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Eko Fajar Cahyadi
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Jurnal INFOTEL
Published by Universitas Telkom
ISSN : 20853688     EISSN : 24600997     DOI : https://doi.org/10.20895/infotel.v15i2
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Jurnal INFOTEL is a scientific journal published by Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) of Institut Teknologi Telkom Purwokerto, Indonesia. Jurnal INFOTEL covers the field of informatics, telecommunication, and electronics. First published in 2009 for a printed version and published online in 2012. The aims of Jurnal INFOTEL are to disseminate research results and to improve the productivity of scientific publications. Jurnal INFOTEL is published quarterly in February, May, August, and November. Starting in 2018, Jurnal INFOTEL uses English as the primary language.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 473 Documents
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Linear polarization on radar cross section measurement for tank miniature Muhammad Panji Praja; Wahyu Pamungkas
JURNAL INFOTEL Vol 14 No 4 (2022): November 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i4.782

Abstract

The use of radar technology, especially for the interests of state defense and security, has become the focus of development launched by the government of Indonesia. Equipment and vehicles in the defense and security sector are the top priority to be detected using radar technology. When a radar transmitter transmits its signal towards a target, some part of the signal will bounce in all directions or scattering, including to the receiver and some will be absorbed by the radar target. The radar target is assumed to have a small size, with the aim of focusing more on the beamwidth of the radar transmitting antenna to the target. This research has a focus on measuring radar targets in the form of defense equipment in the form of tanks made in miniature which are smaller than their original forms. The selected antenna polarization uses linear polarization with vertical and horizontal types. Each polarization will be compared with the value of the radar cross section (RCS) in the combination of the same polarization and different polarization. The measurement results show that the largest RCS value is obtained at an angle of 200° by 13 with a combination of Horizontal-Horizontal polarization and the smallest RCS value is obtained at an angle of 50° by -4 with a combination of Horizontal-Vertical polarization. With the results of these measurements, it can be concluded that the measurement of RCS for defense and security equipment can be carried out by measuring the miniature of the defense and security equipment
Detection of learning styles with prior knowledge data using the SVM, K-NN and Naïve Bayes algorithms Muhammad Said Hasibuan; RZ Abdul Aziz
JURNAL INFOTEL Vol 14 No 3 (2022): August 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i3.788

Abstract

The two types of automatic learning style detection approaches are data driven (DD) and literature based (LB). Both methods of automatic learning style detection have advantages over traditional learning style detection methods because they use external data sources, such as forums, quizzes and views of teaching materials, that are more accurate than the questionnaires used in traditional styles of detection. The results of automatic detection, on the other hand, do not always reflect learning styles. This paper presents a learning style recognition method that uses data from the learner’s internal source, namely prior knowledge, to overcome these challenges. Prior knowledge is proposed because it is based on the learner’s knowledge or skills, which better reflect the learner’s characteristics, rather than on the learner’s behaviour, which tends to be dynamic. By using past knowledge, this paper presents a method for detecting automatic learning patterns. The learning style detection framework is unique in that it consists of three stages: prior knowledge question development, prior knowledge measurement and learning style detection using the Support Vector Machine (SVM), Naïve Bayes and K-Nearest Neighbour (K-NN) classification methods. The accuracy of learning style detection using prior knowledge data was higher than detection results using behavioural data or hybrid data (prior knowledge + behaviour) in this study
Utilization of the COBIT 2019 framework to identify the level of governance in internet services Sandhy Fernandez; Muhammad Imanullah; M. Yoka Fathoni; Pahrizal Pahrizal
JURNAL INFOTEL Vol 14 No 3 (2022): August 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i3.791

Abstract

Information and communication technology services at the University of Muhammadiyah Bengkulu are IT services that support IT needs in all sectors. Of all the IT services that have been implemented at this institution, there is one very crucial service, namely the internet connection service, where this internet connection service is needed by all existing information technology access. In managing this internet connection, a standardized feasibility calculation has not been carried out which results in it not being in accordance with the institutional business needs. Information technology governance is a process that is able to manage investment decisions related to Information Technology within the company in order to achieve the company's current and future needs. To achieve standardized governance, this research uses the COBIT 2019 framework which is the latest version of the development results from COBIT 5. The purpose of this study is to identify the extent to which the value of existing processes for internet connection services is currently and the value of the process achievement that refers to the standard. COBIT 2019 by calculating the maturity level value which represents the level of performance on internet connection services. From the results of the 2019 COBIT Design, LTIK Muhammadiyah Bengkulu University, it is known that those who score above 80 or must reach Capability Level 4 are APO13, BAI10, DSS02, DSS03 and DSS04, for a value of 100 there is APO12.
A deep learning model to detect the brain tumor based on magnetic resonance images Kelvin Leonardi Kohsasih; Muhammad Dipo Agung Rizky; Rika Rosnelly; Willy Wira Widjaja
JURNAL INFOTEL Vol 14 No 3 (2022): August 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i3.793

Abstract

Deep learning techniques have been widely used in everything from analyzing medical information to tools for making medical diagnoses. One of the most feared diseases in modern medicine is a brain tumor. MRI is a radiological method that can be used to identify brain tumors. However, manual segmentation and analysis of MRI images is time-consuming and can only be performed by a professional neuroradiologist. Therefore automatic recognition is required. This study propose a deep learning method based on a hybrid multi-layer perceptron model with Inception-v3 to predict brain tumors using MRI images. The research was conducted by building the Inception-v3 and multilayer perceptron model, and comparing it with the proposed model. The results showed that the hybrid multilayer perceptron model with inception-v3 achieved accuracy, recall, precision, and fi-score of 92%. While the inception-v3 and multilayer perceptron models only obtained 66% and 56% accuracy, respectively. This research shows that the proposed model successfully predicts brain tumors and improves performance
Classification of diabetic foot ulcer using convolutional neural network (CNN) in diabetic patients Mawaddah Harahap; Sai Kumarani Anjelli; Widy Anggun M. Sinaga; Ryan Alward; Junio Fegri Wira Manawan; Amir Mahmud Husein
JURNAL INFOTEL Vol 14 No 3 (2022): August 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i3.796

Abstract

The image of chronic wounds on human skin tissue has the similar look in shape, color and size to each other even though they are caused by different diseases. Diabetic ulcer is a condition where peripheral arterial blood vessels are disrupted due to hyperglycemia in people with diabetes mellitus. This research was aimed to analyze the accuracy of the Convolutional Neural Network algorithm in classifying diabetic ulcer disease with a transfer learning approach based on the appearance of the image of the wound on the sole in people with diabetes mellitus. By applying the transfer learning approach, the results showed that the Resnet152V2 model achieved the best accuracy value of 0.993 (99%), precision of 1.00, recall of 0.986, F1-Score of 0.993 and Support of 72. Therefore, the ResNet152V2 model was highly considered for classifying diabetic ulcer in patients with diabetes melitus.
Optimal planning on-grid power system for 2200VA household sector by considering economic criteria Bandiyah Sri Aprillia; Kevin Octavianov Abdurohman
JURNAL INFOTEL Vol 14 No 4 (2022): November 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i4.799

Abstract

This study discusses efforts to model solar grid systems by considering economic and regulatory factors in system design. The Hybrid Optimization of Multiple Electric Renewables software is used to evaluate the economic viability of the on-grid PV technology that provides 2200VA of power in the household sector. Optimal costs are assessed from Net Present Cost (NPC) which is a cost analysis to determine investment feasibility based on interest rates and fees in the coming years and Break Even Point (BEP) which is the point where expenditure and income are balanced. The simulation results show that in the project period of 25 years the installation of on grid PV power system has an NPC that is 20% lower than the PLN network power supply with a BEP value lower than 15 years. The lowest NPC and BEP values were obtained from the installation of 7 PV panels with 300Wp capacity connected to the PLN network. This system is able to save electricity costs by IDR 23,060,260 compared to the use of 100% electricity from the State Electricity Enterprise grid. This system is worthy of being an economic tool for providing electricity services throughout the year and meeting rising energy demands in the household sector.
Implementation of line detection self-driving car using HSV method based on raspberry pi 4 Florentinus Budi Setiawan; Eric Pratama Putra; Leonardus Heru Pratomo; Slamet Riyadi
JURNAL INFOTEL Vol 14 No 4 (2022): November 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i4.801

Abstract

With the development of technology, especially in the field of robotics, daily human activities can be carried out with artificial intelligence. One of the artificial intelligence technologies that help ease the burden on humans, especially in terms of driving, is self-driving cars. In this case, self-driving cars have several methods with GPS systems, radar, lidar, or cameras. In this study, a self-driving car system was designed on a navigation path model using a street mark detector with an intermediary sensor, namely a camera as a vision sensor. This self-driving car system uses a prototype called an autonomous car to walk on a path which is a self-driving car navigation direction based on the detected line to be able to detect camera sensors that process line images from the camera using HSV. method. In this study, a self-driving car system has been successfully designed using a microcontroller, namely Raspberry Pi 4 as a programmer and L298n motor driver, BTS7960 as a driver for a self-driving car. The Raspberry Pi 4 sends real-time images through the camera as a vision sensor which then detects a line to navigate the movement of this self-driving car. By using image processing, the resulting level of precision can reach the average value according to the direction of the self-driving car.
A study of secure communication scheme in MQTT: TLS vs AES cryptography Favian Dewanta; Baiq Yuniar Yustiarini; Bangun Indrakusumo Radityo Harsritanto
JURNAL INFOTEL Vol 14 No 4 (2022): November 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i4.807

Abstract

The Internet of Things (IoT) technology requires low latency communications. One of the lightweight protocols in the IoT is the MQTT protocol. However, the MQTT protocol is not equipped with the appropriate security mechanism. As a consequence, the MQTT messages are easily eavesdropped and modified by the attackers. This research studies the use of AES cryptography-based communication scheme against the TLS-based communication scheme, which can be used to create end-to-end secure communication channels from the MQTT publishers to the MQTT subscribers. Experimental results show that the TLS-based communication scheme possess the highest cost in terms of communication delay and network cost among all schemes in the experiment. Eventually, the AES-based MQTT communication scheme is more appropriate for IoT environments because of its communication delay and network cost, which are considerably equal to the plaintext-based MQTT communications.
Analisis Kebutuhan dan Perancangan Antarmuka Aplikasi Kolaborasi Penelitian Menggunakan User Experience Design Process Abdul Karim Batubara; Franindya Purwaningtyas; Raissa Amanda Putri
JURNAL INFOTEL Vol 14 No 4 (2022): November 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i4.808

Abstract

In conducting collaborative research involving more than one researcher, a system is needed that can improve the performance of researchers in various ways. This study captures the challenges faced by researchers in collaborative research and defines the requirements for collaborative research systems needed to address these challenges. From the analysis of the needs obtained, the researchers designed a collaboration application interface. Collaboration applications are needed to facilitate communication between researchers, search for articles, share publications, and other applications. The distribution of questionnaires and interviews were conducted to obtain the requirements needed for the development of a collaboration system. This research informs system developers to support the development of collaborative systems. In this study, the level of need for a research collaboration system in the university environment will be analyzed along with an analysis of its needs and the design of the user interface.
Performance improvement of the shredder machines using IoT-based overheating controller feature Emy Setyaningsih; Satriawan Dini Hariyanto; Dewi Wahyuningtyas; Samuel Kristiana
JURNAL INFOTEL Vol 14 No 4 (2022): November 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i4.812

Abstract

Plastic shredding plays an essential role in the plastic waste recycling process. Plastic waste can be enumerated manually using a knife and scissors or a crushing machine. The use of a shredder machine to chop plastic waste, especially those whose primary drive is an electric motor, often experience problems. The main obstacle is the need for high power consumption (more than 1 HP) and the reliability of the drive elements against overheating. Overheating can damage the electrical circuit components that connect the power supply to electric motors, especially AC electric motors, causing a lot of loss in terms of performance and user safety. Internet of Things (IoT) technology is widely used to minimize energy resources by automating various systems. This study proposed the design of a shredder machine with a control system using IoT technology integrated with a shredder and conveyor machine designed using the Quantity Functional Diagram (QFD) method. The advantages of the shredder machine presented in this study are that it can operate at home using electric power, is more flexible, and minimizes overheating with an IoT-based overheating controller. This research succeeded in keeping the temperature of the electric motor of the shredder machine stable at a temperature of 40℃-55℃. The average delay of the IoT module to control on and off the shredder machine design system in this study is 219 ms and 200 ms, which are in the good category according to the Telecommunications and Internet Protocol Harmonization Over Network (TIPHON) standard.

Page 32 of 48 | Total Record : 473

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