Article Per Year (5 Year)
p-Index From 2019 - 2024
1.642
P-Index
This Author published in this journals
All Journal Nuansa Informatika Cloud Information JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Audience Media Jurnal Informatika Aptekmas : Jurnal Pengabdian Kepada Masyarakat Journal of Innovation and Sustainable Empowerment
Heru Budianto
Universitas Kuningan
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Cloud Information

 1 
RANCANG BANGUN APLIKASI WISATA KABUPATEN KUNINGAN BERBASIS ANDROID MENGGUNAKAN METODE LOCATION BASED SERVICE (LBS) Erik Kurniadi; Heru Budianto
Cloud Information Vol 3, No 2 (2018)
Publisher : Sistem Informasi Fakultas Ilmu Komputer Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kuningan is one of the regencies in West Java which has various tourism objects. Beside nature tourism, there are also many other tourism objects such as modern water tourism that provide water boom, historical tours, religious tourism and culinary tourism. Now days the information of these tourism destination is usually through mouth to mouth, mass media, browsing¸ and social media. It makes that not all tourism objects can be visited, due to lack of information and location of scattered attractions that are difficult to reach by public transportation. This study offers an android application that can provide convenience to tourists who want to visit the tourism objects. This application provides information about the existing attractions from the start location information, facilities, opening hours and closing and guides to reach the location by using the Location Based Service method. Any travelers can download the app and run it on a smartphone. Users of the app can choose the tourism objects by category and the system will provide guide facilities to the tourist sites you want to visit. This application is expected to be a solution to the above problems and it becomes a tourism promotion media in Kuningan Regency.Keyword : Travel apss, LBS, Kuningan, Android
RANCANG BANGUN APLIKASI INFORMASI SARANA KESEHATAN Di KABUPATEN KUNINGAN MENGGUNAKAN METODE LOCATION BASED SERVICE (LBS) BERBASIS ANDROID Heru Budianto; Erik Kurniadi
Cloud Information Vol 4, No 2 (2019): Cloud Information
Publisher : Sistem Informasi Fakultas Ilmu Komputer Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Health facilities are one of the most visited places. However, in several cities, such as Kuningan regency, people still have difficulty accessing information about existing health facilities. The information needed must be complete in the form of location, type of facilities, facilities and services available. This study aims to make an application of health facilities in the Kuningan district. The design of the application uses the Rational Unified Process (RUP) system development methodology which consists of 2 dimensions, horizontal and vertical. The steps taken are inception, elaboration, construction and transition. In the inception phase, both functional and non-functional needs are identified. The elaboration phase is carried out in the design which includes designing the application architecture, use case diagrams, scenario diagrams, activities and others using the Rational Rose tool. The construction phase is carried out implementing the design into a prototype application using Android Studio tools and the Java programming language. In this phase, the process of implementing Location Based Service (LBS) technology and testing is done per unit. The transition phase is carried out the installation and testing process in the user's real condition. The results of this study are applications that are able to display information about existing health facilities. This research needs to be further developed in terms of appearance, and the use of other platforms for the use of maps.
PENERAPAN DATA MINING MENGGUNAKAN ALGORITMA FP-GROWTH UNTUK PENENTUAN STRATEGI PROMOSI FAKULTAS ILMU KOMPUTER UNIVERSITAS KUNINGAN Heru Budianto; Jejen Riana
Cloud Information Vol 5, No 1 (2020): Cloud Information
Publisher : Sistem Informasi Fakultas Ilmu Komputer Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Nowadays, competition between campuses is increasing in order to attract as many new students as possible. This has an impact on management at the faculty level. Limited funding and efficiency demands cause managers at the faculty level to try to find the right strategy to achieve the student targets that have been determined. The right strategy is able to minimize the use of funds and achieve the targets set. This study aims to analyze data mining techniques with the help of the FP-Growth algorithm. FP-Growth algorithm which is a development of the Apriori algorithm. FP-Growth is one alternative algorithm that can be used to determine the set of data that most often appears (frequent item sets) in a data set. The study was conducted by observing several research variables that are often considered by faculties in determining the promotion objectives, namely the Latest Education, Departments, Study Program Choices. The results of this study are in the form of a strategy determination recommendation using the FP-Growth algorithm that uses the concept of FP-Tree development in searching for Frequent Itemset
Co-Authors Adam Nurfauzan Subiyanto Ade Kurniawan Aji Permana Akhmad Izzudin Amin Anang Supriatna Daswa . Dede Irawan dede Irawan Erik Kurniadi Erlan Darmawan Fahmi Yusuf Fitra Nugraha Jejen Riana Laksono Trisnantoro Lutfi Slamet Riyadi Mita Hanifah Salma Rachmat Ismaya RIO ANDRIYAT KRISDIAWAN Tata Sutabri Tito Sugiharto Waode Nadiah Nasrawati