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Systematics
Published by Universitas Singaperbangsa Karawang
ISSN : -     EISSN : 27146529     DOI : https://dx.doi.org/10.35706/sys
Core Subject : Science,
Computer Science & IT Library & Information Science
Systematics is a scientific journal published by the Department of Information Systems at the Universitas Singaperbangsa Karawang (Unsika), which is a place for researchers to publish and disseminate research results. This journal is a publication of research papers and its development in the field of Information Systems, Information Systems Development, Computer Science, and Informatics.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 5 Documents
 1 
Search results for , issue "Vol 4 No 1 (2022): April 2022" : 5 Documents clear
Product Purchase Analysis Using Apriori Algorithm Method at Gigra Wholesale Store: Analisis Pembelian Produk Menggunakan Metode Algoritma Apriori Pada Toko Grosir Gigra Felix Sianturi; Betha Nurina Sari; Asep Jamaludin
SYSTEMATICS Vol 4 No 1 (2022): April 2022
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sys.v4i1.6182

Abstract

Gigra Grocery Store is a store that sells various basic food products. This Gigra store has experiencedproblems in sales, this research raises the problem that exists in the Gigra store, which is related todata that is increasing day by day. If left alone, the transaction data will only become garbage, onlyserves as an archive and cannot be used for market strategy development. This study uses the AprioriAlgorithm and the help of WEKA tools to find a combination of itemset from sales transaction data atthe Gigra store. The stages of data mining used are Knowledge Discovery In Database (KDD) withstages of data selection, preprocessing or cleaning, transformation, data mining and evaluation. Thefinal result of this research can be used as a reference for the store in marketing strategies to increaseproducts for eating and snack places. to reduce in-store losses
Design And Build Control Of Home Electronic Devices Wirelessly Based On Arduino: Rancang Bangun Kendali Perangkat Elektronik Rumah Secara Wireless Berbasis Arduino Ahmad Jurnaidi Wahidin; Galih Anggara Putra
SYSTEMATICS Vol 4 No 1 (2022): April 2022
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sys.v4i1.6276

Abstract

In a house or building that has a lot of room, of course there are also lots of electronic devices, electronic devices have several different switch locations that make someone have to approach the location to turn on or turn off the electronic device. The human forgetting factor is also a problem in this case. In order to support work efficiency, time and electrical resources, the author conducted research on controlling home electronic devices using wireless using Arduino. This tool serves as a substitute for a conventional switch. Control circuit that can be connected to wifi to turn on and off electronic devices such as lights, air conditioners, fans, dispensers, water pumps and so on. Through the design of this tool, a person can turn on or turn off an electronic device through a smartphone or computer from anywhere as long as it is still connected to the same wifi network as the controller.
Prediction of Student Graduation Accuracy Using C45 Algorithm (Case Study: Fasilkom Unsika): Prediksi Ketepatan Kelulusan Mahasiswa Menggunakan Algoritma C45 (Studi Kasus: Fasilkom Unsika) Dyah Ayu Wulandari; Betha Nurina Sari; Tesa Nur Padilah
SYSTEMATICS Vol 4 No 1 (2022): April 2022
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sys.v4i1.6307

Abstract

The Faculty of Computer Science at University Singaperbangsa Karawang has had problems in the last 3 years, namely the low level of accuracy of graduation. The number of students from the 2013 batch graduated on time as many as 43 out of 349. In 2014 51 out of 343 graduated on time. In 2015 there were 79 students graduating on time or 49%. The purpose of this study is to perform data mining using the C4.5 algorithm on Weka tools to determine the classification of student graduation determination. So that research is carried out to facilitate the determination of graduation. The distribution of training and testing data is carried out in 5 categories, namely 90:10, 80:20, 70:30, 60:40, 50:50 to find out the best results from the dataset comparison category. The results of the study show that the best accuracy values ​​are 90% training data and 10% testing data with an accuracy value of 84.2% and an ROC value of 0.852. Based on the results of the highest accuracy and ROC values, so it has a better and more accurate model.
Sentiment Analysis Dataset on COVID-19 Variant News: Kumpulan Data Analisis Sentimen pada Berita Varian COVID-19 Fakhri Muhammad; Nana Mulyana Maghfur; Apriade Voutama
SYSTEMATICS Vol 4 No 1 (2022): April 2022
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sys.v4i1.6347

Abstract

The development of technology at this time is getting faster and faster, this is indicated by the number of emerging social media such as Facebook, Instagram, Twitter. Twitter is used as a forum for users to discuss, express opinions, and share stories between users, because many people today often have opinions about the COVID-19 outbreak, plus there are new variants that make people express various types of opinions, both good and bad. good and so on. Therefore, an effort was made to research the covid variant to see labeling sentiment, which in essence is a text mining process that aims to extract sentiment from text using regular expressions so that labels are obtained for each text in the dataset, so a dataset is formed that can be used for further research. The process includes data collection including (scrapping tweets, data tweets), pre-processing (case folding, remove URLs, remove stop words, change into standard words, stemming, tokenization), sentiment labeling (IR in the form of regular expressions, sentiment labeling), and data visualization show pie chart, show word cloud). Of the 8993 tweets that have been analyzed, 2213 positive tweets, 1735 negative tweets, and 5045 neutral tweets were found.
Implementation Of E-Commerce With Business Model Canvas (BMC) Method To Increase Sales In Detak Original Store: Implementasi E-Commerce Dengan Metode Business Model Canvas (BMC) Untuk Meningkatkan Penjualan Di Detak Original Store Dzikri Febrian; Atik Ariesta; Dyah Retno Utari
SYSTEMATICS Vol 4 No 1 (2022): April 2022
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sys.v4i1.6386

Abstract

Detak Original store is engaged in selling men's clothing products that have physical stores in Tanah Abang and online sales in marketplaces such as Tokopedia, Lazada, Shopee, and social media Instagram. Problems that occur are a lot of competition in the current marketplace during the Covid-19 pandemic, decreased revenue in physical stores as a result of the difficulty of direct sales during the pandemic, less than optimal sales promotion so that old goods are difficult to sell, lack of detailed product information so that customers become hesitant to buy products via the marketplace and Instagram. Other problems are less than optimal in finding sales report data because the products are similar to one another. Therefore, Detak Original wants to create its own website with an E-commerce system to maximize sales. The method used in building a new E-Commerce business is the Business Model Canvas (BMC) method, and system design using UML and a website with Wordpess-based Content Management System (CMS). This research resulted in an E-Commerce website with various available features to facilitate the long distance buying and selling process. By easily accessing the E-Commerce website, the buying and selling process will be effective and efficient to connect with the public and increase sales.

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