Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Journal of Computing Innovations and Emerging Technologies
Alexander Adis
University of Stella Maris Sumba
Computer Science & IT

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Geographic Information System for Mapping Solar Power Plants in Lolo Wano Village Haryance Umbu Dasa; Friden Elefri Neno; Alexander Adis
Journal of Computing Innovations and Emerging Technologies Vol. 1 No. 2 (2025): Volume 1 No 2
Publisher : novamindpress

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64472/jciet.v1i2.13

Abstract

The use of renewable energy, particularly solar power plants (SPPs), is one of the strategic solutions to overcome limited access to electricity in rural areas. Lolo Wano Village, as one of the villages with high solar radiation intensity, has great potential for SPP development. However, the planning of SPP construction is often hampered by a lack of integrated spatial data related to residential locations, public facilities, and land availability. This study aims to design a Geographic Information System (GIS) capable of mapping the potential and determining strategic coordinates for SPP construction in Lolo Wano Village. The research method was conducted by collecting primary data in the form of GPS coordinates of residents' houses, schools, village offices, and vacant land with potential for use. Secondary data included administrative maps, topographic maps, and solar radiation data from BMKG and global sources. The data was processed using QGIS/ArcGIS software through the stages of map digitization, spatial overlay, and land suitability analysis based on criteria of solar radiation, accessibility, land area, and proximity to residential areas. The results of the study show that the use of GIS can produce digital maps of the distribution of existing solar power plant locations as well as recommendations for new locations suitable for development. This system not only assists village governments in making decisions on renewable energy development, but also supports equitable access to electricity for the community. Thus, the application of GIS in mapping solar power plants in Lolo Wano Village plays an important role in supporting sustainable development and improving the quality of life of the local community.
Sentiment Analysis of Customer Satisfaction with the Services of the Waikelo Port Class III Administrative Office Using the CAN Order Method Kamalia Ahmad; Friden Elefri Neno; Alexander Adis
Journal of Computing Innovations and Emerging Technologies Vol. 2 No. 1 (2026): Volume 2 No 1
Publisher : novamindpress

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64472/jciet.v2i1.14

Abstract

This study aims to analyze customer satisfaction levels with the services provided by the Waikelo Port Class III Administrative Office using the CAN (Cumulative Agreement Normalized) Order method and sentiment analysis. Data was collected from customer comments on service aspects such as speed of service, staff friendliness, facilities, and registration procedures. The comments were processed through text pre-processing, including case folding, tokenization, stopword removal, and stemming, then analyzed using the VADER Sentiment Analyzer to obtain positive, neutral, and negative scores. These sentiment values were used as input to calculate the CAN value, which determines the satisfaction ranking of each alternative objectively. The results show that service alternatives focusing on speed and staff friendliness have the highest CAN value of 0.83, while alternatives related to facilities and queues have the lowest CAN value of 0.33, indicating aspects that need improvement. Evaluation of the consistency of the CAN ranking with the respondent ranking using Spearman Rank Correlation yields a value of 0.92, indicating a high degree of conformity between the CAN method and customer preferences. This analysis proves that the integration of sentiment analysis and the CAN Order method can provide a quantitative picture of customer satisfaction levels and serve as a basis for practical recommendations to improve service quality.
Co-Authors Friden Elefri Neno Haryance Umbu Dasa Kamalia Ahmad