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Journal : Computer Based Information System Journal

RANCANG BANGUN SISTEM INFORMASI PENERIMAAN KAS LAYANAN TINDAKAN MEDIS PUSKESMAS BOTANIA BATAM KOTA Elisa, Erlin; Tukino, Tukino; Amrizal, Amrizal
Computer Based Information System Journal Vol. 10 No. 2 (2022): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v10i2.8177

Abstract

Public health centers play a crucial role as frontline healthcare service providers, dedicated to enhancing the well-being of their communities. Ensuring the delivery of the best possible services is a primary responsibility. However, one significant challenge they face is the manual recording of general medical services, making the process susceptible to transaction recording errors. This study's objective is to develop an analysis and design for a cash receipt application tailored to medical action services, addressing this issue. To achieve this goal, the research employs various methods, including data collection through interviews and documentation techniques. The current system is thoroughly analyzed, identifying its shortcomings and areas for improvement. Additionally, the Unified Modeling Language (UML) is employed to create a comprehensive design for the proposed cash receipt application. The outcome of this study is a well-crafted design for a medical action service cash receipt application. This application has the potential to streamline the process, reduce errors, and enhance the overall efficiency of health center operations. Implementing this system could significantly contribute to the improvement of healthcare services in the community, ultimately benefitting the public's health and well-being.
ANALISIS POTENSI PENINGKATAN PENJUALAN TOKO MITRA LAZADA AZGALERY DENGAN ALGORITMA C4.5 Fransisco, Rico Fransisco; Elisa, Erlin
Computer Based Information System Journal Vol. 12 No. 1 (2024): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v12i1.8350

Abstract

The potential for sales in online marketplaces is increasing over time due to the development and distribution of telecommunications signals and equipment. This event is an opportunity that can be exploited by partner shops selling on the marketplace, one of which is Azgalery Lazada partners. Azgalery has been around for 4 years with a total of almost 700 products in various categories ranging from women's fashion, men's fashion, home decoration to other household equipment. This research aims to help partner shops get a decision tree that can be used for making crucial decisions such as preparing the latest products and price research. Apart from that, this also increases the customer trust in the azgalery store itself so that they are more trustworthy in the eyes of customers. The method used is an implementation using data mining, especially classification using the C4.5 algorithm. This method is used to analyze sales potential with the help of existing data to support research to produce valid results.
Algoritma Classifier Untuk Menganalisis Faktor Pemilihan Hunian Tempat Tinggal elisa, erlin
Computer Based Information System Journal Vol. 8 No. 2 (2020): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v8i2.2423

Abstract

Batam City is the largest city in the RIAU archipelago, the population is also included in the island with the largest population when compared to other islands. According to data from the Central Statistics Agency (BPS), Batam City recorded the projected population growth in Batam in 2019 as many as 1,376,009 people. The development of the increasing population will gradually start to cause new problems, namely the problem of housing or housing. When viewed from the incident so far, the factors or reasons for choosing a residential place to live are not understood by the community so that when they buy, problems often occur, such as not matching the price or problems with developers such as difficult mortgage management and an unsuitable environment and many problems. other. This study will analyze the choice of residential housing with the C4.5 datamining technique and rapid mining as data testing tools, the results of this study show that the main factors for housing selection are clean water sanitation, accessibility, accessibility and price after testing the accuracy of C4.5 data. 25 sample data obtained 88.00% accuracy of the performance of this algorithm.
Co-Authors Adisaputra, Winarta - Agustira, Felia alfannisa annurrallah fajrin Alfannisa Annurullah Fajrin Alfannisa Fajrin Algifanri Maulana, Algifanri Alita Tiffana Amrizal Amrizal Amrizal Andi Maslan Andrianto Andrianto Anggia Arista anto, ridy Arista, Anggia aryanto, Mhd isrok Azwanti, Nurul Boru Sitorus, Melani Krissa Delvi Budi Santoso Butar Butar, Masro Shausi Darmansah, Darmansah Darmansyah , Darmansyah david Effendi, Bagus Cecep Eko Suharyanto, Cosmas Ellbert Hutabri, Ellbert Fajrin, Alfannisa fajrin, alfannisa annurrallah Febry irianti Simanjuntak, Sheryl Fernaldy, Kelvin Fransisco, Rico Fransisco Handoko, Koko Handoko, Koko Harman, Rika Hartati, Milasari Hendry . Hernandi, Gelen Betanio Holman Tua, Arnol Jeni, Jeni Chrisna Sitanggang Khe Ben KIKI VALENTINA SIANTURI Koko, Koko Handoko Larisma Nursinta Nainggolan Leonardo Lowensky, Elnas Mardiansyah, Yopy Maslan, Andi Muhammad Taufik Syastra NANDA HARRY MARDIKA Naomi, Cathrine Narti Eka Putria Nofriani Fajrah, Nofriani Nopriadi Nopriadi Novianti, Agnes Novri Adhiatma Novrianto NURJAYA NURJAYA, NURJAYA Nurma Dhona Handayani Rahmad Rahmat Fauzi Rahmat Fauzi Raymond Raymond Ronald Wangdra Satria, ROBBY Sijabat, Aditiya Riyanto Simanjuntak, Pastima Simanjutak , Pastima Simanjutak, Pastima Sinaga, Dewi Febryanti Sesilia Suharyanto, Cosmas Eko Suvianto Wangdra tan, Fitrini Tan, James Tanjung, Muhammad Iqbal Tipa, Handra Tri Utami, Yunita tukino, tukino Tukino, Tukino Uape, Frederikus Cyriaco Leu Le Vincent Z Viska, Indriani Yulia Wandela, Rido Sepka Wilianti, Livia Yvonne Wangdra Zetli, Sri Zetly, Sri