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Menampilkan 1–5 dari 5 artikel
Implementasi Algoritma Shortest Path untuk Optimasi Rute pada Sistem Navigasi Lokasi
Sirlia Sahid
; Maissy Angelica Pakpahan
; Rifqi Putra Winanda
; Muhammad Raihansyah Lubis
; Adidtya Perdana
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Vol 4
, No 2
(2026)
The increasing complexity of urban road networks demands intelligent navigation systems capable of determining optimal routes efficiently. This research implements the Dijkstra Shortest Path algorithm to optimize route search on a location navigation system in Medan City. The system models a road network as a weighted graph comprising 57 strategic locations and over 90 road connections, represented using adjacency list data structures. The Dijkstra algorithm, implemented in Python using the heap...
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Optimasi Alokasi Sumber Daya Bantuan Sosial : Pendekatan Algoritma Greedy dan Analisis Komputasi
Maulana Al Nouri
; Tia Risky Yasmin Saketang
; Repi Meilani Putri
; Paskal Arienda Epidonta Ginting
; Adidtya Perdana
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Vol 4
, No 3
(2026)
The distribution of social assistance in Indonesia faces challenges such as inaccurate recipient data, overlapping programs, and limitations of traditional data management systems that lead to inaccurate targeting of aid. This study proposes a social assistance distribution optimization system using the Greedy algorithm that assesses recipient priorities based on economic conditions, number of family members, location, and urgency of needs with certain weights to produce objective rankings. This...
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Feature Selection pada Dataset NSL-KDD Menggunakan Algoritma Genetic Algorithm untuk Deteksi Serangan Jaringan
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi
Vol 3
, No 4
(2025)
Information system security faces serious challenges due to increasingly complex cyber attacks. Intrusion Detection Systems (IDS) require efficient approaches to handle high-dimensional data such as the NSL-KDD dataset with 41 features. This study aims to implement the Genetic Algorithm (GA) for feature selection on the NSL-KDD dataset to improve the efficiency and accuracy of network attack detection. The method used is computational experimental research, involving data preprocessing, GA imple...
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Optimasi Parameter Model LightGBM Menggunakan Algoritma Grey Wolf Optimizer untuk Prediksi Penyakit Ginjal Kronis
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi
Vol 3
, No 4
(2025)
Chronic kidney disease is an increasingly prevalent health issue that requires more precise clinical data-based early detection methods to enable timely and appropriate treatment. This study focuses on developing a predictive model for chronic kidney disease using the Light Gradient Boosting Machine (LightGBM) algorithm and enhancing its performance through hyperparameter optimization with the Grey Wolf Optimizer (GWO). The dataset used originates from public sources and undergoes several prepro...
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Optimasi Kurva Daya Turbin Angin Menggunakan Model Logistic Berbasis Particle Swarm Optimization (PSO)
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi
Vol 3
, No 4
(2025)
Accurate wind turbine power curve modeling plays a crucial role in performance evaluation, energy yield estimation, and data-driven control strategies. However, actual power curves often exhibit non-linear behavior influenced by atmospheric variability, measurement noise, and SCADA anomalies, making conventional modeling approaches less effective. This study proposes an optimized logistic power curve model whose parameters are tuned using Particle Swarm Optimization (PSO) to improve predictive a...
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