Setiap perusahaan akan berlomba lomba untuk meningkatkan pelayanan kepada pelanggan, agar pelanggan tidak berpindah ke pesaing. BMT XXX juga tidak menginginkan nasabahnya berpindah ke pesaing. Pada tahun 2019 nasbah BMT XXX mencapai 4882 nasabah, akan tetapi yang aktif melakukan transaksi penabungan hanya 1392 nasabah. BMT mengalami kesulitan dalam menginterpretasikan data, karena data yang tersaji dalam bentuk manual. Untuk membantu BMT dalam mengelompokkan nasabah yang potensial menggunakan metode fuzzy C Means dan model RFM (Recency, Frequency, dan Monetary). Metode Fuzzy C means digunakan karena dapat menggelompokkan data yang lebih besar dan lebih kokoh pada data oulier, dalam menentukan cluster atau kelompok dengan derajat keanggataan. Langkah langkah metode penelitian yang dilakukan adalah pengumpulan data, pengolahan data, metode yang diusulkan, eksperimen metode, validasi hasil atau pengujina. Hasil pengujian dengan Davies Bouldin Index diperoleh 0,464 dengan jumlah klaster sebanyak 6. Dengan kelas nasbah superstar sebanyak 79 nasabah, golden sebanyak 462 nasabah, typical customer 124 nasabah, occantional customer sebanyak 271 nasabah, everyday sopper 239 nasabah, dormant cusomer 217 nasabah. Dengan adanya data tersebut dapat digunakan oleh BMT XXX pengambilan keputusan dalam hal menentukan strategi marketing untuk meningkatkan pelanggan agar pelanggan selalu aktif melakukan penabungan Kata Kunci : Segementasi nasabah, fuzzy c means, RFM
The Tourist Destination Reservation Information System in Pekalongan City is an application that functioned as a medium for booking online travel tickets, managing tourist destination income, displaying tourist locations, tourist details and the amount of visitors to tourist destinations. To find out whether an information system is running as expected, an evaluation process of the performance of the information system is needed. In conducting the analysis and evaluation of the information systems, there are several methods or analytical models that can be used, one of them is the PIECES Framework analysis model. The variabels used in the Pieces Framework are performance, information, economics, control, efficiency and service. The purpose of this research is to measure the level of satisfaction, identify weaknesses and strengths as well as analyze the components needed to improve the service quality of the Tourist Destination Reservation Information System in Pekalongan City. Based on the results of calculations and analyzes that have been carried out using the Pieces Framework, the results show that the performance variabels are in the satisfied category, while for the information, economics, control, efficiency and service variabels are in the very satisfied category. By these results it can be concluded that the Tourist Destination Reservation Information System in Pekalongan City is well accepted by users and has been running properly.
Perkembangan teknologi pada era digital dibidang informasi dan komunikasi telah mengubah prilaku masyarakat secara global, serta menyebabkan dunia tanpa batas berkembang secara cepat. Transformasi data pada jejaring secara global menjadi kebutuhan untuk memberikan informasi yang akurat. Transformasi data pribadi pada jejaring secara global akan memungkinkan menjadikan ancaman bagi pemilik data informasi atas perbuatan pihak lain yang tidak bertanggungjawab untuk tujuan tertentu. Perlindungan data informasi digital menjadi penting untuk menjaga ancaman kejahatan data pribadi, yang akan ditranformasikan melalui jajaring secara global. Teknik Steganografi merupakan cara menyisipkan informasi pada data digital misalnya citra/gambar digital, yang kelihatanya tidak terlihat ada perbedaan serta tidak mengubah informasi yang terkandung pada data digital. Metode Least Significant Bit salah satu metode yang mempunyai kelebihan dalam hal imperceptibility yaitu data hasil embedding dengan data hasil extracting tidak ada perbedaan secara kasat mata. Perlindungan informasi data digital ini dapat diterapkan pada data file citra, dimana disisipkan data/file pesan rahasia.
The impact of the COVID-19 pandemic has been felt by all sectors, including the economic sector. UMKM have really felt the impact after the covid 19 pandemic with declining sales turnover. This study aims to classify products from UMKM that are not selling well and selling well. The K means method was chosen for grouping because it is simple and the K means method can group according to the same criteria grouped into a data cluster, for different data entered into another cluster. There are 28 data sets which will be grouped into 2 clusters . With the criteria of total goods sold, total transactions, difference in days and final stock. The data was taken from January 2022 to August 2022. After clustering, it was found that C1 had 12 products that were selling well, and for C2 there were 16 products that were not selling well. Therefore, UMKM can carry out sales promotion strategies that are fast and precise so that products that are not selling well can increase sales volume. Promotions can be carried out in the form of discounted promotions, mailer promotions, and fractional promotions.
Pekalongan City Government continues to strive to improve good governance in maximizing the use of Information Technology, this is evidenced by the participation of the Pekalongan City Government in the Movement Towards 100 Smart City programs. One effort that can be made to optimize the use of information technology is the executive dashboard for monitoring RT / RW activities. In 2019, Pekalongan City has 340 RW and 1660 RT. The existence of this executive dashboard application can optimize the role of RT and RW and all information at the lower level can be obtained immediately, such as information on population data, submission of grants and assistance, and others. The information in the monitoring dashboard is the realtime data that currently exists. This research will make a dashboard monitoring RT / RW activities with a prototype model approach. The prototype model and Joint Application Development (JAD) are the most widely used models in creating executive dashboards. The research steps started from data collection, data analysis, application design, application development and testing. From the data collected, a functional and non-functional requirements analysis process was carried out. After that the application design process is carried out and conti nued with the design implementation in the application development process. Then from the results of the Alpha Test and Beta Test, the application can work according to functional and non-functional needs. In the future, this application prototype can be developed in conjunction with the One Data application in Dinas Komunikasi dan Informatikan (Diskominfo) Pekalongan City. Keywords: Executive dashboard, smart city, prototype.
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