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Implementasi Teosi AISAS dalam Membangun Brand Awareness pada Akun @eraspceid melalui Pemanfaatan Media Sosial Instagram Pratama, Bagas Wahyu; Rochmawati, Milla; Oxygentri, Oky; Ema, Ema
Jurnal Pendidikan Tambusai Vol. 8 No. 2 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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Abstract

Penelitian ini bertujuan untuk mengeksplorasi penggunaan Instagram untuk komunikasi pemasaran untuk membangun brand awareness pada akun @eraspaceid. Penelitian ini menggunakan metode deskriptif kualitatif dengan pendekatan analisis konten dan interaksi pada akun Instagram tersebut. Data diperoleh melalui observasi langsung dan wawancara dengan tim pemasaran @eraspaceid, serta studi literatur dari berbagai sumber terkait. Hasil penelitian menunjukkan bahwa dengan pemanfaataan instagramm dengan optimal dan baik dapat meningkatoan brand awernes penerapan teori AISAS (Attention, Interest, Search, Action, Share) oleh akun @eraspaceid berhasil membangun brand awareness secara signifikan. Konten visual yang menarik, penggunaan fitur-fitur Instagram seperti stories, posts, dan serta kolaborasi dengan influencer terbukti efisien dalam menarik minat dan membangun partisipasi audiens. Penelitian ini menyimpulkan bahwa Instagram merupakan platform yang sangat efektif dalam strategi komunikasi pemasaran digital dan memberikan panduan praktis bagi perusahaan untuk mengoptimalkan penggunaan Instagram dalam mencapai tujuan pemasaran mereka.
Implementation of the K-Means Algorithm in Sales Clustering at a Company using the KDD Methodology Rochmawati, Milla; Bagaskara, Ganes Wisnu Cahya; Adha, Ismail Adhiya; Umaidah, Yuyun; Voutama, Apriade
Sistemasi: Jurnal Sistem Informasi Vol 13, No 1 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i1.3074

Abstract

This research aims to implement K-Means algorithm in sales clustering at PT Sila Tirta Gemilang using Knowledge Discovery in Databases (KDD) methodology. PT Sila Tirta Gemilang is a company operating in the bottled drinking water industry sector. This research was conducted using a KDD approach that involves collecting historical sales data and has the main objective of improving the company's understanding of their product sales patterns. K-Means Clustering algorithm is used to classify products based on similar sales characteristics. In the K-Means method, the optimal cluster center point is determined to group products with comparable sales performance. By applying clustering using K-Means algorithm and KDD method, clustering of water types that are in significant demand at PT Sila Tirta Gemilang was conducted. As a result, three clusters were found, each containing water types with different characteristics. Cluster 0 has 1 water type with a high level of interest, while Cluster 1 has 3 water types with a low level of interest. Finally, Cluster 2 consists of 2 water types with a medium level of interest. From the results that have been obtained, companies can take more appropriate steps to increase profits and optimize their sales performance.