output
20132026
most citedAnalysis of Student Satisfaction Toward Quality of Service Facility

79 citations

13 papers

physics.chem-ph2026

Polyaniline as a conductive polymer and its role in improving the efficiency and conductivity of perovskite solar cells

Mehran Hosseinzadeh Dizaj

This article investigates the role of polyaniline as a conductive polymer in the active layer of perovskite solar cells. Samples were created by incorporating polyaniline into the…

eess.SP2026

Demodulation of chaotic signals using convolutional neural network

Mykola Kozlenko, Emrullah Demiral, Anton Yudhana

Chaotic modulation is an effective communication technique that exploits deterministic chaos to produce pseudo-random signals. A widely adopted approach involves modulation of the…

cs.DC2025

SPARS: A Reinforcement Learning-Enabled Simulator for Power Management in HPC Job Scheduling

Muhammad Alfian Amrizal, Raka Satya Prasasta, Santana Yuda Pradata +3

High-performance computing (HPC) systems consume enormous amounts of energy, with idle nodes as a major source of energy waste. Powering down idle nodes can mitigate this problem,…

eess.IV2024★ 19 cited

Comparative Analysis of Image Enhancement Techniques for Brain Tumor Segmentation: Contrast, Histogram, and Hybrid Approaches

Shoffan Saifullah, Andri Pranolo, Rafał Dreżewski

This study systematically investigates the impact of image enhancement techniques on Convolutional Neural Network (CNN)-based Brain Tumor Segmentation, focusing on Histogram Equali…

cs.CV2023★ 12 cited

Nondestructive chicken egg fertility detection using CNN-transfer learning algorithms

Shoffan Saifullah, Rafal Drezewski, Anton Yudhana +7

This study explored the application of CNN-Transfer Learning for nondestructive chicken egg fertility detection for precision poultry hatchery practices. Four models, VGG16, ResNet…

cs.LG2023★ 23 cited

Optimized Three Deep Learning Models Based-PSO Hyperparameters for Beijing PM2.5 Prediction

Andri Pranolo, Yingchi Mao, Aji Prasetya Wibawa +2

Deep learning is a machine learning approach that produces excellent performance in various applications, including natural language processing, image identification, and forecasti…

eess.SP2021★ 14 cited

An analysis of voltage source inverter switches fault classification using short time Fourier transform

Mustafa Manap, Srete Nikolovski, Aleksandr Skamyin +3

The dependability of power electronics systems, such as three-phase inverters, is critical in a variety of applications. Different types of failures that occur in an inverter circu…

cs.NI2019

A Simulation Based Performance Evaluation of Optical Ethernet Switch

Dawit Hadush Hailu, Gebrehiwet Gebrekrstos Lema, Gebremichael T. Tesfamariam

With the advent of several new Cloud Radio Access Network (C-RAN) technologies, todays networking environment is dramatically altered and is experiencing a rapid transformation. On…

cs.DC2019★ 13 cited

Parallel mathematical models of dynamic objects

Roman Voliansky, Andri Pranolo

The paper deals with the developing of the methodological backgrounds for the modeling and simulation of complex dynamical objects. Such backgrounds allow us to perform coordinate…

cs.CR2018★ 3 cited

Digital Signature Security in Data Communication

Robbi Rahim, Andri Pranolo, Ronal Hadi +6

Authenticity of access in very information are very important in the current era of Internet-based technology, there are many ways to secure information from irresponsible parties…

physics.ed-ph2018★ 79 cited

Analysis of Student Satisfaction Toward Quality of Service Facility

Darmawan Napitupulu, Robbi Rahim, Dahlan Abdullah +7

The development of higher education is very rapid rise to the tight competition both public universities and private colleges. XYZ University realized to win the competition, requi…

stat.ME2018★ 10 cited

Modeling Data Containing Outliers using ARIMA Additive Outlier (ARIMA-AO)

Ansari Saleh Ahmar, Suryo Guritno, Abdurakhman +24

The aim this study is discussed on the detection and correction of data containing the additive outlier (AO) on the model ARIMA (p, d, q). The process of detection and correction o…

cs.AI2013★ 6 cited

A Fuzzy Topsis Multiple-Attribute Decision Making for Scholarship Selection

Shofwatul 'Uyun, Imam Riadi

As the education fees are becoming more expensive, more students apply for scholarships. Consequently, hundreds and even thousands of applications need to be handled by the sponsor…