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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 158 Documents
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IoT-based Embedded System for Data Acquisition and Monitoring Measurement Data Methane Concentration, Humidity, and Temperature on Peatland Iwan Sugriwan; Melania Suweni Muntini; Yono Hadi Pramono
Journal of Current Studies in SDGs Vol. 3 No. 2 (2027): June
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.3.2.190

Abstract

Abstract. In the context of the Industrial Revolution 4.0, characterized by integrating digital technologies into all aspects of our lives, developing innovative environmental devices for analyzing and monitoring methane gas concentration, air humidity, and temperature from peatland has become increasingly significant. Methane (CH4) is a major contributor to greenhouse gases, alongside carbon dioxide (CO2) and nitrous oxide (N2O), and is emitted by peatlands. The proposed IoT-based embedded system, a key component of the Industrial Revolution 4.0, plays a crucial role in data acquisition and displaying measurement data online. TGS2611 is a sensor device that detects methane concentration, and DHT22 is a device that senses humidity and temperature. Both sensor modules, TGS2611 and DHT22, are connected to the Node MCU ESP8266 as a microcontroller and a Wi-Fi module. Node MCU ESP8266 is also connected to an LCD 20x4 character to display methane concentration, humidity, and temperature. Wi-Fi signal connected to the three parameters from the Node MCU ESP8266. ESP8266 accesses the SSID address and password on the server computer. The database system built with MySQL to show methane concentration, temperature, and humidity on the server computer receives the measurement results data.; we developed a web page with HTML, CSS, JavaScript, and PHP to access the measurement data results on a database system.
Temperature Profile at Shallow Subsurface Depth of Warm Ground Geothermal Manifestations in Bukit Kasih Minahasa, North Sulawesi: Implications for SDG 7 Cyrke Adfie Netty Bujung; Donny Royke Wenas
Journal of Current Studies in SDGs Vol. 3 No. 2 (2027): June
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.3.2.191

Abstract

Objective: To investigate the shallow subsurface temperature profile of warm ground geothermal manifestations in the Bukit Kasih area, Minahasa, North Sulawesi, Indonesia. Specifically, this study examined the relationship between temperature variation and subsurface depth to develop a preliminary thermal model of geothermal manifestations. The study contributes to geothermal resource assessment and supports sustainable renewable energy development in line with Sustainable Development Goal 7 (Affordable and Clean Energy). Method: The study employed a field-based quantitative approach through direct temperature measurements at warm ground geothermal manifestation sites. Temperature data were collected from several randomly selected measurement points at shallow subsurface depths ranging from 0 to 200 cm. The research was conducted over six months, consisting of field surveys, preparation of measurement equipment, geothermal manifestation observations, temperature data acquisition, laboratory analysis, and data processing. The temperature gradient and depth-temperature relationship were analyzed to determine the subsurface thermal characteristics and develop temperature distribution models. Results: The results showed that the shallow subsurface temperature gradient of warm ground manifestations in the Bukit Kasih geothermal area varied from 13.61 to 71 °C/m. The temperature-depth relationship demonstrated a linear pattern at shallow subsurface depths, indicating a consistent increase in temperature with increasing depth. Meanwhile, the temperature model at greater depths followed a logarithmic function pattern, reflecting changes in heat transfer behavior within the subsurface environment. These findings provide important information regarding shallow geothermal characteristics and potential indicators for further geothermal exploration. Novelty: The study provides new insights into the shallow subsurface thermal characteristics of warm ground geothermal manifestations in Bukit Kasih, Minahasa, North Sulawesi, by developing a temperature-depth model based on direct field measurements. The findings contribute to geothermal exploration strategies and the advancement of renewable energy utilization in accordance with SDG 7 (Affordable and Clean Energy).
Object Detection of Motor Vehicle Suspension Systems Based on the YOLOv8 Algorithm: Supporting Sustainable Industry and Innovation (SDG 9) Helmi Wibowo; Nurul Muzakki Rihhadatul ‘Aisy; Muhammad Iman Nur Hakim; Mokhammad Rifqi Tsani; Setya Wijayanta
Journal of Current Studies in SDGs Vol. 3 No. 2 (2027): June
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.3.2.192

Abstract

Objective: To develop an object detection system for identifying motor vehicle suspension system components using the YOLOv8 algorithm. Specifically, this study focused on improving the efficiency and accuracy of undercarriage inspection processes, which are commonly conducted manually and require technical knowledge to recognize suspension components and detect potential damage. This research contributes to automotive inspection innovation and supports the development of sustainable industrial technology in accordance with Sustainable Development Goal 9 (Industry, Innovation, and Infrastructure). Method: The study employed a computer vision-based approach using the YOLOv8 object detection algorithm for recognizing suspension system components in motor vehicles. The dataset consisted of 1000 suspension system images collected from mandatory vehicle inspection activities at motor vehicle testing facilities. Results: The results showed that the YOLOv8-based detection model could identify suspension system components with an accuracy of up to 95%. Furthermore, the trained model successfully detected oil leakage damage on shock absorber components with an accuracy of 92%. The evaluation results indicate that the proposed system can effectively recognize suspension components under different inspection conditions and provide reliable assistance for vehicle undercarriage inspection processes. Novelty: The study provides a novel implementation of the YOLOv8 deep learning algorithm for automated suspension system inspection in motor vehicles by integrating computer vision technology into the vehicle testing process. The developed system contributes to automotive technology innovation and supports the advancement of smart inspection infrastructure in line with SDG 9 (Industry, Innovation, and Infrastructure).
Artificial Intelligence Based Detection of Over Dimension and Overload (ODOL) Vehicles Using the YOLO Algorithm for Sustainable Transportation Infrastructure (SDG 9) Mokhammad Rifqi Tsani; Humam Eka Saputra; Muh Irhas Rafiqi; Hafid Yusuf Ramadhan
Journal of Current Studies in SDGs Vol. 3 No. 2 (2027): June
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.3.2.193

Abstract

Objective: To develop an artificial intelligence-based detection system for identifying Over-Dimension and Overload (ODOL) vehicles using the YOLO algorithm. Specifically, this study focused on improving the efficiency of ODOL vehicle monitoring, which is important for maintaining road safety, reducing infrastructure damage, and supporting effective transportation regulation. This research contributes to the development of smart transportation systems and sustainable infrastructure innovation in accordance with Sustainable Development Goal 9 (Industry, Innovation, and Infrastructure). Method: The study employed a computer vision-based approach using YOLOv8m and YOLOv10n algorithms for ODOL vehicle detection. The dataset consisted of vehicle images containing over-dimension vehicles, normal vehicles, and trucks collected from digital image sources. Results: The experimental results showed that YOLOv8m achieved better performance compared with YOLOv10n in detecting ODOL vehicles. YOLOv8m obtained a confusion matrix value of 78%, a precision-recall curve value of 81.7%, precision of 91.6%, and recall of 90%. Although YOLOv10n achieved a higher recall value of 93%, its overall detection performance was lower, with a confusion matrix value of 59%, precision-recall curve value of 72.3%, and precision of 89.9%. The implementation of YOLOv8m into an IoT-based detection system successfully enabled real-time data transmission and storage in a database, demonstrating its capability for practical ODOL vehicle monitoring applications. Novelty: The study provides a novel implementation of YOLO-based artificial intelligence technology for real-time ODOL vehicle detection by integrating deep learning, computer vision, and IoT infrastructure. The developed system supports the advancement of intelligent transportation infrastructure and contributes to sustainable innovation in transportation management in line with SDG 9 (Industry, Innovation, and Infrastructure).
Needs Analysis of Website Development as Marketing Media to Support SDG 8 for Furniture Entrepreneurs in Petekeyan Village, Jepara Regency Jayanti Putri Purwaningrum; Nur Fajrie; Evana Andriani; Jati Widagdo
Journal of Current Studies in SDGs Vol. 3 No. 2 (2027): June
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.3.2.194

Abstract

Objective: The study aims to analyze the need for website development as a digital marketing medium for furniture entrepreneurs in Petekeyan Village, Jepara Regency, to support business competitiveness and sustainable economic growth in line with SDG 8. Method: The study employed a quantitative descriptive approach. Data were collected through questionnaires and semi-structured interviews with furniture business owners in Petekeyan Village, Jepara Regency. The collected data were analyzed descriptively to identify entrepreneurs' perceptions and functional requirements for website-based marketing. Results: The findings revealed that 67% of business owners strongly agreed that a website is essential for improving product marketing and expanding market reach. The most expected website features include user login and registration, social media integration, high access speed, data security, accessibility, scalability, backend system integration, and reporting and analytics functions. These features reflect the practical needs of entrepreneurs in adopting digital marketing strategies. Novelty: The study provides an empirical needs analysis for developing a website tailored to the requirements of furniture entrepreneurs in Petekeyan Village. Unlike previous studies that primarily evaluate website implementation, this research identifies user-driven functional requirements as the foundation for designing an effective digital marketing platform that supports business digitalization and contributes to the achievement of SDG 8 (Decent Work and Economic Growth).
Social Media and Communication Literacy: Exploring the Relationship between Usage Intensity among Education Administration Students Novriyanti Achyar; Anisah Anisah; Sari Febrianti; Singgih Ginanjar
Journal of Current Studies in SDGs Vol. 3 No. 3 (2027): September
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.3.3.195

Abstract

Abstract. This study aims to examine the influence of social media usage intensity on communication literacy skills among students majoring in Educational Administration. The method used in this research is a quantitative approach with survey techniques. The research sample consisted of 121 students randomly selected from 623 registered students in the Department of Educational Administration at Padang State University. Data was collected through a questionnaire that measures the intensity of social media use and media literacy skills in student communication. Data analysis using the Pearson correlation method to identify the relationship between the two variables. The research results show a significant positive correlation between the intensity of social media use and the communication literacy skills of students. Students who have a relatively high intensity of social media use tend to have better communication literacy. Based on Pearson's correlation analysis, the obtained correlation value is 0.442 with a significance of 0.003. This result shows that social media can be an effective tool in improving communication skills if used wisely. This research suggests that the use of social media in the educational context should be better considered to support the development of students' communication literacy skills.
Trust and the Influence of Social Media Marketing, Influencers, Flow State on Online Impulsive Buying Dwi Novitasari; Prafidhya Dwi Yulianto; Annisa Fitrianingrum; Desy Silvia Rachmawati
Journal of Current Studies in SDGs Vol. 3 No. 3 (2027): September
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.3.3.196

Abstract

Abstract. Internet user access in Indonesia is increasing annually, with the internet primarily used for accessing various application platforms, especially social media. Social media users now prefer platforms with complete features for information, chatting, and shopping. This trend has led to issues regarding shopping behavior on social media, which offers attractive deals through celebrity endorsements, easy access to finance, and greater convenience than direct shopping. This study aims to analyze Social Media Marketing (SMM), influencers, flow state, and trust mediation in online impulsive buying behavior. This research also includes a perspective from accounting or finance, namely mental accounting on online impulsive buying behavior which, based on previous literature, has not been widely used so far. The research approach used is quantitative with a cross-sectional design, with a sample of shoppers on the TikTok application. Data analysis uses the Structural Equation Model (SEM) technique. The findings show that flow states play a direct role in online impulsive buying where SMM and influencers do not. The next finding is that trust plays a full mediating role in the influence of SMM, influencers, and flow state on online impulsive buying.
Scientific Literacy Skills Based on Local Wisdom and Pancasila Student Profile: Supporting Quality Education (SDG 4) Mustika Wati; Nur Afifah Azzahra; Qamariah Qamariah
Journal of Current Studies in SDGs Vol. 3 No. 3 (2027): September
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.3.3.197

Abstract

Objective: Scientific literacy is an essential competency for students in responding to rapid developments in science and technology. However, students’ scientific literacy skills in Indonesia remain below international standards, indicating the need for contextual learning approaches. This study aims to analyze the scientific literacy profile of senior high school students based on local wisdom and the Pancasila Student Profile. This study contributes to achieving Sustainable Development Goal (SDG) 4 by supporting quality education through contextual and meaningful science learning. Method: A descriptive quantitative approach using a survey method. The participants consisted of 202 senior high school students from Balangan and Tabalong Regencies, South Kalimantan, Indonesia. Data were collected using a scientific literacy instrument consisting of 16 multiple-choice questions integrated with local wisdom and Pancasila Student Profile values. The collected data were analyzed using the Rasch Model with the assistance of the Winstep application to determine students’ ability levels, item difficulty, and instrument reliability. Results:  The results showed that students’ scientific literacy skills were categorized as very high (8.91%), high (23.27%), sufficient (31.68%), low (28.71%), and very low (7.43%). The instrument demonstrated adequate reliability with a person reliability value of 0.69 and Cronbach’s alpha value of 0.75. These findings indicate that most students have moderate scientific literacy abilities, but further improvement is required.  Novelty: To provide a novel contribution by assessing physics scientific literacy using instruments integrated with local wisdom and the Pancasila Student Profile, providing a contextual approach to supporting quality science education aligned with SDG 4.
Implementation and Validation of the CIPPO Model: A Case Study at Nurul Fajri Senior High School Palasah, Majalengka Supporting SDG 4 Fikri Hari Rustiyawan; Mohammad Afifulloh; Dian Mohammad Hakim; Ika Ratih Sulistiani Sulistiani; Muhammad Fahmi Hidayatullah; Moh. Muslim
Journal of Current Studies in SDGs Vol. 3 No. 3 (2027): September
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.3.3.198

Abstract

Objective: To  analyze the implementation and validation of the CIPPO (Context, Input, Process, Product, and Outcome) evaluation model as an educational evaluation framework to improve learning quality at Nurul Fajri Senior High School Palasah Majalengka. The study highlights the importance of comprehensive evaluation models in supporting sustainable educational improvement and achieving the objectives of Quality Education (SDG 4). Method: A qualitative program evaluation approach. Data were collected through classroom observations, semi-structured interviews with teachers, students, and school administrators, as well as document analysis. Data validation was conducted through triangulation to obtain comprehensive information regarding the implementation process of the CIPPO model. Results:  The findings indicate that the implementation of the CIPPO model positively contributed to improving student engagement, teaching effectiveness, learning outcomes, and teacher satisfaction. The context component showed strong support from school management and community involvement, while the input and process components emphasized the importance of teacher development and curriculum adaptation. The outcome component demonstrated improvements in students’ academic achievement, motivation, and character development.  Novelty: To provide empirical evidence regarding the application of the CIPPO model in an Islamic-based secondary school context by integrating academic achievement and character education. The findings contribute to educational evaluation practices that support sustainable quality improvement aligned with SDG 4.
The Essential Role of Elementary School Teachers in Guidance and Counseling Services: Developing Student Empathy in Indonesia in Support of SDG 4 Firdian Setiya Arinata; Awalya Awalya; Eem Munawaroh; Ashari Mahfud; Najma Sana Nadhirah Hilman; Adinuringtyas Herfi Rahmawati
Journal of Current Studies in SDGs Vol. 3 No. 3 (2027): September
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.3.3.199

Abstract

Objective: Empathy is a fundamental social-emotional competency that supports students’ personal development, positive interpersonal relationships, and inclusive learning environments. However, increasing cases of bullying, intolerance, and interpersonal conflicts among elementary school students indicate that empathy development remains a significant educational challenge in Indonesia. This study aims to examine the essential role of elementary school teachers in implementing guidance and counseling services to foster students' empathy while contributing to Sustainable Development Goal (SDG) 4, particularly the promotion of quality and inclusive education. Method: A Systematic Literature Review (SLR) using the Arksey and O'Malley scoping review framework. Relevant studies published between 2014 and 2024 were identified through Garuda, Taylor & Francis, Open Knowledge Maps, and PubMed databases. Literature selection followed predetermined inclusion and exclusion criteria, while thematic analysis was conducted to synthesize evidence regarding teachers' roles and effective strategies for empathy development through guidance and counseling services.  Results:  The findings demonstrate that elementary school teachers play a pivotal role in integrating guidance and counseling into daily learning activities to enhance students' empathy. Effective strategies include experiential learning-based guidance programs, strengthening teacher–student relationships, collaboration with parents, bullying prevention initiatives, violence prevention education, and cognitive empathy enhancement. These approaches contribute to students' social-emotional development, reduce aggressive behavior, and support the creation of safe and inclusive school environments aligned with SDG 4.  Novelty: Unlike previous studies that primarily focused on either teacher roles or empathy interventions separately, this review integrates current evidence to provide a comprehensive synthesis of elementary school teachers' guidance and counseling practices for empathy development within the Indonesian educational context. Furthermore, the study explicitly connects empathy-based guidance and counseling with the achievement of SDG 4 (Quality Education), offering practical recommendations for integrating empathy development into elementary education policies and classroom practices.

Page 13 of 16 | Total Record : 158

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