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Jurnal Natural
Published by Universitas Syiah Kuala
ISSN : 14118513     EISSN : 25414062     DOI : https://doi.org/10.24815/jn
Core Subject : Science, Agriculture,
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Earth & Planetary Sciences Energy Immunology & microbiology Neuroscience Physics
Jurnal Natural (JN) aims to publish original research results and reviews on sciences and mathematics. Jurnal Natural (JN) encompasses a broad range of research topics in chemistry, pharmacy, biology, physics, mathematics, statistics, informatic and electronic.
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 9 Documents
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Search results for , issue "Volume 23 Number 2, June 2023" : 9 Documents clear
Performance of copula and nested error regression models in estimating per capita expenditure of sub-district in Pidie Regency NUR HASANAH; KHAIRIL ANWAR NOTODIPUTRO; BAGUS SARTONO
Jurnal Natural Volume 23 Number 2, June 2023
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v23i2.31095

Abstract

In unit-level small area estimation (SAE), the commonly used nested error regression (NER) model assumes normality which is not always the case. To handle non-normal data, researchers in statistics have developed a novel approach using exchangeable and extendible copula called the multivariate exchangeable copula (MEC) model. This study compares the performance of parametric MEC and NER models in estimating the sub-district average of per capita expenditure (PCE) in Pidie Regency, Aceh Province. This study presents PCE, which has a skewed distribution of the three-parameter skew-normal. The parametric MEC model uses a Gaussian copula from the Elliptical family and an empirical best unbiased prediction (EBUP) estimator. Meanwhile, the NER model uses an empirical best linear unbiased prediction (EBLUP) estimator. The results reveal that at a 95% confidence level, the parametric MEC model outperforms the NER model with a smaller root of mean squared error (RMSE) and provides a more precise estimate of the sub-district average of PCE. This study highlights the importance of considering the parametric MEC model as an alternative method for skewed data in unit-level SAE. The results of this study have the potential to support the achievement of Goal 1 (to end poverty) and Goal 10 (to reduce inequality) of the sustainable development goals (SDGs) by providing average PCE estimates at the sub-district level.
Composition and similarity of vegetation types in the Mount Seulawah Agam geothermal area, Aceh Besar District DAHLAN DAHLAN; MUHAMMAD DOUDI; SAIDA RASNOVI; DALIL SUTEKAD; MUSLICH HIDAYAT
Jurnal Natural Volume 23 Number 2, June 2023
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v23i2.31989

Abstract

The Mount Seulawah Agam area is an active volcanic area that has an impact on the emergence of symptoms of volcanism. Such environmental conditions will cause the vegetation that grows in the area to be unique and not commonly found in other areas. Apart from that, the area is still relatively natural and has not experienced much disturbance by human activities. This study aims to determine the composition and similarity of vegetation types in the geothermal area of Mount Seulawah Agam, Aceh Besar District. Data collection in the field was carried out using the multiple square method which was placed in a stratified sampling based on the specified soil temperature zone. Each zone was laid out in 4 square plots in a systematic random manner. Each plant contained in the observation plot is recorded in the name of the plant species using a flora identification book, and the number of individuals of each type is recorded. Data analysis was carried out using the Important Value Index analysis, and the Sorenson Similarity Index. The results showed that there were 65 species from 611 individual plants identified starting from the growth rate of seedlings, sapling, poles, and trees. The similarity index of plant species at each growth stage in the Seulawah Agam geothermal area, Aceh Besar District generally has different species similarity in each observation zone, that is, the average is below 50%. This condition indicates that there are significant differences in plant structure at various growth rates in each zone
The Classification of “Program Sembako” recipients in Payobasung West Sumatra based on the K-nearest neighbors classifier HAZMIRA YOZZA; NINDI MAULA AZIZAH; LYRA YULIANTI; IZZATI RAHMI
Jurnal Natural Volume 23 Number 2, June 2023
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v23i2.29738

Abstract

The "Sembako Program" is a program carried out by the Indonesian government to improve the welfare of low-income communities. The purposes of this study are: (a) to determine the classification of households that deserve to receive basic-food assistance in Koto Panjang Payobasung, West Sumatra, using the KNN classifier and (b) to determine the optimal number of nearest neighbors used in the classification process. The measure of proximity between objects used is the Gower dissimilarity coefficient. This research used primary data consisting of 175 households collected purposively in a survey conducted on all households in Payobasung.  The optimal K value is determined by implementing a 5-fold cross-validation procedure. The result showed that the best classification process is when K = 3 nearest neighbors are used since it produces the highest accuracy coefficient and Mattews correlation coefficient (MCC). Therefore, for further work, in deciding the eligibility of a household to receive the Sembako Program in Payobasung, KNN can be used by considering its 3 nearest neighbors
Analysis of protease activity of melinjo (Gnetum gnemon L.) skin on the tenderness of buffalo meat FAISAL ABDURRAHMAN; OTHMAN OMAR; ISWADI ISWADI
Jurnal Natural Volume 23 Number 2, June 2023
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v23i2.28624

Abstract

To enhance the tenderness of meat, it can be accomplished physically or chemically. In chemical way, the process can be accomplished using protease enzymes that can be obtained from fruit, the higher the protease enzyme activity, the softer the meat. In this experiment, the extract and juice of melinjo skin (Gnetum gnemon L) was used to examine the protease enzyme activity. Papaya (Carica papaya) and pineapple (Ananas comosus) were used as a comparison. The research was conducted to understand the influence of incubation time (t) and incubation temperature (To) towards the optimum activity characteristic of protease enzyme on the juice and the extract of melinjo skin, papaya and pineapple. The incubation time of juice and extract was from 0 to 90 minutes with incubation temperature of 37 C and incubation time at 20 minutes with incubation temperature range from 20 to 80C. The protease enzyme activity of juice and extract expand significantly (p0.05) in conjunction with the increase of incubation time and temperature. The research results revealed that the maximum activity of protease enzyme detected at incubation time of 90 minutes for melinjo juice and pineapple skin, and 10 minutes for papaya. The optimum incubation temperature of melinjo skin at 70 C, papaya at 60C and pineapple juice at 60C. Meanwhile, the maximum activity of protease enzyme from melinjo extract identified in the incubation time at 80 minutes, papaya at 90 minutes and pineapple 60 minutes, whereas the incubation temperature of melinjo skin juice at 60 C, papaya at 80  C and pineapple at 30C.
Generalized structured component analysis (GSCA) method in evaluating service satisfaction at FMIPA Syiah Kuala University EVI RAMADHANI; NURJARIATI NURJARIATI; NURHASANAH NURHASANAH; NANY SALWA; LATIFAH RAHAYU SIREGAR
Jurnal Natural Volume 23 Number 2, June 2023
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v23i2.27808

Abstract

This research focuses on the Generalized Structured Component Analysis (GSCA) method in evaluating service satisfaction at FMIPA Syiah Kuala University (USK).  FMIPA USK is expected to have good service quality to satisfy stakeholders with the services provided.  FMIPA USK needs to know the factors that affect service satisfaction.  An internal survey of the integrity zone is one way to determine the quality and satisfaction of the services provided by FMIPA USK.  However, this survey uses indirect variables, so the structural equation model (SEM) can be used.  The SEM method used in this study is component-based SEM, namely Generalized Structured Component Analysis (GSCA).  GSCA is used because questionnaires do not fulfill existing assumptions in general research, and the GSCA method does not require many assumptions.  This research aims to form a model, determine the relationship between indicators and latent variables, and know the relationship between latent variables and the factors significantly affecting student satisfaction with services at FMIPA USK.  The results of this study show that the indicators used are valid and reliable.  Reliability, assurance, empathy, and tangibles is a factor that affects service satisfaction.  Models formed in this study have a GFI value of 0.962 and SRMR of 0.365, so the model used is suitable.
Application of optimized Streptococcus thermophilus and Lactobacillus bulgaricus on coconut milk in the production of niyoghurt DEWI YUNITA; ELSA VARIZKI; SYARIFAH ROHAYA; IRFAN IRFAN; MURNA MUZAIFA
Jurnal Natural Volume 23 Number 2, June 2023
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v23i2.29310

Abstract

This research aimed to optimize the growth of commercial yogurt starter cultures (Streptococcus thermophilus and Lactobacillus bulgaricus) on coconut milk before they were applied in the production of coconut yogurt, which is known as niyogurt or cocogurt. The research consists of three steps. Firstly, both microbes were grown on 100% cow’s milk and were analyzed for pH and total lactic acid bacteria (LAB) to examine the length of fermentation time. Secondly, both microbes were gradually grown on cow’s milk and coconut milk media, with samples ranging in combinations of the two kinds of milk from 100% milk to 100% coconut milk. Finally, the optimized starter cultures were then applied to niyogurt production. The results showed that the pH of the starter cultures obtained in 100% milk after 48 hours of fermentation was 4.41±0.04 for Streptococcus thermophilus and 4.44±0.03 for Lactobacillus bulgaricus. Meanwhile, the total lactic acid bacteria counts were 8.62±3.03 log cfu/ml for Streptococcus thermophilus and 9.55±2.22 log cfu/ml for Lactobacillus bulgaricus. These results showed that both commercial starter cultures need long periods to reach the targeted pH and total lactic acid bacteria (LAB) suggesting that enrichment was needed before commercial starter cultures were used. Furthermore, after analyzing six samples of growth on different ratios of milk and coconut milk, it was seen that both starters could grow optimally on 100% coconut milk. The total LAB after 24 hours of fermentation was 11.07 log cfu/ml with pH 4.05. Based on chemical and microbiological analyses, the characteristics of niyogurt have met Indonesia’s Standard for food consumption (SNI 2981:2009). The niyogurt consisted of 3.15% protein content, 8.3% fat content, 0.83% total acid, 0.76% mineral content, and 11.48 log cfu/ml total LAB.
The potential of the metabolites active from Moringa leaves (Moringa oleifera, Lam) on sensitivity of doxorubicin towards breast cancer: in silico studies FRENGKI FRENGKI; KMS M AMIN ALQADRI; SITI AISYAH; HENNIVANDA HENNIVANDA
Jurnal Natural Volume 23 Number 2, June 2023
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v23i2.31142

Abstract

Breast cancer is one type of cancer with the highest incidence suffered by women. Doxorubicin is a chemotherapy that is often used as the main chemotherapy and combination chemotherapy, but the use of doxorubicin is often complained of side effects that cause auto resistance. Combination with chemopreventives from natural ingredients has become an option to increase therapeutic response and to minimize side effects and resistance to chemotherapy use. This study aims to screen several active compounds of the phenolic-flavonoid group contained in Moringa leaves (Moringa oleifera, Lam) against NFκβ receptors in silico using a molecular docking technique. The material in the form of “Canonical smiles” data is quercetin, quercetin-3 glycoside (Q3G), rutin, kaempferol, myricetin, isorhamnetin, deoxyelephantopin and doxorubicin which were downloaded from www.pubchem.org and converted to 3D structures using MOE software. While the 3D structure of the receptor (1VKX) was downloaded from www.rscb.org. The results of the docking of the active compounds contained in Moringa leaves (Moringa oleifera, Lam) showed a fairly strong affinity by releasing energy when forming a ligand-receptor complex. Quercetin 3-glycoside has the best potential as an NF inhibitor with an affinity of -14.23 kcal/mol. Quercetin 3-glycoside also has a good pharmacokinetic profile with low toxicity. While the phenolic-flavonoid compounds contained in other Moringa leaves are only able to reduce the affinity of doxorubicin for the NF receptor by changing the "site binding" conformation of the receptor. In conclusion, quercetin 3-glycoside deserves to be a drug candidate or a companion to the chemotherapy of doxorubicin.
Aquifer layer in Muara Batu and Dewantara Sub-district based on resistivity cross-sectional model SYAFRIZAL IDRIS; MULIANI MULIANI; NANDA NOVITA
Jurnal Natural Volume 23 Number 2, June 2023
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v23i2.23921

Abstract

This study aims to determine the depth of the aquifer layer in the Muara Batu and Dewantara sub-district as a source of groundwater that can be used continuously. The identification of this aquifer layer is based on the results of the resistivity values of subsurface rocks measured using the electrical resistivity method of the Schlumberger array. Data acquisition was carried out on 3 lines (MB1, MB3, and MB4) with a length of 330 m each. The variations in the resistivity values of the rocks obtained were modeled in the form of a 2D cross-section using the Res2DInv software, thus providing an overview of the subsurface for groundwater exploitation. The cross-sectional model obtained shows that the shallow aquifer layer is at a depth of 20-52 m (2-12 Ωm) on the MB1 and a depth of 60 m on MB3 and MB4. The low resistivity value 12 Ωm on the MB1 indicates that the subsurface is generally composed of water-saturated rock layers.
Agronomical traits performance and variability of the SSD F4 mungbean population SURJONO HADI SUTJAHJO; NUR KHOLISOH; HESTI MAULIDA; SITI MARWIYAH; DESTA WIRNAS; EDIZON JAMBORMIAS
Jurnal Natural Volume 23 Number 2, June 2023
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v23i2.24136

Abstract

Genetic variability is critical in order to create candidates for new superior varieties. This research objective was to evaluate the performance and variability of agronomical traits on the mungbean SSD F4 V422H/129 population. The research was conducted at IPB University, Bogor, from March to June 2021. The SSD F4 VR422H/129 population (378 genotypes with single plant as a representative of one genotype) and five check varieties were evaluated. The treatments were arranged in augmented design for RCBD in three replications. For agronomical traits, every F4 plant and 10 sample plants for each check variety were observed. Statistical analysis includes mean, frequency-distribution, heritability, genetic variability, correlation. The days to flowering, days to harvesting, generative periods, plant height on F4 V422H/129 were not significantly different from Vima 5, while total pod number, total pod weight, total seed weight, pod length were significantly higher. The agronomical traits were affected by genetic factors (heritability 0.71-0.99%), except for days to harvest. Based on the high genetic variability (CGV 0.62-0.64%), it was possible to select of total pod weight, total seed weight, or pod length in the next generation V422H/129. The total seed weight had a significant positive correlation with total pod weight and pod length.

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