Journal of Natural Sciences and Mathematics Research最新文献

Classification of types A and A_+ from low dimensional standard and non-standard filiform Lie Algebras 来自低维标准和非标准丝状列阵的 A 和 A_+ 类型的分类

Journal of Natural Sciences and Mathematics Research Pub Date : 2023-12-13 DOI: 10.21580/jnsmr.2023.9.2.18083

E. Kurniadi, K. Parmikanti, Badrulfalah Badrulfalah

引用次数: 0

Geothermal potential analysis using 3d modeling of subsurface structures based on the Gravity Anomaly in the Mount Lawu area, Central Java 根据中爪哇省劳乌山地区的重力异常，利用地下结构三维建模分析地热潜力

Journal of Natural Sciences and Mathematics Research Pub Date : 2023-12-13 DOI: 10.21580/jnsmr.2023.9.1.14792

Feby Puspita Sari, Andini Restiana, Nabila Firya Wardhianty

{"title":"Geothermal potential analysis using 3d modeling of subsurface structures based on the Gravity Anomaly in the Mount Lawu area, Central Java","authors":"Feby Puspita Sari, Andini Restiana, Nabila Firya Wardhianty","doi":"10.21580/jnsmr.2023.9.1.14792","DOIUrl":"https://doi.org/10.21580/jnsmr.2023.9.1.14792","url":null,"abstract":"Over time, energy needs will continue to increase. Dependence on the use of fossil energy results in the availability of such energy will run out at any time, so it is necessary to develop research on geothermal energy that is environmentally friendly and renewable. One of the Geothermal Work areas is on Mount Lawu, located at coordinates between 111°15' east longitude and 7°30' south latitude in several districts Central Java Province and East Java Province. The purpose of this study is to provide information related to geothermal potential using the gravity method by knowing the temperature of the area and the 3D modeling of subsurface structures. Based on the results of the Second Vertical Derivative (SVD) analysis, three normal faults were found in geothermal sources. The modeling results show that the residual anomaly map depicts a distribution of high anomalies ranging between 2 mGal up to 6.5 mGal scattered from North to South and East to West, suspected to be caused by lava rock intrusion. The results of the 3D inversion model show there are three layers, namely clay rock, which is suspected to be cap rock at a depth of 500 - 2500 m, pyroclastic lava rock, which is suspected to be as a reservoir at a depth of 3000 - 4500 m, and lava, which is suspected to be as a reservoir heat source at a depth of 5000 - 8000 m. Based on the map in Land Surface Temperature (LST) obtained the temperature value of Mount Lawu ranging from 3.14 °C - to 23.25 °C.","PeriodicalId":191192,"journal":{"name":"Journal of Natural Sciences and Mathematics Research","volume":"74 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139181815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Utilization of Nephelium lappaceum (Rambutan) waste as biosorbent for heavy metals and dyes: a review 利用红毛丹（Nephelium lappaceum）废弃物作为重金属和染料的生物吸附剂：综述

Journal of Natural Sciences and Mathematics Research Pub Date : 2023-12-13 DOI: 10.21580/jnsmr.2023.9.2.16929

Suci Rahmadani, Rizky Zalmi Putra, Trisna Kumala Sari, R. D. Y. Away

{"title":"Utilization of Nephelium lappaceum (Rambutan) waste as biosorbent for heavy metals and dyes: a review","authors":"Suci Rahmadani, Rizky Zalmi Putra, Trisna Kumala Sari, R. D. Y. Away","doi":"10.21580/jnsmr.2023.9.2.16929","DOIUrl":"https://doi.org/10.21580/jnsmr.2023.9.2.16929","url":null,"abstract":"Pollution of environmental streams and ecosystems is rising. One of the sources of water contamination is the wastewater from the textile, plastics, and mining sectors, which contains both organic and inorganic pollutants. Heavy metals and dyes in wastewater must be treated before disposal to protect the aquatic environment and human health. Due to its effectiveness, low cost, and simplicity of use, biosorption has emerged as a wastewater treatment option. Rambutan waste, in particular, is promising for commercial usage due to its extensive availability and efficiency. In this article, we review the usage of natural rambutan peels, seeds, leaves, and stems for the biosorption of water contaminants. We discuss the factors that influence pollutant removal. A pH of 6 to 12 is advantageous for cationic pollutant removal, whereas a pH of less than 5 is appropriate for anionic pollutant removal. More significant concentrations of pollutants generally result in lesser removal, whereas higher doses of biosorbent result in higher removal. The ideal adsorption contact time for rambutan peels and seeds was less than an hour. We also discuss the isotherms of the adsorption process.","PeriodicalId":191192,"journal":{"name":"Journal of Natural Sciences and Mathematics Research","volume":"234 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139181207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Phytochemical screening analysis of Guava leaf extract (Psidium guajava L.) against the content of Saponins, Tannins, and Flavonoids 番石榴叶提取物（Psidium guajava L.）中皂苷、单宁酸和黄酮类化合物含量的植物化学筛选分析

Journal of Natural Sciences and Mathematics Research Pub Date : 2023-12-13 DOI: 10.21580/jnsmr.2023.9.2.17835

Meriza Faradilla, Khairul Rizal

{"title":"Phytochemical screening analysis of Guava leaf extract (Psidium guajava L.) against the content of Saponins, Tannins, and Flavonoids","authors":"Meriza Faradilla, Khairul Rizal","doi":"10.21580/jnsmr.2023.9.2.17835","DOIUrl":"https://doi.org/10.21580/jnsmr.2023.9.2.17835","url":null,"abstract":"Guava is a plant with many benefits, especially in the leaves. There are many chemical compounds in guava leaves (Psidium guajava L.), such as flavonoids, tannins, and saponins. Traditionally, Guava leaves have been used for a long time (Psidium guajava L.) as medicine to stop diarrhea, with its availability as an herbal product widely marketed. Using guava leaves as traditional medicine is made by boiling them and extracting them to remove chemical compounds, namely, Tannins found in the leaves. In addition to decoction, guava leaf extract can be obtained by maceration. Research that has been conducted aims to determine the content of saponin compounds, tannins and flavonoids in guava leaves (Psidium guajava L.) using two extraction methods, namely maceration and boiling. The maceration method uses a technical ethanol solvent (96%), and boiling uses a water solvent. Then phytochemical screening is tested based on the color reagent of the compound. Based on the results of research that has been carried out shows that from both extraction methods, positive guava leaf extract (Psidium guajava L.) contains saponin compounds, tannins, and flavonoids.","PeriodicalId":191192,"journal":{"name":"Journal of Natural Sciences and Mathematics Research","volume":"59 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139181694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Numerical computational approach for 6th order boundary value problems 6 阶边界值问题的数值计算方法

Journal of Natural Sciences and Mathematics Research Pub Date : 2023-12-13 DOI: 10.21580/jnsmr.2023.9.1.14907

Folasade Ajimot Adebisi, C. Ishola, O. Uwaheren, Kamilu Adedokun Okunola, M. T. Raji, Wasiu Oseni

引用次数: 0

Analysis of return period and seismic risk of Shallow Earthquake occurrence in Cianjur and surrounding areas 仙居尔及周边地区浅层地震的重现期和地震风险分析

Journal of Natural Sciences and Mathematics Research Pub Date : 2023-12-13 DOI: 10.21580/jnsmr.2023.9.2.18098

Sutrisno Sutrisno, Arif Tjahjono, Fathin Ramadhan Putra

{"title":"Analysis of return period and seismic risk of Shallow Earthquake occurrence in Cianjur and surrounding areas","authors":"Sutrisno Sutrisno, Arif Tjahjono, Fathin Ramadhan Putra","doi":"10.21580/jnsmr.2023.9.2.18098","DOIUrl":"https://doi.org/10.21580/jnsmr.2023.9.2.18098","url":null,"abstract":"Determination of the seismic risk and return period of shallow earthquakes in Cianjur and surrounding areas is very important as a reference in earthquake disaster mitigation programs. Within this return period, structural and non-structural conditions can be prepared in stages that are ready to face disasters if the earthquake recurs. In this study used the least squares statistical method to determine the relationship between frequency and magnitude, level of risk, and earthquake return period. The earthquake data used in this study is sourced from the earthquake catalog of the United States Geological Survey (USGS) spanning 50 years (1973 – 2023). A total of 57 shallow earthquakes that occurred in Cianjur area and its surroundings at coordinates (06°-08°S and 106°-108°E) with magnitude greater or equal to 5.0 at a depth of 0-60 km were used as sample data. Based on the results of data processing and analysis, the return periods are 3.17 to 29.1 years for earthquakes with magnitudes between 5.0 and 6.0, and 29.1 to 267.38 years for earthquakes with magnitudes between 6.0 and 7.0.. Earthquake risk for 10 to 20 years with magnitude greater than 5.0 is 95.74 to 99.82 %, with magnitude greater than 6.0 is 20.09 to 49.70 %, and with magnitude 7.0 is 3.67 to 7.21 %. From the results of processing and analysis of the earthquake data, it shows that the Cianjur area and its surroundings are earthquake-prone areas with a high risk.","PeriodicalId":191192,"journal":{"name":"Journal of Natural Sciences and Mathematics Research","volume":"42 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139180496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Isolation of curcumin compounds in Temulawak Rhizome (Xanthorrhiza Roxb) 从 Temulawak Rhizome（Xanthorrhiza Roxb）中分离姜黄素化合物

Journal of Natural Sciences and Mathematics Research Pub Date : 2023-12-13 DOI: 10.21580/jnsmr.2023.9.2.18189

Muhammad Eka, Putra Ramandha, Nyoman Bagus, Aji Kresnapati

引用次数: 0

Early detection model of Parkinson's Disease using Random Forest Method on voice frequency data 在声频数据上使用随机森林法建立帕金森病早期检测模型

Journal of Natural Sciences and Mathematics Research Pub Date : 2023-12-13 DOI: 10.21580/jnsmr.2023.9.1.13148

Nurul Rifqah Fahira, Armin Lawi, M. Aqsha

{"title":"Early detection model of Parkinson's Disease using Random Forest Method on voice frequency data","authors":"Nurul Rifqah Fahira, Armin Lawi, M. Aqsha","doi":"10.21580/jnsmr.2023.9.1.13148","DOIUrl":"https://doi.org/10.21580/jnsmr.2023.9.1.13148","url":null,"abstract":"Parkinson's disease is the most common nervous system disease that affects all ethnicities, genders, and ages, with a higher prevalence in the elderly and men. Developing countries tend to have higher cases of Parkinson's. The prevalence of death due to Parkinson's in Indonesia reaches the fifth highest cases in Asia and 12th in the world. This neurodegenerative disease affects a person's ability to control movement. Currently, the diagnosis of Parkinson's disease is only based on observation of motor symptoms. Therefore, early detection of the disease cannot be done. His paper proposes an efficient way to detect Parkinson's disease symptoms by comparing the fundamental frequencies of patients' voices using the random forest method. Random forest is a Machine Learning method that applies the ensemble concept, which aims to improve the performance of the classification by combining several decision trees as a basis. Random forests have shown superior algorithm performance in numerous health studies. In this study, the dataset consisted of 20 patients with Parkinson's and 20 normal patients. Data for each patient was taken from 26 types of voice records, and thus, the total data was 1,040 observations. The obtained data is prepared by filtering and rescaling. Then, the data is split and modelled using the Random Forest Method. The random forest model obtained accuracy results of 72.50%, precision (normal) of 72.28%, precision (Parkinson's) of 72.73%, sensitivity (normal) of 73.00%, sensitivity (Parkinson's) of 72.00% and AUC is 80.70%. The built random forest model is quite good at Parkinson's disease detection.","PeriodicalId":191192,"journal":{"name":"Journal of Natural Sciences and Mathematics Research","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139181193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Antibacterial activity of actinomycetes associated with clove plant (Syzygium aromaticum) against Staphylococcus aureus and Escherichia coli 与丁香植物（Syzygium aromaticum）有关的放线菌对金黄色葡萄球菌和大肠杆菌的抗菌活性

Journal of Natural Sciences and Mathematics Research Pub Date : 2023-12-13 DOI: 10.21580/jnsmr.2023.9.2.16702

O. R. Aji, Mar'atul Azizah

{"title":"Antibacterial activity of actinomycetes associated with clove plant (Syzygium aromaticum) against Staphylococcus aureus and Escherichia coli","authors":"O. R. Aji, Mar'atul Azizah","doi":"10.21580/jnsmr.2023.9.2.16702","DOIUrl":"https://doi.org/10.21580/jnsmr.2023.9.2.16702","url":null,"abstract":"Actinomycetes form associations with plants through colonizing plant tissues (endophytes) or by residing in the soil around some plants' roots (rhizosphere). Actinomycetes are known to produce antibacterial compounds. This study aimed to investigate the antibacterial activity of actinomycetes associated with the clove plant (Syzygium aromaticum) against Staphylococcus aureus and Escherichia coli. Actinomycetes were isolated from clove plants and the rhizosphere, and their antimicrobial activity against Staphylococcus aureus and Escherichia coli was evaluated using the agar plug method, where the presence of transparent zones around 10-day-old actinomycete growth indicated inhibition of bacterial growth. Four isolates showed inhibitory effects against Staphylococcus aureus, while only three isolates, B.4, T.3, and T.4, demonstrated inhibitory activity against Escherichia coli, as indicated by the presence of inhibition zones. Isolate T.3 exhibited the highest inhibition zone of 8.5 mm against S. aureus, whereas B.4 displayed the highest inhibition zone of 7.7 mm against E. coli. In conclusion, the actinomycetes found in clove plants (Syzygium aromaticum) demonstrate antibacterial properties against Staphylococcus aureus and Escherichia coli, indicating their potential as antibacterial agents.","PeriodicalId":191192,"journal":{"name":"Journal of Natural Sciences and Mathematics Research","volume":"191 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139181303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction of seawater salinity based on comparison of truncated spline estimators, Fourier Series and Kernel 基于截断样条估计器、傅里叶级数和核的海水盐度预测比较

Journal of Natural Sciences and Mathematics Research Pub Date : 2023-12-13 DOI: 10.21580/jnsmr.2023.9.1.12582

Faisol Faisol, M. Mardianto, Ira Yudistira, Tony Yulianto, Sarmiatul Hasanah

{"title":"Prediction of seawater salinity based on comparison of truncated spline estimators, Fourier Series and Kernel","authors":"Faisol Faisol, M. Mardianto, Ira Yudistira, Tony Yulianto, Sarmiatul Hasanah","doi":"10.21580/jnsmr.2023.9.1.12582","DOIUrl":"https://doi.org/10.21580/jnsmr.2023.9.1.12582","url":null,"abstract":"Salinity is one of the factors that affect salt production. Salinity is defined as the level of saltiness or too much salt in water. The salt in question is a variety of ions dissolved in water, including table salt (NaCl). The higher the level of NaCl contained, the better the quality of the salt formed. This low quality causes Indonesia to import salt, both consumption salt and industrial salt. Because most of the quality of salt still does not meet the criteria of SNI. For this reason, it is necessary to predict the salinity of seawater to help determine the next steps or policies in improving the quality of salt in Indonesia, especially in the Madura area. This research is examined in the form of a nonparametric regression curve estimator with a truncated spline estimator approach, Fourier series and kernel. From the comparison results, the best model for predicting seawater salinity is the estimator of the Fourier series base sine cosine with an oscillation parameter (k) of 2 with a GCV value of 5.017987 and MSE and a coefficient of determination of 0.06299933 and 94.64373%. So the prediction results obtained in this study are close to accurate with MAPE values of 0.07225208%, MSE of 0.0001441417 and coefficient of determination of 99.99%.","PeriodicalId":191192,"journal":{"name":"Journal of Natural Sciences and Mathematics Research","volume":"32 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139181745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0