Jurnal Infotel (Sekolah Tinggi Teknologi Telematika Telkom Purwokerto)
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Classification Based on Configuration Objects by Using Procrustes Analysis
Full text linkClassification is one of the data mining topics that will predict an object to go into a certain group. The prediction process can be performed by using similarity measures, classification trees, or regression. On the other hand, Procrustes refers to a technique of matching two configurations that have been implemented for outlier detection. Based on the result, Procrustes has a potential to tackle the misclassification problem when the outliers are assumed as the misclassified object. Therefore, the Procrustes classification algorithm (PrCA) and Procrustes nearest neighbor classification algorithm (PNNCA) were proposed in this paper. The results of those algorithms had been compared to the classical classification algorithms, namely k-Nearest Neighbor (k-NN), Support Vector Machine (SVM), AdaBoost (AB), Random Forest (RF), Logistic Regression (LR), and Ridge Regression (RR). The data used were iris, cancer, liver, seeds, and wine dataset. The minimum and maximum accuracy values obtained by the PrCA algorithm were 0.610 and 0.925, while the PNNCA were 0.610 and 0.963. PrCA was generally better than k-NN, SVM, and AB. Meanwhile, PNNCA was generally better than k-NN, SVM, AB, and RF. Based on the results, PrCA and PNNCA certainly deserve to be proposed as a new approach in the classification process.Classification is one of the data mining topics that will predict an object to go into a certain group. The prediction process can be performed by using similarity measures, classification trees, or regression. On the other hand, Procrustes refers to a technique of matching two configurations that have been implemented for outlier detection. Based on the result, Procrustes has a potential to tackle the misclassification problem when the outliers are assumed as the misclassified object. Therefore, the Procrustes classification algorithm (PrCA) and Procrustes nearest neighbor classification algorithm (PNNCA) were proposed in this paper. The results of those algorithms had been compared to the classical classification algorithms, namely k-Nearest Neighbor (k-NN), Support Vector Machine (SVM), AdaBoost (AB), Random Forest (RF), Logistic Regression (LR), and Ridge Regression (RR). The data used were iris, cancer, liver, seeds, and wine dataset. The minimum and maximum accuracy values obtained by the PrCA algorithm were 0.610 and 0.925, while the PNNCA were 0.610 and 0.963. PrCA was generally better than k-NN, SVM, and AB. Meanwhile, PNNCA was generally better than k-NN, SVM, AB, and RF. Based on the results, PrCA and PNNCA certainly deserve to be proposed as a new approach in the classification process
Analysis the impact of sun outage and satellite orbit at performance of the telkom 3S satellite communication system
Full text linkSatellites of communication are located at altitude of thousands kilometers above the earth's surface, so the signal is transmitted by satellite to earth station is very susceptible to interference. Every March and September equinox or when the sun crosses the Earth's equator for several days, earth station occurs a naturally interference called by sun outage. At this time, satellite and the sun reach the closest distance because satellite's position is same direction with the sun. This interference makes the signal received by earth station weaken and even disappears due to temperature noise which increases drastically. Loss of signal on the downlink side caused by noise greatly affects to the performance of satellite communication system. This study aims to analyze the effect of sun outage and satellite orbit to determine sun outage period on the performance of Telkom 3S satellite communication system. The results obtained that indicate the signal quality is represented by degradation in the Carrier to Noise Ratio (C/N) from 14,777 dB to 6,0 dB, Energy bits per Noise Ratio (Eb/No) from 11,515 dB to 2,738 dB, and increase the Bit Error Rate (BER) from 8,29×10-7 to 11,08×10-3. In addition, sun outage makes lost of satellite communication traffic and affecting link availability to 99,855324%. Meanwhile, the result from satellite orbit calculation for sun outage period based on ITU-R S.1525 standard and based by satellite’s handbook.
Keywords – Telkom 3S satellite, sun outage, C/N, Eb/No, BER, link availability, sun outage period.Satelit komunikasi berada pada ketinggian ribuan kilometer di atas permukaan bumi, sehingga sinyal yang dikirimkan satelit ke stasiun bumi sangat rentan terhadap gangguan. Setiap equinox Maret dan September atau ketika matahari melintasi equator bumi selama beberapa hari, stasiun bumi terjadi gangguan alami yang disebut dengan sun outage. Saat itu, satelit dan matahari mencapai jarak terdekat karena posisi satelit searah dengan matahari. Interferensi ini membuat sinyal yang diterima stasiun bumi melemah bahkan menghilang akibat noise suhu yang meningkat drastis. Kehilangan sinyal pada sisi downlink akibat noise sangat mempengaruhi kinerja sistem komunikasi satelit. Penelitian ini bertujuan untuk menganalisis pengaruh pemadaman matahari dan orbit satelit untuk mengetahui periode sun outage terhadap kinerja sistem komunikasi satelit Telkom 3S. Hasil yang diperoleh menunjukkan bahwa kualitas sinyal diwakili oleh penurunan Carrier to Noise Ratio (C/N) dari 14,777 dB menjadi 6,0 dB, Energy Bits per Noise Ratio (Eb/No) dari 11,515 dB menjadi 2,738 dB, dan meningkatnya Bit Error Rate (BER) dari 8,29 × 10-7 menjadi 11,08 × 10-3. Selain itu, sun outage mengakibatkan hilangnya trafik komunikasi satelit dan mempengaruhi availability link hingga 99,855324%. Sedangkan hasil perhitungan orbit satelit untuk periode pemadaman matahari berdasarkan standar ITU-R S.1525 dan berdasarkan buku pedoman satelit.
Kata kunci - Satelit Telkom 3S, pemadaman matahari, C/N, Eb/No, BER, availability link, periode sun outage
Determination of the Type of Heart Syndrome in Traditional Chinese Medicine with the Bayesian Network Method
Full text linkThe determination of a disease syndrome in the TCM is difficult enough to determine because it requires a lot of experience in observing patients' symptoms that appear in disease syndrome and their disease syndrome history. Symptoms that appear in one disease syndrome are varied and can also appear in other disease syndromes. This research limits the determination of the type of syndrome only in the heart organ. The purpose of this study is to determine the type of heart syndrome in TCM by using Bayesian Networks. Bayesian Networks is used because it has the advantage of adapting expert knowledge toward the preferences of symptoms that arise at a type of heart syndrome. The expert's preference is in the weights that act as prior probabilities that are used as the basis for calculations on the Bayesian Networks. The results showed that the Bayesian Networks can be used to determine the type of heart syndrome well. The results of trials on 7 patients yield the same diagnosis between the doctor's diagnosis and the Bayesian Networks calculatio
Analysis of Utilization Bandwidth and Power Transponder Extended C-Band On The Satellite Telkom 3S VSAT SCPC
Full text linkOn satellite communication systems, bandwidth and power are limited and expensive resources. Optimization of bandwidth and power utilization in Telkom 3S Satellite could be achieved if the ratio value of the percentage of bandwidth and power is 1: 1. The optimization conditions are influenced by the calculation of the link budget, the use of appropriate modulation and FEC settings. QPSK and 8-PSK modulation techniques with FEC used are ¾, 7/8, and 0.9 with a 9 m Hub antenna and VSAT SCPC with a diameter of 2.4 m and the same data rate of 1024 kbps. Based on the results of this research, the lower the modulation technique used, the lower the ratio of bandwidth and power. The most optimal FEC value to be used is 8-PSK modulation at FEC 0.93 with the resulting percentage is 97.25%, where the total carrier bandwidth generated is 93.415, and the amount of carrier power is 96.05, while the worst is modulation QPSK is at the FEC of 3/4 by producing a percentage of 35% which falls into the limited power category. Thus, the most appropriate modulation used on the Telkom 3S Satellite is the 8-PSK modulation with an FEC of 0.93.On satellite communication systems, bandwidth and power are limited and expensive resources. Optimization of bandwidth and power utilization in Telkom 3S Satellite could be achieved if the ratio value of the percentage of bandwidth and power is 1: 1. The optimization conditions are influenced by the calculation of the link budget, the use of appropriate modulation and FEC settings. QPSK and 8-PSK modulation techniques with FEC used are ¾, 7/8, and 0.9 with a 9 m Hub antenna and VSAT SCPC with a diameter of 2.4 m and the same data rate of 1024 kbps. Based on the results of this research, the lower the modulation technique used, the lower the ratio of bandwidth and power. The most optimal FEC value to be used is 8-PSK modulation at FEC 0.93 with the resulting percentage is 97.25%, where the total carrier bandwidth generated is 93.415, and the amount of carrier power is 96.05, while the worst is modulation QPSK is at the FEC of 3/4 by producing a percentage of 35% which falls into the limited power category. Thus, the most appropriate modulation used on the Telkom 3S Satellite is the 8-PSK modulation with an FEC of 0.93
The Communication System of Building from Outdoor to Indoor with AMC at 10 GHz
Full text linkThe propagation model of communication systems was used propagation from outdoor to indoor of building. In the inside that building used partition with brick. That propagation condition used downlink condition from mobile station side. The communication frequency used 10 GHz. Some parameter variation was used in this research such as radio base station coverage, mobile station location of building, and code rate communication. The coverage variation of radio base station used femtocell and picocell. As the result described signal to noise ratio (SNR)at every node communication, adaptive modulation and coding (AMC) variation, and coverage area percentage in the building. The modulation and coding scheme (MCS) was used consist of QPSK, 16 QAM, and 64 QAMThe propagation model of communication systems was used propagation from outdoor to indoor of building. In the inside that building used partition with brick. That propagation condition used downlink condition from mobile station side. The communication frequency used 10 GHz. Some parameter variation was used in this research such as radio base station coverage, mobile station location of building, and code rate communication. The coverage variation of radio base station used femtocell and picocell. As the result described signal to noise ratio (SNR)at every node communication, adaptive modulation and coding (AMC) variation, and coverage area percentage in the building. The modulation and coding scheme (MCS) was used consist of QPSK, 16 QAM, and 64 QA
Increasing LTE-Advanced Network Capacity Using The Inter-band Carrier Aggregation (Downlink Side) Method
Full text linkAccording 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.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. This 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
No full textCancer 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. The accuracy resulting from the classification of Random Forests is not optimal because microarrays have large dimensional data. Therefore, it is necessary to reduce the dimensions of the Discrete Wavelet Transform (DWT) as a feature to reduce dimensions and increase accuracy in microarray data. 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 80%, and central nervous system 83.33%.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. The accuracy resulting from the classification of Random Forests is not optimal because microarrays have large dimensional data. Therefore, it is necessary to reduce the dimensions of the Discrete Wavelet Transform (DWT) as a feature to reduce dimensions and increase accuracy in microarray data. 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 80%, and central nervous system 83.33%
