary to pay more attention to detail. This is to avoid mistakes in data collection and losses to the company. In addition, in making monthly salary reports, the HRD or finance department must recap and separate employee salary data which is then inputted into a monthly salary report. The result of this design is a computerized web-based employee payroll information system. In the process of paying these employees, the finance department will record employee transactions in the transaction book and employees get proof of salary in the form of a piece of paper from finance. In addition, reports that will be submitted to HRD also still use a simple manual method, namely by printing all employee data based on their position.
Co-Authors Al Khowarizmi Albar, Rizka Dwipayana, Mahendar Ermita Wulandari, Tika Fadli, MHD. Fajar Alry Fadlisyah Fadlisyah Fauzi Fauzi Fitra , Akbario Gultom, William Habib Satria Idrus, Syed Zulkarnain Syed Juliansyah Putra Tanjung Lubis, Andre Hasudungan Maghfirah Maghfirah Maizana, Dina Maizana, MT, Dina Marpaung, Febriady Moerni, Saufa Yardha Mungkin, Moranaim Nasution, Annisa Noor, Fredy Nurul Khairina Pariyandani, Ayu Purba, Sentia Ovania Rahman Aldori, Yopan Rizki Muliono, Rizki Sibarani, Theofil Tri Saputra Simanjuntak, Juan Siregar, Erlina Siregar, Muhammad Fadlan Sitopu, Essay Puspita Susilawati, Susilawati Syafitri Rambe, Yunita Syahputra, Dinur Syuhada, Rahmad Tampubolon, Moulando Wanti, Eka Pirdia Wibawa, M. Bayu Yahya, Yanawati Yahya, Yanawati Binti Zebua, Meniati Zuhar Musliyana, Zuhar zulfikar sembiring, zulfikar