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Jurnal MIPA dan Pembelajarannya
Published by Universitas Negeri Malang
ISSN : -     EISSN : 27980634     DOI : https://doi.org/10.17977/um067
Core Subject : Science, Education, Engineering,
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Energy Immunology & microbiology Materials Science & Nanotechnology Mathematics
Jurnal MIPA dan Pembelajarannya (JMIPAP) is a publication that focuses on education, particularly in the areas of mathematics and natural sciences. The journal publishes articles, research papers, and other relevant manuscripts related to the teaching and learning of these subjects. It provides a platform for educators, researchers, and scholars to share their ideas, insights, and innovative teaching methods that can enhance the teaching and learning experience of students in mathematics and natural sciences. JMIPAP aims to contribute to the improvement of the quality of education in these fields by providing a space for the exchange of knowledge and ideas among its readers and contributors.
Arjuna Subject : Kimia(semua kategori) - Kimia (Lain-Lain)
Articles 2 Documents
 1 
Search results for , issue "Vol. 6 No. 5 (2026): May" : 2 Documents clear
Comparison Between the Two Methods of Maximum Likelihood and Partial Estimators of The Topp - Leone Distribution Function and Reliability Using Simulation Zamel, Mohammed Ibrahim
Jurnal MIPA dan Pembelajarannya Vol. 6 No. 5 (2026): May
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um067v6i52026p1

Abstract

The study looked at how to estimate the reliability function for the Topp and Leone distribution with a shape parameter by comparing two methods: the maximum likelihood method and the method of partial estimators. The software function was used to calculate the distribution parameter estimates. An experimental study was also conducted using simulation for comparison purposes and to practically demonstrate the efficiency of these methods. This was done by relying on specific observations for different samples, comparing them based on several metrics represented by the mean squared error. It was found that as the sample size increased, the maximum likelihood estimator became the best.
Experimental Tailoring of Structural and Optoelectronic Properties in Doped Semiconductor Nanostructures for High-Performance Nano-Devices Mohammed, Zainab SH.; Asmaa, M.H.
Jurnal MIPA dan Pembelajarannya Vol. 6 No. 5 (2026): May
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um067v6i52026p2

Abstract

Because of their high crystal structure, energy gap, and charge transfer tunability, doped semiconductor nanostructures provide a potential sector for the development of high-performance nanodevices, especially photodetectors and optoelectronic applications. The fact that the impact of ion doping is not necessarily positive or linear presents a significant research problem. While high concentrations may restrict device efficiency by increasing defects, lattice distortion, and dark current, low concentrations may enhance characteristics. The objective of this study was to ascertain the ideal concentration for improving nanodevice performance as well as to examine the impact of various doping concentrations on the structural and optoelectronic characteristics of ZnO nanostructures. Undoped and doped samples at 1, 3, and 5% concentrations were prepared using sol-gel spin coating, then thermally treated and analyzed using XRD, SEM/EDX, UV-Vis, PL, and electrical measurements. Photodetectors were also fabricated to evaluate the optical response. The results showed that a concentration of 3% performed best, increasing the crystalline size from 24.8 to 32.6 nm, decreasing the energy gap from 3.27 to 3.12 eV, reducing the resistivity from 8.4 × 10⁻² to 1.9 × 10⁻² Ω·cm, and increasing the photoresponsivity from 0.18 to 0.92 A/W. These results indicate that the medium doping provides an effective balance between improving crystallinity, adjusting the energy gap, and enhancing charge transfer

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