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All Journal Syntax: Journal of Software Engineering, Computer Science and Information Technology Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) International Journal of Health, Engineering and Technology Jurnal Informatika Dan Tekonologi Komputer
Firahmi Rizky
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Dentistry Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Nursing Public Health Veterinary Other

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Model Optimasi Model Optimasi Rute Transportasi Berbasis Pemrograman Linear Nazry, Hevlie Winda Nazry S; Ferdy Riza; Firahmi Rizky; Zuli Agustina Gultom; Muhammad Haris; Mika Debora Br Barus
Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Vol. 4 No. 1 (2025): EDISI JANUARI 2025
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jursi.v4i1.10586

Abstract

Transportasi merupakan salah satu elemen penting dalam mendukung aktivitas logistik dan distribusi. Efisiensi dalam perencanaan rute transportasi dapat mengurangi biaya operasional, waktu tempuh, serta dampak lingkungan. Penelitian ini bertujuan untuk mengembangkan model optimasi rute transportasi berbasis pemrograman linear yang mampu memberikan solusi optimal dalam penentuan rute. Model ini mempertimbangkan berbagai parameter, seperti jarak, waktu, kapasitas kendaraan, dan batasan operasional. Pendekatan pemrograman linear untuk menemukan solusi optimal terkait penentuan rute pengiriman yang efisien, dengan memperhatikan berbagai kendala seperti kapasitas kendaraan, permintaan pelanggan, dan waktu pengiriman. Model ini terdiri dari fungsi objektif yang meminimalkan total biaya transportasi, sementara kendala yang diterapkan meliputi batasan kapasitas kendaraan, pemenuhan permintaan pelanggan, dan batasan waktu perjalanan. Hasil penelitian menunjukkan bahwa penerapan model ini berhasil menghasilkan solusi yang optimal, dengan mengurangi biaya total pengiriman secara signifikan, sekaligus memenuhi semua persyaratan dan batasan yang ada. Model ini memberikan kontribusi dalam peningkatan efisiensi pengelolaan rute transportasi dan dapat diadaptasi untuk berbagai jenis sistem distribusi yang lebih kompleks
Utilization of Quantum Computing for Solving Advanced Mathematical Problems Hevlie Winda Nazry S; Firahmi Rizky; Ferdy Riza; Mika Debora Br Barus; Amin Harahap
International Journal of Health Engineering and Technology Vol. 3 No. 5 (2025): IJHET JANUARY 2025
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhet.v3i5.248

Abstract

his study explores the application of quantum computing in solving complex mathematical problems through the utilization of Grover's Algorithm. Grover's Algorithm, renowned for its efficiency in unstructured search, has been adapted for various mathematical applications requiring rapid solution searches within large solution spaces. In this study, we implement Grover's Algorithm on a quantum computing platform to address a range of complex mathematical problems, including nonlinear equations and combinatorial optimization. Experimental results demonstrate that Grover's Algorithm significantly reduces computational time compared to classical methods, highlighting the immense potential of quantum computing in advanced mathematics. These findings pave the way for the development of more sophisticated quantum algorithms and their applications across science, engineering, and technology domains.
E-Diagnostic Early Detection of Pulmonary Tuberculosis Disease Using Certainty Factor Method Dina Aulia Arsyika; Firahmi Rizky; Hevlie Winda Nazry S; Amin Harahap
International Journal of Health Engineering and Technology Vol. 3 No. 5 (2025): IJHET JANUARY 2025
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhet.v3i5.249

Abstract

Currently, technological developments are very rapid, this development has brought significant changes to the role and function of computer technology. Pulmonary Tuberculosis Pelnylakit is an infectious disease caused by the infectious bacterium Mylcobactelrium Tubelculosis. The Mellati Community Health Center is one of the Mellati Community Health Centers which provides early detection services for pulmonary tuberculosis patients in the Pelrbaungan District. Pulmonary Tuberculosis disease at the Melati Community Health Center is limited to four with sixteen symptoms. The programming language that will be used is MySQL database and PHP. With this research, the aim is to create a system with accurate results for pulmonary tuberculosis. This expert system uses the certainty factor method and can be used to solve problems regarding pulmonary tuberculosis in patients well. The final result of the diagnosis is in the form of several questions that will be answered by the patient according to the condition they feel.
Analisis Sentimen Nasabah Terhadap Pengguna M-Banking Raya Indonesia Menggunakan Metode Naïve Bayes Berbasis NLP Yusi Meilanda; Firahmi Rizky
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 6 No. 2 (2026): Juli : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v6i2.11282

Abstract

This study aims to analyze customer sentiment toward the use of the Raya Indonesia M-Banking app based on reviews on the Google Play Store using a Naïve Bayes method grounded in Natural Language Processing (NLP). Data was collected via web scraping, yielding 501 reviews, of which 474 were deemed valid after the selection process. The analysis stages included text preprocessing (case folding, cleansing, tokenizing, stopword removal, and stemming), feature extraction using TF-IDF, and classification using Multinomial Naïve Bayes with a training and testing data split of 80:20. The results of the study show that positive sentiment dominates at 62.66%, followed by negative sentiment at 31.43%, and neutral sentiment at 5.91%. Model evaluation yielded an accuracy of 75.79%, precision of 73.17%, recall of 75.79%, and an F1-score of 70.97%, indicating that the model performed quite well. Further analysis revealed that the main user complaints relate to login failures, transaction issues, and slow service responses; Thus, these findings provide a basis for evaluating and improving digital banking service quality.
ANALISIS DAN IMPLEMENTASI METODE NAÏVE BAYES DALAM MENDIAGNOSIS STATUS GIZI BALITA UNTUK OPTIMALISASI PEMBERIAN MPASI SEBAGAI UPAYA PENCEGAHAN STUNTING Firahmi Rizky; Safira Asari
Syntax : Journal of Software Engineering, Computer Science and Information Technology Vol 6, No 2 (2025): Desember 2025
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/syntax.v6i2.6496

Abstract

Penelitian ini bertujuan untuk menganalisis dan menerapkan Metode Naïve Bayes dalam mendiagnosis status gizi balita, agar dapat mengoptimalkan pemberian Makanan Pendamping ASI (MPASI) sebagai salah satu upaya pencegahan stunting. Status gizi balita merupakan indikator krusial dalam tumbuh kembang fisik dan mental anak, dan prevalensi stunting di Indonesia masih menjadi masalah kesehatan yang cukup signifikan. Melalui aplikasi berbasis android yang bernama E-Diagnostic, penelitian ini memanfaatkan keahlian di bidang gizi untuk membantu kader posyandu dan praktisi kesehatan dalam memberikan informasi dan rekomendasi yang akurat terkait status gizi balita. Metode Naïve Bayes diterapkan untuk menganalisis data yang meliputi jenis kelamin, usia, berat badan, dan panjang badan bayi. Diharapkan hasil dari aplikasi ini dapat memudahkan para ibu dalam memantau status gizi anaknya dan mencegah terjadinya masalah gizi yang lebih serius.Kata Kunci— Naïve Bayes, Status Gizi Balita, Sistem Pakar. This study aims to analyzeand apply theNaïve Bayes method in diagnosing thenutritional status of toddlers, in order to optimizetheprovision of Complementary Foods (MPASI) as a measureto prevent stunting. Thenutritional status of toddlers is a crucial indicator in thephysical and mental development of children, and theprevalenceof stunting in Indonesia is still a significant health issue. Through an Android-based application called E-Diagnostic, this study utilizes expertisein thefield of nutrition to help posyandu cadres and health practitioners in providing accurateinformation and recommendations regarding thenutritional status of toddlers. TheNaïve Bayes method is applied to analyzedata that includes gender, age, weight, and length of thebaby. It is hoped that theresults of this application can makeit easier for mothers to monitor their children's nutritional status and prevent moreserious nutritional problems.Keywords— Naïve Bayes, Toddler Nutritional Status, Expert System.
Co-Authors Amin Harahap Dina Aulia Arsyika Ferdy Riza Hevlie Winda Nazry S M. Syauqi Haris Mei Widianti Mika Debora Br Barus Safira Asari Yusi Meilanda Zuli Agustina Gultom