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All Journal Jurnal Penelitian Rumpun Ilmu Teknik Business System & Innovation Journal (BSIJ)
Salma Nofri Yanti
Universitas Pamulang
Computer Science & IT Engineering

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Sistem Monitoring dan Kendali Kipas Otomatis Berbasis IoT pada Kandang Ayam Syahrul Ramadan; Angelina Hadriani; Sarah Anjani; Salma Nofri Yanti
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 5 No. 3 (2026): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v5i3.6847

Abstract

Temperature and humidity management in poultry houses is an important factor in maintaining suitable environmental conditions for poultry farming. This study was conducted at Hasan Farm, located in Kampung Cimuncang Cilik, Cimuncang Village, Serang District, Serang City, Banten Province. The operation of ventilation fans at the research site was still performed manually, resulting in suboptimal responses to temperature changes, while direct monitoring of the poultry house was inefficient in terms of time and labor. This study aims to design and implement an Internet of Things (IoT)-based automatic fan control system capable of monitoring and controlling poultry house conditions in real time. The system uses an ESP32 as the central controller, a DHT22 sensor to measure temperature and humidity, an HC-SR04 ultrasonic sensor to detect distance, a 4-channel relay module to control the actuators, a 16×2 I2C LCD for local display, and the Blynk application for monitoring, remote control, and notifications. Sensor data are processed by the ESP32 to automatically activate the fan when the temperature reaches or exceeds 30°C, while the lamp is controlled manually through Blynk. Test results show that the system can display temperature, humidity, and distance data in real time through the LCD and Blynk, control the relay, fan, and lamp according to the operating mode, and send notifications when the temperature exceeds the specified threshold. The system can effectively, efficiently, and responsively support integrated monitoring and control of poultry house conditions, thereby contributing to improved poultry farm productivity.
Bridging ERP Integration and Decision-Making Quality: The Critical Role of Information Quality Arzetia Firlyani; Abdullah Husin; Rezti Deawinda Parinduri; Salma Nofri Yanti
Business System & Innovation Journal Vol. 1 No. 2 (2026): Digital Innovation, Business Resilience, and Organizational Transformation
Publisher : Yayasan Fathurahman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67955/bsij.v1i2.22

Abstract

In the modern digital era, Enterprise Resource Planning (ERP) systems have evolved from routine administrative tools into vital strategic assets. However, the direct technological implementation of ERP does not automatically guarantee superior organizational performance unless mediated by the optimal quality of information it produces.This study investigates the complex mechanisms through which ERP Integration influences Managerial Decision-Making Quality, explicitly examining Information Quality as a critical mediating variable. Utilizing a quantitative research design, data were gathered through a cross-sectional survey administered to 150 professionals actively utilizing ERP systems across diverse organizational roles (managers, supervisors, business analysts, and administrative staff). The structural equation modeling approach based on Partial Least Squares (PLS-SEM) was executed using SmartPLS 4 to evaluate both the measurement and structural models. The empirical findings confirm that ERP Integration exerts a strong positive and statistically significant effect on Information Quality ($\beta = 0.642, t = 8.127$) and a direct positive impact on Decision-Making Quality ($\beta = 0.325, t = 3.869$). Furthermore, Information Quality significantly influences Decision-Making Quality ($\beta = 0.518, t = 6.317$) and acts as a robust partial mediator in the relationship between ERP Integration and Decision-Making Quality ($\beta = 0.332, t = 4.099$). The study demonstrates that while comprehensive system integration accelerates managerial actions, information quality serves as the pivotal cognitive bridge that translates technological infrastructure into superior decision-making outcomes. These insights extend the DeLone and McLean Information Systems Success Model and offer actionable managerial directives for optimizing data governance in digitally integrated organizations.
Co-Authors Abdullah Abdullah Angelina Hadriani Arzetia Firlyani Rezti Deawinda Parinduri Sarah Anjani Syahrul Ramadan