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Articles 1,542 Documents
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The Influence of Media Literacy in the Message of Diversity of Earth Convervation on the Knowledge of Indonesian Society Kikin Yuliaty Subarsa Putri; Adamu Abbas Adamu; Saparuddin Mukhtar
Nusantara Science and Technology Proceedings International Conference on Global Resource Conservation (ICGRC)
Publisher : Future Science

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

Abstract

New media gives color to human life. The messages in the new media are very helpful and some even have a negative impact on humans. The main objective of this research is to analyze the effect of the use of new media literacy in the message of diversity in the conservation of the earth to the knowledge of new media users. Concept of research is media literacy and human knowledge. Media literacy is a human ability to use new media in terms of insight, processing messages, analysis messages and evaluating messages. Message. The research method used is quantitative with respondents consisting of large cities Serang, Depok, Makassar, Bandung, Medan, and Jakarta. Reflective descriptive research is positive in both indicator variables. The influence of these two variables is positive and has a strong influence on user knowledge. Research suggestions are that all messages in new media should directly use sentences and images that are understood by users.
Identification of Phenols and Triterpenoids Compounds in Michelia champaca for Treating Covid 19 Symptom by in Silico Khoirin Maghfiroh; Sri Widyarti; Sutiman B. Sumitro
Nusantara Science and Technology Proceedings Bioinformatics and Biodiversity Conferences (BBC)
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2021.0706

Abstract

Michelia champaca is used by the community to treat mild diseases in the population. The plant Michelia champaca produces anti-inflammatory compounds. Some anti-inflammatory classes of compounds include Phenols and Triterpenoids. In disease prevention and treatment mechanics, COVID 19 in particular, the ability of anti-inflammatory compounds is very significant. Coronaviruses are viruses that were first described in 2019 attack the human respiratory system. Cough, a runny nose, and shortness of breath for fever are typical signs of viral infection. In defense mechanisms from coronaviruses, ACE2 is one of the inflammatory mediators used by the body. This study aimed to determine the potential of each group of Phenols and Triterpenoids compounds in Michelia champaca in binding ACE2 in Silico. The method used is docking molecule to find out the potential of anti-inflammatory compound groups. The ligands used in the study were Taraxerol, Taraxeron, Ferulic Acid, and Galic Acid. The protein used in the study was ACE2. The results showed that docking molecules for the Phenols and Triterpenoids groups separately showed that native ligand ACE2 could not bind to ligand copies of the Phenols and Triterpenoids groups. However, there are similar amino acid residues in ligand copy of Gallic acid with NAG. Gallic acid is a compound of phenols. The conclusion of this analysis is the complete ability of treatments and disease prevention in the Michelia Champaca plant as a result of COVID 19. However, the mechanism of interaction of plant compounds with proteins that play a part in the COVID 19 mechanism must still be demonstrated in vitro and in vivo in this research.  
Diabetic Retinopathy Detection Using GoogleNet Architecture of Convolutional Neural Network Through Fundus Images Amnia Salma; Alhadi Bustamam; Devvi Sarwinda
Nusantara Science and Technology Proceedings Bioinformatics and Biodiversity Conferences (BBC)
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2021.0701

Abstract

The number of people who have Diabetes is about 422 million in the world. Diabetes is a group of metabolic disease characterized by elevated lev- els of blood glucose. The serious damage of blood vessels caused by Diabetes in the tissue at the retina is called Diabetic Retinopathy. Diabetic Retinopathy can cause severe blindness. Early detection can help patients find a suitable treatment and prevent the blindness. Opthalmologists can detect this disease by screening, but this method takes a long time, is very costly and need pro- fessional skills to perform it. In the big data era, many researchers use deep learning models for medical help. One of the models use image classification. We have designed a tool using image classification to help ophthalmologists detect diabetic retinopathy. In this research, we use image classification to classify Diabetic Retinopathy into two classes which are normal (No DR) and Diabetic Retinopathy. We use 200 datasets of fundus images that we obtain from Kaggle Database. We used deep learning model in this research that is one of Convolutional Neural Network architecture called GoogleNet. For training the model we used Python as programming languange with Pytorch library. GoogleNet has a very good performance for image classification and has an accuracy of 88%.
Use of SeedCounter Mobile App for Wild Species Seed Number Determination: A Preliminary Study Farid Kuswantoro
Nusantara Science and Technology Proceedings Bioinformatics and Biodiversity Conferences (BBC)
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2021.0702

Abstract

Although its simple nature, seed counting is a crucial but demanding process in seed research and conservation. Manual seed counting, which usually takes a lot of effort and time, needs to be supplemented by new, easy-to-use, and accurate tools to simplify the process. Fortunately, the advance of information technology in recent years is significantly easing daily human life, including seed conservation and research. SeedCounter (https://cutt.ly/xhZFMZk) is a smartphone app which could help seed scientist to perform their seed counting process. However, as wild plant seeds come in various sizes, forms, and shapes, the app's ability to perform seed count of wild plant seeds need to be understood entirely. Thus, this study aims to understand the SeedCounter app's ability to perform seed counting in 20 wild plant seeds collected in Bali Botanic Garden Seed Bank Laboratory. We hope that the study will provide preliminary data for the app's potential to help seed conservation and research future efforts. SeedCounter app is downloaded and installed in a Nokia 6.1 Plus smartphone. Seeds photographed using the app with three replications conducted for each of the species. Seed counting is defined as a success if the app can count the seed number three consecutive times correctly. Data analysis was conducted descriptively. The study result showed that the SeedCounter app could correctly count seeds of ten plant species, which compares with 50% of the tested species. The result highlights SeedCounter's potential to simplified the counting process of some wild plant species seed.
Biodiversity of Gastropods in Intertidal Zone of Krakal Beach, Gunungkidul, Yogyakarta G. A. B. Y. P. Cahyadi; Ragil Pinasti; Assyafiya Salwa; Maghfira Aulia Devi; Lutfiyah Rizqi Fajriana; Nila Qudsiyati; Pinkan Calista; Rury Eprilurahman
Nusantara Science and Technology Proceedings Bioinformatics and Biodiversity Conferences (BBC)
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2021.0703

Abstract

Krakal Beach is located in Gunungkidul Regency, Yogyakarta Special Region. This beach is built by coral reefs. The coral reef is an ecosystem that can support various biota to live on it by being a habitat for many species, such as Molluscs. Mollusc is the phylum that has the most members after Arthropods. Approximately 60,000 living species and 15,000 fossil species belong to Mollusc. The phylum Mollusc is divided into seven classes, one of which is Gastropods. Gastropods are Molluscs that move with their abdominal muscles. Molluscs are so diverse, so this research is aimed to study the biodiversity of Molluscs in the intertidal zone of Krakal beach, Gunungkidul, Yogyakarta. The research was conducted on October 4th, 2019 at 03.10 WIB. The research held when ecological parameters were ±21.3oC for water temperature, ±3.6% for salinity, and 7.5 for pH. The samples were collected using a purposive sampling method, preserved by using a dry preservation method, and identified by determining the morphological characteristics of the shell and referred to many references. This study found 7 families from the class Gastropod in the intertidal zone of Krakal beach, those are Aplustridae, Conidae, Cypraeidae, Mitridae, Muricidae, Nacellidae, and Turbinidae.
The Synergy Between Several Bacteria Isolated from the Biodiversity of UB Forest Coffee Litter in Vitro Gallyndra Fatkhu Dinata; Luqman Qurata Aini; Abdul Latief Abadi
Nusantara Science and Technology Proceedings Bioinformatics and Biodiversity Conferences (BBC)
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2021.0704

Abstract

Exploration of bacteria from coffee litter in UB Forest has several new studies, which have the ability as a biocontrol agent. From previous research, it was known the potential of coffee litter bacteria as the single biological control against basal rot in shallots. This study aims to evaluate the ability of bacteria to synergize with other beneficial bacteria of coffee litter. The research consisted of the preparation of coffee litter bacteria isolates and synergy tests using the cross streak method. Based on the research results, not all bacteria can form a consortium. Bacteria that can synergize with each other are Pseudomonas sp., and Alcaligenes faecalis. Three bacteria that cannot be synergized with each other, are Bacillus mycoides, Clostridium sp. and Erwinia sp which produces clear zones up to more than 30 mm. This is preliminary research before starting a bacterial consortium. With this research, it is expected to be a solution for biological control from a consortium of beneficial bacteria from exploration in UB Forest.
In Silico Study of Secondary Metabolite in Vanilla planifolia to inhibit NUDT5 as Breast Cancer Target Alim El-Hakim; Anggiresti Kinasih; Rachmi Putri; Saifa Usni Putri; Febri Yuda Kurniawan; Endang Semiarti
Nusantara Science and Technology Proceedings Bioinformatics and Biodiversity Conferences (BBC)
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2021.0705

Abstract

Breast cancer is a non-communicable disease that is the main killer for most women in the world. One of ten women with breast cancer will not survive more than five years after diagnosis. Breast cancer cases in Indonesia have been increased annually. As a nucleotide-metabolizing enzyme, NUDT5 (NUDIX hydrolase) catalyzes ADP to ATP nuclear that is used for cell proliferation. NUDT5 is a regulator of tumor driver in breast cancer proliferation. ATP nuclear synthesis can be blocked by inhibiting the NUDT5. The study of potential therapeutic inhibitors for NUDT5 was increased because the current treatment for breast cancer has side effects. Vanilla planifolia is a commercial plant from Orchidaceae which contains secondary metabolites and medicinal potential. This research aims to examine the metabolite of V. planifolia as the inhibitor of NUDT5 activity using molecular docking studies. V. planifolia metabolite and NUDT5 (5nwh) 3D structure were downloaded from the database (RSCB, Pubchem, and Dr. Duke), then the prediction of ADME (absorption, distribution, metabolism, and excretion) and potential bioactivity of the metabolite was analyzed by online structure-based prediction (SwissADME and Way2drug). After that, molecular docking was performed by AutoDock Vina. Three metabolites with the highest binding affinity scores were analyzed by visualization software (Discovery Studio). The result shows that Naphthalene, Caproic acid, Trimethylacetophenone, and Methyleicosane have the highest binding affinity. This result indicated that Naphthalene, Caproic acid, Trimethylacetophenone have the potential effect to inhibit NUDT5 enzyme thus decrease the potential of breast cancer.
Molecular Docking Analysis of Anti-malarial Compounds as Plasmepsin IV Inhibitor from Targeted Indonesian Medicinal Plants Arthur Hariyanto Prakoso; Muhammad Habiburrohman; Wilda Nur Rohmatillah; Bawon Triatmoko; Ari Satia Nugraha
Nusantara Science and Technology Proceedings International Conference on Life Sciences and Biotechnology (ICOLIB)
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2021.0801

Abstract

Malaria is one of the major causes of death in tropical and sub-tropical countries, caused by the infection of the protozoan parasite (Plasmodium falciparum, Plasmodium vivax, Plasmodium malariae, and Plasmodium knowlesi). As the prevalence of parasite drug-resistant strains increasing, alternative medicine to eliminate malaria is needed. In this study, a molecular docking protocol was employed to predict and select natural compounds from Indonesian medicinal plants as an antimalarial drug candidate. The docking protocol was validated by the RMSD value of crystal versus docking calculation. From 43 species of plants, 238 total compounds were collected and docked into Plasmepsin IV (PMIV) enzyme which plays a role in the nutrition uptake of Plasmodium in human blood circulation. This enzyme was collected from a protein database with codename 5I70. The protocol was produced an acceptable RMSD value of 1.435 ?. The docking experiment resulted in AM202 (Cassiamin B) from Cassia siamea as the best potent Plasmepsin IV inhibitor. This compound has the potential candidate for future anti-malarial drugs. Cassiamin B had an affinity value of -11.2 kcal/mol which was higher than PMIV’s native ligand (-3.8 kcal/mol).
Ethnopharmacology and Computer-Aided Tandem Protocol to Search for Antimalarial Agents from Indonesian Medicinal Plants: HAP Inhibitor Adinda Kusuma Pertiwi; Muhammad Habiburrohman; Yoshinta Debby; Bawon Triatmoko; Ari Satia Nugraha
Nusantara Science and Technology Proceedings International Conference on Life Sciences and Biotechnology (ICOLIB)
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2021.0802

Abstract

The anti-malarial potency of Indonesian medicinal plants was evaluated through computational study. From 43 Indonesian medicinal plants, 238 previously reported compounds were carefully docked into HAP (histo-aspartic protease) with codename 3FNT in which the enzyme plays an important catalytic role in Plasmodium falciparum innate metabolism. Exhaustive docking experiments produced 6 best hits molecules including AM210 (4-hydroxy- 3-methoxy strychnine), AM213 (protostrychnine), and AM216 (pseudostrychnine) which have less free energy compared to HAP native ligand, 1,2-ethanediol. This study revealed the potency of Strychnos nux-vomica L. as a source for antimalaria and support its traditional claims.
The Virtual Screening to Search Proplasmepsin II Inhibitor from Indonesian Medicinal Plant Phytochemicals: Anti-Malaria Muhammad Habiburrohman; Wilda Nur Rohmatilah; Arthur Hariyanto Prakoso; Bawon Triatmoko; Ari Satia Nugraha
Nusantara Science and Technology Proceedings International Conference on Life Sciences and Biotechnology (ICOLIB)
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2021.0804

Abstract

The indigenous people of Indonesia have used medicinal plants to survive infectious diseases, including malaria. The knowledge has been passed through the generation and a limited number of the plants have been studied properly. Malaria infection has been an endemic and complicated problem in the archipelago where drug-resistant cases worsen the situation. Natural product study without pharmacological information has been a drawback to the development of natural-based antimalarial. Computational chemistry protocol gives lower cost facilitation to later a conventional in vitro bioassay. In this study, virtual screening was deployed to find a Proplasmepsin II enzyme inhibitor, in which the enzyme plays an important in this parasite metabolism. The enzyme (1PFZ) was collected from the PDB database followed by docking validation before exhaustive docking calculation of 238 compounds from 43 Indonesian medicinal plants. The docking protocol was valid as indicated by rmsd value of 1.275 Å. One top hit molecule, AM56, was gained with its free energy of binding value of 10.8 kcal/mol which is better than the interaction of the native ligand, propane-1,2,3-Triol, with the free energy of binding ( G) score of 3.9 kcal/mol. AM56 was a secondary metabolite of Borassus flabellifer and its anti-plasmodium was previously studied. However, the mechanism of action of AM56 was never been reported. This study was able to discover a molecular scaffold of proplasmepsin II enzyme inhibitor and can be used as a pathway to QSAR study of AM56 semi-synthetic derivatives.

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