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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) AJAD : Jurnal Pengabdian kepada Masyarakat
Rifaz Muhammad Sukma
Universitas Jenderal Achmad Yani
Humanities Computer Science & IT Engineering

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Peningkatan Kualitas Produk Paguyuban Jamu Manunggal Kota Cimahi Melalui Standardisasi Bahan Baku Fahrauk Faramayuda; Ari Sri Windyaswari; Ridwan Ilyas; Dhimas Ariya Wibiksana; Nursafira Khairunnisa Ismail; Reyhan Adriana Deris; Rifaz Muhammad Sukma; Tzazkia Febriyana Akbar; Chandani Nurul Hafizah; Rizka Khoirunnisa Guntina
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 3 No. 2 (2023): AUGUST 2023
Publisher : Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v3i2.185

Abstract

The activity of the community of herbal medicine manunggal in Cimahi city, as the main partner, is to guide the processing of traditional medicines and the herbal medicine business. The proposing team held an initial meeting and socialization for members of the Jamu Manunggal community in the city of Cimahi on December 25, 2021, regarding counseling on planting, post-harvest processing, and the benefits of the cat's whiskers plant. From the results of these activities, several problems were identified: the raw materials for traditional medicines in the Jamu Manunggal Association needed to be better standardized. This activity aims to improve the quality of traditional medicinal products through standardization. The results of the drying shrinkage testing of the five medicinal raw materials met the standards in the Indonesian Herbal Pharmacopoeia. In testing the water-soluble ash content, the levels obtained were not too large illustrating the potential for minor contamination of traditional medicinal raw materials. The general conclusion is that the raw materials for traditional medicine in the Jamu Manunggal Association of Cimahi City have good quality.
Advanced Earthquake Magnitude Prediction Using Regression and Convolutional Recurrent Neural Networks Asep Id Hadiana; Rifaz Muhammad Sukma; Eddie Krishna Putra
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 8 No 4 (2024): August 2024
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v8i4.5922

Abstract

Earthquake magnitude prediction is critical in seismology, with significant implications for disaster risk management and mitigation. This study presents a novel earthquake magnitude prediction model by integrating regression analysis with Convolutional Recurrent Neural Networks (CRNNs). It utilises Convolutional Neural Networks (CNNs) for spatial feature extraction from 2-dimensional seismic signal images and Long Short-Term Memory (LSTM) networks to capture temporal dependencies. The innovative model architecture incorporates residual connections and specialised regression techniques for sequential data. Validated against a comprehensive seismic dataset, the model achieves a Mean Squared Error (MSE) of 0.1909 and a Root Mean Squared Error (RMSE) of 0.4369, with a coefficient of determination of 0.79772. These metrics, alongside a correlation coefficient of 0.8980, demonstrate the model's accuracy and consistency in predicting earthquake magnitudes, establishing its potential for enhancing seismic risk assessment and informing early warning systems.
Co-Authors Ari Sri Windyaswari Chandani Nurul Hafizah Dhimas Ariya Wibiksana Fahrauk Faramayuda, Fahrauk Hadiana, Asep Id Nursafira Khairunnisa Ismail Putra, Eddie Krishna Reyhan Adriana Deris Ridwan Ilyas Rizka Khoirunnisa Guntina Tzazkia Febriyana Akbar