Journal of Informatics and Information Security
Jurnal ini berisi tentang karya ilmiah hasil penelitian bidang ilmu komputer yang bertemakan: Artificial Intelligence, Blockchain Technology, Business Intelligence, Cloud Computing, Computer Architecture, Computer Vision, Database Systems, Deep Learning, Human Computer Interaction, Digital Forensic, Internet of Things, IT Security, Machine Learning, Networking, Semantic Web, Sistem Terdistribusi, Systems Engineering, Wireless Network.
Articles
111 Documents
<![CDATA[Framework for the Application of System Thinking untuk Monitoring Inventory Barang pada Toko Koperasi Bina Mulia Cibitung ]]>
<![CDATA[Muhammad khaerudin]]>;
<![CDATA[Andy Achmad Hendharsetiawan]]>;
<![CDATA[Suryani, Rani]]>
<![CDATA[ Journal of Informatic and Information Security Vol. 3 No. 2 (2022): Desember 2022 ]]>
Publisher : <![CDATA[Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya ]]>
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DOI: 10.31599/2phfjp94
<![CDATA[The Bina Mulia cooperative store sells school books and stationery. Information about the inventory of goods in the store is recorded, requests for goods, processes goods out and reports are made without a computerized system, resulting in errors in searching for the required data. The best solution to solve existing problems is to create a web-based inventory system. Constructed information system with FAST method and system design with UML. With the existence of an information system that is made it can make it easier to get information related to transactions. On the main web page there is graphic info that shows the stock of goods making iteasier to monitor available goods. Printing reports on goods received and issued at the store can be done easily by accessing a menu that is easy to find on the system display.]]>
<![CDATA[Implementasi Algoritma Naïve Bayes untuk Klasifikasi Pemahaman Program MBKM bagi Mahasiswa ]]>
<![CDATA[Ajif Yunizar Pratama Yusuf]]>;
<![CDATA[Rafika Sari]]>
<![CDATA[ Journal of Informatic and Information Security Vol. 3 No. 2 (2022): Desember 2022 ]]>
Publisher : <![CDATA[Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya ]]>
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DOI: 10.31599/40dppk38
<![CDATA[Outcome based education is the basis for the Informatics Study Program at Bhayangkara Jakarta Raya University (Ubhara Jaya) in formulating graduate profiles. Research to identify student knowledge related to MBKM. The analytical approach ranks 25 questions in the MBKM program which are the focus of students and lecturers. Through the survey conducted, it will provide an overview of whether the MBKM program has an attraction for students to develop their competencies, skills and soft skills as a provision for future graduates. In addition, do students and lecturers assess the MBKM program as having significant benefits in improvingstudent abilities? The research was conducted by implementing data mining survey results of students and lecturers in depth. The method used is a classification learning ensemble. The classification process begins with collecting available data, preprocessing data in the form of feature selection, cleaning, integration, and transformation; continued with the process of making models on training data by applying 10-fold cross validation and the assembly learning method to handle imbalance classes; and finally evaluation of modeling results on data testing. The output target of this research is a policy recommendation for implementing the MBKMprogram for the Ubhara Jaya Informatics study program.]]>
<![CDATA[Sistem Penjadwalan Lapangan Bola Voli Menggunakan Algoritma Genetika ]]>
<![CDATA[Ilham Setia Bhakti]]>;
<![CDATA[Achmad Noeman]]>;
<![CDATA[Asep Ramdhani Mahbub]]>
<![CDATA[ Journal of Informatic and Information Security Vol. 3 No. 2 (2022): Desember 2022 ]]>
Publisher : <![CDATA[Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya ]]>
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DOI: 10.31599/vdz3hq95
<![CDATA[Scheduling activities are one of the important things to regulate the use of the field, especially at the BTP Sport Center. This study discusses the design of a scheduling application using genetic algorithm rules as a determinant of making a web-based schedule at the BTP Sports Center. Tenants are divided into two categories, namely regular tenants and face-to-face tenants. Permanent tenants are tenants who rent regularly or repeatedly. Field scheduling is important in setting the time and place for exercise. Some of the problems that occur in scheduling are the large number of tenants and the limited number of administrators who set the schedule, especially at the BTP Sports Center. Field schedules have to be paired one by one manually so that sometimes there are schedules that clash with each other without the management realizing it. The genetic algorithm itself is an algorithm inspired by the scientific selection process initiated by the famous scientist Charles Darwin. While the method used for software development is the RAD(Rapid Application Development) method. The administrator will enter the application with the account that has been provided and then enter the names of the tenants and the rental time, after that the schedule can be created automatically to be printed and displayed in the GOR lobby. The result of the research is that by applying genetic algorithms to scheduling, schedules can be mademore efficiently so as to speed up the scheduling process at the BTP Sports Center.]]>
<![CDATA[Prediksi Penjualan Menggunakan Algoritma Regresi Linear pada Koperasi Karyawan Usaha Bersama ]]>
<![CDATA[Muhamad Galih]]>;
<![CDATA[Prima Dina Atika]]>;
<![CDATA[Mukhlis]]>
<![CDATA[ Journal of Informatic and Information Security Vol. 3 No. 2 (2022): Desember 2022 ]]>
Publisher : <![CDATA[Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya ]]>
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DOI: 10.31599/bg5qg413
<![CDATA[Koperasi Karyawan Usaha Bersama is one of the cooperative that has minimarket as one of their business strategy that sales a lot of goods people need. The amount of item sold every day is sometimes uncertain. There is a day when a lot of things are sold on that day, and there is also a day when there are only a few stuff are sold. The purpose of this study is to do prediction the sales of goods sold every day. With this prediction result, the minimarket can determine and choose what strategies are the best to maximize their profit. We use Linear Regression to do this study with CRISP-DM as the model process. The result of the analysis that uses data from March to April 2022 shows that MAPE has the better result with 10.7% compared to RMSE with 42.091.]]>
<![CDATA[Sistem Informasi Administrasi Pengarsipan Surat ]]>
<![CDATA[Naufal Malik Hadi Saputra]]>;
<![CDATA[Srisulistiowati, Dwi Budi]]>;
<![CDATA[Hadi Kusmara]]>
<![CDATA[ Journal of Informatic and Information Security Vol. 3 No. 2 (2022): Desember 2022 ]]>
Publisher : <![CDATA[Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya ]]>
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DOI: 10.31599/7fj43391
<![CDATA[SMPN 290 SMP level schools in Marunda DKI Jakarta. Based on interviews conducted with informants, there is currently no data archiving system for incoming and outgoing letters. This can lead to several aspects of error both on the part of the school and the administration, such as being effective in recording incoming and outgoing letters. To facilitate data collection ofincoming and outgoing mail, an administrative information system application was designed. With this application, this administrative information system can make it easier for the archive staff at the school and can minimize the loss and damage of letter archiving data.]]>
<![CDATA[Aplikasi Pendataan Berita Acara Temuan Selisih Berbasis Web dengan Metode SWOT (PT Bank Negara Indonesia,Tbk) ]]>
<![CDATA[Karno Diantoro]]>;
<![CDATA[Fuadis Muhammad]]>
<![CDATA[ Journal of Informatic and Information Security Vol. 3 No. 2 (2022): Desember 2022 ]]>
Publisher : <![CDATA[Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya ]]>
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DOI: 10.31599/50zkb772
<![CDATA[In this modern era, the use of a multi-format system is still very much needed. Using a desktop-based application, this MIS program is packaged in a form that is easy for users to run. Research on this system to find out what is still a problem when the program is run. Based on this, the researcher analyzed the multiformat information system application system using the SWOT method through four factors, namely Strengths, Weaknesses, Opportunities, Threats. This model is used with the aim that a quality can be measured explicitly. The results of the research are able to solve the problems that exist at PT Bank Negara Indonesia, it becomeseasier to record discrepancies and the stored data is well maintained and can be easily searched.]]>
<![CDATA[Implementasi AHP (Analytical Hierarchy Process) pada Sistem Proteksi Optical Line Termination Berbasis IoT ]]>
<![CDATA[Ahmad Iqbal Fariky]]>;
<![CDATA[Elvianto Dwi Hartono]]>
<![CDATA[ Journal of Informatic and Information Security Vol. 3 No. 2 (2022): Desember 2022 ]]>
Publisher : <![CDATA[Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya ]]>
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DOI: 10.31599/hbswdr55
<![CDATA[The development of increasingly advanced technology follows the needs of the community, one of which is in the telecommunications world, namely FTTH (Fiber to the Home), a form of optical signal transmission from the service provider to the customer's home and optical fiber as a delivery medium. Deploying with FTTH technology can save costs and reduce operating costs and provide better services to customers. The OLT is connected to Fiber to the Home (FTTH). OLT or short for Optical Line Terminal, is an endpoint equipment in a passive optical network (PON). One of the problems faced is the unavailability of a monitoring system to determine the condition of the Optical Line Terminal device remotely. This tool monitoring system can monitor outdoor units based on unit humidity, control unit temperature based on air temperature conditions, detect fire with infrared sensors and ensure unit security with RFID. In this device, the device temperature monitor uses a maximum temperature input of 40 degrees Celsius and aheating fan power to increase the temperature. The DHT11 sensor detects device humidity based on humidity levels. For temperature control, the input temperature is not more or less than 20 - 40 °C. The output is in the form of turning on and off the heater or fan. For control conditions the humidity limit is not more than 30%. The remote monitoring system can display data on temperature, humidity, fire detection and security locks with RFID.]]>
<![CDATA[Metode Prototype dalam Pengembangan Website Jasa Pengiriman Barang ]]>
<![CDATA[Rana Fauziyyah]]>;
<![CDATA[Indah Ariyati]]>
<![CDATA[ Journal of Informatic and Information Security Vol. 3 No. 2 (2022): Desember 2022 ]]>
Publisher : <![CDATA[Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya ]]>
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DOI: 10.31599/ep0gac78
<![CDATA[The use of the website has led to all fields, every company uses the website as a media liaison between the community and the company. Website is online information that can be accessed anytime and anywhere by connecting to the internet network. PT data management The main mainstay of automotive transportation is still manual, errors often occur when data is exchanged or even lost, resulting in errors in sending and delays in reports. Using the prototype method, the researchers developed a goods delivery service website supported by XAMPP 3.2.2 software, Sublime Text, PHP programming language and MySQL database. PT. Andalan Utama Transportasi Otomotif improves goods delivery services, making it easier for customers to access goods delivery information and delivery status updates.]]>
<![CDATA[Sistem Prediksi Aturan Stock Obat Dengan Metode Iterative Dichotomiser (ID3) ]]>
<![CDATA[Aida Fitriyani]]>;
<![CDATA[Hiswara, Abrar]]>;
<![CDATA[Fadila Fitria Rahmah]]>
<![CDATA[ Journal of Informatic and Information Security Vol. 2 No. 2 (2021): Desember 2021 ]]>
Publisher : <![CDATA[Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya ]]>
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DOI: 10.31599/10e02g38
<![CDATA[Pharmacy has a lot of transaction data on the distribution of pharmaceutical supplies, especially drug management. There are several obstacles that occur in the drug supply management system at this pharmacy, one of which is the accumulation of drug stock, where pharmacists find it difficult to determine what drugs should be in stock or not in stock. In order to avoid the accumulation of drugs that exceed the user limit (expired) which will result in losses for pharmacies. For this reason, the authors want to deal with these problems through the Design of a web-based Drug Inventory Prediction Information System using the Itertive Dichotomiser Algorithm method which will predict the stock of drugs that are expected to manage drugs at pharmacies to be wiser in choosing products to sell. In designing information systems Supporting software is also used, namely PHP and MYSQL databases. The final result of this research is, with this information system, it can help pharmacists in supporting drug management so that they can be more selective in choosing the items to be purchased for sale so as to minimize losses that will occur in pharmacies.]]>
<![CDATA[Komparasi Algoritma K-Mean dan Hierarchical untuk Pengelompokan Pengaruh Covid-19 Terhadap Pendidikan ]]>
<![CDATA[Mayadi]]>;
<![CDATA[Setiawati, Siti]]>
<![CDATA[ Journal of Informatic and Information Security Vol. 2 No. 2 (2021): Desember 2021 ]]>
Publisher : <![CDATA[Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya ]]>
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DOI: 10.31599/gtkw7r31
<![CDATA[The purpose of this study is to classify the impact of covid-19 on the world of education. Covid-19 is a virus that has had a major impact on politics, economy, culture, sports, education and other fields. The impact in the field of education is the closure of schools, universities, and institutions so that learning activities are carried out online from home. The method in this study begins by taking a dataset sourced from the public dataset https://www.kaggle.com/ to obtain data on the impact of COVID-19 on education. The next stage is preprocessing the data to filter the attributes that have the most influence on education using excel and python programming, the dataset has been continued to create patterns using machine learning algorithms, namely hierarchical clustering and k-mean clustering the clustering algorithm used. Clustering is the process of grouping similar objects into different groups or dividing a data set into subsets based on distance measurements. The expected result of this research is the comparison of the k-mean and hierarchical clustering algorithms which will have the highest accuracy in classifying the impact of covid-19 on education.]]>
