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Journal of Current Studies in SDGs
Published by Sekolah Tinggi Agama Islam Sabilul Muttaqin mojokerto
ISSN : -     EISSN : 30897564     DOI : https://doi.org/10.63230/jocsis.1.4
Core Subject : Economy, Science, Education, Social,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences Other
The Journal of Current Studies in SDGs is a scholarly journal dedicated to publishing the latest research, reviews, and analyses related to the Sustainable Development Goals (SDGs). This journal aims to serve as an academic platform for researchers, scholars, and practitioners contributing to the achievement of sustainable development objectives across various sectors. We encourage publications that are solution-oriented, evidence-based, and have a tangible impact on policies and the implementation of SDGs at local, national, and global levels.
Arjuna Subject : Ilmu Sosial - Ilmu Sosial (Lain-Lain)
Articles 116 Documents
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Mindfulness for Optimizing Mental Health in Sports: A Systematic Literature Review and Implications for SDG 3 Dhevy Puswiartika; Humaedi Humaedi; Addriana Bulu Baan; Ajriana Safana
Journal of Current Studies in SDGs Vol. 2 No. 1 (2026): March
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.2.1.149

Abstract

Objective: To synthesize and critically appraise recent empirical evidence on the role of mindfulness in optimizing mental health in sports, particularly among athletes and coaches. Method: Employed a systematic literature review using the PRISMA guidelines. Articles were searched through ScienceDirect and Google Scholar using the keywords mindfulness, sport, and mental health. The inclusion criteria covered English-language, open-access journal articles published between 2020 and 2024 that involved athletes or coaches and discussed dispositional mindfulness, mindfulness practice, or mindfulness-based interventions. After screening 65 full-text articles, 14 studies met the eligibility criteria and were analyzed narratively. Results: The findings indicate that mindfulness contributes positively to sports performance and mental health outcomes. Mindfulness-based interventions were reported to improve resilience, self-confidence, emotion regulation, subjective performance satisfaction, mindful awareness, well-being, and sleep quality. In addition, mindfulness helped reduce stress, anxiety, depression, tension, and the likelihood of choking during sports performance. Novelty: The review highlights mindfulness not only as a psychological training strategy to enhance sports performance but also as a promising approach to optimizing mental health in sports. The study also identifies the need for more rigorous randomized controlled trials with larger sample sizes and across diverse sports contexts. Furthermore, the findings offer important implications for SDG 3 (Good Health and Well-Being) by supporting the integration of evidence-based mindfulness approaches to promote psychological well-being, resilience, and mental health among athletes and coaches
Regular vs Boarding Schools: Uncovering Indonesian Adolescents’ Psychological Well-Being Needs and Implications for SDG 3 Muslikah Muslikah; Abdul Kholiq; Niswatul Baroroh; Oktavia Puspita Dewi
Journal of Current Studies in SDGs Vol. 2 No. 1 (2026): March
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.2.1.150

Abstract

Objective: To analyze and compare the psychological well-being of adolescents in regular and boarding schools in Indonesia. The findings are expected to provide evidence-based guidance for school counselors to identify adolescents' most urgent psychological needs and to optimize counseling services tailored to the characteristics of each school setting. Method: A quantitative study employing a cross-sectional group-comparison survey design was conducted. The participants comprised 798 adolescents, including 399 students from regular schools and 399 from boarding schools at the junior and senior high school levels. Data were collected using the Ryff Psychological Well-Being Scale (PWBS). The data were analyzed through normality testing and an independent-samples t-test to examine differences in psychological well-being between the two groups. Results: The findings revealed no significant difference in overall psychological well-being between adolescents in regular schools and those in boarding schools (p > .05). Although students in regular schools had a slightly higher mean score, the difference was not statistically significant. Descriptive analysis showed that self-acceptance was the weakest dimension among students in regular schools, whereas autonomy was the weakest dimension among students in boarding schools. Positive relationships with others represented the strongest dimension in both school types. Novelty: Extending previous research by directly comparing adolescents' psychological well-being across regular and boarding school contexts while identifying the most urgent psychological dimensions requiring intervention in each setting. The findings have practical implications for school counselors designing targeted interventions that focus on self-acceptance in regular schools and autonomy in boarding schools. These insights also offer important implications for SDG 3 (Good Health and Well-Being) by informing school-based mental health strategies that support adolescents' psychological well-being and healthy development.
The Effect of Biological Fertilizers on Growth and Yields of Soybean (Glycine max L. Merr.) under Drought Stress toward SDG 2 Arief Septiawan; Rusmana Rusmana; Sri Ritawati; Eltis Panca Ningsih
Journal of Current Studies in SDGs Vol. 2 No. 1 (2026): March
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.2.1.151

Abstract

Objective: Soybean (Glycine max L. Merr.) is an important source of vegetable protein and a major food commodity. However, expanding soybean cultivation into dryland areas is constrained by drought stress, which adversely affects plant growth and productivity. This study aimed to evaluate the effects of biological fertilizers and drought stress on soybean growth and yield. Method: The experiment was conducted from October 2019 to January 2020 in a greenhouse using a factorial Randomized Block Design with three replications. The first factor was biological fertilizer application, consisting of no fertilizer, Plant Growth-Promoting Rhizobacteria (PGPR) at 10 g L⁻¹, and Arbuscular Mycorrhizal Fungi (AMF) at 10 g polybag⁻¹. The second factor was drought stress based on soil water availability (SWA): 100%–100%, 100%–50%, 50%–100%, and 50%–50% during vegetative and generative phases. Results: Biological fertilizers did not significantly affect soybean growth or yield. In contrast, drought stress significantly reduced plant height, leaf number, leaf area, root length, plant dry weight, pod number, seed number, and seed yield, with the greatest reductions occurring under 50% SWA during both growth phases. No significant interaction was observed between biological fertilizers and drought stress treatments. Novelty: Identify water availability as the primary determinant of soybean productivity under drought conditions, supporting sustainable food production and SDG 2 (Zero Hunger).
YOLO-Based Real-Time Artificial Intelligence Traffic Counting for Urban Transportation Monitoring in Surakarta: Implications for SDG 11 Bambang Istiyanto; Yan El Rizal Unzilatirrizqi D; Alfan Baharuddin; Pipit Rusmandani
Journal of Current Studies in SDGs Vol. 2 No. 1 (2026): March
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.2.1.152

Abstract

Objective: To develop and evaluate an artificial intelligence (AI)-based traffic counting system using the YOLO (You Only Look Once) deep learning algorithm to provide accurate and real-time traffic volume data for urban transportation management. Method: Employing a deep learning approach by implementing the YOLO algorithm for vehicle detection and traffic counting. Traffic video data from road objects in Surakarta City were processed to identify and classify various vehicle types. The AI-generated traffic counting results were then compared with manual traffic survey data to assess the system’s accuracy and effectiveness. Results: The findings indicate that the proposed AI-based traffic counting system can accurately detect and classify multiple vehicle categories, including cars, motorcycles, trucks, buses, bicycles, and Bajaj. The traffic-counting data produced by the system were highly readable and reliable. Comparison with manual traffic surveys showed that the AI-generated results were very similar while requiring significantly less time and human resources. The system achieved nearly 100% consistency with the available secondary traffic volume data, demonstrating its effectiveness in monitoring urban traffic conditions. Novelty: Application of the YOLO deep learning algorithm for automated traffic counting in the urban road environment of Surakarta City. The proposed system provides a practical and efficient alternative to conventional manual traffic surveys by delivering accurate, real-time traffic data with minimal human intervention, thereby supporting more effective urban transportation planning and management. These contributions are also relevant to SDG 11 (Sustainable Cities and Communities) by enabling data-driven traffic monitoring and facilitating smarter, more sustainable urban mobility management.
Evaluation of the Performance of Floating Fiber Embankment Models for Tidal Flood Mitigation in Coastal Areas: Contributing to SDG 11 Sunaryo Sunaryo; Imam Wahyudi; Moh. Faiqun Ni'am
Journal of Current Studies in SDGs Vol. 2 No. 1 (2026): March
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.2.1.153

Abstract

Objective: To evaluate the development of floating fiber embankment technology as an innovative solution for mitigating tidal flooding in coastal areas of Indonesia, particularly along the northern coast of the Java Sea. The proposed system is designed to automatically adapt to tidal level fluctuations, addressing challenges related to land subsidence and sea level rise. Method: The study employed a combined simulation and laboratory experimental approach to analyze the performance of the floating fiber embankment. Numerical simulations were conducted to evaluate the structural behavior under hydrostatic pressure, while laboratory testing was performed using a scaled physical model to validate the simulation results. Results: The findings indicate that the floating fiber embankment demonstrates stable structural performance under tidal loading conditions. The maximum recorded deformation was 0.0043 meters, with a maximum stress of 8.231 × 10⁶ Pa and a strain of 0.00045. These results confirm that the structure can maintain elasticity and structural integrity under hydrostatic pressure. Novelty: The application of adaptive floating fiber embankment technology that can automatically adjust to tidal fluctuations as a sustainable alternative to conventional static embankments. This system provides an effective and efficient solution to reduce the impact of tidal flooding in coastal regions while advancing SDG 11 (Sustainable Cities and Communities) by strengthening coastal resilience and supporting sustainable flood mitigation efforts.
Performance Monitoring Model for Time and Cost Efficiency in Building Construction Projects: An Empirical Study Supporting SDG 9 Bukhori Bukhori; Antonius Antonius; Kartono Wibowo
Journal of Current Studies in SDGs Vol. 2 No. 1 (2026): March
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.2.1.154

Abstract

Objective: To develop and evaluate an integrated performance monitoring model based on Earned Value Management (EVM) and Building Information Modeling (BIM) to improve time, cost, and quality efficiency in building construction projects. Method: A quantitative case study approach was applied using data from 204 building construction projects in Indonesia. The analysis employed Earned Value Analysis (EVA), correlation analysis, and multiple linear regression, with support from SPSS and BIM-based simulation tools. Results: The findings show that 50% of projects achieved a Cost Performance Index (CPI) between 1.0 and 1.1, while 60% recorded a Schedule Performance Index (SPI) between 0.9 and 1.1. In addition, 75% of projects met quality standards as measured by the Quality Performance Index (QPI). The integrated model significantly improves the early detection of project deviations and enhances the efficiency of corrective actions. Novelty: Integration of Earned Value Management (EVM) and Building Information Modeling (BIM) into a unified performance monitoring framework that enables real-time, data-driven decision-making for cost, time, and quality control in construction projects under external uncertainty conditions. This integrated framework also provides practical contributions to SDG 9 (Industry, Innovation and Infrastructure) by supporting innovative, resilient, and efficient infrastructure project management through digital performance monitoring.
Framework Model for Sustainability Reliability Assessment of Clinical Laboratory Equipment in Indonesian Vertical Hospitals: Contributing to SDG 3 Amal Witonohadi; Parwadi Moengin; Emelia Sari; Rianti Dewi Sulamet-Ariobimo
Journal of Current Studies in SDGs Vol. 2 No. 1 (2026): March
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.2.1.155

Abstract

Objective: This study aims to develop a holistic framework for assessing the reliability of clinical laboratory equipment in vertical hospitals in Indonesia. Clinical laboratories play a strategic role in supporting National Health Insurance and in achieving the Sustainable Development Goals (SDGs) across economic, social, and environmental dimensions. Reliable maintenance systems are crucial for ensuring equipment reliability, maintainability, availability, and safety. Method: A comprehensive literature review of international journals was conducted to identify existing models and methodologies for reliability assessment. The proposed framework integrates reliability engineering, sustainability principles, and VUCA (volatility, uncertainty, complexity, ambiguity) concepts. The model consists of sub-assessment sections covering pre-analytical, analytical, and post-analytical stages, as well as equipment reliability, logistics and warehousing, and continuous equipment monitoring. Results: The framework provides a structured approach for identifying factors that influence the reliability of laboratory equipment, enabling effective assessment and problem-solving in clinical laboratories. It facilitates continuous evaluation, supports maintenance planning, and aligns with safety and quality standards. Novelty: Integrating reliability, sustainability, and VUCA concepts into a single, holistic framework for clinical laboratory equipment in Indonesian vertical hospitals. The proposed framework provides practical guidance for hospital policymakers and managers to ensure accurate testing results, optimize equipment performance, enhance patient safety, and support sustainable healthcare operations. By strengthening the reliability of diagnostic services and improving the quality and accessibility of healthcare delivery, this framework contributes to achieving SDG 3 (Good Health and Well-Being).
Feasibility of a Project-Based Electronic Module on Environmental Change to Promote Environmental Awareness and Support SDG 13 Deden Ibnu Aqil Aqil; Hafid Abbas; I Made Astra; Sisean Baga
Journal of Current Studies in SDGs Vol. 2 No. 1 (2026): March
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.2.1.156

Abstract

Objective: To evaluate the feasibility of the Project-Based Learning (PjBL) Environmental Change Electronic Module, known as E-Ling, as an interactive digital teaching material designed to support environmental change learning and improve students’ environmental awareness improve students’ environmental awareness and support SDG 13 (Climate Action). Method: Using a development approach with the ADDIE model, limited to the development stage. The feasibility of the E-Ling module was assessed through expert validation involving 12 experts in material, language, learning, and media. The instrument used was a validation questionnaire, and the data were analyzed using percentage-based feasibility criteria. Results: The expert validation results showed that the developed PjBL-based E-Ling module obtained positive feasibility scores, namely 92.33% from material experts, 80% from language experts, 84.71% from learning experts, and 86.33% from media experts. These results indicate that the module is categorized as good and requires no major revision. Novelty: The development of a PjBL-based electronic module that integrates environmental change materials, learning videos, interactive access through website or application platforms, and project activities to encourage students to learn independently and develop environmental awareness.
Analysis of Microplastics in the Digestive Tracts of Mackerel Tuna (Euthynnus affinis) and Skipjack Tuna (Katsuwonus pelamis) for SDG 14 Masriani Masriani; Abd. Hakim Laenggeng; Fatmah Dhafir; Aan Febriawan
Journal of Current Studies in SDGs Vol. 2 No. 1 (2026): March
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.2.1.157

Abstract

Objective: Marine ecosystems are increasingly threatened by microplastic pollution, which can accumulate in commercially important fish species and potentially affect human health. This study aimed to identify the characteristics and abundance of microplastics in the digestive tracts of mackerel tuna (Euthynnus affinis) and skipjack tuna (Katsuwonus pelamis) from Boneoge waters, Donggala Regency, and examine the relationship between digestive tract size and microplastic abundance. Method: A quantitative descriptive approach was employed using 30 specimens of each fish species collected from local fishermen. Digestive tract samples were digested using 10% KOH, incubated at 75°C, filtered, and observed under a binocular microscope. Microplastic abundance was expressed as particles per gram of digestive tract weight. Simple linear regression analysis using SPSS 25 was performed to evaluate the relationship between digestive tract size and microplastic abundance. Results: Three microplastic types were identified: film, fragment, and fiber, with film being dominant in both species. Total microplastic abundance reached 3.940 particles/g in mackerel tuna and 3.071 particles/g in skipjack tuna. Regression analysis showed a weak positive relationship between digestive tract size and microplastic abundance (R² = 0.137 and 0.140), suggesting that other environmental and biological factors play a greater role. Novelty: Providing the first baseline data on microplastic contamination in mackerel tuna and skipjack tuna from Boneoge waters, Central Sulawesi, and contributes to SDG 14 (Life Below Water) by strengthening evidence-based efforts to address marine microplastic pollution.
Development of Green Banking Disclosure Index in Southeast Asia Region: Contributing to SDG 13 Nur Kabib; Djoko Suhardjanto; Wulan Suci Rachmadani; Rizky Windar Amelia
Journal of Current Studies in SDGs Vol. 2 No. 1 (2026): March
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.2.1.158

Abstract

Objective: To compile the Unweighted Green Banking Disclosure Index (UGBDI) for banks in Southeast Asia. The index is developed to provide a more suitable disclosure measurement for banks in the region, considering that existing green banking assessments are often based on standards from developed countries. Method: Using a literature review approach based on green banking regulations in Southeast Asian countries and previous studies. The index preparation was conducted through several stages, including identifying definitions and keywords, discerning and classifying similar items, synchronizing them with existing standards, and formulating new disclosure items. Results: Resulting in 32 green banking disclosure items for banks in Southeast Asia. These items were developed from regulations and prior studies, then synchronized with sustainable banking assessment standards. The resulting index can be used by banks, researchers, and regulators as a reference for evaluating and improving green banking disclosure practices. Novelty: Developing an original Green Banking Disclosure Index tailored to the Southeast Asian context by integrating regional green banking regulations and previous studies. The index contributes to SDG 13 (Climate Action) by enhancing climate-related disclosure practices and supporting the transition toward sustainable finance in the banking sector.

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