Nofriadi Nofriadi
Universitas Perintis Indonesia

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Implementation of Fuzzy Logic Using Mamdani Method to Determine The Quantity of Bag Production (Case Study In Roman Indah Padang Bag Factory) Dwipa Junika Putra; Nofriadi Nofriadi; Erlinda Erlinda
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol 5 No 1 (2022): Jurnal Teknologi dan Open Source, June 2022
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v5i1.2220

Abstract

Roman Indah bag Factory is a bag manufacturing company that receives orders from customers every month. Fuzzy Logic is used to define the production known so far, so that the preferred result can be used as a basis for manager's decision. In the calculation process, Fuzzy Logic Mamdani requires maximum and minimum production data, maximum and minimum demand data, and maximum and minimum inventory data. Fuzzy logic is able to map an input into an output without factor factors. Fuzzy logic is used to create a model of a system that is able to determine the quantity of production. the factors that affect the quantity of production. Fuzzy logic is called the old new logic because the science of modern fuzzy logic and methodological was discovered only a few years ago, in fact the concept of fuzzy logic itself has been in us for a long time. Mamdani method is the most common method when it comes to fuzzy methodology. Mamdani method uses a set of IF-THEN rules derived from experienced operators/experts. The Mamdani model is often known as the Max-Min model. By using Mamdani method in Roman Indah handbag factory can assist in the efficiency of time and labour, because using Mamdani method can calculate the amount of production in the next month, so from the results can be derived consideration material decision by the manager, whether in determining raw materials, promotion, bag model, consumer, HR, etc. so that more company profits.
FAKTOR YANG MEMPENGARUHI NIAT MENGGUNAKAN APLIKASI BELANJA SELULER DI KALANGAN GENERASI X: PENDEKATAN DENGAN APLIKASI UTAUT Rafnelly Rafki; Rinda Lestari; Nofriadi Nofriadi; Yolanda Oktarina; Nova Mustika
Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis Vol. 3 No. 1 (2023): Maret : Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis
Publisher : AMIK Veteran Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jaemb.v3i1.1425

Abstract

Currently, the development of digital technology has an influence on all human lives, including shopping problems, namely online shopping applications. A lot of research has been done to study it, but there hasn't been much study of the factors that influence the intention to use online apps in generation X. So the purpose of this study is to study the factors that influence the intention to use mobile shopping applications among generation x, using the UTAUT application approach The method used is the UTAUT Model (Unified Theory of Acceptance and Use of Technology), the Integrated Theory of Acceptance and Use of Technology. The UTAUT model is used to be applied to the context of mobile shopping application use among Generation X. This research is a survey research using questionnaires as a data collection instrument. The sample is the Generation X Group who use smartphones and often do online shopping transactions. What influences a person's intention in the use of technology, it turns out to be between: 1) perception of ease of use, 2). perception of usefulness, 3). subjective norms, and 4). perception of quality. What influences a person's intention in the use of technology, it turns out to be between: 1) perception of ease of use, 2). perception of usefulness, 3). security, and 4). l. It can be concluded that the most significant factors in influencing the intention to use mobile shopping apps among Generation X are in terms of ease of use. This can be the basis for designing more effective marketing and promotion strategies for mobile shopping application service providers, and can help increase user satisfaction and strengthen consumer loyalty.