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EDUKASI PEMANFAATAN LIMBAH KULIT SALAK MENJADI TEH HERBAL KEPADA ANGGOTA PKK DESA BANJAR SEMINAI Edo Arribe; Syahvi Ramadhan; Yoga Surya Agustion; Vhany Syafri Andini; Edwi Ferlanda
Jurnal AbdiMas Nusa Mandiri Vol. 8 No. 2 (2026): Periode April 2026
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/abdimas.v8i2.7521

Abstract

Banjar Seminai Village, located in Dayun District, Siak Regency, is the largest producer of snake fruit, with production reaching 8,403.92 quintals in 2024. This large production volume has led to an increase in snake fruit peel waste, but it has not been optimally utilized yet. This problem give a potentially polluting the environment and miss economic opportunities for the community. The purpose of this community service activity is to educate on utilizing snake fruit peel waste into a valuable product in the form of herbal tea. The approach employed is Asset-Based Community Development (ABCD) with the stages of village asset identification, outreach, participatory discussions, and demonstrations of herbal tea making. This activity was attended by the Banjar Seminai Village community, including snake fruit farmers, housewives, and village youth. The activity's outcomes demonstrated a growth in the community's knowledge and awareness on regarding snake fruit peel waste management, as evidenced by the active participation of participants during the discussion and their interest in trying to process snake fruit peel waste independently. The community also expressed their interest in developing businesses based on local products. The end result of this activity is that utilizing salak peel waste to make herbal tea it’s not only increases environmental awareness but also creates a new economic opportunities for the community. This activity aims to serve as the initial phase in creating sustainable, high-quality village products and boosting the local economy.
Segmentasi Mahasiswa Berdasarkan Nilai Akademik dan Kehadiran Menggunakan Algoritma Clustering: Sebuah Tinjauan Yoga Surya Agustion; Reny Medikawati Taufiq
Jurnal Sistem Informasi dan Teknologi Jaringan Vol 7 No 2 (2026): September
Publisher : CV. ADMITECH SOLUTIONS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63703/sisfotekjar.v7i2.168

Abstract

Penelitian ini menyajikan tinjauan literatur sistematis mengenai penerapan algoritma clustering untuk segmentasi mahasiswa berdasarkan nilai akademik dan kehadiran. Tinjauan ini mengkaji 21 artikel ilmiah yang dipublikasikan pada tahun 2022 hingga 2026 dari jurnal nasional terakreditasi SINTA dan sumber internasional. Analisis dilakukan untuk: (RQ1) mengidentifikasi algoritma clustering yang paling dominan digunakan dalam segmentasi mahasiswa; (RQ2) mengevaluasi perbedaan kinerja antara model tunggal dan model hybrid berdasarkan metrik evaluasi internal seperti Silhouette Score dan Davies-Bouldin Index; serta (RQ3) mengkaji faktor-faktor yang memengaruhi kualitas segmentasi pada data pendidikan. Hasil kajian menunjukkan bahwa K-Means tetap menjadi algoritma paling dominan karena kesederhanaannya dan skalabilitasnya, diikuti DBSCAN yang efektif untuk deteksi outlier, dan K-Medoids yang lebih robust terhadap noise. Pendekatan hybrid secara konsisten menghasilkan nilai metrik evaluasi yang lebih unggul dibandingkan model tunggal. Strategi pra-pemrosesan, penentuan jumlah klaster optimal menggunakan Elbow Method dan Silhouette Analysis, serta rekayasa fitur diidentifikasi sebagai tiga faktor paling kritis dalam meningkatkan kualitas segmentasi mahasiswa untuk pengambilan keputusan akademik berbasis data.