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Telematika : Jurnal Informatika dan Teknologi Informasi
Published by Universitas Pembangunan Nasional Veteran Yogyakarta
ISSN : 1829667X     EISSN : 24609021     DOI : 10.31315
Core Subject : Engineering,
Electrical & Electronics Engineering
Arjuna Subject : -
Articles 264 Documents
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Serious Game Design Of Sound Identification For Deaf Children Using The User Centered Design Fadmi Rina; Anis Susila Abadi; Sholeh Huda
Telematika Vol 19, No 3 (2022): Edisi Oktober 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i3.7979

Abstract

The loss of hearing function in deaf children causes deaf children to experience obstacles in listening to the sound of objects or sounds of language as children generally hear. Therefore, it is necessary to optimize the hearing function of deaf children. The Development of Sound and Rhythm Perception Communication (PKPBI) is a special program to practice understanding sound so that the remaining hearing of deaf children can be maximized. So far, the PKPBI learning media at the sound identification stage used by the Karnna Manohara Yogyakarta Special School teacher is the keyboard. However, the keyboard has weaknesses such as the collection of sounds on the keyboard is very limited. Another problem is the Covid 19 pandemic, PKPBI learning is less than optimal due to limited face-to-face meetings. The purpose of this research is to design a serious game as a learning medium for sound identification for deaf children that can be used in the classroom and at home. The method used to design serious sound identification games is User Centered Design (UCD). Based on the research results, the design of this serious game can be developed into a serious game application to practice sound identification in deaf children.
Mask Detection System Using Convolutional Neural Network Method on Surveillance Camera I Made Dwi Putra Asana; Gede Aldhi Pradana; I Putu Susila Handika; Santi Ika Murpratiwi
Telematika Vol 19, No 2 (2022): Edisi Juni 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i2.7246

Abstract

The Covid-19 has been an epidemic that has taken the world by storm since the beginning of 2020. This Covid-19 outbreak can spread easily through the air. Because Covid-19 can transmit easily, the government implements new behavior based on an adaption to develop a clean and healthy lifestyle which is often called the new normal. One way to live the new normal is to wear a mask when leaving the house. To help increase public awareness in using masks, numerous technology- based studies have been carried out. This article explain an application using the python programming language that applies digital image processing in terms of detecting the use of masks using Deep Learning with the Convolutional Neural Network (CNN) method to classify data that has been labeled using the supervised learning method. In designing this CNN architectural model, a total of 2110 images of people wearing and without wearing masks will be used, this dataset will be divided into 2 parts, with a rate of 8020, where 80 of the dataset will be used as training data, 20 is used as validation data. In testing the model by taking a total of 100 images with a 5050 ratio between face images using masks and not using masks tested using a confusion matrix, it produces 97% of an accuracy rate, 100% of precision rate, and 94% of recall in recognizing facial images that use masks and don't use masks 
IMPROVEMENT OF HANDWRITING JAVASCRAFT IMAGE QUALITY AND SEGMENTATION WITH CLOSING MORPHOLOGY AND ADAPTIVE THRESHOLDING METHODS Arif Riyandi; Shofwatul 'Uyun
Telematika Vol 19, No 3 (2022): Edisi Oktober 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i3.7564

Abstract

Tujuan: Perbaikan kualitas citra yang putus-putus atau terlalu tipis pada aksara jawa tulisan tangan menggunakan operasi morfologi dan mengumpulkan dataset secara otomatis dari proses cropping dengan metode Connected Component Labeling.Perancangan/metode/pendekatan: Menerapkan metode operasi morfologi dalam perbaikan citra putus-putus dan metode connected component labeling untuk membantu cropping dalam mengumpulkan dataset secara otomatis.Hasil: Hasil uji coba dengan beberapa kernel yang berbeda antara operasi morfologi opening dan operasi morfologi closing terpilih operasi morfologi closing dengan kernel (45,45) pada bagian dilasi dan kernel (37,37) pada bagian erosi. Hasil dari segmentasi yang terpilih lanjut ke cropping dengan bantuan metode connected component labeling dan klasifikasi convolutional neural network yang diterapkan untuk mengklasifikasi citra aksara jawa dengan baik. Akurasi yang diperoleh adalah sebesar 94,27 % pada proses klasifikasi menggunakan data training dan akurasi 84,53% pada proses klasifikasi menggunakan data validasi.Keaslian/ state of the art: Pengujian dari operasi morfologi opening dan operasi morfologi closing dengan masing-masing 6 kernel berbeda pada proses segmentasi citra aksara jawa untuk perbaikan kualitas citra. Pengumpulan dataset secara otomatis dari hasil cropping citra dengan bantuan metode connected component labeling dan hasil dataset yang terkumpul diklasifikasi untuk masing-masing citra aksara jawa.
Feasibility Analysis of Information Technology Investment Using Cost Benefit Analysis Method Riza Prapascatama Agusdin; Naufal Nur Aidil
Telematika Vol 19, No 2 (2022): Edisi Juni 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i2.7598

Abstract

Objective: One of the strategies that companies can do to survive amid fierce business competition is to invest in IT. Currently all companies need to invest in IT to improve company performance better but usually the budget costs that must be incurred by companies to make IT investments are very large. Therefore, it is necessary to analyze the feasibility of IT investment. This study aims to determine how much the costs incurred and the benefits obtained after creating a Social Media Analysis information system and also to find out whether the Social Media Analysis information system development project is feasible or not.Methods: This study uses the Cost Benefit Analysis method where the method compares the components of costs and benefits which are then recommended for a policy on investment projects. The Cost Benefit Analysis method is supported by several calculation criteria such as Net Present Value (NPV), Payback Period (PP), Return On Investment (ROI), and Benefit Cost Ratio (BCR).Results: The results showed that the NPV for 5 years was Rp. 300,138,606, PP was 2 years and 11 months, ROI was 9.03%, and BCR was 1.08. From the results of this study, it can be concluded that the Social Media Analysis information system investment project is feasible to continue.
Implementation of ERP in AKIP Evaluation System: A Case Study at The Ministry of Maritime Affairs And Fisheries Doni Wiryadinata; Eko Sediyono; Aris Puji Widodo
Telematika Vol 19, No 3 (2022): Edisi Oktober 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i3.7949

Abstract

Evaluasi kinerja pada instansi pemerintah merupakan aktivitas analisis yang sistematis, pemberian nilai, atribut, dan pengenalan permasalahan, serta mempersembahkan solusi atas masalah yang ditemukan guna meningkatkan akuntabilitas dan peningkatan kinerja instansi pemerintah. Untuk pemerintahan di Indonesia, penilaian atas akuntabilitas kinerja merupakan sebuah cerminan organisasi dalam merepresentasikan kinerjanya, sehingga tidak mengherankan jika setiap instansi pemerintah berupaya semaksimal mungkin untuk meningkatkan kinerjanya sesuai dengan kriteria yang ditetapkan oleh tim evaluator. Baru-baru ini, MENPAN RB merevisi evaluasi AKIP ke dalam Peraturan MENPAN RB Nomor 88 Tahun 2021 dengan banyak perubahan yang cukup fundamental. Hal ini berdampak pada perubahan strategi organisasi untuk mengembangkan evaluasi evaluasi guna dapat memprediksi nilai akuntabilitas kinerja dengan bantuan teknologi informasi berbasis ERP, seperti contoh kasus yang terjadi pada Kementerian Kelautan dan Perikanan. Penelitian ini merupakan studi kasus bertujuan untuk mengetahui bagaimana penerapan ERP pada pelaksanaan evaluasi AKIP yang dijalankan oleh Inspektorat Jenderal Kementerian Kelautan dan Perikanan mulai dari dukungan infrastruktur dan jaringan teknologi informasi yang digunakan, tahap perancangan dan pengembangan perangkat lunak, serta implementasinya dapat digunakan pada pelaksanaannya AKIP pada Tahun 2022. seperti contoh kasus yang terjadi pada Kementerian Kelautan dan Perikanan. Penelitian ini merupakan studi kasus bertujuan untuk mengetahui bagaimana penerapan ERP pada pelaksanaan evaluasi AKIP yang dijalankan oleh Inspektorat Jenderal Kementerian Kelautan dan Perikanan mulai dari dukungan infrastruktur dan jaringan teknologi informasi yang digunakan, tahap perancangan dan pengembangan perangkat lunak, serta implementasinya dapat digunakan pada pelaksanaannya AKIP pada Tahun 2022. seperti contoh kasus yang terjadi pada Kementerian Kelautan dan Perikanan. Penelitian ini merupakan studi kasus bertujuan untuk mengetahui bagaimana penerapan ERP pada pelaksanaan evaluasi AKIP yang dijalankan oleh Inspektorat Jenderal Kementerian Kelautan dan Perikanan mulai dari dukungan infrastruktur dan jaringan teknologi informasi yang digunakan, tahap perancangan dan pengembangan perangkat lunak, serta implementasinya dapat digunakan pada pelaksanaannya AKIP pada Tahun 2022.
Classification of Damaged Road Images Using the Convolutional Neural Network Method Arif Riyandi; Tony Widodo; Shofwatul Uyun
Telematika Vol 19, No 2 (2022): Edisi Juni 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i2.6460

Abstract

Objective: Automatic identification is carried out with the help of a tool that can take an image of road conditions and automatically distinguish the types of road damage, the location of road damage in the image and calculate the level of road damage according to the type of road damage.Design/method/approach: Identification of damaged roads usually uses manual RCI system which requires high cost. In this study, a comparison framework is proposed to determine the performance of the image pre-processing model on the image classification algorithm.Results: Based on 733 image data classified using the CNN method from 4 models of pre-processing stages, it can be concluded that training from grayscale images produces the best level of accuracy with a training accuracy value of 88% and validation accuracy reaching 99%.Authenticity/state of the art: Testing of 4 pre-processing models against the classification algorithm used as a comparison resulted in the best algorithm/method for managing road images.
Conv-Tire: Tire Condition Assessment using Convolutional Neural Networks Latifah Listyalina; Irawadi Buyung; Agus Qomaruddin Munir; Ikhwan Mustiadi; Dhimas Arief Dharmawan
Telematika Vol 19, No 3 (2022): Edisi Oktober 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i3.7697

Abstract

Purpose: In this study, the authors designed an algorithm based on convolutional neural networks that can automatically assess tire quality.Design/methodology/approach: The proposed algorithm is built through several stages as follows. In the first stage, the tire images, which are the input of the designed algorithm, are acquired. Further, the acquired images are divided into two sets, namely training and testing sets. The training set contains tire images used in the training phase of several convolutional neural networks (CNN) architectures such as ResNet-50, MobileNetV2, Inception V3, and DenseNet-121. The training phase is carried out in a number of epochs, and at each epoch, the cross entropy loss function will be calculated which expresses the performance of the CNN architecture in classifying tire images. For this reason, the training stage requires a label or reference that shows the feasibility of the tires displayed in each image.Findings/result: In the testing phase, trained CNN architectures are used to classify tire images from the test set. Classification performance in the test set is also expressed in terms of cross-entropy loss function value. In addition, the accuracy value has also been calculated which shows the percentage of the number of tire images that are successfully classified correctly to the total number of tire images in the test set, namely the DenseNet-121 model has the best accuracy of 92.62%.Originality/value/state of the art: Given the high accuracy achieved by our algorithm, this work can be used as a reference by other researchers, specifically to benchmark their tire quality classification methods developed in the future.
Implementation Of The Double Exponential Smoothing Method In Determining The Planting Time In Strawberry Plantations Fadly Shabir; Ahmad Irfan Abdullah; Billy Eden William Asrul; Sitti Alifah Amilhusna Nur
Telematika Vol 19, No 2 (2022): Edisi Juni 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i2.7544

Abstract

Purpose: This research aims to provide recommendations for planting season based on predictions of rainfall, air temperature, and wind speed based on the website.Design/methodology/approach: This study implemented the Double exponential smoothing to predict rainfall, air temperature, and monthly wind speed one year in the future using past data.Findings/result: This study has succeeded in providing recommendations for planting season. Based on the results of the accuracy calculation between the prediction results and the actual data using the Mean Absolute Percetage Error (MAPE), each has a forecast error value of 30.69% for rainfall, 0.63% air temperature, and 5.89% wind speed. Originality/value/state of the art: Research related to the application of Double exponential smoothing to determine the planting period. Based on the results of the accuracy calculation between the prediction results and the actual data using Mean Absolute Percetage Error (MAPE), this has never been done in previous studies.
Analysis of the usability quality of vocational high school websites using a user satisfaction approach Rochmat Husaini; Bagus Muhammad Akbar; Ahmad Taufiq Akbar
Telematika Vol 19, No 3 (2022): Edisi Oktober 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i3.7988

Abstract

Purpose: knowing the extent to which aspects that affect the level of user/visitor satisfaction in using the website.methodology: the method used is usability approach to measure website visitor satisfaction using Structural Equation Model (SEM) theory and SmartPLS v.3.2.9 software.Findings/result: found several variables that influence user satisfaction, and found variables that had no effect, even having a negative dependency value. In addition, it also produces priority recommendations for website improvement to meet user satisfaction.Originality: this study uses the palmer model usability approach [13] and the structural equation model. Which is different from previous research using the webqual method and Importance Performance Analisys [3]
Knowledge Management In Instiki E-Learning To Increase Student Learning Satisfaction Aniek Suryanti Kusuma; Ketut Agustini; I Gde Wawan Sudatha; I Wayan Sukra Warpala
Telematika Vol 19, No 2 (2022): Edisi Juni 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i2.7000

Abstract

Purpose: The use of the concept of knowledge management can manage the knowledge of the teacher or lecturer and then it can be conveyed to the studentsDesign/methodology/approach: Knowledge Management SystemFindings/result: The application of the Knowledge Management System at the INSTIKI LMS was able to increase student learning satisfaction. The results of the questionnaire assessment show that student learning satisfaction increases after implementing INSTIKI e-learning, the average value of studentOriginality/value/state of the art: Implementation of Knowledge Management System on INSTIKI campus

Page 23 of 27 | Total Record : 264

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