The library is a source of information and a place of learning. Each book lending information is stored by the library so as to produce large data lending books. Big data if not utilized will create problems in the future. In this study, researchers will utilize a priori algorithms and Tanagra software to group library book borrowing data at Ahmad Dahlan ITB based on trends that occur together in library visit activities. In the process of borrowing books, of course the raw data will be processed by dividing it into different pieces of data. Among the lending data tables processed are general lending tables, 2-itemset candidate tables, lending tabular tables, support value tables, confidence value tables. From the results of this study it can be seen what books are often borrowed together with a minimum support of 5% and 10% confidence one of which is Taxation and Taxation Accounting with a minimum support of 7.30% confidence 62.79%. And can be used as a reference for ITB Ahmad Dahlan in the procurement and placement of library book layout.
Sales data in 3 different shops (shop, Shop Maker Fernando and Son) at Tohaga Market in the form of PD book transactions are only seen in the absence of follow-up to determine the decision on who will come. Party owner only records the transactions of products sold and only see income per month. But with that data should be utilized to strategize on sales to come. By using the method of Frequent Pattern Growth Algorithm, the store can take decisions which require goods inventory more compared to other goods, and the placement of the goods in accordance with the relationship between the goods that are usually purchased a consumer can also be determined based on a Minimum Support and Minimum Confidence. Based on Market Basket Analysis obtained from the calculation of the Association by using the method of Frequent Pattern Growth Algorithm, then search for the value of the support and confidence to use Association Rules, Rules that are generated will be test by using Software RapidMiner. Then the placement of goods and inventory items in 3 different stores can be controlled with either the service so that the consumer will be increased, which in turn can increase the sales turnover. In this study Support is determined using threshold 40% and 83% Confidence. Having regard to the relationship of support and confidence the store owner can provide and put the items to be sold
Birth of a baby is something that is very desirable for every married couple. All parties expect safety for mothers and babies who have just been born. Medical personnel make various efforts to help the delivery process run smoothly and the mother and baby survive. But in the labor process not all the baby's birth process runs smoothly. Problems often occur during labor. There are several obstacles so that there is a risk of labor, namely maternal and infant mortality. Every mother wants to be able to give birth to a baby normally, but due to medical reasons the delivery process is done by cesarean. The act of choosing a type of delivery faster can affect the safety of the mother and baby. The selection of the cesarean method is carried out late so it will increase the risk of maternal and infant mortality. For this reason, it is necessary to conduct research by using labor delivery data so that they can choose the right type of labor. In this study the classification of maternity labor will be carried out with data mining methods, namely Naive Bayes, which are improved by using the Optimize Weight (PSO) method. Naive Bayes was able to produce a high accuracy value for processing labor data for mothers, namely 94%. The final results of this study obtained the value of naïve bayes performance that can be improved by the Optimize Weights (PSO) method to be better at 98%
Abstrak - Koperasi Warga Lingkungan (KOPWALI) adalah sebuah koperasi warga yang berfokus pada bidang simpan pinjam yang berada dikawasan Kota Tangerang. KOPWALI memberikan kesempatan anggotanya untuk melakukan pengajuan dana pinjaman, yang di setiap bulan nya ada lebih dari satu anggota melakukan pengajuan pinjaman dana. Namun untuk memutuskan anggota koperasi mana yang layak diprioritaskan menerima dana pinjaman masih menjadi kendala besar bagi koperasi ini. Maka perlu dirancang sebuah sistem informasi rekomendasi penerima dana pinjaman prioritas yang lebih efisien dan efektif. Metode AHP dan metode SAW dikombinasikan untuk menentukan prioritas penerima dana pinjaman terbaik. AHP digunakan untuk mengidentifikasi bobot dari setiap kriteria yang diambil dari matriks perbandingan berpasangan, sedangkan SAW menentukan setiap alternatif atau anggota yang mengajukan dana pinjaman paling tinggi prioritasnya untuk diberikan terlebih dahulu. Hasil pengujian tingkat akurasi yang didapat terhadap hasil rekomendasi pemilihan penerima dana menggunakan perhitungan Spearman Rank Correlation Coefficient menghasilkan nilai 0,25714286.Katakunci: AHP, koperasi simpan pinjam, sistem pendukung keputusan pemberian pinjaman, SAW Abstract - Koperasi Warga Lingkungan (KOPWALI) is a community cooperative that focuses on the field of savings and loans in the area of the City of Tangerang. KOPWALI gives members the opportunity to submit loan funds, which every month there is more than one member submitting loan funds. However, to decide which member of the Kopwali should be prioritized receiving loan funding is still a major obstacle for the cooperative. Then a more efficient and effective priority loan information system recommendation recipient information system needs to be designed . The AHP method and the SAW method are combined to determine the priority of loan recipients. The AHP method is used to identify the weights of each criterion taken from the pairwise comparison matrix, while the SAW method is used to determine each alternative or member who submits the highest priority loan funds to be given first. Based on testing the accuracy of the results obtained from the selection of recipients of loan funds that have been tested using the calculation of the Spearman Rank Correlation Coefficient which produces a value of 0.25714286.Keywords: AHP, decision support system for lending funds, saving and credit cooperatives, SAW
Video games are one of the industries that are growing very rapidly every year. And in a video game industry, there are many types/genres of games that have been widely circulated in the community. One of them is a type of game where players interact a little while the game is running, namely idle games. Even though gaming is one of the industries that is growing very rapidly, based on the report of Diana Paskarina (COO of game loka nutmeg) the contribution of the creative game industry is still very small to state revenue. However, regardless of the existing constraints, there are opportunities/opportunities that can be utilized to improve the country's economy through idle games. This refers to the results of the Sensor Tower survey which shows that the income of the idle game genre in Q3 2016 to Q2 2018 has increased very rapidly. Therefore, researchers try to make a positive contribution by developing game applications with the idle game genre using the Agile Game Development method.
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