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Rancang Bangun Aplikasi Belajar Membaca Al-Qur'an Berbasis Android Fadhil Naufal Shodiq; Rachmat Adi Purnama; Sujiliani Heristian
Computer Science (CO-SCIENCE) Vol. 1 No. 1 (2021): Januari 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v1i1.127

Reading the Al-Qur'an has always been a culture of Indonesian society, however recently the Al-Qur'an has begun to be abandoned. Muslims are more engrossed in following games and social media with fun playing than opening the Al-Quran mushaf. In order not to have hijaiyah illiterate young people, they must carry out learning that follows the present era, such as learning applications that are not inferior to applications that make young Muslims lazy, the main target in the learning method of reading the Al-Quran application is children at an early age to learn it because children at an early age have quite good comprehension and memory. Based on the background that the authors convey above, the authors are interested in conducting further research on learning methods based on reading the Al-Quran application. The system development method used in this study uses the RAD (Rapid Application Development) Model. Rapid Application Development (RAD) is a software development process model that is incremental, especially for short processing times. The results of the research show that learning with an interactive system increases children's interest in starting the initial learning process. In addition, interactive games are an alternative in conveying learning among other methods.

Komparasi Static Routing Menggunakan IPv4 Dengan IPv6 Guna Meningkatkan Quality Of Service Tommi Alfian Armawan Sandi; Rachmat Ad Purnama; Firmansyah Firmansyah; Sujiliani Heristian
Computer Science (CO-SCIENCE) Vol. 2 No. 1 (2022): Januari 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v2i1.891

The use of technology has recently increased in line with the increase in devices connected to the internet. The IP capacity that covers the device is starting to get out of hand. Routing is needed when the local network is already complex, especially broadcast traffic is only concentrated in each subnet/network. When using IPv4 and IPv6, a routing protocol is required for data exchange or interconnection from client to client or client to server. IPv4 routing performance decreases as the size of the routing table increases, this is due to checking the MTU header on each router and hop switch. IPv6 with its routing process is much more efficient than its predecessor, and also has the ability to manage the large capacity of the route table, so in this study the authors compare IPv4 and IPv6 in terms of static routing efficiency on MikroTik routers.

Analisis Load Balancing Menggunakan Metode Pcc (Per Connection Classifier) Pada Badan Pengelolaan Keuangan Dan Aset Daerah (Bpkad) Kabupaten Bogor Sujiliani Heristian Sujiliani; Septiyan Dwi Cahyo
Computer Science (CO-SCIENCE) Vol. 3 No. 1 (2023): Januari 2023
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v3i1.1734

Along with the increasing human need for information technology, the development of information technology is increasingly spurred. This development is in line with advances in information technology and computer networks that use technology that applies automation to the system. Internet connection at the Regional Financial and Asset Management Agency Kab. Bogor uses 2 Internet Service Providers. When one of the ISPs experiences a problem, the internet service will be disrupted and must be configured manually. The purpose of writing this final project is to keep the internet connection stable and not interfere with employee performance. The writing of this final project uses the methods of interview, observation, and literature study. The purpose of this study is how the author applies load balancing techniques that can overcome problems related to connection paths from 2 ISPs. One solution to deal with this problem is to use the method per connection classifier. The per connection classifier allows routers to remember the incoming and outgoing data paths that were passed at the beginning of the connection traffic. By implementing the load balancing technique using the per connection classifier method, it is hoped that the internet connection will be stable and not interfere with the performance of the employees.

Rancang Bangun Sistem Informasi Akademik Berbasis Website Dengan Metode SDLC Wati Erawati; Sujiliani Heristian; Rachmat Adi Purnama
Computer Science (CO-SCIENCE) Vol. 3 No. 2 (2023): Juli 2023
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v3i2.1918

In the conditions of today's globalization, information technology is developing rapidly. School really need an academic information system that supports and makes it easy for staff and parents of student.This research is motivated by a lack of information about children’s learning development. And because parents of schoolchildren lack information about their children's learning, the result is that parents do not know the development of their child’s school learning. The purpose of this research is of course to provide benefits for staff, teacher and parents to make it easier to get information or the results of school development from students. The method that the author uses in developing this software is the SDLC (Software Development Life Cycle) waterfall model. Therefore, researchers try to help with problems that exist in schools such as the lack of updating of data or information contained in schools. By creating a computerized system, it is hoped that it can work to help teacher provide information to parents of students. A web-based system that contains student attendance list, student daily activity plans, and report cards which are the end result of student development at school.The author tested this academic information system by using a regression test. The test results show that this system meets the test success criteria, such as acccuracy and speed in processing data. A website-based academic information system using the SDLC method can help users manage academic data easily, quicly and accurately. The SDLC method used can help develop a good and correct system, and according to user needs.

Klasifikasi Perilaku Pemain Game Online Menggunakan Naïve Bayes Berbasis Particle Swarm Optimization Heristian, Sujiliani; Anwar, Rian Septian; Kautsar, Hanggoro Aji Al
Computer Science (CO-SCIENCE) Vol. 4 No. 2 (2024): Juli 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v4i2.4433

Much research has been conducted to understand player behavior as a result of the rapid growth of online gaming. In this research, we use the Naive Bayes method optimized using Particle Swarm Optimization (PSO) to analyze the behavior classification of online game players. The classification accuracy value of the baseline method is 75.09% and the Area Under the Curve (AUC) value is 0.798. We use PSO-based optimization on Naïve Bayes to improve model performance. The results showed that the combination of Naïve Bayes and PSO increased classification accuracy to 95.28% with an AUC value of 0.990. This is a major advance that shows that combining the PSO algorithm with Naive Bayes can enable better classification of online game player behavior. These findings will make a significant contribution to the process of making plans that can improve the gaming experience.

Analisis Sentimen Ulasan Pelanggan Menggunakan Algoritma Naive Bayes pada Aplikasi Gojek Heristian, Sujiliani; Napiah, Musriatun; Erawati, Wati
Computer Science (CO-SCIENCE) Vol. 5 No. 1 (2025): Januari 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v5i1.7775

Transportation is a means that a person uses to move from one place to another. One mode of transportation that is popular among the public is online motorcycle taxis, such as Gojek. Gojek continues to innovate to meet customer needs more effectively, as well as expand the scope of its services. This research aims to identify the number of positive and negative sentiments in the user review dataset, evaluate the performance of the algorithm used, and measure the level of customer satisfaction with Gojek services. Analysis was carried out on 6,485 customer reviews, which resulted in 4,387 positive sentiments and 2,098 negative sentiments. The classification model used, namely Naive Bayes, shows an accuracy of 88.5%, precision of 88.1%, and recall of 89.0%. The results of this research indicate that the Naive Bayes method provides good performance in analyzing the sentiment of user reviews of Gojek services

Klasifikasi Perilaku Pemain Game Online Menggunakan Naïve Bayes Berbasis Particle Swarm Optimization Heristian, Sujiliani; Anwar, Rian Septian; Kautsar, Hanggoro Aji Al; Sujiliani, Sujiliani Heristian; A
Computer Science (CO-SCIENCE) Vol. 4 No. 2 (2024): Juli 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v4i2.4433

Much research has been conducted to understand player behavior as a result of the rapid growth of online gaming. In this research, we use the Naive Bayes method optimized using Particle Swarm Optimization (PSO) to analyze the behavior classification of online game players. The classification accuracy value of the baseline method is 75.09% and the Area Under the Curve (AUC) value is 0.798. We use PSO-based optimization on Naïve Bayes to improve model performance. The results showed that the combination of Naïve Bayes and PSO increased classification accuracy to 95.28% with an AUC value of 0.990. This is a major advance that shows that combining the PSO algorithm with Naive Bayes can enable better classification of online game player behavior. These findings will make a significant contribution to the process of making plans that can improve the gaming experience.

Klasifikasi Perilaku Pemain Game Online Menggunakan Naïve Bayes Berbasis Particle Swarm Optimization Heristian, Sujiliani; Anwar, Rian Septian; Kautsar, Hanggoro Aji Al; Sujiliani, Sujiliani Heristian; A
Computer Science (CO-SCIENCE) Vol. 4 No. 2 (2024): Juli 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v4i2.4433

Much research has been conducted to understand player behavior as a result of the rapid growth of online gaming. In this research, we use the Naive Bayes method optimized using Particle Swarm Optimization (PSO) to analyze the behavior classification of online game players. The classification accuracy value of the baseline method is 75.09% and the Area Under the Curve (AUC) value is 0.798. We use PSO-based optimization on Naïve Bayes to improve model performance. The results showed that the combination of Naïve Bayes and PSO increased classification accuracy to 95.28% with an AUC value of 0.990. This is a major advance that shows that combining the PSO algorithm with Naive Bayes can enable better classification of online game player behavior. These findings will make a significant contribution to the process of making plans that can improve the gaming experience.

Analisis Sentimen Ulasan Pelanggan Menggunakan Algoritma Naive Bayes pada Aplikasi Gojek Heristian, Sujiliani; Napiah, Musriatun; Erawati, Wati
Computer Science (CO-SCIENCE) Vol. 5 No. 1 (2025): Januari 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v5i1.7775

Transportation is a means that a person uses to move from one place to another. One mode of transportation that is popular among the public is online motorcycle taxis, such as Gojek. Gojek continues to innovate to meet customer needs more effectively, as well as expand the scope of its services. This research aims to identify the number of positive and negative sentiments in the user review dataset, evaluate the performance of the algorithm used, and measure the level of customer satisfaction with Gojek services. Analysis was carried out on 6,485 customer reviews, which resulted in 4,387 positive sentiments and 2,098 negative sentiments. The classification model used, namely Naive Bayes, shows an accuracy of 88.5%, precision of 88.1%, and recall of 89.0%. The results of this research indicate that the Naive Bayes method provides good performance in analyzing the sentiment of user reviews of Gojek services

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