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Journal : SAINTEK

Klasterisasi Data Penggunaan Layanan BPJS Kesehatan Menggunakan Algoritma K-Means Sandi Salvan N N; Wahyu Hadikristanto; Edora Edora
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/SAINTEK0101.121127

Abstract

BPJS Health, which is organized by the government by upholding the principle of mutual assistance in equalizing public health insurance, many patients use these facilities. The clustering method is processed with the K-Means algorithm, where the results also show a new insight, namely grouping the use of BPJS health services based on 3 clusters. Cluster 1 is a category of health facilities with low or Low use of BPJS health services, which is 353 out of 1000 categories of health facilities based on the number of BPJS health service usages tested, then cluster 2 is a category of health facilities with moderate or Medium use of BPJS health services, which is 474 out of 1000 categories. the name of the health facility based on the number of health BPJS service usage tested, and lastly cluster 3 is the category of health facility name with the use of BPJS health services quite high or High, namely 173 out of 1000 categories of health facility names based on the number of health BPJS service usage tested. Tests using Rapid Miner tools can also produce similar insights, namely each cluster has cluster group members according to manual calculations such as Cluster_0 on Rapid Miner has 474 cluster members representing the Medium cluster, Cluster_1 has 353 cluster group members as the Low cluster representation, and Cluster_2 has 173 cluster members that correspond to the cluster representation of High. Keywords: Data Mining, K-Means, BPJS Health
Prediksi Penjualan Obat Dengan Algoritma Regresi Linear Dichi Setiawan; Nurhadi Surojudin; Wahyu Hadikristanto
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

Medicine is one part of the process of health services, such as hospitals, clinics or other health services. Linear regression is used to find out how the dependent variable can be predicted through independent variables or predictor variables. Prediction of total future drug sales per month can be known through the use of drug sales datasets through a predictive method approach through structured stages in analyzing the data used. The application of a simple Linear Regression algorithm model can be implemented properly and is able to show a new insight for the prediction needs of the condition of drug sales per month in the future for the next 12 months. Performance testing of the models and algorithms used in the evaluation can produce an overview that is relevant to the scenario being modeled. The RMSE value obtained when evaluating the model's performance is 0.452 +/- 0.000 through the RapidMiner Studio application. Keywords: Data Mining, Linear Regression, Medicine
Rancang Bangun Sistem Informasi Sekolah Berbasis Website (Studi Kasus : SDIT Azzhahiriyah) Naufal Muyassar; Wahyu Hadikristanto; Muhamad Fatchan
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

The progress of science and technology at this time shows that speed, convenience, and security are the main considerations and benchmarks in facing global challenges. Information systems must be able to be effective and efficient in providing a series of information flow processes to improve the quality and quantity and satisfaction of clients or work partners. "Designing Website-Based School Information System (Study: SDIT Azzhahiriyah)" is a problem that exists in schools, namely the provision of information from schools to the community. The purpose of this research is to make it easier to disseminate school information in disseminating information from the school side and school activities, see contacts or contact schools. In the design the author uses phpmysql and xampp. This manufacturing process uses the waterfall method. This research shows that the existence of a website-based information system will make it easier to find out school information. Keywords: Design, Information System, Waterfal, Website
Sistem Informasi Point Of Sale (POS) Berbasis Web Menggunakan Metode Prototype Pada Toko Kasse Mico Giovanni Dermawan; Suherman Suherman; Wahyu Hadikristanto
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

In the age of computerized technology in small or medium-scale goods trading companies in Indonesia, there are still many who have not used it. Like the Kasse Store, it still doesn’t use computer technology. There are still use the manual method of collecting transaction data, because they still use the book system to record sales transaction. This Point of Sale application will be designed using the prototyping method and also using PHP and MySQLi because it saves time. The goal is for Kasse Store to be able to collect all sales transaction data without having to hardwrite it in a book. The result of this research is a web-based Point of Sale application that can document and produce detailed reports, making activities easier and more efficient. The conclusion is with the Point of Sale application at the Kasse Store can save time in making sales transaction and as an automatioc income counter. Keywords: Point of Sale Application, Prototyping Method, PHP, MySQLi
Implementasi Data Mining Dalam Menentukan Penjualan Paket Internet Dan TV Kabel Dengan Metode Algoritma C4.5 Pada PT Link Net Fajar Arief Rachman; Wahyu Hadikristanto; Arvita Emarilis Intani
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

APT Link Net is a multimedia company that became the first provider in Indonesia that provides internet speeds of up to 100 Mbps and provides more than 90 local and international channels with digital picture quality and stereo sound, PT. Link Net offers several choices of internet and cable TV packages such as Dlite, Elite, Family, Family Plus, Maxima, School, Supreme, judging by the large number of sales for these packages and there is no predictor of determining the sales of the best-selling and not-selling packages. The research uses data mining techniques using the C4.5 algorithm to analyze or determine package sales so that they can prepare more supporting tools to be used for best-selling packages. This study uses sales data sourced directly from PT. Link Net in 2021. The stages in the C4.5 Algorithm use six KDD (Knowledge Discovery in Databases) steps which include activities, namely, selection, preprocessing, transformation, data mining, Interpretation Evaluation. Through testing using rapidminer with an accuracy rate of 99.5%, thus the C4.5 Algorithm is very well used to implement this sales data. From the explanation above, it can be concluded that the best-selling Internet and cable TV packages at PT. Link Net namely Family and Family Plus. Keywords: Data Mining, C4.5 Algorithm, Decision Tree, Prediction
Co-Authors ., Sapardi Abdul Halim Anshor Abdul Hasyim Abimanyu, Aldo Anggito Achmad Firmansyah Putra Adriansyah, Putri Nabila Adinda Agung Nugroho Ahmad Zy Ahmad, Asyari Alfarizi, Muhammad Farhan Ali Nurdiansyah Ananto Tri Sasongko Andika, Sophian Andri Firmansyah Anggara, Bastian Anisa Anisa Anisa Rahmawati Anshor , Abdul Halim Ansor, Abdul Halim Ariandi, Sheva Rizky Arvita Emarilis Intani Aswan S Sunge Atma, Dodit Ardi Atthoriq, Syaifullah Ayu Fitriyani Badruzzaman, Aceng Dahyoung Yenuargo Dichi Setiawan Diki Febriani Dodit Ardiatma Doni, Muhamad Edi Junianto Edi Widodo Edora Edora Edora Edora, Edora Edy Widodo Eko Budiarto Ermanto Fadlurrohman, Muhammad Shiddiq Fajar Arief Rachman Fatchan, Muhammad Fauzi Ahmad Muda Gatot Tri Pranoto Gunawan, Ahmad Hanif, Sa’ad Khairudin Herdyanto, Febro Herol, Herol Holwati Ikmal Riyan Firmansyah Imam Nasai2 Indradewa, Rhian Intan Sari Rahayu Irfan Afriantoro Irfan Afriantoro Ismasari Ismasari Jamroni, A. Reza Baehaqa Jamroni Karsito, Karsito Keswanto Kurniadi, Nanang Tedi Laki, Abraham Leo Contantinus Meze Listanto, Firgiawan Maulida Ramadhan Mico Giovanni Dermawan Miharja, Muhammad Najamuddin Dwi Muhamad Fatchan Muhammad Fatchan Muhammad Makmun Effendi Muhammad Suprayogi2 Naufal Muyassar Nawangsih, Ismasari Nita Paramita Njai Njai Nur Azizah Nurhadi Surojudin Nurul Ariffaeni Islami Oktavianto, Rainal Zulian Permana , Indra Pradini, Purnama Sakhrial Prasetyo Prasetyo Pratama, Galang Rintang Widya Prayoga, Dimas Purdianto Purdianto Purwanto Purwanto Purwanto Putri N.A, Anindya Rahmawati, Shinta Melliana Rahmawati Rasmiati Nur Aeni Retno Purwani Setyaningrum Risky Bambang Sutrisna romanuddin, ahmad Rosyati Adelia S Suprapto Sandi Salvan N N Sanudin Satria Permana, Muhammad Safri Setiawan, Dani Yuda Dwi Siska Wulandari, Siska Suderajat, Agung Sufajar, Sufajar Sufajar, Suprapto Suhardian Suhardian Suherman Suherman Suherman Sunaryati , Titin Sunita Dasman Sya syah Apriliyani Syach, Ridwan Syariefur Rakhmat, Adrianna Taofik Safrudin Taufik Hidayat Tiani Ayu Lestari Tiara Deswara Pungkas Tri Ngudi Wiyatno Turmudi Zy, Ahmad Vidya Anis Fitri Yahya, Adiba Yahya, Adibah Yoga Religia Yusup, Diana