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All Journal Informasi Interaktif Prosiding SNAST
Yuni Ambar S
Universitas AMIKOM Yogyakarta
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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PEMODELAN PROSES SISTEM KEPAKARAN DOKTER Julia Kurniasih; Yuni Ambar S; Wahit Desta; Yulius Nahak T; Faizul Ikhsan
PROSIDING SNAST Prosiding SNAST 2018
Publisher : IST AKPRIND Yogyakarta

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Abstract

Indonesian Doctors Association (IDI) as a professional organization requires an information system is used to store, process and display data of doctor's expertise. The patient’s needs in searching information about doctors, specialization and the schedule of practice; and the stake holder’s needs about information related to the doctor’s expertise must be fulfilled by the information system, in the form of website development. For the purpose of website development need to be modeled system processes that describe the structure and flow of data, rules, and procedures. Process modeling of expertise using flowchart. The modelling elements include actors (admin, doctors, patients and other users), roles (defining capacity of actors), activity (defining business process) and product (information provided by expertise system). The simulation of process modelling of expertise system illustrates the process searching information on the name of the practice institution, the license and schedule of practice. The practice permit can be checked through the local district health website. Other information displayed includes doctor's profile, devotion activity, research and publication; and that statistics.
PENERAPAN DATA MINING DALAM MENENTUKAN PEMBINAAN KOPERASI (STUDI KASUS : DINAS KOPERASI DAN UKM KABUPATEN KOTAWARINGIN TIMUR) Yuni Ambar S; Kusrini Kusrini; Henderi Henderi
Informasi Interaktif Vol 4, No 1 (2019): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

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Abstract

Currently coaching for cooperatives in the East Kotawaringin Regency Government is very necessary because of the existence of newly established cooperatives and those that have long been standing down and slow in the implementation of Annual Member Meetings (RAT). With the number of cooperatives currently the Cooperative Office lacks supervisory human resources, therefore cooperatives need to be taken into account that are prioritized on coaching. One way to dig data is Data Mining using statistical methods using the K-NN algorithm. In this study, the K-NN Algorithm is used in determining the Cooperative that is feasible for the coach. The results obtained from this study were to obtain the results of the classification of cooperatives that deserved coaching with an accuracy of 96.33 percent. Keywords : Coaching, Clasification, K-Nearest Neighbour
Co-Authors Faizul Ikhsan Henderi . Julia Kurniasih Kusrini Kusrini Wahit Desta Yulius Nahak T