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Contact Name
Danny Kurnianto
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dannykurnianto@st3telkom.ac.id
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infotel@st3telkom.ac.id
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Kab. purworejo,
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INDONESIA
Jurnal INFOTEL
ISSN : 20853688     EISSN : 24600997     DOI : -
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. It was firstly published in 2009 for a printed version and for online version 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 : -
Articles 246 Documents
A Development of Low Cost Wi-Fi Robot for Teaching Aid Uddin, Nur
JURNAL INFOTEL Vol 12 No 2 (2020): May 2020
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v12i2.471

Abstract

A low-cost Wi-Fi robot as a teaching equipment is developed. The robot can be used to teach students in the subjects related to robotics system and internet of things (IoT). A Wi-Fi robot is a robot equipped with a Wi-Fi communication system for connecting to the internet. Integrating the robot with an IoT platform makes the robot able to communicate with other devices. The developed Wi-Fi robot in this study is a three-wheeled robot type. A NodeMCU ESP-12, which is a microcontroller equipped with Wi-Fi module, is applied in the robot. The robot is connected to the Blynk IoT platform and paired to a smartphone. It results in communication between the robot and the smartphone through the internet. The communication is demonstrated by remotely operating the robot using the smartphone. Mechanical structure and electronic wiring of the robot are simple such that the robot is easily built. Moreover, the cost of required components for building the robot is quite cheap as less than USD 20.
Increasing LTE-Advanced Network Capacity Using The Inter-band Carrier Aggregation (Downlink Side) Method Kusuma, Fadli; Putri, Hasanah
JURNAL INFOTEL Vol 12 No 2 (2020): May 2020
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v12i2.474

Abstract

According to the identification of the Operating Support System (OSS) by the Smartfren cellular operator in the Central Bandung area, six sites are found to have high traffic capacity with the physical resource block (PRb) percentage of 82.6 %. The use of PRb > 80 % is included in the warning indicator 2 based on the operator’s standards. It is also strengthened by the condition of the existing sites with the average Reference Signal Receive Power (RSRP) of -103.3 dBm, Signal to Interference Noise Ratio (SINR) of 6.28 dB, and throughput of 27.78 Mbps, thus resulting in non-optimal network performance in the area. Therefore, in this study, the inter-band Carrier Aggregation (CA) was applied by combining the 40 Time Division Duplex (TDD) band (2300 MHz) and band 5 Frequency Division Duplex (FDD) (850 MHz). One of the advantages of applying this method is that it can increase the user network capacity by maximizing the resources owned by the operator. The predetermined scenario taking into account the initial network condition indicated a decrease in the PRb percentage by 44.50 % and an increase in the average RSRP value by 12.8 dBm, SINR by 5.14 dB, and throughput by 34.59 Mbps.
Discrete Wavelet Transform (DWT) dan Random Forest untuk Deteksi Kanker Berdasarkan Klasifikasi Data Microarray Triyani, Monica; Adiwijaya, Adiwijaya; Aditsania, Annisa
JURNAL INFOTEL Vol 12 No 3 (2020): August 2020
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v12i3.484

Abstract

Cancer is one of the leading causes of death worldwide. According to the World Health Organization (WHO) in 2018, about 9.6 million deaths caused by cancer. DNA microarray technology has played an important role in analyzing and diagnosing cancer. However, microarray data has a large data dimensions resulting in the accuracy of the Random Forest are not optimal. In this paper, the Discrete Wavelet Transform (DWT) is selected as a feature extraction method. Based on the simulation, the dimension can be reduced and improve the accuracy of classification up to 8% - 20%. DWT approximation coefficient can improve accuracy better than detailed coefficients for data on colon cancer 100%, lung cancer 100%, ovarian 100%, prostate tumor 85.71%, and central nervous system 83.33%.
Fitur Seleksi pada Data Microarray untuk Deteksi Kanker Berdasarkan Klasifikasi Random Forest Nuklianggraita, Tita Nurul; Adiwijaya, Adiwijaya; Aditsania, Annisa
JURNAL INFOTEL Vol 12 No 3 (2020): August 2020
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v12i3.485

Abstract

Cancer is a disease that can affect all organs of humans. Based on data from the World Health Organization (WHO) fact sheet in 2018, cancer deaths have reached 9.6 million. One known way to detect cancer that is with Microarray Technique, but the microarray data have large dimensions due to the number of features that are very much compared to the number of samples. Therefore, dimension reduction should be made to produce optimum accuracy. In this paper, we compare Minimum Redundancy Maximum Relevance (MRMR) and Least Absolute Shrinkage and Selection Operator (LASSO) to reduce dimension of microarray data. Moreover, by using Random Forest (RF) Classifier, the performance of classification (cancer detection) is compared. Based on simulation, it can be concluded that LASSO is better than MRMR because it can produce an evaluation of 100% in lung and ovarian cancer, 92% colon cancer, 93% prostate tumor and 83% central nervous system.
Convolutional Neural Networks Based on Raspberry Pi for a Prototype of Vocal Cord Abnormalities Identification D.K., Hertiana Bethaningtyas; Fadillah, Muhammad Agfian; Rachmawati, Lulu Millatina; Jahja, Maiisy; Suhendi, Asep
JURNAL INFOTEL Vol 12 No 3 (2020): August 2020
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v12i3.487

Abstract

This study aims to make a device prototype for identifying vocal cord abnormalities based on Raspberry Pi. This prototype could also classify the abnormalities into seven classes, i.e., cysts, granulomas, nodules, normal, papilloma, paralysis, and no vocal cords. The applied method to classify is a deep learning algorithm, mainly using Convolutional Neural Network (CNN). In building the CNN model, we used a statistical method to form a model training scenario, also modified the AlexNet architecture model by optimizing the parameters. The optimized parameters in the test scenario obtained 95.35% for accuracy. The CNN model implemented on the Raspberry Pi, and the test results obtained 79.75% for accuracy.
The Newton’s Polynomial Based - Automatic Model Generation (AMG) for Sensor Calibration to Improve the Performance of the Low-Cost Ultrasonic Range Finder (HC-SR04) Gandha, Gutama Indra; Santoso, Dewi Agustini
JURNAL INFOTEL Vol 12 No 3 (2020): August 2020
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v12i3.486

Abstract

The ultrasonic range finder sensors is a general-purpose sensor to measure the distance contactless. This sensor categorized as low-cost sensor that widely used in various application. This sensor has a significant deviation that lead to significant error in the measurement result. The error that produced by this sensor tends to increase proportionally to the measured distance. The implementation of the particular algorithm is required to reduce the error value. The model-based calibration is a solution to increase the accuracy. The model-based solutions are no longer feasible if the states of the model have changed. The longer of the usage of the sensor lead to sensor fatigue. Sensor fatigue is one of the causes of model state changes. As long as the drift still within the tolerance limit, the performance of the sensor still can be restored by using calibration method. The model-based calibration calibrates the sensor by using the model. The update of the model must be made whenever the changing of the model state occurred. Since the manual model making process is not an easy task, time and cost required, then the Newton polynomial-based AMG (Automatic Model Generation) have been implemented to this research. The AMG algorithm generates the new sensor model automatically based on the most updated states. This automatic model generation is implemented in the calibration process of the ultrasonic sensor. The implementation of polynomial-based AMG algorithm for sensor calibration have been succeeded to improve the accuracy of the calibrated sensor by 96.4% and reduce the MSE level from 25.6 to 0.914.
Analisis Teks Pelamar Untuk Klasifikasi Kepribadian Menggunakan Multinomial Naïve Bayes dan Decision Tree Hutama, Nanda Yonda; Lhaksmana, Kemas Muslim; Kurniawan, Isman
JURNAL INFOTEL Vol 12 No 3 (2020): August 2020
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v12i3.505

Abstract

Employees' qualities affect companies' performances and with a large number of applicants, it's difficult to find suitable applicants. To help with it, companies carry out psychological tests to know applicants' personalities, since personality's considered to have a relationship with work performances. But psychological testing requires a lot of effort, cost, and human resources. Thus with a system that can classify personalities through text can help reduce the effort needed. Similar studies carried out with the big five personalities as the theoretical basis and used one of the personality traits, namely using the k-NN method with 65% accuracy. Based on these studies, accuracy can improve by finding the best parameters using all of the big five personalities. This research is conducted based on the big five personality traits and related traits, namely consciousness and agreeableness. The data used is text data that's been labelled, pre-processed and feature selected. The clean text data is used to create a classification model using multinomial Naive Bayes and decision trees. There are 6 models built based on 3 work cultures, decision tree with an accuracy of 33%, 66%, 80%, and multinomial naïve Bayes with an accuracy of 83%, 50%, 60%, which resulted as better performance.
Analisis Kualitas Jaringan 2G Pada Frekuensi 900MHz Dan 1800MHz Di Area Purwokerto Hikmaturokhman, Alfin; Pamungkas, Wahyu; Malisi, Muhamad Alwi Sibro
JURNAL INFOTEL Vol 5 No 2 (2013): November 2013
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (882.836 KB) | DOI: 10.20895/infotel.v5i2.1

Abstract

Teknologi 2G GSM masih banyak digunakan untuk komunikasi selular pada layanan suara maupun data. Performansi jaringan sangat berpengaruh terhadap layanan komunikasi yang digunakan. Drive test merupakan salah satu metode yang digunakan untuk mengamati performansi jaringan dari sisi penerima. Penelitian ini membahas tentang bagaimana cara pengamatan performasi jaringan dengan metode drive test single site. Parameter yang diamati untuk mengetahui performansi suatu jaringan 2G adalah Rx Level, Rx Qual, SQI dan Throughput. Rx Level yaitu digunakan untuk pengamatan level sinyal penerima dari BTS. Rx Qual digunakan untuk menentukan kualitas sinyal penerima. SQI merupakan nilai indikator dari kualitas layanan suara. Throughput menampilkan nilai pengamatan layanan data hasil download dan upload. Hasil pengamatan dari drive test single site ini memperoleh nilai level sinyal atau Rx Level ? -85 dBm dapat mencapai 80% untuk frekuensi 900 MHz sedangkan pada frekuensi 1800 MHz memperoleh 74,95%, Rx Qual dari range 0-3 memperoleh 26,58% pada frekuensi 900 MHz dan 33,81% pada frekuensi 1800 MHz. Nilai throughput maksimum dapat mencapai target 60 Kbps pada penggunaan download GPRS dan 90 Kbps untuk penggunaan download EDGE, sedangkan nilai throughput upload dapat mencapai 30 Kbps pada GPRS dan 60 Kbps pada EDGE. Nilai maksimum throughput download maupun upload pada jaringan 2G di BTS Teluk masih dalam keadaan normal dengan melihat hasil nilai maksimum throughput berdasarkan Key Performance Indicator (KPI).
Deteksi Iris Berdasarkan Metode Black Hole dan Circle Curve Fitting Kurnianto, Danny; Soesanti, Indah; Nugroho, Hanung Adi
JURNAL INFOTEL Vol 5 No 2 (2013): November 2013
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (574.566 KB) | DOI: 10.20895/infotel.v5i2.3

Abstract

Sistem pengenalan identitas personal berdasarkan ciri biometrika adalah suatu sistem pengenalan seseorang berdasarkan pada ciri biometrika yang melekat pada orang tersebut. Iris mata merupakan salah satu ciri biometrik yang handal untuk sistem pengenalan identitas personal. Bagian sistem pengenalan identitas personal berdasarkan biometrik iris yang dianggap paling krusial adalah deteksi lokasi iris, karena akurasi deteksi iris berpengaruh pada tingkat akurasi sistem secara keseluruhan. Lokasi iris pada citra mata dibatasi oleh dua buah lingkaran yang memisahkan antara bagian iris dengan pupil dan sklera. Telah banyak metodemetode yang diusulkan oleh para peneliti untuk menghasilkan deteksi lokasi iris dengan akurat dan cepat. Masalah akurasi, kecepatan waktu eksekusi dan ketahanan terhadap noise merupakan bidang penelitian yang menantang pada deteksi iris. Makalah ini menyajikan metode deteksi iris menggunakan metode black hole dan circle curve fitting. Langkah pertama, mencari batas dalam lingkaran iris yang memisahkan antara daerah iris dan pupil. Dengan metode black hole yang bekerja berdasarkan fakta bahwa lokasi pupil merupakan daerah lingkaran yang paling hitam dan memiliki distribusi nilai intensitas yang seragam, maka lokasi pupil dapat ditentukan dengan teknik pengambangan. Batas lingkaran pupil dapat ditentukan dengan circle curve fitting dari parameter lingkaran daerah pupil. Langkah kedua, mencari batas luar lingkaran iris yang memisahkan antara iris dan sklera. Peta tepi citra iris dicari dengan menggunakan deteksi tepi Canny, kemudian diambil satu komponen tepi arah vertikal yang dapat mewakili batas lingkaran luar iris. Dari komponen tepi tersebut, dihitung jari-jari iris yang berpusat di pusat pupil. Dengan jari-jari iris dan pusat iris maka dapat ditentukan batas luar iris menggunakan circle curve fitting
Pengendalian Motor Servo Yang Terintegrasi Dengan Webcam Berbasis Internet Dan Arduino Rinaldy, Rinaldy; Christianti, Risa Farrid; Supriyadi, Didi
JURNAL INFOTEL Vol 5 No 2 (2013): November 2013
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (663.277 KB) | DOI: 10.20895/infotel.v5i2.4

Abstract

Seperti halnya internet, yang merupakan suatu jaringan global yang dapat mengkomunikasikan satu komputer dengan komputer yang lain, di manapun lokasi komputer tersebut berada, maka dapat diaplikasikan suatu proses pengendalian jarak jauh, dengan menggunakan mikrokontroler, sedemikian hingga objek yang bergerak mencurigakan dapat dimonitor oleh webcam, yang dapat digerakkan secara dinamis oleh pengguna. Hal ini diaplikasikan dalam sistem keamanan di dalam rumah pada saat rumah ditinggal jauh oleh pemiliknya. Untuk menunjang sistem keamanan, perlu adanya pemantauan yang dilakukan demi menghindari kasus pencurian. Pengguna dapat melihat tampilan camera dari software yang terintegrasi dengan webcam, selain itu pengguna dapat mengendalikan pergerakan kamera dengan tombol-tombol yang tersedia pada tampilan website yang berbasis HTML. Dalam penelitian ini alat kendali motor servo dapat bekerja dengan baik, dengan simpangan sudut mendekati 1800

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