162 research outputs found

    Analisis Perbandingan Pemodelan Propagasi Nilai Level Daya Terima pada Sistem Dcs 1800 di Kota Pontianak

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    Digital Communication System 1800 is a derivative standard system of GSM 900. A low transmission power is required for a short network and a propagation condition on 1800 MHz band. Level value of receptivity is an indicator to see a signal quality on the BTS coverage. The purpose of the present research is to analyze receptivity level on DCS 1800 system using Okumura-Hatta, Cost231- Hatta, and Walfisch-Ikegami propagation model. This research took place in the city center by measuring receptivity level which was radiated by using a software namely G-Net Track Lite Signal 4G. Results of the calculation and measurement compared with RSRP standard located in DARATSKIP are presented as follows. Results from Okumura-Hatta propagation model were categorized Very Good -58.04 dBm, - 48.58 dBm, and -66.77 dBm. Cost231-Hatta were categorized Very Good -62.39 dBm, -52.92 dBm, and - 77.11 dBm. Further, Walfisch-Ikegami were categorized Fairly Good -88,44 dBm, Very Good -71.66 dBm, -81,49, G-Net Track Lite Not Good -93 dBm, Very Good -78 dBm, and Good -87 dBm. Comparisons of calculation and measurement at BTS Benua Melayu Darat using Okumura-Hatta propagation model were categorized Very Good -70.68 dBm, -59.28 dBm, and -64.21 dBm. Cost231- Hatta were categorized Very Good -71.79 dBm, -60.38 dBm, -68.57 dBm and G-NetTrack Lite were ranked Very Good -77 dBm and Good -83 dBm, 85 dBm. Further, Walfisch-Ikegami were categorized Very Good -79.8 dBm, Good -83.51 dBm, -86.67 dBm. Comparisons of calculation and measurement at BTS Gajah Mada Mall using Okumura-Hatta propagation model were categorized Very Good -64.97 dBm, -58.59 dBm, and -71.22 dBm. Cost 231-Hatta were categorized Very Good -69.34 dBm, -63.2 dBm, and -76.27 dBm. Finally, Walfisch-Ikegami were categorized Very Good -70.06 dBm, Good -90,65 dBm, - 83,01 dBm, while G-Net Track Lite were Good -84 dBm, and Very Good -68 dBm, -67 dBm

    ANALISIS PERFORMANSI JARINGAN 4G LTE OPERATOR HUTCHISON 3 DI RUMAH SAKIT UMUM UNIVERSITAS TANJUNGPURA PONTIANAK

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    Perkembangan telekomunikasi saat ini sangat pesat, maka dari itu diperlukan adanya peningkatan kualitas performansi jaringan 4G LTE (Long Term Evolution). Untuk mengetahui performansi jaringan 4G LTE maka dilakukan walk test untuk mengukur performansi jaringan 4G LTE di Rumah Sakit Umum Universitas Tanjungpura  Pontianak dengan menggunakan aplikasi G-NetTrack Lite berdasarkan 3 parameter yaitu RSRP (Reference Signal Received Power), RSRQ (Reference Signal Received Quality) dan SINR (Signal Interference to Noise Ratio). Hasil penelitian di Gedung A telah diketahui nilai RSRP pada lantai 1 sebesar -107,31 dBm (sangat buruk), lantai 2 sebesar -105 dBm (sangat buruk) dan lantai 3 sebesar -103,13 dBm (sangat buruk). RSRQ lantai 1 sebesar 12,12 dBm (baik), lantai 2 sebesar -12 dBm (baik) dan lantai 3 sebesar -13,33 dBm (baik). Untuk nilai SINR lantai 1 sebesar 0,47 dBm (buruk), lantai 2 sebesar 0,06 dBm (buruk) dan lantai 3 sebesar -0,78 dBm (sangat buruk). Hasil penelitian di Gedung B  telah diketahui nilai RSRP pada lantai 1 sebesar -103,5 dBm (sangat buruk), lantai 2 sebesar -99,67 dBm (sangat buruk) dan lantai 3 sebesar -104 dBm (sangat buruk). Untuk nilai RSRQ lantai 1 sebesar 11,75 dBm (baik),  lantai 2 sebesar -13,17 dBm (baik) dan lantai 3 sebesar -15,33 dBm (buruk). Untuk nilai SINR lantai 1 sebesar 2,25 dBm (buruk), lantai 2 sebesar -0,93 dBm (sangat buruk) dan lantai 3 sebesar 0,27 dBm (buruk). Kualitas sinyal di Rumah Sakit Umum Universitas Tanjungpura Pontianak dalam kategori buruk karena dipengaruhi banyaknya penghalang antara MS (Mobile Station) atau HP (handphone) dengan BTS (Base Transceiver Station) seperti sekat-sekat antar ruangan pada Rumah Sakit Umum Universitas Tanjungpura Pontianak

    Analisis Perbandingan Kualitas Sinyal 4G LTE Pada Beberapa Provider

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    Komunikasi seluler 4G LTE berkembang sangat pesat, untuk itu diperlukan kualitas jaringan yang baik dalam mendukung komunikasi. Salah satu metode menentukan kualitas sinyal 4G LTE adalah dengan melakukan drive test. Pada penelitian ini  Drive test  digunakan untuk menganalisis kualitas sinyal 4G LTE dari beberapa provider di lokasi pengukuran kampus UIN Suska Riau dengan Parameter yang diukur ialah RSRP, RSRQ, SNR dan RSSI. Hasil penelitian menunjukkan bahwa provider yang terbaik adalah provider E dengan RSRP 88,3 dBm, RSRQ -12,3 dB, SNR 12,3 dB dan RSSI -54,6 dBm. Yang kedua provider A dengan RSRP -84 dBm, RSRQ -13 dB, SNR 11,3 dB dan RSSI -54,3 dBm. Yang ketiga provider C dengan RSRP -88,3 dBm, RSRQ-11,3 dB, SNR 6,6 dB, dan RSSI -59,6 dBm. Yang keempat provider D dengan RSRP 101,6 dBm, RSRQ -12 dB, SNR 4,3 dB, dan RSSI    -68,3 dBm. Dan yang kelima provider B dengan RSRP -100,6 dBm, RSRQ -14,3 dB, SNR 1,6 dB, dan RSSI 65dBm. Kata kunci: 4G LTE, RSRP, RSRQ, SNR, dan RSSI

    Analisis Jaringan Base Transceiver Station (Bts) Sidomulyo Terhadap Performansi Jaringan PT. Indosat Sintang

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    The world of communication and information technology in Indonesia have been the basic needs for everyone. The growth of GSM technology is expected to accomodate data and voice services. Therefore, it is needed a well preparation for applying GSM network and for optimizing the network in order to achieve an optimal and profitable network. In this research, the reseracher conducted a measurement on network performance to see the difference on site BTS Sidomulyo performance to its hardware charging such as power system, transmission, and antenna. In order to find the problem exists, it is needed the supporting data such as cluster and Call statistic, by using those data it will be known the difference of using the old hardware and new hardware. Those data are the parameters of the connection endurance level which is occured among voice service networks. Drive test is needed to collect the data from the result of signal quality measurement on a network. The writer used the data from a vendor called PT. Indosat and from those data taken on October 7th 2014. The analysis on GSM network performance which is analyzed based on KPI parameter called call statistic is gained by using G-NetTrack, while CSSR, CDR and CSR are gained by using formula. CSSR gained 96,67%, CDR gained 3,33%, gained 93,38% which show that the network performance is good. Based on the use of BBM in one month is, genset USAge costs Rp. 23.236.000,00 while PLN USAge costs Rp. 5.210.000,00 from the calculation of those sources it is concluded that PLN USAge is more economical rather than genset USAge with the different about Rp. 18.025.500,00

    Model Propagasi Komunikasi Bergerak LTE 1800 Mhz Di Kota Pekanbaru

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    Propagation model is an important part that can be used to design a communication network one of them is mobile communication. The difference in the propagation signal received from the transmitter to the mobile station will result in loss propagation so we need a propagation model that can describe the propagation characteristics of a region such as urban areas in this case is Pekanbaru City. To get the propagation model in accordance with the characteristics of Pekanbaru City the method used is measurement through a drive test. This research aimsto determine the mobile communication propagation model in LTE 1800 MHz that fits the characteristics of Pekanbaru City. Based on the results of the measurement of the value of loss to distance obtained by the propagation model of mobile communication in the city of Pekanbaru with 3 models of the equation, among others linear equation model: L = 5.1 x D + 85, quadratic equation: L = 2.2 x + 3 x  + 86 and cubic equation: L = 0.65 x  + 0.84 x  + 3.6 x D + 86

    Design and Build 4G Open Radio Access Network at SmartLab Politeknik Negeri Jakarta

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    The transition of RAN (Radio Access Network) development from the conventional model to Open RAN is motivated by the fact that Open RAN presents new services by reducing CAPEX (Capital Expenditure) and has the ability to integrate all cellular technologies in one server. One of cellular technology that can be developed using Open RAN is 4G LTE networks. The 4G LTE network produces internet with high data rate and low latency system. Various use case implementations can be carried out, for example to support learning on campus. In this study, the development of Open RAN 4G is implemented as a use case to build the Jakarta State Polytechnic SmartLab which produces its own cellular network. The importance of this research is to be able to ascertain the performance of the Open RAN 4G network using a Centralized RAN scenario. The method used in this research consists of knowing the problem, determining the tools used, determining the implementation scenario, configuring, and testing network performance. Parameters measured to test network performance are uplink downlink speed, RSRP value, and SINR value. Based on the scenarios that have been executed, the results show that the Open RAN 4G network has a maximum downlink speed performance of 13.6 Mbps, a maximum uplink speed of 7.22 Mbps, a maximum SINR of 22 dB, an RSRP of -200 dBm, and a maximum range that can be reached is 5 meters

    Analisis Performansi Jaringan 4G Operator Telkomsel di Kota Tanjungpinang menggunakan Metode Drive Test

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    The existence of a 4G network in Tanjungpinang City has begun to be felt by the community. The number of 4G service users continues to increase, so optimal observation is needed on the quality of the 4G network. Analysis of 4G network performance can be obtained using the drive test method. This method is used to obtain network quality information in real terms in the field. In line with advances in drive test technology, it can be applied more easily, namely using G-NetTrack Pro software. The parameters measured to determine the quality of 4G networks in this study are SINR (Signal to Interference Noice Ratio), RSRP (Reference Signal Receives Power), RSRQ (Reference Signal Receives Quality). Location of the measurement in Tanjungpinang City with the drive test route is started from Ali Haji street– Basuki Rahmat street – Wiratno street  - Sekarno Hatta street - Yos Sudarso street - Usman Harun street - POS street - Bakar Batu street - Brigjen Katamso street - MT Haryono street. The result shows 4G Telkomsel has a good quality with value RSRP -83.48 dBm, RSRQ -11.18 dB, SINR 6.71 dB

    Optimasi Perencanaan Jaringan LTE FDD 1800 MHz di Kota Pekanbaru

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    LTE is a cellular technology developed by 3GPP which has improved from the previous mobile technologies. The implementation of LTE in Indonesia is still not evenly distributed and only for big cities. Hence, it takes some planning and a deeper study for the area that will be implemented by LTE network. Planning and network optimization is necessary in order to meet consumer needs of the LTE network. There are different ways of optimization methods can be used, in previous studies used a joint base station technique, optimization in other research done by changing basic parameters such as replacing the feeder cable and the addition site. In this study optimization techniques used by changing the type of modulation thus affecting the utilization values of SNR. The simulation results based on two scenarios i.e the number of sites for scenario 1in the total of 479 sites, while for scenario 2 indicates number of sites . in the mean time for a signal level coverage for scenario 1 and scenario 2 show -90 dBm and -95 dBm, respectively

    ANALISIS KUALITAS JARINGAN DENGAN TEKNOLOGI MIMO DI SDN 59 REA PANGKEP

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    SDN 59 Rea Pangkep. Peningkatan permintaan layanan internet menimbulkan tuntutan kualitas jaringan yang tinggi, terutama dalam lingkungan pendidikan yang semakin memanfaatkan teknologi dalam pembelajaran. Sebelum pemasangan antena MIMO, SINR pada keempat titik berada pada kisaran -4.8 hingga -6.8 dB,  berada pada kisaran -89.8 hingga -92.3 dBm, setelah pemasangan antenna MIMO terjadi peningkatan RSRP dengan nilai -46 dBm hingga -65 dBm, pada nilai SINR di empat titik pengukuran, dimana semua nilai SINR berada pada kategori normal hingga sangat baik, dengan rentang nilai 16 dB hingga lebih dari 30 dB. Kemudian, dilakukan pengukuran troughput di berbagai lokasi di sekolah tersebut. Hasil pengukuran menunjukkan bahwa nilai troughput berbeda-beda untuk setiap lokasi. Di perpustakaan, nilai troughput berkisar antara 834-862 Mbps, dengan rata-rata sebesar 843 Mbps, di ruang guru, nilai troughput berkisar antara 398-511 Mbps, dengan rata-rata sebesar 505 Mbps, yang masih cukup tinggi dan dapat dianggap sebagai kinerja jaringan yang baik. Di ruang kelas, nilai troughput berkisar antara 396-406 Mbps, dengan rata-rata sebesar 401 Mbps, menunjukkan bahwa jaringan di ruang kelas juga memiliki kinerja yang baik dalam mentransmisikan data. Namun, di ruang tata usaha, nilai troughput justru paling rendah dibandingkan dengan lokasi lainnya, yaitu berkisar antara 38-40 Mbps, dengan rata-rata sebesar 39 Mbps. Hal ini menunjukkan bahwa jaringan di ruang tata usaha memiliki kinerja yang relatif lambat dalam mentransmisikan data. Terakhir, dilakukan pengukuran kecepatan respon jaringan dengan mengakses beberapa situs web seperti Google, Zoom, dan Google Meet, Hasil pengukuran menunjukkan bahwa kecepatan respon jaringan bervariasi tergantung pada ukuran data yang diakses dan situs web yang diakses. Sebagai contoh, waktu respon untuk mengakses situs Google dengan ukuran data 50 KB adalah 25 ms, sedangkan untuk mengakses situs Classroom dengan ukuran data 500 KB adalah 90 ms. Hal menunjukkan bahwa Google Meet memiliki waktu respon tercepat, sedangkan Classroom memiliki waktu respon yang lebih lambat
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