Jaringan Syaraf Tiruan dengan Metode Learning Vector Quantization (LVQ) dalam Menentukan Klasifikasi Jenis Tilang Berdasarkan Kendaraan

Learning Vector Quantization (LVQ) is a method of classifying patterns in which each output represents a particular category or class. The author uses the LVQ method to classify the type of ticket based on the vehicle that his research had previously conducted at the Simalungun District Prosecutor's Office. In this study, the author provides a solution to facilitate the filing of ticket data in the Simalungu District Prosecutor's Office, so that the data that has existing tickets can be classified according to their respective types. The results of this study indicate that LVQ is able to classify with an accuracy rate of 76.0%.

Pengaruh Penggunaan Media Teknologi Informasi Untuk Meningkatkan Hasil Belajar Siswa Kelas X MAN Asahan

The main problem of this research is how is the influence of the use of information technology media on the learning outcomes of students in Asahan's Fiqh X MAN subject. The subject matter is then broken down into a number of subproblems or research questions, namely: 1) How the learning outcomes of students in Asahan Class X Fiqh subject taught by using information technology media and, 2) How students learn in class Fiqh subjects X MAN Asahan who is not taught to use information technology media, 3) Is there any influence on student learning outcomes on subjects taught and those who are not taught using information technology media in class X MAN. This type of research is classified as quantitative (experimental quasy) which aims to determine the effect of information technology media on the class X MAN Fiqh Asahan subjects. With the research design used is Nonequivalent control group design. the sampling technique is purposive sampling. The method of data collection conducted by researchers is a test. The form of the test used is a multiple choice multiple choice objective test. The research results from the calculation of the value with the help of computer program Statistical Package for Social Sciences (SPSS) version 24.0 for windows illustrate that there are significant differences in learning outcomes between classes using Information Technology media and classes that do not use Information Technology media. With a significance value of 0,000

Pendekatan Pengembangan Metaheuristik dalam optimisasi kombinatorial

Combinatorial problems are problems that have a finite set of feasible solutions. Although in principle the solution to this problem can be obtained with complete enumeration, in complex problems it takes time that cannot be practically accepted, combinatorial analysis is a mathematical study of the arrangement, grouping, ordering, or selection of discrete objects, usually limited in number (finite in number) , many combinatorial optimization problems have been generated by research in computer design, computational theory, and by computer applications on numerical problems that require new methods, new approaches, and new mathematical insights, on combinatorial optimization, the function g (x) is defined as mapping g: {0,1} n → {0,1}, obtaining feasible regions Most methods for solving combinatorial optimization problems propose feasible regions, namely areas that are constrained by problem constraints after relaxation such as counts or binary variables, Field slices generally use the metaheuristic method proposed by para Other researchers, for example Genetic algorithms, simulated annealing, taboo search, plant propagation, methods do not use feasible regional concepts, but proposing the starting point for abstract completion is a brief summary of the paper to help readers quickly ascertain the research objectives and match the research needs.

Jaringan Syaraf Tiruan dalam Memprediksi Penjualan Air Minum dalam Kemasan dengan Metode Backpropogation

This study predicts the sale of bottled water by applying Artificial Neural Networks. The application uses the Backpropogation Algorithm where the data entered is the number of sales, then Artificial Neural Networks are formed by determining the number of each layer. After the network is formed training is carried out from the data that has been grouped. Experiments are carried out with a network architecture consisting of input units, hidden units, output units and network architecture. Testing is done with Matlab software. Predictions with the best accuracy use 3-10-1 architecture with an accuracy rate of 75% and the lowest level of accuracy using architecture 3-40-1 with an accuracy rate of 33%.

Algoritma K-Medoids untuk Mengelompokkan Desa yang Memiliki Fasilitas Sekolah di Indonesia

School facilities are learning facilities and infrastructure. Study rooms, study rooms, sports halls, prayer rooms, arts rooms and sports equipment. Means of learning to read textbooks, reading books, school laboratory tools and facilities and various other learning media. This study discusses the application of the K-Medoids method in grouping villages that have school facilities based on the province and education level. Data sources used from the National Statistics Agency (BPS). This study uses data mining techniques in data processing using the k-medoids clustering method. The k-medoid method is part of a fairly efficient grouping of partitions in small datasets and looks for the most representative points. The advantages of this method can overcome the shortcomings of the k-means method that is sensitive to outliers. Another advantage of this method is that the results of the grouping process do not match the entry sequence of the dataset. Grouping k-medoid method can be applied to the percentage of facilities based on the province, so that provincial grouping can be determined based on the data. From the grouping data, 3 clusters were obtained, namely a low cluster of 15 provinces, a moderate cluster of 16 provinces and a high cluster of 3 provinces from the percentage of school facilities in each province. It is hoped that this research can provide information to the government about data collection of school facilities in Indonesia which discusses examiners in the provision of school facilities in Indonesia.

Perancangan Prototipe Aplikasi Customer Relationship Management (CRM) Berbasis SMS Gateway Untuk Mendukung Proses Penyetaraan Mahasiswa Pada Universitas Budi Luhur

The company began to aware potential sectors that could maintain and even increase revenue. So that, staying in touch with customers become serious point at Budi Luhur University, which is one of the private universities in Jakarta. Therefore various efforts made so that customer has good relations with the company. The solution is providing easy access to information using communication devices in the form of mobile phones, especially in the process of “penyetaraan mahasiswa”. Writer applies the Customer Relationship Management (CRM) approach which aims to convey information to customers more efficiently by using communication devices. The design of the system is based on the SMS gateway that become bridge between handphone and the SMS server. Based on the research methodology, the design of an SMS gateway-based system is obtained, so that it can help simplify and speed up the delivery of information about the timeline and checkpoint progress of “penyetaraan mahasiswa”.

Sistem Pendukung Keputusan Penentuan Kelayakan Penerimaan Sertifikasi Guru Pada (Sd Negeri 104214 Deli Tua) Menggunakan Metode Topsis

Public Elementary School 104214 is one of the public elementary schools in Delitua sub-district. Teacher data processing to determine eligibility for receiving certification is still done manually so it requires a relatively long time. To be able to help the processing of teacher data the decision support system was built using a web-based TOPSIS (Technique for Order Preference by Ideality) Ideal method, which can improve the efficiency of teacher data processing time. Development of the system uses the PHP programming language and MySQL database for data storage. The final results obtained are Decision Support Systems Determining the Feasibility of Receiving Teacher Certification in Delitua 104214 Public Elementary School using the TOPSIS method, which can assist the school in handling data collection data.

Rancang Bangun Sistem Informasi Pendistribusian Barang Pada PT. Akbar Nusantara Perkasa

PT. AKBAR NUSANTARA PERKASA is a company engaged in the distribution of factory machinery goods. Distribution itself is an activity of distributing goods from suppliers to customers so that their use is appropriate (type, amount, price, place and time) needed. But in terms of the distribution of goods the company still has problems in terms of data searching that requires a long time, archiving data that requires extensive space, data recording errors that occur due to human error and the presentation of unprepared reports due to long data collection. Through this research, the author in an effort to design and build a computer-based information distribution system that will create not only accurate, fast and relevant information but also can overcome the problems faced by the company. In conducting this research the supporting components in this methodology are with activity diagrams, use case diagrams, class diagrams, sequence diagrams and entity relationship diagrams. While the implementation and supporting software uses the VB.Net and MYSQL programming languages. By developing an information distribution system design of goods is expected to help and reduce problems at PT. AKBAR NUSANTARA PERKASA in goods distribution activities.

Kewirausahaan Teknologi Informasi Sebagai Media Peningkatan Kreatifitas Mahasiswa Di Era Ekonomi Digital

This study aims to provide an overview of the importance of increasing creativity and innovation in facing the era of digitalization. STMIK Royal Kisararan as the research location where the population of the research is 120 students in 5th semester whose take IT entrepreneurship courses. Used cluster sampling as the sampling technique and the sample are 60 students. This research is designed as descriptive analysis research. The Techniques Data collection is done by structured interview method where the researcher composes several questions as interview guides. The observation method used is structured and non-participant observation. Structured observations and observed aspects are: Student's abilities to create something new and different (ability to create new and different), Creativity and innovation to solve problems, Student's understanding about business in IT field. While non-participant observation is done by observing through blogs, Instagram and other social media used by students in completing assignments. Interview results supported by observations show that respondents understand the current digital economic era where there have been changes from conventional ways towards modernization with the use of technology. Respondents were also able to identify opportunities and challenges faced in the future and be able to evaluate the competencies that must be possessed to be able to compete in the digital economy era.

Penerapan Fuzzy Tsukamoto Dalam Usaha Katering

Food is the main need for humans, so the food business is growing, one of which is catering business. With the catering business it is increasingly easier for people to provide food needs at certain meetings or events. In carrying out its business, entrepreneurs must create different advantages to attract consumer interest. One effort to make the catering business run smoothly is by predicting the amount of income. One of the methods that can be used to solve this problem is the fuzzy Tsukamoto method. Where in this study using 3 variables, namely the ordering variable (X) has a few and many fuzzy sets, the price variable (Y) has an affordable and low set, and the income variable (Z) has a low and high set. The calculation results from the prediction of the amount of income that will be obtained by Sumatra culinary catering with 400 orders and the price of Rp. 13,000 is 4,620,000 per week.