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All Journal Jurnal Algoritma Jurnal Kalibrasi Business Innovation and Entrepreneurship Journal Jurnal Wacana Ekonomi Jurnal Algoritma Jurnal Kalibrasi Jurnal Financia : Akuntansi dan Keuangan Journal of Knowledge Management Jurnal Pengabdian Masyarakat
Hani Siti Hanifah
Universitas Garut
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Journal : Jurnal Algoritma

 1 
Peran Digital Marketing Terhadap Minat Berkunjung Wisatawan dalam Meningkatkan Pertumbuhan Ekonomi Kabupaten Garut : Store Atmosfer Variabel Moderating Hani Siti Hanifah
Jurnal Algoritma Vol 18 No 2 (2021): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (369.255 KB) | DOI: 10.33364/algoritma/v.18-2.1033

Abstract

Pemulihan ekonomi nasional dan pertumbuhan ekonomi pasca pandemi Covid-19 dengan mengembangkan sektor prioritas seperti pada sektor pariwisata. Potensi daya tarik wisata yang dimiliki kota Garut, antara lain berupa keanekaragaman hayati, keunikan dan keaslian budaya daerah, keindahan bentang alam dan peninggalan sejarah sebagai salah satu bidikan penerimaan daerah yang berkontribusi pada kesejahteraan masyarakat. Tujuan penelitian untuk mengetahui peran digital marketing terhadap minat berkunjung wisatawan dalam meningkatkan pertumbuhan ekonomi kabupaten garut dan store atmosphere sebagai variabel moderating. Penelitian ini dengan menggunakan metode studi kasus mensyaratkan sumber data yang multi sources. Hasil penelitian menunjukkan bahwa upaya mendorong laju sektor pariwisata salah satunya dengan digital marketing dan tetap memperhatikan aspek store atmosphere sehingga dapat mendorong minat berkunjung wisatawan.
Implementasi Data Mining pada Penjualan Kopi Menggunakan Algoritma Apriori Irma Rosmayati; Wahyuningsih Wahyuningsih; Eliya Fatma Harahap; Hani Siti Hanifah
Jurnal Algoritma Vol 20 No 1 (2023): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.20-1.1259

Abstract

Coffee shops are currently in great demand by the public, especially teenagers because of the many types of coffee and attractive presentation. Due to the large number of coffee sales, more and more data has accumulated. To minimize unused data, the data is processed using data mining with an a priori algorithm approach. This a priori algorithm aims to make recommendations to the coffee shop to make discounts and recommendations to prospective buyers to buy products that are often purchased by the public. The dataset used is sales data for November 2022. The application of data mining to sales of coffee with the highest rule appears on Kopsu Friends and V60 with a support value of 25% and a confidence of 83%.
Co-Authors Abdul Fatah Hassanudin Anggraeni, Windi Ariesti Eliya Fatma Harahap Erik Kartiko Hedi Cupiadi Irma Rosmayati Mochamad Romdhon Mulki Asyriyanti Nina Karina Asgarini Nurbudiwati Nurbudiwati Silfani Nur Meilindani Wahyuningsih Wahyuningsih Wati Susilawati