Article Per Year (5 Year)
p-Index From 2021 - 2026
2.096
P-Index
This Author published in this journals
All Journal MATEMATIKA SAINS DAN MATEMATIKA JURNAL SISTEM INFORMASI BISNIS Jurnal Matematika INDONESIAN JOURNAL OF APPLIED PHYSICS Communication in Biomathematical Sciences International Journal of Computing Science and Applied Mathematics Jurnal Surya Masyarakat International Journal of Supply Chain Management ComTech: Computer, Mathematics and Engineering Applications Jurnal Matematika UNAND Indonesian Journal of Electrical Engineering and Computer Science InPrime: Indonesian Journal Of Pure And Applied Mathematics Majalah Ilmiah Matematika dan Statistika (MIMS) Jurnal Surya Masyarakat Journal of Fundamental Mathematics and Applications (JFMA) Research Horizon Integra: Journal of Integrated Mathematics and Computer Science
Redemtus Heru Tjahjana
Department Of Mathematics, Diponegoro University Semarang, Indonesia
Religion Arts Humanities Astronomy Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Transportation Other

Published : 37 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : SAINS DAN MATEMATIKA

 1 
Perbandingan Algoritma Particle Swarm Optimization dan Differential Evoluitonal Algorithm untuk Perancangan Umpan Balik Keadaan : Studi Kasus Gerak Lateral Pesawat F-16 Anis, Madchan; Widowati, Widowati; Tjahjana, R. Heru
JURNAL SAINS DAN MATEMATIKA Volume 20 Issue 4 Year 2012
Publisher : JURNAL SAINS DAN MATEMATIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4333.919 KB)

Abstract

The purpose of Linear Quadratic Regulator (LQR) optimal control system is to stabilize the system, so that the output of the system towards a steady state by minimizing the performance index. LQR-invinite horizon is a special case of LQR in thecontinuous time area where the terminal time of the performance index value for infinite time and infinite outputsystem is zero. Performance index will be affected by the weighting matrix. In this paper will be discussed about the application of Particle Swarm Optimization algorithm (PSO) and Differential Evolution Algorithm (DEA) to determine the state feedback of a closed loop system and weighting matrices in the LQR to minimize performance index. PSO algorithm is a computational algorithm inspired by social behavior of flocks of birds and fishes in searching of food. While the DEA is an optimization algorithm that is adopted from evolution and genetics of organisms. Simulations of the PSO algorithm will be compared with DEA. From the simulations results is found thatDEA is faster then PSO to get convergence to the optimal solution.   Keywords: LQR-invinite horizone, Particle Swarm Optimization (PSO), Differential Evolution Algorithm (DEA), umpan balik keadaan, sistem lup tertutup
Solving a system of linear equations by QR Factorization Method for Temperature and Altitude Regression Model against Spontaneous-Potential Widowati, Widowati; Setyawan, Agus; Mustafid, Mustafid; Nur, Muhammad; Sudarno, Sudarno; Harmoko, Udi; Adhy, Satriyo; Gunawan, Gunawan; Subagio, Agus; Tjahjana, Heru; Sulpiani, Ririn; Riyanto, Djalal Er; Suhartono, Suhartono; Mukid, Mochammad Abdul; Suseno, Jatmiko Endro
JURNAL SAINS DAN MATEMATIKA Volume 22 Issue 3 Year 2014
Publisher : JURNAL SAINS DAN MATEMATIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (778.71 KB)

Abstract

Many real problems can be represented in the form of multiple linear regression equation. One of those is the relationship between the variables of temperature and altitude of the spontaneous-potential. In order to determine the parameters of the regression equation, the least squares method was used. From here, there was obtained the system of linear equations. In this paper, to solve systems of linear equations, the exact method was used as the exact solution is certainly better than the approached solution. The method used was the QR factorization method. At the QR factorization, the system of linear equations was written in form of matrix equation. Then, the coefficient matrix which the number of rows is m and number of columns is n with linearly independent columns was factored into the matrix Q which has the same size with the matrix A, with orthonormal columns and matrix R was upper triangular. Furthermore, by backward substitution, it could be obtained the exact solution of linear equation system. As verification of this proposed method, a case study was given using data of temperature, altitude, and spontaneous-potential in the geothermal manifestations area, Gedongsongo, Mount Ungaran Semarang. From here, it was obtained the parameters of exact multiple linear regression model which states the relationship between temperature and altitude toward the spontaneous-potential.
Co-Authors 'Aliyah, Dheva Ufiz Agus Setyawan Agus Subagio Agus Subagio Aulia, Lathifatul Bambang Irawanto Devi Larasati Djalal Er Riyanto Etna Vianita Harahap, Adhina Rizkillah Harjum Muharam Hendri Widiyandari I Gusti Ngurah Antaryama Jatmiko Endro Suseno Kartono . L Niswah, L Lucia Ratnasari Lucia Ratnasari Madchan Anis Mahardika, Dhimas MINARSIH MINARSIH Moch. Abdul Mukid Muhammad Nur Mustafid Mustafid Nikken Prima Puspita Okky Widya Arditya Paramita, Arum Qurrotulaini Pradjna Parsaoran Siahaan Prameswari, Balqies Gabriella Priyo Sidik Sasongko Rahman, Aini Ririn Sulpiani Robertus Heri Sulistyo Utomo Satriyo Adhy SITI KHOLIFAH Solichin Zaki Solikhin Solikhin Sri Haryanti Sudarno Sudarno Sunarsih Sunarsih Sutimin Sutimin sutimin sutimin Sutrisno Sutrisno Sutrisno, Sutrisno Sutrisno, Sutrisno Titi Udjiani SRRM Udi Harmoko Utomo, R. Heri Soelistyo Utomo, R. Heri Soelistyo Vianita, Etna Wahyu Setiabudi Widowati ., Widowati widowati widowati Widowati, Widowati Wijayanti, Shofiyana Noor Yundari, Yundari