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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 218 Documents
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Experimental Tailoring of Structural and Optoelectronic Properties in Doped Semiconductor Nanostructures for High-Performance Nano-Devices Zainab SH. Mohammed; Zainab SH. Mohammed; M.H. Asmaa
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
Solid Structures in Fuzzy Banach Spaces: Topology of Uniform Convergence and Application to Fuzzy Integral Equations Murtadha Ali Rashid; Hasan H. Mushatet; Murtadha Ali Rashid; Hasan H. Mushatet
Jurnal MIPA dan Pembelajarannya Vol. 6 No. 3 (2026): March
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um067v6i32026p3

Abstract

This paper introduces and studies the notion of solidity in fuzzy Banach spaces. A fuzzy Banach space is called solid if the fuzzy topology is compatible with the vector structure in a uniformly bounded manner: multiplication by null sequence uniformly. We construct a natural matric that induces the fuzzy topology, prove completeness and relative compactness theorems, and provide original examples including spaces of fuzzy-valued functions and sequence spaces. An application to fuzzy Volterra integral equations is given using the Banach fixed point theorem. . The results extend classical Banach space theory to the fuzzy setting while preserving key properties such as metrizability, the Hahn-Banach extension (under solidity), and the Arzela-Ascoli characterization.
Leveraging Machine Learning to Discover New Solid-State Materials: Topological Insulators, Semiconductors, And Solid Electrolytes Applications (Review Article) Mohmammed Abdullah Mohammed; Mohmammed Abdullah Mohammed; Anas A. Hamdi
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/um067v6i52026p3

Abstract

Machine learning is used to rapidly predict, screen, and design materials functioning in solid-state for use in a growing range of chemical spaces that are too large for traditional trial and error approaches. This article reviews how machine learning accelerates the discovery of novel solid-state materials with emphasis on three technologically important classes: topological insulators, semiconductors, and solid electrolytes. The conversation highlights data infrastructures, chemical and structural representations, graph neural networks, foundation models, high-throughput screening and generative design, and closed-loop validation. Machine learning is used in topological materials to classify the topology and to generate a potential insulator or semimetal inverse. It is used in semiconductors to predict band gaps, phase stability and optoelectronic properties in an efficient manner. It can be used to solve multi-property optimization issues such as ionic conductivity, electrochemical stability, interfacial compatibility, and synthesizability in solid electrolytes. The authors suggest that the most successful methods for discovery are based on a combination of data-driven models, density-functional theory, atomistic simulation, uncertainty quantification, and experimental feedback. Despite recent progress, there are significant challenges in data quality, transferability, interpretability, synthesis prediction, and laboratory validation. The future will rely on the ability to embed physics-driven machine learning, self-driving laboratories and foundation models in clear and reproducible materials discovery pipelines that are supported by experimental data.
Allosteric Modulation of Mitochondrial Complex I By Succinylation of NDUFV2 Subunit Under Hyperglycemic Conditions: Implications for Ros-Mediated Β-Cell Apoptosis in Type 2 Diabetes Zainab Nasser Hussein
Jurnal MIPA dan Pembelajarannya Vol. 6 No. 6 (2026): June
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um067v6i62026p1

Abstract

Background: Type 2 diabetes mellitus is a disease of progressively dysfunctional pancreatic β-cells, including β-cell apoptosis, where mitochondrial oxidative stress is a key pathogenic factor. Nevertheless, the molecular pathway which connects chronic hyperglycemia with mitochondrial Complex I dysfunction is not fully understood. Aim: The study examined the role of hyperglycemia-induced succinylation of the NDUFV2 subunit as an allosteric modulator of mitochondrial Complex I, increased reactive oxygen species (ROS) generation, and β-cell death. Methodology: A mechanistic study was planned with the use of INS-1 β-cells under normoglycemic (5.5 mmol/L) and hyperglycemic (25 mmol/L) conditions after 48 h of incubation, with osmotic controls, antioxidant treatment, SIRT5 overexpression, and site-directed mutagenesis of NDUFV2. Immunoprecipitation, immunoblotting and LC-MS/MS were used to assess NDUFV2 succinylation, while standard mitochondrial and cell-death assays were used to measure Complex I activity, oxygen consumption, ATP production, membrane potential, ROS generation and apoptosis. Results: Hyperglycemia elevated NDUFV2 succinylation 2.71-fold, mitochondrial ROS 2.31-fold, and caspase-3/7 activity 2.87-fold, and decreased Complex I activity to 58% and ATP to 24.8 nmol/mg protein. The K81R mutant restored Complex I activity to 88%, lowered ROS to 1.34-fold, and enhanced viability to 89%. Conclusion: NDUFV2 succinylation may be one of the mechanistic causes of Complex I impairment and ROS-induced β-cell apoptosis in type 2 diabetes.
Numerical Treatment of Integral Equations Using Chebyshev Collocation Methods Ahmed Mohammed Shareef
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/um067v6i52026p4

Abstract

Numerical evaluation of integral equations has become one of the important problems in numerical analysis and computational mathematics, and the calculation of approximate solutions is reduced to solving some systems of linear algebraic equations. In this paper, we will discuss the approximate solutions of linear single integral equations with a Cauchy kernel on a finite interval and Fredholm linear integral equations of the second kind using Chebyshev polynomials. Some numerical examples were presented to illustrate the method.
Fabrication and characterization of Chitosan Nanocarriers for Erucin Delivery Using Ionic Gelation Techniques Ali Jalil Mjali
Jurnal MIPA dan Pembelajarannya Vol. 6 No. 6 (2026): June
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um067v6i62026p3

Abstract

Background: The incorporation of nanotechnology and bioactive molecules represents a boundary in modern pharmacology, aiming to improve the bioavailability and stability of plant-derived chemicals. This study focuses on the evolution of a novel drug delivery system using chitosan nanocarriers to encapsulate erucin, a potent isothiocyanate derived from Eruca sativa known for its significant anticancer, anti-inflammatory, and antimicrobial properties. Methods: Fresh chopped Eruca sativa leaves were macerated in water to get erucin phytochemical by enzymatic conversion with myrosinase , followed by an organic solvent extraction using dichloromethane. In the production of nano erucin, sodium tripolyphosphate -a cross-linker - was used in a process called ionic gelation. Three definite solutions were prepared with chitosan-to-erucin ratios of 0.5:1, 1:1, and 1.5:1. Then, centrifugation performed to purify the resulting nanoparticles which were characterized using Scanning Electron Microscopy (SEM), Energy Dispersive X-ray (EDX), and Zeta potential analysis to evaluate morphology, elemental composition, and surface charge, respectively
Applications Of CRISPR Gene Editing Technology in The Genetic Control of Harmful Insects Awaal Mahmood Lafta
Jurnal MIPA dan Pembelajarannya Vol. 6 No. 6 (2026): June
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um067v6i62026p4

Abstract

The Reasons for Rapidly Increasing Use of Insecticides in Society as well as from Environmental Restrictions Placing Limitations on the use of Conventional Methods for Controlling Harmful Insects has Heightened the Need for New Innovative Sustainable Approaches to Manage Pest Insects. To this end, this Study Investigated the Feasibility of the Use of CRISPR/Cas9 Genome Editing Technology to Genetically Control Medically Important Insects and Agricultural Pests (e.g. Anopheles gambiae, Aedes aegypti and Spodoptera frugiperda). Genes Associated with Reproduction, Host-Seeking Behaviour, Viral Susceptibility and Insecticide Resistance were Chosen as Targets for CRISPR-Mediated Disruption of Target Genes. sgRNAs were Designed to Target Conserved Regions of Coding Sequences Followed by the Introduction of CRISPR-Cas9 Ribonucleoproteins into Insect Embryos Via Microinjection Procedures. The Genome Editing Efficiency, Suppression of Target Gene Expression, Phenotypic Changes and Susceptibility of Insects to Insecticides were Evaluated using Molecular and Biological Assays. All of the insect species studied were successfully genome-edited, with editing efficiencies from 41.8% to 67.3%. Quantitative real-time PCR analysis showed that edited insects had substantially lower levels of target gene expression than wild-type controls. The disruption of the doublesex gene in Anopheles gambiae caused significant reductions in fertility and egg hatchability, suggesting that Edited insects had reduced reproductive fitness. In Aedes aegypti, editing of the orco gene resulted in decreased host-seeking behaviours and decreased blood-feeding behaviour. In addition, edited Spodoptera frugiperda larvae had significantly increased susceptibility to Bacillus thuringiensis (Bt) toxins and regular insecticides following CRISPR-mediated disruption of ATP-binding cassette transporter genes and cytochrome P450 monooxygenase genes. Edited larvae also showed significantly reduced feeding behaviour and delayed larval development. Our results indicate that CRISPR-Cas9 is a promising new method to genetically suppress harmful insect populations, and could be used as an environmentally-sustainable alternative to chemical insecticides. We have documented that CRISPR can specifically target genes related to reproduction, vector competence, and the detoxification pathways of insects; thus making it a powerful tool for producing genetically modified organisms (GMOs). However, more research to address ecological safety, off-targets and the long-term environmental safety of these technologies must take place before they are broadly used throughout the environment.
The Effect of Operational Pressure, Distance Between Field Pipes, And Irrigation Level on The Growt, Yield, And Water Use Efficiency of Wheat (Triticum Aestivum L.) Under A T-Tape Drip Irrigation System Ahmed Zaid Mahdi Alshuwaili; Ali Hamdhi Dheyab; Ahmed Zaid Mahdi Alshuwaili; Ali Hamdhi Dheyab
Jurnal MIPA dan Pembelajarannya Vol. 6 No. 6 (2026): June
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um067v6i62026p2

Abstract

This study aimed to evaluate the effect of operational pressure, spacing between field pipes, and irrigation level on plant growth parameters (plant height, dry matter of vegetative parts, grain yield, and water use efficiency) under a T-tape drip irrigation system in wheat crop (Triticum aestivum L.). A field experiment was conducted during the winter season of 2024–2025 in Safwan district, Basrah Governorate, Iraq. The experiment included three operational pressures (0.75, 1.00, and 1.25 m), three distances between field pipes (20, 30, and 40 cm), and two irrigation levels (100% and 80% of cumulative pan evaporation). The experiment was arranged according to a split-split plot design using RCBD with three replicates. Results showed that the 20 cm spacing recorded the highest values of plant height, dry matter of vegetative parts, grain yield, and water use efficiency compared with wider spacing. Increasing operating pressure significantly increased the above growth and production parameters. Irrigation at 100%Ep significantly increased the growth and production parameters compared with 80% Ep. Except for water use efficiency, the superiority was at 80% Ep compared with 100% Ep. Provides a

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