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All Journal Jurnal Bumigora Information Technology (BITe) Journal of Informatics, Intelligent Technology, Cybersecurity, and Software (JIITeCS)
Rizky Nurbarokah Tarmino
Universitas Muhammadiyah Papua
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Sistem Pakar Prognosis Covid-19 Menggunakan Algoritma Forward Chaining Yasinta Bella Fitriana; Nur Fitrianingsih Hasan; Rizky Nurbarokah Tarmino; Semi Giyai
Jurnal Bumigora Information Technology (BITe) Vol 4 No 2 (2022)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v4i2.2399

Abstract

Coronavirus disease 2019 (COVID-19), which is a global pandemic, has resulted in trillions of losses for Indonesia. Even though the right treatment for COVID-19 can help improve the quality of life again, reduce health and economic problems for the community and the country. Handling/clinical management of the prognosis of a disease can assist doctors, medical teams and researchers in finding patterns of progression of a disease, allocating resources and helping patients and their families to understand more about the patient's condition. Prognosis is a prediction about the development of a disease will improve or vice versa based on the history, diagnosis and clinical management that the patient has gone through. This study builds a COVID-19 prognosis tool and its level of accuracy with intelligent technology based on artificial intelligence, namely an expert system using a forward chaining algorithm. Through the stages of knowledge representation, process modeling, system design, coding and system testing. The result is that the accuracy of the COVID-19 prognosis expert system is 80%, which means that the prognosis expert system with the forward chaining algorithm is effective as a learning tool for health or medical students in studying the prognosis/management of confirmed COVID-19 patients based on available data.
Sistem informasi manajemen penjualan pada Toko Rizky berbasis website Rizky Nurbarokah Tarmino; Nur Fitrianingsih Hasan; Musfiroh Musfiroh
Journal of Informatics, Intelligent Technology, Cybersecurity, and Software (JIITeCS) Vol. 1 No. 1 (2026)
Publisher : LPPM Universitas Muhammadiyah Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67618/pw57cb05

Abstract

Sistem informasi manajemen penjualan memiliki peran penting dalam menunjang kelancaran operasional bisnis, termasuk di Toko Rizky. Penelitian ini mempunyai tujuan guna merancang dan membangun sistem informasi manajemen penjualan berbasis website yang mendukung dalam pencatatan transaksi, pengelolaan stok barang, serta memungkinkan pembuatan laporan dengan lebih cepat dan akurat. Metode pengembangan yang digunakan adalah System Development Life Cycle (SDLC) model Waterfall, dengan analisis kebutuhan mengacu pada metode PIECES (Performance, Information, Economy, Control, Efficiency, Service). Namun, dalam penelitian ini hanya aspek PICE (Performance, Information, Control, Efficiency) yang digunakan sebagai parameter untuk menilai kebutuhan sistem. Sistem yang dikembangkan diuji menggunakan metode blackbox untuk memastikan fungsionalitas berjalan sesuai spesifikasi, serta System Usability Scale (SUS) untuk menilai tingkat kemudahan penggunaan. Hasil pengujian blackbox menunjukkan tingkat keberhasilan sebesar 100%, yang berarti semua kegunaan sistem berfungsi sesuai seperti rancangan. Pengujian SUS menghasilkan skor 80,2 yang berada pada kategori baik, menandakan sistem mudah digunakan dan sesuai kebutuhan operasional. Melalui penerapan sistem ini, proses transaksi dan pengelolaan data di Toko Rizky menjadi lebih cepat, akurat, dan terorganisir, sehingga dapat meningkatkan efektivitas dan efisiensi pelayanan.
Co-Authors Hasan, Nur Fitrianingsih Musfiroh Musfiroh Semi Giyai Yasinta Bella Fitriana