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All Journal Jurnal Matematika: MANTIK AJAD : Jurnal Pengabdian kepada Masyarakat Jurnal Komtekinfo
Yulia Retno Sari
Universitas Putra Indonesia YPTK Padang
Humanities Computer Science & IT Mathematics

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Ketercapaian dan Keterkontrolan Sistem Deskriptor Diskrit Linier Positif Yulia Retno Sari
Jurnal Matematika MANTIK Vol. 3 No. 2 (2017): Mathematics and Applied Mathematics
Publisher : Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (866.074 KB) | DOI: 10.15642/mantik.2017.3.2.65-73

Abstract

A positive discrete descriptor system has been widely used in modeling economics, engineering, chemistry and others. In this research, we studied the necessary conditions and sufficient conditions for a positive discrete descriptors system is achieved positive and controlled postively. In addition, it is also studied on sufficient terms and conditions which ensure that discrete systems are null controlled. By using linear algebraic method and Inverse Drazin, this research has proved several theorems for discrete descriptors system achieved positive, controlled positively and controlled null. In addition, examples are given as illustrations to reinforce the validity of the proven theorems.
Usaha Peningkatan Pemahaman Siswa dan Mahasiswa dalam Masa Pandemi Covid-19 dengan Video Pembelajaran Menggunakan Aplikasi Kinemaster Yulia Retno Sari; Deby Erdriani
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 1 (2022): MAY 2022
Publisher : Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (392.396 KB) | DOI: 10.35870/ajad.v2i1.41

Abstract

Community Service Activities were carried out online with the theme "Creating Cool Learning Videos to Improve Students' Understanding during the Covid-19 Pandemic". This Community Service partnered with teachers and lecturers in the city of Padang. The purpose of carrying out community service activities is to increase teacher knowledge about teaching video maker applications and teachers are able to make interesting teaching videos so that students are motivated to learn and quickly understand the material being taught. The method used is descriptive qualitative. The data used are primary data from webinar participants. From the results of the implementation of community service activities, it can be concluded that this webinar can increase the knowledge of teachers in the city of Padang in presenting teaching materials. And also improve the ability of teachers in making interesting teaching videos using Kinemaster, this is indicated by a graph of the survey evaluation results of 100%.
Perbandingan Analisis Logika Fuzzy dan Regresi Linier Berganda dalam Menentukan Produksi Beras Nasional Yulia Retno Sari; Lidya Rizki Ananda; Maha Rani
Jurnal KomtekInfo Vol. 8 No. 4 (2021): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (752.95 KB) | DOI: 10.35134/komtekinfo.v8i4.186

Abstract

Jumlah produksi padi nasional merupakan suatu ketidakpastian. Logika Fuzzy adalah ilmu yang dapat menganalisa ketidakpastian. Logika Fuzzy yang digunakan adalah metode Mamdani, terdapat 4 langkah yakni : pembentukan himpunan Fuzzy, aplikasi fungsi Implikasi, komposisi aturan dan defuzzifikasi. Proses analisis data dibantu juga dengan software Matlab. Teknik analisis data pada statistik yang sering digunakan untuk mengkaji hubungan antara beberapa variabel dan meramal disebut Analisis Regresi Berganda. Analisis Regresi Berganda memakai metode Kuadrat Terkecil atau Ordinary Least Square (OLS). Kedua metode ini dipakai untuk mencari bentuk hubungan antara dua variabel atau lebih yang terdiri dari variabel terikat dan variabel bebas. Tujuan dari penelitian ini adalah membandingkan hasil prediksi jumlah produksi padi yang tepat dan akurat dari kedua metode tersebut. Dengan cara menghitung nilai rata-rata kesalahan relatif dari peramalan menggunakan Logika Fuzzy dan Analisis Regresi Berganda.
Co-Authors Deby Erdriani Lidya Rizki Ananda Maha Rani