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Paradigma
Published by Universitas Bina Sarana Informatika
ISSN : 14105063     EISSN : 25793500     DOI : http://dx.doi.org/10.31294/p
Core Subject : Science,
Computer Science & IT
The first Paradigma Journal was published in 2006, with the registration of the ISSN from LIPI Indonesia. The Paradigma Journal is intended as a media for scientific studies of research, thought and analysis-critical issues on Computer Science, Information Systems and Information Technology, both nationally and internationally. The scientific article refers to theoretical review and empirical studies of related sciences, which can be accounted and disseminated nationally and internationally. Paradigma Journal accepts scientific articles research at: Expert Systems, Information Systems, Web Programming, Mobile Programming, Games Programming, Data Mining, and Decision Support Systems.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 16 Documents
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Search results for , issue "Vol 23, No 1 (2021): Periode Maret 2021" : 16 Documents clear
E-Marketplace Usaha Mikro Kecil Dan Menengah (UMKM) Catering Untuk Wilayah Jakarta Andi Saryoko; Lutfiyah Lutfiyah
Paradigma Vol 23, No 1 (2021): Periode Maret 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (692 KB) | DOI: 10.31294/p.v23i1.9121

Abstract

Many systems and applications are made to help and simplify an activity. Likewise with the ordering system and catering ordering facilities which also take advantage of current technological developments. The process of ordering and conveying information about catering for the Jakarta area is still simple, the promotion is only by word of mouth, from personal acquaintances, or marketing through brochures to prospective customers whose market will be narrower than the internet media. Currently, no e-marketplace site specializes in catering businesses. So that their products have not been known to many people, and their conventional means of product promotion are only through brochures, business cards, or mouths of mouths. That way, the existence of e-marketplace catering can open up opportunities for catering managers in marketing their products to the wider community through the website. The system development model used to design and develop this application is the waterfall model. And this e-marketplace catering system was designed and developed using the programming language PHP, HTML, CSS using the Mysql Database. With the e-marketplace system, it can make it easier for catering businesses to promote their products to the wider community and make it easier for customers to find catering information effectively and efficiently. Using the e-marketplace system makes it easier for catering managers to manage product data collection and manage transaction data in serving customers.
Perancangan Sistem Evaluasi Online Dengan Fitur Link Login Instant Menggunakan Model Waterfall Imam Sutoyo
Paradigma Vol 23, No 1 (2021): Periode Maret 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (898.321 KB) | DOI: 10.31294/p.v23i1.9778

Abstract

The Covid-19 pandemic that has hit the world has an impact on the implementation of an online learning system for all levels of education. For the purposes of student evaluation, of course, an online evaluation system is needed. At the basic education level, the online evaluation system must be specially designed by prioritizing the ease of students accessing and carrying out evaluations. Therefore, research is needed to design an online evaluation system that is easy to use and flexible. This study aims to design an online evaluation system that can be accessed by students by simply clicking a link. So students do not need to create an account and use it to access teacher evaluations. The expected result of this research is a system that makes it very easy, especially for students at the basic education level so that all students can follow all evaluations given by the teachers easily and flexibly. Unified Modeling Language is used to make the design, while the method for system development used is the waterfall model.
Analisis Runtun Waktu Untuk Memprediksi Jumlah Mahasiswa Baru Dengan Model Arima Ayu Ulfa Jamila; Bella Merlin Siregar; Roni Yunis
Paradigma Vol 23, No 1 (2021): Periode Maret 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1014.914 KB) | DOI: 10.31294/p.v23i1.9758

Abstract

Peramalan penerimaan mahasiswa baru sangatlah penting bagi perguruan tinggi agar keputusan yang diambil perguruan tinggi dapat lebih optimal. Penelitian ini bertujuan untuk menemukan model terbaik agar dapat meramalkan jumlah mahasiswa baru untuk 5 tahun ke depan melalui analisis runtun waktu. Model yang digunakan dalam penelitian ini yaitu Model ARIMA (Autoregressive Integrated Moving Average) dengan dataset penerimaan mahasiswa baru Universitas XYZ periode 2010 sampai dengan 2019. Tahap pelaksanaan penelitian mengacu pada metode OSEMN yaitu Obtain data, Scrubbing data, Explore data, Modeling data, dan Intetpreting data. Hasil analisis menunjukkan bahwa model terbaik yaitu model ARIMA (2,1,1). Model ARIMA yang dihasilkan menunjukkan nilai MAPE sebesar 7.066147 dengan akurasi sebesar 93%. Hasil peramalan menunjukkan bahwa terjadinya trend penurunan jumlah mahasiswa baru secara merata untuk 5 tahun kedepan. Kata kunci: Peramalan, Jumlah Mahasiswa Baru, ARIMA, MAPE
Analisis Runtun Waktu Untuk Memprediksi Jumlah Mahasiswa Baru Dengan Model Random Forest Marchell Rianto; Roni Yunis
Paradigma Vol 23, No 1 (2021): Periode Maret 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (948.28 KB) | DOI: 10.31294/p.v23i1.9781

Abstract

Admission of new students is an important process in educational institutions such as tertiary institutions which is useful for screening accepted prospective students according to the criteria determined by the college. The purpose of this study is to predict the number of new students using the Random Forest model with the new student admissions dataset of XYZ University. The Random Forest Model is a machine learning algorithm that is excellent at solving classification and regression problems. Based on the research results, it was found that the resulting model has an accuracy rate of 99.8% with MSE and MAE values of 0.02% in predicting new students. The best parameter of the model with a maxnodes value of 100 and ntree 900 and a decreasing trend in the number of students for the next few years.
Perancangan Sistem Pengelolaan Keuangan Siswa Dengan Metode Prototype Anastasia Meyliana
Paradigma Vol 23, No 1 (2021): Periode Maret 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (513.296 KB) | DOI: 10.31294/p.v23i1.10394

Abstract

Each educational institution requires that student tuition payments be made every month. Payment of school fees at SMKN 1 Klaten is done by students themselves, where the recording process is done manually. In addition to manual recording, proof of payment is also stored by pasting receipts on one sheet of opaque paper, which can result in data loss. These constraints can be reduced by establishing a school fee payment system. Before the system is built, a design is needed as a benchmark for what is needed in the system. The data collection technique used in this study was to conduct interviews with mini bank staff and observations in the Bank Mini environment. The system analysis method used is the PIECES method. Meanwhile, to make a prototype using the prototype method, namely by analyzing requirements, designing databases, designing prototypes and system testing carried out by the customer. The results of the customer check are seen from the functionality of the system, namely that the system can make it easier to enter daily transaction data which is automatically stored into a database which is then compiled into a monthly report.
Penentuan Pola Pembelian Obat Pada Apotek Metro Medika Center Pejaten Barat Feronikawati Lasmaria Sitorus; Agus Salim
Paradigma Vol 23, No 1 (2021): Periode Maret 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (823.879 KB) | DOI: 10.31294/p.v23i1.9488

Abstract

In the business world, data is a very important information company in order to expand and develop its business space. The business world, especially health places such as pharmacies, clinics, and hospitals is demanded to be able to develop and improve their business strategies in drug sales. Pharmacy Metro Medica Center is a Pharmacy located in West Pejaten that still uses manual methods, with each transaction must be written in a ledger, this causes difficulties because so much transaction data exists and it will be difficult to find previous data, and there will be a possibility the data is lost because it is still manual. With the development of technology, it is necessary to process large data by using Data Mining with the Association method. This research was conducted by applying the apriori algorithm by looking at drugs/items that meet the minimum support and minimum confidence. Data mining produces association rules between items in January 2019 until December 2019, known patterns of drug sales. If you buy PARACETAMOL, you will buy AMOXICILLIN and PONSTAN with a support value of 33% and a confidence value of 66.67%.

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