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Rizki Wahyudi
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INDONESIA
Journal of Computer Science and Engineering (JCSE)
Published by Institute of Computer Science and Engineering
ISSN : -     EISSN : 27210251     DOI : https://doi.org/10.36596/jcse
Core Subject : Science,
Computer Science & IT
Computer Architecture, Processor design, operating systems, high-performance computing, parallel processing, computer networks, embedded systems, theory of computation, design and analysis of algorithms, data structures and database systems, theory of computation, design and analysis of algorithms, data structures and database systems, artificial intelligence, machine learning, data science, Information System
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol 3, No 1: February (2022)" : 5 Documents clear
Prediction of Loan Behaviour with Machine Learning Models for Secure Banking Anand, Mayank; Velu, Arun; Whig, Pawan
Journal of Computer Science and Engineering (JCSE) Vol 3, No 1: February (2022)
Publisher : ICSE (Institute of Computer Sciences and Engineering)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Given loan default prediction has such a large impact on earnings, it is one of the most influential factor on credit score that banks and other financial organisations face. There have been several traditional methods for mining information about a loan application and some new machine learning methods of which, most of these methods appear to be failing, as the number of defaults in loans has increased. For loan default prediction, a variety of techniques such as Multiple Logistic Regression, Decision Tree, Random Forests, Gaussian Naive Bayes, Support Vector Machines, and other ensemble methods are presented in this research work. The prediction is based on loan data from multiple internet sources such as Kaggle, as well as data sets from the applicant's loan application. Significant evaluation measures including Confusion Matrix, Accuracy, Recall, Precision, F1- Score, ROC analysis area and Feature Importance has been calculated and shown in the results section. It is found that Extra Trees Classifier and Random Forest has highest Accuracy of using predictive modelling, this research concludes effectual results for loan credit disapproval on vulnerable consumers from a large number of loan applications
Comparison of the Accuracy of Sentiment Analysis on the Twitter of the DKI Jakarta Provincial Government during the COVID-19 Vaccine Time Winanto, Adi; Budihartanti, Cahyani
Journal of Computer Science and Engineering (JCSE) Vol 3, No 1: February (2022)
Publisher : ICSE (Institute of Computer Sciences and Engineering)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jcse.v3i1.249

Abstract

Currently, the Government is intensively utilizing social media, one of which is Twitter as a place of interaction with the community. The results of these interactions can be used as feedback to determine whether public opinion on public policies is positive or negative. Tweets from users can be a supporting parameter for the government in evaluating future policies and decision making by applying the sentiment analysis method. This study aims to determine positive or negative sentiments on user tweets against the official twitter account of the DKI Jakarta Provincial Government during the COVID19 vaccine period. The data obtained are 1658 lines from March 30 to April 5, 2021 with queries on tweets containing words or mentioning the username @dkijakarta, which will be grouped by sentiment class, namely negative and positive using the TF-IDF Vectorizer for word weighting and classification using several methods, namely, nave Bayes with accuracy values. 82.50% with class recall on positive sentiment 88% and negative 77% and in class precision showing positive at 79.28% and negative at 86.52% in the rapid miner application then k-NN with an accuracy value of 81.50% with class recall on positive sentiment 85% and negative 78% and class precision shows positive at 79.44% and negative at 83.87% in the rapid miner application. And the accuracy value of the best method in this training data classification comparison is nave Bayes, the results the end of testing the sample dataset using the nave Bayes method with 84.80% accuracy with class recall at 85.01% positive sentiment and 84.59% negative sentiment and at c lass precision shows positive at 85.21% and negative at 84.38% in rapid mining applications.
Pengunaan Metode Scrum Dalam Pengembangan Perangkat Lunak: Literature Review Rizky, Muhamad; Sugiarti, Yuni
Journal of Computer Science and Engineering (JCSE) Vol 3, No 1: February (2022)
Publisher : ICSE (Institute of Computer Sciences and Engineering)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jcse.v3i1.353

Abstract

Abstrack: The use of scrum in software engineering as a system development method is considered effective and quite easy to apply in application development. Many Start-up industries as well as IT companies use this method. In software development, Scrum has an iterative and incremental nature that makes this company able to continue to compete in improving its products in the market. Scrum itself is a method that is not rigid, but a framework whose application can be used in various tools and techniques. The purpose of this research is to find out how to use the scrum method in software development and to find out how to deal with the problem of using scrum which has a complex process. The methodology used in this research is literature study. The results of this study are the use of Scrum in software development can be utilized according to the need to both help and solve existing problems in the framework of software development. In solving problems that exist in Scrum related to such a complex process, the step that needs to be done is to identify the cause of the problem. Which is then continued by discussing the right solution with the team in order to find a way out of every problem that exists in each process.Abstrak: Penggunaan scrum dalam rekayasa perangkat lunak sebagai metode pengembangan sistem dianggap efektif dan cukup mudah diterapkan dalam pengembangan aplikasi. Banyak industri Star-up maupun juga perusahaan TI menggunakan metode ini. Dalam pengembangan perangkat lunak Scrum ini memiliki sifat yang iterative dan juga incremental yang menjadikan perusahaan ini bisa terus bersaing dalam meningkatkan produknya dipasaran. Scrum sendiri merupakan metode yang tidak kaku, melainkan framework yang penerapannya ini bisa digunakan dalam berbagai tools maupun juga teknik.  Tujuan penelitian ini adalah untuk mengetahui bagaimana penggunaan metode scrum dalam pengembangan perangkat lunak dan mencari bagaimana langkah menangani permasalahan penggunaan scrum yang memiliki proses yang kompleks. Metodologi  yang digunakan  dalam penelitian ini adalah studi literatur. Hasil penelitian ini adalah penggunan scrum dalam pengembangan perangkat lunak dapat dimanfaatkan  sesuai dengan kebutuhan baik membantu maupun menyelesaikan permasalahan yang ada dalam rangka pengembangan perangkat lunak. Dalam menyelesaikan permasalahan yang ada pada scrum terkait proses yang begitu kompleks, langkah yang perlu dilakukan adalah dengan mengidentifikasi penyebab masalah. Yang kemudian dilanjutkan dengan mendiskusikan solusi yang tepat dengan tim agar mencari jalan keluar dari setiap permasalahan yang ada dalam setiap prosesnya.
Usulan Perencanaan Enterprise Architecture Aplikasi Flip.id Menggunakan TOGAF ADM Rizky, Muhamad; Amri, Faaza Bil; Rosidah, Ani; Styaningrum, Nanda Putri; Fitroh, Fitroh
Journal of Computer Science and Engineering (JCSE) Vol 3, No 1: February (2022)
Publisher : ICSE (Institute of Computer Sciences and Engineering)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jcse.v3i1.367

Abstract

ABSTRACT: Financial Technology is used as a tool to accelerate and facilitate financial services arising from innovations in the financial services industry. One of the fintechs in the field of fund transfer services that is well known to many people is Flip.id. The problems that often occur in the process of interbank money transfer transactions are a consideration for users to use the Flip.id application or prefer to use other platforms. The problems that occur with Flip.id are the refund system, unsatisfactory service, and speed in transactions. This can be born from a bad corporate architecture. The purpose of this study is to provide suggestions about enterprise architecture planning on the Flip.id application. The method used in problem solving is using the TOGAF ADM framework based on previous research literature studies. This research will produce an IT Blueprint for users to feel comfortable and have loyalty for future evaluations of the Flip.id company.ABSTRAK: Financial Technology digunakan sebagai alat untuk mempercepat dan memudahkan pelayanan keuangan yang timbul akibat inovasi pada industri jasa keuangan. Salah satu fintech dalam bidang jasa transfer dana yang sudah dikenal banyak orang adalah Flip.id. Permasalahan yang banyak terjadi pada proses transaksi pengiriman uang antarbank menjadi pertimbangan untuk para pengguna akan menggunakan aplikasi Flip.id atau lebih memilih menggunakan platform lain. Masalah yang terjadi pada Flip.id yakni sistem pengembalian dana, pelayanan yang kurang memuaskan, serta kecepatan dalam transaksi. Hal tersebut bisa lahir dari arsitektur perusahaan yang kurang baik. Tujuan dari penelitian ini untuk memberikan usulan tentang perencanaan enterprise architecture pada aplikasi Flip.id. Metode yang digunakan dalam pemecahan masalah yakni menggunakan framework TOGAF ADM berdasarkan studi literatur penelitian sebelumnya.  Penelitian ini akan menghasilkan IT Blueprint untuk para pengguna agar mendapatkan kenyamanan dan memiliki loyalitas untuk evaluasi perusahaan Flip.id kedepannya.
Performance study of the Memory Utilization of an Improved Pattern Matching Algorithm using Bit-Parallelism Oladunjoye, John Abiodun; Timothy, Moses; James, Okpor; Raphael, Baku Agyo
Journal of Computer Science and Engineering (JCSE) Vol 3, No 1: February (2022)
Publisher : ICSE (Institute of Computer Sciences and Engineering)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jcse.v3i1.460

Abstract

The strategy of packing several data values in a single computer word and refreshing them all in a solitary operation is referred to bit parallelism. It assumes a significant part in pattern matching because it can handle in parallel the length of pattern sizes. In this paper, an Improved Pattern Matching model (IPM) proposed, which makes searching process quicker and decreases how much memory used in processing input data. C Sharp was used for the development of the model. With a computer word size of 64bits and pattern length ranging from 8 characters to 72 characters, the system decides how much memory is used. The developed model was evaluated and contrasted with the existing model using 64bits computer word size (cws) and the pattern length of 72 characters. The assessment showed that the IPM had minimal worth of MU contrasted with the existing model (BNDM, SBNDM, and FSBNDM). This IPM model can be embraced for improvement of the size of string data stored in computer word because of its capacity to diminish memory space usage.

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