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PEMBUATAN APLIKASI WEBSITE CORPORATE PROFILE DAN PENGAJUAN WARALABA PADA UMKM ROTI TETEH Lauro, Manatap Dolok; Natalie, Cynthia; Edison, Hans
Jurnal Serina Abdimas Vol 2 No 1 (2024): Jurnal Serina Abdimas
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jsa.v2i1.29186

Abstract

Micro, Small and Medium Enterprises (MSMEs) are one of the micro businesses that empower home industries. In an effort to increase competitiveness and expand marketing reach, MSMEs can take advantage of information technology. Several ways to increase competitiveness and marketing, one of which is to provide information about MSMEs so that more people can get this information. The development of the food and beverage home industry recently has increasingly led to brand awareness, with many of these brand owners developing their businesses by opening up opportunities for the wider community to use the MSME trade brand, namely by franchising. As a new brand, Roti Teteh faces an obstacle, namely that the name of this MSME is not well known to the public. In its young age, built in February 2022, Roti Teteh only has 1 sales location, and plans to build in other locations. Roti Teteh faces difficult competition amidst the rise of similar businesses that offer collaboration in the form of franchises. These MSMEs do not yet have the means to disseminate information about products and cooperation packages that can be accessed by the wider community. This PKM activity is concentrated on gathering needs and building a corporate profile website which is equipped with a franchise package collaboration offer feature. The results of the work have been published and well received by partners.
Analysis And Forecasting of Foodstuffs Prices In Bandung Using Gated Recurrent Unit Matthew Oni; Manatap Dolok Lauro; Andry Winata; Teny Handhayani@
Jurnal Esensi Infokom : Jurnal Esensi Sistem Informasi dan Sistem Komputer Vol 7 No 2 (2023)
Publisher : Institut Bisnis Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55886/infokom.v7i2.651

Abstract

Bandung adalah sebuah kota di provinsi Jawa Barat dan salah satu kota padat penduduk di Indonesia. Oleh karena itu, memprediksi dan menganalisis harga bahan pangan berdasarkan data historis bermanfaat untuk menemukan trend dan informasi yang berguna bagi pemerintah dan masyarakat. Penelitian ini mengembangkan model menggunakan gated recurrent unit or GRU yang merupakan versi spesifik dari recurrent neural network (RNN) untuk memprediksi harga daging ayam, beras, bawang merah, telur ayam, dan bawang putih di pasar tradisional Bandung. Model GRU dilatih menggunakan dataset dari Pusat Informasi Harga Pangan Strategis Nasional. Dataset dikumpulkan dari bulan Januari 2018-Februari 2023. Hasil percobaan menunjukkan bahwa GRU berhasil diimplementasikan untuk peramalan harga telur ayam, beras, bawang merah, daging ayam, dan bawang putih. Model terbaik menghasilkan Mean Absolute Error (MAE) masing-masing sebesar 338.1, 341.8, 118.3, 133.1, dan 4.3 untuk harga bawang putih, bawang merah, telur ayam, daging ayam, dan beras.