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Wijaya, Alvin Candra
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Integrasi Sistem Informasi Geografis dalam Pemetaan Kualitas Air untuk Mendukung Program Sanitasi Masyarakat Rahardjo, Poegoeh Prasetyo; Widyastuti, Diena; Zairina, Anisa; Mondiana, Yani Quarta; Wijaya, Alvin Candra; Farida, Siti
JURNAL GREEN HOUSE Vol 4 No 1 (2025): Jurnal Green House
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63296/jgh.v4i1.56

Abstract

The decline in river water quality due to domestic and industrial pollution presents a major challenge in urban environmental management. This study aims to map the spatial distribution of water quality in the Upper Metro Sub-watershed using a Geographic Information System (GIS) approach to support community-based sanitation planning. The methodology involved the measurement of physical, chemical, and biological parameters at five monitoring stations. Water quality was evaluated using the STORET method and EPT Index (Ephemeroptera, Plecoptera, Trichoptera), while spatial data were analyzed using IDW interpolation to generate pollution distribution maps. The results revealed a downstream degradation in water quality, indicated by increasing levels of BOD, COD, TSS, and phosphate, and decreasing DO. According to STORET classification, the upstream area was categorized as unpolluted, whereas the downstream stations were moderately polluted. The EPT index decreased from 12 taxa upstream to none downstream, reinforcing the chemical analysis. Spatial maps highlighted pollution hotspots in densely populated residential and small industrial zones. GIS integration proved effective in visualizing pollution zones and supporting decision-making in the Total Sanitation Program (STBM). This study offers technical and spatial recommendations to improve data-driven water quality management.
Pengembangan Sistem Kontrol Lingkungan Mikro Tanaman Aglaonema Berbasis Internet of Things Wijaya, Alvin Candra; Diena Widyastuti; Didik Suprayitno; Nunuk Hariyani; Sri Sulastri
JURNAL GREEN HOUSE Vol 4 No 2 (2026): Jurnal Green House
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63296/jgh.v4i2.63

Abstract

Aglaonema is an ornamental plant with high aesthetic and economic value, whose growth and quality are strongly influenced by microclimate conditions such as temperature, air humidity, and soil moisture. This study aims to develop an Internet of Things (IoT) based microclimate control system for Aglaonema plants capable of monitoring and controlling environmental conditions automatically and in real time. The system is designed using an ESP32 microcontroller as the main controller, a DHT22 sensor for measuring temperature and air humidity, a soil moisture sensor for monitoring growing media conditions, and actuators consisting of a cooling fan and a water pump. Environmental data are transmitted to the ThingSpeak platform to support remote monitoring. System testing includes sensor accuracy evaluation, actuator response testing, and assessment of the system’s impact on plant growth. The results indicate that the sensors exhibit good accuracy and stability, the actuators operate correctly according to predefined control logic, and the system effectively maintains optimal microclimate conditions for plant growth. The proposed system has the potential to support more efficient and automated Aglaonema cultivation under a limited experimental scale.