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PENGELOLAAN SAMPAH DI GEDUNG TPA QURROTA A'YUN DUKUH TLOBONGAN, BENTAK, SIDOHARJO, SRAGEN Isnandar Slamet; Winita Sulandari; Irwan Susanto; Etik Zukhronah; Sugiyanto, Sugiyanto; Sri Subanti; Adigama Tri Nugraha; Aji Susanto
J-ABDI: Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 4: September 2024
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jabdi.v4i4.8472

Abstract

Pengelolaan sampah di Indonesia menghadapi tantangan besar akibat urbanisasi dan pertumbuhan populasi yang pesat, dengan sebagian besar sampah dibuang tanpa proses pengolahan yang memadai. Penelitian ini bertujuan meningkatkan kesadaran dan perilaku positif dalam pengelolaan sampah di TPA Qurrota A'yun melalui pendidikan karakter dan solusi pintar. Metode yang digunakan mencakup survei awal, penyusunan materi, sosialisasi, penyediaan fasilitas tempat sampah, serta pelatihan dan praktek langsung. Hasil survei awal menunjukkan rendahnya pengetahuan dan kesadaran peserta tentang pengelolaan sampah. Setelah sosialisasi, terjadi peningkatan signifikan dalam pemahaman dan perilaku peserta, dengan 50% membuang sampah di tempat yang sesuai dan 87,5% mengetahui cara memilah sampah. Kesadaran lingkungan juga meningkat menjadi 96,9%. Dampak positif terlihat dari lingkungan yang lebih bersih dan peningkatan kesadaran lingkungan serta pendidikan karakter. Hasil ini menegaskan pentingnya pendidikan dan fasilitas yang memadai dalam pengelolaan sampah yang berkelanjutan.
Implementation of Content-Based Filtering in Tourist Destination Recommendation System in Central Java Adigama Tri Nugraha
Jurnal Aplikasi Sains Data Vol. 1 No. 1 (2025): Journal of Data Science Applications.
Publisher : Program Studi Sains Data UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/jasid.v1i1.3

Abstract

Tourism is a potential sector that plays an important role in the regional economy with significant contributions to regional income and foreign exchange earnings. Central Java, as one of the provinces with great potential in the tourism sector, has a variety of tourist attractions that include natural, artificial, special interest destinations, and more. One effort to optimize the tourism sector in Central Java is to improve tourism information services by creating a recommendation system for tourist attractions in Central Java. This research aims to create a personalized recommendation system for tourist attractions in Central Java based on user preferences using content-based filtering methods and neural network machine learning. This method is used to analyze the features of tourist attractions and user preferences, and to generate relevant recommendations. The model is trained using Adam optimization with a learning rate of 0.01 and 300 epochs. The evaluation results show that this method can provide tourist attraction recommendations in Central Java that tend to match user preferences with relatively low error rates, as indicated by a Mean Squared Error (MSE) value of 0.1766. Thus, this research can contribute to optimizing the tourism sector in Central Java and guide individuals in finding tourist attractions that suit their individual preferences.