Penerbit: Department of Physics, Faculty of Mathematics and Natural Science, University of Lampung
P-ISSN: 2747-2043
E-ISSN: 2747-299X
DOI: 10.23960/jemit
Fakultas Matematika dan Ilmu Pengetahuan Alam Fisika dan Astronomi Arsitektur
Artikel (24)
Pengaruh Variasi Polivinilpirolidon (PVP) Terhadap Pembentukan Serat Nano TiO2 Menggunakan Metode Electrospinning
Research on the formation of TiO2 nanofiber has been carried out with PVP variations of 1.1; 1,2; 1.3; 1.4 and 1.5 grams using electrospinning. This study aims to determine the effect of PVP variation on the viscosity and morphology of TiO2 nanofibers and to determine the crystal structure of the fi...
Journal of Energy, Material, and Instrumentation Technology; Vol. 2 No. 1 (2021): Journal of Energy, Material, and Instrumentation Technology; 11 - 16 | 2021
Penggunaan Metode Taguchi untuk Menentukan Kondisi Parameter Optimum Pada Pembuatan CaO dari Batu Kapur (CaCO-3)
Research has been carried out to determine the optimum conditions for making quicklime (CaO) using the Taguchi Method. CaO is the burning result of limestone (CaC ) in calcination process by releasing of C  gas until CaO solids occur. The limestone was calcined at .  The Taguchi Method is a quali...
Journal of Energy, Material, and Instrumentation Technology; Vol. 2 No. 1 (2021): Journal of Energy, Material, and Instrumentation Technology; 23 -29 | 2021
Pengaruh Variasi Kadar CaCO3 terhadap Pertumbuhan Fase Superkonduktor BPSCCO–2212 Menggunakan Metode Pencampuran Basah
This research was conducted to determine the effect of CaCO3 levels on the formation of superconducting phase BPSCCO - 2212 by calculating the level of purity of the phases formed and looking at the microstructure. The variation of CaCO3 was 0.95, 1.00, 1.05 and 1.10 mole using the wet mixing method...
Journal of Energy, Material, and Instrumentation Technology; Vol. 2 No. 1 (2021): Journal of Energy, Material, and Instrumentation Technology; 17 - 22 | 2021
Sistem Identifikasi Tingkat Kematangan Buah Nanas Secara Non-Destruktif Berbasis Computer Vision
A computer vision-based non-destructive pineapple maturity level identification system has been realized. This research was conducted to create a system capable of identifying six indexes of pineapple maturity level. An artificial neural network is used as a classifier for the level of maturity pine...
Journal of Energy, Material, and Instrumentation Technology; Vol. 2 No. 1 (2021): Journal of Energy, Material, and Instrumentation Technology; 1 - 10 | 2021