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INVESTIGASI KINERJA ANTENA BERDASARKAN DISPERSI ANOMALI METAMATERIAL STRUKTUR HEKSAGONAL SPLIT RING RESONATOR Yan Soerbakti; Romi Fadli Syahputra; Saktioto Saktioto; Moh. Danil Hendry Gamal
Komunikasi Fisika Indonesia Vol 17, No 2 (2020)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.17.2.74-79

Abstract

Metamaterial (MTM) anomaly dispersion characteristics have a great interest to be analyzed in the potential for increasing antenna performance. Dispersion material with a simple structure is able to cover the weaknesses of the antenna parameters. Characterization and optimization need to be applied to the MTM antenna design to obtain more effective antenna performance. Antenna operation is performed at 0-9 GHz microwave frequency with four SRR-H MTM structures varying in three radii of 2.5 mm, 2.7 mm, and 2.9 mm. The highest MTM characteristics occurred at four SRR-H radii of 2.9 mm with a refractive index of -8.5 which resulted in antenna parameters RL -48.8 dB, 5.98 dBi, and working frequency of 1.09-9.00 GHz. Antenna radiation occurs precisely in all MTM structures with an isotropic pattern or in all directions of 4.63 dBi at a frequency of 5.976 GHz.
Negative refractive index anomaly characteristics of SRR hexagonal array metamaterials Soerbakti, Yan; Gamal, Moh Danil Hendry; Zamri, Zamri; Defrianto, Defrianto; Syahputra, Romi Fadli
Science, Technology and Communication Journal Vol. 4 No. 2 (2024): SINTECHCOM Journal (February 2024)
Publisher : Lembaga Studi Pendidikan and Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v4i2.261

Abstract

Metamaterials possess distinct characteristics that make them very suitable for scientific investigation. This phenomenon's hallmark has left scientists perplexed and skeptical. Researchers have conducted numerous studies to explore the composition of one or more metamaterials. This project focused on the development of a linear-sequence metamaterial. Next, we examined the alterations in the optical characteristics of the metamaterial. The utilized frequency range is 0 to 9 GHz. We construct the hexagonal split ring resonance (SRR) metamaterial with a radius of 2.9 mm, consisting of one to four hexagonal SRRs. The findings revealed that the SRR hexagonal metamaterial structure had the highest negative refractive index value, reaching -9.33 in combinations of four hexagonal SRRs.
Comparison of Short-Term Load Forecasting Based on Kalimantan Data Syalam Ali Wira Dinata; Muhammad Azka; Primadina Hasanah; Suhartono Suhartono; Moh Danil Hendry Gamal
Indonesian Journal of Statistics and Applications Vol 5 No 2 (2021)
Publisher : Departemen Statistika, IPB University dengan Forum Perguruan Tinggi Statistika (FORSTAT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v5i2p243-259

Abstract

This paper investigates a case study on short term forecasting for East Kalimantan, with emphasis on special days, such as public holidays. A time series of load demand electricity recorded at hourly intervals contains more than one seasonal pattern. There is a great attraction in using a modelling time series method that is able to capture triple seasonalities. The Triple SARIMA model has been adapted for this purpose and competitive for modelling load. Using the least squares method to estimate the coefficients in a triple SARIMA model, followed by model building, model assumptions and comparing model criteria, we propose and demonstration the triple Seasonal Autoregressive Integrated Moving Average model with AIC 290631.9 and SBC 290674.2 as the best model for this study. The Triple seasonal ARIMA is one of the alternative strategy to propose accurate forecasts of electricity load Kalimantan data for planning, operation maintenance and market related activities.
PRE-EMPTIVE GOAL PROGRAMMING METHOD FOR OPTIMIZING PRODUCTION PLANNING Hasbiyati, Ihda; Desri, Rama; Gamal, Moh Danil Hendry
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 1 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (381.738 KB) | DOI: 10.30598/barekengvol17iss1pp0065-0074

Abstract

In this paper the mathematical modelling of production planning is put forward using the pre-emptive goal programming method for priority based decision making. The objective of this problem is to design production planning satisfying the specified constraints while minimizing deviations from each goal to be achieved. The goals consist of five types of best seller bread, production profits, production costs, production quantities, and availability of bread raw materials. LINGO 11.0 package is implemented for computational purposes. Computational results show that the pre-emptive goal programming is an efficient method for optimizing production planning of multiple goals based on the order of priority.
SOLVING CUTTING STOCK PROBLEM USING PATTERN GENERATION METHOD ON 2-DIMENSIONAL STOCK Hasbiyati, Ihda; Latifa, Indri; Rahman, Abdul; Ahriyati, Ahriyati; Gamal, Moh Danil Hendry
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 1 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss1pp303-318

Abstract

This article discusses the solution of the 2-dimensional stock cutting problem using the Branch and Bound modified pattern generation method. The pattern generation method will produce a feasible cutting pattern matrix which is then converted into a mathematical model with a linear program equation with an objective function to minimize the use of initial stock materials. The research is a case study located at the Handal Karya Buana Store which is engaged in cutting glass of different sizes, thicknesses and types of glass. In this case, 3 types of initial stock will be used with the same thickness, and type but have different area sizes, and one of the consumer demand data will be used, namely 3 types of requests with different sizes and many requests. By using the pattern generator method, 10 cutting patterns are generated with each different cutting residue. By using the simplex method, the optimal solution is obtained for the amount of initial stock needed, the pattern used and the remaining cuts produced. So using the pattern generator method can produce a feasible cutting pattern, and can be used as an alternative to solve the stock cutting problem.