Pengembangan Sistem Informasi Profil Sekolah Pada SDN Wailiti Berbasis Web Menggunakan Metode Waterfall

SD Negeri Wailiti is an institution engaged in education located in Maumere City, Sikka Regency, East Nusa Tenggara Province, Indonesia. In carrying out its operational activities, SD Negeri Wailiti requires an effective and efficient information system to manage the school profile. School profile is the school's data that includes name, history, vision and mission, founder, address, city, contact number as well as school facilities and all forms of activities held by the school. Some of these data need to be packaged in a permanent online facility or media so that in the future it can be used. From the data obtained, it is said that the system used by SDN Wailiti is still oral, namely socialisation in the surrounding community and through information boards or brochures. The purpose of this research is to develop a web-based school profile information system at SD Negeri Wailiti using the waterfall method because this method is the most suitable development model used by developers, system project work is easy to control and can be on time. The programming language that the author uses is PHP (Hypertext Preprocessor) and uses MySQL database. This information system can be used by the school to improve the quality of information services to the community. Testing the feasibility of the system using blackbox testing.

Authors

Publication Details

Journal
Nian Tana Sikka Jurnal ilmiah Mahasiswa
Published
2025-06-24
DOI
https://doi.org/10.59603/niantanasikka.v3i4.911
Primary Topic
Educational Methods and Media Use
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pengembangan Sistem Informasi Profil Sekolah Pada SDN Wailiti Berbasis Web Menggunakan Metode Waterfall

Didakus Seru Jira, Yustina Yuliana Sugo, Magdalena Hogar, Gregorius Tega Nitit et al.
Nian Tana Sikka Jurnal ilmiah Mahasiswa
Educational Methods and Media Use
article

Pengembangan Sistem Informasi Profil Sekolah Pada SDN Wailiti Berbasis Web Menggunakan Metode Waterfall

Didakus Seru Jira, Yustina Yuliana Sugo, Magdalena Hogar, Gregorius Tega Nitit, Gabriel Novi Elias Fernande
article en

Abstract

SD Negeri Wailiti is an institution engaged in education located in Maumere City, Sikka Regency, East Nusa Tenggara Province, Indonesia. In carrying out its operational activities, SD Negeri Wailiti requires an effective and efficient information system to manage the school profile. School profile is the school's data that includes name, history, vision and mission, founder, address, city, contact number as well as school facilities and all forms of activities held by the school. Some of these data need to be packaged in a permanent online facility or media so that in the future it can be used. From the data obtained, it is said that the system used by SDN Wailiti is still oral, namely socialisation in the surrounding community and through information boards or brochures. The purpose of this research is to develop a web-based school profile information system at SD Negeri Wailiti using the waterfall method because this method is the most suitable development model used by developers, system project work is easy to control and can be on time. The programming language that the author uses is PHP (Hypertext Preprocessor) and uses MySQL database. This information system can be used by the school to improve the quality of information services to the community. Testing the feasibility of the system using blackbox testing.

Nian Tana Sikka Jurnal ilmiah MahasiswaVol. 3(4)
Quality Education
Openalex Percentile: Top 71%
Educational Methods and Media Use
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.