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TELKOMNIKA (Telecommunication Computing Electronics and Control)
Published by Universitas Ahmad Dahlan
ISSN : 16936930     EISSN : 23029293     DOI : 10.12928
Core Subject : Science,
Computer Science & IT
Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of submissions that TELKOMNIKA has received during the last few months the duration of the review process can be up to 14 weeks. Communication Engineering, Computer Network and System Engineering, Computer Science and Information System, Machine Learning, AI and Soft Computing, Signal, Image and Video Processing, Electronics Engineering, Electrical Power Engineering, Power Electronics and Drives, Instrumentation and Control Engineering, Internet of Things (IoT)
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 2,614 Documents
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PENERAPAN JARINGAN SYARAF TIRUAN UNTUK MENGUKUR TINGKAT KORELASI ANTARA NEM DENGAN IPK KELULUSAN MAHASISWA Yeni Nuraeni
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 7, No 3: December 2009
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v7i3.594

Abstract

Currently, the Informatics Engineering undergraduate program of University of X (PSTI-X) uses the SLTA's EBTANAS Score (NEM) for admission selection criteria, especially for those coming who apply through fellowships. Due to the fact that the high score of NEM does not guarantee a graduate with high academic achievement, thus this study is intended to test the correlation between the composition of the high school's NEM with the grade point average of PSTI-X graduate using artificial neural network with feed-forward back propagation approach (JST-PB). It is expected to be used as a guideline for determining the composition of the SLTA's NEM score in the selection of new admissions, particularly via the fellowship. The results showed that JST-PB only has 64% success rate in the mapping of NEM composition and academic achievement of graduates. These results reinforce the results of previous studies using correlation analysis and multiple linear regressions that NEM could not be used as an absolute reference in the new admission selection system. The result of this study provides recommendations that PSTI-X needs to review new admissions system, particularly those through the fellowship.
KARAKTERISTIK SISTEM KENDALI ON-OFF SUHU CAIRAN BERBASIS MIKROKONTROLER AT90S8535 Muchlas Muchlas; Nuryono Satya Widodo; Wisnu Wulur
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 3, No 2: August 2005
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v3i2.1227

Abstract

Penggunaan mikrokontroler sebagai bagian dari suatu sistem pengendalian dan pengukuran merupakan suatu alternatif yang menarik untuk dikembangkan. Dengan semakin tersedianya mikrokontroler yang memiliki berbagai fasilitas seperti saluran ADC dan sarana komunikasi yang menyatu dalam satu chip tunggal dengan prosesor utamanya, maka peluang merancang sendiri peralatan pengendalian dan pengukuran untuk berbagai eksperimen menjadi sangat terbuka. Tujuan penelitian adalah merancang dan menguji alat pengendali suhu cairan dengan menggunakan mikrokontroler AT90S8535.Pada penelitian ini dirancang suatu  alat pengendali suhu cairan yang bisa dipertahankan nilainya sesuai dengan nilai yang diinginkan. Perancangan sistem kendali suhu cairan yang dibuat meliputi dua bagian utama yaitu bagian perangkat keras dan perangkat lunak. Perangkat keras meliputi mikrokontroler AT90S8535 sebagai pusat kendali, relai solid state (SSR) dan relai  mekanik sebagai komponen penyaklaran, 2 tombol tekan sebagai pengatur set-point suhu, serta pemanas dan pendingin yang berisi cairan sebagai plant yang dikendalikan. Pengambilan data dilakukan dengan cara pertama, mengambil data hasil perbandingan suhu yang terukur oleh alat kendali dengan termometer analog dimana alat kendali diperlakukan sebagai termometer digital. Hal ini dilakukan untuk mendapatkan karakteristik pembacaan/pengukuran suhu dari alat kendali. Kedua, pengambilan data dilakukan dengan membandingkan masukan set-point suhu dengan kendali on-off terhadap perubahan waktu. Hal ini dilakukan untuk mengetahui karakteristik pengendalian dari alat kendali. Hasil yang didapatkan adalah  alat ini bisa mengendalikan dan mengukur suhu berkisar 27°C – 99°C dengan delta pengendalian terkecil sebesar 1°C. Dengan adanya tampilan digital pada LCD (Liqud Crystal Display) dan pengukuran suhu dalam satuan derajat Celcius dan Fahrenheit, maka alat ini dapat pula dimanfaatkan sebagai termometer digital.
A Polynomial-based Pairwise Key Pre-distribution and Node Authentication Protocol for Wireless Sensor Networks Fatemeh Banaie; Seyed Amin Hosseini Seno; Ismat Aldmour; Rahmat Budiarto
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.3122

Abstract

Continuous advances in the areas of sensor networks have made wireless sensor networks (WSNs) attractive for wide variety of applications, with vastly varying requirements and characteristics. As data sensed by nodes usually contains sensitive information, adherence to data protection requirements is vital in WSNs. This paper introduces a new robust key pre-distribution key management scheme using random polynomial functions and a matrix. The proposed mechanism significantly increases storage efficiency and enhances network resilience against node capture. The effectiveness of the mechanism is demonstrated by security analysis and a comparison to existing schemes.
A Study on Image Reconfiguration Algorithm of Compressed Sensing Zhang Yubo; Wang Dongmei; Lingling Kan; Panpan Zhao
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 1: March 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i1.3710

Abstract

Compressed sensing theory is a subversion of the traditional theory. The theory obtains data sampling points while achieves data compression. The main content of this thesis is reconstruction algorithm. It’s the key of the compressed sensing theory, which directly determines the quality of reconstructed signal, reconstruction speed and application effect. In this paper, we have studied the theory of compressed sensing and the existing reconstruction algorithms, then choosing three algorithms (OMP, CoSaMP, StOMP) as the research. On the basis of summarizing the existing algorithms and models, we analyze the results such as PSNR, relative error, matching ratio and running time of them from image signal respectively. In the three reconstruction algorithms, OMP algorithm has the best accuracy for image reconstruction. The convergence speed of CoSaMP algorithm is faster than that of the OMP algorithm’s, but it depends on sparsity K quietly. StOMP algorithm on image reconstruction effect is the best, and the convergence speed is also the fastest.
Estimating Parameter of Nonlinear Bias Correction Method Using NSGA-II in Daily Precipitation Data Angga Wahyu Pratama; Agus Buono; Rahmat Hidayat; Hastuadi Harsa
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 1: February 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i1.6848

Abstract

Nonlinear (NL) method is the most effective bias correction method for correcting statistical bias when observation precipitation data can not be approximated using gamma distribution. Since NL method only adjusts mean and variance, it does not perform well in handling bias on quantile values. This paperpresents a scheme of NL method with additional condition aiming to mitigate bias on quantile values. Non-dominated Sorting Genetic Algorithm II (NSGA-II) was applied to estimate parameter of NL method. Furthermore, to investigate suitability of application of NSGA-II, we performed Single Objective Genetic Algorithm (SOGA) as a comparison. The experiment results revealed NSGA-II was suitable when solution of SOGA produced low fitness. Application of NSGA-II could minimize impact of daily bias correction on monthly precipitation. The proposed scheme successfully reduced biases on mean, variance, first and second quantile However, biases on third and fourth moment could not be handled robustly while biases on third quantile only reduced during dry months.
Multi-class K-support Vector Nearest Neighbor for Mango Leaf Classification Eko Prasetyo; R. Dimas Adityo; Nanik Suciati; Chastine Fatichah
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 4: August 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i4.8482

Abstract

K-Support Vector Nearest Neighbor (K-SVNN) is one of methods for training data reduction that works only for binary class. This method uses Left Value (LV) and Right Value (RV) to calculate Significant Degree (SD) property. This research aims to modify the K-SVNN for multi-class training data reduction problem by using entropy for calculating SD property. Entropy can measure the impurity of data class distribution, so the selection of the SD can be conducted based on the high entropy. In order to measure performance of the modified K-SVNN in mango leaf classification, experiment is conducted by using multi-class Support Vector Machine (SVM) method on training data with and without reduction. The experiment is performed on 300 mango leaf images, each image represented by 260 features consisting of 256 Weighted Rotation- and Scale-invariant Local Binary Pattern features with average weights (WRSI-LBP-avg) texture features, 2 color features, and 2 shape features. The experiment results show that the highest accuracy for data with and without reduction are 71.33% and 71.00% respectively. It is concluded that K-SVNN can be used to reduce data in multi-class classification problem while preserve the accuracy. In addition, performance of the modified K-SVNN is also compared with two other methods of multi-class data reduction, i.e. Condensed Nearest Neighbor Rule (CNN) and Template Reduction KNN (TRKNN). The performance comparison shows that the modified K-SVNN achieves better accuracy.
A low-cost fiber based displacement sensor for industrial applications Siti Mahfuza Saimon; Nor Hafizah Ngajikin; Muhammad Shafiq Omar; Mohd Haniff Ibrahim; Muhammad Yusof Mohd Noor; Ahmad Sharmi Abdullah; Mohd Rashidi Salim
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 2: April 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i2.9754

Abstract

In this paper, a low-cost fiber optic displacement sensor (FODS) using a bundle of plastic optical fiber (POF) as a probe is developed and presented. The sensor consists of a high power light emitting diode (LED) as light source, a probe with multiple receiving plastic optical fiber and a photodiode detector. The sensor is characterized at millimeter distance and the sensor output is analyzed from 0 mm to 13 mm displacement. The sensitivity of the sensor is found to be 5.38 mV/mm over 2.6 mm sensing range. The sensor is very useful for close distance target since it is highly sensitive at the front slope. The low development cost, high degree of sensitivity and simplicity of the design make it suitable for wide range of industrial applications.
A novel compact CPW tunable stop band filter using a new Z-DGS-resonator for microwave applications Elmahjouby Sghir; Ahmed Errkik; Jamal Zbitou; Larbi El abdellaoui; Abdelali Tajmouati; Mohamed Latrach
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 5: October 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i5.12193

Abstract

The paper presents a novel very compact CPW bandstop filter. The designed structure consists of one unit of new Z-DGS resonator, placed on top layer of ground plane between the input and output this structure, which is excited by 50 ohm coplanar line. The designed filter can be used in X-Band applications as the band stop can be shifted to any other desired frequency by tuning the length of the Z-DGS. The proposed filter topology has as benefits good performances in terms of wide stop-band rejection, low insertion loss, high return loss, simple design and more small size (17.908 × 10 mm2) compared to other previous works those reported in literature. The stop-band width is from 3.96GHz to 6.21GHz, exhibits a 22,25 dB rejection bandwidth of 45% with high selectivity characteristic at the center frequency of 5.05 GHz.
Predicting student performance in higher education using multi-regression models Leo Willyanto Santoso; Yulia Yulia
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 3: June 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i3.14802

Abstract

Supporting the goal of higher education to produce graduation who will be a professional leader is a crucial. Most of universities implement intelligent information system (IIS) to support in achieving their vision and mission. One of the features of IIS is student performance prediction. By implementing data mining model in IIS, this feature could precisely predict the student’ grade for their enrolled subjects. Moreover, it can recognize at-risk students and allow top educational management to take educative interventions in order to succeed academically. In this research, multi-regression model was proposed to build model for every student. In our model, learning management system (LMS) activity logs were computed. Based on the testing result on big students datasets, courses, and activities indicates that these models could improve the accuracy of prediction model by over 15%.
Authentication system for e-certificate by using RSA’s digital signature Kritsanapong Somsuk; Mongkhon Thakong
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 6: December 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i6.17278

Abstract

Online learning and teaching become the popular channel for all participants, because they can access the courses everywhere with the high-speed internet. E-certificate is being prepared for everyone who has participated or passed the requirements of the courses. Because of many benefits frome-certificate, it may become the demand for intruders to counterfeit the certificate. In this paper, Rivest-Shamir-Adleman (RSA)’s digital signature is chosen to signe-certificate in order to avoid being counterfeited by intruders. There are two applications to managee-certificate. The first application is the signing application to sign the sub image including only participant’s name in e-certificate. In general, the file of digital signature is divided frome-certificate. That means, both of them must be selected to compare each other in checking application. In fact, the solution will be approved when each pixel of participant’s name is equal to each part from the decrypted message at the same position. In experimental session, 40 e-certificatesare chosen for the implementation. The results reveal that the accuracy is 100% and both of signing and checking processes are completed rapidly fast, especially when signing application is applied with Chinese remainder theorem (CRT) or the special technique of CRT. Therefore, the proposed method is one of the best solutions to protect e-certificate from the forgery by intruders.

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