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Jurnal Natural
ISSN : 14118513     EISSN : 25414062     DOI : https://doi.org/10.24815/jn
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.
Articles 457 Documents
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.
Intercropping system of Capsicum annum L. and Tagetes erecta with Mycorrhizal application and cow waste compost SUSWATI SUSWATI; SERI DEPI; SAISA SAISA; SITI MARDIANA; SAIPUL SIHOTANG
Jurnal Natural Volume 22 Number 3, October 2022
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v22i3.25530

Abstract

Factors that cause fluctuations in chili production are nutrient content and attack by plant disturbing organisms (PDO).  To overcome pest attacks can be done by planting refugia which serves as an alternative that will bring in natural enemies.  In addition, the application of cow dung and mycorrhizal compost as biological agents will be able to maintain soil quality and plant growth.  This study aims to determine the effect of cow waste compost and arbuscular mycorrhizal fungi (AMF) on the growth and production of red chili plants intercropped with refugia plants.  The method was a factorial randomized block design consisting of 2 factors, namely: cow waste compost and AMF.  Cow waste compost consists of 5 levels, namely: K0 = without giving cow waste compost, K1 = cow waste compost at a dose of 5 tons/ha-1, K2 = cow waste compost at a dose of 10 tons/ha-1, K3 = cow waste compost at a dose 15 tons/ha-1, K4= cow waste compost dose of 20 tons/ha-1.  Meanwhile, arbuscular mycorrhizal fungi consisted of 4 levels, namely: M0= without AMF, M1= AMF 50 kg/ha-1, M2= AMF 100 kg/ha-1, M3= AMF 150 kg/ha-1.  The results showed that AMF had a most significant effect on the number of fruits per plant, production per plant, and production per plot, but not significantly different on plant height, some branches, and flowering age of Laris variety red chili.  AMF treatment with 150 kg/ha (M3) dose had the highest average value for all observed parameters.
GOOGLE MAPS AND MAPBOX API PERFORMANCE ANALYSIS ON ANDROID-BASED LECTURE ATTENDANCE APPLICATION Kurnia Saputra; Muhammad Furqan; Taufik Fuadi Abidin; Dalila Husna Yunadi
Jurnal Natural Volume 19 Number 3, October 2019
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v19i3.14459

Abstract

Attendance is an inseparable component from lectures. The current manual attendance process still has its weaknesses, such as the loss or broken attendance sheets, the easiness to conduct fraud on the attendance sheets, and other cases. The attendance system using fingerprint devices are also not available in other locations yet, such as lectures that are done on the field or outdoor, where fingerprint devices are not available. Because of that, an online lecture attendance system that makes use of Android-based smartphones is developed in order to tackle the problem. This online lecture attendance system has the main feature of recording students’ attendances in a radius of 300 metres from the lecturer. This application is named Lecture Attendance System is developed using Rapid Application Development (RAD) model, because it is an effective method to minimise errors in the application. There are two testing performed to the application. The first testing was functional testing of the application. This testing was carried out in order to make sure that all functionalities and features are performing well. The second testing carried out is the distance accuracy testing, to compare between the Google Maps and MapBox API distances. From this testing, it was found that the error percentage using Google Maps is 9.250% and 12.128% for MapBox. From these results, they show that in calculating the distance, using Google Maps API has higher accuracy compared to the MapBox API.
A generalized linear mixed model for understanding determinant factors of student's interest in pursuing bachelor's degree at Universitas Syiah Kuala ASEP RUSYANA; KHAIRIL ANWAR NOTODIPUTRO; BAGUS SARTONO
Jurnal Natural Volume 21 Number 2, June 2021
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v21i2.19325

Abstract

Generalized Linear Mixed Model (GLMM) is a framework that has a response variable, fixed effects, and random effects. The response variable comes from an exponential family, whereas random effects have a normal distribution. Estimating parameters can be calculated using the maximum likelihood method using the Laplace approach or the Gauss-Hermite Quadrature (GHQ) approach. The purpose of this study was to identify factors that trigger student's interest to continue studying at Universitas Syiah Kuala (USK) using both techniques.  The GLMM is suitable for the data because the variable response has a Bernoulli distribution, and the random effects are assumed to be having a normal distribution. Also, the model helps identify the relationship between the dependent variable and the predictors. This study utilizes data from six high schools in Banda Aceh city drawn using a two-stage sampling technique. Stage 1, we randomly chose six out of sixteen public senior high schools in Banda Aceh. Stage 2, we selected students from each school from four different major classes. The GLMM model includes one binary response variable, five numerical fixed-effects, and two random effects. The response variable is the interest of high school students to continue study at USK (yes or no). The five fixed effects in the model including scores of collaboration (C), Action (A), Emotion (E), Purposes (P), and Hope (H).  Finally, the random effects are schools (S) and majors (M). In this study, both Laplace and GHQ techniques produce identical results. The predictors that can explain student interest are A, E, and H. These predictors have a positive effect. The random effects of schools and majors are not significantly different from zero. The model with three significant predictors is better than the complete predictor model.
SYNTHESIS AND CHARACTERIZATION OF TiO2/α-Fe2O3 COMPOSITE USING HEMATITE FROM IRON SAND FOR PHOTODEGRADATION REMOVAL OF DYE Surya Lubis; Ilham Maulana; Masyithah .
Jurnal Natural Volume 18, Number 1, February 2018
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v18i1.8649

Abstract

In this paper, TiO2/α-Fe2O3 composite with high photocatalytic activity was prepared by a mechanical milling using iron sand from Lampanah in Aceh Besar regency as hematite (α-Fe2O3) source. Hematite was extracted from iron sand by using hydrochloric acid followed by co-precipitating using ammonium hydroxide as co-precipitation agent. Hematite and TiO2 powder were mixed and milled on a planetary ball mill without incorporating any solvent. The materials were characterized by using X-ray difraction (XRD) and scanning electron microscopy energy dispersive x-ray spectroscopy (SEM-EDX). The XRD results showed that the iron (III) oxide synthesized was hematite (α-Fe2O3) phase with the average crystallite size 27.967 nm. SEM analysis showed that iron sand was on irregular form, while the hematite (α-Fe2O3) and TiO2/α-Fe2O3 composite was on regular sphere. The TiO2/α-Fe2O3 composite was evaluated on photodegradation of indigo carmine (IC) dye using UV light irradiation. The highest degradation efficiency of IC (100%) was obtained by initial pH of dye solution equal to 1, photocatalyst dosage of 0.2 g, initial dye consentration of 5 mg/L for 120 min irradiation time. The photocatalytic activity of TiO2/α-Fe2O3 composites using UV light was almost the same as that of by solar light. Keywords: Iron sand, α-Fe2O3/TiO2 composite, mechanical milling, photocatalyst, indigo carmine
UJI EFEKTIVITAS SEDIAAN GEL FRAKSI ETIL ASETAT DAUN JAMBU BIJI (Psidium guajava Linn) TERHADAP PENYEMBUHAN LUKA TERBUKA PADA MENCIT (Mus musculus) Lydia Septa Desiyana; Muhammad Ali Husni; Seila Zhafira
Jurnal Natural Volume 16, Number 2, September 2016
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v16i2.5017

Abstract

Guava leaf has various benefits, one of them is accelerating the healing process of a wound. This study aims to formulate the ethyl acetate fraction into a gel form and test the effectiveness of gel formulation toward open wounds in 16 male mices (Mus musculus) which made excision 1 cm circular full thickness wound on the back of mice parallel with Os. vetebra. The ethyl acetate fraction of guava leaf has been made into concentrations of 5% and 7% with base gel used as negative control and Bioplacenton as positive control. The evaluation towards ethyl acetate fraction gels showed the gels have green-yellow color, guava odor, homogenous, relevant pH to the skin 6,31-6,51, and spread over 2,8-3 cm (stiff gel). The gels were applied onto the wounds twice a day for about 21 days. The observation was conducted every day towards the scab formation day, scab chipped day, and wound healing day. The data were analyzed statistically using one way ANOVA then continued with Tukey test. The average day for scab formation, scab chipped, and wound healing process, successively are in the negative control i.e. 6,50 ; 13,50 ; 20,25, then positive control of  3,75 ; 11,00 ; 17,25, for gel with 5% concentration,  3,75 ; 9,75 ; 16,50, and gel with 7% concentration,  4,50 ; 12,00 ; 18,25. The statistical result showed that the ethyl acetats fraction  could accelerate the scab formation (p0,05) and the open-wound healing (p0,05) in mice than the control negative (p0,05), but not in the scab exfoliation (p0,05). Gel concentration 5% accelerated faster in forming the scab, flaking off the scab, and  healing the wound compared with the gel concentration of 7%.