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All Journal Journal of Renewable Energy, Electrical, and Computer Engineering Journal of Electrical, Electronic, Mechanical, Informatic and Social Applied Science
Gramandha Wega Intyanto
Department Of Electrical Engineering, Universitas Jember, Jember, 68121
Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Social Sciences

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AMC HETNET Macro and Femto Cell used 10 GHz for Drone Communication with SKE Method around Building Environment Andrita Ceriana Eska; Ali Rizal Chaidir; Gramandha Wega Intyanto
Journal of Electrical, Electronic, Mechanical, Informatic and Social Applied Science Vol. 5 No. 1 (2026): Juni 2026
Publisher : Unit Penelitian, Pengabdian Kepada Masyarakat dan Penjamnan Mutu Akademi Komunitas Negeri Pacitan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58991/mgmgn767

Abstract

Communication propagation between a drone and a HetNet (Heterogeneous Network) gNB (generalized Node B) in uplink conditions. The drone moves on a straight path between built-up environments. The communication frequency of 10 GHz can affect oksigen and water vapor at that frequency. Propagation of communication systems in a building environment can cause diffraction. The diffraction mechanism was modeled with Single Knife Edge (SKE) method. AMC (Adaptive Modulation and Coding) dynamically modifies the coding rate and modulation scheme according to signal quality. MCS (Modulation and Coding Scheme) consisting of QPSK, 16QAM, and 64QAM was used in AMC. Research analysis includes SNR values ​​on the drone path, coverage percentage, and MCS percentage. As a result of research for MCS 64QAM coderate 4/5 with Selection Combining (SC) between HetNet gNB macrocell and gNB femtocell, 64 nodes or 95.52% were obtained. The communication coverage was obtained using MCS for drone communication on this route.
Short-Term Forecasting of Electricity Consumption Using Fuzzy Logic Amri M Rizaldi; Ahmad Ridwan; Yuan Anisa; Rudi Salam; Gramandha Wega Intyanto; Daniel T Cotfas; Vo Hung Cuong; Uduak I. Udoudom
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 3 No. 2 (2023): September 2023
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v3i2.11281

Abstract

The high demand for electricity in the production process at PT Semen Padang requires a system that can cope with various kinds of disturbances. The problem is that the need for electrical loads is dynamic, especially in the short term, allowing fluctuations between electrical loads at uncertain times. A short-term electric energy consumption forecasting method is needed to determine load growth and distributed power supply. This research aims to use a fuzzy logic algorithm to perform short-term electrical energy consumption forecasting and compare the forecasting results with the actual load at PT Semen Padang. The results showed that short-term load forecasting for seven days using the fuzzy Mamdani method, namely Smallest of Maximum (SoM), obtained a percentage MAPE value of 8.15%. Meanwhile, the Weight of Average (WoA) Sugeno defuzzification method gets a portion of the MAPE value of 9.51%. The Sugeno method is more accurate than the Mamdani method in short-term electricity load forecasting for PPI Indarung V PT Semen Padang. If based on the time category, then forecasting the electricity load on holidays is better than predicting on weekdays. However, when viewed in terms of per day, in Wednesday has the smallest average MAPE value of 5.05%.
Co-Authors Ahmad Ridwan Ali Rizal Chaidir Amri M Rizaldi Andrita Ceriana Eska Daniel T Cotfas Rudi Salam Uduak I. Udoudom Vo Hung Cuong Yuan Anisa