Scientia: Journal of Multi-Disciplinary Science
SCIENTIA: Journal of Multi-Disciplinary Science refer on: Agricultural Science: Agronomy (cash crops, cereal crops, fodder crops, & weed science), Animal Science (husbandry & veterinary), Computer in Agriculture, Crop Ecology, Crop Science, Entomology, Environment in Agriculture, Fisheries, Forestry, Genetics & Plant Breeding, Genomics, Horticulture (fruits, vegetables, flowers, spice, & condiments), Packaging, Plant Biotechnology, Plant Pathology, Plant Physiology, Plant Science, Postharvest (physiology & technology), Soil Science, Storage & Shelf Life, and Water Management. Biological Science: Botany, Cell Biology, Chemical Biology, Chrono Biology, Computational Biology, Conversion Biology, Developmental Biology, Ecology, Evolutionary Biology, Marine Biology, Microbiology, Microbial Ecology, Microbial Genetics, Molecular Biology, and Zoology. Chemical Science: Analytical Chemistry, Biochemistry, Catalysis, Chemical Biology, Combinatorial Chemistry, Computational Chemistry, Crystal Chemistry, Energy & Environmental Chemistry, Geochemistry, Green Chemistry, Material Science, Molecular Chemistry, Nano Science, Organic Chemistry, Physical Chemistry, and Proteomics. Engineering and Technology: Agricultural Engineering, Bioinformatics, Biological Engineering, Cement & Concrete, Chemical Engineering, Computer-aided Materials Design, Computer Science & Engineering, Civil Engineering, E-Business, E-Commerce, E-Government, Electrical Engineering, Electronics & Communication Engineering, Graphics & Multimedia, Industrial Engineering, Information Technology, Infrastructure Engineering, Machine Learning, Manufacturing Engineering, Mechanical Engineering, Mobile & Wireless Networks, Optical Networks, Remote Sensing & Information System, Software Engineering, and Transportation & Logistics. Social Science: anthropology, archeology, economics, political science, gender studies, regional and cultural studies, population, psychology, state administration, tourism and sociology. Health Science: pharmacology, nurse, toxicology, pharmaceutical science, veterinary science occupational therapy, physiotherapy, nutrition, and related disciplines will be considered to be reviewed.
Articles
45 Documents
<![CDATA[Geotechnical Evaluation of Subgrade Soil on the Frans Kasaipo Road in Tosa Urban Village ]]>
<![CDATA[Idhar Adjam]]>;
<![CDATA[Firman Anhar]]>;
<![CDATA[Indra Altarans]]>;
<![CDATA[Fitriyanti Faruk]]>
<![CDATA[ SCIENTIA: Journal of Multi Disciplinary Science Vol. 5 No. 1 (2026): January - June ]]>
Publisher : <![CDATA[PT. Sangadji Media Publishing ]]>
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DOI: 10.62394/scientia.v5i1.251
<![CDATA[Soil is a vital natural resource that plays a crucial role in sustaining life. In addition to serving as a medium for plant growth, a provider of essential resources, and a physical foundation, soil also functions as an integral component of ecosystems. Degradation of soil functions may lead to ecosystem disturbances. The road section in Tosa Urban Village, East Tidore District, frequently experiences landslides during the rainy season. This road serves as a critical transportation route for the local community, supporting daily activities such as education, economic transactions, social interactions, and cultural events. Several segments of the road are characterized by steep slopes, which increase the potential for landslides, particularly during periods of high rainfall. Laboratory testing of soil samples from the Tosa area indicated a California Bearing Ratio (CBR) value of 5.77%, a maximum moisture content of 20.5%, and a maximum dry density of 1.73 g/cm³, reflecting very low bearing capacity. Grain size analysis showed that the natural soil consists predominantly of silt–clay materials, with more than 35% passing the No. 200 sieve, classifying it as A-7 soil according to the AASHTO system. The percentage passing the No. 200 sieve reached 108.77% for samples 1–3, exceeding the minimum classification requirement. The plasticity index was recorded at 14.91%. Atterberg limits testing further classified the soil as A-7-6, with a liquid limit exceeding 41% and a plasticity index greater than 11%. Specific gravity tests revealed that soil samples 1 and 2 are classified as humus soils, while sample 3 is identified as organic silt. Based on these findings, appropriate landslide mitigation measures for locations 1–3 include slope cutting, soil anchoring, and drainage system installation.]]>
<![CDATA[Determinants of Household Perceptions and Acceptance of Sago as a Local Staple Substitute ]]>
<![CDATA[Natal Basuki]]>;
<![CDATA[Nursamsi Nursamsi]]>;
<![CDATA[Haris Mahmud]]>;
<![CDATA[Suhardi Suhardi]]>
<![CDATA[ SCIENTIA: Journal of Multi Disciplinary Science Vol. 5 No. 1 (2026): January - June ]]>
Publisher : <![CDATA[PT. Sangadji Media Publishing ]]>
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DOI: 10.62394/scientia.v5i1.299
<![CDATA[Research on local food systems has often overlooked the comprehensive dynamics of household perceptions, particularly in archipelagic regions characterized by high levels of food vulnerability. This study aimed to examine the determinants of household perceptions and acceptance of sago (Metroxylon sagu) as a local staple food substitute in Tidore, Indonesia. A quantitative approach was employed through a survey of 88 households selected using proportional random sampling from a population of 728 households. Data were collected using a structured Likert-scale questionnaire and analysed using descriptive statistics, perception index analysis, and multiple linear regression. The findings revealed that household perceptions of sago were generally high, as reflected by the accessibility and availability index (76.74), nutrition and health awareness index (87.84), social acceptance index (88.18), and economic value and food security index (85.97). Multiple regression analysis indicated that age (B = 2.31, p = 0.021), education (B = 3.59, p < 0.001), and household size (B = 5.19, p < 0.001) had positive and statistically significant effects on household perceptions of sago. In contrast, household income showed no significant effect (B = −1.97, p = 0.11), while the model explained 54.7% of the variance in household perceptions (R² = 0.547). These findings provide empirical evidence that sago represents a strategic local food resource for strengthening food security in archipelagic regions. The study highlights the need for local governments to formulate integrated food diversification policies and promote value-added processing of sago-based products to reduce dependence on imported staple foods.]]>
<![CDATA[Ethics and Privacy in the Tourism Industry During the Society 5.0 Era: A Systematic Literature Review ]]>
<![CDATA[Febriyanti Amol]]>;
<![CDATA[Dominicus Wahyu Pradana]]>;
<![CDATA[Apriance L. Amol]]>;
<![CDATA[Nina Disyani Uky]]>
<![CDATA[ SCIENTIA: Journal of Multi Disciplinary Science Vol. 5 No. 1 (2026): January - June ]]>
Publisher : <![CDATA[PT. Sangadji Media Publishing ]]>
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DOI: 10.62394/scientia.v5i1.284
<![CDATA[The tourism industry is particularly vulnerable to ethical violations, privacy breaches, and the misuse of personal data, especially amid rapid digital transformation. This study aims to identify research trends concerning privacy and ethics in tourism, examine the factors influencing these issues during travel, and explore the role of technology in supporting and transforming the tourism industry. A systematic literature review (SLR) was conducted using five academic databases: Scopus, ScienceDirect, the Directory of Open Access Journals (DOAJ), Springer, and Wiley Online Library. A total of 427 articles were initially identified, of which six met the established inclusion criteria following a systematic screening and selection process. The review focused on publications from 2019 onward, corresponding to the period associated with the emergence and development of Society 5.0. The findings indicate that existing research predominantly focuses on privacy-related issues, whereas ethical dimensions remain relatively underexplored, revealing a significant gap in the literature. The reviewed studies further demonstrate that digital technologies play an increasingly important role in transforming tourism practices while simultaneously creating new challenges related to privacy and ethical responsibility. This study contributes to the literature by synthesizing existing evidence on the interplay between privacy, ethics, and digital technology in the tourism ecosystem. The findings suggest that successful digital transformation in tourism requires not only technological advancement but also the integration of ethical principles and effective privacy protection to support responsible and sustainable tourism development.]]>
<![CDATA[Business Risk Management In The Era of Generative Artificial Intelligence Technology ]]>
<![CDATA[Nur’Aini Ramadhani]]>;
<![CDATA[Mohammad Gamri]]>;
<![CDATA[Muhammad Fuzail]]>
<![CDATA[ SCIENTIA: Journal of Multi Disciplinary Science Vol. 5 No. 1 (2026): January - June ]]>
Publisher : <![CDATA[PT. Sangadji Media Publishing ]]>
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DOI: 10.62394/scientia.v5i1.252
<![CDATA[This study examines business risk management in the era of Generative AI technology through a Systematic Literature Review approach using sources from Google Scholar and DOAJ, focusing on publications from 2016 to 2025. The results of the study show that risk management requires a holistic and adaptive approach that involves technical, policy, leadership, and organizational culture aspects. The risks that arise are not only technical but also ethical and regulatory, so that effective mitigation strategies include cross-sector collaboration, the use of advanced technology for monitoring and simulation, and the formation of a flexible organizational culture with communicative and ethical transformational leadership. There is a gap in the implementation of comprehensive regulatory policies and organizational culture transformation mechanisms to accelerate technology adoption while deeply considering social and ethical aspects. This study highlights the urgency of developing an inclusive AI governance model and effective cultural transformation strategies as a focus for future research to support responsible and sustainable innovation.]]>
<![CDATA[The Influence of Social Media on Generation Z Consumer Behavior in Purchasing Decision Making ]]>
<![CDATA[Erin Sri Wahyuni]]>;
<![CDATA[Dedy Iswanto]]>;
<![CDATA[Ravendra Jedhrav]]>
<![CDATA[ SCIENTIA: Journal of Multi Disciplinary Science Vol. 5 No. 1 (2026): January - June ]]>
Publisher : <![CDATA[PT. Sangadji Media Publishing ]]>
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DOI: 10.62394/scientia.v5i1.256
<![CDATA[Driven by the rapid growth of the digital economy, social media significantly reshapes consumer behavior, particularly among Generation Z. This study aims to systematically analyze the influence of social media on Generation Z purchasing decisions through a Systematic Literature Review (SLR) approach. Academic literature was retrieved from the Google Scholar and DOAJ databases, focusing on peer-reviewed articles published between 2016 and 2025. Synthesizing these empirical studies, the analysis demonstrates that social media substantially impacts Generation Z purchasing behavior, primarily driven by digital engagement, influencer credibility, and user-generated review authenticity. These factors collectively serve as key catalysts in establishing brand trust and long-term customer loyalty. Furthermore, the findings reveal that Generation Z consumer decision-making is governed not only by traditional rational considerations but also by emotional and social dynamics fostered through digital interactions. Despite these insights, a critical research gap remains regarding the simultaneous interrelationships among these variables and the long-term effects of continuous social media exposure on sustainable consumption patterns. To address these limitations, this study recommends that future research develop an integrative conceptual framework combining digital credibility, emotional trust, and brand loyalty within the evolving digital commerce ecosystem. Ultimately, these findings provide valuable strategic insights for marketers seeking to design effective, trust-oriented digital marketing strategies targeted at Generation Z consumers.]]>
