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All Journal Economic: Journal Economic and Business KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Siahaan, Leonardo
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

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The Business Feasibility Study Analysis of a Coffee Shop at the Tempat Biasa Coffee, Jalan Gurilla No. 102 Medan Siahaan, Leonardo; Muliani, Rizka; Padang, Nova Romadiyah; Lubis, Putri Kemala Dewi
Economic: Journal Economic and Business Vol. 2 No. 1 (2023): ECONOMIC: Journal Economic and Business
Publisher : Lembaga Riset Mutiara Akbar (LARISMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejeb.v2i1.562

Abstract

In the development of the coffee shop business, it has become popular with the public. Tempat Biasa Coffe is a business coffee shop that provides coffee products with different flavors. A coffee shop business can be said to be a viable business if it is stated from a business feasibility study analysis. With business feasibility studies as a science that analyzes the feasibility of a business in terms of legal aspects, marketing market aspects, financial aspects, technical/operational aspects, management and organizational aspects, environmental impact aspects. This research was conducted on the Tempat Biasa Coffee business with the aim of finding out the business feasibility of the Tempat Biasa Coffee business in terms of business feasibility study aspects. This research uses descriptive qualitative research methods with techniques used including interviews, observations and literature studies from articles related to research taken from journals of national reputation and Sinta. From the results of the analysis, the results obtained from the perspective of marketing market aspects, technical/operational aspects, and environmental impact aspects meet the feasibility criteria for a business. Meanwhile, the legal aspects and management and organizational aspects are less feasible. So the ordinary the Tempat Biasa Coffee Shop business still needs to be developed in terms of legal aspects and management and organizational aspects.
Pengembangan Aplikasi Klasifikasi Gambar Foto Kegiatan ‘Remaja Bagi Kristus’ Gereja Isa Almasih Kega Siahaan, Leonardo
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 10 No. 4 (2024): Kalbisiana
Publisher : UNIVERSITAS KALBIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53008/kalbisiana.v10i4.1196

Abstract

This study aims to develop an image classification application based on a website. An application will be made to be able to classify pictures of activities at Youth For Christ, KEGA Isa Almasih Church. In this study using the CNN (Convolutional Neural Network) method to create a model. The machine learning model used in building this application uses the Tensorflow software library. The software development method used is the incremental method. The dataset used in this study was collected as much as 600 image data and will be divided into 3 data variables, namely praying, preaching, and worship. The result of the application that is built is a simple website-based image classification application so that users can easily use the application. By utilizing the HTML programming language in making application interfaces and Python as a programming language in creating machine learning models used in applications, in making this application the researcher also uses Flask as a backend for the application.
Pengembangan Aplikasi Klasifikasi Gambar Foto Kegiatan ‘Remaja Bagi Kristus’ Gereja Isa Almasih Kega Siahaan, Leonardo
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 10 No. 4 (2024): Kalbisiana
Publisher : UNIVERSITAS KALBIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53008/kalbisiana.v10i4.1196

Abstract

This study aims to develop an image classification application based on a website. An application will be made to be able to classify pictures of activities at Youth For Christ, KEGA Isa Almasih Church. In this study using the CNN (Convolutional Neural Network) method to create a model. The machine learning model used in building this application uses the Tensorflow software library. The software development method used is the incremental method. The dataset used in this study was collected as much as 600 image data and will be divided into 3 data variables, namely praying, preaching, and worship. The result of the application that is built is a simple website-based image classification application so that users can easily use the application. By utilizing the HTML programming language in making application interfaces and Python as a programming language in creating machine learning models used in applications, in making this application the researcher also uses Flask as a backend for the application.
Co-Authors Lubis, Putri Kemala Dewi Muliani, Rizka Padang, Nova Romadiyah