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PeduliLindungi is an application from the Government of Indonesia that was made in response to the COVID-19 pandemic. Since its initial release in 2020, this application has received many updates with the goal of improving its overall performance. One of the basics of updating applications is to process the reviews given by users at the Google Play Store using sentiment analysis. The methods used this time are Naive Bayes Classifier (NBC) and Support Vector Machine (SVM). The sample data used were 300 reviews with positive feedback and 300 reviews with negative feedback, for a total of 600 user reviews. The results of the NBC algorithm calculations produce an accuracy of 76%, a precision of 76%, a recall of 82%, and an f1-score of 79%. As for the SVM algorithm, it produces an accuracy rate of 80%, a precision of 83%, a recall of 80%, and an f1-score of 81%.

The community's need for electric power is increasing and efforts to monitor electric power are to obtain information on the results of measurements of voltage and electric current. Based on the analysis of the measurement results, it can be concluded that (1) the current measurement is more optimal when using the SCT-013 current sensor, (2) the voltage measurement is more optimal when using the PZEM-004T voltage sensor, (3) the difference in measurements using the current sensor is greater than the difference with a voltage sensor.

A calendar is a system for naming a period of time and is known as a Calendar Date. The Gregorian calendar is used throughout the world including Indonesia, this calendar is calculated from the birth of Jesus from Nazareth, the calculation uses the pattern of the sun's movement. The Gregorian calendar has 12 months in a year and 7 days in a week. The Hijri calendar is a calendar system based on the circulation of the moon around the earth, called Hijiriah because of its first year when the migration of the Prophet Muhammad from Mecca to Medina took place in 662 AD. Due to the different intervals or repetitions between the day and the weton where the day will return to the same day after 7 days while the weton will return to the same weton after 5 days, it is quite difficult to find out the day and weton on a certain date that is hundreds or thousands of days apart from the current date. The Gregorian calendar program with weton is used to find out the day and weton of a date by specifying the month and year, a 1 month calendar will be displayed along with the day and weton

Honey is a natural liquid that contains a lot of sugar produced by bees (genus Apis) from flower nectar and has a sweet taste. Honey contains a multitude of benefits that are good for the body, including being a source of nutrients, improving body metabolism, anti-bacterial, and others. The purpose of designing the Honey Harvest Monitoring System with ARDUINO-based IOT is to help breeders maximize honey harvesting results. This study aims to design an intelligent system for controlling the temperature in bee hives, humidity in bee hives, and monitoring honey yields, measuring the temperature and humidity of the storage room using DHT 11 sensors, and monitoring honey harvest time using Load Cell sensors. The temperature and humidity controller in the cage uses a blower/fan. Sensor data will be processed using the Wemos D1 R1 microcontroller and then sent to an Android application via the internet network using a real-time Firebase database so that it can be accessed anywhere and anytime. The way this system works is that if the room temperature is >38 degrees Celsius, the blower/fan will turn on, and will turn off if the temperature is 40%, the artificial window will open and will close if the humidity is

Learning Media applications that use an Android-based material delivery system are expected to facilitate the delivery of material, where previously material was only found in books and the internet. Learning materials that only come from books reduce the reader's understanding because there are only text and pictures. This is what underlies the selection of the thesis title "Application of Android-Based Hydroponic Vegetable Growing Learning Media Application" in the hope that it can be a solution to help people who take part in the training understand material about growing vegetables by hydroponics.Hydroponics is an agricultural activity carried out by using water as a medium to replace soil. So, hydroponics can be interpreted as a work or management of water as a medium for plant growth without using soil media as a planting medium and taking the required mineral nutrients from a nutrient solution dissolved in water. The learning media application for growing hydroponic vegetables based on Android is limited to material on hydroponics, planting media and tools used in hydroponics, the steps needed for hydroponic farming, systems or techniques that exist in hydroponics.

Employees are Human Resources who are very important to achieve the company's vision and mission. Employees have a significant impact on the company's growth and ability to compete in the market. One way to create quality human resources, we need a system to determine exemplary employees. One way to determine employees by using a decision support system. Decision support systems are made to determine exemplary employees in a company based on predetermined weights. The method used in this system is Simple Additive Weighting because it has the advantage of being able to determine the weight value of each attribute. The results obtained from calculations using this system are the names of exemplary employees who have been sorted according to their ranking from the top to the bottom and this system can be used by companies to make it easier to give rewards or appreciation in determining exemplary employees.

Lot of problems arise in selecting scholarship recipients in a large number of submissions, the existence of several searches used, and the selection of files for scholarship applicants is still manual, so a system is needed that can speed up, help, and make it easier in the decision-making process to lighten work. student section. In supporting decisions this system will use the Naïve Bayes Classifier Method to determine what is acceptable and not acceptable. The NBC method can analyze and make improvements to old data, and the resulting data will provide simpler probability values that can later be used to make decisions. From the results of the research that has been carried out, it can be realized that the application of the data mining algorithm using the Naïve Bayes Classifier can be carried out to select scholarship recipients at Stikubank University Semarang. The result of the selection of Unisbank Semarang scholarship recipients is the accuracy value. 72% of the 135 data which is divided into 100 training data and 35 test data.

Pulmonary Hospital dr. Ario Wirawan Salatiga is a health service institution that organizes plenary health. In the era of the Covid-19 pandemic, dr. Ario Wirawan experienced a significant increase so that during administration the patient experienced a long waiting time. The preparation of this research aims to develop an independent registration system so that it can manage long and ineffective queues. This self-registration platform system uses a web-based FIFO (First in First Out) algorithm. The system development stage is the analysis, design, design and testing stage. The method for developing an independent registration platform system uses the prototype method according to needs. While the coding stage of this system was built using the Python programming language with the PostgreSQL database. With the existence of an independent registration platform system, it is hoped that the hospital and patients can be facilitated in the examination registration process and managing patient data at the Pulmonary Hospital dr. Ario Wirawan Salatiga.  Keywords: FIFO, Automated Pavement System

Media information related to the internship is still difficult to obtain, making it difficult for students and students to search for internships. Information about apprenticeships is sometimes incomplete in providing the required requirements as well as unclear registration methods. Sometimes there are students and students who don't have a place for paid internships according to their expertise and so far. This study aims to build a system that can be utilized to provide convenience for students and students in finding information on paid internships and searching data using sequential searching methods. The sequential searching method is used to search for the status of paid internship applications whether accepted or rejected based on the internship application number. The sequential searching method in this study was used to search for the status of paid internship applications whether accepted or rejected based on the internship application number. From the results of testing the data search as much as 15 times out of 350 data using the sequential searching method, the average value of the search time is 15.336 ms, the fastest search process is 10.982 ms and the longest search process is 19.634 ms.

Every sale of goods, sales report the number of goods sold to the warehouse admin. Because of the many types of goods being sold, sometimes the warehouse admin forgets about which items are almost out of stock and should be ordered. The aim of this research is to produce a goods ordering system with the EOQ and ROP control methods to overcome the occurrence of stockouts. The author uses the research object of employees who work at PT Kimia Farma Plant, namely sales, warehouse department, admin and HRD. With this system, the warehouse admin can see the number of items in real time. The EOQ method generates a report on the number of economic purchases (EOQ), the total costs that must be incurred by the company to reorder an item, the duration of the EOQ, up to the reorder point (ROP).

The many types of medical devices available at PT. Romora Jaya Pratama makes customers confused in determining which medical device to buy. One of the solutions is to use a recommendation system that can help customers get the medical devices they want with collaborative filtering. This study aims to create a product recommendation system that can provide medical device product recommendations at PT. Romora Jaya Pratama with a collaborative filtering method based on a numerical rating, namely rating 1 which indicates the customer only sees the product and rating 2 indicates the customer buys the product. Collaborative filtering recommendations on PT. Romora Jaya Pratama can provide 3 product recommendations and best seller recommendations based on the most sales data in the current month and year as many as 3 products.

Selection of the best employees is a semi-structured matter that can be scheduled every month or year. It is not uncommon for companies to determine the best employees not in accordance with the company's assessment. Kean shops still use the manual method and often do not meet the criteria set by the company. By making the best employee decision support system in a grocery store using the simple additive weighting method. assist managers in making the best employee decisions and admins in editing, deleting and adding values in each of the existing criteria and directly connected to the system database. This system was developed using the Visual Studio Code website, PHP, CSS, XAMPP V3.3.0 and MySQL. The method used in this decision support system is simple additive weighting (SAW). With this website, decision making is more structured and value data for each employee can be stored in a database. The results of this decision support system will simplify the process of determining the best employees and this system does not need to use manual calculations and is far more efficient.