cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Rizki Wahyudi
Contact Email
rizki.key@gmail.com
Phone
+6281329125484
Journal Mail Official
telematika@amikompurwokerto.ac.id
Editorial Address
The Telematika, with registered number ISSN 2442-4528 (online) ISSN 1979-925X (print) is a scientific journal published by Universitas Amikom Purwokerto. The journal registered in the CrossRef system with Digital Object Identifier (DOI) prefix 10.35671/telematika. The aim of this journal publication is to disseminate the conceptual thoughts or ideas and research results that have been achieved in the area of Information Technology and Computer Science. Every article that goes to the editorial staff will be selected through Initial Review processes by the Editorial Board. Then, the articles will be sent to the Mitra Bebestari/ peer reviewer and will go to the next selection by Double-Blind Preview Process. After that, the articles will be returned to the authors to revise. These processes take a month for a minimum time. In each manuscript, Mitra Bebestari/ peer reviewer will be rated from the substantial and technical aspects. The final decision of articles acceptance will be made by Editors according to Reviewers comments. Mitra Bebestari/ peer reviewer that collaboration with The Telematika is the experts in the Information Technology and Computer Science area and issues around it.
Location
Kab. banyumas,
Jawa tengah
INDONESIA
Telematika
Published by Universitas Amikom Purwokerto
ISSN : 1979925X     EISSN : 24424528     DOI : 10.35671/telematika
Core Subject : Education,
Education
Jl. Letjend Pol. Soemarto No.126, Watumas, Purwanegara, Kec. Purwokerto Utara, Kabupaten Banyumas, Jawa Tengah 53127
Arjuna Subject : -
Articles 201 Documents
 1   2   3   4   5 
Pemantau Suhu Menggunakan NodeMcu, IoT dan Cayenne pada Rack Server Parma Hadi Rantelinggi; Fridolin Febrianto Paiki; Yosia Gadi
Telematika Vol 13, No 2: Agustus (2020)
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/telematika.v13i2.1001

Abstract

The server is an essential part of the service provider that needs to be maintained. The server environment factor that needs to be monitored is the ideal temperature on the server rack. This study aims to implement temperature monitoring at the server rack. This research uses NodeMCU with DHT11 and IoT sensors to monitor and measure the temperature on the rack server. Temperature data on the rack server is monitored through Cayenne and displayed on smartphones and computers, so users can monitor the state of the rack server anywhere by accessing the internet. This study uses three rack servers connected with DHT11 sensors that can monitor temperature simultaneously. The results showed that the temperature increased accordingly due to the number of active servers in each rack, so it needed to be structured evenly on the server rack. Besides, the results of the study show that the application of NodeMCU with DHT11 and IoT sensors can monitor temperature well on the rack server, where the first rack server shows an average temperature of 19.3oC, for the second rack 17.4oC and the third rack 21.8oC.
The Evaluation of Image Messages in MP3 Audio Steganography Using Modified Low-Bit Encoding Ilham Firman Ashari
Telematika Vol 14, No 2: August (2021)
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/telematika.v14i2.1031

Abstract

Information security is an important aspect of maintaining the confidentiality of information. One type of document kept secret is images (.jpg, .png, .gif, dan .bmp). MP3 audio files are popular audio files that can be used as a medium for steganography. The method implemented in this study uses Base64 in the image and the insertion method used is using Low-Bit Encoding (LBE). In this study, the parameters of the value of LBE will be evaluated. The purpose of the evaluation is to compare the LBE parameter parameters that are the most optimal in securing the message while taking into account the quality of steganographic files. The results obtained from the study are the proposed method that supports the imperceptibility aspect seen from the image histogram and audio frequency spectrum. The fidelity aspect is seen from the PSNR and SNR values, where The optimal value on the LBE + 2 parameter is by considering the capacity of the picture message that can be inserted and audio quality. PSNR LBE + 2 values range from 50-60 dB with SNR different about 0.01% from LBE + 1. The proposed method does not support the robustness aspect because it is not resistant to attacks by bit rate manipulation and channel mode. The test results on the recovery aspect are worth 100%, meaning that the image's quality and size before and after extraction will be the same. And finally, the test results on the payload aspect, there is an increase in message capacity with LBE + 2 around 12.5% of LBE + 1, and using LBE + 3 will increase the maximum size around 25% of LBE + 1 and about 14% of LBE + 2. The insertion and extraction time for LBE + 3 is slower compared to the others.
E-Commerce Analysis of Customer Satisfaction and Hotel Reservation Quantity in Cilacap Regency Berlilana Berlilana; Fiby Nur Afiana
Telematika Vol 13, No 2: Agustus (2020)
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/telematika.v13i2.1068

Abstract

This research aims to determine the effects of e-commerce implementation on customer satisfaction and room reservation quantity. The data is obtained from questionnaires distribution and analyzed using Multiple Regression Analysis where F-Test and T-Test tested the 168 samples of 290 population. From the result of analysis, Partial test on customer satisfaction shows that the three variables have t count> t table, the independent variable is quality of use (X1), namely 8,132> 1,974; the independent variable information quality (X2), namely 2.609> 1.974; the independent variable of interaction quality (X3) is 2.956> 1.974, so each H1 is accepted. Regarding the room reservation level, the partial test shows the three variables have t count> t table, the independent variable is the quality of use (X1), namely 2.181> 1.974; the independent variable information quality (X2), namely 2.021 <1.974; the independent variable of the quality of the interaction (X3), namely 3.497> 1.974, so H1 is accepted. It can be concluded  that the usability quality (X1), quality of information (X2), and quality interaction (X3) have significant effects on customer satisfaction (Y1) and room reservation quantity (Y2). Specifically, the quality of interaction shows a significant effect on the room reservation quantity as well as the quality of information and interaction on customer satisfaction. Based on this research, it can be concluded that the quality of interaction and quality of information have a positive effect on customer satisfaction, and only the interaction variable has a positive effect on the quantity of hotel room reservation.
Students Grade Grouping to Optimize On-Time Graduation Predictions by Combining K-Means and C4.5 Algorithms (Case Study: University Potensi Utama) Bob Subhan Riza; Sarjon Defit
Telematika Vol 14, No 1: February (2021)
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/telematika.v14i1.1109

Abstract

Graduating on time is the dream of every student who studies in universities. Some factors that can lead to failure in graduating on time, such as grades, though students are sometimes careless and underestimating this factor, despite knowing that problematic Grade will hinder the student from graduating on time. This research helps the study program to predict which students will graduate on time. There are 2 stages in the research, first is the process of clustering students' data using the K-Means algorithm, while the second stage predicts students' graduation using the C4.5 algorithm. Variable used are Grade, Failing Grade, Specialization, Internship, Thesis, Undergraduate Thesis 1, Undergraduate Thesis 2, and Passing Grade. Using RapidMiner and processing these data using this software can predict students that graduate on time.
Prediction Model Grade Point Average using Backpropagation Neural Network and Multiple Linear Regression Lusiana Efrizoni; Sarjon Defit
Telematika Vol 14, No 1: February (2021)
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/telematika.v14i1.1113

Abstract

Education in the 21st century equips students with knowledge and information and the success of achieving academic achievements during the learning process. Students' academic achievement can be seen from various aspects: the Grade Point Average. So far, efforts to predict GPA have not been made. In fact, if the student's Grade Point Average can be predicted from an early age, the study program can implement a policy to improve graduates' quality and make planning, study escort, and guidance more intensive. Based on this urgency, this study aims to produce a predictive model for the GPA of STMIK Amik Riau students in the odd semester of 2019, using the Backpropagation Neural Network algorithm and Multiple Linear Regression. Backpropagation's architectural model is 8 architectures, and 4-5-1 is the best architectural model with MSE at the time of training = 0.00099965532 and MSE during network validation = 0.0038793 with an epoch of 102 iterations and the resulting accuracy value of 95.24%. Meanwhile, the GPA prediction results, after testing using the Multiple Linear Regression algorithm, obtained an MSE value of 0. 0.27966667%, with a Multiple Correlation coefficient (R) of R = 0.9774925 and a coefficient of determination (R2) = 0.95549159. Thus the prediction of student GPA using MLR is accurate because the value of the coefficient of determination (R2) is close to 1.
Image Quality Analysis of PNG Images on WhatsApp Messenger Sending Fahmi Anwar; Abdul Fadlil; Imam Riadi
Telematika Vol 14, No 1: February (2021)
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/telematika.v14i1.1114

Abstract

Technology is growing rapidly, especially in communication with various types of information services such as internet-based messages. One of the most popular internet-based messages in Indonesia is WhatsApp Messenger. WhatsApp is a chat application that can be used on many platforms. Message sending on WhatsApp is carried out end-to-end encryption from the sender to the message recipient. The sending of messages in PNG images is secured using end-to-end encryption and compressed according to predefined rules. This study analyzes Image Compression and Alpha channel in PNG by comparing PNG images before being sent with PNG images that have gone through the sending process on WhatsApp using the test-driven development (TDD) method. The analysis results contain comparisons based on the RMSE, SSIM, PSNR, and MD5 hash values. Delivery with a gallery image attachment type using an image transparent background changes to a white image background. While those with a background other than transparent have good image quality because it has a PSNR value of more than 35 dB, and submissions with document attachment types do not experience changes in MD5 hash value and image quality.
Numerical Simulation of Cholera Epidemic Model with Quarantine Trisilowati Trisilowati; Ari Andari; Muhammad Abdurrahman Rois; Mohamad Hasyim Muzaqi
Telematika Vol 14, No 1: February (2021)
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/telematika.v14i1.1143

Abstract

Cholera is an acute diarrheal disease that spread quickly in an unsanitary environment, and one of its control measures is employing quarantine. Therefore, this research aims to construct a model for the spread of SIRQB-type (susceptibles, infective, recovered, quarantine, bacteria) infectious diseases through a nonlinear differential equation approach. Furthermore, the equilibrium points condition and their stability were investigated using the standard dynamical analysis method. The results show two points of equilibrium: the disease-free, which always exists and is unstable, and the endemic, which is stable and exists under certain conditions. Also, the simulation carried out support the analysis results, and it shows that the rate of quarantine affects the spread of the infected subpopulation.
Local Sensitivity Analysis of COVID-19 Epidemic with Quarantine and Isolation using Normalized Index Muhammad Abdurrahman Rois; Trisilowati Trisilowati; Ummu Habibah
Telematika Vol 14, No 1: February (2021)
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/telematika.v14i1.1191

Abstract

This study discusses the sensitivity analysis of parameters, namely the COVID-19 model, by dividing the population into seven subpopulations: susceptible, exposed, symptomatic infection, asymptomatic infection, quarantine, isolation, and recovered. The solution to the ordinary differential equation for the COVID-19 model using the fourth-order Runge-Kutta numerical method explains that COVID-19 is endemic, as evidenced by the basic reproduction number (R0) of 7.5. It means 1 individual can infect 7 to 8 individuals. Then  is calculated using the next-generation matrix method. Based on the value of R0, a parameter sensitivity analysis is implemented to specify the most influential parameters in the spread of the COVID-19 outbreak. This can provide input on the selection of appropriate control measures to solve the epidemic from COVID-19. The results of the sensitivity analysis are the parameters that have the most influence on the model.
Data Mining Method to Determine a Fisherman's Sailing Schedule Using Website Dwi Ayu Mutiara; Alung Susli; Didit Suhartono; Dani Arifudin; Imam Tahyudin
Telematika Vol 14, No 2: August (2021)
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/telematika.v14i2.1193

Abstract

Some of Cilacap people live in coastal areas as fishermen who utilize the seafood to meet the needs of life. One of the fishermen supporters in the cruise is the information of Meteorological, Climatological, and Geophysical Agency (BMKG). This information is important for safety such as wind speed and wave height. For addressing the problem, research is conducted to determine the sailing schedule of fishermen using data mining method with the website based. The proposed method is using Support Vector Machine (SVM) classification algorithm. This research uses data from BMKG Cilacap from 2015 until 2017. Test data is part of data that is 30% randomly fetched from the overall data used. From model testing, get value with performance results from datasets that generate accuracy of 88%, 87% precision and 89% recall. This solution is followed by constructing the website in order to easy to access of sailing information. Therefore, the researcher created a website of fisherman sailing scheduling system based on SVM algorithm.
Website-Based Application for Flood Event Prediction Using Machine Learning Method In Cilacap District Imam Tahyudin; Faiz Ichsan Jaya; Nur Faizah
Telematika Vol 15, No 1: February (2022)
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/telematika.v15i1.1195

Abstract

Floods are the most common natural disasters, both in terms of their intensity at a place and the num- ber of locations of events in the amount of 40% among other natural disasters. The impact of flooding on the area in general is temporary housing in rural areas caused by flooding in addition to settlement as well as agriculture which can have an impact on the food security of the area and also a national level that is higher than the magnitude of the country. Based on data from the Central Statistics Agency of Cilacap Regency, the number of flood victims in Cilacap Regency in 2018 reached 771 people and arranged for them to flee from the flood. To solve this problem, do research to create a web-based application using the classification of the Support vector machine or Random Forest to predict flood events and compare the accuracy values of the two algorithms to get better prediction results.

Page 1 of 21 | Total Record : 201

 1   2   3   4   5 

Filter by Year

2008 2022


Reset
Filter By Issues
All Issue Vol 15, No 1: February (2022) Vol 14, No 2: August (2021) Vol 14, No 1: February (2021) Vol 13, No 2: Agustus (2020) Vol 13, No 1: Februari (2020) Vol 12, No 2: Agustus (2019) Vol 12, No 1: Februari (2019) Vol 12, No 1: Februari (2019) Vol 11, No 2: Agustus (2018) Vol 11, No 1: Februari (2018) Vol 10, No 2: Agustus (2017) Vol 10, No 1: Februari (2017) Vol 9, No 2: Agustus (2016) Vol 9, No 1: Februari (2016) Vol 8, No 2: Agustus (2015) Vol 8, No 1: Februari (2015) Vol 8, No 1: Februari (2015) Vol 7, No 2: Agustus (2014) Vol 7, No 1: Februari (2014) Vol 6, No 2: Agustus (2013) Vol 6, No 1: Februari (2013) Vol 6, No 1: Februari (2013) Vol 5, No 2: Agustus (2012) Vol 5, No 1: Februari (2012) Vol 4, No 2: Agustus (2011) Vol 4, No 1: Februari (2011) Vol 3, No 2: Agustus (2010) Vol 3, No 1: Februari (2010) Vol 2, No 2: Agustus (2009) Vol 2, No 1: Februari (2009) Vol 1, No 2: Agustus (2008) Vol 1, No 1: Februari (2008) More Issue