This research discusses the concept of gamification science in the study of literature. The concepts discussed include the basic concepts of gamification based on the opinions of the researchers and presented graphs of the trends in the application of gamification in several fields during the 2015-2019 period. Four gamification models are also described by explaining the basic concepts, ways of working, and the best models currently based on the literature reviewed in this article. Some elements of gamification are explained in two categories based on the study of literature involved. Gamification research has been described as information for the development of gamification which can also be combined with other to produce targeted solutions is to increase user retention.

Satria Trans Travel is one of busi ness service that engaged to travel services and car rental. As transportation services provider, Satria Trans Travel need to provide the best service to every customers w ho need it so that services can continue to grow and can compete in the business world. The method used to measure t he quality of service with fuzzy-Servqual method to determine the variable of customer requirement that is not fulfilled by counting gap (gap) between service given with customer expectation as voice of customer. F uzzy logic is used to estimate the subjectivity of respondents in assigning value to the questionnaire. By using Fuzzy Servqual method, five attributes / criteria are the priority of service quality improvement because it has the highest weighted Servqual (Gap) value. The criteria that are the top priority for service improvement and service quality improvement are the dimensions of Tangibles. The result shows that the negative gap value is -0.912, meaning what is expected according to what customer has not yet got the customer in Travel Satria Trans. The result of calculation of Customer Satisfaction Index (CSI) is 83,76%. Based on the acquisition can be a motivation to continuously improve the quality of service to its customers.

Report handling on "LAPOR!" systemdepends on the system administrator who manually reads every incoming report [3]. Read manually can lead to errors<br />in handling complaints [4] if the data flow is very large and grows rapidly it can take at least three days and sensitive to inconsistencies [3]. In this study, the authors propose a model that can measure and identify the similarity of document reports computerized that can identify the similarity between the Query (Incoming) with Document (Archive). In this study, the authors employed term weighting scheme Class-Based Indexing, and Cosine Similarity to analyze document similarities. CoSimTFIDF, CoSimTFICF and CoSimTFIDFICF values are defined as feature sets for the text classification process using the KNearest<br /><br />Neighbor (K-NN) method. The optimum result<br />evaluation with preprocessing employ Stemming and the best<br />result of all features is 75% training data ratio and 25% test<br />data on the CoSimTFIDF feature that is 84%. Value k = 5<br />has a high accuracy of 84.12%

Rekomendasi pemilihan armada/mobil sangat dibutuhkan untuk memberikan kualitas layanan terbaik pada bisnis Tour dan Travel. Fuzzy Hibrida merupakan penggabungan dan kombinasi dua metode Fuzzy MCDM, yaitu Fuzzy AHP dan Fuzzy TOPSIS dalam pemilihan mobil ini dapat memberikan rekomendasi alternatif bagi pengambil keputusan, sehingga Proses seleksi mobil dapat berlangsung efektif dan efisien serta menghasilkan keputusan yang obyektif. Metode AHP (Analytical Hierarchy Process) merupakan salah satu metode Multi Criteria Decision Making (MCDM) yang sangat baik dalam memodelkan pendapat para ahli dalam sistem pendukung keputusan. Sedangkan Metode TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) sangat baik digunakan untuk melakukan penilaian dan perangkingan dengan jumlah alternatif yang banyak karena komputasinya efisien. Hasil perhitungan perangkingan mobil dengan metode Fuzzy TOPSIS, maka diperoleh prekomendasi pemilihan jenis mobil sesuai dengan perangkingan peringkat pertama yaitu mobil Xenia dengan nilai preferensi 0.4594. Dengan hasil tersebut, dapat digunakan sebagai alternatif dalam pemilihan mobil yang paling efisien untuk jasa Travel Satria Trans.

The car logo itself is very distinguishing in a car is a vehicle logo that serves to introduce to the public about their brand. This will also create its own appeal to the public in knowing the existing car logo. Types in study aims to classify for car logos in Indonesia. So that later people will understand in choosing a car with a quality brand. From the results obtained that the Decision Tree at split ratio 50:50 precision gets a value of 0.604, recall gets a value of 0.611, f-measure gets a value of 0.598 and accuracy gets a value of 95.70% at comparing data testing and training 50:50. Then the tests carried out by ANNbackpropagation resulted in a split ratio of 50:50 texture and shape features with a precision value reaching 0.680, recall getting a value of 0.521, f-measurement getting a value of 0.600 and accuracy also having the highest value generated by ANNbackpropagation reaching 92.50% at comparing data testing and training 50:50. The results prove that the classification using Decision Tree produces the highest accuracy, precision, recall, and f-measure compared to the decision tree.