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All Journal bit-Tech Community Development Journal: Jurnal Pengabdian Masyarakat International Journal of Economics, Business and Innovation Research
Isna Ayu Safitri Kusuma Dewi
Institut Teknologi dan Bisnis Ahmad Dahlan Lamongan
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Public Health

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OPTIMASI DIGITAL MARKETING DAN PROGRAM JUAL BELI DI DESA WAJIK Muad Muad; Isna Ayu Safitri Kusuma Dewi; Fibia Sentauri Cahya Ningrum; Muhammad Sulthon; Abdul Rozaq Al Farizi; Andrean Febri Wicaksono
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 3 No. 3 (2022): Volume 3 Nomor 3 Tahun 2022
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v3i3.13544

Abstract

Program Optimalisasi Digital Marketing dan Jual Beli di Desa Wajik kecamatan Lamongan kabupaten Lamongan merupakan salah satu bentuk kegiatan pengabdian masyarakat. Kegiatan terdiri dari kegiatan pokok (Desa), dan kegiatan penunjang. penelitian ini membahas kegiatan pokok (Desa) yang bertujuan untuk memberi pengalaman dan sebagai proses pembelajaran bagi masyarakat untuk menggali potensi-potensi Desa yang dapat dikembangkan. Metode pelaksanaan kegiatan dimulai dari survey, dan perencanaan kegiatan tambahan selain kegiatan inti yang telah direncanakan. Kegiatan tambahan yaitu adanya dukungan dari pemerintah setempat dan masyarakat Desa. Hal tersebut ditunjukkan dalam kegiatan yang banyak melibatkan masyarakat dari berbagai golonga dari Pemerintah Desa beserta aparatnya. Kegiatan-kegiatan Desa seperti sosialisasi marketing dan pengelolaan jual beli serta kegiatan agustusan. Kegiatan Porgram Optimalisasi Digital Marketing dan Jual Beli diharapkan dapat memberikan manfaat bagi masyarakat Desa khususnya yang bertujuan untuk menciptakan peningkatan ekonomi masyarakat Desa.
Evaluation of Distance Measurement Using Complete Linkage Method Fibia Sentauri Cahyaningrum; Isna Ayu Safitri Kusuma Dewi; Nola Riwibowo; Taruna Firlian Tama
bit-Tech Vol. 6 No. 2 (2023): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v6i2.1045

Abstract

Cluster analysis is the process of grouping a number of objects based on information obtained from data that explains the relationship between objects with the principle of maximizing similarities between members of one cluster and minimizing similarities between clusters. Cluster analysis is useful for identifying objects (recognition), supporting decision-making systems, and data mining. Cluster analysis consists of hierarchical (Average Linkage, Single Linkage, Complete Linkage, Ward's, and Centroid) and non-hierarchical (K-Means) methods. Each method generally has advantages and disadvantages. Apart from that, there are several distance measures that are commonly used in the grouping process, such as Euclidean, Canberra Metric, Czekanowski Coefficient, and others. In general, researchers will choose one or several cluster analysis methods as a comparison and a certain distance measure to be applied to the data in order to group objects based on certain criteria. In this research, a study and evaluation of Euclidean distance measures, Canberra Metric, and Czekanowski Coefficient were carried out using the Complete Linkage method based on simulated data. The conclusion obtained from evaluating measures of object similarity, namely Euclidean distance, Canberra Metric, and Czekanowski Coefficient by applying the Complete Linkage method, concluded that Euclidean distance is better used as a measure of object similarity in grouping cases compared to Canberra Metric and Czekanowski Coefficient.
THE FACTORS THAT INFLUENCE TIKTOK POPULARITY AS A DIGITAL MARKETING TECHNIQUE TO GROW CUSTOMER ENGAGEMENT Isna Ayu Safitri Kusuma Dewi; Fibia Sentauri Cahyaningrum; Yusuf Darmawan; Vicky Indarto Setyono
International Journal of Economics, Business and Innovation Research Vol. 2 No. 02 (2023): March, International Journal of Economics, Business and Innovation Research (I
Publisher : Cita konsultindo

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The more widespread use of the internet among the public, a lot of research or surveys have been conducted to understand people's behavior regarding how they interact with the internet. One of the application that is currently widely used is TikTok. TikTok is a social media that is loved by young people as a means of expressing themselves through singing or dancing. The popularity of the TikTok application has grown rapidly since its release because it has very diverse features and can be reached by various age groups. This study aims to determine the effect of informativeness, unique, entertainment, co-creation on the popularity of TikTok using multiple linear regression analysis. The results of the analysis show that these four variables have a significant effect on the popularity of TikTok with a coefficient of determination of 86.2%.
Co-Authors Abdul Rozaq Al Farizi Andrean Febri Wicaksono Fibia Sentauri Cahyaningrum Muad Muad Muhammad Sulthon N Riwibowo Setyono, Vicky Indarto Taruna Firlian Tama Yusuf Darmawan