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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
 181   182   183   184   185 
Cobb-Douglass Utility Function in Optimizing the Internet Pricing Scheme Model Indrawati Indrawati; Irmeilyana Irmeilyana; Fitri Maya Puspita; Meiza Putri Lestari
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 12, No 1: March 2014
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v12i1.18

Abstract

The greater numbers of internet users the greater challenge will be tackled by ISP to provide good services but gain maximum profit. By analyzing Cobb-Douglass utility function we will obtain optimal pricing scheme. Wu and Banker analyzed modified Cobb-douglass utility function and obtained optimal model of flat fee and two part tariff for homogen consumers meanwhile we focus on getting optimal pricing scheme model by using original Cobb-Douglass utility function. The first step to conduct this research is by formulating Cobb-Douglass utility function then analyzing that function. The results show that we obtain optimal pricing scheme model for homogenous and heterogeneous consumer cases. The two-part tariff pricing scheme yield better optimal solution rather than flat fee and two-part tariff pricing scheme regarding with homogen consumers and heterogen consumers based on willingness to pay. For heterogeneous consumers based on consumption level, the optimal pricing scheme is on two-part tariff pricing scheme.
APLIKASI MIKROKONTROLER AT89S51 PADA SISTEM ANTRIAN DENGAN PENAMPIL DAN SUARA Deo Roseno; Muchlas Muchlas; Tole Sutikno
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 5, No 3: December 2007
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v5i3.1359

Abstract

Antrian pada pusat-pusat layanan jasa publik memerlukan pengaturan yang baik, sehingga tidak terjadi keributan, kekecewaan dan kejenuhan konsumen yang terlalu lama berdiri, dan terjaminnya konsumen mendapat pelayanan oleh petugas sesuai dengan nomor urut antrian yang diambilnya. Banyak layanan jasa publik yang masih menggunakan nomor urut antrian dengan pemanggilan nomor urut antrian secara manual. Berdasarkan permasalahan tersebut timbul suatu gagasan untuk merancang pengaturan antrian yang mudah digunakan. Pengaturan antrian dengan penampil dan suara berbasis mikrokontroler AT89S51 dipilih sebagai alternatif pilihan untuk menggantikan sistem pengaturan antrian dengan pengendali utama menggunakan komputer yang sudah banyak digunakan. Sistem penampil terdiri dari 3 buah penampil 7-segment untuk tampilan nomor urut antrian dan sebuah penampil 7-segment untuk indikasi nomor loket. Pada rangkaian perekam suara IC ISD 2560 terdapat dua switch yang digunakan untuk proses perekaman dan proses playback pesan suara, semua sistem ini dikendalikan oleh mikrokontroler AT89S51. Hasil penelitian menunjukkan bahwa telah dapat direalisasikan sistem pengaturan antrian dengan penampil dan suara berbasis mikrokontroler AT89S51 untuk 3 loket antrian.
Improved Output Voltage Quality using Space Vector Modulation for Multilevel Inverters Auzani Jidin; Syamim Sanusi; Tole Sutikno; Nik Rumzi Nik Idris
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 2: June 2016
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v14i2.3111

Abstract

Space vector modulation (SVM) has received wide acceptance due to many benefits over other techniques such as higher output voltages, lower total harmonic distortion (THD), high-efficiency and flexible to be implemented in vector control systems. In digital implementation, the SVM equations can be optimally computed by eliminate the use of complex forms. In this paper, the simple SVM based on two-level inverter is employed for higher levels of inverters. This is to retain the simplicity of SVM computation for three-level and five-level cascaded H-bridge multilevel inverter (CHMI). Moreover, the proposed method utilizes two controller boards to perform high computational workloads and to eliminate glitch and error problems. Experiment results show that the THD of output voltage in five-level CHMI gives the smallest value among the results obtained from other levels.
Measurement of Dielectric Properties of Low-Density Polyethylene Nanocomposites Using “Sub-Hertz” Dielectric Spectroscopy Mohammad Syamim Mohammad Basri; Lailatul Akmal Abdul Rauf; Mohd Hafizi Ahmad; Noor Azlinda Ahmad; Yanuar Z. Arief; Zulkarnain Ahmad Noorden
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 2: June 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i2.6153

Abstract

Recently, many studies have been conducted on the dielectric properties of Low-Density Polyethylene (LDPE) nanocomposites and produced different results. However, the composition of LDPE polymer and boron nitride (BN) as nanofiller has neither been well understood nor producing a convenient result. Similarly, the dielectric spectroscopy measured at “sub–hertz” frequency has been of little interest among researchers since it is often influenced by “conduction-like” effect. This research identified the dielectric properties of LDPE nanocomposites filled with hexagonal boron nitride (h-BN) nanofillers by using dielectric spectroscopy technique. The dielectric loss and relative permittivity for three different filler concentrations were investigated under “sub-hertz” frequency ranges at room temperature. The cylindrical electrode with guard ring configuration was used to conduct the experiment, in accordance to the ASTM D150 standard. The results revealed that 5 wt% filled polymer has lower loss tangent and permittivity compared to the unfilled polymer, due to the strong interaction between nano-particle and the polymer. This strong interaction is believed to limit the movement of the polymer chain. The decrease in loss tangent also indicates lower quasi-DC at low frequency. However, further increase in the filler loading has recorded an increment in the value of permittivity and loss tangent. This higher effective permittivity is mainly due to the influence of the filler permittivity.
Motion Detection and Clustering Using PCA and NN in Color Image Sequence Mourad Moussa; Nesrine Bdioui; Ali Douik
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 2: April 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i2.7471

Abstract

This paper presents a motion detection method with the use of the Principal Component Analysis. This method is able to detect and track moving objects in a sequence of images. The tested sequence is segmented within the meaning of movement. In this paper, the concept of extracting significant information from a large number of data is adopted to provide an effective method for tracking moving objects on the video image. The principal components are different in term of getting significant information, the nature of motion (the nature of information) is responsible of this difference, the algorithm in this paper distinguish the motion nature and choose the appropriate components to give a best segmentation.
Electromagnetic Characteristics Measurement of Organic Material Absorber Reza Septiawan; Sardjono Trihatmo; Juliati Junde; Dody A. Winarto; Arief Rufiyanto; Erik Madyo Putro; Budi Sulistya; Arky Astasari
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 6: December 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i6.9687

Abstract

Electro Magnetic Compatibility (EMC) Chamber requires high performance absorber material to assure the quality of EMC chamber related to Radio Frequency (RF) shielding effectiveness of the corresponding chamber. RF shielding effectiveness is measured following EN 50147-1 testing method. EMC laboratory of BPPT (Indonesian Agency for the Assessment and Application of Technology uses polyurethane absorber material which absorbs the carbon-neoprene mixture to maintain consistent RF performance over a broad frequency band, especially in the frequency range of CISPR 22 radiated emission test between 30 MHz to 6 GHz, limits in CISPR 22 (Information technology equipment-radio disturbance characteristics-limits and methods of measurement). This paper proposes alternative absorber materials based on organic materials: rice husk, coconut husk, cotton and sawn wood crumbs. In the early phase of this research, the frequency under consideration are 900 MHz and 1800 MHz. These frequencies are mostly used by mobile phone devices, therefore at this phase the resulted organic material absorber may be used for alternative mobile phone casing before to be used as absorber material for EMC laboratory in a broader frequency band. The organic materials are produced by mixing them with cement, carbon, and resin. Free space testing method is used in the measurements. Results has shown a mixture of 50% coconut husk with resin absorb the most radiated emission in 900 MHz, while 30% of coconut husk will absorb the most radiated emission in 1800 MHz.
Prototype of multifunctional transmitter with Rejection of disturbances Holman Montiel Ariza; Fernando Martínez Santa; Fredy H. Martínez S.
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 3: June 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i3.12204

Abstract

The industrial instruments found in the different industrial processes allow supervisory and control actions to be carried out. These elements are usually composed of an electronic circuit, which varies according to the specifications given by the manufacturer. Another factor that influences the design of a circuit for elements of this type is cost, since, at a lower cost, electronic elements are susceptible to fail for reasons such as electric fields, motor interference or environmental conditions. This problem limits the operation of the instrument and reduces its useful life, which causes unnecessary stops of the automated processes increasing the cost of producing a product. Some partial solutions to this problem have been obtained by means of the implementation of additional circuits such as protections or filters, although the number of unexpected stops of the process is reduced, even this type of failures occur. This paper proposes an alternative solution to the problem through a low cost prototype, which has a mechanism for rejection of disturbances that increases the accuracy and precision of an instrument compared to the low-cost instrument technology developed so far.
Deep learning model for thorax diseases detection Ghada A. Shadeed; Mohammed A. Tawfeeq; Sawsan M. Mahmoud
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 1: February 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i1.12997

Abstract

Despite the availability of radiology devices in some health care centers, thorax diseases are considered as one of the most common health problems, especially in rural areas. By exploiting the power of the Internet of things and specific platforms to analyze a large volume of medical data, the health of a patient could be improved earlier. In this paper, the proposed model  is based on pre-trained ResNet-50  for diagnosing thorax diseases. Chest x-ray images are cropped to extract the rib cage part from the chest radiographs. ResNet-50 was re-train on Chest x-ray14 dataset where a chest radiograph images are inserted into the model to determine if the person is healthy or not. In the case of an unhealthy patient, the model can classify the disease into one of the fourteen chest diseases. The results show the ability of ResNet-50 in achieving impressive performance in classifying thorax diseases.
Handwriting identification using deep convolutional neural network method Oka Sudana; I Wayan Gunaya; I Ketut Gede Darma Putra
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 4: August 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i4.14864

Abstract

Handwriting is a unique thing that produced differently for each person. Handwriting has a characteristic that remain the same with single writer, so a handwriting can be used as a variable in biometric systems. Each person have a different form of handwriting style but with a small possibility that same characters have something commons. This paper proposes a handwriting identification method using sentence segmented handwriting forms. Sentence form is used to get more complete handwriting characteristics than using a single characters or words. Dataset used is divided into three categories of images, binary, grayscale, and inverted binary. All datasets have same image with different in color and consist of 100 class. Transfer learning used in this paper are pre-trained model VGG19. Training was conducted in 100 epochs. Highest result is grayscale images with genuince acceptance rate of 92.3% and equal error rate of 7.7%.
PhosopNet: An improved grain localization and classification by image augmentation Pakpoom Mookdarsanit; Lawankorn Mookdarsanit
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 2: April 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i2.18321

Abstract

Rice is a staple food for around 3.5 billion people in eastern, southern and south-east Asia. Prior to being rice, the rice-grain (grain) is previously husked and/or milled by the milling machine. Relevantly, the grain quality depends on its pureness of particular grain specie (without the mixing between different grain species). For the demand of grain purity inspection by an image, many researchers have proposed the grain classification (sometimes with localization) methods based on convolutional neural network (CNN). However, those papers are necessary to have a large number of labeling that was too expensive to be manually collected. In this paper, the image augmentation (rotation, brightness adjustment and horizontal flipping) is appiled to generate more number of grain images from the less data. From the results, image augmentation improves the performance in CNN and bag-of-words model. For the future moving forward, the grain recognition can be easily done by less number of images.

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