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METODE STRUCTURAL EQUATION MODELLING (SEM) UNTUK MENENTUKAN KELAYAKAN PENERIMA PROGRAM KELUARGA HARAPAN (PKH) KECAMATAN MEDAN BARAT Darma Wogisfry; Rahmawati Pane; Elly Rosmaini; Aghni Syahmarani
MES: Journal of Mathematics Education and Science Vol 10, No 2 (2025): Edisi April
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v10i2.10257

Abstract

Structural Equation Modeling (SEM) is a statistical analysis method used to test the relationship between variables in a model. SEM can be used as a statistical technique that takes into account latent and manifest variables, so in this study the SEM method was used to determine the eligibility of PKH recipients in West Medan District. Poverty has become a serious problem that is increasingly being faced by several countries in the world, including Indonesia. The Indonesian government has implemented many programs to overcome poverty, one of which is the Family Hope Program (PKH). Based on the research results, it is known that there is a direct negative relationship (indicating that an increase in one variable tends to decrease another variable), namely the family economic variable on the eligibility of recipients of the Family Hope Program
Application of Internet of Things (IoT) Technology Automatic Plant Watering Using Arduino Program on Corn Plants of Sadar Tani Farmers Group Mimmy Sari Syah Putri; Saib Suwilo; Aghni Syahmarani; Putri Cahaya Situmorang; Alberto Tondang
ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat Vol. 10 No. 2 (2025): ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/abdimastalenta.v10i2.18053

Abstract

The technology of the Internet of Things (IoT) is advancing and being implemented in a variety of sectors, including agriculture. The Sadar Tani farmer group's automatic plant watering system for maize plants is the focus of this research, which investigates the application of IoT technology. The primary controller of this system is an Arduino device, which is connected to a communication module and soil moisture sensor to transmit data in real-time. The water pump is automatically activated to irrigate the plants until the humidity level returns to normal when the soil moisture level falls below the specified limit. This implementation has yielded enhanced corn plant health, reduced farmer workload, and increased water use efficiency. Furthermore, this system enables the remote surveillance of crop conditions, which offers supplementary advantages in the management of larger agricultural lands. As a result, the implementation of IoT technology offers a viable solution to the issue of watering plants on expansive agricultural land, in addition to promoting precision agriculture that is more environmentally favorable and sustainable. This research has the potential to serve as a reference for future development in the application of similar technology to other crops and the enhancement of features to optimize agricultural yields.