Perancangan Sistem Manajemen Absensi Online dengan Barcode scanner Menggunakan Power Apps

Attendance is a form of attachment or obligation between employees and companies, especially at PT. IDX with work locations for project employees who are spread across many companies and different office locations, namely in Jakarta and Bandung. Based on this study, an online-based employee attendance system using the barcode scanner method is applied, because previously employees were still using manual signatures with insufficient security systems and concerns about data leakage, with this attendance system employees do not need to sign manually, resulting in fraud. attendance can be avoided. The application of QR code technology to the employee attendance system can speed up the employee attendance process. Besides that, it can also help make it easier for the HRD Team in managing employee attendance reports to make it more effective and efficient.Keywords:Attendance Application, Attendance System, Power Apps, One Drive Application.

Sistem Informasi Administrasi Kemahasiswaan dan Alumni (Smart Adma) dengan Metode Extreme Programming (XP)

The purpose of this research is to develop a website-based system to facilitate the academic administration of student affairs at the Faculty of Information Communication Technology, Universitas Nasional in providing various student information ranging from information on association activities, scholarships, competitions, achievements achieved by FTKI (SI-TI) students. and helping FTKI students and graduates to find updated information about job vacancies related to information technology. This study will develop an administrative information system for student affairs with the Extreme Programming method, an Agile Development Method. will include FTKI students and graduates as users. The results of research from the Student and Alumni Administration Information System (Smart Adma) can provide time efficiency in administrative management, make it easier for students to get information from association activities, proposals, requests for funds to submission forms and internship assessments, as well as alternative media during the Covid 19 Pandemic.Keywords:Information Systems, Smart AdMa, Extreme Programming Method (XP).

Penerapan Face Recognition pada Aplikasi Akademik Online

In the era of big data, the biometric identification process is growing very fast and is increasingly being implemented in many applications. Face recognition technology utilizes artificial intelligence (AI) to recognize faces that are already stored in the database. In this research, it is proposed to design an online academic login system at the National University using real time face recognition used OpenCV with the Local Binary Pattern Histogram algorithm and the Haar Cassade Classification method. The system will detect, recognize and compare faces with the stored face database. The image used is 480 x 680 pixels with a .jpg extension in the form of an RGB image which will be converted into a Grayscale image., to make it easier to calculate the histogram value of each face that will be recognized. With a modeling system like this it is hope to make it easy for user to log into online academics.Keywords:Face Recognition, Haar Cascade Clasifier, Local Binary Pattern Histogram, Online Akademic, OpenCV.

Media Informasi Animasi 4 Dimensi Halte Transportasi Publik untuk Kenyamanan Masyarakat menggunakan Teknik Motion Planner

As we know, there are a lot of public transportation users, especially buses, which are often used in almost all cities around the world. What is our focus this time is bus stops, many of which are abused from their initial function as a place to pick up and drop off passengers, and are very unfit for use. Therefore, a 4D animation information media for public transportation stops was created. This is done to show the public about the convenience of public transportation stops. This utilization also aims to make the bus stop facilities even better and more comfortable according to the needs of prospective passengers. The concept used in this design is "Livability", a word that refers to a good environment for a community to live in. The design results presented in the interior of this waiting facility are to make public transportation users feel safe and comfortable so that people can interact well with each other while waiting for public transportation.Keywords:Animation 4D, Animation 3D, Public Transport.

Sistem Informasi Bimbingan Belajar Berbasis Web dengan Metode Waterfall

The creation of a web-based information system at the North Jakarta Sunter branch of Kumon tutoring is intended to improve service quality and quality in the implementation of teaching and learning activities. Based on this, this study will develop a web-based information system that includes an interface design, namely the main page, login, subjects, schedule of subjects, and grades. Making this system an effort to optimize service performance to students.Keywords:Web Design Application, Design and Implementation Application Information Systems

Visualisasi dan Analisa Data Penyebaran Covid-19 dengan Metode Klasifikasi Naïve Bayes

The covid-19 virus became a pandemic in 2020. The spread of covid cases has hit the whole world, reaching 63 million cases in 190 countries as of November 2020. Information regarding the spread of covid is necessary for the general public. This research will produce a system that can provide information on the geographic distribution of covid cases. The data on the distribution of covid cases in this study were also used to analyze the classification using the Naive Bayes Classifier method. The Naive Bayes Classifier method works by using probability calculations so that this research can be used to classify the covid status in an area. The results of this study have succeeded in providing information on the status of the covid pandemic based on data on covid cases that have occurred around the world. Covid case data becomes training data for the analysis of the Naive Bayes classifier method so that it can determine the status of the Covid pandemic based on test data provided by system users. This research has succeeded in helping users to know the status of the Covid pandemic in an area well because it has reliable training data.Keywords:System, Covid, Naïve Bayes Classifier.

Implementasi Metode Forward chaining dan Certainty factor dalam Mendiagnosa Autisme Anak Berbasis Web

Lack of parental or community knowledge of the symptoms of autism in their children results in neglected early detection. This of course can be too late in the treatment of autism in the future. Therefore, this study aims to design a web-based expert system for diagnosing children's autism. The development model used to design an autism expert system in children is a waterfall and implements the forward chaining method and the certainty factor method. While the data collection methods consisted of interview methods and literature study methods. From the results of the calculation test, it is concluded that the results of manual calculations and the web-based application of an expert system for autism diagnosis in children are the same as the results of the 98% confidence level. With this web-based autism expert system in children, it is hoped that it can help parents or the community to detect autism in their children early on.Keywords:Autism, Expert System, Web Based, Forward chaining Method, Certainty factor Method.

Rancang Bangun Inventarisasi Barang menggunakan Algoritma Apriori Sebagai Data Mining

Inventory activities become an important thing for business progress, along with the times, inventory activities become easier due to the large number of facilities and infrastructure to support activities, including the Ap Jaya Store which also competes in the modern era, but currently, inventory activities in stores Ap Jaya still uses the manual method, namely by recording inventory activities using a book then recapitulating one by one so that it takes a lot of time, along with these problems an inventory application is needed that can be used to support these activities, this inventory application is made using the a priori algorithm method as data mining and using the programming language PHP and MySQL as a database besides that the a priori algorithm can also be used for item recommendation systems, on testing with 20 transaction data with a minimum support value = 20% and a minimum confidence = 70% also from the results of the transaction. Tests carried out using the apriori algorithm and using applications that are made get the same results according to the requirements for support and confidence values.Keywords:Inventory, Data Mining, Apriori Algorithm

Implementasi Electronic Customer Relationship Management menggunakan Metode Framework of Dynamic berbasis Web

The purpose of this study is to build soft devices for electronic customer relationship management (e-CRM) with the Framework of Dynamic method which will facilitate customer relationship management that can help relationships between stores and customers so that customers can enjoy and feel comfortable with the store services that can eventually be formed. In implementing this software, the author uses the system development lifecycle (SDLC) method then produces a web-based e-CRM prototype with PHP programming languages and MySQL DBMS. This e-CRM prototype has been tested in terms of verification, validation, and prototype testing. To design this system Use Cases, ERD, LRS, Class Diagrams, and Sequence Diagrams are used. From the test results, it can be seen that the e-CRM prototype has been successful and is in accordance with the planning objectives. The result of this Marketplace Design is as a forum to make it easier for shop owners in the field of Building Materials and the like to market the products they have here.Keywords:e-CRM, Framework of Dynamic CRM, Customer, System Development Life Cycle.

Pengaruh Iklan Jd.Id di Youtube Terhadap Minat Untuk Menggunakan Aplikasi

The purpose of this study was to determine the effect of using Youtube Ads on interest in using the Jd.id application where the variables used include intensity, message content, and attractiveness. The method used is quantitative with a multiple linear regression approach. The target population is employees of the H.R Operations Department of Perum Peruri Karawang with a total of 63 people. The results showed that the variable intensity, message content, and attractiveness of Youtube ads simultaneously had a significant effect on the interest in using the Jd.id application with a total influence of 67.1%. After testing the coefficient of partial determination, the effect of the intensity is 14.1%, the message content is 6.6% and the attractiveness is 36.4%.Keywords:Youtube, New Media, Jd.id, Perum Peruri.