PROTOTYPE SISTEM PENDAFTARAN RAWAT JALAN PADA RSUD LARANTUKA NUSA TENGGARA TIMUR BERBASIS MOBILE

Abstract—The role of the hospital is very helpful in efforts to improve the quality of public health, for this reason the need for fast and appropriate services so that human resources are maintained for their survival. At dr. Hospital Hendrikus Fernandez Larantuka East Nusa Tenggara, the registration service still uses the intranet system or local network and system errors often occur so that the patient registration process is hampered. In addition, the system created on the intranet network also has drawbacks, one of which is that it can only be accessed by people who are connected to the building's network. With these problems, there is a need for a mobile-based application that can be accessed directly by the public in real time from anywhere and any time. The purpose of this study is to create a mobile-based application design that is capable of processing inpatient registration services at hospitals with an attractive and user-friendly appearance. The method used in this study is the prototyping method. This method is a software development model by creating a prototype or model to provide an overview to the user by going through 5 stages, namely communications, quick plan, quick design model, prototype construct, and development delivery and feedback. The tool used in making this prototype is the Figma application. The results of this study are that there is an application prototype that can be used as reference material for RSUD dr. Hendrikus Fernandez Larantuka, East Nusa Tenggara, in developing his system so that the inpatient registration process can be carried out by the community anytime and anywhere. Likewise, information from the hospital can be received in real time by the public through the mobile-based hospital inpatient application

IMPLEMENTATION OF THE WEIGHT PRODUCT METHOD IN THE SYSTEM NEW STUDENT ADMISSION

The development of information technology is something that cannot be separated from life today. The development of information technology, especially the internet, is certainly welcomed by all circles, and has even penetrated the world of education since the last few years, thus creating competitive competition in every educational institution. Currently, there are not many schools in Indonesia that hold new student admissions (PPDB) by utilizing the online system. Of course, this will take a very long time, because after selecting the prospective students, the committee must recap the names and grades of the students accepted. We need a system that will support decisions in the selection of new student admissions so that the resulting output is more accurate. To solve this problem, it is necessary to have a decision support system for the selection process for new admissions using the Weight method Products . With this method the PPDB selection calculation will be more objective because the calculation is based on predetermined weights and assessment criteria. So that the creation of an optimal system that will facilitate the PPDB selection process

CLASSIFICATION OF LIVER DISEASE BY APPLYING RANDOM FOREST ALGORITHM AND BACKWARD ELIMINATION

Cancer is a type of disease that is not realized by most people because most people associated with this disease lack understanding of cancer itself and are doing early detection of cancer, due to the majority of cancers found at an advanced stage and difficult to overcome to facilitate large expenditure to help cancer. Early detection of liver or liver cancer is very important to overcome the very high risk of death caused by liver or liver cancer. This study aims to help classify liver or liver cancer based on data from routine examination results of patients summarized in the Indian Liver Data Patient (ILDP) dataset. The method used in the classification process in this research is backward elimination modeling for testing optimization and Random Forest algorithm and split validation to validate the model. The results of this study yielded 76.00% and value of AUC 0.758 results. These results indicate that the results of this study are good enough to help classify breast cance

Rancang Bangun Aplikasi Penggajian Menggunakan Framework CI : Studi Kasus : PD. Perkasa 3

Kegiatan yang ada pada perusahaan dagang pada umumnya yaitu pembelian dan penjualan. Selain kedua kegiatan tersebut yang terkadang hampir dilupakan namun merupakan hal vital diantara adalah kegiatan penggajian karyawan. Masalah pemberian gaji merupakan hal yang penting karena mempunyai pengaruh yang sangat besar terhadap semangat kerja para karyawannya. PD. Perkasa 3 memiliki ratusan karyawan yang berbeda sistem perhitungan penggajiannya. Kerumitan pencatatan dan perhitungan penggajian dapat diatasi dengan rancang bangun  sebuah aplikasi penggajian berbasis website yang dibangun menggunakan  framework code igniter dengan bahasa pemrograman PHP dan database MySQL mampu memecahkan masalah mengenai rumitnya pencatatan dan perhitungan penggajian pada PD. Perkasa 3. Saat ini, PD. Perkasa 3 dapat melakukan penggajian dengan cepat dan tepat, pelaporan dan pengarsipan lebih rapi, aman, tidak mudah terbakar, basah dan hilang karena data tersimpan pada database rancang bangun ini dilakukan dengan berdasarkan metode SDLC (Systems Development Lifecycle) yang umum digunakan, yaitu Waterfall

IMPLEMENTATION OF PARTICLE SWARM OPTIMIZATION BASED MACHINE LEARNING ALGORITHM FOR STUDENT PERFORMANCE PREDICTION

Education plays an important role in the development of a country, especially educational institutions as places where the educational process has an important goal to create quality education in improving student performance. Based on research conducted in the last few decades the quality of education in Portugal has improved, but statistics show that the failure rate of students in Portugal is high, especially in the fields of Mathematics and Portuguese. On the other hand, machine learning which is part of Artificial Intelligence is considered to be helpful in the field of education, one of which is in predicting student performance. However, measuring student performance becomes a challenge since student performance has several factors, one of which is the relationship of variables and factors for predicting the performance of participating in an orderly manner. This study aims to find out how the application of machine learning algorithms based on particle sworm optimization to predict student performance. By using experimental research methods and the results of empirical studies shown in each model, namely random forest, decision tree, support vector machine and particle swarm optimization based neural network can improve the accuracy of student performance predictions

ANALISIS KUALITAS PORTAL MEDIA ONLINE INILAHTASIK.COM TERHADAP KEPUASAN PENGGUNA MENGGUNAKAN METODE WEBQUAL 4.0

Abstract - Inilahtasik.com is a website of the City and Regency of Tasikmalaya that provides information including news on Tasik, Info on Tasik, Pesantren, Tourism, UMKM, Cross Village, Manasuka and Khazananah. Website currently arises because of the community's need for information to support their needs, but many people who do not know about the information distributed is true or not. In this study, testing the quality of the website initasik.com whether the information disseminated is well received or not, so the quality of the website based on user perceptions is important to know and use as feedback. In this study, the authors used the Webqual 4.0 method supported by usability, information quality, interaction quality, and user satisfaction then data from respondents were processed using the SPSS application version 16.0. The results of the study the influence of independent variables on the dependent variable is 64.5%, the hypothesis of the variable usability quality, information quality and interaction quality on overall user satisfaction is accepted, and variable usability quality, information quality and interaction quality on user satisfaction simultaneously influence on user satisfaction. Keywords - User Satisfaction, Webqual 4.0, Website Analys Abstrak - Inilahtasik.com merupakan sebuah website Kota dan Kabupaten Tasikmalaya yang menyediakan informasi diantaranya berita Tasik, Info Tasik, Pesantren, Wisata, UMKM, Lintas Desa, Manasuka dan Khazananah. Website saat ini muncul karena kebutuhan masyarakan akan informasi untuk menunjang kebutuhan hidupnya, namun masyarakat banyak yang tidak tahu tentang informasi yang disebarkan itu benar atau tidak. Pada penelitian ini menguji kualitas website inilahtasik.com apakah informasi yang disebar luaskan diterima dengan baik atau tidak, sehingga kualitas website berdasarkan persepsi pengguna merupakan hal yang penting untuk diketahui dan dijadikan umpan balik. Dalam penelitian ini, penulis menggunakan metode Webqual 4.0 di dukung dengan variabel kualitas kegunaan (usability), kualitas informasi (information quality), kualitas interaksi (interaction quality) dan kepuasan pengguna (user satisfaction) kemudian data dari responden diolah menggunakan aplikasi SPSS versi 16.0. Hasil penelitian pengaruh variabel bebas terhadap variabel terikat adalah sebesar 64,5 %, Hipotesis dari variabel kualitas kegunaan, kualitas informasi dan kualitas interaksi terhadap kepuasan pengguna secara keseluruhan diterima, dan variabel kualitas kegunaan, kualitas informasi dan kualitas interaksi terhadap kepuasan pengguna secara simultan berpengaruh terhadap kepuasan pengguna. Kata Kunci: Kepuasaan Pengguna, Webqual 4.0, Analisis Websit