Zakial Vikki
Universitas Islam Kebangsaan Indonesia

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Journal : Jurnal Tika

Sistem Informasi Pengelolaan Surat Di Universitas Islam Kebangsaan Indonesia (Uniki) Berbasis Web Zakial Vikki; Chaeroen Niesa
Jurnal Tika Vol 7 No 1 (2022): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (469.66 KB) | DOI: 10.51179/tika.v7i1.1123

Abstract

This study aims to build a management information system at the Indonesian National Islamic University (UNIKI). This research was conducted with a qualitative approach. Data collection techniques used are observation, and interviews. The research begins with problem identification, literature study, data collection carried out through detailed observation activities and interviews with the parties involved as well as collecting various related documents. The next step is to carry out a needs analysis, carried out by making documentation of the system requirements to be built and designing and implementing it using the PHP programming language and MySQL database, then testing, including the testing process with existing real data in order to find interface errors, write program code, and programming algorithm. This mail management system has items such as letter classification, internal mail, incoming mail data, outgoing mail data and letter disposition, this system makes mail management and archiving more effective.
Klasifikasi Tren Penyakit Pasien Bedasarkan Dianogsa Icd-10 Di Rumah Sakit Umum Cut Meutia Menggunakan Metode C4.5 Zakial Vikki; Yuswandi Yuswandi
Jurnal Tika Vol 7 No 3 (2022): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (476.662 KB) | DOI: 10.51179/tika.v7i3.1441

Abstract

The rapid development of information technology has impacted many people getting more and more data every day, even excessive. so that the use of the data is not optimal. Likewise patient medical record data at Cut Meutia General Hospital in North Aceh by serving patients every day. The large number of patients handled automatically makes this hospital accommodate a lot of patient medical record data with various types of diseases so that a method is needed to pattern the patient's disease data. For this reason, this study aims to find trends in patient disease at North Aceh Cut Meutia General Hospital based on ICD-10 diagnostics using data mining techniques by analyzing the C4.5 method where the C4.5 method creates a classification model from a large data set so as to produce patterns the new data pattern forms a decision tree (Decision Tree) useful for exploring data, finding relationships between a number of input variables with a target variable. The data used in this study were obtained from the North Aceh Cut Meutia General Hospital for 2020-2021 based on 4 variable data, namely age, gender, address and ICD-10 diagnosis. ICD-10 is a diagnostic classification with international standards that is compiled based on a category system and reports in disease units according to criteria agreed upon by international experts. ICD-10 (International Statistical Classification of Diseases and Related Health Problems 10th revision)