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All Journal TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Abdi Masyarakat Indonesia Society: Jurnal Pengabdian Masyarakat
Syaifuddin, Akhmad
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Optimasi Akurasi Model Prediksi Magnitudo Gempa Bumi dengan Integrasi Clustering DBSCAN pada Ensemble Learning (Random Forest & XGBoost) Syaifuddin, Akhmad; Prabowo, Tito
TIN: Terapan Informatika Nusantara Vol 5 No 7 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i7.6522

Abstract

Earthquake prediction is crucial for risk mitigation, particularly in taking appropriate preventive measures in the face of disasters. The magnitude of an earthquake is influenced by various factors, including location, depth, and the history of seismic activity in a region. This study aims to develop an accurate earthquake magnitude prediction model by integrating clustering and ensemble learning techniques. Earthquake catalog data from BMKG Indonesia is processed and clustered using the DBSCAN algorithm based on geographical location. The prediction model is constructed using Random Forest and XGBoost, then integrated through stacking ensemble learning techniques. Evaluation results indicate that the stacking model delivers the best performance, with the lowest Mean Squared Error (MSE) of 0.108 and the highest R-squared (R²) of 0.892, compared to individual models. This accuracy improvement is attributed to stacking’s ability to combine the predictive strengths of Random Forest and XGBoost. The study demonstrates that integrating clustering and ensemble learning can enhance earthquake magnitude prediction models. However, further research is needed to explore more comprehensive data and features and to test model generalization in other regions.
Empowering SMEs: Implementing Generative AI for Enhanced Copywriting in Bantul's Kusuka Ubiku Syaifuddin, Akhmad; A'yun, Luthfia Qurrota
Society : Jurnal Pengabdian Masyarakat Vol 4, No 1 (2025): Januari
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/jpm.v4i1.518

Abstract

Micro, Small, and Medium Enterprises (SMEs) play a critical role in bolstering Indonesia’s economy. Efficient business management in these business typically encompasses four main areas: Human Resources, Operations, Marketing, and Finance. In Bantul, the SMEs within the Kusuka Ubiku community face significant challenges in effective marketing due to limited resources and expertise in copywriting. To address this, our program offers assistance in implementing generative AI technology to enhance copywriting skills. The initiative is structured in three phases: 1) Problem Identification, where the specific marketing hurdles are assessed; 2)  Assistance in Developing a Copywriting, which involves practical sessions on using generative AI tools; and 3) Evaluation and Feedback, to measure improvements in marketing outreach and effectiveness. The outcome of this assistance is a set of SMEs equipped with advanced copywriting tools and techniques, enabling them to produce market-relevant copywriting, expand their reach, and enhance brand recognition. The initiative not only aims to provide technical skills but also seeks to foster innovation, ultimately contributing to the sustainable growth of local businesses. Through this program, we anticipate a transformative impact on the marketing capabilities of SMEs in the region.
Peningkatan Kualitas Administrasi Pendidikan melalui Implementasi Sistem Edu Berbasis ERP di SMP IT Insan Mulia Surakarta, Jawa Tengah Widoyono, Bambang; Saptono, Ristu; Rohmadi, Arif; Syaifuddin, Akhmad; Hendra, Brilyan; Anggoro, Rizal Dwi; Ibrahim, Muhammad Syafiq
Jurnal Abdi Masyarakat Indonesia Vol 5 No 6 (2025): JAMSI - November 2025
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jamsi.2130

Abstract

SMP Islam Insan Mulia Surakarta-Jawa Tengah, mengalami kendala administrasi akibat sistem manualnya, terutama dalam penerimaan siswa baru (PPDB), pencatatan pembayaran, dan pengelolaan bank soal. Kendala-kendala ini menyebabkan keterlambatan, kesalahan, dan inefisiensi, sehingga membatasi kualitas layanan. Untuk mengatasi hal ini, dalam program pengabdian masyarakat kami mengimplementasikan sistem EDU berbasis ERP sebagai solusi terintegrasi. Sistem ini menggunakan model waterfall untuk analisis, perancangan, implementasi, pelatihan, dan pengujian yang diterapkan selama tiga bulan. Tiga modul diimplementasikan: PPDB, pembayaran, dan bank soal, yang diuji coba kepada 23 peserta. Evaluasi menunjukkan hasil positif dengan efisiensi (4,08), efektivitas (4,08), dampak (4,38), kepuasan (4,28), dan kemudahan penggunaan (4,17) pada rentang skala 1-5. Program pengabdian ini tidak hanya menyelesaikan kendala administratif di SMP Islam Insan Mulia Surakarta, tetapi juga menghadirkan model implementasi sistem informasi berbasis ERP yang dapat direplikasi di sekolah lain. Digitalisasi administrasi melalui modul PPDB, pembayaran, dan bank soal terbukti meningkatkan efisiensi, transparansi, dan profesionalisme tata kelola pendidikan secara umum.
Empowering SMEs: Implementing Generative AI for Enhanced Copywriting in Bantul's Kusuka Ubiku Syaifuddin, Akhmad; A'yun, Luthfia Qurrota
Society : Jurnal Pengabdian Masyarakat Vol. 4 No. 1 (2025): Januari
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/jpm.v4i1.518

Abstract

Micro, Small, and Medium Enterprises (SMEs) play a critical role in bolstering Indonesia’s economy. Efficient business management in these business typically encompasses four main areas: Human Resources, Operations, Marketing, and Finance. In Bantul, the SMEs within the Kusuka Ubiku community face significant challenges in effective marketing due to limited resources and expertise in copywriting. To address this, our program offers assistance in implementing generative AI technology to enhance copywriting skills. The initiative is structured in three phases: 1) Problem Identification, where the specific marketing hurdles are assessed; 2)  Assistance in Developing a Copywriting, which involves practical sessions on using generative AI tools; and 3) Evaluation and Feedback, to measure improvements in marketing outreach and effectiveness. The outcome of this assistance is a set of SMEs equipped with advanced copywriting tools and techniques, enabling them to produce market-relevant copywriting, expand their reach, and enhance brand recognition. The initiative not only aims to provide technical skills but also seeks to foster innovation, ultimately contributing to the sustainable growth of local businesses. Through this program, we anticipate a transformative impact on the marketing capabilities of SMEs in the region.
Co-Authors A'yun, Luthfia Qurrota Anggoro, Rizal Dwi Arif Rohmadi, Arif Hendra, Brilyan Ibrahim, Muhammad Syafiq Prabowo, Tito Ristu Saptono Widoyono, Bambang