Jurnal INFOTEL
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.
Articles
473 Documents
<![CDATA[Planning of Indoor Femtocell Network for LTE 2300 MHz on Railways Carriages Using Radiowave Propagation Simulator 5.4 ]]>
<![CDATA[Adisti Nabilah Naufallia]]>;
<![CDATA[Anggun Fitrian Isnawati]]>;
<![CDATA[Khoirun Ni’amah]]>
<![CDATA[ JURNAL INFOTEL Vol 13 No 1 (2021): February 2021 ]]>
Publisher : <![CDATA[LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO ]]>
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DOI: 10.20895/infotel.v13i1.542
<![CDATA[The indoor communication system is a system to solve the problem of weak signals received by placing a Femtocell Access Point (FAP) indoor area. The design of an indoor cellular communication network system is carried out using the Radiowave Propagation Simulator 5.4. The parameters observed were Received Signal Level (RSL) and Signal to Interface Ratio (SIR). The case study is the passenger carriage of the executive, business and economy passenger class. The research includes link budget calculations based on coverage and capacity by considering the type of train carriage material and train passenger capacity. The calculation results based on capacity obtained 1 FAP for executive and business class train passenger cars, while economy class train passenger cars obtained 2 FAP. The best scenario for executive class namely scenario 1A, the receiver gets average RSL of approximately -32.26 dBm and SIR of 0 dB. The best scenario for business class namely scenario 2A, the receiver gets average RSL of approximately -32.57 dBm and SIR of 0 dB. The best scenario for economy class namely scenario 3A, the receiver gets average RSL of approximately -29.80 dBm and the receiver gets average SIR of approximately 6.97 dB]]>
<![CDATA[Navigating Bitcoin Panic-Selling using Linear Approach ]]>
<![CDATA[Agi Prasetiadi]]>
<![CDATA[ JURNAL INFOTEL Vol 12 No 4 (2020): November 2020 ]]>
Publisher : <![CDATA[LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO ]]>
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DOI: 10.20895/infotel.v12i4.543
<![CDATA[COVID-19 affects significant human activity around the globe, including Bitcoin prices. The Bitcoin price is well known for its volatility, so it is not a big shocker when the panic-selling occurs during the pandemic. However, the mechanism to cope with these breakouts, especially the bearish one, is contentious. The experts give numerous pieces of advice with different conclusions in the end. It is also the same with Machine Learning. Various kernels show different results regarding how the price will move. It depends on the window size, how the data is being preprocessed, and the algorithm used. This paper inspects the best combination that various machine learning can offer with a linear approach to navigate the price prediction based on its depth interval, window size until the algorithms themselves. This paper also proposed a new approach to seeing the prediction range called s-steps ahead prediction using a linear model. The result shows that simple machine learning can herd 99.715% profit even during the bearish breakout.]]>
<![CDATA[Design and Implementation of Boost Voltage Doubler for Maximum Power Point Tracker Application Using STM32F1038CT ]]>
<![CDATA[Laras Triefena]]>;
<![CDATA[Leonardus H. Pratomo]]>;
<![CDATA[Slamet Riyadi]]>;
<![CDATA[F. Budi Setiawan]]>
<![CDATA[ JURNAL INFOTEL Vol 12 No 4 (2020): November 2020 ]]>
Publisher : <![CDATA[LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO ]]>
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DOI: 10.20895/infotel.v12i4.545
<![CDATA[Photovoltaic is an absolute device in the solar power plant system. A DC-DC converter with a maximum power point tracker (MPPT) algorithm is required to obtain the maximum power of photovoltaic. In general, solar power plant applications used a two-stage converter: the first stage is boosting DC-DC converter, and the second stage is the multilevel Inverter. Boost DC-DC converter is usually implemented singly, which causes many boost DC-DC converters to be implemented in a solar power plant application. The voltage doubler type boost DC-DC converter proposed in this paper is to simplify the circuit so that there is only one converter in a solar power plant application. This converter principle combines two conventional boost converters, which are integrated into one so that the power circuit and control circuit form become simpler. This proposal is verified through computation simulation and hardware design using the STM32F1038CT microcontroller for the final verification. The efficiency algorithm of the simulation is 99.7%, and the hardware experimental is 85.65%]]>
<![CDATA[Object Position Estimation based on Dual Sight Perspective Configuration ]]>
<![CDATA[Dion Setiawan]]>;
<![CDATA[Maulana Ifdhil Hanafi]]>;
<![CDATA[Indra Riyanto]]>;
<![CDATA[Akhmad Musafa]]>
<![CDATA[ JURNAL INFOTEL Vol 13 No 2 (2021): May 2021 ]]>
Publisher : <![CDATA[LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO ]]>
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DOI: 10.20895/infotel.v13i2.546
<![CDATA[Development of the coordination system requires the dataset because the dataset could provide information around the system that the coordination system can use to make decisions. Therefore, the capability to process and display data-related positions of objects around the robots is necessary. This paper provides a method to predict an object’s position. This method is based on the Indoor Positioning System (IPS) idea and object position estimation with the multi-camera system (i.e., stereo vision). This method needs two input data to estimate the ball position: the input image and the robot’s relative position. The approach adopts simple and easy calculation technics: trigonometry, angle rotations, and linear function. This method was tested on a ROS and Gazebo simulation platform. The experimental result shows that this configuration could estimate the object’s position with Mean Squared Error was 0.383 meters. Besides, R squared distance calibration value is 0.9932, which implies that this system worked very well at estimating an object’s position.]]>
<![CDATA[Accuracy Analysis of K-Nearest Neighbor and Naïve Bayes Algorithm in the Diagnosis of Breast Cancer ]]>
<![CDATA[Irma Handayani]]>;
<![CDATA[Ikrimach Ikrimach]]>
<![CDATA[ JURNAL INFOTEL Vol 12 No 4 (2020): November 2020 ]]>
Publisher : <![CDATA[LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO ]]>
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DOI: 10.20895/infotel.v12i4.547
<![CDATA[In the medical field, there are many records of disease sufferers, one of which is data on breast cancer. An extraction process to fine information in previously unknown data is known as data mining. Data mining uses pattern recognition techniques such as statistics and mathematics to find patterns from old data or cases. One of the main roles of data mining is classification. In the classification dataset, there is one objective attribute or it can be called the label attribute. This attribute will be searched from new data on the basis of other attributes in the past. The number of attributes can affect the performance of an algorithm. This results in if the classification process is inaccurate, the researcher needs to double-check at each previous stage to look for errors. The best algorithm for one data type is not necessarily good for another data type. For this reason, the K-Nearest Neighbor and Naïve Bayes algorithms will be used as a solution to this problem. The research method used was to prepare data from the breast cancer dataset, conduct training and test the data, then perform a comparative analysis. The research target is to produce the best algorithm in classifying breast cancer, so that patients with existing parameters can be predicted which ones are malignant and benign breast cancer. This pattern can be used as a diagnostic measure so that it can be detected earlier and is expected to reduce the mortality rate from breast cancer. By making comparisons, this method produces 95.79% for K-Nearest Neighbor and 93.39% for Naïve Bayes]]>
<![CDATA[A User Recommendation Model for Answering Questions on Brainly Platform ]]>
<![CDATA[Puji Winar Cahyo]]>;
<![CDATA[Kartikadyota Kusumaningtyas]]>;
<![CDATA[Ulfi Saidata Aesyi]]>
<![CDATA[ JURNAL INFOTEL Vol 13 No 1 (2021): February 2021 ]]>
Publisher : <![CDATA[LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO ]]>
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DOI: 10.20895/infotel.v13i1.548
<![CDATA[Brainly is a Community Question Answer (CQA) application that allows students or parents to ask questions related to their homework. The current mechanism is that users ask questions, then other users who are in the same subject interest can see and answer it. As a reward for answering questions, Brainly gives points. The number of points varies by question. The greater of total points users have, Brainly will automatically display them in the smartest user leaderboard on the site's front page. But sometimes, some users do not have good activity in answering questions. Thus, it is possible to have an urgent question that has not been answered by anyone. This study implements Fuzzy C-Means cluster method to improve Brainly's feature regarding the speed and accuracy of answers. The idea is to create student clusters by utilizing the smartest students' leaderboard, subjects interest, and answering activities. The stages applied in this research started with Data Extraction, Preprocessing, Cluster Process, and User Recommender. The optimal number of clusters in the answerer recommendation in the Brainly platform is 2 clusters. The value of the fuzzy partition coefficient for two clusters reached 0.97 for Mathematics and 0.93 for Indonesian. Meanwhile, the results of the recommendations were influenced by answer ratings. Many numbers of the answer are not given rating because the possibility of the answers are not appropriate or user's insensitivity in giving ratings.]]>
<![CDATA[Rain Effect to A 60 GHz Broadband Wireless System’s Performance: Study Case In Purwakarta ]]>
<![CDATA[Setyowati, Endah]]>;
<![CDATA[Suranegara, Galura Muhammad]]>;
<![CDATA[Ichsan, Ichwan Nul]]>
<![CDATA[ JURNAL INFOTEL Vol 13 No 1 (2021): February 2021 ]]>
Publisher : <![CDATA[LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO ]]>
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DOI: 10.20895/infotel.v13i1.556
<![CDATA[Nowadays, world wide telecommunication researchers are developing 5G technology. One of most important key technology in 5G is Milimeter-Wave (mmWave). This study measure 60 GHz broadband wireless system performance because of it’s promising potentials. However, the use of these frequencies is quite sensitive to rain that resulting an atenuation in the channel. Therefore, this study proposes two schemes to address the problem. The first scheme is the use of QAM modulation (Quadrature Amplitude Modulation) and the second scheme is an addition of LDPC (Low Density Parity Check) code techniques. From the results of this study, by using 4-QAM modulation and LDPC coderate 1/2, the broadband wireless system’s performance on the second scheme is better compared to the first scheme with 8.33 dB Signal to Noise Ratio (SNR) value to provides BER (Bit Error Rate) 10-4]]>
<![CDATA[Improved RSSI-based path-loss model for indoor positioning and navigation in LabVIEW using trilateration ]]>
<![CDATA[Dzata Farahiyah]]>;
<![CDATA[Afrizar Fikri Reza]]>
<![CDATA[ JURNAL INFOTEL Vol 13 No 3 (2021): August 2021 ]]>
Publisher : <![CDATA[LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO ]]>
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DOI: 10.20895/infotel.v13i3.600
<![CDATA[Indoor positioning and navigation now contribute in many applications to track and direct people inside the building. The popular trilateration technique is utilized to detect user’s position through three access point of Bluetooth low energy. However, received signal from Bluetooth has insignificancy due to the noise, multipath, fading or other radio propagation. A study of received signal characteristics in specific indoor locations must be considered to predict and improve the accuracy of estimation. In this case, the adjustment of raw received signal readings is essential. we extracted linear regression model by compare between raw and analytical value of received signal power. Then, utilizing the corrected received signal, finding the best suitable path loss exponent model is required in order to minimize position estimation error. The last step is applying the additional model and the chosen path-loss on LabVIEW as a mean to visualize position and navigation system. The result yield that the new model gives lower error on 2 out of 3 access points. The corresponding path loss exponent n = 2.1 is selected to comply with the indoor environment in this case. The lowest RMSE yields 1.24 and considered as a good level of accuracy. The Navigation system worked well providing route to the desired location in the Laboratory.]]>
<![CDATA[Requirements Engineering of Village Innovation Application Using Goal-Oriented Requirements Engineering (GORE) ]]>
<![CDATA[Condro Kartiko]]>;
<![CDATA[Ariq Cahya Wardhana]]>;
<![CDATA[Wahyu Andi Saputra]]>
<![CDATA[ JURNAL INFOTEL Vol 13 No 2 (2021): May 2021 ]]>
Publisher : <![CDATA[LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO ]]>
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DOI: 10.20895/infotel.v13i2.602
<![CDATA[The delay in the absorption of village funds from the central government to the village government is due to the village government's difficulty preparing village development innovation programs. The innovation tradition will grow if the cycle of transformation of knowledge and acceptable practices from one village to another, especially villages with similar conditions and problems, can run smoothly. For the process of exchanging knowledge and experiences between villages to run smoothly, it is necessary to codify best practices in a structured, documented, and disseminated manner. This research aims to design an application that functions as a medium for sharing knowledge about the use of village funds through government innovation narratives. The application is expected to become a reference for villages to carry out innovative practices by conducting replication studies and replicating acceptable practices that other villages have done. Therefore, it is necessary to have a system requirements elicitation method that can explore the village's requirements in sharing knowledge so that the resulting system is of high quality and by the objectives of being developed. There are several Goal-Oriented Requirements Engineering (GORE) methods used, such as Knowledge Acquisition in Automated Specification (KAOS) and requirements engineering based on business processes. In this research, the KAOS method was demonstrated as the elicitation activity of a village innovation system. Then the results were stated in the Goal Tree Model (GTM). Model building begins with discussions with the manager of the village innovation program to produce goals. The goals are then broken down into several sub-goals using the KAOS method. The KAOS method is used for the requirements elicitation process resulting in functional and non-functional requirements. This research is the elicitation of the requirement for the village innovation system so that it can demonstrate the initial steps in determining the requirements of the village innovation system before carrying out the design process and the system creation process. The results of this requirement elicitation can be used further in the software engineering process to produce quality and appropriate village innovation applications.]]>
<![CDATA[Telemetering Hasil Pengukuran Curah Hujan Menggunakan Transmisi Nirkabel 433 MHz ]]>
<![CDATA[Hudiono Hudiono]]>;
<![CDATA[Mochammad Taufik]]>;
<![CDATA[Ridho Hendra Yoga Perdana]]>;
<![CDATA[Amalia Eka Rakhmania]]>
<![CDATA[ JURNAL INFOTEL Vol 13 No 3 (2021): August 2021 ]]>
Publisher : <![CDATA[LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO ]]>
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DOI: 10.20895/infotel.v13i3.603
<![CDATA[The line of sight (LOS) microwave communication system, especially those operating at frequencies above 10 GHz, is very susceptible to rain attenuation, particularly in tropical countries such as Indonesia. Therefore, it is essential to calculate rain attenuation estimation values as a basis for consideration in designing a line of sight microwave communication system to get stable communication. In this study, telemetering was designed to measure the rainfall intensity from a rain gauge device through a 433 MHz wireless transceiver. Measurement of rainfall intensity values via an Arduino-controlled rain gauge was transmitted directly to the monitoring room, which then processed to be displayed in graphical form in real time and can also be stored as data loggers. The rainfall telemetering device users can measure rainfall remotely and without having to wait for the rain like the rainfall manual measurement.]]>
