Desa Gandasoli, sebagai salah satu desa di Kecamatan Cikakak, Kabupaten Sukabumi, menghadapi berbagai tantangan dalam meningkatkan kesejahteraan dan kemandirian masyarakatnya. Latar belakang penelitian ini adalah masalah stunting yang tinggi di Indonesia, termasuk di Desa Gandasoli. Tujuan dari penelitian ini adalah untuk memberdayakan masyarakat dan UMKM, serta mencegah stunting melalui program pengabdian kepada masyarakat. Metode penelitian melibatkan observasi, survei, dan diskusi dengan masyarakat untuk merancang program yang tepat. Program ini mencakup pembuatan video profil desa, branding UMKM, pemberian makanan tambahan (PMT), sosialisasi mitigasi bencana, dan kegiatan pendidikan serta kebersihan lingkungan. Hasil penelitian menunjukkan bahwa program-program ini berhasil meningkatkan kesadaran dan partisipasi masyarakat, memperkuat UMKM, serta membantu mengurangi risiko stunting dan meningkatkan kualitas hidup masyarakat Desa Gandasoli. Melalui kolaborasi yang sinergis antara pemerintah, masyarakat, dan institusi pendidikan, Desa Gandasoli diharapkan dapat menjadi model pemberdayaan desa lainnya di Indonesia.

Water quality monitoring is an important step in maintaining environmental sustainability and public health. Water turbidity is one of the main parameters in assessing water quality, because a high level of turbidity can indicate pollution that is harmful to aquatic ecosystems and humans. In the digital era, Internet of Things (IoT) technology has been applied to improve the effectiveness of real-time monitoring of water turbidity. This study aims to examine IoT-based water turbidity monitoring strategies and technologies using the Systematic Literature Review (SLR) method with the PRISMA protocol. In the process of searching for literature, this study identified 222 articles from the Scopus database, which, after going through the screening stage based on relevance, document type, and accessibility, resulted in seven main articles for further analysis. The results of the review show that the utilization of IoT sensors and wireless communication enables real-time monitoring of water turbidity, improves early detection of pollution, and improves effectiveness in water monitoring. However, challenges such as data security, sensor reliability, and communication network stability still need to be overcome to ensure the system works optimally. This study confirms that IoT can be a more efficient and sustainable solution in monitoring water turbidity.