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The Readiness of Palm Oil Industry in Enterprise Resource Planning

10.12928/telkomnika.v16i6.9883
Darius; Bina Darma University Antoni , Deni; Bina Darma University Fikari , Muhamad; Bina Darma University Akbar , Ferry; Edith Cowan University Jie
The palm oil industry is one of the sources of non-oil and gas foreign exchange of Indonesia. It contributes to National Gross Domestic Product at 13.96% in 2017. This study aims to examine the readiness of palm oil industry in the implementation of Enterprise Resources Planning (ERP). The readiness of palm oil industry in implementing ERP, is not only about a large cost, but also the ERP has required great resources including human respurces, technology, management, and process and data. Thus, it should fit the needs of the industry. Using the Critical Success Factors (CSF) method, this study employs five dimensions of the ERP readiness, that is management, process, technology, data, and personnel. A survey research method is employed to acquire the data and there are 19 items for those five dimensions. A gap analysis is employed to analyse the data and this method is used to determinethe disparity between existing conditions and future expectations. The findings reveal that the palm oil industry is well prepared to implement the ERP from four dimensions of management, technology, process and personnel.The management factor is the one of an factor of readiness in the ready category together with other factors including process, and human resources. Technology is the best factor which has led to increasing demands for building a strong information technology infrastructure to integrate business processes. The company needs to complete the master data onto the database and change the database system integrated into a single database that causes data is lack of ready data in ERP implementation.
Volume: 16
Issue: 6
Page: 2692-2702
Publish at: 2018-12-01

Optimization Learning Vector Quantization Using Genetic Algorithm for Detection of Diabetics

10.11591/ijeecs.v12.i3.pp1111-1116
Inggih Permana , Nesdi Evrilyan Rozanda , Fadhilah Syafria , Febi Nur Salisah
This study proposed the method to improve the result of Learning Vector Quantization (LVQ) by optimizing the weight vectors using a genetic algorithm (GA) to detect the diabetics. Initial value of individuals for GA is taken from weight vectors which come from the last m iterations of LVQ training result. The result of experiment showed that there is a significant increase in sensitivity level, however there is a significant decrease in specificity level. It means the proposed method success in improving the LVQ ability to recognized the diabetics, but it lowers the ability of LVQ to recognize the people unaffected by diabetes.This study proposed the method to improve the result of Learning Vector Quantization (LVQ) by optimizing the weight vectors using a genetic algorithm (GA) to detect the diabetics. Initial value of individuals for GA is taken from weight vectors which come from the last m iterations of LVQ training result. The result of experiment showed that there is a significant increase in sensitivity level, however there is a significant decrease in specificity level. It means the proposed method success in improving the LVQ ability to recognized the diabetics, but it lowers the ability of LVQ to recognize the people unaffected by diabetes.
Volume: 12
Issue: 3
Page: 1111-1116
Publish at: 2018-12-01

The Application of General MOS Gas Sensors for Discriminating Formalin Content

10.12928/telkomnika.v16i6.10363
Arief; Jenderal Soedirman University Sudarmaji , Budi; Muria Kudus University Gunawan , Shoufika; Muria Kudus University Hilyana , Henry; Jenderal Soedirman University Fernando , Agus; Jenderal Soedirman University Margiwiyatno
This paper describes the application of Metal Oxide Semiconductor (MOS) gas sensors which are intrinsically designed to sense volatile compounds for measuring the vapor of formalin. We utilized 7 commercial MOS gas sensors (namely TGS-2600, TGS-2602, TGS-2620, TGS-813, MQ-137, MQ-135, and MQ-5) to sense formalin in certain concentrations and their presence in meat. We built a static headspace system to measure the vapor of formalin. The sensor chamber is 540-cm3, made from 5 mm acrylic. The output of MOS (Sensitivity ratio) is acquired into computer using an Arduino-based interface. We tested 3 concentrations of formalin (10%, 20% and 30%) and their presence in meat. We found that individually each sensor provides proportional response to formalin concentrations, and for their presence in meat as well. The Principle Component Analysis (PCA) method is used to show performance of the array MOS sensor in discriminating the formalin contents. The PCA result shows that by using two PCs (holding most 96% data), it can clearly distinguish the three formalin contents. However the array sensors just can discriminate clearly between meat containing formalin and those not. The success rate of discrimination the formalin contents in meat is 91.7%.
Volume: 16
Issue: 6
Page: 2905-2912
Publish at: 2018-12-01

Eigenvalue of Analytic Hierarchy Process as The Determinant for Class Target on Classification Algorithm

10.11591/ijeecs.v12.i3.pp1257-1264
Mustakim Mustakim , Novia Kumala Sari , Jasril Jasril , Ismu Kusumanto , Nurul Gayatri Indah Reza
Data mining has two main concepts of data distribution, namely supervised learning and unsupervised learning. The most easily recognizable concepts from data distribution is related to the dataset, with and without target class. Analytic Hierarchy Process (AHP) technique that carries the concept of pairwise comparison able to answer the problem related to the dataset, which is to change unsupervised to be supervised by determining eigenvalue value of each attribute and sub attribute in AHP method. The case study conducted in this issue is related to determining the target classes used to predict the success of a student learning in UIN Suska Riau. The three main attributes are Procrastination, Total Credits (SKS) and Number of Repeated Courses, each having eigenvalues of 0.319; 0.189 and 0.171 which become the feedback in the determination of the Target Timely Graduation (TG) or Possibility of Timely Graduation (PTG). The biggest consistency ratio generated in the AHP case is 9.4% in the GPA attribute. This research recommends that further research should use datasets that have been arranged based on experimental combinations of the three main attributes above, then applied to the classification or prediction algorithm. So that it would obtain a decision of accuracy from data used against the real result on the field.
Volume: 12
Issue: 3
Page: 1257-1264
Publish at: 2018-12-01

Comparison of Neural Network Training Algorithms for Classification of Heart Diseases

10.11591/ijai.v7.i4.pp185-189
Hesam Karim , Sharareh R. Niakan , Reza Safdari
Heart disease is the first cause of death in different countries. Artificial neural network (ANN) technique can be used to predict or classification patients getting a heart disease. There are different training algorithms for ANN. We compared eight neural network training algorithms for classification of heart disease data from UCI repository containing 303 samples. Performance measures of each algorithm containing the speed of training, the number of epochs, accuracy, and mean square error (MSE) were obtained and analyzed. Our results showed that training time for gradient descent algorithms was longer than other training algorithms (8-10 seconds). In contrast, Quasi-Newton algorithms were faster than others (<=0 second). MSE for all algorithms was between 0.117 and 0.228. While there was a significant association between training algorithms and training time (p<0.05), the number of neurons in hidden layer had not any significant effect on the MSE and/or accuracy of the models (p>0.05). Based on our findings, for development an ANN classification model for heart diseases, it is best to use Quasi-Newton training algorithms because of the best speed and accuracy.
Volume: 7
Issue: 4
Page: 185-189
Publish at: 2018-12-01

Stochastic Computing Correlation Utilization in Convolutional Neural Network Basic Functions

10.12928/telkomnika.v16i6.8955
Hamdan; Universiti Teknologi Malaysia Abdellatef , Mohamed Khalil; Universiti Teknologi Malaysia Hani , Nasir Shaikh; Universiti Teknologi Malaysia Husin , Sayed Omid; Universiti Teknologi Malaysia Ayat
In recent years, many applications have been implemented in embedded systems and mobile Internet of Things (IoT) devices that typically have constrained resources, smaller power budget, and exhibit "smartness" or intelligence. To implement computation-intensive and resource-hungry Convolutional Neural Network (CNN) in this class of devices, many research groups have developed specialized parallel accelerators using Graphical Processing Units (GPU), Field-Programmable Gate Arrays (FPGA), or Application-Specific Integrated Circuits (ASIC). An alternative computing paradigm called Stochastic Computing (SC) can implement CNN with low hardware footprint and power consumption. To enable building more efficient SC CNN, this work incorporates the CNN basic functions in SC that exploit correlation, share Random Number Generators (RNG), and is more robust to rounding error. Experimental results show our proposed solution provides significant savings in hardware footprint and increased accuracy for the SC CNN basic functions circuits compared to previous work.
Volume: 16
Issue: 6
Page: 2835-2843
Publish at: 2018-12-01

Transfer Function, Stabilizability, and Detectability of Non-autonomous Riesz-spectral Systems

10.12928/telkomnika.v16i6.10112
Sutrima; Sebelas Maret University Sutrima , Christiana Rini; Gadjah Mada University Indrati , Lina; Gadjah Mada University Aryati
Stability of a state linear system can be identified by controllability, observability, stabilizability, detectability, and transfer function. The approximate controllability and observability of non-autonomous Riesz-spectral systems have been established as well as non-autonomous Sturm-Liouville systems. As a continuation of the establishments, this paper concern on the analysis of the transfer function, stabilizability, and detectability of the non-autonomous Riesz-spectral systems. A strongly continuous quasi semigroup approach is implemented. The results show that the transfer function, stabilizability, and detectability can be established comprehensively in the non-autonomous Riesz-spectral systems. In particular, sufficient and necessary conditions for the stabilizability and detectability can be constructed. These results are parallel with infinite dimensional of autonomous systems.
Volume: 16
Issue: 6
Page: 3024-3033
Publish at: 2018-12-01

Statistical Tuning Chart for Mapping Porosity Thickness: a Case Study of Channel Sand Bodies in the Kutei Basin Reservoir

10.12928/telkomnika.v16i6.9660
Abdul; Universitas Indonesia Haris , Agus; Universitas Indonesia Riyanto , Sri; Universitas Indonesia Mardiyati
Reservoir assessment is not only controlled by the structural framework but also stratigraphical features. Stratigraphical interpretation, which is related to seismic amplitude interpretation, is used to describe petrophysical aspects of channel sand reservoirs such as net porosity and thickness. This paper aims to map the porosity thickness for a case study of channel sand bodies reservoir in the Kutei basin. The study area is complex channel reservoir system that appears to occupy specific area within the depositional system. The geometry of the sediment channel, which thins toward the channel margins, makes this feature similar to be wedge model that could possibly be influenced by tuning effects. The tuning effects introduce pitfall in interpreting high-quality reservoir that is affected by contrasts in acoustic impedance. In order to distinguish high amplitude responses caused by tuning effects and acoustic properties, the analysis of amplitude responses needs to be correlated to the reservoir thickness. The statistical tuning chart is one of the techniques used to correlate amplitude responses and the reservoir thickness. The application of this technique to real data sets shows net porosity thickness map over the targeted reservoir. Thus, high-quality reservoir characterization can be performed to delineate geometric framework of the reservoir.
Volume: 16
Issue: 6
Page: 2676-2682
Publish at: 2018-12-01

A Compact Reconfigurable Dual Band-Notched Ultra-Wideband Antenna using Varactor Diodes

10.12928/telkomnika.v16i6.11552
Sam Weng; Universiti Teknikal Malaysia Melaka (UTeM) Yik , Zahriladha; Universiti Teknikal Malaysia Melaka (UTeM) Zakaria , Herwansyah; Universiti Teknikal Malaysia Melaka (UTeM) Lago , Noor Azwan; Universiti Teknikal Malaysia Melaka (UTeM) Shairi
In this paper, a reconfigurable dual band-notched ultra-wideband (UWB) antenna is presented. The antenna design consists of a circular shape with two pairs of the L-resonator. To realize the notch characteristics in WLAN at 5.2 GHz and 5.8 GHz bands, the half wavelength of the L-resonator is introduced in the design. The T-shaped notch is etched in the ground to enhance the bandwidth which covers the UWB operating frequency range from 3.219 – 10.863 GHz. The proposed reconfigurable dual band-notched UWB antenna shows good impedance matching for the simulated in the physical layout. Furthermore, the proposed antenna has a compact size of 37.6 x 28 mm2. This proposed reconfigurable design can provide an alternative solution for the wireless system in the designing of a band-notched antenna with a good tuning capability.
Volume: 16
Issue: 6
Page: 2557-2562
Publish at: 2018-12-01

Particle Filter with Integrated Multiple Features for Object Detection and Tracking

10.12928/telkomnika.v16i6.9466
Muhammad; Institut Teknologi Sepuluh Nopember Attamimi , Takayuki; The University of Electro-Communications Nagai , Djoko; Institut Teknologi Sepuluh Nopember Purwanto
Considering objects in the environments (or scenes), object detection is the first task needed to be accomplished to recognize those objects. There are two problems needed to be considered in object detection. First, a single feature based object detection is difficult regarding types of the objects and scenes. For example, object detection that is based on color information will fail in the dark place. The second problem is the object’s pose in the scene that is arbitrary in general. This paper aims to tackle such problems for enabling the object detection and tracking of various types of objects in the various scenes. This study proposes a method for object detection and tracking by using a particle filter and multiple features consisting of color, texture, and depth information that are integrated by adaptive weights. To validate the proposed method, the experiments have been conducted. The results revealed that the proposed method outperformed the previous method, which is based only on color information.
Volume: 16
Issue: 6
Page: 3008-3015
Publish at: 2018-12-01

Design of Dual Band Microstrip Antenna for Wi-Fi and WiMax Applications

10.12928/telkomnika.v16i6.10016
Raad H.; Almustansiryiah University Thaher , Zainab S.; Almustansiryia University Jamil
 In this paper, a dual band rectangular microstrip patch antenna with microstrip line is presented. The proposed antenna is designed on FR4 substrate with thickness 1.5 mm and relative permittivity 4.3. The antenna is designed to operate at 2.4/5.8 GHz bands for Wi-Fi/WiMax applications. The obtained return loss is -32.77dB at 2.4 GHz with 7.4% bandwidth and -25.955 dB at 5.8 GHz with 8.17% bandwidth. The practical and simulation result are computed. It is noted that there is a good agreement between the simulation and measured result (using vector network analyzer (VNA)).
Volume: 16
Issue: 6
Page: 2864-2870
Publish at: 2018-12-01

Elliptical BandPassThree Dimensional Frequency Selective Surface with Multiple Transmission Zeros

10.11591/ijeecs.v12.i3.pp1020-1029
Bimal Raj Dutta , Binod Kumar Kanaujia , Chhaya Dalela
An elliptic band pass response three-dimensional Frequency Selective Surface (3D FSS) is designed from a single unit cell of 2D array of two shielded microstrip lines. The designed FSS provides pseudo-elliptic band-pass frequency response (5.4 – 9.6) GHz with its application in long-distance radio telecommunications and space communications etc. The four transmission zeros at 5.4GHz, 9.6GHz, 12.4GHz and 15GHz provides wide out-of-band frequency rejection. The 3D FSS is independent of the variations in the incident angle of the plane wave up to 60 degree. Each unit cell is a combination of two shielded microstrip lines with one having an air gap and the other one having in between rectangular metallic plate. When a TE polarized plane wave incidents perpendicular to the perfect electric conductor (PEC) boundary walls shielded microstrip lines, it results in two quasi-TEM modes namely air and substrate mode. The 3D FSS consists of multiple resonators with a multimode cavity having number of propagating modes. These resonating modes in phase provide transmission poles and when out of phase give transmission zeros. The 3D FSS structure is simulated using Ansys HFSS software with improved performance over 2DFSS, for many practical applications such as antenna sub-reflector, radomes and spatial filters.
Volume: 12
Issue: 3
Page: 1020-1029
Publish at: 2018-12-01

Assessment of Internet Banking Services Continued Use: Role of Socio-Cognitive and Relational View

10.12928/telkomnika.v16i6.4059
Mira; International Islamic University Malaysia Kartiwi , Ali; Misurata University Rfieda
Recently, continued use of information systems in general and particularly the context of internet banking has drawn increasing attention both in academic and trade literatures. However, different perspectives that determine the continued use of internet banking has been addressed. Given the long-term goal of any business entity is to increase its productivity, expand its customer base and maximize revenues, it is crucial for banks offering internet banking services to focus on encouraging their customers to continually use internet banking. While emerging attention had been given on the assessment of continued use of internet banking services from single view, little of attention were given from researchers to combine different views in a single comprehensive model. Yet, it is believe that combining different views would provide a better understanding to the issues surrounding the continued use. Drawing on the literature, this study developed a model to determine factors that influence the continued use of internet banking by combining factors from the socio-cognitive view and the relational view. Using a survey questionnaire, 450 questionnaires were distributed to users of internet banking in Libya. A number of interesting findings emerged, among others, is the lack of association between trust and perception to continue using the internet banking services in Libya.
Volume: 16
Issue: 6
Page: 2817-2827
Publish at: 2018-12-01

Underwater Image De-nosing using Discrete Wavelet Transform and Pre-Whitening Filter

10.12928/telkomnika.v16i6.9236
Mohanad Najm; University of Technology Abdulwahed , Ali Kamil; University of Technology Ahmed
Image denoising and improvement are essential processes in many underwater applications. Various scientific studies, including marine science and territorial defence, require underwater exploration. When it occurs underwater, noise power spectral density is inconsistent within a certain range of frequency, and the noise autocorrelation function is not a delta function. Therefore, underwater noise is characterised as coloured noise. In this study, a novel image denoising technique is proposed using discrete wavelet transform with different basis functions and a whitening filter, which converts coloured noise characteristics to white noise prior to the denoising process. Results of the proposed method depend on the following performance measures: peak signal-to-noise ratio (PSNR) and mean squared error. The results of different wavelet bases, such as Debauchies, biorthogonal and symlet, indicate that the denoising process that uses a pre-whitening filter produces more prominent images and better PSNR values than other methods.
Volume: 16
Issue: 6
Page: 2622-2629
Publish at: 2018-12-01

Hybrid Filter Scheme for Optimizing Indoor Mobile Cooperative Tracking System

10.12928/telkomnika.v16i6.10162
Rafina Destiarti; Institut Teknologi Telkom Purwokerto Ainul , Prima; Politeknik Elektronika Negeri Surabaya Kristalina , Amang; Politeknik Elektronika Negeri Surabaya Sudarsono
The precise indoor tracking system using Xbee signal strength protocol has become a potential research to the WSN applications. The main aspects for the success tracking system is accuracy performance based on location estimation. The improvement of location estimation is complicated issue, especially using RSSI with low accuracy due to the signal attenuation from multipath effect at indoor propagation. Hence, many existing research typically focused on specific methods for providing improvement schemes at tracking system area. Then, we propose hybrid filter schemes, including extended gradient filter (EGF) for filtering noise signal based distance modification, and modified extended Kalman filter (MIEKF) will be combined with trilateration for filtering the error position estimation. Using mobile cooperative tracking scenario refers to our previous work, the proposed hybrid filter scheme which is called modified iterated extended gradient Kalman filter (MIEGKF) can optimize the error estimation around 41.28% reduction with 0.63 meters MSE (mean square error) value.
Volume: 16
Issue: 6
Page: 2536-2548
Publish at: 2018-12-01
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