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INDONESIA
Jurnal Pendidikan Sains dan Komputer
Published by Information Technology and Science
ISSN : -     EISSN : 2809476X     DOI : 10.47709/jpsk
Core Subject : Humanities, Science, Education, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Education Energy Immunology & microbiology Materials Science & Nanotechnology Mathematics Physics Other
Jurnal Pendidikan Sains dan Komputer (JPSK) merupakan jurnal akses terbuka nasional yang meliputi hasil kajian ilmiah interdisipliner, orisinal dan diulas oleh mitra bestari yang kompeten di bidangnya. Lingkup jurnal ini meliputi pendidikan sains baik teori dan praktek dengan bidang ilmu pendidikan Matematika, Fisika, Kimia, IPA dan komputer. Jurnal ini juga menyediakan artikel-artikel berkualitas dengan mengikuti perkembangan ilmu pengetahuan terbaru. JPSK diterbitkan 2x setahun yaitu pada bulan Februari dan Oktober.
Arjuna Subject : Matematika - Ilmu Komputer Teoritis
Articles 220 Documents
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Stigma Sosial dan Rekonstruksi Identitas Diri pada Pengidap Skizofrenia: Kajian Fenomenologis: Social Stigma and Self-Identity Reconstruction in Schizophrenia Sufferers: A Phenomenological Study Gregorius Andrea Mustikaningrat Gregorius Andrea Mustikaningrat; Siswanto Siswanto; Margaretha sih setija utami Margaretha sih setija utami
Jurnal Pendidikan Sains dan Komputer Vol. 6 No. 01 (2026): Artikel Riset, February 2026
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jpsk.v6i01.7576

Abstract

This study aims to analyse how social construction shapes public perceptions of people with schizophrenia and how social stigma influences the formation and reconstruction of their self-identity. Schizophrenia has been wrongly perceived as a dangerous and incurable condition, thus giving rise to a strong social stigma. To understand this phenomenon, this study used a qualitative approach with an Interpretative Phenomenological Analysis (IPA) design on three participants diagnosed with schizophrenia and undergoing therapy at a rehabilitation institution in Semarang City. Data were collected through in-depth interviews and were analysed thematically to explore the meaning of the participants' subjective experiences. The results revealed four main themes, namely: (1) the social construction of schizophrenia through the process of labelling and stereotyping; (2) internalisation of stigma that influences self-identity; (3) the role of social support in the process of identity reconstruction; and (4) clinical and social implications towards a holistic recovery approach. These findings reveal that social support plays a significant role in reducing the negative impact of self-stigma and helping individuals rebuild a positive identity. This study emphasises the importance of a multidimensional approach in the recovery of people with schizophrenia that combines medical, social, and psychological aspects.
Pengembangan Buku Ajar Bahasa Arab Berbasis Muhadatsah untuk Maharah Kalam Siswa Kelas X Madrasah Aliyah: PengeDevelopment of Arabic Language Textbooks Based on Muhadatsah for Maharah Kalam of Grade X Students of Madrasah Aliyahmbangan Buku Ajar Bahasa Arab Berbasis Muhadatsah untuk Maharah Kalam Siswa Kelas X Madrasah Aliyah Lastry Retnasary; Nurul Hidayah; Amrini Shofiyani
Jurnal Pendidikan Sains dan Komputer Vol. 6 No. 01 (2026): Artikel Riset, February 2026
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jpsk.v6i01.8033

Abstract

This research is motivated by the low mastery of Arabic speaking skills of students at MA Al-Ihsan Kalijaring Jombang, which has an impact on decreasing student interest and learning outcomes. This condition occurs because the learning process is still conventional, so that students tend to be passive and easily feel bored in following Arabic language learning. Therefore, this research aims to develop a Muhadatsah-based Arabic language textbook as a solution to overcome the low mastery of Arabic speaking skills of students. The method used in this research is Research and Development (R&D) by adopting the ADDIE model. The subjects of this research were 20 students of class X IPA and IPS MA Al-Ihsan Kalijaring Jombang. The data collection instruments used included questionnaires and tests. The types of data analyzed produced qualitative and quantitative data, which showed that: (1) teaching materials have been successfully developed in the form of Muhadatsah-based Arabic language textbooks; (2) based on the validity test, the developed textbooks reached a valid feasibility level with an average of 79.33% from material experts and 78.33% from media experts; and (3) the level of effectiveness of the textbook is classified as very effective, which is shown by comparing the pre-test scores with an average of 30% and the post-test with an average of 90%.
Pengaruh Resize Citra terhadap Pengenalan Sidik Jari dengan Pendekatan Klasifikasi SVM: The Effect of Image Resizing on Fingerprint Recognition with the SVM Classification Approach Surya Ario Pratama; Gasim Gasim; Indah Permatasari
Jurnal Pendidikan Sains dan Komputer Vol. 6 No. 02 (2026): Call for Papers Juni 2026
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jpsk.v6i02.8711

Abstract

Fingerprint recognition systems on resource-limited devices often face the challenges of aggressive image dimension compression (resizing) and natural scan tilt variations. This research does not aim to design a commercial identification system, but rather to specifically analyze the limitations of image resolution reduction (64x64, 96x96, 128x128, and 256x256 pixels) and to evaluate the effectiveness of synthetic rotation augmentation in compensating for Support Vector Machine (SVM) classification performance. The test uses a primary dataset (100 images, 20 classes) partitioned stratified (80:20) to prevent data leakage, where the augmentation process produces a total of 1,600 training images. In comparison, 20 test images are retained as pure unseen data. The stage continues with feature extraction using the Rotation Invariant Local Binary Pattern (LBP-RoR, radius 1). The experimental results show that a 64x64-pixel size is the threshold for structural failure, at which the ridge topology is fatally damaged, leading to a test accuracy of 10%. The model exhibited the highest overfitting phenomenon at 128x128 pixel resolution (training accuracy 79.17%, testing 40%). The best generalization equilibrium point was achieved at 256x256 pixels with a testing accuracy of 50%. This maximum achievement, which was stuck at 50%, demonstrates the vulnerability of the LBP and linear SVM margin methods to pixel-artifact distortion (aliasing) caused by digital rotation. This study concludes that spatial data augmentation cannot fully substitute the need for a physical finger alignment module (fingerprint alignment) in the preprocessing stage.
Health Promotion through a Digital Peer Education Platform for Teenage Pregnancy to Reduce Stunting Sri Rahma Friani; Meyana Marbun; Deswidya S Hutauruk; Elsida Aritonang
Jurnal Pendidikan Sains dan Komputer Vol. 6 No. 02 (2026): Call for Papers Juni 2026
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jpsk.v6i02.8762

Abstract

Adolescents who experience early pregnancy before the age of 18–20 years are at greater risk of giving birth to low-birth-weight babies and experience limited ability to maintain ideal nutritional care. National data shows that the prevalence of stunting in Indonesia, according to local studies, shows that children born to adolescent mothers have a risk of stunting of up to 44.4%, much higher than children of adult mothers. Peer education plays a role in the delivery of information carried out by peers who are considered more trustworthy and easier to accept. Health promotion interventions that use digital platforms are easily accessible; the digital media arena allows for the dissemination of information quickly, interestingly, and according to adolescent learning styles. The purpose of this study was to determine the influence of the Digital Peer Education Platform on adolescent pregnancy knowledge to reduce stunting. This study used a quasi-experimental design, using a pre-test-post-test control group design. Two groups were randomly selected and then given a pre-test to determine whether there were any differences between the experimental and control groups. Data analysis included paired t-tests and independent t-tests to determine differences in knowledge and attitude scores. The results of this study, based on the analysis of the Paired Sample T-Test, indicate that peer education has an effect on adolescents' knowledge levels with a p-value of 0.001 (p<0.05). Suggestions are expected for schools to implement peer education methods in future learning curricula.
Integrasi Coding dalam Pembelajaran Statistika dan Probabilitas di SMK: Dampak terhadap Kompetensi Siswa: Coding Integration in Statistics and Probability Learning in Vocational High Schools: Impact on Student Competence Fairus Aufa Baharita; Ilham Suryo Saputra; Rehandika Priambudi; Hamzah Tsabit Akdama; Ilham Robbani; Purwadi Purwadi
Jurnal Pendidikan Sains dan Komputer Vol. 6 No. 02 (2026): Call for Papers Juni 2026
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jpsk.v6i02.8777

Abstract

The development of digital technology has driven the need for learning innovations that not only improve understanding of mathematical concepts but also develop students' digital skills. One possible approach is to integrate a coding platform into the learning of probability and statistics in Vocational High Schools (SMK). This study aims to analyze the implications of using a coding platform on students' understanding of probability and statistics concepts, data analysis skills, and the development of digital skills. The research method is a descriptive approach that employs coding-based learning simulations in Python. Implementation is carried out through probability simulation activities, statistical data processing, data visualization, and project-based learning. Data processing uses 500 student grades to calculate measures of central tendency, analyze data distribution, and automatically generate statistical visualizations. The results show that using a coding platform can facilitate understanding of probability through interactive simulations, improve students' ability to efficiently process and analyze large amounts of data, and help create more accurate and understandable data visualizations. The integration of coding into learning fosters logical thinking, problem-solving, computational thinking, and digital literacy relevant to the needs of the workforce in the digital industrial era. The integration of coding platforms into probability and statistics learning has the potential to be an effective strategy for improving the quality of mathematics learning while preparing vocational school students to face the challenges of future technological developments.
IoT-Based Smart Energy Meter for Real-Time Electrical Power Monitoring: A Systematic Review Muhammad Raihan Abiyyu; Zidni Ma'ruf; Deka Rahmat Dhani; Imam Alfajri
Jurnal Pendidikan Sains dan Komputer Vol. 6 No. 02 (2026): Call for Papers Juni 2026
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jpsk.v6i02.8811

Abstract

The rapid advancement of the Internet of Things (IoT) has significantly transformed electrical energy monitoring by enabling real-time data acquisition, remote accessibility, and intelligent energy management. IoT-based smart energy meters integrate sensors, microcontrollers, communication technologies, and cloud platforms to monitor key electrical parameters, including voltage, current, power, and energy consumption. Despite extensive research in this field, existing studies exhibit considerable variation in hardware architectures, communication protocols, monitoring capabilities, and integration with advanced energy management systems. Therefore, this study presents a systematic review of recent developments in IoT-based smart energy meters for real-time electrical power monitoring. The review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. Relevant articles published between 2023 and 2026 were collected from ScienceDirect, IEEE Xplore, SpringerLink, and Google Scholar, resulting in 14 eligible studies for qualitative synthesis. The findings indicate that ESP32-based platforms, voltage and current sensing technologies, Wi-Fi communication, and MQTT protocols dominate current implementations due to their cost-effectiveness and real-time monitoring capabilities. Furthermore, the review highlights emerging trends involving renewable energy integration, cloud-based analytics, machine learning applications, and smart grid interoperability. However, critical challenges remain regarding cybersecurity, scalability, interoperability, bidirectional energy monitoring, and integration with industrial control systems. This review provides a comprehensive overview of current technological developments, identifies research gaps, and proposes directions for developing intelligent, secure, and scalable IoT-based energy monitoring systems to support next-generation smart grids and sustainable energy management.
Sistem Inspeksi Visual Hasil Stamping Berbasis YOLOv8 pada Raspberry Pi 4B Terintegrasi ESP32 dan Firebase: YOLOv8-Based Stamping Results Visual Inspection System on Raspberry Pi 4B Integrated with ESP32 and Firebase Rani Ariesta Nur Aprilia; Tatyantoro Andrasto; Arief Arfriandi
Jurnal Pendidikan Sains dan Komputer Vol. 6 No. 02 (2026): Call for Papers Juni 2026
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jpsk.v6i02.8843

Abstract

The progress of Industry 4.0 drives the need for automated visual inspection systems to replace manual inspection processes in the printing industry, which are prone to operator errors, especially for detecting stamping defects. This research aims to implement a YOLOv8-based visual inspection system on a Raspberry Pi 4B as an edge computing device, integrated with an ESP32 and Firebase Realtime Database, for realtime IoT-based monitoring. The system is designed using a Pi CSI OV5647 camera for image acquisition, the YOLOv8 model to classify products into Good and Not Good categories, an ESP32 as a product-sorting servo controller via the HTTP GET protocol, and Firebase Realtime Database as a cloud-based storage and monitoring medium via the REST API. Testing was conducted on a prototype automatic stamping machine in a laboratory environment, with 907 frames processed continuously. The test results show that the system successfully detects and classifies stamping, with average confidence scores of 0.7097 for the Good category and 0.7398 for the Not Good category. The Raspberry Pi 4B is capable of running realtime inference with an average latency of 372.18 ms and a processing speed of 2.69 FPS, as well as stable CPU, RAM, and processor temperatures of 42.53%, 23.08%, and 62.27°C, respectively. All classification data was successfully sent to ESP32 and Firebase without failures, with average latencies of 294.46 ms and 1456.60 ms, respectively. The research results show that the Raspberry Pi 4B can serve as the main processing device for a YOLOv8-based visual inspection system integrated with IoT technology for realtime monitoring.
Analisis Regression Splines untuk Memodelkan Hubungan Angka Harapan Hidup dengan Akses Air Minum Layak di Indonesia : Spline Regression Analysis to Model the Relationship between Life Expectancy and Access to Safe Drinking Water in Indonesia Harifa Hananti; Rosi Ramayanti; Muflihatuz Zakiyah; Azly Adillah
Jurnal Pendidikan Sains dan Komputer Vol. 6 No. 02 (2026): Call for Papers Juni 2026
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jpsk.v6i02.9044

Abstract

Life Expectancy (AHH) is one of the main indicators in assessing the quality of life and human development of a region. One factor suspected of contributing to AHH is household access to safe drinking water, as it is closely related to disease prevention, nutritional status, and the overall quality of public health. The relationship between the two variables is suspected to be non-linear, so the parametric regression approach is considered inadequate to capture the true pattern of the relationship. This study aims to analyze the relationship between the percentage of access to safe drinking water and AHH in 34 Indonesian provinces in 2024 using a nonparametric regression approach, specifically spline regression. Secondary data were obtained from the Central Bureau of Statistics, with AHH as the dependent variable and the percentage of access to safe drinking water as the independent variable. The analysis was conducted using R software through the stages of descriptive statistics, data visualization, estimation of a simple linear regression model as a comparison, and spline regression modeling with the selection of optimum knot points based on the smallest Generalized Cross Validation value. The results showed that a spline regression model with nine knots for women's AHH and five knots for men's AHH produced an R² value of 0.3675, higher than the OLS model of 0.3447. The relationship between the two variables was positive but nonlinear, with increases in AHH tending to slow down at higher levels of access to improved drinking water. This finding emphasizes the importance of prioritizing policies to increase access to improved drinking water in areas with low access to provide a more significant health impact for the community.
Optimasi Backpropagation Menggunakan Grid Search untuk Penentuan Penerima Beasiswa Bidik Misi Berdasarkan Biodata Pendaftaran Mahasiswa Baru: Backpropagation Optimization Using Grid Search to Determine Bidik Misi Scholarship Recipients Based on New Student Registration Biodata Farida Gultom; Nova Erawati Sidabalok; Cindy Paramitha; Rinto Imanuel Gultom
Jurnal Pendidikan Sains dan Komputer Vol. 6 No. 02 (2026): Call for Papers Juni 2026
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jpsk.v6i02.9083

Abstract

The Bidik Misi Scholarship Program is a form of educational assistance provided to outstanding students from economically disadvantaged families. This program aims to expand access to higher education, reduce the gap in learning opportunities, and support the improvement of human resource quality. In practice, the selection process for scholarship recipients is still often carried out manually based on assessments of various administrative, social, and economic criteria. This process has the potential to create subjectivity, requires a relatively long time, and increases the possibility of errors in decision-making. Therefore, a prediction system is needed that can assist the selection process more objectively, quickly, and accurately. This study developed a prediction model for Bidik Misi Scholarship recipients using the Backpropagation algorithm optimized through the Grid Search method to obtain the best hyperparameter combination. The data used were new student registration biodata covering various social, economic, and academic indicators. The model was built using an Artificial Neural Network by comparing the performance of the Grid Search optimization model and the standard Backpropagation model. The results showed that the optimized model using Grid Search achieved an accuracy rate of 88.46%. In comparison, the standard Backpropagation model with the Stochastic Gradient Descent (SGD) solver produced a higher accuracy of 96.15%. These findings demonstrate that selecting the right hyperparameters significantly impacts model performance and indicate that the standard Backpropagation model is more appropriate for the characteristics of the data used. The resulting system is expected to support the scholarship recipient selection process more efficiently, objectively, consistently, and transparently.
Pengaruh Model Pembelajaran (Project Based Learning) terhadap Peningkatan Kompetensi Konsep Dasar Listrik dan Elektronika Siswa: The Influence of the Learning Model (Project Based Learning) on ??Improving Students' Basic Electrical and Electronic Concept Competence Elsida Aritonang; Deswidya S Hutauruk
Jurnal Pendidikan Sains dan Komputer Vol. 6 No. 02 (2026): Call for Papers Juni 2026
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jpsk.v6i02.9093

Abstract

This study aims to determine the effect of the Project-Based Learning model on improving the Basic Electrical and Electronics Concept Competence of class XI students at SMK Swasta Raksana Medan. The subjects of this study were selected using a total sampling technique, and the treatment group was selected by random sampling, namely the treatment group with the Project-Based Learning learning model (22 people) and the treatment group with the Conventional learning model (22 people). Research data were collected using the Basic Electrical and Electronics Concept Competence test and analyzed using a two-way difference test with a two-tailed t-test at a significance level of 5%. Based on the results of the study, the average Basic Electrical and Electronics Concept Competence of students taught with the Project-Based Learning learning model was 21.91, with a high tendency level, and the average Basic Electrical and Electronics Concept Competence of students taught with the Conventional learning model was 19.86, with a high tendency level. The results of the analysis requirements test show that the distribution of Basic Electrical and Electronics Concept Competence data taught with the Project Based Learning learning model is normally distributed where L Table 0.1832 > L Count 0.0824 and the Basic Electrical and Electronics Concept Competence data taught with the Conventional learning model is normally distributed where L Table 0.1832 > L Count 0.1370 and both data variances are Homogeneous because F Count 1.37 < F Table 2.08. The results of this study indicate that the Project-Based Learning model and the Conventional learning model yield significantly different outcomes in students' Basic Electrical and Electronics Concept Competence, with t Count = 2.52 > t Table = 2.02.

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