Claim Missing Document
Check
Articles

Found 3 Documents
Search

CHATBOT DESIGN BASED ON RULES TO SUPPORT MEDICAL INFORMATION SERVICE AT PT. REKSA NUSINDO SEJAHTERA Arianto, Habib; Panjaitan, Dodi Syahputra; Ayuningsih, Ekatri; Rahma, Maulidya
Bahasa Indonesia Vol 15 No 02 (2023): Instal : Jurnal Komputer Periode (Juli-Desember)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v15i02.289

Abstract

PT Reksa Nusindo Sejahtera is a medical appliances company that sells health and medical devices for personal and public use. PT Rekza Nusindo sells medical appliances by implementing web-based applications to enhance its own branding. However, the provision of information on the website pages is often a question for its consumers so it seems that web-based applications are still less interactive in serving consumers within 24 hours. The AI chatbot will be implemented to support the information service at the PT Reksa Nusindo Sejahtera. PT Recsa Nusindos use the AI Chatbot service to make much more efficient, increase customer satisfaction and improve operational efficiency. The design of AI chatbots using the Watson Assistant Service will be deployed on the website of PT reksa nusindos to support information and respond to questions asked by consumers related to medical appliances quickly and accurately.
Briket Inovatif Dari Ampas Kopi Dan Strategi Penjualan Digital Untuk Mendorong Green Economy Yang Berkelanjutan Silalahi, Flora; Panjaitan, Dodi Syahputra
Bis-a Vol. 13 No. 01 (2024): BIS-A
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55445/bis-a.v13i01.57

Abstract

Peningkatan konsumsi kopi di Indonesia berdampak pada tingginya limbah ampas kopi yang belum dimanfaatkan secara optimal. Penelitian ini mengkaji potensi ampas kopi sebagai bahan baku briket ramah lingkungan dan strategi digitalisasi dalam pemasaran produk tersebut. Dengan pendekatan ekonomi sirkular dan pemasaran digital, inovasi ini berpotensi mendorong pengurangan limbah organik, penyediaan energi alternatif, serta pertumbuhan ekonomi hijau secara berkelanjutan. Hasil kajian menunjukkan bahwa briket ampas kopi memiliki nilai efisiensi energi yang tinggi, dan digitalisasi mampu memperluas pasar serta mempercepat adopsi produk ramah lingkungan di masyarakat.
A Decision Support System for Selecting Employees Eligible for Bonuses at Uflo Technology Indonesia Using the Analytical Hierarchy Process (AHP) Method Tembusai, Zoelkarnain Rinanda; Santoso, Ahmad Imam; Panjaitan, Dodi Syahputra
Journal of Technology and Computer Vol. 3 No. 2 (2026): May 2026 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Decision Support Systems (DSS) play a crucial role in minimizing cognitive biases in human resource management processes, particularly in employee incentive or bonus schemes. This study aims to design, develop, and implement a web-based decision support system to determine which employees are most deserving of annual bonuses at Uflo Technology Indonesia by applying the Analytical Hierarchy Process (AHP) method. Conventional performance evaluations, which are often subjective, have the potential to reduce work motivation and lead to organizational injustice. To address these dynamics, this system objectively evaluates employee performance based on five main criteria: discipline, productivity, teamwork, work quality, and initiative and creativity. Empirical evaluation data is sourced directly from Uflo Technology’s internal systems, including digital attendance records and daily job reports. Through the AHP algorithm, each criterion is analyzed using hierarchical decomposition and pairwise comparison to generate a consistent global priority weight, where the Consistency Ratio (CR) is rigorously tested to ensure it remains ≤ 0.1. The final results of the study show that the system successfully performs automatic evaluation synthesis and alternative ranking. Computational validation using real-world data placed the Dodi alternative at the highest rank with a final score of 0.335. The implementation of this web-based system has proven capable of improving accuracy, transparency, and time efficiency in the managerial decision-making process within a corporate environment.