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PENGEMBANGAN STRATEGI PEMASARAN INSTAGRAM MITRA KEBAB MONSTER DI KEMANGGISAN, DKI JAKARTA Michelle Augustine; Fajar Saputra; Kevin Adhi Dhamma Setiawan; Akbar Bimadi; Vindi Jessika Sampe; Hetty Karunia Tunjungsari
Jurnal Bakti Masyarakat Indonesia Vol. 5 No. 3 (2022): Jurnal Bakti Masyarakat Indonesia
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jbmi.v5i3.22640

Abstract

Kebab Monster is a dish partner that was established in 2015 in Kemanggisan, West Jakarta, and specializes in the form of kebabs. This partner has a center located in Kemanggisan, West Jakarta, and has branches spread across the Greater Jakarta area. One of the branches is the Kebab Monster branch next to the UNTAR campus. There are 2 variants of the kebab: monster and super monster, both are unique. Nevertheless, there are ups and downs that prevent all businesses from running smoothly. Decreased sales from the Kebab Monster partner branch next to the UNTAR campus, necessitates promotion on social media. Marketing by promoting on social media can have a significant impact on sales in the digital era. Also, using the current social media platforms that provide paid advertising services to promote products to social media users, the most prominent is Instagram. Promotion through social media can be considered effective because people nowadays stick around social media. The number of audiences reached by social media promotions is higher than promotions through brochures and cheaper than promotions from TV platforms. Therefore, the Community Service (PKM) team can assist the Kebab Monster branch next to the UNTAR campus through marketing using the promotion method from the Instagram application. The promotion method used is the design development through the descriptive observation, which later will be uploaded to the Instagram application feeds. The Instagram feed posts for the Kebab Monster branch next to the UNTAR campus which will be the output of this Community Service activity. ABSTRAK: Kebab Monster merupakan mitra makanan yang berdiri sejak 2015 di Kemanggisan, Jakarta Barat yang menyediakan makanan berupa kebab. Mitra ini memiliki pusat yang berada di Kemanggisan, Jakarta Barat, hingga sekarang memiliki cabang yang tersebar di daerah Jabodetabek. Salah satu cabang dari mitra ini adalah Kebab Monster cabang sebelah kampus UNTAR. Keunikan dari Kebab Monster ini adalah dengan adanya 2 varian kebab yaitu monster dan super monster. Namun, tidak semua bisnis mitra dapat berjalan mulus, tentu saja adanya lika-liku yang dihadapi. Penurunan penjualan dari mitra Kebab Monster cabang sebelah kampus UNTAR, yang membuatnya membutuhkan promosi di media sosial. Melakukan pemasaran dengan cara promosi di media sosial dapat berdampak besar pada penjualan di era digital ini. Selain itu, dengan adanya platform media sosial saat ini yang menyediakan layanan iklan berbayar untuk mempromosikan produk kepada pengguna media sosial tersebut, salah satunya adalah Instagram. Promosi melalui media sosial dapat dikatakan efektif dikarenakan masyarakat sekarang ini lebih banyak menghabiskan waktunya untuk melihat media sosial. Jumlah audiens yang dicapai dengan promosi melalui media sosial lebih banyak dibandingkan dengan promosi melalui brosur dan lebih murah dibandingkan dengan promosi dari platform TV. Maka dari itu, dengan adanya tim Pengabdian Kepada Masyarakat (PKM) yang dapat membantu mitra Kebab Monster cabang sebelah kampus UNTAR melalui pemasaran menggunakan metode promosi dari aplikasi Instagram. Metode promosi yang dilakukan adalah pengembangan desain melalui pengamatan secara deskriptif yang nantinya akan dimasukkan pada feeds aplikasi Instagram. Posting-an feeds Instagram Kebab Monster cabang sebelah kampus UNTAR yang akan menjadi keluaran dari kegiatan Pengabdian Kepada Masyarakat ini.
Classification of diseases in snake plants using convolutional neural network Kensa Athalia; Tiffany; Kevin Adhi Dhamma Setiawan; Bertrand Ferrari; Chairisni Lubis
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3201

Abstract

snake plant has an important role in human life, as well as in increasing the aesthetic value of the environment. Limited knowledge about diseases in snake plants has a crucial result in improper handling and control when the plant is attacked by disease. Advances in deep learning technology and Convolutional Neural Network (CNN) have presented high opportunities with their advantages in recognizing patterns and features from image data. This research will use a CNN model with VGG-19 architecture to classify diseases in the leaves of the snake plant. It is expected that by using the pre-trained VGG-19 model, the model can recognize complex visual patterns in snake plants. Diseases to be classified include several types of diseases that often attack snake plants such as anthracnose, rust, water soaked lesion, and healthy plants for comparison. The highest value of training accuracy reached a value of 98.08%, validation accuracy of 94.02%, and testing accuracy reached 94%.