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Muhammad Al awali Salahuddin
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Nusa Tenggara Barat Jalan Ketangga Pijot, No.000186 RT. 001 RW. 001, Desa Ketangga Jeraeng, Kec Keruak 83672, KAB. Lombok Timur, Nusa Tenggara Barat, Indonesia.
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INDONESIA
Indenesian Journal of Tropical Biology
Published by Yayasan Siti Widhatul Faeha Salahuddin Sawal
ISSN : 31089801     EISSN : 31090842     DOI : htttp://doi.org/10.65622/ijtb
Core Subject : Health, Science, Agriculture, Social, Engineering,
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Earth & Planetary Sciences Environmental Science Health Professions Immunology & microbiology Materials Science & Nanotechnology Social Sciences
Indonesian Journal of Tropical Biology (IJTB) is a scientific journal that accommodates the results of basic and applied research in the field of tropical biology. The focus of this journal covers various aspects of biology such as ecology, biodiversity, conservation of biological resources, biotechnology, physiology, genetics, zoology, botany, and microbiology, especially those related to tropical ecosystems. IJTB aims to be a scientific communication forum for historians, researchers, and practitioners in developing science and its application to support tropical ecosystems and biological resources. Published manuscripts can be research results and results that have used scientific methodology standards. Therefore, the Indonesian Journal of Tropical Biology (IJTB) is a peer-reviewed journal published by the Siti Widhatul Faefa Foundation, which is published three times a year (January-April, May-August, September-December) in online and print versions.
Arjuna Subject : Biokimia, Genetika dan Biologi Molekuler - Biokimia, Genetika dan Biologi Molekuler (Lain-Lain)
Articles 26 Documents
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Modelling Current and Future Mangrove Distribution under RCP 8.5 Climate Scenario: A Machine Learning Approach on Lombok Island, Indonesia Purnama, Miftahul Irsyadi; Azizah, Lutfia; Grendis, Nuraqila Waida Bintang; Zulkurniawan, Muhamad; ÇOBAN, Hüseyin Oğuz
Indonesian Journal of Tropical Biology Vol. 2 No. 1 (2026): April
Publisher : Yayasan Siti Widhatul Faeha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65622/ijtb.v2i1.235

Abstract

Mangrove ecosystems are essential for coastal protection and biodiversity, yet their distribution is highly influenced by climate variability. This study aims to predict current and future distribution of mangrove habitats on Lombok Island-Indonesia, using environmental predictor variables derived from topographic data and Köppen–Geiger climate classification. Mangrove distribution data were classified into presence and absence categories and integrated with climatic and terrain variables to develop habitat suitability models using five machine learning algorithms: Random Forest (RF), Decision Tree (DT), Naïve Bayes (NB), Artificial Neural Network (ANN), and Support Vector Machine (SVM). Model performance was evaluated using accuracy metrics, and the best-performing model was selected for spatial projection under the Representative Concentration Pathway (RCP) 8.5 scenario for 2050 and 2080. The RF model showed the highest predictive performance. The results indicate a substantial decline in suitable mangrove habitats, decreasing from 12,443 ha under current conditions to 7,255 ha in 2050 and 6,336 ha in 2080, representing a reduction of nearly 50%. This decline is associated with changes in precipitation and temperature regimes that influence hydrological conditions and habitat suitability. The application of machine learning provides a robust spatial approach for predicting mangrove distribution and supports conservation planning and climate-adaptive coastal management.
Determination of Honey Origin Using Mineral Profiling and Multivariate Statistical Analysis Husain, Pahmi; Restu Nirwana, Ana; Faresta, Rangga Alif
Indonesian Journal of Tropical Biology Vol. 2 No. 1 (2026): April
Publisher : Yayasan Siti Widhatul Faeha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65622/ijtb.v2i1.270

Abstract

Honey authenticity and traceability have become increasingly important due to rising concerns over adulteration and mislabeling in the global market. This study aims to evaluate the potential of elemental composition for classifying honey from different origins using multivariate chemometric techniques. Six honey samples were analyzed for selected major and trace elements using spectrometric methods, followed by statistical evaluation through one-way ANOVA, Principal Component Analysis (PCA), and Hierarchical Cluster Analysis (HCA). The results showed significant differences in elemental concentrations, particularly calcium (Ca) and cesium (Cs) (p < 0.001), indicating strong discriminatory potential, while potassium (K) was dominant but highly variable. Univariate analysis exhibited limited classification capability due to overlapping distributions and small sample size. In contrast, chemometric approaches improved classification performance, where HCA showed partial clustering and PCA after standardization provided clearer separation among sample groups. This study concludes that multivariate analysis enhances the reliability of honey classification compared to univariate methods. The findings demonstrate that meaningful classification can be achieved using limited variables and small datasets, supporting the development of cost-effective and accessible approaches for honey authentication and traceability.
Ethnobotanical Diversity and Local Knowledge of Komak Plants (Fabaceae) in West Lombok Regency, Indonesia Tania, Syilvia Fulan; Sukenti, Kurniasih; Sukiman; Rutselin, Florence Kelanit
Indonesian Journal of Tropical Biology Vol. 2 No. 1 (2026): April
Publisher : Yayasan Siti Widhatul Faeha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65622/ijtb.v2i1.277

Abstract

Komak plants are local legume species (Fabaceae) widely distributed in West Lombok Regency and traditionally utilized by local communities. Ethnobotanical studies are important to document the relationship between communities, plant resources, and environmental knowledge that supports sustainable use of local biodiversity. This study aimed to analyze the morphological diversity, utilization patterns, and environmental wisdom associated with komak plants in West Lombok. Data were collected through field observations and semi-structured interviews using purposive and snowball sampling techniques across ten sub-districts. The results identified three main komak species utilized by the community, namely Lablab purpureus, Phaseolus lunatus L., and Canavalia ensiformis (L.) DC. Within the Lablab group, three variants were recorded: L. purpureus subsp. uncinatus Verdc., L. purpureus subsp. purpureus, and L. purpureus var. typicus. Community utilization of komak was classified into six categories: food, traditional medicine, traditional ceremonies, ecological functions, economic functions, and animal feed. The highest Index of Cultural Significance (ICS) was recorded for L. purpureus subsp. purpureus (59), while C. ensiformis showed the lowest value (4). In addition, komak management reflects local environmental wisdom, including mutual cooperation during harvest, traditional seed storage, and ecological adaptation practices that support the sustainability of local agroecosystems.
The Effect of Volume and Surface Area Ratio of Medium on Bacterial Cellulose Production at Different Fermentation Times by Gluconacetobacter sp. SAL53 Puspita, Chaerina Wardiani; Sarkono; Kusuma, A.A. Ngurah Nara; Zana, M. Zannatun Naeem
Indonesian Journal of Tropical Biology Vol. 2 No. 1 (2026): April
Publisher : Yayasan Siti Widhatul Faeha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65622/ijtb.v2i1.278

Abstract

Bacterial cellulose is an extracellular polysaccharide synthesized by several bacterial genera, including Gluconacetobacter sp. SAL53, and has broad potential applications in biotechnology, food, and biomedical industries. Since this bacterium requires aerobic conditions, oxygen availability becomes a key factor influencing cellulose biosynthesis. The surface area of the fermentation medium affects oxygen transfer, while fermentation time determines the duration of bacterial metabolic activity and cellulose accumulation. This study aimed to evaluate the effects of different fermentation medium surface areas and fermentation durations on BC production. The experiment used four container diameters corresponding to surface areas of 78.5, 176.6, 314.0, and 490.6 cm², combined with fermentation periods of 5, 10, and 15 days. The results demonstrated that both surface area and fermentation time significantly influenced BC yield. Increased surface area and prolonged fermentation led to higher BC thickness, wet weight, and dry weight. The highest production was obtained under treatment P4W3, with a surface area of 490.6 cm² and a fermentation period of 15 days, yielding a thickness of 1.33 cm, wet weight of 415.5 g, and dry weight of 4.85 g. This condition was also characterized by a final pH of 3.89, the lowest reducing sugar content (5.22%), and the lowest remaining volume (350 mL), indicating optimal bacterial metabolism. These findings confirm that fermentation surface area and duration are critical factors for optimizing BC production.
Comparison of Antibacterial Activity and Physicochemical Characteristics of Vco (Virgin Coconut Oil) With Different Manufacturing Methods Hadi, Hana Safitri Putri; Sarkono; Kusuma, A.A. Ngurah Nara; Kholidi, Muh. Azhar
Indonesian Journal of Tropical Biology Vol. 2 No. 1 (2026): April
Publisher : Yayasan Siti Widhatul Faeha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65622/ijtb.v2i1.279

Abstract

Cocos nucifera is an important plantation commodity in Indonesia with high economic value and considerable potential for the development of value-added products, including Virgin Coconut Oil. This study aimed to compare the physicochemical characteristics and antibacterial activity of VCO produced using heating, fermentation, and enzymatic methods. The research was conducted experimentally from June to August 2024 at the Advanced Biology Laboratory, Faculty of Mathematics and Natural Sciences, University of Mataram. VCO samples were evaluated through organoleptic tests and physicochemical analyses, including yield, moisture content, peroxide value, and free fatty acid content. Antibacterial activity was tested against Staphylococcus aureus and Escherichia coli using the disk diffusion method. The results showed that all VCO samples generally met Indonesian National Standard quality requirements, except for free fatty acid content in some treatments. The fermentation method produced the highest yield (31.88%), while the heating method resulted in the best overall quality, characterized by 0% moisture content, 0 mg Eq/kg peroxide value, and the highest organoleptic acceptance. All VCO samples exhibited antibacterial activity, although the inhibition zones were categorized as weak. The findings indicate that the heating method is the most suitable for producing high-quality VCO with antibacterial potential.
Influence of Community Knowledge and Attitudes on Ecotourism Development in Bagek Kembar, Lombok, Indonesia Putri, Adinda Fitriana; Suana, I Wayan; Hadiprayitno, Gito
Indonesian Journal of Tropical Biology Vol. 2 No. 1 (2026): April
Publisher : Yayasan Siti Widhatul Faeha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65622/ijtb.v2i1.280

Abstract

Bagek Kembar mangrove ecotourism area in Cendi Manik Village, Sekotong, West Lombok, Indonesia, is being developed by the local community as an environmental conservation initiative and a sustainable tourism destination. Community participation plays an important role in supporting the success of ecotourism development, especially through the knowledge and attitudes of local residents toward mangrove conservation. This study aims to identify and analyze the influence of community knowledge and conservation attitudes on the development of the Bagek Kembar mangrove ecotourism area. The research employed a descriptive quantitative survey method. Respondents were selected using purposive sampling based on their involvement in tourism and conservation activities in the study area. Data were collected through structured questionnaires and analyzed descriptively, followed by multiple linear regression analysis to determine the relationship between variables. The results showed that the community’s level of conservation knowledge was categorized as low, with a percentage of 7.01%, while conservation attitudes were categorized as high, reaching 75%. The regression analysis indicated a positive relationship between conservation knowledge and conservation attitudes. Furthermore, partial statistical testing (t-test) and simultaneous testing (f-test) demonstrated that community knowledge significantly influenced conservation attitudes. These findings suggest that improving environmental education can strengthen community support for sustainable mangrove ecotourism management.

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