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Rancang Bangun Sistem Informasi Pengorderan Air Minum RO dengan Metode Waterfall Integrasi UML di PT Gajah Tunggal Tbk Yulianti, Henny
Jurnal Informatika Universitas Pamulang Vol 6, No 3 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v6i3.11780

Abstract

The increasingly high level of competition in the tire industry encourages companies to manage their human resources well. Human resources are the company's main asset which is an important element in achieving company goals and maintaining company sustainability. Every employee is an important factor that drives a high-performing compan, therefore the company strives to provide facilities for all its employees. The facilities provided by PT. Gajah Tunggal Tbk is healthy drinking water for all its employees. The problem is the process of ordering healthy drinking water is still manual, each division goes to the RO section to order drinking water and reports often do not match the needs in the field. This makes the division lose a lot of time and effort. Because of this, with the development of information technology, the solution is to build a web-based RO drinking water ordering application system. The website design method uses the Waterfall method which is integrated with the UML software development method. With Black box testing, it is proven that the design of this RO drinking water ordering application can help the activities of employees in the company in meeting the needs of drinking water and accurate reports so that it becomes effective and efficient. in the working time of employees and this can improve the performance of employees of PT. Gajah Tunggal Tbk
The Design of a Monitoring Application System for The Production of Foam Products Using the UML And Waterfall Methods Henny Yulianti; Gatot Tri Pranoto
JISA(Jurnal Informatika dan Sains) Vol 4, No 2 (2021): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v4i2.1045

Abstract

The development of information technology, which is followed by a higher level of competition in the foam product industry, encouraging companies to manage their company's resources properly and to plan effective, systematic and mature activities within the company. As a company with a variety of products, the most dominant problem is in the productivity process. Production is the most important part of a manufacturing company, where in carrying out its production activities this company produces based on orders from customers (Job Orders). And the problems that often occur are planning revisions in the midst of production and changing production schedules between groups (lines), delays in production planning in terms of prioritizing planning, and still being done manually in making daily reports. By implementing monitoring, which is the supervision and control of an activity where measurements and evaluations are completed repeatedly from time to time, monitoring is carried out for the purposes of the company and to maintain ongoing management. Monitoring will provide information about the status and trend of production activities towards the company's goals. The solution to this production problem is to build a web-based foam product production monitoring system application using the Waterfall method which is integrated with UML the method used is use case diagrams, activity diagrams, sequence diagrams, class diagrams and component diagrams and software development with PHP and MySQL technology. With Black box testing, it is proven that the design of this foam production monitoring system application can assist the company's foam product production activities in fulfilling customer orders and accurate reports so that it becomes effective and efficient. in improving the productivity and performance of the company.
COMPARISON OF NAIVE BAYES ALGORITHM AND DECITION TREE FOR EMPLOYEE CLASSIFICATION PREDICTIONS TENDING TO CHANGE WORK Henny Yulianti
Jurnal Informatika Universitas Pamulang Vol 7, No 3 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i3.20777

Abstract

In recent years due to the uncertain economic conditions and situation of a country, many employees with a certain level of education, work experience, countries with different levels of development and income per capita of the country and several other factors, causing many employees tend to change places of work. Due to the various factors that cause employees to change jobs and advances in information technology, it is also difficult to predict what factors influence employee decision making to move to a new place. Therefore, it is necessary to know what factors and conditions are in employees so that they have a tendency to change jobs, this is necessary so that companies can prevent, anticipate and immediately find other solutions as early as possible if this condition should occur to their employees. Based on the problems and objectives that have been described, this study predicts the classification of employees who have a tendency to change workplaces by integrating the Naive Bayes algorithm and Decision Tree. The aim is to identify the dominant factors that influence employees to change places of work. From the results of the research conducted, it was found that there are three (3) dominant factors that influence employees to change jobs, namely employees with STEM (Science Technology Engineering Mathematical) expertise, company size and education level as well as the highest level of accuracy from the Naive Bayes Algorithm 80.79 and the highest AUC from the Decision Tree Algorithm. 0.822.
Sistem Informasi Administrasi Keuangan Berbasis Web Di Madrasah Tsanawiah Nurul Yaqin Henny Yulianti
Lensa Vol 15 No 1 (2021)
Publisher : LPPM Universitas Pramita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58872/lensa.v15i1.1

Abstract

Teknologi informasi juga mampu melakukan efisiensi di berbagai bidang, terutama bidang pendidikan. Sekolah adalah suatu aktifitas besar yang di dalamnya ada empat komponen yang saling berkaitan yaitu staf tata usaha, staf teknisi pendidikan, komite, dan peserta didik. Selama ini sistem informasi administrasi keuangan di MTs Nurul Yaqin masih menggunakan format penulisan manual. Sehingga timbul permasalahan dalam hal keefektifan dan efisiensi pengolahan data menjadi informasi dalam proses manajemen sekolah. Untuk itu dibutuhkan suatu sistem yang lebih baik dan mampu mengatasi permasalahan karena hal tersebut maka solusinya dibangun aplikasi sistem Informasi ini yang dirancang dengan metode UML dan penelitian dengan metode Waterfall.Terbukti aplikasi ini mampu memudahkan petugas administrator yang ada sehingga pengolahan administrasi keuangan lebih maksimal.
Comparison of Naive Bayes Algorithm and Decition Tree for Employee Classification Predictions Tending to Change Work Henny Yulianti
Jurnal Informatika Universitas Pamulang Vol 7, No 3 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i3.20777

Abstract

In recent years due to the uncertain economic conditions and situation of a country, many employees with a certain level of education, work experience, countries with different levels of development and income per capita of the country and several other factors, causing many employees tend to change places of work. Due to the various factors that cause employees to change jobs and advances in information technology, it is also difficult to predict what factors influence employee decision making to move to a new place. Therefore, it is necessary to know what factors and conditions are in employees so that they have a tendency to change jobs, this is necessary so that companies can prevent, anticipate and immediately find other solutions as early as possible if this condition should occur to their employees. Based on the problems and objectives that have been described, this study predicts the classification of employees who have a tendency to change workplaces by integrating the Naive Bayes algorithm and Decision Tree. The aim is to identify the dominant factors that influence employees to change places of work. From the results of the research conducted, it was found that there are three (3) dominant factors that influence employees to change jobs, namely employees with STEM (Science Technology Engineering Mathematical) expertise, company size and education level as well as the highest level of accuracy from the Naive Bayes Algorithm 80.79 and the highest AUC from the Decision Tree Algorithm. 0.822.