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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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Analysis of greedy perimeter stateless routing protocol network simulation using bird flocking algorithm Doan Perdana; Albion Apta Zaim; Alfin Hikmaturokhman; Ananda Irsyad; Nindy Ayu Marthaliana
JURNAL INFOTEL Vol 14 No 1 (2022): February 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i1.706

Abstract

The purpose of this study is to simulate the GPSR protocol network on NS3 using the bird flocking algorithm and to analyze the comparison of performance measurements obtained from the simulation results. The Greedy Perimeter Stateless Routing network was simulated using NS-3 in this simulation. The simulation area is created in length, width. The distance between nodes is 50 meters and is simulated in an area of 1000m x 300m for 30 seconds and 802.11 MAC protocol is used. This simulation was successfully implemented in finding the location of the nearest node using the GPSR protocol with the PSO / BFA algorithm. The number of nodes used in the simulation is 150 nodes and 2 nodes, so it can be concluded that the performance of Quality of Service (QoS) is greatly affected by the number of nodes and the algorithm used in the simulation.
Designing a microcontroller-based half-duplex interface device drove by the touch-tone signal Arief Goeritno; Ika Setyawibawa; Dwi Suhartono
JURNAL INFOTEL Vol 13 No 4 (2021): November 2021
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v13i4.712

Abstract

The interface device for communicating (IDC) as a bridge for the merger between two different systems based on different protocols and standards can be made of several electronic modules. The two Arduino boards (UNO R3 and MEGA2560 R3) have been constructed as the electronic modules of a gateway become a haft-duplex IDC, and are driven by the touch-tone signal. The research objectives, i.e., assembling some of the hardware for the embodiment of the adapter system, making a program structure, and performing a test of the IDC system. The haft-duplex IDC has been carried out by integrating all components by wiring to form an embedded system. Then, programming the microcontroller modules based on the Arduino software is carried outin six stages. Finally, the simulation test with the provision of conditions is carried out and obtained of six conditions for (i) the circuit of ring detection, (ii) the circuit of voice-operated transmit, (iii) the circuit off/on the hook of the telephone module, (iv) the circuit of tone decoder, (v) dial-up telephone numbers via push buttons and switching IC circuits, and (vi) the circuits of voice recording and storage in the form to playback. The test's success with six conditions has been an indication that the microcontroller-based IDC system is functioning as expected. Completing, the conclusion, and recommendationsrelated to measurement on the various purposes and the real conditions for the half-duplex interface adapter can be implemented.
Peer to peer (P2P) and cloud computing on infrastructure as a service (IaaS) performance analysis Tati Ernawati; Febi Febiansyah
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.v14i3.717

Abstract

The resources of information technology and the availability of services on non-cloud network systems are limited. This constitutes problems for companies, especially in the efficient management of information technology. The high investment in infrastructure procurement is an obstacle in building centralized systems, including the adoption of cloud computing through Infrastructure as a Service (IaaS), as an elective solution. This research aims to analyze the performance of cloud servers on IaaS services using the parameters of cloud service availability, resource utilization, and throughput transfer which were implemented in companies engaged in the toll road concession sector. Furthermore, the results are expected to be a reference in supporting company decisions/policies related to cloud system adoption. The methodology involved the Network Development Life Cycle (NDLC), a system constituted by 6 (six) stages of management, namely user, proxy server, database, web service, monitoring service, and Remote Desktop Protocol (RDP). The results of cloud service availability indicate that the cloud system provides service availability (system interface, broad network access, and resource pooling). Furthermore, cloud systems have a significant performance on resource utilization (CPU) and throughput transfer parameters, while non-cloud systems only excel in response time and resource utilization (Memory) parameters. The overall result analysis based on this research scenario showed that the cloud system provides services according to user needs and has a better speed in data transmission, but has shortcomings in response time.
English An implementation of smart agriculture for optimizing growth using sonic bloom and IoT integrated Mia Galina; Cutifa Safitri; Iksan Bukhori; Arthur Silitonga; Antonius Suhartomo
JURNAL INFOTEL Vol 14 No 1 (2022): February 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i1.725

Abstract

This paper proposes the implementation of IoT-based agriculture monitoring with audio growth (sonic bloom) to optimize the growth of plants and harvest. Sonic bloom is a technology that combines high-frequency sound waves from living things, nature or music, and organic nutrients, which aims to make plants grow more optimally so that they can increase productivity. The method’s main advantage is implementing an innovative IoT monitoring hybrid with audio growth systems to boost the plantation growth and maximize the yield. Our experiment in 10 planters using chilies, has proven the proposed procedure. This work is backed up with literature studies of the audio growth (sonic bloom) in IoT technologies. To validate our findings, four parameters were measured through different sensors such as light sensors, temperature, humidity, and soil moisture. It was found that the proposed method can achieve significant results against the comparison in terms of plant heights and new sprouts for the harvest.
Optimization of software defects prediction in imbalanced class using a combination of resampling methods with support vector machine and logistic regression Windyaning Ustyannie; Emy Setyaningsih; Catur Iswahyudi
JURNAL INFOTEL Vol 13 No 4 (2021): November 2021
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v13i4.726

Abstract

The main problem in producing high accuracy software defect prediction is if the data set has an imbalance class and dichotomous characteristics. The imbalanced class problem can be solved using a data level approach, such as resampling methods. While the problem of software defects predicting if the data set has dichotomous characteristics can be approached using the classification method. This study aimed to analyze the performance of the proposed software defect prediction method to identify the best combination of resampling methods with the appropriate classification method to provide the highest accuracy. The combination of the proposed methods first is the resampling process using oversampling, under-sampling, or hybrid methods. The second process uses the classification method, namely the Support Vector Machine (SVM) algorithm and the Logistic Regression (LR) algorithm. The proposed, tested model uses five NASA MDP data sets with the same number attributes of 37. Based on the t-test, the < = 0.0344 < 0.05 and the > = 3.1524 > 2.7765 which indicates that the combination of the proposed methods is suitable for classifying imbalanced class. The performance of the classification algorithm has also improved with the use of the resampling process. The average increase in AUC values using the resampling in the SVM algorithm is 17.19%, and the LR algorithm is at 7.26% compared to without the resampling process. Combining the three resampling methods with the SVM algorithm and the LR algorithm shows that the best combining method is the oversampling method with the SVM algorithm to software defects prediction in imbalanced class with an average accuracy value of 84.02% and AUC 91.65%.
Development of quadcopter for atmospheric data collection Wayan Suparta; Trie Handayani
JURNAL INFOTEL Vol 14 No 1 (2022): February 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i1.727

Abstract

This research aims to develop a quadrotor system as unmanned aircraft vehicles (UAVs, or drones) for monitoring atmospheric conditions in a targeted area. The system consists of an APM 2.8 arducopter flight controller, Ublox NEO M8N GPS module with compass, Racerstar 920kV 2-4S Brushless Motor, Flysky Receiver FS-iA6B with FS-i6 Remote Control Transmitter, DJI F450 quadcopter frame kits with tall landing gear skid, and a LiPo Battery 3300 mAh 35C. The system is set up and run through a Mission Planner. As for monitoring atmospheric conditions, the system consists of an Arduino Uno ATmega328P, BME280 sensors, and several modules (DS3231 Real-Time Clock (RTC), micro SD card, and 16×2 LCD). Our vehicle with a total weight of 1 kg can fly into space and maneuver to an altitude of more than 200 meters in an average of 10 minutes. Atmospheric conditions such as air temperature, relative humidity, air pressure, altitude, and precipitable water vapor can be measured and logged properly from drones. By this development, the system can be applied in the future to detect or measure weather extremes, air pollution, or monitoring aerial topography automatically when equipped with gas sensors and cameras, respectively.
Human height and weight classification based on footprint using gabor wavelet and K-NN methods Ryan Bagus Wicaksono; Suci Aulia; Sugondo Hadiyoso; Bambang Hidayat
JURNAL INFOTEL Vol 14 No 2 (2022): May 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i2.728

Abstract

Height and weight are parameters to identify a person, especially for a forensic. To identify height and weight is usually done manually. In addition to manually using height measuring devices and scales, you can also use information related to the foot length. There is a relationship between height and foot length can be expressed in the correlation coefficient (r) as same as for weight. Therefore, in this study, a system for measuring human height and weight based on images of the footprint is implemented on Android. The methods used in this study are Gabor Wavelet and k-Nearest Neighbor (k-NN). The simulation results generate the best accuracy of 75%. The system can also used to categorize the ideal body level according to the Body Mass Index (BMI). The system is able to process images with an average computation time of 8.92 seconds.
Using field experiments to analyze changes in electronic data capture adoption decisions Irwan Susanto
JURNAL INFOTEL Vol 14 No 1 (2022): February 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i1.729

Abstract

Lacovou presented research results in a framework that describes the role of the determinants of technology, organization, and environment simultaneously influencing the innovation adoption decision-making process. The Lacovou framework is an extension study of the Tornatzky framework. Tornatzky's framework addresses three determinants that influence innovation adoption. Unfortunately, Lacovou did not present how the decision process took place. Decisions can be rational or irrational. Ajzen and several other studies defined rational decisions as decisions based on considered information or for a reason as. Previous research had not revealed empirically the rational calculation process in making innovation adoption decisions. Innovation adoption is someone's choice when he/she perceive the benefit and feel appropriate the innovation and will use or intend to use it. This study intends to reveal how the process of rational calculation in the decision-making adoption of innovations through the field experiment method. This study also reveals whether the decision of Small Medium Enterprises (SMEs) to adopt Electronic Data Capture (EDC) is rational. Research analysis using descriptive analysis method. The results show that the rational calculation process can be observed through the field experiment method. The shift in decisions represented by changes in the data on the number of subjects who make adoption decisions illustrate the rational calculation process. The results show that the decision of SMEs in adopting EDC is mostly rational. The yields of this field experiment- research was confirming Lacovou framework. The research illustrates the simulation of the effect of a combination of perceived benefits, organizational readiness, and environmental factors simultaneously
Performance of the K-Nearest Neighbors method on identification of maize plant nutrients Bain Khusnul Khotimah
JURNAL INFOTEL Vol 14 No 1 (2022): February 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i1.735

Abstract

Maize is one kind of commodity consumption in domestic as well as export that has high economic value. However, the low productivity is caused by the main factor, namely the decreased level of soil fertility, so that it has the same effect on crop yields. These problems require the application of technology with the K-Nearest Neighbor (KNN) method. The method of study is based on 17 signs of nutrient deficiencies with Minkowski distance calculation process, calculation of deficiency of soil nutrients based on the value of K determined. The test results of the research use K = 75 to get an accuracy of 92.40. Comparative analysis of the K-nearest neighbor (K-NN) and NB methods by looking for the closeness between the criteria for new cases and old case criteria based on the criteria for the closest cases. The results showed that the K-Nearest Neighbor (K-NN) Algorithm had a better accuracy value than NB.
Temperature control system on greenhouse effect gaplek dryer Bandiyah Sri Aprillia; Brahmantya Aji Pramudita; Prisma Megantoro
JURNAL INFOTEL Vol 14 No 1 (2022): February 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i1.736

Abstract

Gaplek is a processed product of cassava that requires a drying process to remove the water content in cassava. Solar thermal energy can be used for the drying process of gaplek by using a greenhouse effect drying system. However, the greenhouse effect drying system using solar thermal energy is very dependent on weather conditions and temperature that is difficult to control. Therefore, a temperature control system is proposed in this study by utilizing Pulse Width Modulation (PWM) to control the exhaust fan speed. Thus, the temperature can be maintained according to the drying standard of processed cassava products. In this study, a temperature control system has been successfully created that is able to maintain the temperature in the drying room according to the drying standard, namely at a temperature of 50℃ to 60℃ when tested in three different locations, namely, Sukamaju Village, Kaligunting Village, and Sumberejo Village which have shown optimal drying temperature.

Page 29 of 48 | Total Record : 473

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