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All Journal Indonesian Journal of Electronics and Instrumentation Systems GEMA TEKNOLOGI BERKALA FISIKA SAINS DAN MATEMATIKA JURNAL SISTEM INFORMASI BISNIS Jurnal Ilmu Lingkungan YOUNGSTER PHYSICS JOURNAL Jurnal Sistem Komputer Program Kreativitas Mahasiswa - Karsa Cipta International Journal of Artificial Intelligence Research Jurnal Penelitian Pendidikan IPA (JPPIPA) INDONESIAN JOURNAL OF APPLIED PHYSICS Journal of Physics and Its Applications Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pengabdian Vokasi
Jatmiko Endro Suseno
Department Of Physics, Faculty Of Science And Mathematics, Diponegoro University, Semarang
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Physics Other

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Journal : SAINS DAN MATEMATIKA

 1 
Identifikasi Unsur-Unsur Berdasarkan Spektrum Emisi Menggunakan Jaringan Syaraf Tiruan Prasetyo, Eko; Azam, Muchammad; Suseno, Jatmiko Endro
JURNAL SAINS DAN MATEMATIKA Volume 15 Issue 1 Year 2007
Publisher : JURNAL SAINS DAN MATEMATIKA

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 ABSTRACT---Neural network program for elements identification based on its emission spectrum has been made using backpropagation method. The programming language which was used is MATLAB 7.0. This neural network has a single hidden layer. Training and testing data are emission spectrum data which are emission wavelength from each element. Training process was done by introducing known emission spectrum data to neural network program. Neural network program has been successful to identify elements based on its emission spectrum. Training process will be faster if we adjust the number of hidden layer’s neuron as 100, the value of learning rate as 0,049 and the value of momentum as 0,98. The neural network accuracy of identifying elements is determined by the value of error target. Error target. The value of target error about 10-2 has accuracy 97,14% and the value of target error about 10-4 has accuracy 100%. Keywords: Neural network, backpropagation method, and emission spectrum
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

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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 Achmad Supriyadi, Achmad Agus Setyawan Agus Subagio Agus Sulistiyo Agus Syafrudin Ainie Khuriati Ali Khumaeni Anak Agung Istri Sri Wiadnyani Andri Wibowo Ari Bawono Putranto Arlien Siswanti Asep Yoyo Wardaya Aulia, Thessa Putri Bayu Surarso Binu Soesanto, Qidir Maulana Catur Edi Widodo Dian Anggraini Djalal Er Riyanto Evi Setiawati Fatkhur Rohman Figur Humani Fitria L Giga Verian Pratama Glar Donia Deni Habib Sabil Rosyidi Hadi, Muhammad Rafli Irsyad Heri Sugito Hudzaifah Hazazi Zia Kusuma Humairoh Ratu Ayu I Gusti Ngurah Antaryama I Nyoman Sujana Ibnu Arimono Inayatul Inayah Irwan Agus Saputro Isnaeni Isnaeni Isnain Gunadi Isnain Gunadi K. Sofjan Firdausi Karyadi, Kukuh Kasto Wijoyo Teguh Guntoro Kusworo Adi Megarini Hersaputri Moch. Abdul Mukid Much. Azam Muchammad Azam, Muchammad Muhammad Hidayat Muhammad Nur Muhammad Nur Mustafid Mustafid Nurhady Mustofa Pandji Triadyaksa Prabowo, Muhammad Nur Priyono Priyono Puspita, Yuanita Candra Putra, Hisbicus Dwi Surya Putra, Satrio Sandi Putri, Yurixa Sakhinatul R Rizal Isnanto Ratna Dewi Winesthi Ratu Bilqis Redemtus Heru Tjahjana Reza Lutfi Ismai Rin Hafsahtul Asiah Rinaldo Turang, Rinaldo Ririn Sulpiani S. Suryono Sari, W.T. Satriyo Adhy Sela Ade Otaviana Sudarno Sudarno Sumariyah Sumariyah Suryono Suryono Susilo Hadi Susilo Hadi, Susilo Tomy Kusbramanto Udi Harmoko Widiasmoro, Andi Wiktasari Sari, Wiktasari Windarta, Jaka Yundari, Yundari Yusup Hidayat Yuyu Wahyudin Zaenal Arifin Zaenul Muhlisin Zakiyyah, A.Z.