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THE EFFORTS TO REDUCE DEPRESSION LEVELS IN THE ELDERLY USING MUSIC THERAPY TECHNIQUES: UPAYA PENURUNAN TINGKAT DEPRESI PADA LANSIA DENGAN MENGGUNAKAN TEHNIK TERAPI MUSIK Hyan Oktodia Basuki; Hanim Nur Faizah; Andini Vina Azzahra; Ananda Khoirunnisa; Dellanikita
ABDIMASNU: Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 1 (2024): ABDIMASNU
Publisher : Institut Ilmu Kesehatan Nahdlatul Ulama Tuban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47710/abdimasnu.v4i1.243

Abstract

Background: Depression is a disorder of mental feelings that often occurs in society. Starting from untreated stress can turn into more serious. Depression can occur at all ages, especially in the elderly, the elderly are a group that is vulnerable to physical and psychosocial changes. Purpose: This community service activity aims to socialize about treatment in reducing depression/stress by using music therapy. Method: This community service activity uses the lecture and question and answer method. The lecture method is carried out by presenting material about depression and music therapy.Meanwhile, the question-and-answer method is done by asking participants about the material that has been presented. Result: The results of this community service activity found that participants could understand and apply the material that had been presented. Conclusion: Based on the community service activities that have been carried out, many of the participants are enthusiastic about receiving the whole series of events, starting from the presentation of the material to the question-and-answer interaction. Keywords: Depression, Music Therapy, Elderly
Segmentasi Spasial Tingkat Kemiskinan Provinsi Sumatera Selatan Menggunakan Pendekatan Klasterisasi K-Means Jonathan Pakpahan; Septhia Charenda Putri; Ananda Khoirunnisa; Rafika Octaria Ningsih; Putri Mutiara Arinie; Arvhi Randita Setia; Ken Ditha Tania; Allsela Meiriza
Jurnal Ilmiah Komputasi Vol. 24 No. 3 (2025): Jurnal Ilmiah Komputasi : Vol. 24 No 3, September 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.24.3.3820

Abstract

Kemiskinan adalah tantangan utama dalam pembangunan ekonomi yang membutuhkan analisis berbasis data. Kajian ini menerapkan metode klasterisasi K-Means untuk segmentasi spasial tingkat kemiskinan berdasarkan indikator sosial-ekonomi, seperti persentase penduduk miskin, rata-rata lama sekolah, pengeluaran per kapita, serta indeks kedalaman dan keparahan kemiskinan. Data dari BPS tahun 2024 diolah menggunakan pendekatan Knowledge Discovery in Database (KDD) melalui tahapan seleksi data, prapemrosesan, transformasi, penambangan data, dan evaluasi menggunakan RapidMiner. Hasil klasterisasi membentuk empat kelompok dengan disparitas kesejahteraan antarwilayah, di mana beberapa daerah menunjukkan tingkat kemiskinan yang lebih tinggi. Melalui pemetaan berbasis data ini, penelitian diharapkan menjadi dasar bagi pengambil kebijakan dalam merancang strategi penanggulangan kemiskinan yang efektif dan tepat sasaran guna mengurangi ketimpangan sosial serta meningkatkan kesejahteraan masyarakat di Provinsi Sumatera Selatan. Kata kunci: Kemiskinan, K-Means, Klasterisasi, Data Mining, Sumatera Selatan.