Digitalization has been shaped the economy and society, one of the areas most affected by digitalization is the retail sector. Point Of Sale (POS) is a sales-oriented activity and a system that helps process transactions. The Cooperative store at the Technology and Science Institute of Nahdlatul Ulama (ITSNU) Pekalongan still records manually, so there is a risk of fraud and data loss. This POS system can be helping all transactions to manage stores to be fast, accurate and safe, because all of data will be saved to the cloud directly, so cooperative managers can be controlling several cooperatives directly, anytime and anywhere. The method used in this POS system is the Waterfall method, which is a method used to develop software sequentially like a waterfall through several stages are data collection, analysis, design, development, testing and implementation. Based on the black box testing that the researchers have done, all the features on this multi-outlet POS system have functioned properly according to the needs of cooperatives at ITSNU Pekalongan.

Assets are one of the supporting equipment for business processes in a higher education organization. Asset management requires a system that is organized systematically so that the tracing process becomes more effective and efficient. In this case, asset management can be implemented in a web-based information system. The development of web-based asset management information system is carried out using the waterfall method, and for decision making in asset procurement priorities using the Analytical Hierarchy Process (AHP) method. The system development process uses the Codeigniter framework based on PHP and MySQL. The result of this development is a web-based asset management information system that is used to optimize asset tracking which is implemented at ITS NU Pekalongan.

The COVID-19 pandemic has greatly affected the economy in Indonesia. The emphasis on the development of covid-19 through Enforcement of Restrictions on Community Activities has an impact on the Micro, Small and Medium Enterprises (MSME) sector, including product sales at the Distro Sextors. Therefore, a strategy is needed to increase sales, one of which is through data mining techniques with market based analysis. Data mining is one of the processes of Knowledge Discovery in Database (KDD) that uses scientific methods in its application. The data used in this study were 6531 sales transactions. The data mining algorithm used in this research is K-Medoids for grouping which aims to find the best cluster. The cluster experiments used are K-3, K-4, K-5, K-6 and K-7 then cluster testing is carried out using the Davies Bouldien Index (DBI) method and the results are cluster K-3 is the best cluster because it has a homogeneous value lowest. Then the association rule uses the FP-Growth algorithm and the minimum support value used is 6% to 7% while the minimum confidence value is 60%. The results of the association rule analysis are product recommendations that can be used as promotions to increase sales in Distro Sextors. The products are SE128, SE131, SE130, SE431, SE792, dan SE804.

Hampir setiap negara didunia ini mempunyai sekelompok masyarakat yang kurang mampu dari segi ekonomi, termasuk di Indonesia. Berdasarkan kriteria keluarga tidak mampu yang dipublikasikan oleh Badan Pusat Statistik (BPS) bulan September 2018 sampai maret 2019 menunjukkan jumlah keluarga tidak mampu mencapai sekitar 9,99 juta jiwa untuk di daerah perkotaan dan 15,15 juta jiwa untuk di daerah perdesaan. Berbagai program bantuan Pemerintah dalam upaya mengurangi keluarga tidak mampu akibat wabah corona virus disease (covid-19) sudah banyak menyalurkan bantuan terhadap keluarga miskin maupun rentan miskin, tetapi yang sampai di masyarakat banyak yang tidak sesuai target karena ada berbagai parameter yang menjadikan keluarga tidak mampu tersebut, akibatnya penyaluran bantuan tersebut menjadi kurang efektif. Dalam penelitian ini peneliti menggunakan model Analitychal Hierarchy Process (AHP) yang dikombinasikan dengan algoritma fuzzy. Metode AHP mempunyai permasalahan pada indeks konsistensi dari matriks timbal balik yang dihasilkan secara acak dari skala 9 poin dengan timbal balik yang baku. Untuk mengatasi semua kekurangan tersebut, metode F-AHP diusulkan untuk menanggulangi permasalahan hirarki kriteria, karena metode F-AHP dapat menentukan bobot kriteria utama secara maksimal. Hasil Pengukuran dalam penelitian ini diperoleh akurasi 92.78% yang dihasilkan oleh sistem pada 10 data training dibandingkan 50 data penduduk dari Kelurahan Pakisputih, Pekalongan