Muhammad Zarlis’s research while affiliated with Binus University and other places

... A statistical technique known as Logistic Regression uses a categorical, typically binary, dependent variable [34]. It simulates the likelihood that an input falls into a specific category. ...

Reference:

Traffic Management Enhancement: A Competitive Machine Learning System for Traffic Condition Classification

... This makes K-Medoid more robust to outliers, as medoids are real data points, whereas outliers can influence centroids [17,18]. The steps of the K-Medoid method include [19,20]: (1) Randomly selecting k medoids from the dataset; (2) Assigning each data point to the nearest medoid based on Euclidean distance; (3) Replacing medoids within clusters if other points serve as better medoids, reducing the total distance of points to the medoid; (4) Repeating steps 2 and 3 until medoids or clusters stabilize (convergence); (5) Determining the final clusters based on the resulting medoids, grouping each data point to the nearest medoid. ...

Reference:

Clustering Analysis of Umrah Pilgrim Data Based on the K-Medoid Method

... Selanjutnya data dari ekstraksi ciri dilakukan Normalisasi Z-Score, dengan mengubah data berdasarkan rata-rata dan standar deviasi, mengurangi dampak outlier. Ini menstandarkan data untuk memiliki rata-rata 0 dan standar deviasi 1, sehingga berguna ketika nilai minimum dan maksimum tidak diketahui [23]. Dengan cara mengubah nilai-nilai suatu fitur ke skala yang sama dengan menghilangkan satuan asli data. ...

Reference:

IMPLEMENTASI HYBRID INTELLIGENT SYSTEM UNTUK KLASIFIKASI JENIS BOLA BERBASIS COMPUTER VISION

... The performance of clustering algorithms remains an open question today, which is solved in various ways, in particular, by wireless hardware [8]. But work [8] lacks a solution for clustering the level of threats of air danger. ...

Reference:

Identification of air targets using a hybrid clustering algorithm

... Usaha rintisan (start-ups) tidak saja memerlukan kegigihan dalam berusaha (bekerja), tetapi juga memerlukan inovasi yang mendukung usaha itu dari sisi pengusaha [12][13][14][15][16][17][18][19][20]. Inovasi itu tergantung pada keilmiahan dari sisi cara sampai menghasilkan produk, atau modalitas itu dikenali secara baru agar memberikan modal interaksi dengan masyarakat atau lingkungannya, di mana masyarakat menerimanya dengan baik sebagai kunci dalam pemasaran dari usaha bisnis itu [21][22][23][24][25][26]. ...

Reference:

Usaha Rintisan (Start-ups)

... This aligns with our research's exploration of multi-model strategies, highlighting the synergy between extractive and abstractive techniques in producing coherent and accurate summaries. Furthermore, Arief et al. [15] offers a comprehensive review of the field, charting the progress and identifying emerging trends in scientific document summarization. Their insights into current methodologies provide a valuable context for our work, underscoring the importance of continuous innovation and the adoption of novel approaches in enhancing summarization techniques. ...

Reference:

Advanced Generative AI Methods for Academic Text Summarization

... Historically, ATC relied heavily on human controllers making real-time decisions based on limited information, leading to inevitable bottlenecks, delays, and inefficiencies. However, the advent of mathematical modeling has revolutionized the landscape of air traffic management (ATM) by providing decision-makers with data-driven insights and predictive capabilities (Nasution et al., 2023). At its core, mathematical modeling in ATC involves the creation of computational algorithms and models that simulate various aspects of air traffic dynamics. ...

Reference:

THE IMPACT OF MATHEMATICAL MODELING ON AIR TRAFFIC CONTROL EFFICIENCY: A COMPREHENSIVE STRUCTURED REVIEW

... It involves strategic resource allocation, workflow synchronization, and responsiveness to demand fluctuations. Advanced planning and scheduling systems have been shown to bring significant improvements in production lead times and resource utilization [13]. Production planning also plays a vital role in minimizing waste, reducing production costs, and enhancing overall supply chain efficiency [14]. ...

Reference:

The Effect of Artificial Intelligence Adoption, Demand Prediction, and Production Planning on Operational Efficiency in the Textile Industry in Jakarta

... Multifaceted, adequately extensive, and suitable enough data sets are pivotal to prevent the model from overfitting and enhance its generalizability. The accuracy of a network architecture dramatically affects its performance, its hidden layer being the critical one (18) . Models were compared based on the Mean Square Error (MSE) criterion using: ...

Reference:

Comparative Ergonomic Posture Analysis of CNC Milling Machine Workers through Digital Human Modeling and Artificial Neural Networks

... Pengumpulan Data Pengumpulan data dalam penelitian ini dilakukan melalui observasi dan kuesioner. [15]Observasi langsung operasional sistem E-Learning dilakukan untuk mengidentifikasi bagaimana prosedur dan kontrol diterapkan dalam praktik sehari-hari. [16] Peneliti mengamati secara langsung aktivitas dan interaksi yang terjadi dalam lingkungan E-Learning untuk memahami proses dan implementasi kontrol yang ada. ...

Reference:

Audit Sistem Informasi Dengan Framework Cobit 5 Pada E-Learning Menggunakan Domain DSS Dan MEA