UIN WALISONGO JOURNALS
Not a member yet
5461 research outputs found
Sort by
Kombucha origin clustering based on 16S metabarcoding datasets analysis
Full text linkConsumers of fermented products increasingly demand detailed information on product ingredients, quality, health benefits, and origin. Herein, we have chosen kombucha as a model for a fermented product. This study aims to establish the origin information of kombucha using clustering analysis of 16S metabarcoding datasets. We have downloaded and analysed datasets of kombucha 16Smetabarcoding originating from 5 distinct places: Brazil, the United States, the United Kingdom, Turkey, and Thailand. We randomly selected datasets from the collection (n = 32) and analysed them on the SHAMAN server to develop an initial microbiome profile. We implemented hierarchical agglomerative Clustering and found that Ward's method and the Chao distance produced the best cluster tree, which consistently separates kombucha into five distinct clades, reflecting their origin. We have extended our examination to include more datasets (n=13) to build the final cluster tree (total n = 45). We have also assessed the uncertainty of the final Clustering by pvclust in R. The pvclust cluster tree is comparable in topology to the final cluster tree built using Ward's method and Chao distance. The pvclust cluster tree features stable clades that are highly supported by AU (Approximately Unbiased) values (p-value ≥ 95%). Each kombucha was also placed correctly and consistently according to its respective origin. We have successfully conducted analyses and demonstrated that a simple clustering method, combining Ward's method and the Chao distance, is the most effective for classifying kombucha by origin using a 16S metabarcoding dataset
Legendre Collocation approach for Integro-Differential equations
Full text linkThis study presents the application of the Legendre Collocation Method (LCM) for solving Integro-Differential Equations (IDEs), which model a range of scientific and engineering problems.IDEs, involving both differential and integral terms, often require numerical methods for their solutions due to the complexity of obtaining exact solutions. The proposed approach transforms IDEs into systems of linear algebraic equations using shifted Legendre polynomials. By collocating the resulting equations, approximate solutions are efficiently computed. The accuracy of the method is validated through several numerical examples, including Volterra and Fredholm types of IDEs, and the results are compared with known exact solutions. The effectiveness and robustness of LCM are demonstrated through high-order approximations. The theoretical uniqueness of the method is established using relevant theorems, including the Banach Contraction Principle. Overall, the LCM provides a reliable and efficient technique for solving a wide class of IDEs with high accuracy.
Endophytic fungi from Parijoto (Medinilla speciosa) leaves and their potential as biocontrol agents against Corn Pest Larvae
Full text linkParijoto (Medinilla speciosa) leaves are widely used for their antimicrobial properties. Endophytic fungi from these leaves show potential as entomopathogenic agents against Helicoverpa armigera larvae, a moth pest of cotton and corn.The research activities conducted in the laboratory include the isolation and characterization of endophytic fungi, as well as entomopathogenic testing against H. armigera larvae using a spraying technique with endophytic fungal extracts. In this study, 5 isolates were obtained from leaves and assessed their entomopathogenic properties. The isolate code is EP1, EP2, EP3, EP4, EP5. Bioassays were conducted to evaluate the effectiveness of these fungi in controlling H. armigera larvae. Among the tested fungi, EP5 demonstrated the highest entomopathogenic activity, significantly reducing the survival rate of the larvae. These findings indicate that EP5 holds substantial promise as a biocontrol agent for managing H. armigera populations with mortality percentage 30,78%, offering a sustainable and environmentally friendly alternative to chemical pesticides. The study underscores the potential of utilizing endophytic fungi from parijoto leaves in integrated pest management strategies
TRADISI BARZANJI DAN MANAKIB SEBAGAI BASIS SOLIDARITAS SOSIAL: STUDI ETNOGRAFI MIGRAN DEMAK DI KECAMATAN KURUN, KALIMANTAN TENGAH
Full text linkKomunitas perantau Demak di Kecamatan Kurun, Kabupaten Gunung Mas, Kalimantan Tengah, telah melestarikan tradisi pembacaan Barzanji dan Manakib Syekh Abdul Qodir Jaelani sebagai warisan leluhur yang berfungsi tidak hanya sebagai ritual keagamaan, tetapi juga sebagai sarana penguatan identitas dan solidaritas sosial. Penelitian ini bertujuan untuk menganalisis peran tradisi tersebut dalam menjaga kohesi sosial serta memahami kontribusi para tokoh masyarakat dalam melestarikannya. Metode penelitian yang digunakan adalah etnografi dengan pendekatan kualitatif melalui observasi, wawancara, dan dokumentasi. Hasil penelitian menunjukkan bahwa pembacaan Barzanji dan Manakib menjadi media kebersamaan, memperkuat persaudaraan, serta menanamkan nilai-nilai keikhlasan, kesabaran, dan penghormatan terhadap tokoh agama. Para tokoh masyarakat berperan penting sebagai penggagas, pendidik, dan penjaga kesinambungan tradisi dengan melibatkan generasi muda, khususnya dalam perayaan hari-hari besar Islam seperti Maulid Nabi dan Tahun Baru Islam. Penelitian ini menyimpulkan bahwa tradisi ini memiliki nilai multidimensional: religius, sosial, budaya, dan edukatif, yang menjadikannya sebagai instrumen sosial dalam memperkuat solidaritas di kalangan perantau. Implikasi penelitian ini menekankan pentingnya pelestarian tradisi keagamaan sebagai sarana integrasi sosial dan identitas budaya dalam masyarakat multikultural
SAFEnet and Civil Society Dynamics in Expanding Digital Public Space in Indonesia
Full text linkThe rapid advancement of digital technologies has fundamentally transformed the landscape of civil society advocacy, particularly in the defence of digital rights in Indonesia. This study examines the evolving role of SAFEnet (Southeast Asia Freedom of Expression Network), a prominent civil society organization committed to protecting digital freedoms. Employing a qualitative case study approach, the research explores SAFEnet’s strategic responses, structural challenges, and advocacy outcomes through comprehensive literature analysis and thematic interpretation. The findings reveal that SAFEnet has transcended its initial function as a policy watchdog, emerging as a facilitator of digital public discourse, a provider of legal assistance, and a cross-sectoral coalition builder advancing the rights to freedom of expression, data privacy, and digital justice. Its integrated advocacy model encompasses social media mobilization, digital literacy campaigns, policy engagement, and the innovative use of technology to amplify civic participation. Despite operating within a restrictive regulatory environment characterized by censorship and the criminalization of dissent, SAFEnet has demonstrated adaptive resilience and strategic innovation in expanding the digital public sphere and promoting democratic engagement. This study contributes to the discourse on digital civil society by critically mapping a localized advocacy model and by reinforcing the theoretical relevance of network society and public sphere frameworks in the context of Indonesia’s evolving digital democracy
Anemia Knowledge, Perception, and Teacher Support Related to Iron Supplement Adherence among Female Students at SMA Muhammadiyah 15 Jakarta
Full text linkAnemia remains a public health problem in Indonesia, with a prevalence of 23.7%. The government has implemented a prevention program by providing Iron–Folic Acid (IFA) supplements to adolescent girls and women of reproductive age, with coverage in DKI Jakarta reaching 63.5%. This study aimed to analyze the relationships among anemia knowledge, anemia perception, and teacher support with adherence to IFA consumption among adolescent girls. A cross-sectional design was employed, involving 55 students aged 16–18 years from SMA Muhammadiyah 15 Jakarta who were selected through purposive sampling. Data were collected using questionnaires that assessed knowledge, perceptions, teacher support, and adherence to IFA. Adherence was measured using the Morisky Medication Adherence Scale (MMAS-8). Chi-square analysis showed that anemia perception was significantly associated with IFA adherence (p = 0.003; OR = 9.394), whereas anemia knowledge (p = 0.272) and teacher support (p = 1.000) were not. These findings indicate that anemia perception plays a key role in determining adherence to IFA, whereas knowledge and teacher support do not. Programs that enhance adolescents’ perception of anemia risk and consequences are needed to improve adherence. School-based education should be more engaging and relevant, and although teacher support was not significant, schools still play an important role in providing a supportive environment for implementing the IFA consumption program
Qalam AI: A Study on the Potential of Automatic Ḥarakat Detection for Arabic Sentence Learning
No full textThis research aims to investigate the capabilities of Qalam AI – an automatic ḥarakat (diacritical mark) detection system – in supporting Arabic sentence learning through its ablility to analyze sentence components. This research was an exploratory study that employed a case study approach on the implementation of Qalam AI in the classroom. Data collection methods included: 1) analysis of student text samples, 2) expert evaluation by comparing Qalam AI’s analysis results with manual analysis by Arabic language experts, and 3) simulation of integration in the classroom. The analysis focused on three grammatical cases: 1) al-asmāʾ al-marfu̅ʿah (nominative), 2) al-asmāʾ al-manṣūbah (accusative), and 3) al-asmāʾ al-majrūrah (genitive). The research analysis used qualitative methods to examine Qalam AI's potential applications in Arabic language pedagogy
MOLECULAR DOCKING AND DYNAMICS OF BIOACTIVE COMPOUNDS DERIVED FROM Sauropus androgynus AS CYCLOOXYGENASE-2 INHIBITORS
Full text linkInflammation is a biological response to injury that can become chronic and lead to various immunological disorders in humans. Bioactive compounds in Sauropus androgynus exhibit a broad spectrum of biological activity, including anti-inflammatory effects. This study employed a computational approach involving Lipinski’s Rule of Five, protein network analysis, molecular docking, ADMET prediction, molecular dynamics simulations, and Density Functional Theory (DFT) calculations for electronic structure elucidation. Among the tested compounds, corchoionoside C and afzelin demonstrated the strongest inhibitory potential against the COX-2 enzyme, with binding energies of −9.57 and −9.14 kcal/mol, respectively. Molecular dynamics simulations showed that the S. androgynus bioactive compound–COX-2 complexes exhibited minimal fluctuation and remained highly stable throughout the simulation, supporting their potential biological activity. DFT HOMO–LUMO analysis further indicated the capability of corchoionoside C and afzelin to interact with biological targets such as COX-2 through polar or electrostatic interactions. These findings are expected to provide a scientific foundation for the development of novel anti-inflammatory agents with promising pharmacological profiles and reduced adverse effects
Think-Pair-Square: A Collaborative Approach to Enhancing Critical Thinking Skills in Chemical Equilibrium
No full textLow levels of critical thinking skills among students on the topic of chemical equilibrium pose a significant challenge in chemistry education. This topic demands strong analytical, evaluative, and problem-solving abilities. This study aimed to investigate the effectiveness of the Think-Pair-Square (TPSq) learning model in enhancing students’ critical thinking skills. A pre-experimental one-group pretest–posttest design was employed, involving 59 students from two classes selected through cluster random sampling. Data were collected using a critical thinking skills test administered before and after the intervention, and analyzed using N-Gain and effect size. The results indicated a significant improvement in students’ critical thinking skills, with an average N-Gain of 0.48 (moderate category) and an effect size of 2.75 (very high category). These findings suggest that TPSq is an effective collaborative learning strategy for developing critical thinking skills in chemical equilibrium and can serve as an alternative instructional method that promotes student interaction and discussion
Board expertise and Islamic bank performance in a two-tier system
Full text linkPurpose - The purpose of this study is to analyze the influence of the expertise of the directors, board of commissioners, and sharia supervisory board on the performance of Islamic banking.
Method - This study uses three areas of expertise, namely accounting/finance, business, and sharia expertise. The sample of this study is Islamic banking from 2014 to 2024, which meets the research criteria.
Result - This study found that the expertise of the directors, board of commissioners, and sharia supervisory board improves the performance of Islamic banking.
Implication - This study provides implications for companies and regulators to encourage and develop regulations that require the composition of the directors, board of commissioners, and sharia supervisory board with accounting/finance, business, and sharia expertise.
Originality - As far as the author knows, research on board expertise in Islamic banking in countries that adopt a two-tier system has never been conducted