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International Journal of Basic and Applied Science
Published by Institute of Computer Science
ISSN : 23018038     EISSN : 27763013     DOI : https://doi.org/10.35335/ijobas
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Physics
International Journal of Basic and Applied Science provides an advanced forum on all aspects of applied natural sciences. It publishes reviews, research papers, and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files and software regarding the full details of the calculation or experimental procedure, if unable to be published in a normal way, can be deposited as supplementary electronic material.
Arjuna Subject : Umum - Umum
Articles 119 Documents
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Ratio estimator for double sampling procedure with non-response: An empirical study K, Oguagbaka, S.; C, Okoli, O.; O, Aronu, C.
International Journal of Basic and Applied Science Vol. 12 No. 4 (2024): March: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v12i4.281

Abstract

This study proposes a ratio-type estimator for population mean estimation using auxiliary variables with double sampling in the presence of non-response. The study provides expressions for the constant, bias, and mean square errors (MSE) of the proposed estimator and compares it with ten existing estimators. The study employed the secondary source of data collection to evaluate the efficiency of the proposed and existing estimators by analyzing five natural populations from three different sources. The performance of ten (10) estimators was considered in this study. The findings suggest that the proposed estimator and the H estimator provide more accurate and precise estimates of the population mean using an auxiliary variable. Additionally, the study found significant differences amongst the mean values of the constant and bias for the different estimators. A Dunn Kruskal-Wallis multiple comparison tests with the Bonferroni method was performed to ascertain the pair of estimators that contributed to the significant difference observed. When estimating the population means using an auxiliary variable, the proposed estimator outperformed other existing estimators that were taken into consideration in the study
Total plate count and yeast mold count in liquid traditional medicine (Jamu) sold in the sukoharjo region market Jamilatun, Makhabbah; Lukito, Pradea Indah
International Journal of Basic and Applied Science Vol. 12 No. 4 (2024): March: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v12i4.282

Abstract

Jamu is the name for traditional medicine from Indonesia. This liquid traditional medicine is made by boiling all the ingredients, then squeezing the juice and mixing it with boiled water. This simple process of making liquid traditional medicine can cause undesirable impacts, microbial contamination which can cause diseases such as Escherichia coli bacteria which can cause diarrhea. In Sukoharjo, in several areas, there are still many sellers of liquid traditional medicine selling their wares in the market. There is no information regarding the quality of this liquid traditional medicine. This research aims to determine microbial contamination in traditional medicinal liquids sold at the Sukoharjo Regional Market. Research methods include total plate count to determine bacterial contamination and yeast mold count to determine fungal contamination in the kencur rice liquid traditional medicine.  The results of calculating the total plate count showed that 3 samples exceeded the contamination limit with the highest total bacterial value of   Colony Forming Unit (CFU)/ml. The results of the research showed that from the calculation of yeast mold count, 9 samples exceeded the contamination limit with the highest total yeast mold value of  CFU/ml. This results can provide information to the public to increase awareness of consuming herbal medicine and to the local government to provide education to herbal medicine traders. There are still several traditional medicine quality standards that have not been observed in this study, so it is recommended that the quality of the types of microorganisms contamination, be further analyzed
α-glucosidase Inhibitory Activity of Probiotic Isolate LBSU9 Isolated from Traditional Food “Trites”: a Preliminary Study Fachrial, Edy; Ismawati, Ismawati; Nugroho, Titania T; Saryono, Saryono
International Journal of Basic and Applied Science Vol. 12 No. 4 (2024): March: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v12i4.293

Abstract

As the prevalence of type 2 diabetes mellitus continues to increase over the years, research into antidiabetic drugs needs to continue. Probiotics are non-pathogenic microorganisms that have potential as α-glucosidase inhibitors. This study aimed to characterize and determine the α-glucosidase inhibitor activity of LBSU9 isolate, a probiotic isolated from "trites," a traditional food of North Sumatra. The results showed that LBSU9 had bacillus morphology, Gram positive, negative catalase test, TSIA (Triple Sugar Iron Agar) A/A test and non-hemolysis. LBSU9 had good tolerance to simulated gastric acid and bile salts, with growth percentages of 66.54% and 64.74%. LBSU9 also has potent antimicrobial activity against S.aureus and E.coli, with 20 mm and 17 mm inhibition zones, respectively. The alpha-glucosidase inhibitor activity of LBSU9 was 98.4% greater than that of acarbose, which was 97%. Based on the results of this study, it is concluded that LBSU9 isolate has the potential to be a complementary therapy to prevent or treat type 2 diabetes mellitus
Sentiment classification of coral reef 101 content using decision tree algorithm through CRISP-DM Singgalen, Yerik Afrianto
International Journal of Basic and Applied Science Vol. 12 No. 3 (2023): December: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v12i3.297

Abstract

This research aims to classify public sentiment regarding the content of "Coral Reef 101," published by National Geographic. The methodology employed is the Cross-Industry Standard Process for Data Mining (CRISP-DM), encompassing stages such as business understanding, data understanding, modeling, evaluation, and deployment. The Decision Tree algorithm is utilized in conjunction with the SMOTE operator. This comprehensive approach enables the systematic analysis of public sentiment towards coral reef content, facilitating a deeper understanding of public perception and attitudes. The results of this study indicate that the DT algorithm with SMOTE demonstrates an accuracy of 87.51% +/- 4.28% (micro average: 87.50%), a precision of 80.35% +/- 5.10% (micro average: 80.00%) (positive class: Positive), recall of 100.00% +/- 0.00% (micro average: 100.00%) (positive class: Positive), f-measure of 89.02% +/- 3.22% (micro average: 88.89%) (positive class: Positive), and an AUC of 0.875 +/- 0.044 (micro average: 0.875) (positive class: Positive). These metrics demonstrate the effectiveness of the DT algorithm with SMOTE in accurately classifying public sentiment towards coral reef-related content, particularly in correctly identifying positive sentiment instances. The high accuracy, precision, recall, f-measure, and AUC values underscore the robustness and reliability of the model in sentiment analysis tasks.
Comparative analysis of decision tree and support vector machine algorithm in sentiment classification for birds of paradise content Singgalen, Yerik Afrianto
International Journal of Basic and Applied Science Vol. 12 No. 3 (2023): December: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v12i3.298

Abstract

This research aims to analyze public sentiments towards National Geographic's content on the bird of paradise from the perspective of nature-based tourism. The method utilized is CRISP-DM, comprising stages of business understanding, data understanding, modeling, evaluation, and deployment. Focusing on sentiments expressed in response to National Geographic's Bird of Paradise content, this study seeks insights into how the public perceives and values nature-oriented tourism experiences. Comparing the results of DT and SVM algorithms with and without the SMOTE reveals noteworthy differences in classification performance. Without SMOTE, both DT and SVM exhibit relatively lower accuracy and AUC values compared to their counterparts with SMOTE. For DT, adding SMOTE substantially improves accuracy (from 92.44% to 95.20%) and AUC (from 0.517 to 0.956), indicating enhanced classification accuracy and model robustness. In addition, SVM demonstrates significant performance gains with SMOTE, achieving notably higher accuracy (from 92.12% to 98.63%) and AUC (from 0.617 to 0.999). The significantly higher values across various performance metrics for SVM underscore its effectiveness in handling imbalanced datasets and accurately classifying sentiment data. Therefore, researchers and practitioners may consider leveraging SVM for sentiment analysis tasks in similar contexts to achieve optimal classification results and enhance decision-making processes.
Culture and heritage tourism sentiment classification through cross-industry standard process for data mining Singgalen, Yerik Afrianto
International Journal of Basic and Applied Science Vol. 12 No. 3 (2023): December: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v12i3.299

Abstract

This study investigates the efficacy of machine learning algorithms in sentiment classification within the context of Culture and Heritage Tourism content analysis. This study adopts the CRISP-DM method, a comprehensive methodology encompassing distinct stages, including business understanding, data understanding, modeling, evaluation, and deployment. The k-nearest Neighbors, Decision Tree, Naive Bayes Classifier, and Support Vector Machine models are used. The performance of each model is scrutinized through confusion matrix analysis, encompassing metrics such as accuracy, precision, recall, and F-measure. Additionally, the impact of the Synthetic Minority Over-sampling Technique (SMOTE) implementation on addressing data imbalance is assessed. Leveraging data from the national geographic channel's YouTube platform, with a focus on ma'nene content, results reveal SVM's consistent superiority, particularly with SMOTE integration, showcasing elevated accuracy (77.89%), precision (72.60%), recall (89.62%), and F-measure (80.21%) values. These findings underscore the importance of algorithm selection and data preprocessing methods in enhancing sentiment classification accuracy for culture and heritage tourism content, thus contributing quantifiable insights to the tourism research domain.
Preliminary in silico study of a novel paratransgenic weapon against malaria: Genetically modifying wild plasmodium populations via recombinant mosquito symbiont Sun, Joshua; Candra, Daniel Christopher; Pramanda, Ihsan Tria; Bani, Mario Donald; Wu, Nicholas; Husada, William; Alexander, Jonathan; Saputra, Silvan; Aberly, Rachel Sofian; Fidelia, Michelle
International Journal of Basic and Applied Science Vol. 12 No. 4 (2024): March: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v12i4.305

Abstract

Malaria is an infectious disease caused by Plasmodium spp., a protist whose infection is spread by Anopheles mosquito as a vector. A potential method to counter the infection is through paratransgenesis, a promising genetic control approach. This study proposed a new approach by using a transgene carried in a modified Ti plasmid hosted in Asaia bacterium to carry out two purposes: sensing the presence of Plasmodium protein biomarkers and transferring the toxin transgene to the parasite upon detection, thereby killing it without harming the Asaia carrier. The biosensor mechanism was created by repurposing a TonB dependent iron-uptake transport pathway to transcribe the vir genes of Agrobacterium tumefaciens that facilitate the gene transfer. The aim of this in silico project was to serve as a preliminary study on the likelihood of success of the aforementioned biosensor mechanism. This study utilized Alphafold and RCSB (Research Collaboratory for Structural Bioinformatic Protein Data Bank). As for the research tools: PyMOL, ClusPro website, and PRODIGY (PROtein binDIng enerGY prediction) server was used for data preparation, protein-protein docking and binding affinity analysis respectively. The results were assessed with t-test to analyze the significance of the binding affinity, in comparison to other studies that employed similar methods. The result showed Plasmodium protein GGCS (Gamma-glutamylcysteine synthetase) having the highest binding affinity with FecA (Fe(3+) dicitrate transport protein A). The preliminary data suggested that introducing the toxin transgene may be possible through vir gene transcription from the TonB pathway.
Effectiveness of horizontal and vertical constructed wetlands performance systems with some vegetation on domestic waste concentrations Harahap, Azmi wijayanti; Rosmayati, Rosmayati; Rahmawati, Nini
International Journal of Basic and Applied Science Vol. 12 No. 3 (2023): December: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Population growth has resulted in the demand for waste water reclamation increasing rapidly. CW systems are an inexpensive technology with little or no energy requirements and very minimal equipment requirements, resulting in low construction costs. This research will test improving the quality of domestic wastewater using a Vertical Flow Artificial Wetland (VFCW) and Horizontal Flow Artificial Wetland (HFCW) system using kangkong, water hyacinth and lotus vegetation. The results of the research carried out can be concluded as follows: in water spinach vegetation there is no difference in the concentration of BOD, COD, DO, Oil and Fat, Detergent, Ammonia, and total coliform parameters of the horizontal CW type and the vertical CW type. In water hyacinth vegetation there were no differences in the concentrations of BOD, COD, DO, Oil and Fat, Detergent, Ammonia, and total coliform parameters of the horizontal CW type and vertical CW type. In lotus vergetation there were no differences in the concentration of BOD, COD, DO, Oil and Fat, Detergent, Ammonia, and total coliform parameters of the horizontal CW type and vertical CW type. In the research results, there is no significant difference in the horizontal CW and vertical CW types in improving water quality, especially domestic waste, you can use horizontal CW or vertical CW types.
Parasitism capacity of telenomus sp. (hymenoptera: scelionidae) on spodoptera frugiperda, in refugia system Ardina, Ardina; Bakti, Darma; Tobing, Maryani Cyccu L.; Ubaidillah, Rosichon; Darmawan, Darmawan
International Journal of Basic and Applied Science Vol. 12 No. 4 (2024): March: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v12i4.327

Abstract

Fall armyworm (Spodoptera frugiperda) is one of the pests that attacks maize. There are many ways to control this pest problem one of which is to use  insecticides. However, biological control this pest with nature conservation based on the concept of integrated pest control. Refugia plants offer pest control properties based on the IPM (Integrated Pest Management) concept by providing food for parasitoids as the natural enemies. This study aimed to know capacity parasitism of egg parasitoid S. frugiperda in refugia system. This research uses non-factorial randomized group design (RGD) study, the number of S. frugiperda egg parasitoids on maize fields with refugia plants around it was counted.  There were 5 treatments with 5 replications applied in this study: Control/without refugia, maize plants with red refugia (Zinnia elegans), maize plants with yellow refugia (Melanpodium paludosumi), maize plants with white refugia (Turnera subulata), maize plants with red refugia, yellow and white. This study found two species of S. frugiperda egg parasitoids namely Telenomus remus Nixon (Hymenoptera: Scelionidae) and Telenomus dignus (Hymenoptera: Scelionidae) in the field. The overall rate of parasitism egg S. frugiperda was no significant effect. The treatment of maize plants with white and mixed-colour refugia (red, yellow, white) showed the highest egg parasitization at 15 days after planting (DAP). Meanwhile, the dominance of Telenomus remus Nixon parasitoid was at an average of 0.202% and the lowest dominance of Telenomus dignus at 0.030%.
Growth and biochemical responses of red chili (Capsicum annuum L) under drought conditions with 6-Benzylaminopurine application Sihotang, Tambun; Siregar, Luthfi Aziz Mahmud; Rahmawati, Nini
International Journal of Basic and Applied Science Vol. 13 No. 2 (2024): Sep: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v13i2.404

Abstract

The purpose of this research is to assess how red chili plants (Capsicum annuum L.) develop and react biochemically to drought stress, as well as how cytokinin treatment affects these plants. The study employed a factorial Randomized Block Design (RAK) with three replications and two components, namely the degree of drought with three stages, comprising: K1 has an 80% soil water content, K2 has a 60% soil water content, K3 has a 40% soil water content, and S0, S1, S2, and S3 have 0 ppm, 10 ppm, 20 ppm, and 30 ppm of 6-benzylaminopurine concentration, respectively. Plant height, leaf count, root length, flowering age, total and aqueous chlorophyll content, activity of antioxidant enzymes (e.g., superoxide dismutase and peroxide dismutase), and hydrogen peroxide as a signal for plant molecules against dehydration stress are among the parameters assessed. The findings demonstrated that red chili plants under drought stress experienced slower growth, as seen by a reduction in height and leaf count as well as earlier flowering. However, by raising plant height, leaf count, and chlorophyll levels (a, b, and total), cytokinin treatment was able to lessen the deleterious impacts of drought. When treated with 10 ppm 6-Benzylaminopurine, the enzyme activity of superoxide dismutase, peroxide dismutase, and hydrogen peroxide increased, but at other dosages, it tended to decrease, suggesting a slight but noticeable increase in plant defense mechanisms against oxidative stress. Therefore, giving red chili plants 10 parts per million of cytokinin may be a useful tactic for enhancing their resistance to drought stress.

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