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OPTIMASI ALGORITMA NAIVE BAYES DENGAN PARTICLE SWARM OPTIMIZATION UNTUK MENIN…
Water quality is a fundamental aspect of life, particularly in regions that rely on rivers as the primary source of raw water. However, anthropogenic activities such as industrial, agricultural, and domestic processes have contributed to increasing water pollution, while the demand for clean water continues to rise in line with population growth. This study aims to develop a water quality class…
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- xi, VI-2 hlm.; ilus.; tab.; 29 cm
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- T1840502025
KLASIFIKASI JENIS GANGGUAN TIDUR MENGGUNAKAN METODE LONG SHORT TERM MEMORY (L…
Sleep quality plays a critical role in maintaining physical, mental, and emotional wellbeing. Early detection of sleep disorders such as insomnia and sleep apnea is essential for enabling more effective clinical interventions. This study investigates the optimization of sleep disorder classification using Long Short-Term Memory (LSTM) networks based on time-series data incorporating 13 physiolo…
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- xxi, V-2 hlm.; ilus.; tab.; 29 cm
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- T1840202025
PENGEMBANGAN ALAT DETEKSI API PADA KEBAKARAN BERBASIS KAMERA DAN SENSOR GPS S…
Fires are unexpected events that often occur in daily life, causing significant threats and losses to the public. Early fire detection plays a crucial role in disaster mitigation and environmental protection efforts, especially in areas prone to fire incidents such as forests and open lands. Delays in detecting the presence of fire can lead to wider and harder-to-control spread. Therefore, a sy…
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- xiii, 53 hlm.; ilus.; tab.; 29 cm.
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- T1840572025
ANALISIS META KARAKTER DAN PERAN PADA GAME ONLINE FIRST PERSON SHOOTER VALORA…
Valorant is a form of online entertainment in the FPS (First-Person Shooter) genre, released by Riot Games in 2020, and it remains popular among gamers today. The online game Valorant offers a wide range of characters with unique skills and roles, requiring teamwork and strategy to win matches. This presents a challenge for new players entering the game, as they may struggle to adapt. Therefore…
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- xv, 78 hlm.; ilus.; tab.; 29 cm.
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- T1641572024
ANALISIS META SENJATA PADA PERMAINAN FIRST PERSON SHOOTER VALORANT MENGGUNAKA…
This research aims to analyze weapon meta in the First Person Shooter (FPS) game Valorant using the K-Median algorithm. This algorithm is applied to cluster weapons based on performance parameters such as Average Damage per Round (ADR) and Average Combat Score (ACS). The clustering results show that the K-Median algorithm produces groupings more resilient to outliers compared to other algorithm…
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- xi, 91 hlm.; ilus.; tab.; 29 cm.
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- T1641012024
OPTIMASI VEHICLE ROUTING PROBLEM WITH TIME WINDOWS (VRPTW) MENGGUNAKAN METODE…
The distribution of goods in the logistics sector faces challenges in optimizing distance, time, and delivery route efficiency. The Vehicle Routing Problem (VRP), including its variant VRPTW, which considers time constraints, is an effective approach to address these challenges. This study applies the Variable Neighborhood Search (VNS) algorithm as a heuristic method to solve the VRPTW. VNS lev…
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- xv, 97 hlm.; ilus.; tab.; 29 cm.
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- T1641102024
KLASIFIKASI PENYAKIT BERBASIS BAGGING MENGGUNAKAN NAÏVE BAYES, DECISION TREE…
In classification, finding the optimal model to handle a specific problem is crucial. Various algorithms, such as Naïve Bayes, Decision Tree, and Support Vector Machines (SVM), each have their own strengths and weaknesses. One commonly used technique to enhance model performance is Bagging, the ensemble technique. Bagging combines weak models into a stronger model by reducing bias and variance…
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- xvii, 88 hlm.; ilus.; tab.; 29 cm.
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- T1605072024
PENERAPAN DATA MINING DALAM MENGELOMPOKKAN BENCANA ALAM MENGGUNAKAN ALGORITMA…
Natural disasters are a major problem faced by many regions, including Central Java Province, where natural disasters often result in losses both in terms of casualties and material. This research focuses on the application of the K-Medoids algorithm to analyze data on natural disaster events in Central Java Province. The data analyzed in the time span of 2019 to 2023, which was obtained from t…
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- xvii, 113 hlm.; ilus.; tab.; 29 cm.
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- T1636112024
OPTIMASI FUNGSI KEANGGOTAAN FUZZY TSUKAMOTO DALAM MEMPREDIKSI CURAH HUJAN DI …
Rainfall is a natural phenomenon that plays an important role in various aspects of human life, such as agriculture, the environment, and water resource management. Accurate rainfall prediction is crucial for effective planning and decision-making. The complexity of rainfall and unpredictable climate changes make rainfall prediction challenging. Therefore, a prediction method capable of capturi…
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- xvi, xviii hlm.; tab.; ilus.; 29 cm
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- T1456092024
PERBANDINGAN METODE LEARNING VECTOR QUANTIZATION DAN SELF ORGANIZING MAP PADA…
School accreditation is carried out for self-evaluation and visitation to determine the feasibility of a school's performance. The results of accreditation can be used to determine the level of school eligibility compared to the national eligibility standards which are used as standard limits. Accreditation data research uses 8 independent variables, namely content standards, process standards,…
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- xviii, 85 hlm.; ilus., tab.: 28 cm
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- T335612020
CLUSTERING TARAF KESEJAHTERAAN KABUPATEN/KOTA DI INDONESIA MENGGUNAKAN KOMBIN…
The problem of people's welfare is a problem that must be faced by developing countries like Indonesia. Many indicators influence the level of people's welfare. Therefore, it is necessary to group districts / cities to assist in policy making. This study uses a combination of K-means and Hierarchical clustering methods. K-means has the ability to classify large amounts of data with relatively f…
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- xv, 85 hlm.; ilus., tab.: 28 cm
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- T391372020
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