Laliyo, Lukman A.R
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Identifikasi Kemampuan Berpikir Kreatif Siswa dalam Menyelesaikan Soal Open Ended Pada Materi Larutan Elektrolit Dan Non-Elektrolit Said, Sriyanti S; Mohamad, Erni; Pikoli, Masrid; Sihaloho, Mangara; Laliyo, Lukman A.R; Ischak, Netty Ino; Salimi, Yuszda K.
Jambura Journal of Educational Chemistry Vol 4, No 2 (2022): August
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jjec.v4i2.14491

Abstract

Penelitian ini bertujuan untuk mengetahui kemampuan berpikir kreatif siswa dalam menyelesaikan soal open-ended pada materi larutan elektrolit dan non-elektrolit di SMA Negeri 1 Gorontalo. Pendekatan yang digunakan dalam penelitian ini adalah kualitatif dengan jenis penelitian deskriptif. Responden penelitian ada 43 siswa kelas X IPA 1 di SMA Negeri 1 Gorontalo. Pengumpulan data diperoleh dengan cara observasi, pemberian tes dan dokumentasi. Data yang digunakan berupa data hasil tes kemampuan berpikir kreatif siswa yang menggunakan 3 indikator yaitu indikator kefasihan (fluency), keluwesan (flexibility), dan kebaruan (originality). Hasil penelitian menunjukkan bahwa pencapaian rata-rata kemampuan berpikir kreatif siswa pada indikator kefasihan (fluency) memperoleh nilai 69,37% (kategori baik), indikator keluwesan (flexibility) siswa mendapatkan nilai sebesar 61,53% (kategori baik), dan indikator kebaruan (originality) memperoleh nilai 56,58% (kategori cukup).
Measuring Changes in Creativity Thinking of Hydrocarbon Concepts in Students Taught with Hyperdocs Worksheet Modeling Laliyo, Lukman A.R; Lamatenggo, Widya Lestari; Tangio, Julhim S; Katili, Yeyen Apriani
Jambura Journal of Educational Chemistry Vol 6, No 2 (2024): August
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjec.v6i2.26007

Abstract

This research was conducted to determine the changes in conceptual thinking creativity in hydrocarbons among students who were taught by using the Hyperdocs Worksheet at SMA Negeri 7 Gorontalo on hydrocarbon material. The method used in this research was a quasi-experiment with a non-equivalent control group design. The research samples consisted of students from class XI Merdeka 1 as the experiment group and XI Merdeka 2 as a control group at SMA Negeri 7 Gorontalo, selected using purposive sampling. The research from the creative thinking ability test were statitically processed, including prerequisite test consisting of normality and homogeneity tests. The result showed normal distribution and homogeneity. The average pre-test score for the experimental class was 31% and the post-test score was 82%, while the control class had an average pre-test score of 28% and a the post-test score 60%. Furthermore, based on the hypothesis testing using a t-test at a significance level of α = 0.05, a tcount was 9.25 with a ttable of 1.671. This indicates that tcount > ttable, leading to the conclusion that H0 is rejected and H1 is confirmed, indicating a change in conceptual thinking creativity hydrocarbons among students taught using by modeling Hyperdocs Worksheets modeling. The results of the N-Gain test showed that the average N-Gain score for the experiment class was 0.73 and that for the control class, it was 0.43, indicating a high N-Gain score in the experimental class. Therefore, using Hyperdocs Worksheets modeling effectively enhances students' creativity in thinking about hydrocarbon concepts.
Research Trends Of Computational Thinking For Advancing Sustainable Development Goals (SDGs) In Science Learning: Bibliometric Analysis Alfian Erwinsyah; Yusuf, Frida Maryati; Laliyo, Lukman A.R; Mursalin; Inga Riumkina
Jurnal Pendidikan IPA Indonesia Vol. 14 No. 2 (2025): June 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jpii.v14i2.23645

Abstract

Computational Thinking (CT) emerged as a crucial competency that bridges digital literacy and scientific problem solving in the context of achieving Sustainable Development Goal (SDG) 4 on quality education. However, the model of integrating CT in science learning is still poorly explored, hindering progress towards SDG Targets 4.4 (technical skills) and 4.7 (scientific literacy). This study is the first bibliometric analysis to map the trends of CT research in science learning (2021–2023) through Scopus. The novelty lies in the identification of global collaboration patterns, knowledge gaps, and research priorities that are aligned with the 2030 Agenda. Three research questions were guided: (1) Publication distribution, (2) Dominant journals and subject areas, (3) Keyword dynamics/co-occurrence networks. Data retrieved from Scopus using the strings TITLE-ABS-KEY("Computational Thinking" AND "Science Education/Learning") (47 articles, open access, 2021–2023). Analysis techniques include: Performance analysis (publication/citation metrics), Science mapping (author affiliation), Network analysis (keyword grouping via VOSviewer). Key findings show: (1) Peak publication in 2022 (19 articles), (2) Education Sciences (Q1) as the top journal (7 articles), (3) Dominance of Social Sciences (43 articles) and Computer Science (21), (4) Most cited articles: Lodi & Martini (2021; 43 citations), (5) Main keywords: Computational Thinking (27 appearances), Computer Science Education (15), (6) US-led geographic contributions (>20 publications),  (7) Co-occurrence analysis reveals that Scratch (a block-based application) is a less researched CT tool (3 occurrences) than technical languages such as Python. CT integration improves science literacy but is constrained by teacher training gaps (SDG 4.c) and access to resources. The scarcity of research on gamified tools like Scratch signals a critical innovation gap. This study provides an evidence-based roadmap to prioritize teacher professional development, scale accessible CT tools (e.g., Scratch) for science education, and direct future research toward SDG-aligned classroom-based practices.