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The Effectiveness of Science Learning Tools Based on Education Sustainable Development (ESD) to Improve Problem-Solving Skills Dwita Dana Pradipta; Madlazim; Eko Hariyono
IJORER : International Journal of Recent Educational Research Vol. 2 No. 3 (2021): May
Publisher : Faculty of Teacher Training and Education Muhammadiyah University of Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46245/ijorer.v2i3.113

Abstract

This study aims to determine the effectiveness of practicing problem-solving skills from ESD-based science learning tools. This research is development research with the ADDIE development model and a one-group pre-test post-test design. Data collection methods using validation and tests. Learning tools in all aspects are stated to be very valid so that they can be implemented. The pre-test average score was 52.96 and the post-test score was 79.84 with an N-gain score of 0.67 in the moderate category. This shows that students can be improve in problem-solving skills with ESD-based learning. Students can improved problem-solving skills in the Lapindo mud phenomenon by integrating the liquid pressure material (Archimedes Law and Bernoulli's Law) with the ESD concept (social, ecological, and economic). In terms of ecology, Lapindo mudflow can be overcome by applying Bernoulli's Law. In the economic sector, the overflowing Lapindo mud can be used as a building material. This is studied in the material of Archimedes Law. In the social point, students can communicate the results of problem-solving with the concept of ESD to the surrounding community.
ANALISIS KEAKURATAN SOLUSI CENTROID MOMENT-TENSOR (CMT) GEMPA BUMI DI WILAYAH JAWA TENGAH MENGGUNAKAN METODE GISOLA, SUDUT KAGAN DAN MEAN ABSOLUTE PERCENTAGE ERROR (MAPE) PADA SOFTWARE JOKOTINGKIR Fairhiza Firman Arjangga; Arie Realita; Madlazim
Inovasi Fisika Indonesia Vol. 15 No. 1 (2026): Vol 15 No 1
Publisher : Prodi Fisika FMIPA Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/ifi.v15n1.p132-146

Abstract

Abstrak Penelitian ini menganalisis keakuratan solusi Centroid Moment Tensor (CMT) gempa bumi di wilayah Jawa Tengah menggunakan software Jokotingkir yang mengimplementasikan algoritma GISOLA, dengan pembanding data dari GlobalCMT melalui metode Sudut Kagan dan Mean Absolute Percentage Error (MAPE). Dari 10 kejadian gempa dengan magnitudo ≥ 5,0 pada tahun 2020–2024, hasil analisis menunjukkan bahwa sebagian besar parameter strike dan dip memiliki kesesuaian cukup baik dengan nilai MAPE masing-masing sebesar 22,99% (dapat diterima) dan 12,39% (baik), sementara rake menunjukkan hasil paling bervariasi dengan MAPE sebesar 49,44% karena sensitivitasnya terhadap arah slip. Analisis Sudut Kagan juga mengindikasikan bahwa sebagian besar solusi CMT menunjukkan kesesuaian sedang hingga tinggi, meskipun beberapa gempa menunjukkan ketidaksesuaian signifikan. Berdasarkan temuan tersebut, disarankan agar pengembangan difokuskan pada peningkatan akurasi estimasi rake melalui penyempurnaan algoritma inversi, perbaikan kualitas data waveform, perluasan cakupan stasiun seismik lokal, dan penerapan model kecepatan 3D regional yang lebih representatif. Abstract This study analyzes the accuracy of Centroid Moment Tensor (CMT) earthquake solutions in Central Java using the Jokotingkir software, which implements the GISOLA algorithm, by comparing the results with data from GlobalCMT through the Kagan Angle and Mean Absolute Percentage Error (MAPE) methods. Based on 10 earthquake events with magnitudes ≥ 5.0 between 2020 and 2024, the analysis shows that most strike and dip parameters are reasonably consistent, with MAPE values of 22.99% (acceptable) and 12.39% (good), respectively, while rake exhibits the highest variation with a MAPE of 49.44% due to its sensitivity to slip direction. The Kagan Angle analysis also indicates that most CMT solutions demonstrate moderate to high similarity, although several events reveal significant discrepancies. These findings suggest that further development should prioritize improving rake estimation accuracy by refining the inversion algorithm, enhancing waveform quality, expanding the coverage of local seismic stations, and applying more representative 3D regional velocity models.
Keakuratan Centroid Moment Tensor (CMT) pada Software Joko Tingkir untuk 7 Gempa Bumi di Wilayah Kepulauan Nusa Tenggara Adinda Rahma Adzdza Riyatunnisa; Madlazim; Muhammad Nurul Fahmi
Inovasi Fisika Indonesia Vol. 15 No. 2 (2026): Vol 15 No 2
Publisher : Prodi Fisika FMIPA Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/ifi.v15n2.p218-232

Abstract

Abstrak Wilayah Kepulauan Nusa Tenggara merupakan daerah rawan gempa akibat interaksi kompleks antara Lempeng Indo-Australia dan Eurasia. Penelitian ini bertujuan mengevaluasi keakuratan solusi Centroid Moment Tensor (CMT) yang dihasilkan oleh software Joko Tingkir, sebuah sistem komputasi berbasis algoritma Gisola untuk penentuan solusi CMT secara otomatis dan real-time. Analisis dilakukan terhadap tujuh gempa bermagnitudo ≥5 yang terjadi pada tahun 2018–2024. Hasil dari Joko Tingkir dibandingkan dengan data referensi Global CMT menggunakan metode Root Mean Square Error (RMSE) dan sudut Kagan. Nilai RMSE untuk semua parameter berada di bawah batas toleransi (maksimal 13,32°), sedangkan nilai rata-rata sudut Kagan sebesar 12,25°, menunjukkan tingkat kesesuaian geometri yang tinggi. Jenis patahan yang dominan adalah sesar naik, sesuai dengan kondisi geotektonik regional. Kesimpulannya, Joko Tingkir mampu memberikan solusi CMT yang akurat dan andal untuk keperluan seismologi regional dan mitigasi bencana di wilayah rawan gempa.   Abstract The Nusa Tenggara Islands are a seismically active region due to the complex interaction between the Indo-Australian and Eurasian plates. This study aims to evaluate the accuracy of Centroid Moment Tensor (CMT) solutions generated by Joko Tingkir, a computational system based on the Gisola algorithm that provides automated and real-time CMT solutions. The analysis focused on seven earthquake events with magnitudes ≥5 that occurred between 2018 and 2024. The results from Joko Tingkir were compared with reference data from Global CMT using the Root Mean Square Error (RMSE) method and Kagan angle analysis. The RMSE values for all parameters remained below the acceptable threshold (maximum 13.32°), while the average Kagan angle of 12.25° indicated a high degree of geometric consistency. The dominant fault type was reverse faulting, aligning with the regional geotectonic conditions. In conclusion, Joko Tingkir is capable of producing accurate and reliable CMT solutions for regional seismological applications and disaster mitigation efforts in earthquake-prone areas.