Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Journal Information System and Computer Application Mathematics, Informatics, Knowledge, And Information Research
Dyah Mustikasari
Teknik Informatika Fakultas Teknik Universitas Muhammadiyah Ponorogo
Computer Science & IT

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Rancang Bangun Sistem Informasi Pelayanan Desa Siwalan Berbasis Web Dengan Penerapan Algoritma Rule Based System dan Notifikasi Whatsapp Okti Liksyan Nita Tama; Fauzan Masykur; Dyah Mustikasari
MIKIR : Mathematics, Informatics, Knowledge And Information Research Vol. 2 No. 2 (2026): JUNE
Publisher : PT Mekar Research and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65475/msa72534

Abstract

Layanan administrasi pada tingkat pemerintahan desa saat ini menghadapi tantangan besar dalam hal peningkatan efisiensi, transparansi, dan aksesibilitas bagi masyarakat luas. Proses pelayanan administrasi di Desa Siwalan selama ini masih didominasi oleh tata kelola manual untuk pengajuan berkas persuratan maupun penanganan pengaduan. Hal tersebut berdampak pada penumpukan antrean, lamanya waktu tunggu verifikasi, serta keterbatasan kanal informasi real-time bagi warga desa. Penelitian ini bertujuan untuk merancang dan membangun sistem informasi pelayanan publik desa berbasis web dengan menerapkan kombinasi instrumen mesin inferensi Rule Based System dan integrasi notifikasi otomatis WhatsApp API. Metode pengembangan sistem dilaksanakan menggunakan pendekatan model Waterfall yang terstruktur secara sekuensial. Pengujian terhadap seluruh logika alur program internal dan aturan keputusan dilakukan melalui metode White Box Testing. Logika mesin inferensi dibangun menggunakan sekumpulan aturan logis kondisional IF-THEN untuk mengklasifikasikan status layanan (Baru, Diproses, Diterima, Ditolak) berdasarkan parameter validitas berkas secara otomatis. Hasil implementasi menunjukkan bahwa sistem informasi ini berhasil memangkas birokrasi layanan operasional desa. Pengujian White Box mengonfirmasi tingkat keberhasilan fungsional dan keandalan logika sistem sebesar 100%. Integrasi notifikasi WhatsApp mampu percepat penyampaian konfirmasi status pelayanan publik kepada masyarakat secara instan dan transparan.
Decision Support System for Recommendation of Competition Types for Elementary School/Islamic Elementary School/Equivalent Students Using the TOPSIS Method Valentino Shidney Shidney; Fauzan Masykur; Dyah Mustikasari; Raveenthiran Vivekanantharasa
MEKAR : Journal Information System and Computer Application Vol. 2 No. 1 (2026): APRIL
Publisher : PT Mekar Research and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65475/wc0xrk72

Abstract

The selection of students to participate in competitions at the elementary school/Islamic elementary school/equivalent level has been done manually and subjectively, potentially causing inaccuracies in determining the type of competition that suits the students' abilities. This study aims to develop a web-based Decision Support System (DSS) using the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method to recommend the right type of competition for elementary school/Islamic elementary school students in Parang District. This system was built using the PHP programming language and MySQL database, with four main criteria: academic grades (weighted 0.35), artistic grades (weighted 0.25), sports grades (weighted 0.20), and student interests (weighted 0.20). The system was developed using the waterfall method and testing was carried out using white box testing. The test results showed that the system was able to produce student rankings based on TOPSIS preference scores with a 100% accuracy rate compared to manual calculations. This system is expected to assist teachers in making decisions more objectively, systematically, and efficiently.
Co-Authors Fauzan Masykur Okti Liksyan Nita Tama Raveenthiran Vivekanantharasa Valentino Shidney Shidney