This study aims to examine the effect of Education Level and Understanding on Tax Payment Mechanism on Taxpayer Compliance of Small and Medium Enterpreneurs. This research is a kind of quantitative research using primary data. The population of this study was small and medium enterprises registered at the Ministry of Cooperatives and Small and Medium Enterprises of the Republic of Indonesia in South Jakarta -DKI Jakarta. Probability sampling method was used with the total samples of 99 respondents and SPSS 24 application was applied for the statistical analysis. The results of this study show that the level of education has rejected the impact on the Taxpayer Compliance of Small and Medium Enterpreneurs. Understanding of the Tax Payment Mechanism is partially significant to the Taxpayer Compliance of Small and Medium Enterpreneurs. Simultaneously, the variables of Education Level and the taxpayer's understanding on tax payment mechanism have a significant effect on Taxpayer Compliance of Small and Medium Enterpreneur.

Determination of the pattern of purchasing goods and layout of goods based on the tendency of consumers to buy goods canbe one solution for the Bogor Sangkuriang Lapis Shop in developing marketing strategies so as to increase sales of Lapis Bogor Sangkuriang products. The algorithm that can be used to determine the pattern of purchasing goods and this layout is the Apriori Algorithm which is one of the data mining algorithms in the formation of rule mining associations. With frequent items in a priori algorithm by producing a small frequent, without doing candidate generation and minimizing the completion stages starting at k-1 items or the first stage in the a priori algorithm then used with the FP-Growth method where this method is very significant with the a priori algorithm , efficient in terms of time, the completion stage is faster, produces less frequent items and is more detailed in describing frequent item results because frequent results with a value <1 are still shown, not deleted. This research produced the most sold products for layer cakes are Original Cheese, Cheese Brownies, Full Talas. Based on the rules of the final association, it is known that if you buy the Bogor Sangkuriang Lapis Original Cheese cake layer, you will buy the Lapis Bogor Sangkuriang Brownies Cheese and Full Talas Cheese with a support value of 30% and a confidence value of 70%. Based on these results the company can make the decision to develop a strategy that is done next

The DKI Jakarta Regional Asset Management Agency (BPAD) is a State Agency that regulates budget costs for many types of assets in the DKI Jakarta area. One type of budget is for equipment and machinery that are needed annually. The local budget so far has not focused on the equipment and machinery needed. This is needed in order to be able to minimize the budget and focus on the equipment and machinery needed each year. In this case Data Mining can be applied to find information from the dataset. In order to know the Equipment and Machines that are most needed each year, searching for information on the dataset can be done by one of the Data Mining methods, namely the A priori Algorithm by looking for patterns of relationships in a dataset. If you know the equipment and machinery that are most needed each year, BPAD can focus the budget on the goods most needed and can find out which SKPD need more equipment and machinery each year.Keywords: BPAD, Data Mining, Algoritma Apriori.Abstraksi: Badan Pengelolaan Aset Daerah (BPAD) DKI Jakarta adalah Instansi Negara yang mengatur biaya anggaran untuk banyak jenis aset di daerah DKI Jakarta. Salah satu jenis anggaran yang ada ialah untuk Peralatan dan Mesin yang tiap tahunnya dibutuhkan. Anggaran daerah sejauh ini belum berfokus pada Peralatan dan Mesin yang dibutuhkan. Hal ini diperlukan agar dapat lebih meminimalisir anggaran dan berfokus kepada Peralatan dan Mesin yang dibutuhkan tiap tahunnya. Dalam hal ini Data Mining dapat diterapkan untuk mencari informasi dari dataset. Agar dapat mengetahui Peralatan dan Mesin yang paling dibutuhkan tiap tahunnya, pencarian informasi pada dataset dapat dilakukan dengan salah satu metode Data Mining yaitu Algoritma Apriori dengan mencari pola hubungan dalam sebuah dataset. Jika mengetahui Peralatan dan Mesin yang paling dibutuhkan tiap tahunnya maka BPAD dapat memfokuskan anggaran pada barang yang paling dibutuhkan dan dapat mengetahui SKPD mana yang lebih membutuhkan Peralatan dan Mesin setiap tahunnya..Kata Kunci: BPAD, Data Mining, Algoritma Apriori.

The aim of this study to determine the effect of leadership style and motivation on employee performance in PT. Propan Raya Samarinda (PT. RCS). The population and sample in this study consisted of 42 employees. Methods of data collection using questionnaires, observations, and interviews. Data analysis techniques with regression analysis that explains the influence of leadership style and motivation on employee performance. The results showed that leadership has a positive impact on employee performance in PT RCS. A better leadership style will give a better performance of the employee. And also, motivation has a positive impact on employee performance. An employee who has a great motivation will show a good performance. Both variables have an impact on performance, and all of them have to be good in all organizations, so employee's performance will increase along with organization operational. But, from this analysis, results mean that the leadership style variable is more significant in influencing employee performance than the motivation variable.

The research aims to find out: Does the payment method set by BPJS in South Tangerang attract public interest in paying BPSJ compulsory health contributions. Does maximum service at South Tangerang BPJS Health affect the satisfaction of BPJS Health members. Do the right payment methods and services together affect the satisfaction of members of the Health BPJS in South Tangerang. The research method is a quantitative method that is a method that emphasizes more on the aspect of measuring objectively the social phenomenon that is the user community of BPJS health services in South Tangerang. Data collection methods use primary data. The analysis used in this study is multiple linear regression analysis, namely by calculating the SPSS through Validity Testing, reliability testing, testing traditional assumptions, and multiple linear regression analysis. The results of this study indicate that the Payment Method has a positive effect on the satisfaction of members of the Health BPJS, the Health Service BPJS has a positive effect on the satisfaction of the Health BPJS members, the payment method and the Health BPJS Services jointly affect the satisfaction of the Health BPJS members.