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All Journal JURNAL DERIVAT: JURNAL MATEMATIKA DAN PENDIDIKAN MATEMATIKA Joined Journal (Journal of Informatics Education Media Aplikom INCODING: Journal of Informatics and Computer Science Engineering Jurnal Teknologi Informasi Cyberku Jurnal HUMMANSI (Humaniora, Manajemen, Akuntansi) International Journal of Computer Technology and Science
Diwahana Mutiara Candrasari Hermanto
SEKOLAH TINGGI ILMU KOMPUTER YOS SUDARSO
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Journal : Media Aplikom

 1 
Sistem Pendukung Keputusan Penentuan Prioritas Pembangunan Infrastruktur Desa Karanggintung Untuk Meningkatkan Efisiensi dan Efektive Infrastruktur Desa Diwahana Mutiara Candrasari Hermanto; Suyudi Suyudi
Media Aplikom Vol 10 No 1 (2018)
Publisher : Sekolah Tinggi Ilmu Komputer YOS SUDARSO Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33488/1.ma.2018.1.54

Abstract

Decision Support System is a decision-making method that serves to assist the decision-making process to solve problems that are semi-structured and unstructured In this study will determine the priority in the development of village infrastructure by using methods Technique for Order Preference method by Similarity to Ideal Solution (TOPSIS) is a Multi-Criteria Decision Making (MCDM) category, which is a decisionmakin technique from several alternative options, especially MADM (Multi Attribute Decision Making). The results of this study suggest that with a decision support system prioritizing village infrastructure development karanggintung is expected can provide recommendations on the use of funds prioritized for rural development.
Analisis Algoritma Clustering Dalam Kasus Penentuan Jenis Bunga Iris Diwahana Mutiara Candrasari
Media Aplikom Vol 9 No 2 (2017)
Publisher : Sekolah Tinggi Ilmu Komputer YOS SUDARSO Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33488/1.ma.2017.2.75

Abstract

Clustering is one process of data mining that aims to partition existing data into one or more cluster objects based on the characteristics it has. Data with the same characteristics are grouped in one cluster and data with different characteristics are grouped into another cluster. In this study will perform comparation and analyze the best algorithm for categorize flowers by using iris dataset. Clustering algorithm techniques used include K-means, and K-medoids,. The value of davies bouldin and number of clusters will be investigated using the rapidminer tool. The results show that the K-Means algorithm has the lowest davies bouldin value of 0.167, while K-Medoids yields davies bouldin value of 0.291, but among the three algorithms, the K-Means algorithm is the most dominant and best in the comparative process of grouping iris flowers. Keywords: K-means, K-medoids , clustering
Sistem Informasi Manajemen Hotel Berbasis Web Yosita Lianawati; Diwahana Mutiara Candrasari Hermanto
Media Aplikom Vol 14 No 1 (2022): Media Aplikom
Publisher : Sekolah Tinggi Ilmu Komputer YOS SUDARSO Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33488/1.ma.2022.1.331

Abstract

The development of advances in information technology requires business people to use this technology, but there are still many hotels that use manual systems for data handling and recording. The Hotel Management Information System was made using the interview method, literature study, and observation to the location for data collection. This research will be designed using the PHP programming language and MySQL database. From the results of this study, it has been proven that the Hotel Management Information System can help hotels to improve efficiency and effectiveness in the booking process, data processing and produce information quickly and accurately.
Co-Authors Abdul Syukur Adhi Wibowo Adhi Wibowo Anggi Anggi Anggraini Anggi Anggraini Endang Setyawati Hadion Wijoyo Jevon Nataniel Putra Jevon Nataniel Putra5 Kusuma Indah Lestari Moch Arief Soeleman Ratri Kusuma Hariningsih, Rosa Roberto Martins Rosa Ratri Kusuma Hariningsih Suyudi Suyudi Suyudi Suyudi Syamsu Wahidin Thomas Kristian Jeriko Wahyu Eka Mulatsari Yosita Lianawati