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Web-Based Decision Support System for Major Selection Using the SAW Method at Efata Ombarade Vocational School Ina Tena Bolo; Friden Elefri Neno; Emerensiana Dappa Ege
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.v1i2.12

Efata Ombarade Vocational High School is located in West Sumba Regency, East Wewewa District, East Nusa Tenggara Province. It is a vocational high school offering two majors: tourism and hospitality services business. Every new school year, this school routinely accepts new students, where each applicant chooses a major according to their preferences, which may not be in line with their abilities. To improve the quality of the school and its students, each new student admission involves a selection process based on criteria set by the school, such as National Examination Scores, Report Card Scores, written tests, interviews, and health checks. The current student registration and selection process has several weaknesses, including the time-consuming process of entering data into Microsoft Excel and the delay in obtaining results due to the lack of a specific application to support the calculations. In view of these issues, a system is needed to assist in the process of making faster, more accurate, and more objective decisions regarding student majors. One solution offered is the implementation of a Decision Support System (DSS) using the Simple Additive Weighting (SAW) method. This method works by assigning weights to each criterion used in the assessment, then calculating preference scores to determine the best alternative. The data used includes students' academic scores, particularly their National Examination results, as well as data on their interests. The use of the SAW method in the major selection decision support system is expected to reduce unfairness in assessment, as small differences in scores can be processed proportionally. With this system in place, schools can more easily determine the majors that suit students' abilities and interests. Additionally, this system can also speed up the major selection process, reduce the potential for manual errors, and provide more accurate and fair recommendations for each student.

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

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

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.

Application of Convolutional Neural Network Student Reviews for Lecture Facilities at Stella Maris University Sumba Emilia Kuba; Friden Elefri Neno; Karolus Wulla Rato
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.v2i1.21

The development of artificial intelligence technology, particularly in the field of deep learning, has opened up new opportunities in text-based data analysis, including student reviews of lecture facilities. This study aims to apply the Convolutional Neural Network (CNN) method in conducting sentiment analysis of student reviews of lecture facilities at Stella Maris University Sumba. Through this approach, it is hoped that the system can automatically and accurately classify student opinions into positive, negative, or neutral categories. The research data was obtained from surveys and student comments on various internal campus platforms. The data processing involved data preprocessing stages such as text cleaning, tokenization, stopword removal, and word embedding using the Word2Vec method. The CNN model was then built with an architecture involving an embedding layer, convolutional layer, max pooling, and fully connected layer to produce the final prediction. The test results show that the CNN model is capable of achieving a high level of accuracy in identifying sentiment polarity, with an average accuracy value of 90.2%. This performance proves that CNN is effective in extracting semantic features from unstructured student review texts. Analysis of the classification results also provides important insights into aspects of campus facilities that received positive and negative responses, such as classroom quality, internet network, and learning environment comfort. These findings can be used as a basis for universities in making strategic policies for the continuous improvement of lecture facilities. Thus, the application of CNN in student review analysis has been proven to support the evaluation and decision-making processes in data-driven academic environments.

Application of Rapid Application Development Method in WEB-Based Social Assistance Data Collection System in Lombu Village Erniati Lende; Friden Elefri Neno; Paulus Mikku Ate
Informatik : Jurnal Ilmu Komputer Vol 21 No 3 (2025): December 2025
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52958/iftk.v21i3.12260

The process of collecting social assistance data in Lombu Village has been done manually, which has led to various problems such as duplicate data, delays in reporting, and inaccuracy in targeting recipients. To overcome these problems, this study aims to develop a web-based social assistance data collection information system that can improve efficiency, accuracy, and transparency in data management. The system development method used is Rapid Application Development (RAD), which emphasizes speed in development and direct user involvement in the system design and evaluation process. The research stages include needs identification, system design with users, prototype development, system testing, and feedback-based evaluation. Data was collected through interviews, observations, and documentation of the ongoing data collection process. The result of this research is a web-based system that is capable of storing, updating, and displaying beneficiary data in a structured manner and can be accessed by village officials with a simple and easy-to-use interface. System trials show that the system can facilitate data management and accelerate the social assistance reporting process at the village level.

Audit of the SIKS-NG Application System for Poverty Data at the Social Services Office of Southwest Sumba Regency Emeliana Kaka; Friden Elefri Neno; Paulus Mikku Ate
Informatik : Jurnal Ilmu Komputer Vol 22 No 1 (2026): April 2026
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52958/iftk.v22i1.12615

The Next Generation Social Welfare Information System (SIKS-NG) is a national application developed by the Ministry of Social Affairs to manage integrated social welfare data (DTKS). This application is the main tool for local governments in collecting, verifying, and updating information on social assistance recipients. However, the effectiveness and reliability of its implementation in the regions is often not optimal, as evidenced by data inconsistencies, slow input processes, and limited user understanding. This study aims to audit the SIKS-NG system at the Social Service Office of Southwest Sumba Regency to assess the maturity level of the system and its compliance with good information technology governance principles. The research method used a qualitative descriptive approach with the COBIT 5 framework as the basis for the audit. Data was collected through observation, interviews, documentation, and questionnaires administered to system users and poverty data managers. The analysis was conducted on the domains in COBIT 5, namely Deliver, Service, and Support (DSS). The audit results showed that the maturity level of the SIKS-NG system was at a defined level (level 3), which means that the process was running according to procedure but was not yet fully documented and consistently monitored. Several aspects, such as data integration, user training, and information security, still need improvement. This research recommends strengthening IT governance policies, improving the quality of operator human resources, and optimizing real-time data-based monitoring and evaluation systems.

Data Mining for Analyzing Causes of Student Registration Delays at UNMARIS Using Decision Tree Agustinus Japa Ngara; Friden Elefri Neno; Paulus Mikku Ate
Informatik : Jurnal Ilmu Komputer Vol 22 No 2 (2026): August 2026
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52958/iftk.v22i2.12725

This study aims to analyze the factors that influence student registration delays at Stella Maris University Sumba (UNMARIS) by utilizing data mining methods using the C4.5 Decision Tree algorithm. The problem of registration delays often occurs and has an impact on the academic administration process and the orderliness of the lecture schedule. The C4.5 algorithm was chosen because it has the ability to process categorical and numerical data and produces decision rules that are easy to interpret. The data used is student data that includes attributes such as GPA, payment status, distance from residence, occupation, semester, and type of registration. The analysis process begins with the data pre-processing stage, calculation of entropy and information gain values, decision tree formation, and evaluation of results. The results of the study show that the payment status and GPA attributes have the highest information gain values, making them the dominant factors that influence the timeliness of student registration. The resulting decision tree model provides a good level of accuracy and is able to classify students into fast, medium, or slow registration categories. This study is expected to assist academics in formulating more effective policies.

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