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All Journal Innotech Innobiz: Jurnal Ilmu Manajemen, Bisnis dan Keuangan
Michael Sitorus
Universitas Siber Indonesia
Computer Science & IT

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Agnes Medika : Sistem Pakar Diagnosis Dan Rekomendasi Obat Berbasis Artificial Intelligence Melalui AI Agent Medis Michael Sitorus; Serenade Theodora Dwica
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 3 No 2 (2026): Innotech Issue Juli 2026
Publisher : Universitas Siber Indonesia

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Abstract

The low ratio of physicians to patients has contributed to delays in medical treatment and the delivery of health information. This study introduces Agnes Medika, a web-based AI medical agent developed using the Agnes.ai platform to facilitate independent disease symptom identification and provide recommendations for over-the-counter medications. By utilizing a structured medical knowledge base that adopts the model of leading telehealth platforms such as Halodoc, Agnes Medika employs Natural Language Processing (NLP) to analyze patient symptoms and conducts an interactive rule-based screening process. The system architecture was designed using flowcharts and use case diagrams to develop a clean and responsive conversational (chat) interface. Experimental results demonstrate that the AI agent is capable of providing accurate preliminary triage outcomes while minimizing the risk of data hallucination through a grounding mechanism based on a trusted medical knowledge base. Furthermore, the system generates an informative digital medical summary accompanied by an appropriate clinical disclaimer. Agnes Medika functions as a reliable health Decision Support System (DSS) for self-assessment prior to professional clinical examination. The evaluation results indicate that the system provides structured information, including patient identity and a visual representation of disease indications, with an accuracy rate of 92% in identifying Common Cold cases.
Meningkatkan Investor Saham Gen Z di Indonesia Dhiya Nada Adinda; Ayi Wahid; Michael Sitorus
Innobiz: Jurnal Ilmu Manajemen, Bisnis dan Keuangan Vol 2 No 2 (2025): Bahasa Indonesia
Publisher : Universitas Siber Indonesia

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Abstract

Penelitian ini bertujuan untuk membuktikan dan menganalisis secara parsial maupun simultan literasi keuangan digital dan inovasi teknologi berpengaruh terhadap minat investor saham Gen Z. Unit analisis penelitian adalah anggota Kelompok Studi Pasar Modal (KSPM) dari universitas swasta di Jakarta. Metode yang digunakan dalam penelitian ini menggunakan kuantitaif dan deskriptif dengan sampel minimum 56 responden, sementara pengoalahan data menggunakan analisis jalur. Hasil penelitian menunjukkan bahwa literasi keuangan digital dan inovasi teknologi secara parsial maupun simultan berpengaruh positif dan signifikan terhadap minat investor Gen Z dengan kontribusi sebesar 92.30%. Inovasi Teknologi adalah faktor yang paling dominan berpengaruh terhadap tingginya minat investor Gen Z. Implikasi hasil temuan penelitian adalah untuk meningkatkan minat investor saham Gen Z yang direfleksikan dengan tingginya tingkat peningkatan investasi adalah dengan peningkatan inovasi teknologi yang direfleksikan dengan tingginya penggunaan aplikasi mobile dalam investasi saham, dan didukung dengan peningkatan literasi keungan digital terutama dalam tingginya memahami konsep investasi saham.
Co-Authors Ayi Wahid Dhiya Nada Adinda Serenade Theodora Dwica