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All Journal JOIV : International Journal on Informatics Visualization JIKA (Jurnal Informatika) AT-TIJARAH: Journal Islamic Banking and Finance Research
Puspita Sari, Anggi
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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MANAJEMEN BANDWIDTH DENGAN METODE HIERARCHICAL TOKEN BUCKET (HTB) PADA LEMBAGA AMIL ZAKAT NURUL HAYAT TANGERANG Puspita Sari, Anggi
Jurnal Informatika Vol 5, No 2 (2021): JIKA (Jurnal Informatika)
Publisher : University of Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jika.v5i2.4501

Abstract

Kehadiran teknologi informasi dan komunikasi pada saat ini membuat kebutuhan manusia mengalami perubahan. Komputer dan  internet menjadi kebutuhan manusia yang sangat penting untuk menunjang aktifitas sehari-hari, khususnya dalam bidang bisnis demi keperluan aktivitas perusahaan agar berjalan baik. Manajemen bandwidth diperlukan agar koneksi jaringan komputer teratur dalam penggunaannya. Akan tetapi masalah sering muncul dalam jaringan komputer yaitu buruknya konektifitas bandwidth internet akibat pembagian bandwidth yang tidak merata. Belum adanya manajemen bandwidth internet pada kantor Lembaga Amil Zakat Nurul Hayat menyebabkan penggunaan bandwidth yang tidak merata dan tidak stabil. Dengan penerapan HTB (Hierarchical Token Bucket) adalah salah satu metode yang dapat digunakan untuk membuat QOS (Quality of services) atau sering juga disebut dengan bandwidth management. Dengan penerapan manajemen bandwidth diharapkan agar penggunaan bandwidth internet bisa lebih efektif dan juga efisien. Sehingga tiap-tiap komputer mempunyai bandwidth yang cukup untuk keperluan kerja para karyawan saat melayani para pelanggan secara online.
EXAMINING INDONESIA'S ISLAMIC COMMERCIAL BANKS HEALTH STATUS USING THE RBBR METHOD Puspita Sari, Anggi; Sukardi, Budi
AT-TIJARAH: Jurnal Penelitian Keuangan dan Perbankan Syariah Vol. 5 No. 2 (2023): AT-TIJARAH: Jurnal Penelitian Keuangan dan Perbankan Syariah
Publisher : Fakultas Ekonomi dan Bisnis Islam - IAIN Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52490/attijarah.v5i2.2131

Abstract

The scientific importance of Indonesia's Islamic banks' state is the focus of this study using a strategy based on the Risk-based Bank Rating technique. This quantitative descriptive research analyzes the health of Indonesia's Islamic commercial banks, namely Bank Syariah Indonesia and Bank Muamalat Indonesia, for the years 2019 to 2022, focusing on the degree of bank health as measured by the RBBR approach. The study's data analysis leads to the conclusion that Bank Syariah Indonesia's overall condition is represented by a Composite Rank 2 (PK-2) of 85% in 2019, meaning that it is deemed "Healthy" and capable of withstanding significant negative influences from changes in business conditions and other external factors. However Bank Muamalat Indonesia's overall composite rating (PK3), or "Healthy Enough," corresponds to the bank's evaluation of its health level from 2019 to 2022 using the Risk-based Bank Rating method, which includes indicators of Risk Profile, Good Corporate Governance, Earnings (Rentability), and Capital as a whole.
Prediction of Cross-Platform and Native Apps Technology Opportunities for Beginner Developers Using C 4.5 and Naive Bayes Algorithms Gunawan, Wawan; Wiradiputra, Raychal Ababil; Puspita Sari, Anggi; Prayama, Deddy; Rikardo Nainggolan, Esron
JOIV : International Journal on Informatics Visualization Vol 7, No 4 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.7.4.1514

Abstract

The competition between native and cross-platform app development makes application development simpler, safer, and more scalable. However, developers must have sufficient fundamentals, and the industry must conduct good research to shorten development time and minimize expenses. In order to solve these problems, this study made a prediction that discusses the technology that has a chance to survive in the industry so as not to be left behind in technology. Using Naïve Bayes and C 4.5 algorithms into a dataset with nine programming languages related to mobile app development. Results obtained in This research show Dart as a programming language that supports cross-platform frameworks and Kotlin as a programming language that supports native app frameworks is a technology that would have the opportunity in the future with an accuracy level above 90% with Naïve Bayes and C 4.5 algorithms. These results are obtained by testing an algorithm model using MAPE, consistent dataset sharing, and careful data processing. This research Can help entry-level developers learn and deepen the fundamentals of technology and can add knowledge to the industry in choosing a technology.
Co-Authors Budi Sukardi Deddy Prayama Rikardo Nainggolan, Esron Wawan Gunawan Wiradiputra, Raychal Ababil