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Application of the KNN method to check soil compatibility using a microcontroller for android-based banyuwangi citrus fruit plants
Get PDFThe city of Banyuwangi needs a touch of information technology in the agricultural sector, namely in the process of planting orange fruit, because orange fruit planting is carried out continuously to meet export needs. Citrus fruit planting is sometimes carried out without paying attention to the existing soil nutrient content, this condition can result in less than optimal harvest results. The research was carried out by creating a soil nutrient detection application with the aim of providing information to farmers about the soil nutrient content including nitrogen, calcium, phosphorus, pH and moisture resistance before planting citrus fruit. From the results of trials conducted by researchers with farmers based on various types of soil used as trial data, the information shows a match of 89.6%. The results of the research produced an Android-based soil nutrient checking application that farmers can use to check soil nutrients when planting citrus fruit. In conducting the research, the researcher created an application by applying the KNN method and utilizing a microcontroller to input the data. By combining methods and tools, microcontrollers can assist the implementation process so as to provide information in the form of soil suitability for planting citrus fruit based on the nutrient content of the soil being examined. The contribution made from the research results is the application of a KNN method which is used to check soil nutrients so that it can maximize the results of the detection carried out. Meanwhile, another contribution is the use of a tool in the form of a microcontroller which is used to automatically input data which can be obtained using the Bluetooth service in the soil nutrient check application
Application go-sport as a solution to search information on facilities, places, partners, and sports events for students
No full textSport is a physical and mental activity that is beneficial for people to maintain the body and develop the quality of health. This makes exercise an activity that needs to be done for everyone to maintain their stamina. However, the lack of information about places, facilities, partners, and sports events is a strong reason in terms of reducing student motivation in carrying out sports activities themselves. The purpose of this research is none other than to design an application that can help students get all sports information. These things are none other than to foster a strong desire to do sports activities. Through technology smartphone which has been owned by the wider community, this research creates a solution by designing an application called "Go-Sport". This study uses the "Design Thinking" method, which focuses on finding and understanding user needs to obtain an optimal solution in the form of the results of the features to be made. From this research, a design or prototype of the "Go-Sport" application was produced which is ready to be implemented and tested on users
Global recession sentiment analysis utilizing VADER and ensemble learning method with word embedding
Get PDFThe issue of the Global Recession is hitting various countries, including Indonesia. Many Indonesians have expressed their opinions on the issue of the global recession in 2023, one of which is from Twitter. By understanding public sentiment, we can assess the impact felt by the public on the issue itself. Sentiment analysis in this research is a form of support to evaluate Indonesia's sustainability in dealing with the issue of Global Recession in accordance with the Sustainable Development Goals (SDGs). However, in previous research, it is still rare to find a model that has good performance in conducting Global Recession Sentiment Analysis. Therefore, the purpose of this research is to propose a machine learning model that is expected to provide good performance in sentiment analysis. The existing sentiment dataset is labeled with the Valence Aware Dictionary for Social Reasoning (VADER) algorithm, then an Ensemble Learning method is designed which is composed of Logistic Regression, Decision Tree, Random Forest, and Support Vector Machine (SVM) algorithms. After that, the Countvectorizer feature extraction with N-Gram, Best Match 25 (BM25), and Word Embedding is carried out to convert sentences in the dataset into numerical vectors so as to improve model performance. The research results provide a more optimal accuracy performance of 95.02% in classifying sentiment. So that the proposed model successfully performs sentiment analysis better than previous research
Strategy for improving pharmaceutical services based on SNARS edition 1 at the "X" hospital pharmacy installation in tomohon city
No full textAccreditation is a process of evaluating a hospital by KARS to improve patient safety and evaluate the quality of a hospital. This research was conducted at the "X" Hospital Pharmacy Installation in Tomohon City. To find out the level of conformity of the seven Pharmaceutical Services and Drug Use standards against the 1st Edition of 2018 National Hospital Accreditation Standards and problem solving strategies using a priority scale with the matrix method. The research design is a non-experimental research. analyzed descriptively quantitative and qualitative. The research data were processed in tabular form and repaired with a priority scale of problems using the matrix method. The conformity level of Pharmaceutical Services and Drug Use in the "X" Hospital Pharmacy Installation has not fully met the National Hospital Accreditation Standards. Improvement strategy based on priority scale of problems using the matrix method: Pharmaceutical Services and Drug Use Point 5 Preparation and delivery, Point 4 Prescription and copying, Point 3 Storage, Point 7 Monitoring drug effects, Point 6 Drug Administration, Point 1 Organizing and Point 2 Selection and procurement. Pharmaceutical services in the Pharmacy Installation as a whole are good but there are several points that have not met the standards and must be improved
M/M/c/K state-dependent models for controlling the pilgrims and the design of hajj facilities
Get PDFIn Hajj overflow of pilgrims causes queuing delay and in turn, is controlled by the capacity of facilities. The concept of flow control can be used to avoid the building of extreme queues. Thus, in this paper, a new analytical tool for measuring the performances of pilgrim movements in Hajj has been developed. The application of M/M/c/K queuing models for controlling the pilgrims and the design of facilities in Hajj is discussed. The paper also used some data on the flow of pilgrims for implementing the use of M/M/c/K queuing models for the above mentioned controlling and design. The result show that, the average number of pilgrims waiting in queue almost zero, because maybe most of the pilgrims only spend least then 12 second in the system
Apache web server security with security hardening
Get PDFWith the internet network, we can quickly get information very quickly. The information we get is not changed by people not authorized to access the system or platform. Apache is a web server often used to connect users with websites where the information is located. The more users there are, the more crimes there will be when attacking the web server by irresponsible people. Due to limited time for web administrators, to improve the security of the Apache web server, an intrusion detection system is needed that can help monitor network traffic and detect the type of attack that is occurring and then forward the notification to the mobile application in real-time, because attacks can occur at any time. Intrusion Detection is one implementation of the security hardening method for the software hardening category. The results of this research will be that the system will detect intrusion attempts based on the rules created, and users will receive notifications to the Telegram application and can see details of incoming reports such as the attacker's I.P. address, description of the intrusion, name of the security hole, time of intrusion, and payload used
Enhancing IoT Network Reliability: Evaluating LoRa Module Susceptibility to Interference
Get PDFThe Internet of Things (IoT) is gaining popularity, leading to the widespread use of remote communication modules (LoRa), known for their energy efficiency and wide coverage range. However, as the number of LoRa modules used in IoT networks grows, the possibility of interference from third-party devices operating at the same frequency becomes a concern. This study aimed to examine the vulnerability of LoRa modules to electromagnetic interference (EMI) when transmitting text messages and images. Radiation emission conditions were measured in the test area for evaluating LoRa module performance, and susceptibility to interference was assessed under non-line-of-sight (NLOS) conditions. The study's outcomes reveal that interference with LoRa transmitters has no noticeable effect on the range within a distance of up to 50 meters. In contrast, the interference power required to disrupt the LoRa receiver decreases with increasing distance. Additionally, interference from frequencies outside the designated LoRa working frequency (915 MHz) has no discernible impact on module performance. Introducing a delivery delay check demonstrates consistent performance even in interference. These findings deepen our understanding of the susceptibility of LoRa modules to tampering, emphasizing the importance of implementing effective disruption management strategies in IoT deployments. By considering the potential impact of electromagnetic interference (EMI) on LoRa modules, developers can design more robust IoT networks, ensuring reliable communication and improved system performance. Overall, the research focuses on the interference characteristics of LoRa modules, providing insights for developing resilient and interference-resistant IoT solutions. It underscores the necessity of addressing interference issues to ensure the reliable operation of IoT devices across diverse environments
Optimization of support vector machine using information gain and adaboost to improve accuracy of chronic kidney disease diagnosis
Get PDFToday's database is growing very rapidly, especially in the field of health. The data if not processed properly then it will be a pile of data that is not useful, so the need for data mining process to process the data. One method of data mining used to predict a decision in any case is classification, where in the classification method there is a support vector machine algorithm that can be used to diagnose chronic kidney disease. The purpose of this study is to determine the level of accuracy of the application of information gain and AdaBoost on the support vector machine algorithm in diagnosing chronic kidney disease. The use of information gain is to select the attributes that are not relevant while AdaBoost is used as an ensemble method commonly known as the method of classifier combination. In this study the data used are chronic kidney disease (CKD) dataset obtained from UCI repository of machine learning. The result of experiment using MATLAB applying information gain and AdaBoost on vector machine support algorithm with k-fold cross validation default k = 10 shows an accuracy increase of 0.50% with the exposure of the result as follows, the support vector machine algorithm has accuracy of 99.25 %, if by applying AdaBoost on the support vector machine has an accuracy of 99.50%, whereas if applying AdaBoost and information gain on the support vector machine has an accuracy of 99.75%
Profitability performance of full-fledged islamic banks and economic growth in malaysia: a panel data approach
Get PDFThis research aims to investigate the influence of return on assets, return on equity and net profit margin on economic growth in Malaysia. The secondary data for this study were collected from annual reports of the five full-fledged Islamic banks in Malaysia for six years (2016-2021). This study employs panel data regression by indicating a random effect model as the best estimator. The findings of the panel regression analysis show return on assets (ROA) and net profit margin (NPM) of full-fledged Islamic banks in Malaysia have positive and significant effects on economic growth. Therefore, this proves solid evidence that Islamic banking institutions and their financial performances are one of Malaysia's economic growth channels. It will motivate many people to go for Islamic banking rather than conventional ones, given its contribution to the country's economic growth. From another perspective, Islamic banks too will inspire and be taken into consideration by the conventional banks towards opening Islamic windows to meet Malaysian's growing demand
Effect of fuzzy logic controller on voltage stability of parallel boost converter configuration
Get PDFAn increase in electricity load causes a change in grid voltage and current, causing losses to customers. In addition, the source of electricity from fossil energy has also decreased. Therefore this study aims to provide a stable DC voltage source from solar panels, with a Fuzzy Logic Controller (FLC). The proposed method is to design a boost converter in parallel with its output. The boost converter is used to increase the DC voltage from 24 V to 48 V. In this study, FLC is used to adjust the output voltage of each boost converter. This is so that if one of the boost converters fluctuates, the other boost converters will supply a voltage according to the load voltage. The results showed that the FLC can adjust the boost converter output voltage changes. Whereas when using the PI (Integral Proportional) controller, a voltage spike occurs in the range of 0 seconds to 0.6 seconds and the voltage stabilizes within 0.6 seconds to 1 second