The modification of an Internet of Things (IoT)-based smart greenhouse and the analysis of solar panel energy efficiency involve a comparative calculation of conventional electrical energy and the electrical energy generated by solar panels used to power the smart greenhouse system. This study aims to compare the electrical energy generated and consumed by solar panels with that of conventional…
The transformation of digital-based public services has encouraged PT PLN (Persero) to improve service quality through the PLN Mobile application as a medium for online customer services and complaints. This application is expected to facilitate customers in submitting complaints and obtaining service information quickly and efficiently. This study aims to analyze customer complaint management …
The development of digital-based public services has encouraged PT PLN (Persero) to present service innovations through the PLN Mobile application as a means of providing easier and more affordable electricity services for the public. This study aims to examine public service innovations through the PLN Mobile application at PT PLN (Persero) Palembang Customer Service Implementation Unit (UP3).…
This study implements and compares the performance of the IndoBERT deep learning model in analyzing the sentiment of Gojek application reviews using 3-class and 5-class schemes. Data was extracted via web scraping, yielding 66,709 raw reviews, which were then preprocessed and balanced into 23,115 (3-class) and 32,899 (5-class) datasets. Training was executed with an 80:10:10 ratio across six sc…
Two-phase flow is a flow involving two different fluids flowing simultaneously in a channel. The characteristics of two-phase flow are more complex than single-phase flow because they are influenced by phase interaction, phase distribution, superficial velocity, and friction occurring during the flow process. These interactions cause pressure distribution changes along the pipe and require furt…
The distribution of Direct Cash Assistance from Village Funds (BLT-DD) in Lubuk Seberuk Village is still carried out manually, which poses a risk of inaccuracies in determining eligible beneficiaries. Therefore, the village government requires a system that can support the selection process objectively based on predetermined criteria. This study aims to implement the K-Means and Simple Multi-At…
Nutrient concentration stability is an important factor in hydroponic cultivation because it affects nutrient absorption and plant growth. Manual nutrient management often leads to inconsistencies in nutrient concentration due to delays in monitoring and measurement errors. This study aimed to design and evaluate the performance of an Internet of Things (IoT)-based automatic Total Dissolved Sol…
The waste transportation system in Baturaja Barat and Lubuk Batang Districts, Ogan Komering Ulu Regency South Sumatra Province, is still inefficient. This is indicated by non-optimal routes, limited fleet availability, and a mismatch between vehicle capacity and waste volume. Under existing conditions, 45 temporary disposal sites (TPS) are served by two vehicles operating two trips per day; how…
The racutan harvesting method and manual sorting of coffee cherries often result in low quality and inefficiency in terms of time and labor. This occurs because unripe cherries are mixed with ripe ones, thereby reducing export quality, while manual color-based sorting is highly subjective. This study aims to design and evaluate the performance of an automated coffee cherries ripeness sorting ma…
Riverside residential areas in Ilir Timur II District, Palembang City, are characterized by high population density and face challenges related to household solid waste generation, limited waste management infrastructure, and low community participation. This study analyzes the spatial distribution of household solid waste generation and evaluates waste management performance using Geographic I…
Water pH stability is a crucial parameter in drinking water treatment as it affects the quality of distributed water. This study aims to analyze the relationship between operational chemical variables and distribution water pH using a machine learning approach based on linear regression applied to PDAM operational data. The dataset includes raw water pH, alum dosage, lime dissolution per hour, …