Semakin pesatnya pertumbuhan bisnis bidang kuliner, membuat persaingan bisnis dibidang ini juga semakin ketat. Warung tenda atau yang biasanya disebut warten banyak menyajikan menu dan minuman, namun perlunya pelaku bisnis berusaha menghasilkan inovasi produk demi memberikan pelayanan memuaskan kepada pelanggan. Pada kondisi tersebut dibutuhkan sebuah teknik pengolahan data untuk mengetahui rekomendasi menu pada Warung Tenda. Metode analisis yang digunakan adalah teknik data mining dengan algoritma Apriori, dimana algoritma ini untuk mennetukan himpunan data yang paling sering muncul (frequent itemset). Hasil dari penelitian didapatkan bahwa Nilai Support dan Confidence tertinggi ialah Es Teh Manis dan Mendoan dengan nilai Support 50% dan Confidence 76%. Hal ini dapat menjadi rekomendasi kombinasi menu dari data yang telah dikumpulkan dan diterapkan algoritma apriori sehingga diharapkan dapat digunakan untuk evaluasi pelayanan serta mampu meningkatkan kepuasaan pelanggan agar Warung tenda dapat berkembang lebih pesat.

The Kabeh Free Website is a system used for submitting population documents, the website is a solution for residents in Banyumas, especially those who are far from Purwokerto City, to be able to submit residence documents online without having to go to Dindukcapil. However, in practice, there are still residents who choose to register offline, while there are several complaints from the Banyumas community that there is no submission guide on the website, delays in confirmation via e-mail, users have difficulty submitting because the website is having an error. This is the reason for researchers to conduct research with the aim of knowing the success of the Gratis Kabeh website with the DeLone and McLean model and knowing which variables have an influence on the Gratis Kabeh website. The sample used in this study amounted to 250 samples with a purposive sampling technique. The method chosen is the DeLone and McLean Is Success Model, to determine the effect of the variables in this model. The results showed that the overall research hypothesis was accepted because it had a significant and positive effect, then the results of the F2 value showed a weak effect on the variables Information Quality, System Quality, Service Quality on Use and User Satisfaction, and the Usage variable on User Satisfaction and Net Benefit had a weak effect . However, the User Satisfaction variable has a moderate effect on Net Benefit

Along with the rapid development of the culinary industry, business competition is also getting tougher. Warung Oemah Tani serves a variety of menus and drinks, but to provide satisfying service to customers, business people must try to develop new products. Under these circumstances, the menu recommendations for Warung Oemah Tani need to be analyzed so that the recommendations made are right on target. This study aims to analyze the sales of Warung Oemah Tani using the FP Growth algorithm. This algorithm identifies the data set with the highest frequency of concurrent sales (frequent itemset). The results of the association rules show that the highest support value is 0.520 and the highest confidence value is 0.929, with a minimum support of 30% and a minimum confidence of 80%. Obtained 14 rule associations that meet the minimum support and minimum confidence.