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Achmad Solichin
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Bit (Fakultas Teknologi Informasi Universitas Budi Luhur)
Published by Universitas Budi Luhur Jakarta
ISSN : 16939166     EISSN : 2685127X     DOI : http://dx.doi.org/10.36080/bit.v18i2.1618
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
JURNAL BIT (Budi Luhur Information Technology) merupakan Jurnal yang diterbitkan oleh Fakultas Teknologi Informasi, Universitas Budi Luhur dengan jadwal publikasi dua kali dalam satu tahun (April dan September). Jurnal BIT bertujuan sebagai media pertukaran informasi, pengetahuan mengenai pengembangan dan ilmu komputer serta keterkaitan dengan disiplin ilmu lainnya. Fokus dan Ruang Lingkup pada Jurnal BIT: System Engineering, Expert System, Decision Support System, Data Mining, Artificial Intelligence (AI), Computer Network, Computer Engineering, Image Processing, Genetic Algorithm, Information System, Business Intelligence dan Knowledge Management, Database System, Big Data, Enterprise Computing, Robotic, Internet of Things, Data Science, dan Topik studi lain yang relevan
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 7 Documents
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Search results for , issue "Vol 18, No 2 (2021): SEPTEMBER 2021" : 7 Documents clear
Prediksi Jumlah Pasien Sembuh COVID-19 Menggunakan Jaringan Syaraf Tiruan Giri Sarah Mustika; Utomo Budiyanto; Subandi Subandi
Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Vol 18, No 2 (2021): SEPTEMBER 2021
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3132.528 KB) | DOI: 10.36080/bit.v18i2.1667

Abstract

Diseases experienced by humans can be sourced from various things such as bacteria, viruses, fungi and others. Serious diseases that have been experienced in the world include MERS, SARS, Ebola, HIV/AIDS and many more. In 2019, the World Health Organization (WHO) received a report about a group of patients with pneumonia of unknown cause from the same city, namely Wuhan, the capital of Central China's Hubei Province, named Corona Virus Disease-19 (COVID-19). This COVID-19 has made all affected countries become overprotective of their communities and regions. The number of people who have tested positive for the virus, recovered and even died is increasing every day. One of the public's questions regarding the number of recovered patients is a question that is waiting for an answer because the addition of cured patients is good news for all levels of society in the world. The problem in this study is how to predict the number of recovered patients. This question can be answered with predictions through existing methods, so the purpose of this study is to utilize a Backpropagation Artificial Neural Network which has high accuracy to predict the number of recovered COVID-19 patients in each country with the learning rate, hidden layer, neurons in hidden layers and epochs. The input values for the Backpropagation Neural Network method are the number of positive patients, the number of patients dying, the number of positive cases per day, and the number of cases dying per day. The architecture used is [4-4-1] which means it consists of 4 input values and 4 neurons in the hidden layer and will produce 1 output value. The amount of data used is 171 countries from January 22, 2020 to June 21, 2020 with a total data of 25,992 and produces an average value of 90.9% accuracy.
Rekomendasi Reward Menggunakan Metode SAW Dengan Kode OTP Via Telegram Sebagai Pengamanan Login Menggunakan Algoritme SHA1 Septian Apriyanto; Ahmad Pudoli; Dewi Kusumaningsih
Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Vol 18, No 2 (2021): SEPTEMBER 2021
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2627.138 KB) | DOI: 10.36080/bit.v18i2.1669

Abstract

As a step to motivate employees to maximize billing and achieve the targets set by PT Telkom, the enterprise service division applies rewards once a month for employees who have the highest values for criteria such as absenteeism, honesty, loyalty and target achievement. So far, the assessment system for the monthly reward recipients is assessed and decided directly by the manager of the enterprise service division which is considered to lack transparency in providing values because employees do not know how much value the enterprise service manager gives to employees for each of the predetermined criteria, so it is still there are some employees who feel they are not being treated fairly because their performance is considered to be maximum but still have not received a reward from the company. In this web-based Decision Support System, the researcher applies the SAW method which is considered fair enough in providing calculations to draw the reward recipient's decision recommendations because each criterion will have a weighted value and normalization calculations whose divisors will be taken from the maximum value. In operating this application, a security system is also made at the login for the admin account which acts as a value giver, in order to avoid problems in the future if there are irresponsible parties who know the admin username and password and then change the value that has been given. The security system built uses a One Time Password (OTP) code which will be encrypted in the database using the SHA-1 algorithm, which will then be sent via the telegram chat application. From the results of the calculation of the sample data that has been carried out, it is found that the employee with the highest score was selected as the recipient of the reward with a value of 0.96879359983694 / 96.88%.
Implementasi E-Commerce Dengan Metode Business Model Canvas Pada Toko Sepatu Rapillo Dimas Dwi Kurniawan; Ady Widjaja
Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Vol 18, No 2 (2021): SEPTEMBER 2021
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1227.969 KB) | DOI: 10.36080/bit.v18i2.1696

Abstract

In the current era of technology, where all businesses must have a way of how their business must survive so that it always exists and develops and is able to compete with competitors and is also known to the wider community, business people must understand consumer behavior that has changed from time to time, from conventional to modern online where many business people use technology to market their products. As one of the small businesses in the shoe sales business, The Rapillo Store is constrained by many problems so that sales are not optimal due to the absence of promotional media, to overcome these problems an e-commerce website was designed as a sales and promotion medium, as for the approach used the author uses a qualitative approach, qualitative research is research that is descriptive and tends to use analysis, in terms of collecting data the author uses interview techniques, observation and reading some literature, while the analysis in the author's business process uses the Business Model Canvas method, Business Model Canvas is a tool in strategy business management to translate concepts, consumers, infrastructure and company finances in the form of visual elements. With the existence of an e-commerce website, it is expected to be able to increase sales of the Rapillo store and as a store promotion media to get more consumers.
Implementansi Model Knowledge Management System Pada Pelayanan Sertifikasi Algoritma Retno Wulandari; Reva Ragam Santika; Yudi Wiharto; Ari Saputro
Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Vol 18, No 2 (2021): SEPTEMBER 2021
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2106.978 KB) | DOI: 10.36080/bit.v18i2.1618

Abstract

Algorithm certification is a mandatory activity for students of the Information Technology Faculty at Budi Luhur University before their take final assignments and is managed by the faculty secretariat as a service unit for algorithm certification. Currently, Knowledge in algorithm certification services still relies on the ability of one person, so that if there any change of manager will cause the loss of explicit and tacit knowledge because they have no knowledge management which can help the manager to collect Knowledge to continue the management of algorithm certification. The purpose of this study is to make a proposed Knowledge Management model as a knowledge management center for algorithmic certification management for facilities for documenting, discussing, utilizing knowledge according to institutional regulations, and creating applications that can manage knowledge and share related to algorithmic certification activity services. This study uses the Tiwana framework model, and the method of scoring the results of system testing using Likert scale measurements, Forum Group Discussion (FGD), as a system prototype testing using the ISO 9126 method. The results of the analysis will produce a model and knowledge management system that is can be a solution in documenting and exchanging knowledge in applications to the algorithm certification unit.
Penerapan E-Commerce Content Management System Menggunakan Metode Business Model Canvas Studi Kasus Qorina Garden Abi Nala Wiatma; Grace Gata; Anita Ratnasari
Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Vol 18, No 2 (2021): SEPTEMBER 2021
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/bit.v18i2.1623

Abstract

Qorina Garden is a line of business that is engaged in the sale of ornamental plants that was established in September 2020. Currently all transactions at Qorina Garden are carried out in the conventional way, namely by meeting face to face or via whatsapp chat. This is a problem for Qorina Garden because conventional sales will be limited by the scope of time and distance between the seller and the buyer. For this reason, after conducting interviews and observations, astore is needed online -based website e-commerce that is able to provide detailed information to customers. website Thiswas created using the Content Management System WordPress and plugins supporting. This website was developed using the methods Business Model Canvas and Unified Modeling Language. In this website there are features to input product data, create product categories, process orders, verify payments, and print reports every month to find out the profit of sales. So it is hoped that with this website, Qorina Garden will have a positive impact in the form of a wider marketing coverage so that it is able to answer sales problems and can increase sales and income at Qorina Garden
Cover Depan Vol.18 No. 2 Atik Ariesta
Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Vol 18, No 2 (2021): SEPTEMBER 2021
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/bit.v18i2.1987

Abstract

Halaman Sampul dan Daftar Isi Vol.18 No. 2
Cover Belakang Vol. 18 No. 2 Atik Ariesta
Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Vol 18, No 2 (2021): SEPTEMBER 2021
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/bit.v18i2.1988

Abstract

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