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Performance measurement implementation on the smart fisheries village website using pagespeed insight
Full text linkWebsites have become the primary way organizations and individuals to communicate, provide information, and offer daily services. The purpose of creating the Smart Fisheries Village (SFV) website was to enhance the performance and quality of the user experience by measuring and optimizing image sizes using Google's tools, specifically Google PageSpeed Insight. We monitored and analyzed the implementation performance to ensure faster loading times without compromising visual quality. The implementation results showed significant improvements in the SFV loading speed, leading to a more satisfactory user experience. To identify images that slow website loading, we used data from PageSpeed Insight. After implementing improvements, we distributed a questionnaire to users to evaluate the development results. The results of the questionnaire revealed a significant increase in user satisfaction with the loading speed and quality of the user experience of the Bangsring Smart Fisheries Village (SFV) website. These findings provide valuable information for the continued development and optimization of website performance in the future. Therefore, this research makes a valuable contribution to improving the performance and user experience of the Bangsring Smart Fisheries Village (SFV) website
Implementation of text summarization on indonesian scientific articles using textrank algorithm with TF-IDF web-based
Full text linkThe development of information technology has significantly changed how information is accessed, necessitating readers to absorb content efficiently and make quick decisions. To address this challenge, this research developed a text summarization system specifically for Indonesian scientific articles using a web-based implementation of the TextRank and TF-IDF algorithms. TextRank was selected for its capability to identify key sentences without requiring training data, while TF-IDF was employed to weight words based on their frequency within the document. The dataset comprised 100 scientific articles in Indonesian from the Unimed Kode Journal, covering the years 2022-2024. The summarization process included several critical stages: text preprocessing, TF-IDF weighting, cosine similarity calculation, and sentence ranking. The resulting summaries were rigorously evaluated by language experts and website specialists using a Likert scale to assess both the quality of the summaries and the usability of the system. The findings demonstrated that the system effectively generated summaries that retained essential information from the original articles, with the highest accuracy observed at a 50% compression rate (88.533%). Additionally, the system achieved good performance at 40% compression (85.133%) and 30% compression (81.26%). The web-based system allows users to input article text and quickly obtain a summary, offering a practical tool for researchers and readers to efficiently comprehend academic content
Comparison of supervised machine learning methods in predicting the prevalence of stunting in north sumatra province
Full text linkStunting is a growth and development disorder in children caused by chronic malnutrition and repeated infections. Stunting has significant short- and long-term impacts and is one of the major health issues currently faced by Indonesia. The prevalence of stunting in North Sumatra Province is 18.9%, and the provincial government aims to reduce this prevalence to 14% by 2024. This study aims to compare the performance of several supervised machine learning methods in predicting stunting prevalence in North Sumatra Province. The data used is secondary data from 2021 to 2023, covering 33 districts/cities in the province. This study evaluates three machine learning models: Support Vector Regression (SVR), Decision Tree, and Random Forest, using evaluation metrics such as Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE). The analysis results show that Random Forest provides the most accurate and consistent predictions, with lower MSE, MAE, RMSE, and MAPE values compared to the other models in most areas. Decision Tree yields good results in some regions but tends to produce higher errors in certain cases. SVR exhibits a more varied performance, with some regions showing higher prediction errors. Overall, Random Forest is the superior model for predicting district/city-level data, although model selection should be tailored to the data characteristics and application need
Impact of sales promotion and product quality on zoya customer purchase interest
No full textThis research analyses the influence of Sales Promotion and product Quality on Purchase Interest through Brand Awareness. This is a significant concern because product quality is an important thing that every company must strive for if it wants to compete in the market. The object of this research is Zoya Kudus. The sampling technique used purposive sampling with the rule of thumb formula to produce a sample of 120. The analysis tool in this research used SEM-AMOS. This research shows that Sales Promotion and Product Quality have a positive and significant effect on Brand Awareness. Sales Promotion and product quality have influenced purchase Intention. Sales promotion on purchasing interest through brand awareness influences partial mediation. Product quality on purchase intention through brand awareness has a mediating influence, but the influence is weak
Comparison of phenolic total ethanol extract of 70% and 96% carrot leaves and antibacterial activity test against Staphylococcus aureus
No full textCarrots (Daucus carota L.) are a plant that is widely used by the community, especially the tubers, while the leaves are not widely used and are only used as waste or animal feed. Carrot leaves contain secondary metabolites such as phenols, flavonoids, tannins, saponins, alkaloids, and steroids. Phenolic compounds are secondary metabolite compounds that are most abundant in nature. This compound can be used in the pharmaceutical world as an alternative treatment from natural ingredients, one of which is as an antibacterial. Staphylococcus aureus bacteria can cause skin infections such as boils. If it enters the bloodstream, it can cause meningitis or lung infections. This study aims to determine the total phenolic content in carrot leaves extracted with 70% and 96% ethanol solvents and to determine their antibacterial activity against Staphylococcus aureus. Carrot leaf extract is obtained by the maceration method. Total phenolic content was calculated using the Follin-Ciocalteau method. The antibacterial activity test was carried out using an excellent method. The research results showed that the yield of 70% ethanol extract was 17.235% and 96% ethanol extract was 16.053%. The results of testing the phenolic content of 70% ethanol extract of carrot leaves were 44.586 mgGAE/g and the phenolic content of 96% ethanol extract was 34.939 mgGAE/g. The results of the antibacterial activity test of 70% ethanol extract of carrot leaves had an average measurement of the inhibition zone at concentrations of 20%, 30% and 40%, namely 0.175 cm, 0.226 cm and 0.274 cm
Air Humidity Measurement Through Solar Panel
Full text linkIn this work, we will examine the placement of solar panels at certain heights to obtain optimal efficiency. To prove the effect of altitude and humidity, the authors conducted tests in areas with different altitudes and different temperatures, namely in the areas of Medan and Berastagi cities, where the city of Medan is located at an altitude of 2.5-7.5 meters above sea level, and the city area of Berastagi is higher, namely at an altitude of 1220 meters above sea level. The distance between the two areas is around 70 km and can be reached in approximately 2 hours of travel. With different altitudes and different climates, the authors are very interested in studying and researching how the effectiveness of solar panels is at different altitudes and humidity level and how it affects the Medan area, which has a tropical climate, and Berastagi, which has a cold climate
Character-based leadership in improving guest service quality at premiere hotel tegal
No full textA leader has good character, unique qualities, habits and personality that make him the characteristics of a leader. Leadership is the process of directing and influencing the activities of people in a group. Leadership means involving other people, especially subordinates or staff who are led. A leader's problems usually arise from satisfaction with the quality of service provided to hotel guests. A leader must be able to adapt to surrounding circumstances and control them. The aim of this research is that a leader can develop leadership qualities that will help adjust the quality of hotel guest services and make the value of the hotel known to more people. Service quality includes the punctuality provided by the hotel to guests in accordance with expectations to meet needs. The method used in this article is qualitative. The results of this research are that characters-based leadership are able to improve the quality of service to hotel staffs to own the sense of self-confidence needed to provide quality hotel services to guests
Application of Passive Infrared Sensor to Improve the Quality of CCTV in Maintaining Home Security
Full text linkArtificial intelligence, or AI, is a simulation technology that runs through human intelligence demonstrated by machines or tools. Artificial intelligence can overcome and provide a sense of comfort, especially in the application of CCTV devices that use this passive infrared sensor method. This method can detect thieves or people moving in the area of the house where CCTV is installed, by detecting human objects using IR filters. If it detects an object that has the minimum temperature possessed by humans, it will immediately direct the alarm indicator. With the existence of CCTV that applies AI, it is hoped that human life will be safe, and crime will be reduced in an area, especially quiet areas with high crime rates. The application of Passive Infrared Sensor (PIR Sensor) in this anti-theft CCTV tool can detect and be able to work with a high level of accuracy
Implementation of integrated temperature, humidity, and dust monitoring system on building electrical panel
Full text linkThis research aims to develop and implement an electrical power monitoring system at the Sub Sub Distribution Panel (SSDP) in the Building. The system is designed to monitor power usage in real-time, provide accurate information on energy consumption, and detect potential energy waste. The methodology used includes hardware and software design. The hardware consists of current and voltage sensors connected to a microcontroller. The data collected by the sensors is then transmitted via Wi-Fi network to the server for analysis. The software uses an Internet of Things (IoT) platform that displays the data in the form of graphs and tables. The implementation shows that the system is capable of monitoring power usage with a high degree of accuracy. The sensors used, namely PM2100 for voltage, SHT20 for temperature and humidity, and GP2Y101AU0F for dust concentration, proved effective in generating accurate real-time data. Based on the test results, the voltage measurement error with the PM2100 was only 0.035%, while the current measurement resulted in an error of 0.48%. The SHT20 sensor recorded an error of 2.4% for temperature and 1.0% for humidity. Dust measurements with the GP2Y101AU0F sensor had a very small error of 0.02%. These results indicate that the tested device has a sufficient level of precision for electrical power and environmental monitoring applications
Design of smart baby incubator for low-birth-weight newborns
Full text linkThe newborns mortality rate in Indonesia is still quite high, indicated by the neonatal mortality rate (AKN) of 15 per 1000 Live Births, where the target is only below 10 per 1000 Live Births. This mortality rate can be caused by Low-Birth-Weight (BBLR) cases that leads to death. One form of handling for these cases is using a Baby Incubator for intensive cares, which requires monitoring manually and requires the presence of a nurse around the baby incubator so that the condition of the baby incubator room remains stable. Several studies have been conducted and produced a smart incubator system to address these shortcomings. However, most of the smart incubators only focused on monitoring the condition of the incubator room without observing the condition of the baby inside. Based on this, a study was conducted that focused to producing a smart baby incubator that is capable of real-time monitoring of of room conditions (temperature, humidity, and oxygen levels) and baby conditions (temperature, heart rate, oxygen saturation, baby crying, and baby visuals) by applying the Internet of Things (IoT). The results of this study have the largest number of parameters monitored compared to previous studies