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All Journal Justek : Jurnal Sains Dan Teknologi Bitnet: Jurnal Pendidikan Teknologi Informasi Jurnal Ilmu Pendidikan dan Sains Islam Interdisipliner
Latifahny Aridia Alfitri
Universitas Pendidikan Indonesia
Religion Humanities Computer Science & IT Control & Systems Engineering Education Library & Information Science Mathematics Social Sciences

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Pengaruh Strategi Think Problem Solving Share (TPSS) terhadap Pemahaman Siswa pada Pembelajaran Administrasi Infrastruktur Jaringan di SMK Albiana; Wahyudin; Latifahny Aridia Alfitri
Jurnal Ilmu Pendidikan dan Sains Islam Interdisipliner Vol. 5 No. 3 Agustus 2026: Jurnal Ilmu Pendidikan dan Sains Islam Interdisipliner
Publisher : Yayasan Azhar Amanaa Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59944/jipsi.v5i3.1243

Abstract

Pendidikan kejuruan menuntut pemahaman konseptual dan kemampuan pemecahan masalah, namun pembelajaran Administrasi Infrastruktur Jaringan (AIJ) di SMK masih cenderung berpusat pada guru. Penelitian ini mengembangkan strategi Think Problem Solving Share (TPSS), yaitu Think Pair Share yang dimodifikasi  dengan menambahkan tahapan pemecahan masalah, untuk meningkatkan pemahaman siswa pada pembelajaran AIJ.   TPSS tidak berhenti pada tahap berbagi pendapat seperti pada TPS konvensional, melainkan menuntun siswa untuk terlebih dahulu menganalisis permasalahan, merumuskan solusi, dan mengevaluasinya secara eksplisit sebelum hasil pemikiran tersebut dipresentasikan oleh siswa, sehingga pemahaman yang dibentuk diharapkan lebih mendalam. Penelitian menggunakan pendekatan kuantitatif dengan metode quasi eksperimen dan desain Posttest-Only Control Group Design. Sampel penelitian berjumlah 60 siswa kelas XI Teknik Komputer dan Jaringan yang dipilih menggunakan cluster random sampling, dikelompokkan menjadi kelas eksperimen yang menerapkan TPSS dan kelas kontrol yang menerapkan pembelajaran konvensional. Data pemahaman siswa diperoleh melalui tes posttest, kemudian dianalisis menggunakan uji Mann-Whitney U dan effect size. Hasil penelitian menunjukkan nilai signifikansi sebesar 0,001 (kurang dari 0,05), yang berarti terdapat perbedaan pemahaman yang signifikan antara kelas eksperimen dan kelas kontrol, dengan capaian pemahaman kelas eksperimen lebih tinggi. Meskipun nilai effect size sebesar 0,44 tergolong lemah, hasil tersebut menunjukkan bahwa penerapan strategi TPSS memberikan pengaruh yang signifikan, namun dengan besaran efek yang masih terbatas. Strategi TPSS berpengaruh signifikan terhadap pemahaman siswa pada pembelajaran AIJ dan dapat menjadi alternatif strategi pembelajaran pada mata pelajaran kejuruan lain dengan karakteristik serupa. Terbatasnya besaran efek ini menunjukkan bahwa peningkatan pemahaman siswa tidak semata-mata ditentukan oleh strategi pembelajaran, tetapi juga oleh faktor lain seperti karakteristik individu siswa dan lamanya waktu penerapan, sehingga TPSS sebaiknya diterapkan secara berkelanjutan agar dampaknya dapat terlihat lebih optimal di kelas kejuruan.
PRIMMBASE: E-LKPD Berbasis PRIMM untuk Meningkatkan Logical Thinkingdalam Pembelajaran Basis Data: PRIMMBASE: A PRIMM-Based E-Worksheet to Enhance Logical Thinking in Database Learning Danis Keysara Saputra; Wahyudin Wahyudin; Latifahny Aridia Alfitri
Bitnet: Jurnal Pendidikan Teknologi Informasi Vol. 11 No. 3 (2026): Bitnet: Jurnal Pendidikan Teknologi Informasi
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/bitnet.v11i3.13606

Abstract

Learning Data Manipulation Language requires students not only to memorize SQL syntax but also to analyze table relationships, predict query outputs, identify errors, and construct appropriate queries. This study aimed to develop PRIMMBASE, a web-based electronic student worksheet integrating the Predict, Run, Investigate, Modify, and Make stages, and to examine students’ logical thinking improvement and responses to its use. The study employed a Research and Development approach using the ADDIE model and a one-group pretest–posttest design. PRIMMBASE was implemented with 35 eleventh-grade Software Engineering students at a vocational high school, while the N-Gain analysis used 31 complete pretest–posttest pairs. Expert validation results reached 89.52% for media and content quality, 95.38% for conformity with PRIMM, and 100% for the virtual assistant’s scaffolding functions. Students’ logical thinking achieved an average N-Gain of 0.755, categorized as high. Analysis, synthesis, comparison, and classification showed high improvement, whereas generalization reached a moderate category. Students’ responses obtained 87.11%, indicating a very positive evaluation of usability. These findings suggest that PRIMMBASE is feasible and potentially supports logical thinking through structured query-learning activities, although further studies involving control groups are required to confirm its effectiveness.
Design and Development of a Transparent AI-Driven Assessment Framework Based on BERT/RoBERTa and Explainable AI for Student Resume Evaluation Yogi Prasetyo; Yuli Sopianti; Latifahny Aridia Alfitri
Justek : Jurnal Sains dan Teknologi Vol 9, No 3 (2026): September
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v9i3.41616

Abstract

The evaluation of resume-based answers demands complex semantic understanding and knowledge structuring, making manual assessment prone to inter-rater inconsistency, while deep learning models such as BERT generally operate as a black box without adequate transparency. This study aims to design a Transparent AI-Driven Assessment Framework that integrates a BERT/RoBERTa model for resume assessment, an Explainable AI module based on SHAP and LIME, and a dual-validation mechanism based on multiple-choice analytics to verify learners' conceptual understanding. The study employs the Research and Development (R&D) method, covering needs analysis, architectural design, and the development of a prototype based on a microservices architecture interoperable with the Learning Management System. A formative evaluation of the prototype conducted on 15 respondents (7 lecturers and 8 students) yielded an average System Usability Scale score of 88.17 (Excellent category) and high perceived usefulness and transparency scores (4.78 and 4.72 out of 5), which preliminarily support the feasibility of the design, although these results remain indicative given the limited number of respondents.
Co-Authors Albiana Danis Keysara Saputra Wahyudin yogi prasetyo Yuli Sopianti