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All Journal JURNAL AGRONIDA Media Jurnal Informatika Journal of Mathematics UNP Jurnal Katalisator Mathematical Journal of Modelling and Forecasting
Dina Agustina
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Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics

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Application of Augmented Reality Technology for Human Excretion System as Android-Based Learning Media Mohamad Kany Legiawan; Dina Agustina
Media Jurnal Informatika Vol 13, No 1 (2021): Media Jurnal Informatika
Publisher : Teknik Informatika Universitas Suryakancana Cianjur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/mji.v13i1.1488

Abstract

The excretion system is a process of removing metabolic waste that is no longer used by the body. These remnants of metabolism in the form of compounds that are toxic (poison) so that if not removed can cause disruption of the function of organs in the body. Organs that play a role in the excretion system are the kidneys, lungs, skin and liver. Kidney is the main component making up the human excretion system, namely urine. The lungs produce residual respiratory processes in the form of gas CO2 (carbon dioxide) and H2O (water vapor). The skin is able to produce residual substances in the form of sweat. The liver produces waste products in the form of bile sap from an overhaul of red blood cells that have been damaged and destroyed in the spleen. Augmented Reality Human Excretion System is an application that can facilitate teachers and class XI MA Tanwiriyyah students in learning about the human excretion system. This application is made based on Android by applying augmented reality technology in its implementation. In this application the teacher and students can see 3D objects and know the process of removing residual substances in the excretory system organs. The design of this application uses the MDLC method and also uses UML diagrams, navigation structures and application interface design.
Test of Various Carrier Materials Against Viability and Conidia Density in Some Liquid Biopesticides of Entomopathogenic Fungi Unun Triasih; dina agustina; mutia erti dwiastuti; susi wuryantini
JURNAL AGRONIDA Vol. 5 No. 1 (2019)
Publisher : Universitas Djuanda Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1252.292 KB) | DOI: 10.30997/jag.v5i1.1851

Abstract

Indonesia is a country that has a large biological diversity but has not been fully utilized for agriculture. The effectiveness of biological agents in controlling pests and plant diseases still needs further investigation, one of which is the use of entomopathogenic fungi as biopesticides. The purpose of this study was to determine the effect of storage on the viability and density of conidia in several entomopathogenic fungi; Beauveria bassiana, Metarhizium anisopliae, Paecilomyces. This study used 5 entomopathogenic fungi isolates, 2 Beauveria bassiana isolates (JBG and JBR), 2 Metarhizium anisopliae isolates (JBG and UST), 1 Paecilomyces. Biopesticide carrier material consisted of 6 carrier materials, namely soybean decoction waste, soy washing waste, Potato Dextrose Agar, tapioca waste, rice waste, rice washing waste and coconut water. Biopesticides have been made one year before and the viability and complexity of the conidia is re-examined one year later. From the observations of conidial density, the best was found in Beauveria bassiana JBG liquid biopesticide of 4.8 x 10 x conidia / ml from the initial density of 3.4 x 10⁸ / ml in the soybean decoction (RK) carrier material. The highest viability was found in JBG Metharizium anisopliae on soybean washing waste material by 14%. Key words: Conidia viability, conidial density, entomopathogenic fungi
Potential of Antagonistic Fungi in Inhibiting the Growth of Botryodiplodia theobromae Fungi Causes Stem Rot Disease in Citrus Dina Agustina; unun triasih; mutia erti dwiastuti; rudi cahyo wicaksono
JURNAL AGRONIDA Vol. 5 No. 1 (2019)
Publisher : Universitas Djuanda Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1193.359 KB) | DOI: 10.30997/jag.v5i1.1852

Abstract

Soil microorganisms such as Trichoderma asperellum and Gliocladium sp have the potential to become biological control agents in inhibiting the growth of fungi Botryodiplodia theobrome which causes stem rot disease in citrus plants. The purpose of this study was to determine the potential of T.asperellum and Gliocladium sp fungi in inhibiting the growth of B. theobrome fungus causing stem end rot disease in citrus plants. The antagonistic test was carried out using the dual culture method using PDA media; observations were made on the growth of pathogenic fungi and antagonistic fungi to measure their inhibitory power. The results of the observation and calculation of the fungal growth rate were analyzed using the T test with a level of 5%. The pathogen fungal growth rate in the antagonistic test was slower than control and inhibition of B. theobrome by T.asperellum and Gliocladium sp were respectively at 78.67% and 84.56%. The mechanism of the two antagonistic fungi has the nature of competition and parasitism because of the broader inhibition spectrum than the pathogenic fungi. Keywords: Botryodiplodia theobromae, Trichoderma asperellum, Gliocladium sp, antagonistic test.
Aplikasi Machine Learning Untuk Forecasting Nilai Overall Equipment Effectiveness Pada Industri Manufaktur Aufatus Syakira Mardhatillah; Dina Agustina
Journal of Mathematics UNP Vol 8, No 2 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i2.14283

Abstract

Manufacturing productivity is determined by machine performance. The problem that occurs in production machines is the occurrence of downtime so that the machine does not work optimally. One of the engine performance indicators is OEE. forecasting of the OEE value is needed so that manufactures can take action so they can maintain engine performance. The purpose of this research was to see the results of forecasting OEE value with machine learning linear regression algorithms and see the value of model evaluation with MAPE. The results of the study using training data and testing data obtained a multiple regression model with the variable y is OEE, the intercept coefficient is , and slope coefficient of the availability and performance variables is  and . The model evaluation results are in the range<10%, meaning that the accuracy results had excellent forecasting model.
Risk Comparison in Optimal Portfolios: A Study of Value at Risk (VaR) and Tail Value at Risk (TVaR) Turnika Afdatul Rafni; Dina Agustina
Mathematical Journal of Modelling and Forecasting Vol. 3 No. 1 (2025): June 2025
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/mjmf.v3i1.40

Abstract

Considering investment risk is something that investors must do before deciding to invest; measuring risk provides an opportunity for investors to get the desired return and minimize losses. This study compares Value at Risk (VaR) and Tail Value at Risk (TVaR) methodologies for measuring portfolio risk. VaR is a commonly used method that provides the maximum loss at a certain confidence level and period. However, VaR is not an effective measure of risk because it does not satisfy one of the axioms of coherent risk measures, i.e., subadditivity. Subsequently, the TVaR measure emerged, which satisfies all the axioms of coherent risk measures, thereby providing a good and effective measure of risk. The optimal portfolio will be formed using the Single Index model, simplifying the Markowitz portfolio model. The Composite Stock Price Index will be the only factor influencing other stocks in this model. The data used data from stocks that were consistently listed on the IDX30 index from 24/10/2022 to 25/10/2024. Based on the result of the analysis of data, the optimal portfolio consists of 5 stocks, i.e., PT Bank Mandiri (BMRI.JK), PT Indofood Sukses Makmur (INDF.JK), PT Bank Central Asia (BBCA.JK), PT Bank Negara Indonesia (BBNI.JK), and PT Barito Pacific (BRPT.JK). Risk measures were compared on the optimal portfolio, using a confidence level of 1-α=95%, with a daily time period, and an initial investment capital of IDR 1 billion. The estimated VaR risk measure is IDR 15.38 million, while TVaR reaches IDR 23.25 million.
FORMULATION AND ANTIBACTERIAL ACTIVITY TEST OF ANTI-ACNE GEL FROM ETHANOL EXTRACT OF SENDUDUK LEAVES (Melastoma malabathricum. L) Novelni, Ringga; Mimi Yupelimi; Dina Agustina; Diza Sartika; Vici Syahril Chairani
JURNAL KATALISATOR Vol. 9 No. 1 (2024): Jurnal Katalisator Volume 9 No.1, April 2024
Publisher : LLDIKTI X Sumbar, Riau, Jambi, Kepri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62769/katalisator.v9i1.2902

Abstract

Treatment of inflamed acne is done by administering antibiotics and chemicals, which can usually cause side effects such as skin irritation and resistance. To avoid this, it can be replaced by doing traditional treatment using natural ingredients. Senduduk plant (Melastoma malabathricum L.) is one of the natural ingredients that can be used to treat acne because it contains secondary metabolites of flavonoids, phenolics, tannins and terpenoids that are very potential as antibacterials. This study aims to determine the ethanol extract of senduduk leaves can be formulated in a physically stable gel dosage form and determine the antibacterial activity against Propionibacterium acne and Staphylococcus aureus bacteria. This study used an experimental method by making 3 types of formulas containing ethanol extract of senduduk leaves (Melastoma malabathricum L.) 1.5%, 2.5% and 3.5%. Furthermore, the evaluation of the gel preparation included organoleptic test, homogeneity test, pH test, spreadability test and adhesion test. Antibacterial activity testing was carried out by the pitting diffusion method using Klindamycin as a positive control. Based on the results of the gel preparation evaluation, it shows that the anti-acne gel preparation has physical quality that meets the standards. Antibacterial activity test of senduduk leaf ethanol extract gel against S.aureus bacteria at concentrations of 1.5%, 2.5% and 3.5% had inhibition zone diameters of 20.3 mm, 21.4 mm, and 24.2 mm, respectively, while against P. acnes bacteria it was 21.6 mm, 25.3 mm, and 26.5 mm. It can be concluded that the anti-acne gel of senduduk leaf ethanol extract has antibacterial activity against S. aureus and P. acnes bacteria and can be made into an anti-acne gel dosage form.
Co-Authors Aufatus Syakira Mardhatillah Diza Sartika Legiawan, Mohamad Kany Mimi Yupelimi Mutia Erti Dwiastuti Ringga Novelni Rudi Cahyo Wicaksono Susi Wuryantini Turnika Afdatul Rafni Unun Triasih Vici Syahril Chairani