SCHOOL INSTITUTION DATA ANALYSIS APPLICATION BY FINDING INPUT ERRORS IN THE CENTER OF THE MINISTRY OF RELIGION

WISDI, FAIZ ATHALAH (2021) SCHOOL INSTITUTION DATA ANALYSIS APPLICATION BY FINDING INPUT ERRORS IN THE CENTER OF THE MINISTRY OF RELIGION. S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

Managing data is very important for a private or government organization. Data management can become a dependence on information systems because it can facilitate company performance. This paper is motivated by difficulties in processing school data by the Sub-Coordinator of Madrasah Data and Information Systems, GTK and PTKI, this is because there is still much incorrect data entered by the relevant school agencies. This is of course overcome by analyzing regional and attribute data every 6 months, but this causes ineffectiveness because they must analyze data from the beginning and take a long time. Therefore, the solution to this problem is to create an application that can analyze data automatically. The software/application development method in this problem is an agile methodology, using python as a programming language, and PyQt5 as a Graphic User Interface. After the application has been built and tested, it can be concluded that the benefits of this application can provide effectiveness in analyzing. However, it still has drawbacks, where this application can only analyze the "Lembaga_Profile" and "Lembaga_akreditasi" datasets for now. But with the agile method, we can evaluate it and apply the results of the testing evaluation. Key words: Data Management, Agile Methodology, Python, PyQt5 Manajemen data sangat penting bagi sebuah organisasi swasta atau pemerintah. Pengelolaan data dapat menjadi ketergantungan pada sistem informasi karena dapat mempermudah kinerja perusahaan. Penulisan ini dilatarbelakangi oleh kesulitan dalam pengolahan data sekolah oleh Sub Koordinator Sistem Data dan Informasi Madrasah, GTK dan PTKI, hal ini dikarenakan masih banyaknya data yang salah dimasukkan oleh instansi sekolah terkait. Hal ini tentunya diatasi dengan menganalisa data daerah dan atribut setiap 6 bulan sekali, namun hal ini menyebabkan ketidakefektifan karena harus menganalisa data dari awal dan memakan waktu yang lama. Oleh karena itu solusi dari permasalahan tersebut adalah dengan membuat sebuah aplikasi yang dapat menganalisa data secara otomatis. Metode pengembangan perangkat lunak/aplikasi dalam masalah ini adalah metodologi agile, menggunakan python sebagai bahasa pemrograman, dan PyQt5 sebagai Graphic User Interface. Setelah aplikasi dibangun dan diuji, maka dapat disimpulkan bahwa manfaat dari aplikasi ini dapat memberikan keefektifan dalam menganalisa. Namun masih memiliki kekurangan, dimana aplikasi ini hanya dapat menganalisa dataset “Lembaga_Profile” dan “Lembaga_akreditasi” untuk saat ini. Namun dengan metode agile, kita dapat mengevaluasinya dan menerapkan hasil evaluasi uji coba. Kata kunci: Manajemen data, Metodologi Agile, Python, PyQt5

Item Type: Thesis (S1)
NIM/NIDN Creators: 41518010084
Uncontrolled Keywords: Manajemen data, Metodologi Agile, Python, PyQt5
Subjects: 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000.01-000.09 Standard Subdivisions of Computer Science, Information and General Works/Subdivisi Standar Dari Ilmu Komputer, Informasi, dan Karya Umum
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: ADELINA HASNA SETIAWATI
Date Deposited: 05 Dec 2023 06:28
Last Modified: 05 Dec 2023 06:28
URI: http://repository.mercubuana.ac.id/id/eprint/84583

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