Computer Science (CO-SCIENCE)
Computer Science (CO-SCIENCE) pertama kali publikasi tahun 2021 dengan nomor ISSN (Elektonik): 2774-9711 yang diterbitkan oleh Lembaga Ilmu Pengetahuan Indonesia (LIPI). Computer Science (CO-SCIENCE) adalah jurnal yang diterbitkan oleh Program Studi Ilmu Komputer Universitas Bina Sarana Informatika. Computer Science (CO-SCIENCE) terbit 2 kali setahun (Januari dan Juli) dalam bentuk elektronik. Redaksi menerima naskah berupa artikel ilmiah dan penelitian pada bidang: Networking, Aplication Mobile, Software Engineering, Web Programming, Mobile Computing, Cloud Computing, Data Mining, dan Aplikasi Sains.
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<![CDATA[Sistem Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Dengan Metode AHP Pada PT Telkom Witel Kalbar: Sistem Pendukung Keputusan, Pemilihan Karyawan Terbaik, Metode AHP ]]>
<![CDATA[Wira Prasetyo]]>;
<![CDATA[Eni Heni Hermaliani]]>;
<![CDATA[Riyan Latifahul Hasanah]]>
<![CDATA[ Computer Science (CO-SCIENCE) Vol. 3 No. 1 (2023): Januari 2023 ]]>
Publisher : <![CDATA[LPPM Universitas Bina Sarana Informatika ]]>
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DOI: 10.31294/coscience.v3i1.1351
<![CDATA[PT.Telkom Witel Kalbar currently has many employees but with so many employees, the selection of the best employees is done manually so that the company is still difficult to determine the best employees. With these problems, researchers are interested in conducting research in the form of a decision support system that can later help from the company to determine the selection of the best employees in the form of a application. The Analytical Hierarchy Process (AHP) is a theory that contains measurements used to find the ratio scale by means of pairwise comparisons between factors. This study uses the Analytical Hierarchy Process method as an alternative solution to the decision support system for selecting the best employees at PT. Telkom Witel Kalbar. The application of the AHP method is considered capable of providing an initial value of subjective problems and then becoming objective so as to increase the level of accuracy in selecting the best employees so as to get the results of the research, namely Mr. Satria became the best employee.]]>
<![CDATA[Penerapan Metode Profile Matching Pada Promosi Jabatan Karyawan Di PT. United Tractors ]]>
<![CDATA[Monica Honay Ng Cuar]]>;
<![CDATA[Sulistianto Sutrisno Wanda]]>
<![CDATA[ Computer Science (CO-SCIENCE) Vol. 3 No. 1 (2023): Januari 2023 ]]>
Publisher : <![CDATA[LPPM Universitas Bina Sarana Informatika ]]>
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DOI: 10.31294/coscience.v3i1.1527
<![CDATA[The company does not yet have a system that can help provide recommendations to companies in determining the best employees as one of the conditions for promotion. The system used is GAP competence. Competency GAP compares individual competencies to job competencies so that differences in competence are obtained. This study aims to create a decision-making model for promotion using the profile matching method, in order to be able to find out the assessment process objectively and transparently in accordance with the provisions at PT. United Tractors. The method used is quantitative because the research data is in the form of numbers. The results showed that the decision support system for promotion using the profile matching method through the process of collecting and analyzing data as well as the process of determining the ranking of employees of PT. United Tractors begins with determining the Gap, the weight of the Gap value, grouping the core factors and secondary factors, calculating the total value and finally determining the ranking. ]]>
<![CDATA[Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Menggunakan Metode WP Pada PT. Steadfast Marine, Pontianak ]]>
<![CDATA[Deliana Sianipar]]>;
<![CDATA[Hendri Hendri]]>
<![CDATA[ Computer Science (CO-SCIENCE) Vol. 3 No. 1 (2023): Januari 2023 ]]>
Publisher : <![CDATA[LPPM Universitas Bina Sarana Informatika ]]>
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DOI: 10.31294/coscience.v3i1.1566
<![CDATA[The best employees have the potential to increase a company's productivity, which in turn increases profits. However, the problem with PT. Steadfast Marine, a Pontianak-based company that designs and builds ships, has not done the best job of hiring the best employees. Therefore, human resource management, namely using the weighted product (WP) method to select the best employees and improve employee performance in order to remain competitive in the business world, is an important component of successful business operations. Using multiplication to relate the value of the criteria, where each criterion must be raised to the first rank, with the weight of the relevant criteria, taking into account the criteria and weights. To select the best employees accurately and computerized, DSS can help provide solutions. Research was conducted to see and prove the truth and develop pre-existing knowledge by using criteria and applying them to web applications. The employee who was selected as the best employee among the alternatives in the company can be seen from the calculation results. Leading the administration of selecting the best employees. The highest score of 0.0490 as an employee eligible for an award from the company was obtained on behalf of Sau Kong.]]>
<![CDATA[Analisis Load Balancing Menggunakan Metode Pcc (Per Connection Classifier) Pada Badan Pengelolaan Keuangan Dan Aset Daerah (Bpkad) Kabupaten Bogor ]]>
<![CDATA[Sujiliani Heristian Sujiliani]]>;
<![CDATA[Septiyan Dwi Cahyo]]>
<![CDATA[ Computer Science (CO-SCIENCE) Vol. 3 No. 1 (2023): Januari 2023 ]]>
Publisher : <![CDATA[LPPM Universitas Bina Sarana Informatika ]]>
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DOI: 10.31294/coscience.v3i1.1734
<![CDATA[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.]]>
<![CDATA[Rancangan Kansei Engineering System (KES) untuk Optimasi Hasil Pencarian Berdasarkan Kategori Emosi ]]>
<![CDATA[Euis Nurlaelasari]]>;
<![CDATA[Eko Pramono]]>
<![CDATA[ Computer Science (CO-SCIENCE) Vol. 3 No. 1 (2023): Januari 2023 ]]>
Publisher : <![CDATA[LPPM Universitas Bina Sarana Informatika ]]>
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DOI: 10.31294/coscience.v3i1.1795
<![CDATA[The design of a product will greatly influence a person's interest in the product and provide an overview of the impression of the product. Kansei Engineering is a method of determining product design based on feelings or emotions. The design of the product will be translated into human emotions. A brightly colored plate with a flower shape can be interpreted as a joyful emotion. This makes humans have an attachment to the product because of the emotional connection. Therefore, this research will implement the Kansei engineering method for products in e-commerce. This goal is motivated by e-commerce trends that will continue to develop in the future. The results of this study are the design of the Kansei system for searching products in e-commerce catalogs based on emotion. The conclusion of this research is to develop the best emotion-based product search algorithm and design the Kansei system with the main function of emotion-based product search. Based on the results that have been obtained, further research is expected to use a certain algorithm to automate the knowledge base processing which is very much needed in KES.]]>
<![CDATA[Manajemen Keamanan Internet Menggunakan Metode Firewall Filtering Untuk Penyaringan Konten Pada Router Mikrotik RB1100 ]]>
<![CDATA[Sidik Sidik]]>;
<![CDATA[David Saputra Hasiholan Panjaitan]]>;
<![CDATA[Priatno Priatno]]>;
<![CDATA[Esron Rikardo Nainggolan]]>
<![CDATA[ Computer Science (CO-SCIENCE) Vol. 3 No. 2 (2023): Juli 2023 ]]>
Publisher : <![CDATA[LPPM Universitas Bina Sarana Informatika ]]>
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DOI: 10.31294/coscience.v3i2.1907
<![CDATA[The existence of security threats and internet abuse is often a problem for companies. Use of a VPN for access to web pages that contain negative and pornographic content which usually contain malware, viruses, trojans and others. This of course will have a detrimental effect on companies whose internet networks are exposed to attacks by malware, viruses or trojans due to employees' habit of accessing web pages that contain negative and pornographic content. To prevent these threats, a method of regulating access and use of the internet network is needed according to its purpose. Content filtering is used to filter sites or web addresses that are not allowed by the company because they are considered to have no direct connection with their field of work. The firewall filtering content method in the Winbox application is one of the methods to achieve the goal of blocking negative and pornographic content that can be accessed by employees during working hours. This research was implemented at PT. Indonesian Mighty Beasts. The results of this study, after the content filtering firewall is implemented, employees cannot access web pages that contain negative and pornographic content and of course are not work related so that the implications for work are more productive, efficient and optimal.]]>
<![CDATA[Analisis Sentimen Terhadap Aplikasi Canva Menggunakan Algoritma Naive Bayes Dan K-Nearest Neighbors ]]>
<![CDATA[Dany Pratmanto]]>;
<![CDATA[Fabriyan Fandi Dwi Imaniawan]]>
<![CDATA[ Computer Science (CO-SCIENCE) Vol. 3 No. 2 (2023): Juli 2023 ]]>
Publisher : <![CDATA[LPPM Universitas Bina Sarana Informatika ]]>
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DOI: 10.31294/coscience.v3i2.1917
<![CDATA[The sentiment analysis used in the Canva application involves collecting user reviews or feedback. Then, a sentiment analysis algorithm is applied to classify the reviews as positive or negative. Sentiment analysis can help the company understand user opinions about the Canva application and how the application can meet user needs. The process of sentiment analysis in the Canva application involves collecting user reviews or feedback, which are then classified using a sentiment analysis algorithm. The research results show that the KNN algorithm has an accuracy rate of 83.92%, while Naive Bayes only has an accuracy rate of 77.41%. The KNN algorithm also has higher recall and precision values than Naive Bayes, namely 83.66% and 84.49%, respectively. In addition, the AUC value generated by the KNN algorithm is also higher than Naive Bayes, namely 95.00% compared to 94.50%. Therefore, it can be concluded that the KNN algorithm is more suitable for data classification in this research. This research can contribute to the development of the Canva application and improve the quality of service for its users.]]>
<![CDATA[Rancang Bangun Sistem Informasi Akademik Berbasis Website Dengan Metode SDLC ]]>
<![CDATA[Wati Erawati]]>;
<![CDATA[Sujiliani Heristian]]>;
<![CDATA[Rachmat Adi Purnama]]>
<![CDATA[ Computer Science (CO-SCIENCE) Vol. 3 No. 2 (2023): Juli 2023 ]]>
Publisher : <![CDATA[LPPM Universitas Bina Sarana Informatika ]]>
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DOI: 10.31294/coscience.v3i2.1918
<![CDATA[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.]]>
<![CDATA[Prediksi Keberhasilan Pemasaran Layanan Jasa Perbankan Mengunnakan Algoritma Logistic Regreesion ]]>
<![CDATA[Sari Dewi]]>;
<![CDATA[Hanggaro Aji Al Kautsar]]>;
<![CDATA[Dwi Yuni Utami]]>
<![CDATA[ Computer Science (CO-SCIENCE) Vol. 3 No. 2 (2023): Juli 2023 ]]>
Publisher : <![CDATA[LPPM Universitas Bina Sarana Informatika ]]>
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DOI: 10.31294/coscience.v3i2.1931
<![CDATA[Determining public interest in marketing banking services using data mining techniques. Prospect segmentation is one of the processes used in the marketing strategy of the banking industry. Data mining support plays an important role in classifying potential bank customers and evaluating the success of marketing their services. This is important to support the conclusion about the success rate of telemarketers in carrying out bank marketing tasks. a product whose way of working requires information about potential customers. This is a classification technique that is often used to classify prospects using logistic regression according to research maps supporting prospect data mining. Defining an accurate data mining classification algorithm to predict telemarketing success based on a 2010 experiment. In marketing banking service products, the results of the evaluation process of this algorithm are determined by cross-validation, Confusion Matrix, ROC curve and T-test. The logistic regression algorithm is more accurate with an accuracy of 92.32% and an AUC value of 0.962, so the algorithm used is included in the good classification group.]]>
<![CDATA[Aplikasi Akuntansi Penerimaan Dan Pengeluaran Kas Pada PT Kinarya Gemilang Adhitama Menggunakan Model Waterfall ]]>
<![CDATA[Tika Susilawati]]>;
<![CDATA[Syarif Hidayatulloh]]>
<![CDATA[ Computer Science (CO-SCIENCE) Vol. 3 No. 2 (2023): Juli 2023 ]]>
Publisher : <![CDATA[LPPM Universitas Bina Sarana Informatika ]]>
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DOI: 10.31294/coscience.v3i2.1939
<![CDATA[PT Kinarya Gemilang Adhitama manages cash receipts and disbursements using Microsoft Excel by recapitulating or calculating one by one transactions in the form of notes into financial reports. The cash management process tends to take a long time, and allows for a considerable risk of data redundancy and the quality of data and information to become inaccurate. Utilizing technology by building a cash receipts and disbursement application with the aim of developing and improving existing systems. By building a financial management application, it is hoped that it can help with the process of managing cash receipts and disbursements at PT Kinarya Gemilang Adhitama to become more efficient and effective. The software development method used in building the application is the SDLC method with the Waterfall model. The application is built with an automatic and unique cash number system so that it can reduce the risk of data redundancy. Furthermore, the application will be tested with Black Box which focuses on software in terms of logic and functionality which is carried out on the 4 main features of the application. The test results show valid results, which means that the application function is in accordance with the design.]]>
