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Jurnal Telematika
Published by Institut Teknologi Harapan Bangsa
ISSN : 18582516     EISSN : 25793772     DOI : https://doi.org/10.61769/telematika
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Jurnal Telematika is a scientific periodical written in Indonesian language published by Institut Teknologi Harapan Bangsa twice per year. Jurnal Telematika publishes scientific papers from researchers, academics, activist, and practicioners, which are results from scientific study and research in the field of telematics and information technology.
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Articles 6 Documents
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Search results for , issue "Vol. 17 No. 2 (2022)" : 6 Documents clear
Pengenalan Masker Wajah Menggunakan VGG-16 dan Multilayer Perceptron Margolang, Khairul Fadhli; Riyadi, Sugeng; Rosnelly, Rika; Wanayumini, Wanayumini
Jurnal Telematika Vol. 17 No. 2 (2022)
Publisher : Yayasan Petra Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61769/telematika.v17i2.519

Abstract

Penggunaan masker wajah pada masa pandemi Covid-19 dapat diidentifikasi berdasarkan citra yang diambil dari wajah seseorang kemudian diklasifikasi berdasarkan hasil ekstraksi fiturnya. VGG 16 merupakan sebuah pre-trained CNN model yang dapat mengekstrak 4.096 fitur dari sebuah citra dan melakukan transfer learning kepada algoritme multilayer perceptron dalam mengklasifikasikan seseorang menggunakan masker wajah atau tidak. Hasil dari penelitian ini menunjukkan bahwa kombinasi aktivasi ReLu dengan optimasi adaptive moment (Adam) dan stochastic gradient descent (SGD), kombinasi ReLu dan Adam, menghasilkan performa klasifikasi terbaik dengan nilai accuracy, precision, dan recall sebesar 98,1%.
Klasifikasi Jenis Kelengkeng Berdasarkan Daun Menggunakan Convolutional Neural Network Multilayer Perceptron Nafiiyah, Nur; Prasetyo, Puguh Rouf
Jurnal Telematika Vol. 17 No. 2 (2022)
Publisher : Yayasan Petra Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61769/telematika.v17i2.496

Abstract

Penelitian terkait pengenalan jenis kelengkeng berdasarkan daun membutuhkan peningkatan ekstraksi fitur daun kelengkeng, baik berdasarkan fitur, bentuk, atau tekstur. Penelitian yang sudah ada lebih banyak proses ekstraksi fitur menggunakan warna, tekstur, dan bentuk sehingga penelitian ini mengusulkan pengenalan jenis kelengkeng berdasarkan citra daun dari seluruh piksel citra dengan metode convolution neural network. Tujuan penelitian ini mengenali jenis kelengkeng menggunakan ekstraksi fitur seluruh intensitas citra daun. Citra yang digunakan untuk mengenali jenis kelengkeng adalah citra warna berukuran 128x128. Jenis kelengkeng yang diteliti adalah itoh, diamond river, dan lokal dengan total seluruh data latih 150 citra dan data tes 30 citra. Hasil klasifikasi jenis kelengkeng dengan menggunakan multilayer perceptron adalah baik. Nilai akurasi multilayer perceptron yang dihasilkan adalah sebesar 96,7%.
Algoritma K-Nearest Neighbors (KNN) untuk Klasifikasi Citra Buah Pisang dengan Ekstraksi Ciri Gray Level Co-Occurrence Ilhamy, Rifqi Syahrul; Sanjaya, Ucta Pradema
Jurnal Telematika Vol. 17 No. 2 (2022)
Publisher : Yayasan Petra Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61769/telematika.v17i2.525

Abstract

Banana is one type of fruit that is rich in benefits. Bananas have a soft flesh texture. There are various sizes of bananas based on the type. The color and shape of bananas differentiate one type of banana from another. This research recognizes and classifies bananas based on their skin color by using digital image processing. The gray level co-occurrence matrix (GLCM) feature is an extraction technique commonly used to find features in an image. The classification technique in this study uses the k-nearest neighbors (KNN) algorithm. This study obtained the best accuracy of 76.6% at an angle of 0 degrees with a value of k = 1, 90% accuracy at an angle of 45 degrees with a value of k = 1, 86% accuracy at an angle of 90 degrees with a value of k = 1, and 73% accuracy at an angle of 135 degrees with a value of k = 5, 7, 9.
Sistem Informasi Geografis Pemetaan Permainan Tradisional di Indonesia dengan Rapid Application Development Berbasis Website Amini, Raissa; Abdullah, Atje Setiawan; Pradana, Aditya
Jurnal Telematika Vol. 17 No. 2 (2022)
Publisher : Yayasan Petra Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61769/telematika.v17i2.524

Abstract

Indonesia is one of the largest archipelagic countries in the world with a very diverse culture. One of them is a traditional game. Along with the times, traditional games began to be abandoned by society. Many traditional games in each region are still unknown to the public because the information is not managed and systematic. Therefore, it is necessary to develop a web-based geographic information system for mapping traditional games in Indonesia. Web development in this study uses the Rapid Application Development (RAD) method which aims to shorten the time with 4 phases (Requirements Planning, User Design, Construction and Cutover). The end result of this research is a website-based system with user and admin features. The main user feature is an interactive map of the spread of traditional games, while the admin feature is data management for traditional games, provinces and admin. The results of system testing with black-box testing are as expected. Testing with UEQ obtains a scale value above 2 which means positive and an excellent benchmark. From these results, it's known that the development of a web-based geographic information system mapping traditional games in Indonesia is feasible to use.
Matriks Evaluasi Risiko Penerapan IS/IT Menggunakan Standar ISO 31000:2018 (Studi Kasus: PT XYZ) Celesta, Ivana; Ismiati, Maria Bellaniar
Jurnal Telematika Vol. 17 No. 2 (2022)
Publisher : Yayasan Petra Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61769/telematika.v17i2.522

Abstract

PT XYZ is one of the largest trading companies in Palembang city. PT XYZ utilizes IS/IT to support its business processes. PT XYZ uses computers, LANs, servers, supported applications, and applications made by the IT team. IS/IT implementation at PT XYZ was not always smooth. PT XYZ had experienced problems, such as Wi-Fi problems, applications problems, not updated applications, and other human errors. PT XYZ has concerns that those problems will risk burdening the business processes in the company. The purpose of this research is to analyzee the risk of implementing IS/IT using the ISO 31000:2018 standard. All steps in IS/IT implementation risk management with ISO 31000:2018 standards have been  implemented well at PT XYZ. From the results of this study, there are 21 possible risks with the risk management option plan chosen by the company, 10% risk is acceptable, 57% risk can be mitigated, 29% risk must be avoided, and 5% risk will be shared for handling the risk. Handling this risk is expected to assist the company in dealing with IS/IT implementation risks that can occur at any time.
Knowledge Discovery in Database dengan Multivariate Linear Regression pada Sistem Pertanian Hidroponik Berbasis Internet of Things Gamaliel, Yoyok Yusman; Nugroho, Tunggul Arief; Aguskin, Lewinna C.
Jurnal Telematika Vol. 17 No. 2 (2022)
Publisher : Yayasan Petra Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61769/telematika.v17i2.542

Abstract

Sistem hidroponik bergantung pada suhu,  kelembapan, intensitas cahaya, nutrisi, dan pH air sebagai variabel penting dalam pertumbuhan tanaman. Pengembangan sistem pemantauan dan pengendalian variabel tersebut sudah banyak dilakukan, namun masih terbatas pada sistem pengendalian manual. Kalaupun sudah otomatis, masih menggunakan sistem terbuka dengan menggunakan nilai ambang sebagai pemicu respon sistem. Sistem tersebut tidak dapat melakukan koreksi pada keadaan yang diperlukan selain menunggu sampai nilai ambangnya tercapai. Di sisi lain, sistem adaptif mampu melakukan koreksi berdasarkan umpan balik keluaran sistem sehingga sistem menjadi lebih responsif terhadap perubahan yang terjadi. Penelitian ini mengusulkan untuk membangun sebuah model umpan balik dengan mencari hubungan kepekatan nutrisi sebagai variabel terikat dengan variabel pH, intensitas cahaya, kelembapan, dan suhu sebagai variabel bebas dengan metode Knowledge Discovery in Database dan analisis regresi linear berganda. Penelitian ini menghasilkan sebuah model matematis berupa persamaan linear multivariabel yang menyatakan hubungan antara variabel terikat dan variabel bebasnya menggunakan IBM Statistical Package for Social Sciences. Hasil akhir menunjukkan regresi linear berganda dengan F(116, 119) = 8,390, p-value 0,000 yang lebih kecil dari 0,05  di mana variabel bebas dapat memprediksisi secara signifikan dari variabel terikatnya dengan tingkat kesalahan yang ditunjukkan oleh tingkat kesalahan 5,6% dengan variabel Air_Temp memberikan kontribusi paling signifikan terhadap variabel terikat TDS dengan p-value 0,015.  

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