Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Informatika Polinema (JIP)
Catur Nugroho
Universitas Siber Asia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Library & Information Science

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

Found 2 Documents
Search

 1 
Sistem Pakar untuk Mendeteksi Gejala Awal Penyakit Apendisitis dengan Metode Case Based Reasoning (CBR) Berbasis Mobile Android Catur Nugroho; Ade Davy Wiranata; Rima Tamara Aldisa
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 4 (2022): OCTOBER-DECEMBER 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i4.553

Abstract

Appendicitis is caused by inflammation of the intestines (appenditis). The patient will feel pain in the lower right abdomen. This study explores this with several references, by designing an expert system an application is produced that is used to detect appendicitis. This process can help detect early symptoms starting from the user answering questions in the form of symptoms suffered by the user. The research applies the Case Base Reasoning method in the expert system by detecting the early symptoms of appendicitis using this android-based device. The research aims to add experience to users in finding out the disease they feel by entering the initial symptoms and providing solutions or it can be without consulting the nearest hospital or clinic. The results of the research. This android-based appendicitis expert system aims to help diagnose Appendicitis Inflammatory Disease for children under five and adults based on Android Mobile, and the Appendicitis Disease Diagnosis Expert System that was built to provide information easily starting from understanding, dangers, causal factors, symptoms of the disease and solution only by consulting the system and objectives can help provide a good solution.
Analisis Pemakaian Spare Part Alat Berat Mengunakan Simple Moving Average Catur Nugroho; T Raja Muda Alfarizi
Jurnal Informatika Polinema Vol. 12 No. 3 (2026): Vol. 12 No. 3 (2026)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v12i3.9491

Abstract

Pengelolaan suku cadang alat berat merupakan faktor vital dalam menjaga produktivitas operasional industri. Keterlambatan pengadaan komponen akibat pengelolaan stok yang masih manual seringkali memicu terjadinya downtime yang merugikan perusahaan. Penelitian ini bertujuan untuk merancang bangun sistem Dashboard Analitik Berbasis Web yang mengintegrasikan algoritma Simple Moving Average (SMA) untuk memprediksi kebutuhan suku cadang di masa depan. Metode pengembangan sistem menggunakan model Waterfall dengan implementasi bahasa pemrograman Node.js pada backend dan React.js pada frontend. Evaluasi akurasi peramalan dilakukan dengan membandingkan data aktual dan hasil prediksi menggunakan parameter Mean Absolute Error (MAE) dan Root Mean Squared Error (RMSE) melalui simulasi variasi periode waktu. Hasil penelitian menunjukkan bahwa algoritma SMA valid diterapkan, di mana periode 4 bulan (N=4) memberikan tingkat akurasi terbaik dengan nilai MAE dan RMSE terendah sebesar 0.75 dibandingkan periode lainnya. Implementasi sistem ini terbukti efektif dalam menyajikan informasi stok secara aktual dan membantu manajemen dalam pengambilan keputusan pengadaan barang yang lebih cepat dan presisi guna meminimalisir risiko kekosongan stok.
Co-Authors Ade Davy Wiranata Rima Tamara Aldisa T Raja Muda Alfarizi