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Many manufacturers create numerous types of automobiles with diverse advantages ranging from engine capacity, type of design, and fantastic features to their products in response to the large number of enthusiasts and requests from the general public. Consumers are frequently perplexed while making decisions regarding brand, model, type, price, engine capacity, transmission, year of manufacturing, fuel capacity, and other aspects of the car's benefits due to the growing range of options available. Brand, model, type, price, engine and transmission size, year of production, and gasoline capacity are all factors in choosing a car. The MOORA system only recommends vehicles from the three well-known manufacturers Honda, Toyota, and Suzuki. A Honda CRV with a value of Y_i = 0.225 was recommended as the first recommendation, followed by a Honda BRV with a value of Y_i = 0.211, and a Honda Brio with a value of Y_i = 0.204. The recommendations were based on Honda brand criteria and CVT transmission.

The coffee shop business is very lively and in great demand some circles of society, wrong one of them is Kusuma Kopi Semarang. Kusuma Kopi Semarang still uses an ordering system that is still manual in terms of ordering, so an ordering system is made menu with the application of a combination of QR Code technology with website. To develop this research, the method used First Come First Served (FCFS). Using this method process Menu ordering is more effective because customers place orders First, you will immediately get service.

Mushrooms are very diverse with characteristics of each type, there are 1,433,800 types of mushrooms that have not been recognized. In this study, researchers used the Neural Network and Deep Learning Inception V3 methods as a feature extraction process in images to classify mushroom images based on genus with the Orange Data Mining application. There are 9 genera of mushrooms used in this study, namely Agaricus, Amanita, Boletus, Cortinarius, Entoloma, Hygrocybe, Lactarius, Russula, and Suillus. The total dataset used is 2,700, with 300 images for each genus. The test uses the cross-validation method which is applied to the confusion matrix to get precision, recall, F1-score, and accuracy values. In this study, the final classification results were obtained with an accuracy of 82.5% and the genus Boletus mushroom obtained the best results with an accuracy of 98.9%.

The large number of needs for shipping goods at this time results in freight forwarding service companies having to continue to grow and compete to win the market. Online shop users will also be very confused and have difficulty in choosing a goods delivery service so they consider other factors in choosing a goods delivery service. Starting from prices, ratings, delivery time to the number of branches, online shop users are confused about choosing the best delivery service according to user needs, therefore complete data and an assessment method are needed to find out which delivery service suits the user's wishes. This study aims to develop a decision support system for selecting the best delivery service using AHP-COPRAS with the criteria of price, rating, delivery time and number of branches. the branch will make the delivery service the best choice, this is because the price and rating criteria have the highest weight. On the other hand, shipping services with high prices, small ratings and few branches will be the lowest choice in the ranking list.

The development of print media is now more advanced, starting from ordering wedding invitations, business cards, letterheads, etc. offline, now it can be ordered online via the web. Currently, increasingly advanced technology, CV. Sinar Karya still uses the manual method to receive orders via telephone/walk in store. In the type of ordering goods, it is known that the customer generally has to come to the place to order the goods needed. But many customers feel dissatisfied with the system, technological developments are currently growing rapidly, namely making web orders that are easy for customers to understand. With advances in technology in Indonesia, the development of the e-commerce industry has made it easier for people to order goods online. This application was made using the waterfall method and built using the PHP programming language, BOOSTRAP. In developing this system through several stages, namely: needs analysis, system design, implementation, testing and development of the system. For the testing phase, a functional test is carried out using the Visual Studio application, used to test the function of the application that has been built, whether it meets what is needed. If the results of application testing have gone well and there are no problems. This web-based printing service system was created to make it easier for customers and owners to place orders and transactions. After the application is made and implemented, it can be concluded that in terms of customers, it is easier to place orders and make payment transactions at CV printing services. Sinar Karya. For owners it's easier when they want to see order data and customer data that has been registered in the application. Keywords: PHP, Ordering, Printing services, waterfall, boostrap

Broiler chickens are livestock whose growth is influenced by environmental temperature. The temperature of the chicken coop that is not suitable can affect the decrease in productivity and cause death in broiler chickens, so that the temperature setting of the cage must be considered. The design of this temperature and humidity monitoring system uses a nodemcu ESP8266 microcontroller and an arduino uno. If the measured temperature exceeds the set temperature limit, the system will send an SMS to the smartphone so that the cage officer can take appropriate action.

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.

Someone who is referred to as a technician is a person who has expertise in a particular field of technology. Telkom Group is the only state-owned telecommunications company and the largest telecommunications and network service provider in Indonesia. Evaluation of technician performance is important to support the smooth running of the company. Selection of the best technician, will increase the motivation of the technician's performance. Some of the problems encountered were the absence of a technician performance appraisal process, the absence of an appropriate selection method, and the absence of a Decision Support System (DSS) that could make it easier to assess the selection of the best technician. Designing and building a decision support system using the AHP and COPRAS methods on technician assessments at PT. Telkom Access Regional 4 (Semarang) to increase the morale of the technicians and appreciate them. In this study, the AHP-COPRAS method was used to create a web-based DSS, in providing a more objective assessment every month, and creating several reports that convey effective issues, such as rating reports and technician performance appraisal reports according to these criteria.

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.

The Halal Product Assurance Agency (BPJPH) is an agency under the auspices of the Ministry of Religion with the task of ensuring the halalness of products in Indonesia. BPJPH has become a public concern after establishing the new halal logo. On February 10, 2022 the new halal logo was ratified by the Head of BPJPH, Muhammad Aqil Irham. This has become a topic of public discussion either directly or through social media, one of which is social media twitter. The number of opinion tweets about the change of the halal logo can be used as a data source to obtain information about public opinion on the change of the halal logo through sentiment analysis. Sentiment analysis can be done by machine learning approach, one of these is the SVM algorithm . In this research, oversampling and undersampling are applied to handle data that has an unbalanced sentiment class. The results showed that the Support Vector Machine (SVM) model using oversampling training data got the highest accuracy, recall, precision, and f1-score, namely 71% accuracy, 67% precision, 61% recall, and 61% f1-score while training using undersampling training data has the lowest performance, namely getting 56% accuracy, 51% precision, 57% recall, and 52% f1-score.

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.

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.

With the changing times, technology has become more sophisticated and powerful. Even all circles of society also feel the impact, as time goes by many people have taken advantage of this technology, thus making it easier for users to carry out activities in each of their activities. Especially in this millennial era, which predominantly uses everything digital. For example, new students who study to the next level at a dominant university from outside the region who need a temporary residence or what is commonly called a boarding house. The difficulty encountered at first was the difficulty of getting information and locations that were easily accessible by students to campus. In this way researchers take advantage of existing problems by utilizing technology to create an information system. With this application, it is hoped that it will make it easier for students to find boarding houses that match the student's wishes and assist the owner of the boarding house in promoting his boarding house. By making this boarding house application, it is a form of utilizing existing technology so that it can be used anywhere and anytime. By using this extreme programming method, it is software development that gives users access rights to add or change application processes. So a website was created to build applications for boarding houses in the city of Sukabumi.

School promotions were carried out directly by visiting junior high schools, during a pandemic this can’t be done. In an effort to attract prospective new students at SMK PGRI 2 Salatiga, it is necessary to innovate by adding promotional media that can be accessed by the wider community. Information distribution can be done through social media and the school's YouTube channel. Information media was chosen as virtual reality in the form of 360° videos to display school facilities and privileges. The measurement indicators used in this study are behavior, interactivity, and sound to find out whether the virtual environment can affect the interest of prospective students at SMK PGRI 2 Salatiga. In addition, the interactivity of the video when it is played and the sound of the environment in the video can give immersive in a school environment. The results of this study by the majority of respondents stated that promotional media virtual reality in the form of 360° videos is appropriate for use for school promotions during a pandemic, as an effort to increase the number of new students.

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

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.