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All Journal JOISIE (Journal Of Information Systems And Informatics Engineering) Fortech : Journal of Information Technology
Nilawati Nilawati
Universitas Nurdin Hamzah
Computer Science & IT

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ANALISIS PENERIMAAN PERKULIAHAN V-CLASS DENGAN TEKNOLOGI ACCEPTANCE MODEL Riswan Riswan; Nilawati Nilawati
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol 5 No 1 (2021)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v5i1.1316

Abstract

Penerapkan v-class pada perkuliahan online pada masa pandemi Covid-19 telah tanggapi mahasiswa dengan berbagai macam respon baik positif mapun negatif. Untuk memperjelas keputusan yang dapat diambil akademik terhadap operasional v-class, maka dilakukanlah sebuah penelitian dengan metode pendekatan deskriptif kuantitatif yang bertujuan untuk mengukur penerimaan sistem informasi perkuliahan berbasis v-class menurut persepsi mahasiswa. Pengukuran ini bertujuan untuk mengevaluasi sistem dan mengetahui faktor yang mempengaruhi penerimaan dengan menggunakan Technologi Acceptance Model (TAM) Kuesioner digunakan sebagai instrumen pengukuran yang diperoleh dari 100 orang responden. Berdasarkan analisis deskriptif, nilai setuju responden terhadap kemudahan v-class adalah 3,98, nilai setuju kegunaan 3,84 dan nilai setuju variabel penerimaan v-class berada pada angka 3,88. Analisis regresi juga dilakukan pada penelitian ini untuk membuktikan dan mengetahui pengaruh variabel independen terhadap variabel dependen, dimana terbukti bahwa persepsi kemudahan berpengaruh pada penerimaan, persepsi kegunaan berpengaruh pada penerimaan, persepsi kemudahan berpengaruh pada kegunaan, dan persepsi kemudahan dan kegunaan secara bersama-sama berpengaruh pada penerimaan.
SISTEM PAKAR DIAGNOSIS PENYAKIT GINJAL (STUDI KASUS PADA RUMAH SAKIT ROYAL PRIMA) Riswan Riswan; Nilawati Nilawati; Ivon JJ
FORTECH (Journal of Information Technology) Vol 10 No 1 (2026): Fortech (Journal Of Information Technology)
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/8kgvp390

Abstract

Kidney disease is one of the health conditions that requires accurate diagnosis and proper treatment to prevent more serious complications. At Royal Prima Hospital, the diagnosis process for kidney disease is still performed directly by specialist doctors, resulting in patient queues due to the limited number of available medical personnel. To address this issue, a supporting system is needed to assist in the initial diagnosis process quickly and efficiently. This study aims to design and develop an expert system for kidney disease diagnosis that can assist patients and doctors in identifying diseases based on the symptoms experienced by patients. The research employed the Research and Development (R&D) method with the Waterfall system development model, which consists of requirements analysis, system design, implementation, testing, and maintenance stages. The system was developed using Visual Basic as the programming language and SQLyog (MySQL) as the database management system. The knowledge base was acquired from medical experts and consists of symptom data, disease data, and diagnostic rules that are processed by the inference engine to generate diagnostic recommendations. The results of the study indicate that the developed expert system is capable of processing symptom data entered by users and providing information regarding possible kidney diseases along with initial treatment recommendations. Based on the testing results, all system functions operated according to the specified requirements. The system can help accelerate the preliminary diagnosis process, reduce patient waiting times, and support doctors in delivering more effective and efficient healthcare services. However, the system serves only as a diagnostic support tool and does not replace the role of physicians in determining the final diagnosis and medical treatment for patients.
Co-Authors Ivon JJ Riswan Riswan Riswan Riswan