Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Proceeding SENDI_U ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Prosiding 2nd Seminar Nasional IPTEK Terapan (SENIT) 2017 Techno Jurnal INFOTEL Buletin Pos dan Telekomunikasi
Achmad Rizal Danisya
Institut Teknologi Telkom Purwokerto
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Social Sciences

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : Jurnal INFOTEL

 1 
Analisis Perbandingan Pemodelan Pathloss COST-231 Hata dan Walfisch Ikegami Terhadap Pathloss Pengukuran dengan Metode Drive test di Wilayah Banyumas Muntaqo Alfin Amanaf; Achmad Rizal Danisya; Robi Rodian
JURNAL INFOTEL Vol 9 No 4 (2017): November 2017
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v9i4.294

Abstract

Pemodelan Pathloss adalah komponen penting dalam perancangan jaringan komunikasi wireless. Pemodelan Pathloss ini membantu memprediksi seberapa buruk Pathloss atau redaman yang terjadi pada area perencanaan jaringan komunikasi wireless, Tetapi dalam memprediksi Pathloss diperlukan pemilihan beberapa pemodelan Pathloss yang sesuai dengan karakterisik wilayah tertentu agar pada saat implementasi jaringan wireless, jaringan tersebut dapat memberikan layanan komunikasi wireless yang optimal sesuai dengan hasil perancangan. Pada penelitian ini membandingkan  pemodelan Pathloss COST-231 Hata dan Pathloss Walfisch Ikegami terhadap Pasthloss Pengukuran di Wilayah banyumas untuk memilih pemodelan Pathloss yang sesuai dengan karakteristik wilayah banyumas di tiap Cluster Urban, Suburban dan Rural. Pathloss Pengukuran diperoleh melalui mengukur daya terima handphone dengan metode drivetest pada frekuensi 1800 Hz. Pada penelitian ini, penulis menganalisis grafik pathloss dan nilai MSE (Mean Square Error) dari Pathloss Pengukuran terhadap masing-masing pemodelan Pathloss di tiap Cluster. Hasil pada penelitian ini, Pemodelan Pathloss COST-231 Cluster Urban dan Rural mempunyai kesesuaian dengan Pathloss pengukuran dengan nilai MSE adalah 18,16 dB dan 10,33 dB, Sedangkan pada Cluster Suburban mempunyai kesesuaian dengan Pathloss Walfisch Ikegami dengan nilai MSE 5,58 dB.
Analisis User Throughput Based Mobility Load Balancing Menggunakan Prediksi Regresi Logaritmik Reference Signal Received Quality Di Jaringan Akses Radio Long Term Evolution Achmad Rizal Danisya; Rendy Munadi; Sofia Naning Hertiana
JURNAL INFOTEL Vol 10 No 1 (2018): February 2018
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v10i1.350

Abstract

The improvement of Long Term Evolution (LTE) radio access network services is affecting the increased value of traffic load in its network, which is causing traffic unbalance between cells in LTE Radio Access Network (RAN). Users will be served with ineffective resource block allocation which will make the total of gained throughput are not optimal. A method is required to move network load from overloaded cells to underloaded cells in order to balance the resource block allocation optimally. By using NS-3.26 simulation, User Throughput Based (UTB) predictive Mobility Load Balancing (MLB) method is tested with RandomWalkMobilityModel for each user. This method produces an improvement of 2,29 % in average of total throughput of 63,33 % successful optimization.
Analysis And Performance Comparison of Microwave And WiFi 802.11ac Based Backhaul For Long Term Evolution Network In Urban Area Nida Nurvira; Anggun Fitrian Isnawati; Achmad Rizal Danisya
JURNAL INFOTEL Vol 12 No 1 (2020): February 2020
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v12i1.454

Abstract

Increasing user requirements for LTE networks, data traffic from eNodeB to core network is also increases, therefore, the recommended solution for meeting this high data traffic is to use a backhaul network design. Backhaul is the path or network used to connect eNodeB with the core network. In this research, backhaul technology used is wi-fi 802.11ac backhaul and microwave backhaul. In this study begins by collecting existing data, then perform capacity calculations to find out the number of eNodeB needed and to find out the capacity of the backhaul links to be designed, then determine the antenna height to achieve LOS conditions, then calculate the desired performance standards and calculate the backhaul network link budget on microwave and wi-fi technologies. Based on the calculation results in terms of capacity, the total user target is 90,167 users and has a throughput capacity per eNodeB of 61 Mbps. In the link-capacity calculation, the total link capacity is 427 Mbps. From the simulation results that using microwave technology, the average RSL value is -30.90 dBm, the value meets the -57 dBm threshold standard and the value of availability does not meet the standard of 99.999% because the average value obtained is 99.998095%. Whereas for wi-fi technology, the average RSL value is -39.24 dBm and meet the -72 dBm threshold standard, for the average availability value meets 99.999% standard, with a value of 100%. From the results of the two technologies, can be conclude that the wi-fi technology is more suitable for the use of backhaul network design in Ciputat Sub-district.
Outage Performances of 5G Channel Model Influenced by Barometric Pressure Effects in Yogyakarta Solichah Larasati; Serli Ridho Yuliani; Achmad Rizal Danisya
JURNAL INFOTEL Vol 12 No 1 (2020): February 2020
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v12i1.463

Abstract

Abstract — The fifth-generation cellular technology (5G) is predicted to adopt a high-frequency channel, which could lead to a new challenge, namely, wave propagation attenuation. This attenuation is affected by natural conditions, such as barometric pressure, rain rate, humidity, and vegetation density. This paper proposes a 5G channel model under the barometric pressure effect to address the issue. The channel model is obtained from series computer simulations by operating frequency of 28 GHz and real-field parameters of Yogyakarta environments. The 5G channel model frameworks consist of two steps. First, generate the instantaneous Power Delay Profile (PDP) using NYU Wireless Simulator with real-field parameters of the environment. Second, the instantaneous PDP is then used to calculate the representative PDP. PDP differs from one country to another, especially on 5G technology, because of the high-frequency band, which is sensitive to nature. To observe the barometric pressure effect, we need to generate the instantaneous PDP with minimum and maximum barometric effects. PDP value used to calculate the outage probability of channel capacity (C) is smaller than the coding rate (R), indicating a failure of detection at the receiver based on the Shannon theory. Outage probability is obtained by the cumulative distribution function of the capacity evaluated against the coding rate. Outage probability results in both scenarios can reach a point of 10-4, for coding rate ½ needs 17.649883 dB, coding rate ¾ needs 20.020953 dB, and coding rate 1 needs 22 dB. This shows that barometric does not significantly influence the performance of the 5G communication system.
Co-Authors ADE WAHYUDIN Alfin Hikmaturokhman Alfin Hikmaturrohman Anggun Fitrian Isnawati Danny Kurnianto Evan Sigit Kurniawan KHOIRUN NI’AMAH Miftahul Muhdori, Miftahul Muntaqo Alfin Amanaf NI?AMAH,, KHOIRUN NI’AMAH,, KHOIRUN Nida Nurvira NURJANAH, SHELLY Nurweni Widiastuti Rendy Munadi Robi Rodian Rodian, Robi Serli Ridho Yuliani Sofia Naning Hertiana Solichah Larasati Via Lutfita Faradina Hermawan Yuliani, Serli Ridho