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All Journal EIGEN MATHEMATICS JOURNAL Jurnal Pengabdian Masyarakat dan Riset Pendidikan
Riska Multiyaningrum
Universitas Muhammadiyah Semarang
Humanities Education Languange, Linguistic, Communication & Media Mathematics Other

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Pelatihan Pembuatan Dashboard untuk Pemberdayaan Remaja Kanguru di Desa Gayamsari : Pengabdian Ihsan Fathoni Amri; Wikanastri Hersoelistyorini; Muhammad Ivan Ardiansyah; Riska Multiyaningrum
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 4 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 4 April - Juni
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i4.5750

Abstract

Artikel ini melaporkan pelaksanaan program pengabdian kepada masyarakat yang bertujuan untuk memberdayakan Remaja Kanguru di Desa Gayamsari melalui pelatihan pembuatan dashboard. Di era transformasi digital, literasi data dan kemampuan visualisasi informasi menjadi keterampilan penting dalam meningkatkan tata kelola dan transparansi organisasi. Hasil identifikasi awal menunjukkan bahwa dokumentasi dan pelaporan kegiatan masih dilakukan secara manual dan belum terintegrasi dalam sistem digital yang terstruktur. Program dilaksanakan dengan metode partisipatif yang meliputi sosialisasi, praktik pengolahan data menggunakan spreadsheet, pembuatan dashboard berbasis Google Data Studio, serta pendampingan pascapelatihan. Kegiatan ini diikuti oleh 15 remaja aktif. Meskipun terdapat kendala koordinasi lokasi akibat perubahan kepengurusan masjid, kegiatan berhasil dilaksanakan di Universitas Muhammadiyah Semarang (UNIMUS) sebagai bentuk strategi adaptif. Hasil kegiatan menunjukkan adanya peningkatan kemampuan peserta dalam mengelola data, menyusun laporan, dan membuat dashboard interaktif. Evaluasi kepuasan menunjukkan 14 peserta menyatakan sangat puas dan 1 peserta menyatakan puas terhadap pelaksanaan kegiatan. Program ini membuktikan bahwa pelatihan literasi digital berbasis dashboard efektif dalam memperkuat transparansi, akuntabilitas, dan profesionalisme organisasi kepemudaan berbasis komunitas.
Forecasting the Volatility of Tuna Fish Prices in North Sumatra using the ARCH Method in the Period January - April 2024 Riska Multiyaningrum; Ihsan Fathoni Amri; M. Al Haris; Havinka Angel Salsabilla; Heppy Nur Asavia Ginasputri; Salsabila Dhea Sintya
Eigen Mathematics Journal Vol 7 No 2 (2024): December
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v7i2.236

Abstract

Tuna (Euthynnus affinis) is one of the most important fisheries commodities in Indonesia with significant economic value, especially in its contribution to fisheries export revenue. However, the price of tuna experiences significant fluctuations that can affect local and national economic stability. This study analyzes the daily price fluctuations of tuna in the North Sumatra market from January 1, 2024 to April 29, 2024 using a time series analysis approach. Daily price data were collected and analyzed to identify existing price patterns and volatility. The Autoregressive Conditional Heteroskedasticity (ARCH) model was selected to address the heteroscedasticity in the data, which suggests that the volatility of tuna prices can be well predicted based on past price behavior. The analysis steps include identifying the optimal ARCH model using the Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF), as well as testing parameter significance and normality assumptions to validate the model fit. The results show that the ARMA (1,0,0) model is the optimal one to model the price volatility of yellow tuna with the MAPE obtained of 2.382. compared to the ARMA-ARCH method with the MAPE value obtained of 2,747. Because it still contains heteroskedasticity effects, even though the results are good, the prediction results do not closely match the original data. The model is effective in improving price forecasting accuracy, which is important to support decision-making in risk management and economic planning in the fisheries sector. The findings contribute to understanding the dynamics of the yellowtail market and optimizing strategies for fisheries management.
Co-Authors Havinka Angel Salsabilla Heppy Nur Asavia Ginasputri Ihsan Fathoni Amri M. Al Haris Muhammad Ivan Ardiansyah Salsabila Dhea Sintya Wikanastri Hersoelistyorini