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Penguatan Kapasitas Pokdarwis untuk Pariwisata Berkelanjutan Berbasis Kearifan Lokal di Pesawaran, Lampung
Rinaldi Bursan
; Dina Safitri
; Aida Sari
; Driya Wiryawan
; Prakarsa Panjinegara
; Faila Shofa
; Ramadhani Sanjaya
; Doni Sagitarian Warganegara
ARDHI : Jurnal Pengabdian Dalam Negri
Vol 4
, No 1
(2026)
This community service program aimed to strengthen the capacity of local communities in managing sustainable tourism in Pesawaran Regency, Lampung Province. The initiative was motivated by the region's rich natural and cultural tourism potential, which has not yet been matched by adequate community understanding, institutional capacity, and sustainable practices. The program employed a participatory approach, including socialization, training, mentoring, and evaluations using pre- and post-progr...
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The Role of Financial Literacy, Peer Influence, and Digital Transformation in Financial Decision-Making
International Journal of Management Science and Business
Vol 2
, No 4
(2025)
Financial decision-making among university students has become a critical issue in the digital era, requiring adequate financial literacy and adaptive skills. This study aims to explore how students at Lampung Uni-versity make financial decisions by examining three main factors: financial literacy, peer influence, and digital transformation. A qualitative phenomenological approach was employed to capture students’ subjective experiences regarding their thought processes, considerations, and soci...
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Sistem Pakar untuk Mendeteksi Awal Gangguan Kecemasan pada Remaja (Anxiety Disorder) Menggunakan Metode Forward Chaining
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Vol 3
, No 2
(2025)
Health is important for every human being. Health, education and income of each individual are three important factors that greatly influence the quality of human resources. Anxiety disorders are a significant mental health problem and can affect an individual's quality of life. Early detection of anxiety disorders is important to provide appropriate intervention and prevent the development of more serious conditions. This research aims to develop an expert system that is able to detect anxiety...
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Analisis Klaster dan Klasifikasi Emosi Dalam Musik K-Pop dengan K-Means dan Algoritma C 4.5
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi
Vol 2
, No 3
(2024)
The main objectives are to identify emotion patterns hidden in K-Pop music based on audio features extracted from the Spotify API and to build an emotion classification model that can predict the emotions of K-Pop songs.In this approach, the K-Means algorithm is used to cluster K-Pop songs based on audio features such as energy, valence, tempo, danceability, and speechiness. The clustering results reveal several main groups that represent variations in musical characteristics and emotions. Next,...
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