UIN (Universitas Islam Negeri) Walisongo Journals
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Development of Internal Supervision and Control System in The Management of Sharia Pawnshops Based on Sharia Economic Law
Sharia pawnshops have a strategic role in providing financial services in accordance with Islamic sharia principles, especially in encouraging people's financial inclusion. However, practice in the field still faces a number of challenges, especially in terms of internal supervision and control. Problems such as inconsistencies in the implementation of contracts, low operational transparency, and the weak role of the Sharia Supervisory Board (DPS) are obstacles in creating accountable and effective governance. This research aims to develop a supervisory model based on sharia economic law that is adaptive and applicative. Using a qualitative case study approach, data was obtained through in-depth interview techniques, documentation, and direct observation at Sharia Pawnshop units in the Central Java region. The results of the study show that the integration of the principle of hisbah, the use of information technology, and the strengthening of the active role of DPS have the potential to create a supervisory system that is more responsive, measurable, and in line with sharia values. Implementing recommendations were also submitted to support sustainable institutional transformation.
The Importance of Customary Law in Guiding Indigenous Communities in General Elections an Islamic Legal Perspective
This article examines the importance of customary law in guiding indigenous communities during general elections by integrating an Islamic legal perspective. Customary law functions as a normative framework that regulates communal behavior, strengthens social cohesion, and preserves traditional decision-making mechanisms within indigenous societies. In the context of elections, these customary norms play a crucial role in shaping political participation, maintaining harmony, and preventing conflict. From the viewpoint of Islamic law, the principles of ‘urf (custom), maslahah (public interest), and justice provide strong legitimating grounds for recognizing and accommodating indigenous customs within electoral governance, as long as they do not contradict fundamental Islamic values. By analyzing the intersection between customary law and Islamic jurisprudence, this study highlights how both normative systems can work synergistically to promote ethical electoral conduct, empower indigenous communities, and reinforce democratic integrity. The findings suggest that integrating Islamic legal principles with customary practices offers a culturally rooted and religiously justified foundation for enhancing electoral participation and safeguarding communal rights in pluralistic societies.
From Values to Visits: Exploring the Economic Development Potential of Halal Tourism Through Islamic Destination Attributes
There is a growing acknowledgment of Halal tourism as a strategic sector for economic development in Muslim-majority countries. This research investigates how Islamic destination features, including worship amenities, halal compliance, and overall Islamic values, influence travelers’ choices to halal destinations in Indonesia, moderated by tourism image. Using a quantitative method, this study analyzed data with structural equation modeling in SmartPLS 3, based on responses from 1,000 tourists visiting Indonesia’s ten leading halal destinations. The results indicate that all three Islamic attributes significantly influence the positions of a tourist attraction, while only worship facilities directly affect visiting decisions. Destination image itself plays a mediating role in shaping tourist behavior. These results underline the importance of integrating Islamic values into tourism development strategies to enhance destination competitiveness. The study provides practical insights for government officials, including the standardization of halal certification in tourism facilities, the provision of adequate worship infrastructures at leading destinations, and the integration of halal tourism into national and digital marketing strategies. These analytical procedures enhance Indonesia’s role as a worldwide frontrunner in halal tourism. The results further emphasize halal tourism’s capacity to drive continuous local economic growth grounded in cultural and religious values
Risk analysis of air quality for parameters NO2, SO2, NH3, and Ox from the area around fertilizer industries in Indonesia
Industrial zones with intensive human activities often experience air-quality degradation, particularly in areas surrounding fertilizer production facilities. This study analyzes the concentrations of nitrogen dioxide (NO₂), sulfur dioxide (SO₂), ammonia (NH₃), and oxidants (Ox) in the ambient air around fertilizer industries in Indonesia and evaluates their potential non-carcinogenic health risks. Air sampling was conducted using an InScienPro US-1012 impinger equipped with selective absorbent solutions. Pollutant concentrations were quantified using UV-Vis spectrophotometry based on the Griess–Saltzman method for NO₂, the pararosaniline method for SO₂, the indophenol method for NH₃, and the neutral buffer potassium iodide method for Ox. Concentrations were compared with national ambient air-quality standards. To strengthen the assessment, a quantitative health-risk evaluation was incorporated using the Hazard Quotient (HQ) and Hazard Index (HI), allowing for the interpretation of long-term exposure impacts. Results show that most pollutant concentrations were below regulatory limits; however, SO₂ levels at one sampling point and NH₃ levels near the production zone were elevated. The HQ–HI analysis revealed that SO₂ at the office-area sampling point (HQ = 0.794) and NH₃ inside the processing plant (HQ = 2.238) were the dominant contributors to cumulative exposure, with HI values exceeding 1 at both locations. These findings indicate potential non-carcinogenic risks for individuals chronically exposed in areas closest to emission sources. Overall, this study highlights the importance of continuous monitoring and risk-based evaluation to identify localised hotspots, inform mitigation strategies, and enhance emission control practices in fertiliser-industrial environments
Kombucha origin clustering based on 16S metabarcoding datasets analysis
Consumers 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
Effect of Sorghum bicolor L. and Moringa oleifera Leaf Flour Substitution on the Nutritional and Organoleptic Quality of Snack Bars for Type 2 Diabetes Mellitus Patients
According to the International Diabetes Federation (IDF), the prevalence of type 2 diabetes mellitus (DM) had increased from 10.5% in 2021 to 11.1% in 2025. The need for the development of functional foods can support dietary management in diabetes sufferers. The purpose of this study was to analyze the effect of substituting sorghum flour and moringa leaf flour on nutritional quality (moisture, ash, protein, fat, carbohydrate content, and energy), organoleptic quality (color, aroma, taste, and texture), and functional quality (fibre and antioxidant activity) of snack bars for type 2 diabetics. This study used a Completely Randomized Design (CRD) using three levels of treatment with the following proportions of sorghum flour to moringa leaf flour: P1 (85:15), P2 (90:10), and P3 (95:5). A total of 25 semi-trained panelists were selected using a purposive sampling technique. Data’s were analyzed using One-Way ANOVA for nutritional parameters and functional quality, Kruskal Wallis test for organoleptic data with a 95% confidence level. The results showed that the substitution of sorghum flour and moringa leaf flour had a significant effect on protein, fibre, and snack bar taste (p<0.05). However, it had no significant effect on moisture, ash, fat, carbohydrate, color, aroma, texture, or antioxidant activity of snack bars. It was also found that the best treatment level was P3 (95:5). The snack bar formulation based on sorghum and moringa leaves has the potential to be developed as a low glycemic index functional food that supports diet management in type 2 DM patients
Anemia Knowledge, Perception, and Teacher Support Related to Iron Supplement Adherence among Female Students at SMA Muhammadiyah 15 Jakarta
Anemia 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
This 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
Best Practices for Teaching Speaking Skills Based on Management Aspects and ACTFL Proficiency Levels at STIBA Arroyah
This research aims to explore the gap in Arabic speaking skills among students at STIBA Arroyah, which is attributed to the limited use of technology. Evidence indicates that many students fail to reach expected levels of speaking proficiency, and classroom observations reveal that instructors still rely on traditional methods, despite the existence of ACTFL guidelines that are not consistently implemented. Students have expressed a need for more speaking practice within their learning experiences. This study employs a qualitative descriptive method, utilizing data collection through classroom observations, interviews with students and instructors, and document analysis, to identify effective strategies for enhancing speaking skills in line with ACTFL proficiency standards, with the goal of providing deeper insights into improving the quality of Arabic language learning. The results show that the observed educational management correlates with high levels of student engagement and strong communication skills. The observed educational management correlates with a high level of student engagement and strong communication abilities. They highlight the need for innovation in Arabic teaching strategies to align with higher education demands and the necessity to adapt methods to international standards for global competitiveness. Further research is needed to explore best practices and the application of technology in Arabic language learning
Isolation and Identification of Endophytic Fungi from leaves and petioles of Salam Plants (Syzygium polyanthum Wight) to Look for Antibiotic-Producing Fungi
Synthetic antibiotics have been used to stimulate livestock growth. Because of the negative impact of using these material, it is necessary to find its substitute. One of the producer of natural antibiotics is microorganisms such as fungus. Endophytic fungi are one kinds of fungi that live in plant tissues and able to form colonies without endangering the host and can produce secondary metabolites such as antibiotic. This study is preliminary research that the ending of the purpuse is to find the endophytic fungi which producing antibiotic. This first aims of the study is to psolation and identification of the endophytic fungi found on leaves and petioles of Salam (Syzygium polyanthum Wight). The materials used are leaves and petioles of Salam which are obtained from traditional markets. The method was the isolation by direct planting used spread methods, then continue to identification. The results was the isolation of endophytic fungi from the Salam plant parts obtained as follows from leaves got five isolates and from petiole are seven isolates. Identification of all isolates found as follows from leaves are Mycelia sterilia, Acremonium sp and Fusarium sp and from petioles were Mycelia sterilia , Fusarium sp, Aspergillus sp and unidentified fungi.
Keywords: endophytic fungi, antibiotics, petiols, leaves, Syzygium polyanthu