AbstrakInternet banking merupakan salah satu teknologi transaksi perbankan yang ditawarkan oleh bank-bank komersial di Indonesia untuk para nasabah dalam melakukan transaksi seperti transfer, pembayaran, dan sebagainya dengan mudah dan cepat. Sebagian besar nasabah lebih memilih melakukan transaksi dengan internet banking dibandingkan harus mendatangi ke bank, hal ini berdasarkan OJK (Otoritas Jasa Keuangan) mencatat bahwa jumlah pengguna ebanking meningkat sebesar 270 % dari 13,6 juta nasabah pada tahun 2012 menjadi 50,4 juta nasabah pada tahun 2016. Peningkatan terjadi dikarenakan adanya kebutuhan masyarakat dalam memanfaatkan teknologi. Penelitian ini bertujuan untuk mengetahui pengaruh internet banking terhadap minat nasabah dengan TAM (Technology Acceptance Model)yaitu persepsi kemudahan dan persepsi kegunaan. Metode pengumpulan data dengan kuesioner secara random sampling sebanyak 104 responden nasabah BRI dengan menggunakan skala Likert, pengujian data melalui uji validitas, reabilitas, normalitas, linearitas, uji regresi dan koefisien determinasi dan pengolahan kuesioner dengan SPSS. Hasil penelitian menunjukkan bahwa persepsi kemanfaatan penggunaan internet banking terhadap persepsi kemudahan dalam bertransaksi bagi nasabah Bank BRI.Semakin banyak manfaat yang dirasakan para nasabah,maka akan mempengaruhi kemudahan bagi nasabah setiap bertransaksi menggunakan internet banking.
Every business entity is required to be able to improve their services to customers. With good service it will increase customer satisfaction so that it ultimately increases profits from the business entity itself. To be able to improve service to customers, business entities must be able to present an efficient and accurate sales transaction process. For this reason, sales information system design is needed. Sales accounting information system can streamline the sales transaction process and can produce sales reports that are more accurate and timely and able to record accounting transactions in a short time. Timely and accurate sales reports are needed for the decision making process for business entity owners. The research objective is to develop software using the waterfall device development method, so that it can produce software that is able to improve sales system work and increase profits. The design results of the sales information system using the waterfall method can reduce errors caused by human factors (avoiding human error), avoiding the combination of data entry and presentation of sales reports presented in a fast and precise time so as to help the owner to make the decision making process .
This research focuses on halal lifestyle as a market segment of Indonesian society. In Indonesia which has the largest majority of Muslim population, so the need for halal lifestyle needs for millennials, is faced with the situation of potential halal lifestyle developments that has not been optimally well and demanded by the presence of increasingly advanced technology. This study analyzes the SWOT approach to get answers about the importance of halal lifestyle in Indonesian society. The results of the study introduce and create opportunities and a large market share for Indonesia by using communication technology, especially the internet, which can provide a one stop solution in the form of halal lifestyle applications so as to maintain maqashid syariah.
Student performance is the ability of students to deal with the entire academic series taken during school. Student performance produces two labels, namely successful and unsuccessful students. Successful students can graduate with excellent, excellent, and suitable performance labels. At the same time, students who have a label on average are students who get poor performance. Measurement of student performance is needed for every educational institution to take strategic steps to improve student performance. This study aimed to obtain a data mining method that worked well on student performance datasets. In this study, student performance datasets were processed, which had 11 indicators with one result label. Student performance datasets are processed using data mining methods, namely decision tree and nave Bayes, while the tool used for dataset processing is WEKA. The research results from processing student performance datasets obtained that the accuracy value for the decision tree method was 94.3132%, and the accuracy produced by the naive Bayes method was 84.8052%.
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