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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 213 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 Retnasary, Lastry; Hidayah, Nurul; Shofiyani , Amrini
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.

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