EJurnal Universitas Negeri Gorontalo
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Uji N-Gain pada Implementasi STEM pada Model Pembelajaran Problem Based Learning terhadap Keterampilan Berpikir Kritis
No full textPenelitian ini bertujuan untuk menguji pengaruh model pembelajaran Problem-Based Learning (PBL) yang terintegrasi dengan STEM terhadap peningkatan keterampilan berpikir kritis siswa pada materi Termokimia. Metode yang digunakan adalah desain eksperimen dengan kelompok eksperimen yang mengikuti pembelajaran berbasis PBL-STEM dan kelompok kontrol yang mengikuti pembelajaran konvensional. Pengukuran keterampilan berpikir kritis dilakukan menggunakan Uji N-Gain yang mengukur perubahan antara pre-test dan post-test. Hasil penelitian menunjukkan bahwa penerapan model PBL-STEM berhasil meningkatkan keterampilan berpikir kritis siswa, dengan nilai N-Gain tertinggi pada indikator Interpretasi (0,78) dan Analisis (0,70), yang termasuk dalam kategori tinggi. Sementara itu, indikator Evaluasi (0,67), Inferensi (0,63), dan Penjelasan (0,52) menunjukkan peningkatan dalam kategori sedang. Berdasarkan hasil ini, dapat disimpulkan bahwa pembelajaran berbasis PBL-STEM efektif dalam meningkatkan keterampilan berpikir kritis siswa, dengan dampak yang lebih signifikan pada kemampuan analisis dan interpretasi informasi. Model pembelajaran ini dapat diterapkan untuk meningkatkan keterampilan berpikir kritis dalam pembelajaran sains di tingkat menengah
Indeks Kemerataan dan Dominansi Gastropoda di Perairan Pesisir Pantai Moodulio Kabupaten Bone Bolango Provinsi Gorontalo
No full textIndonesia's marine biological diversity is exceptionally rich, encompassing all existing phyla. Among them, the class Gastropoda represents the largest group within the Phylum Mollusca. Organisms inhabiting hard substrates in intertidal zones exhibit remarkable adaptability to dynamic conditions. Gastropods, in particular, demonstrate a high capacity for adaptation, enabling their survival across various habitats. The level of gastropod species diversity in a given aquatic environment is influenced by several factors, including physical environmental conditions. This study investigates the impact of environmental parameters on the evenness and dominance of gastropods, as well as the effects of environmental changes on these community characteristics. Sampling was conducted at three stations along the coastal area of Bone Bolango Regency. An observational procedure employing a census method was used for sample collection, and purposive sampling determined the sampling points based on specific criteria. Gastropod specimens were collected using a hand-picking technique within a 150 m² transect area, observing the entire station's hard substrate. Water quality data were subsequently analyzed using a pollution index. A total of 422 gastropod individuals were recorded across all stations, representing eight families: Conidae, Cypraeidae, Muricidae, Turbinidae, Neritidae, Strombidae, Tegulidae, and Turbinellidae. Nineteen species were identified from the three research locations. The diversity indices calculated for the three locations are as follows: The Shannon-Wiener diversity index (H′) showed values less than four, indicating moderate diversity. The Simpson's dominance index (D) had values close to one, suggesting a high level of dominance. The Pielou's evenness index (J′) approached one, indicating high evenness within the gastropod community
Design of an Integrated Cascade Framework for the Graduation Program of Bank BRI Microcredit Debtors
No full textPurpose: This study aims to develop an adaptive change management framework to enhance the capacity of microcredit borrowers while strengthening the credit risk management model at Bank Rakyat Indonesia (BRI). Currently, BRI faces significant challenges in managing credit risk quality within the micro segment, which accounts for approximately 37.1% of the total loan portfolio. Despite its strategic role in promoting financial inclusion and economic empowerment, this segment continues to exhibit a relatively higher Non-Performing Loan (NPL) ratio compared to other segments. This condition results in substantial provisioning burdens and increases the potential for moral hazard, driven by interest rate subsidies that are not supported by an effective mechanism for debtor graduation.Design/Methodology/Approach: This study employs a qualitative approach, employing thematic analysis, and synthesizes the ADKAR model and the Integrative Change Model (ICM) into an original framework termed the Integrated Cascade Framework (ICF). The ICF framework integrates change simultaneously across three layers: strategic–governance, operational–organizational, and ecosystem–debtor behavior.Findings: The findings indicate that this integration can align the corporate risk appetite with tangible changes in debtor behavior toward graduation. The implementation of the Integrated Cascade Framework (ICF) is expected to foster a more sustainable, well-controlled, and adequate microcredit distribution pattern, thereby significantly enhancing national productive capacity
Flavonoid Content and Antioxidant Activity of Moringa oleifera Leaf Extract by UV–Vis and TLC
No full textMoringa oleifera leaves are widely recognised as a promising source of polyphenolic constituents, particularly flavonoids, that may contribute to antioxidant activity relevant to functional-food and herbal standardisation. This study aimed to evaluate extraction yield, perform flavonoid-oriented screening, quantify total flavonoid content (TFC), and assess antioxidant capacity of an ethanolic M. oleifera leaf extract using thin-layer chromatography (TLC) and UV–Vis spectrophotometry. Dried leaf powder was extracted by maceration, and the extract yield was determined gravimetrically. TLC profiling was conducted on silica gel plates using an appropriate solvent system, followed by UV observation and derivatisation to visualise flavonoid-like bands; TLC–DPPH spraying was applied for rapid localisation of antioxidant-active zones. TFC was quantified using the aluminium chloride colorimetric method and expressed as quercetin equivalents, while antioxidant activity was measured by the DPPH radical scavenging assay and expressed as IC₅₀. The extract exhibited measurable flavonoid-related chromatographic responses and produced antioxidant-active bands on TLC after DPPH treatment. Quantitatively, the extract demonstrated appreciable total flavonoid content and showed strong DPPH scavenging activity, indicating that M. oleifera leaves may serve as a feasible botanical raw material for standardised antioxidant preparations. Further work incorporating replicate-based precision metrics and confirmatory compound identification is warranted to strengthen analytical robustness and compound attribution
Acute Toxicity and Antioxidant Activity of Ethanol Extracts of Teak Leaves (Tectona grandis L.)
No full textToxicity is the ability of a substance to cause damage that affects organisms, so toxicity tests can be used to determine the dosage for human safety. Natural antioxidants can protect the body against damage caused by reactive oxygen compounds, inhibit disease, and inhibit lipid peroxidation in food. Teak leaves (Tectona grandis L.) are thought to have antioxidant potential because they contain flavonoids. This study was conducted to determine the toxicity of teak leaf (Tectona grandis L.) ethanol extract using the Brine Shrimp Lethality Test (BSLT) method and to determine the antioxidant activity of teak leaf (Tectona grandis L.) ethanol extract using the Ferric Reducing Antioxidant Power (FRAP) method. The extract was obtained by maceration using 96% ethanol solvent for 3×24 hours and concentrated at 40°C. The results of The BSLT assay showed a dose-dependent mortality pattern, and probit analysis yielded an LC₅₀ value of 1049.78 µg/mL (95% CI: 11.54–95,483.20 µg/mL), indicating low lethality under in-vitro screening conditions. In the FRAP assay, the extract exhibited ferric-reducing capacity, with increasing absorbance across concentrations of 10–300 µg/mL (mean ± SD: 0.2923–0.4727). The conclusion of this study is The ethanol extract of teak leaves showed low lethality in the BSLT assay and exhibited ferric-reducing capacity in the FRAP assay under in-vitro conditions
Comparison of NBC and KNN in Classifying Stunting in Children in Rural Areas
No full textStunting is one of the chronic nutritional problems that remains a serious concern in Indonesia. Children who experience stunting not only experience physical growth retardation, but also cognitive development disorders that have the potential to reduce intelligence, academic achievement, and productivity in adulthood. The problem in this study is the high prevalence of stunting in children in rural areas. The purpose of this study is to analyse the performance of the Naïve Bayes Classifier (NBC) and K-Nearest Neighbour (KNN) and compare the performance of the two methods to determine the most optimal method for classifying stunting status in children in accordance with the Research Master Plan with a focus on engineering and technology for improving ICT content and the research topic of big data technology development. The research methods used included data collection through observation and interviews. Data processing and analysis were carried out by comparing the NBC and KNN methods in classifying child stunting. The results of this study indicate that the NBC method has higher accuracy, namely 95.24% and an F1-score of 97%, compared to the KNN method, which has an accuracy of 76.19% and an F1-score of 86%. Therefore, the KNN method is more optimal for use in classifying stunting in children
Grouping of Areas Based on Flood Disaster Level Using K-Means Clustering Algorithm
No full textThe Province of Gorontalo is highly vulnerable to flood disasters due to its geographical conditions, high rainfall, and uncontrolled land-use changes. This study aims to apply the K-Means Clustering algorithm to classify regions based on flood impact levels to support disaster mitigation and decision-making processes by the National Search and Rescue Agency (BNPP) Gorontalo. The dataset comprises 405 disaster incident records obtained from related institutions, including the number of affected, injured, deceased, and missing individuals. The analysis process involves data collection, preprocessing, distance calculation using the Euclidean Distance method, and the formation of two clusters based on impact levels. The iteration process stopped at the second iteration, indicating that a stable (convergent) condition had been achieved. The results revealed that Cluster 1 (C1) includes areas significantly affected by floods such as Imana, Iloheluma, and Tudi villages, while Cluster 2 (C2) represents unaffected areas like Wapalo, Ilomata, Motihelumo, and others. The implementation of the K-Means algorithm proved effective in identifying disaster-prone regions objectively and data-driven, thus supporting more efficient disaster response planning
THE DUAL ROLE OF SOCIAL MEDIA IN SHAPING ADOLESCENT DIETARY KNOWLEDGE AND ATTITUDES: EVIDENCE FROM A SEMI-RURAL DISTRICT IN INDONESIA
No full textSocial media platforms have become dominant sources of food-related information among adolescents, shaping dietary knowledge, attitudes, and consumption behavior. However, evidence from semi-rural settings in Indonesia remains limited. This study aimed to examine the influence of social media exposure on adolescent dietary knowledge and attitudes in Pasarwajo District, a semi-rural area of Southeast Sulawesi, and to explore its implications for health promotion. A mixed-method cross-sectional design was employed involving 100 adolescents aged 15–18 years who were active social media users. Quantitative data were collected using structured questionnaires and analyzed using descriptive statistics and Fisher’s exact test, while qualitative data from in-depth interviews with 15 adolescents were analyzed thematically. The results showed that daily social media use was significantly associated with higher nutritional knowledge (p = 0.021) and more positive attitudes toward healthy eating (p = 0.039). Female adolescents demonstrated more favorable attitudes than males (p = 0.038). Qualitative findings revealed a dual influence of social media, combining exposure to health-promoting content with frequent fast-food promotions, while family remained an important non-digital influence. This study offers contextual novelty by demonstrating that in a semi-rural Indonesian setting, social media may function not only as a risk factor but also as a complementary channel for strengthening adolescent nutritional awareness when supported by family and school environments. These findings highlight the importance of integrating digital and community-based strategies in adolescent health promotion
A CENTURY OF INFLUENZA IN TAIWAN: EPIDEMIOLOGICAL PATTERNS AND THE EVOLUTION OF GENOMIC SURVEILLANCE
No full textInfluenza remains a major global public health concern, and Taiwan has experienced repeated pandemic waves, seasonal epidemics, and zoonotic threats over the past century. This review aims to summarize the historical development of influenza in Taiwan and its implications for surveillance and preparedness. A systematic literature review was conducted using scientific publications, government reports, historical archives, and genomic surveillance data accessed through indexed academic platforms. All sources were synthesized to describe pandemic history, seasonal patterns, avian influenza risks, and advancements in laboratory-based monitoring. The findings show that Taiwan was significantly affected by major pandemics, including the 1918 H1N1, 1957 H2N2, 1968 H3N2, and 2009 H1N1 outbreaks, each contributing to improvements in health system readiness. Seasonal influenza in Taiwan displays a dual-peak pattern driven by local transmission and international virus introductions, with shifting dominance among H1N1, H3N2, and influenza B. Zoonotic threats from H5N1 and H7N9 continue to demand strict poultry surveillance and One Health coordination. Since 2000, Taiwan’s nationwide laboratory network has strengthened rapid detection, genome sequencing, mutation analysis, and global migration modeling, supporting more effective responses to emerging strains. In conclusion, Taiwan’s robust surveillance capacity and genomic monitoring have enhanced preparedness for influenza threats. Nevertheless, rapid viral evolution, global mobility, and persistent zoonotic risks highlight the need for continuous genomic surveillance, improved international collaboration, and optimized vaccine strategies
ANALISIS KETERKAITAN SEKTOR EKONOMI DALAM PENENTUAN KONSUMSI DAERAH PROVINSI GORONTALO
No full textPenelitian ini bertujuan untuk menganalisis keterkaitan antar sektor ekonomi dalam menentukan pola konsumsi daerah Provinsi Gorontalo selama periode 2018–2023. Transformasi ekonomi yang terjadi menunjukkan pergeseran struktur dari sektor primer menuju sektor jasa dan perdagangan. Metode yang digunakan adalah analisis proporsi dan pertumbuhan sektoral berdasarkan model keterkaitan Leontief, dengan data PDRB sektoral dari Badan Pusat Statistik. Hasil penelitian menunjukkan bahwa sektor pertanian, kehutanan, dan perikanan tetap menjadi kontributor terbesar terhadap PDRB, namun mengalami penurunan dari 37,50% menjadi 36,02%. Sebaliknya, sektor perdagangan besar dan eceran meningkat dari 11,29% menjadi 12,41%, diikuti oleh pertumbuhan signifikan pada sektor jasa. Pergeseran ini menandakan adanya transformasi menuju ekonomi berbasis konsumsi, meskipun keterkaitan antar sektor masih lemah. Fenomena tersebut menyebabkan konsumsi daerah tumbuh tanpa diimbangi peningkatan produktivitas lokal, sehingga efek pemerataan kesejahteraan belum maksimal. Penelitian ini menyimpulkan bahwa pertumbuhan ekonomi Gorontalo bersifat separatif, bukan integratif. Diperlukan kebijakan yang memperkuat konektivitas antar sektor, khususnya antara pertanian, industri pengolahan, dan perdagangan, agar pertumbuhan ekonomi daerah lebih inklusif dan berkelanjutan