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All Journal INTI Nusa Mandiri Akrab Juara : Jurnal Ilmu-ilmu Sosial INSANtek – Jurnal Inovasi dan Sains Teknik Elektro Jurnal Manajemen Jurnal Elektronika dan Teknik Informatika Terapan Journal of Technology Informatics and Engineering Jurnal Ekonomi, Manajemen, Akuntansi
Trisna Fajar Prasetyo
Universitas Bina Sarana Informatika
Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Medicine & Pharmacology Social Sciences

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Design Framework of Expert System Program in Otolaryngology Disease Diagnosis use Extreme Programming (XP)Method(Case Study in THB Bekasi Hospital) melyani, Melyani; Prasetyo, Trisna Fajar; Rahadjeng, Indra Riyana; Mufid, Zainul; Rafik, Ahmad; Shaura, Rizkiana Karmelia; Daniel, Daniel; Emita, Isyana
Journal of Technology Informatics and Engineering Vol. 3 No. 3 (2024): December (Special Issue: Big Data Analytics) | JTIE: Journal of Technology Info
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v3i3.209

Abstract

The prevalence of Ear, Nose, and Throat (ENT) diseases presents diagnostic challenges, especially in resource-limited settings. At THB Bekasi Hospital, constrained specialist availability and long consultation queues highlight the need for an accessible diagnostic solution. This study aims to develop an expert system for diagnosing ENT diseases using the Extreme Programming (XP) methodology, incorporating the forward chaining technique for inference. The research includes assessment, knowledge acquisition through expert consultations, system design, and rigorous testing. The system was developed as a mobile application using Android Studio, enabling users to input symptoms and receive real-time diagnostic insights. The knowledge base integrates data from medical experts, synthesizing 11 diseases and 35 symptoms into a robust decision-making framework. The diagnostic process applies predefined rules to ensure accuracy in identifying conditions such as sinusitis, laryngitis, and otitis. Evaluation results demonstrate a 100% match accuracy during testing with 15 test cases, confirming the system’s reliability. The application offers users rapid diagnostic assistance, promoting timely treatment for ENT issues, although it does not substitute medical professionals. By leveraging ubiquitous smartphone access, this system addresses gaps in healthcare accessibility and enhances patient autonomy. This research contributes a scalable framework for deploying expert systems in other medical domains. Future improvements include integrating geolocation services for nearby specialist referrals and adopting backward chaining for more complex diagnoses, thereby broadening its applicability and utility
FORMULASI MODEL SPASIOTEMPORAL DIGITAL TWIN DALAM SIMULASI DAMPAK KENAIKAN MUKA AIR LAUT Mufid, Zainul; Gani, Ahmad; Prasetyo, Trisna Fajar
INTI Nusa Mandiri Vol. 20 No. 2 (2026): INTI Periode Februari 2026
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v20i2.8157

Abstract

Sea level rise (SLR) due to climate change poses an existential threat to coastal areas, especially in archipelagic countries such as Indonesia. An effective policy response requires simulation tools that can represent spatial and temporal dynamics in an integrated manner. This study formulates and tests a spatiotemporal model based on Digital Twin to simulate the impact of SLR on infrastructure, settlements, and coastal ecosystems. This model combines satellite altimetry data (Sentinel-3), bathymetry data, a 2D hydrodynamic model (Delft3D), and CMIP6 climate projections (SSP2-4.5 and SSP5-8.5) within a cloud-based Digital Twin framework. The case study was conducted in urban coastal areas with high subsidence, which are among the areas with the highest rates of land subsidence in the world. The simulation covers KMA scenarios up to 2050, with a spatial resolution of 5 meters and daily temporal resolution. The results show that in the SSP5-8.5 scenario, up to 68% of urban coastal areas with high subsidence will be below the average sea level in 2050 without intervention. This spatiotemporal model achieved a flood prediction accuracy of 91.3% (based on spatial IoU) compared to historical tidal flood data from 2020–2024. In addition, the system allows for the evaluation of the impact of mitigation infrastructure such as the North Coast Sea Wall (NCICD). This study proves that the formulation of spatiotemporal models in Digital Twin provides a critical foundation. Additionally, the system enables the evaluation of the impact of mitigation infrastructure such as the North Coast Sea Wall (NCICD).
Pengaruh Suhu, Kelembapan dan Angin terhadap Polusi Udara: Studi Kasus Dataset Air Quality Trisna Fajar Prasetyo; Ahmad Gani; Zainul Mufid
INSANtek Vol. 6 No. 1 (2025): Mei 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/insantek.v6i1.8826

Abstract

Salah satu indikator utama kesehatan lingkungan adalah kualitas udara, karena faktor cuaca seperti suhu, kelembapan, tekanan udara, dan kecepatan angin sangat memengaruhi polusi udara. Dengan menggunakan dataset Kualitas Udara Unique Client Indentifier (UCI), yang mengandung parameter lingkungan dari wilayah perkotaan, tujuan penelitian ini adalah untuk melihat bagaimana variabel cuaca dan kualitas udara berkorelasi satu sama lain. Penelitian ini melihat dampak parameter cuaca seperti suhu, kelembapan relatif, tekanan atmosfer, dan kecepatan angin terhadap konsentrasi polutan seperti Carbon Monoxide (CO), Nitrogen Dioxide (NO2), dan Ozon (O3). Data set dibersihkan untuk menghilangkan nilai yang hilang, dan kemudian dilakukan analisis regresi linier sederhana dan korelasi Pearson. Hasil penelitian menunjukkan hubungan positif antara kelembapan dan NO2, dan korelasi negatif yang signifikan antara suhu dan konsentrasi CO. Studi ini menunjukkan bahwa cuaca memainkan peran penting dalam perubahan kualitas udara, sehingga bisa dikatakan bahwa pemantauan cuaca dapat menjadi alat prediktor untuk pengaturan lingkungan perkotaan di masa yang akan datang. 
Co-Authors Achmad Ridwan Ade Onny Siagian Ahmad Gani Bryan Givan Daniel Daniel Dewanto, Guntur Wahyu Fazhar Sumantri Gani, Ahmad Indra Riyana Rahadjeng Isyana Emita Melyani Melyani Melyani Melyani, Melyani Mufid, Zainul Rafik, Ahmad Rian Tedy Lestari Rizkiana Karmelia Shaura Sudaradjat, Djadjat Zainul Mufid