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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.

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.

In general, the determination of supervisors at a university is determined by the department. The determination of supervisors is more on random factors or students who determine lecturers without considering the lecturers' expertise in the research to be carried out. The procedure for determining supervisors in this way will cause problems such as less than optimal results of the final assignment because the supervisor is not exactly selected. The final task supervisor has an important role because it has the responsibility to ensure that students are able to prepare the final assignment properly so that the final assignment is ready to be tested and qualified. In an effort to overcome the problem of inaccurate selection of supervisors, recommendations can be made based on expertise or research that has been carried out by supervisors using the con tent - based filtering method.

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%.

This data mining association processes 1224 Gamefantasia ticket redemption transaction data. The goal is to find a pattern of association between goods as a recommendation for structuring the display of goods at the cashier counter and increasing ticket exchange transactions. Modeling uses a comparison of two algorithms, namely the Apriori algorithm and FP-Growth. The data analysis method with the CRISMP-DM method is then processed by RStudio software. The results of the study with the same parameters support 0.02 and confidence 0.1 FP-Growth algorithm formed 53 rules, the strength of the association rule 6.2%, the accuracy was1245%. Whereas the Apriori algorithm forms only 12 rules, the strength of the association rules is 2.1% and the accuracy is 7.8%. Thus, it can be concluded that the use of the FP-Growth algorithm has better results than the Apriori algorithm because it has the highest accuracy in finding transaction patterns.

Data Processing PT. Daya Cipta Karya Sempurna regarding the entry and exit of goods at PT. Daya Cipta Karya Sempurna still uses a semi-manual system where when the ordered goods arrive, the items will be recorded in the warehouse using Microsoft Excel. Likewise with the items that come out are also recorded in the warehouse using Microsoft Excel. In addition, this information only exists in the warehouse so that when other parts or want to know the inventory of existing goods, other parts cannot access it directly. The section must ask the warehouse to find the state of the desired supply and must wait to get the answer. As a solution to the problems above, it takes an inventory system at PT. Daya Cipta Karya Sempurna Power that can be used to manage goods group data, goods data, user data, incoming goods data and outgoing goods data as well as display reports

Internet Service Provider (ISP) is a company that provides internet services. The ISP network is a national and international scale network so that customers can be connected globally. There are many factors that must be considered in selecting an ISP, making choosing an ISP a difficult task. Factors that influence ISP selection include cost, bandwidth, coverage area and type of connection. ISP providers offer a variety of advantages that make it difficult for customers to choose the right provider. The method applied in determining ISP providers is the AHP method used for weighting criteria while the WASPAS method is used for evaluating ISP providers with the criteria of cost, bandwidth, coverage area and type of connection. The rating process using the WASPAS method uses four assessment criteria, namely cost with a weight of 0.54, bandwidth with a weight of 0.38, coverage area with a weight of 0.05 and type of connection with a weight of 0.03. The final results of the ranking show that ISPs with low cost, large bandwidth and wide coverage areas will make these ISPs the best choice, this is because the criteria for cost, bandwidth and coverage area have high weight. Conversely, ISPs with high costs and small coverage areas will be the worst choices in the ranking list.

Digital marketing is an important part of promoting a business owned by an individual or an organization. Marketing is essential for startups to stay competitive and sustain their products on the market. For people who are computer novices, this is a challenge. One of them is the proprietor of Keripik Orang Kekinian, a chips company in Bekasi, Indonesia, which has limited sales capabilities for its product. Researchers help firms choose the best social media channels for promoting their products in order to overcome these difficulties. The methods involved are Simple Additive Weighting (SAW) and Analytical Hierarchy Processing (AHP). The results show that Instagram is the best social media platform for advertising products. The result obtained are expected to help business owners increase sales.

Agriculture is an activity of managing biological natural resources with the help of technology, capital, labor and management to produce agricultural commodities which include food crops, horticulture, plantations and or livestock in an agro-ecosystem. Most of the Indonesian people's livelihoods are as farmers, so the agricultural sector is very important to develop in this country. Poktan Beno Raharjo in Glonggong Village, Madiun Regency has a problem, namely the absence of an information system that is useful for managing agricultural production data, managing farmer data, managing village granary data, recording planting of food crops and horticultural crops, managing subsidized fertilizer assistance. The mobile-based Poktan information system was created using the dart programming language with the flutter framework using the waterfall method and testing using the black box testing method.

The government that is running at this time is also not spared from public comments on Twitter, especially regarding the increase in subsidized fuel. There are at least 4 impacts felt by the community when subsidized fuel prices increase, namely a decrease in people's purchasing power, an increase in basic prices, an increase in the unemployment rate and an increase in the poverty rate. This study aims to implement the Naïve Bayes Classifier and KNN algorithms in classifying a tweet of an increase in subsidized fuel so that it can be identified as belonging to a class with positive or negative sentiments. The data used in this research are 560 tweets. The data is divided into 2, namely 500 training data from tweet data and 60 test data from tweet data stored in xlsx format. The results of the accuracy with the Naïve Bayes Classifier algorithm is 85% while the KN algorithm is 86.8% so it can be concluded that the KNN method is better than the Naïve Bayes Classifier method in classifying tweets of increases in subsidized fuel. Keywords: Subsidized BBM, Naive Bayes, KNN

The Semarang Police in the SPKT (Integrated Police Service Center) field has functions which include serving complaints from people affected by criminal acts, namely reports of fraud, robbery, embezzlement, theft, loss of valuables and so on. The high number of public complaints at this time so that people really need fast service in the SPKT section. SPKT is the spearhead of police services in providing services to the community to improve and facilitate services, an online complaint application is needed. This research is only used for reporting public complaints about traffic, crime and drugs that occur in Semarang district at the Integrated Police Service Center (SPKT) Semarang Police. The search method is only used to find the complaint number using the sequential search method. The results of the study show that the application of public complaints in the Semarang Police SPKT section makes it easier for the public to submit complaints to the Semarang Police regarding traffic, crime, drugs and searching for complaint numbers using the sequential search method

Kos merupakan tempat tinggal sementara bagi beberapa orang, salah satunya mahasiswa atau karyawan yang tinggal jauh dari tempat asalnya. Banyak faktor yang harus diperhatikan dalam memilih kos yang sesuai dengan keinginan, membuat memilih kos yang sesuai dengan keinginan menjadi hal yang sulit. Faktor-faktor yang mempengaruhi pemilihan kos antara lain harga sewa kos itu sendiri per bulan atau per tahun, fasilitas yang tersedia di kos, jarak dari kos dan luas kamar. Penelitian ini bertujuan untuk mengembangkan sistem pendukung keputusan pemilihan kos di kota Semarang dengan menggunakan metode AHP-WASPAS. Hasil rekomendasi dari pemilihan kos dengan kriteria tipe putri dengan AHP diperoleh bobot biaya 0,79, bobot luas kamar 0,08, bobot jarak 0,11 dan bobot fasilitas 0,02, rekomendasi untuk kos adalah kos Maridjah. 3. Kos Maridjah memiliki skor tertinggi karena memiliki harga terendah dimana kriteria biaya memiliki persentase bobot tertinggi. Perpaduan keunggulan biaya dan keunggulan bobot memberikan Kos Maridjah nilai yang tinggi.

Implementation of Distance Learning (PJJ) is effective in the teaching and learning process during the pandemic. This is supported by Unisbank students in mastering information technology. PJJ technology, also known as e-learning, is a bridge between lecturers and students in the process of meeting in class into a meeting process in cyberspace. E-learning becomes ineffective when the demand for e-learning usage is high, causing server overload or crashes. When the e-learning server is overloaded, all parts that are usually connected and interrelated, such as lecturers, students, administration and others, become disconnected. The importance of monitoring the e-learning server to keep the e-learning load under control, and the server that has a lot of load will be divided so that e-learning will run smoothly and not be overloaded. Monitoring the Elearning server with the Least Connection method is applied to the Unisbank e-learning server and makes e-learning not overloaded. The results of the load balancer workload test with 1000 connections, the resulting response time is 0.2 ms, the workload is 5000 connections, the response time is 0.2 ms and the workload is 10,000 connections, the resulting reply time is 0.2 ms.