PENGEMBANGAN LEMBAR KERJA PESERTA DIDIK (LKPD) MENGGUNAKAN OUTING KELAS BERBASIS PROBLEM BASED LEARNING(PBL) PADA MATERI KLASIFIKASI MAKHLUK HIDUP KELAS VII SMP

This study aims to develop Student Worksheets (LKPD) based on the Problem-Based Learning (PBL) model to enhance students' cognitive learning outcomes on the topic of Classification of Living Things at SMP Negeri 1 Mego. This development is expected to create effective and inclusive learning media, accommodating students' needs across diverse abilities and backgrounds, while supporting understanding of complex biological concepts.\n\nThe research was conducted using the Research and Development (R&D) model, which includes the stages of needs analysis, product design, expert validation, small- and large-scale trials, and product revision. The research subjects were seventh-grade students at SMP Negeri 1 Mego with varying levels of learning ability. Data were collected through observation, questionnaires, and interviews involving teachers and students.The results showed that the developed LKPD received excellent validation scores from experts. Validation by subject matter experts scored 96.88%, by language experts 100%, and by media experts 96.25%, all categorized as highly valid. The small-scale trial yielded feasibility levels of 89.68% according to students and 89.5% according to teachers, both categorized as highly feasible. In the large-scale trial, feasibility levels increased to 93.7% according to students and 100% according to teachers, also categorized as highly feasible.\n\nBased on these findings, the PBL-based LKPD is proven to be effective i

Authors

Publication Details

Journal
Jurnal Biogenerasi
Published
2024-12-30
DOI
https://doi.org/10.30605/biogenerasi.v10i1.5129
Primary Topic
STEM Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PENGEMBANGAN LEMBAR KERJA PESERTA DIDIK (LKPD) MENGGUNAKAN OUTING KELAS BERBASIS PROBLEM BASED LEARNING(PBL) PADA MATERI KLASIFIKASI MAKHLUK HIDUP KELAS VII SMP

S Mansur, Sukarman Hadi Jaya Putra, Kristina Nika
Jurnal Biogenerasi
STEM Education
article

PENGEMBANGAN LEMBAR KERJA PESERTA DIDIK (LKPD) MENGGUNAKAN OUTING KELAS BERBASIS PROBLEM BASED LEARNING(PBL) PADA MATERI KLASIFIKASI MAKHLUK HIDUP KELAS VII SMP

S Mansur, Sukarman Hadi Jaya Putra, Kristina Nika
article en

Abstract

This study aims to develop Student Worksheets (LKPD) based on the Problem-Based Learning (PBL) model to enhance students' cognitive learning outcomes on the topic of Classification of Living Things at SMP Negeri 1 Mego. This development is expected to create effective and inclusive learning media, accommodating students' needs across diverse abilities and backgrounds, while supporting understanding of complex biological concepts.\n\nThe research was conducted using the Research and Development (R&D) model, which includes the stages of needs analysis, product design, expert validation, small- and large-scale trials, and product revision. The research subjects were seventh-grade students at SMP Negeri 1 Mego with varying levels of learning ability. Data were collected through observation, questionnaires, and interviews involving teachers and students.The results showed that the developed LKPD received excellent validation scores from experts. Validation by subject matter experts scored 96.88%, by language experts 100%, and by media experts 96.25%, all categorized as highly valid. The small-scale trial yielded feasibility levels of 89.68% according to students and 89.5% according to teachers, both categorized as highly feasible. In the large-scale trial, feasibility levels increased to 93.7% according to students and 100% according to teachers, also categorized as highly feasible.\n\nBased on these findings, the PBL-based LKPD is proven to be effective i

Jurnal BiogenerasiVol. 10(1)
Openalex Percentile: Top 61%
STEM Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.