Claim Missing Document
Check
Articles

DEVELOPMENT OF BAMBOOZLE LEARNING MEDIA BASED ON A TEAM GAME TOURNAMENT TO INCREASE STUDENT LEARNING MOTIVATION Zhafira, Dina; Syahputra, Edi; Mansyur, Abil
JME (Journal of Mathematics Education) Vol 10, No 1 (2025): JME
Publisher : Universitas Sembilanbelas November Kolaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31327/jme.v10i1.2713

Abstract

Encouraging student motivation requires a supportive classroomlearning atmosphere. This study addresses this challenge inmathematics education by developing learning media calledBamboozle. Bamboozle is an online-based learning platform. It wasplayed in tournament mode and employs a keypad as quizzes. Thisresearch was integrated Bamboozle into a cooperative learningmodel—Team Game Tournament (TGT)—and applied to GradeVIII MTsN 1 Medan, focusing on the topic of relations andfunctions. This study used the 4-D model. First, identified theneeds (Define), made media draft (Design), improved with experthelp (Develop), and tested in a small trial (Disseminate). Theresults indicate that the media achieved valid scores in terms ofcontent (3,95), construct (3,91), and media itself (3,92). Theincrease in students’ motivation, from 51.83 to 71.9, falls withinthe medium category based on the N-gain analysis and percentageof positive response above 95% for almost all indicators, indicatingits effectiveness. Additionally, the media was found to be practical,with students and teachers reporting ease of use and suitability withclass time. These findings suggest that Bamboozle has the potentialto enhance student motivation in learning mathematics,particularly when appropriate classroom preparation is ensured.
IMPLEMENTASI PENDEKATAN DEEP LEARNING UNTUK PENGUATAN LITERASI NUMERASI GURU SMP DI KABUPATEN LABUHANBATU UTARA Abil Mansyur; Fajar Apollo Sinaga; Elmanani Simamora; Budi Halomoloan Siregar; Tiur Malasari Siregar; Suvriadi Panggabean
JURNAL PENGABDIAN KEPADA MASYARAKAT Vol. 31 No. 4 (2025): OKTOBER-DESEMBER
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jpkm.v31i4.70295

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk merevitalisasi pembelajaran melalui pendekatan Deep Learning yang berorientasi pada peningkatan literasi numerasi guru-guru SMP di Kabupaten Labuhanbatu Utara. Program melibatkan empat mitra: SMP Negeri 1 Kualuh Selatan, SMP Negeri 3 Kualuh Selatan, SMP Negeri 4 Kualuh Hulu, dan Pesantren Arkanuddin. Metode pelaksanaan disesuaikan dengan kondisi masing-masing mitra: model best practice untuk tiga SMP Negeri dengan dua tahap (BP I: dosen sebagai role model, BP II: guru sebagai pelaksana), dan model pelatihan intensif dengan peer teaching untuk Pesantren Arkanuddin. Kegiatan dilaksanakan pada Mei 2025 melalui tahapan persiapan, pelaksanaan, evaluasi, pembinaan, dan monitoring berkelanjutan. Hasil menunjukkan peningkatan signifikan kompetensi guru dalam mengembangkan perangkat pembelajaran berbasis Deep Learning yang mengintegrasikan prinsip mindful, meaningful, dan joyful learning. Sebanyak 33 guru berhasil mengembangkan perangkat pembelajaran berkualitas yang mencakup RPP, LKPD, media pembelajaran, dan instrumen evaluasi. Pembelajaran di kelas menunjukkan peningkatan keterlibatan aktif siswa, kemampuan berpikir kritis, dan literasi numerasi. Hasil monitoring menunjukkan bahwa konsistensi implementasi Deep Learning bervariasi antar guru. Sekitar 70% guru menunjukkan konsistensi tinggi dalam menerapkan prinsip-prinsip Deep Learning, 25% menunjukkan konsistensi sedang yang perlu penguatan, dan 5% masih memerlukan pembinaan intensif. Faktor-faktor yang memengaruhi konsistensi meliputi: pemahaman konseptual guru, dukungan kepala sekolah, ketersediaan sarana-prasarana, dan beban kerja guru.
DEVELOPMENT OF TECHNOLOGY-BASED ASSESSMENT INSTRUMENTS IN SCIENCE LEARNING: A NARRATIVE REVIEW (2015-2025) Yul Ifda Tanjung; Tiur Malasari Siregar; Suci Frisnoiry; Elfitra Elfitra; Taufiq Ramadhan; Abil Mansyur; Rizky Agassy Sihombing
JURNAL EDUSCIENCE Vol 13, No 1 (2026): Jurnal Eduscience (JES), (Authors from Australia, Taiwan, and Indonesia)
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jes.v13i1.8226

Abstract

Purpose - This study critically synthesizes research on the development of technology-based assessment instruments in secondary science education (junior and senior high school) through a structured Narrative Literature Review (NLR). This review therefore identifies instrument types, implementation contexts, research dimensions examined, and learning impacts, while highlighting gaps in equity, teacher readiness, and longitudinal outcomes.Methodology - Articles were systematically retrieved from Google Scholar and Mendeley within the 2015–2025 publication range using predefined keywords related to technology-based assessment and science learning. Inclusion criteria required peer-reviewed empirical studies focusing on secondary-level science and reporting instrument development or evaluation. Fourteen eligible articles were analyzed using structured content analysis, with emphasis on instrument characteristics, evidence of validity and reliability, implementation contexts, methodological approaches, and reported limitations.Findings - The synthesis indicates that research predominantly centers on Computer-Based Testing (CBT), Computerized Adaptive Testing (CAT), gamified assessments, two-tier diagnostic tests, and LMS-based e-portfolios. Overall, these instruments demonstrate satisfactory validity and reliability and effectively measure higher-order thinking skills and conceptual understanding. They also enhance student motivation and accelerate feedback processes. However, most evidence is based on short-term, small-scale implementations, with limited attention to equity issues, teacher readiness, and sustained learning effects.Contribution - This review integrates psychometric, pedagogical, and technological perspectives into a coherent analytical framework for technology-based assessment in science education. It clarifies existing research gaps and underscores the need for broader contextual validation, stronger methodological rigor, and the integration of learning analytics to ensure sustainable and evidence-based digital assessment practices.
Evaluation of Gaussian Process Regression, Support Vector Regression, and K-Nearest Neighbors for Predicting Concrete Compressive Strength at Various Curing Ages Elmanani Simamora; Abil Mansyur; Muhammad Badzlan Darari; Suvriadi Panggabean; Rizki Habibi
Indonesian Journal of Education and Mathematical Science Vol 7, No 3 (2026)
Publisher : Universitas Muhammadiyah Sumatera Utara (UMSU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/ijems.v7i3.31258

Abstract

Accurate prediction of concrete compressive strength is critical for quality control, structural evaluation, and mix optimization. However, the connection between mix composition, curing age, and compressive strength is often nonlinear and heterogeneous. This study assesses four prediction models, including Native Gaussian Process Regression, Gaussian Process Regression with Conformal Intervals, Support Vector Regression, and K-Nearest Neighbors, to estimate concrete compressive strength at various curing ages. Predictors are produced from a combination of composition, curing age, and material-important properties. Model performance is evaluated using Leave-One-Age-Out and repeated stratified K-fold by Age, with root mean square error, mean absolute error, coefficient of determination, coverage, and average interval length. The results demonstrate that Native Gaussian Process Regression gives the best steady overall performance in both assessment methodologies. At the same time, Gaussian Process Regression with Conformal Intervals tends to provide higher coverage with the consequence of wider intervals. In general, Native Gaussian Process Regression provides the best balance among point prediction accuracy, interval coverage, and interval efficiency for heterogeneous concrete compressive strength data by curing age.