Dwipa Junika Putra
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.
STRATEGI PERLUASAN PASAR MENGGUNAKAN DIGITAL MARKETING MELALUI PELATIHAN PEMBUATAN TOKO ONLINE DI KOTA BUKITTINGGI Elsa Widia; Dwipa Junika Putra
Diseminasi: Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 1 (2023)
Publisher : Pusat Pengabdian kepada Masyarakat- LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/diseminasiabdimas.v5i1.3449

Abstract

Pandemi Covid-19 telah meninggalkan permasalahan yang besar di seluruh sector perekonomian, terutama para pelaku bisnis. Permasalahan ini juga dirasakan oleh pelaku usaha khususnya Anggota Sanggar Belajar Mandiri di Bukittinggi. Pelaku usaha sanggar ini bergerak di berbagai bidang yang mengalami berbagai kendala pemasaran akibat pandemi. Dalam rangka pengabdian masyarakat kali ini kami akan memberikan pelatihan mengenai peluang berbisnis menggunakan digital dan pendapingan langsung pembuatan toko online. Pelatihan ini diikuti sebanyak 60 anggota sanggar dan berlokasi di Kampus 2 Perintis Indonesia di Bukittingi. Melalui pengabdian ini diharapkan pelaku usaha yang tergabung dalam Sanggar Belajar mandiri dapat menyadari peluang besar dalam bisnis digital. Sehingga mereka dapat memanfaatkan cara tersebut untuk memperluas pemasaran produk mereka. Hasil dari pelatihan ini terlihat dari antusias para pelaku usaha untuk membuat toko online dan mempromosikan produknya. Sebanyak 75 persen anggota telah aktif menggunakan media sosial dan 25% diantaranya telah memiliki media sosial tapi belum dapat mengelola akunnya dengan baik.
Enhancing Soil-Transmitted Helminth Detection in Microscopic Images Using the Chain Code for Object Feature Extraction Rio Andika Malik; Marta Riri Frimadani; Dwipa Junika Putra
International Journal of Advances in Data and Information Systems Vol. 4 No. 2 (2023): October 2023 - International Journal of Advances in Data and Information System
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/ijadis.v4i2.1305

Abstract

Soil-Transmitted Helminth (STH) infections are a grave global health issue, which involves particularly in countries that are developing with insufficient sanitation and limited access to healthcare. With better intestinal helminth egg detection technology, health facilities in areas with limited resources can identify and treat these infections more promptly. It is necessary to create a strong framework and an effective method to solve this challenge. The outcomes of this study could assist in parasite infection discovery and public health. Chain code-based feature extraction strategy can also be the foundation for the development of comparable approaches for diagnosing various parasitic diseases. Overall, the neural network design used in this study makes the model that is produced a good model that assigns well to never-before-seen data. The significance of image processing technologies in the medical field is shown by this study.