Kridanto Surendro - researchr alias

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Viewing Publication 1 - 62 from 62

2025

Designing a Quantum Annealing-Based Method for Optimizing Backpropagation Neural Networks in Greenhouse Gas Emissions PredictionWahyu Hidayat, Nur Ulfa Maulidevi, Kridanto Surendro. icsca 2025: 267-272 [doi]

Proposed Feature Dimensionality Reduction Method in a Predictive Model for Carbon Neutrality: A Hybrid Quantum-Classical ApproachGhifari Munawar, Nur Ulfa Maulidevi, Kridanto Surendro. icsca 2025: 154-160 [doi]

Carbon Footprint Management Architecture in Urban Mobility SystemsAsep Somantri, Yoanes Bandung, Kridanto Surendro. access, 13:164107-164129, 2025. [doi]

2024

A Hybrid Predictive Model as an Emission Reduction Strategy Based on Power Plants' Fuel Consumption ActivityNeng Ayu Herawati, Asyraf Atthariq Putra Gary, Erna Hikmawati, Kridanto Surendro. access, 12:47119-47133, 2024. [doi]

Improve the Quality of Recommender Systems based on Collaborative Filtering with Missing Data ImputationErna Hikmawati, Heru Nugroho, Kridanto Surendro. icsca 2024: 75-80 [doi]

A Comprehensive Bibliometric Analysis of Missing Value ImputationHeru Nugroho, Kridanto Surendro. access, 12:14819-14846, 2024. [doi]

Personalized neural network-based aggregation function in multi-criteria collaborative filteringRita Rismala, Nur Ulfa Maulidevi, Kridanto Surendro. jksucis, 36(1):101922, January 2024. [doi]

The Optimization of n-Gram Feature Extraction Based on Term Occurrence for Cyberbullying ClassificationYudi Setiawan, Nur Ulfa Maulidevi, Kridanto Surendro. datascience, 23, 2024. [doi]

Corrections to "Greenhouse Gas Emission Reduction Architecture in Computer Science: A Systematic Review"Asep Somantri, Kridanto Surendro. access, 12:162669-162670, 2024. [doi]

Greenhouse Gas Emission Reduction Architecture in Computer Science: A Systematic ReviewAsep Somantri, Kridanto Surendro. access, 12:36239-36256, 2024. [doi]

Improving embedding-based link prediction performance using clusteringFitri Susanti, Nur Ulfa Maulidevi, Kridanto Surendro. jksucis, 36(8):102181, 2024. [doi]

2023

Implementation of Design Thinking in Smart Carbon Footprint Monitoring Model for Buildings: Case Study: Bandung Institute of TechnologyByan Sakura Kireyna Aji, Erna Hikmawati, Kridanto Surendro. icsca 2023: 46-52 [doi]

ARAS: adaptation requirements for adaptive systemsAradea, Iping Supriana, Kridanto Surendro. ASE, 30(1):2, 2023. [doi]

A Framework for Actor-Oriented Automated Hate Speech DetectionRinda Cahyana, Nur Ulfa Maulidevi, Kridanto Surendro. icsca 2023: 283-289 [doi]

Development of IT Equipment Management Methodology based on Carbon Emission and End-of-Life Period with A Design Thinking Approach: Case Study: Bandung Institute of TechnologyVhydie G. Christianto, Erna Hikmawati, Kridanto Surendro. icsca 2023: 362-367 [doi]

TOGAF-based Enterprise Architecture Framework for Utilizing Artificial IntelligenceLeni Fitriani, Masayu Leylia Khodra, Kridanto Surendro. ic3ina 2023: 90-95 [doi]

Predictive Analytics Model for Optimizing Carbon Emission from Student Activity and Behavior with A Design Thinking Approach: Case Study: Bandung Institute of TechnologyMichael Hans, Erna Hikmawati, Kridanto Surendro. icsca 2023: 77-82 [doi]

Predictive Analytics Model for Optimizing Carbon Footprint From Students' Learning Activities in Computer Science-Related MajorsMichael Hans, Erna Hikmawati, Kridanto Surendro. access, 11:114976-114991, 2023. [doi]

Improved Classification Accuracy by Feature Selection using Adaptive Support MethodErna Hikmawati, Nur Ulfa Maulidevi, Kridanto Surendro. icsca 2023: 171-176 [doi]

The Effect of White Balance for Color Constancy on Visible LightToni Kusnandar, Judhi Santoso, Kridanto Surendro. icsca 2023: 144-149 [doi]

A Novel Method for Optimizing Color Selection Using the Hadamard Product TechniqueToni Kusnandar, Judhi Santoso, Kridanto Surendro. access, 11:130155-130164, 2023. [doi]

Modeling Integrated Sustainability Monitoring System for Carbon Footprint in Higher Education BuildingsNur Ulfa Maulidevi, Byan Sakura Kireyna Aji, Erna Hikmawati, Kridanto Surendro. access, 11:135365-135376, 2023. [doi]

kNN Imputation Versus Mean Imputation for Handling Missing Data on Vulnerability Index in Dealing with Covid-19 in IndonesiaHeru Nugroho, Nugraha Priya Utama, Kridanto Surendro. icsca 2023: 20-25 [doi]

Smoothing target encoding and class center-based firefly algorithm for handling missing values in categorical variableHeru Nugroho, Nugraha Priya Utama, Kridanto Surendro. jbd, 10(1):10, December 2023. [doi]

Multi-Attribute BERT for Preferences Completion in Multi-Criteria Recommender SystemRita Rismala, Nur Ulfa Maulidevi, Kridanto Surendro. icsca 2023: 315-320 [doi]

Towards Sustainable Higher Education: A Framework for Implementing Green IT StrategiesPatrick Segara, Erna Hikmawati, Kridanto Surendro. iceei 2023: 1-6 [doi]

The Use of Dynamic n-Gram to Enhance TF-IDF Features Extraction for Bahasa Indonesia Cyberbullying ClassificationYudi Setiawan, Nur Ulfa Maulidevi, Kridanto Surendro. icsca 2023: 200-205 [doi]

Aesthetic Image Synthesis Using Multiple-Aesthetic-Aware GANYaya Setiyadi, Judhi Santoso, Kridanto Surendro. icsca 2023: 159-164 [doi]

System Dynamics Modeling to Simulate Policy Making for 5G Deployment in IndonesiaMuhammad Shalahuddin, Wikan Danar Sunindyo, Mohammad Ridwan Effendi, Kridanto Surendro. iceei 2023: 1-5 [doi]

Improving the Efficiency of Link Prediction on Handling Incomplete Knowledge Graph Using ClusteringFitri Susanti, Nur Ulfa Maulidevi, Kridanto Surendro. icsca 2023: 8-13 [doi]

Feature Selection method based on Genetic Algorithm with Wrapper-Embedded Technique for Medical Record ClassificationYuda Syahidin, Nur Ulfa Maulidevi, Kridanto Surendro. icsca 2023: 184-191 [doi]

Learning bilingual word embedding for automatic text summarization in low resource languageRini Wijayanti, Masayu Leylia Khodra, Kridanto Surendro, Dwi H. Widyantoro. jksucis, 35(4):224-235, 2023. [doi]

Comparison of Distance Metrics for Generating Cluster-based Ensemble LearningLenny Putri Yulianti, Agung Trisetyarso, Judhi Santoso, Kridanto Surendro. icsca 2023: 26-33 [doi]

A hybrid quantum annealing method for generating ensemble classifiersLenny Putri Yulianti, Agung Trisetyarso, Judhi Santoso, Kridanto Surendro. jksucis, 35(10):101831, December 2023. [doi]

2022

2021

Multi-criteria recommender system model for lockdown decision of Covid-19Erna Hikmawati, Nur Ulfa Maulidevi, Kridanto Surendro. icsca 2021: 39-44 [doi]

Minimum threshold determination method based on dataset characteristics in association rule miningErna Hikmawati, Nur Ulfa Maulidevi, Kridanto Surendro. jbd, 8(1):146, 2021. [doi]

Camera-Based Vegetation Index from Unmanned Aerial VehiclesToni Kusnandar, Kridanto Surendro. siet 2021: 173-178 [doi]

Class center-based firefly algorithm for handling missing dataHeru Nugroho, Nugraha Priya Utama, Kridanto Surendro. jbd, 8(1):1-14, 2021. [doi]

Class center-based firefly algorithm for handling missing dataHeru Nugroho, Nugraha Priya Utama, Kridanto Surendro. jbd, 8(1):37, 2021. [doi]

Determining threshold value on information gain feature selection to increase speed and prediction accuracy of random forestMaria Irmina Prasetiyowati, Nur Ulfa Maulidevi, Kridanto Surendro. jbd, 8(1):84, 2021. [doi]

Determining the number of hidden layer and hidden neuron of neural network for wind speed predictionMuhammad Ibnu Choldun Rachmatullah, Judhi Santoso, Kridanto Surendro. peerj-cs, 7, 2021. [doi]

2020

How to Determine Minimum Support in Association RuleErna Hikmawati, Kridanto Surendro. icsca 2020: 6-10 [doi]

Adaptive rule: A novel framework for recommender systemErna Hikmawati, Nur Ulfa Maulidevi, Kridanto Surendro. ict-express, 6(3):214-219, 2020. [doi]

Performance Evaluation for Class Center-Based Missing Data Imputation AlgorithmHeru Nugroho, Nugraha Priya Utama, Kridanto Surendro. icsca 2020: 36-40 [doi]

Comparison Method for Handling Missing Data in Clinical StudiesHeru Nugroho, Nugraha Priya Utama, Kridanto Surendro. icsca 2020: 46-50 [doi]

The Speed and Accuracy Evaluation of Random Forest Performance by Selecting Features in the Transformation DataMaria Irmina Prasetiyowati, Nur Ulfa Maulidevi, Kridanto Surendro. ieea 2020: 125-130 [doi]

A Novel Approach in Determining Neural Networks Architecture to Classify Data With Large Number of AttributesMuhammad Ibnu Choldun Rachmatullah, Judhi Santoso, Kridanto Surendro. access, 8:204728-204743, 2020. [doi]

2019

Determining the Neural Network Topology: A ReviewCholdun R. Muh. Ibnu, Judhi Santoso, Kridanto Surendro. icsca 2019: 357-362 [doi]

Missing Data Problem in Predictive AnalyticsHeru Nugroho, Kridanto Surendro. icsca 2019: 95-100 [doi]

Determining the Number of Hidden Layers in Neural Network by Using Principal Component AnalysisMuh. Ibnu Choldun R., Judhi Santoso, Kridanto Surendro. intellisys 2020: 490-500 [doi]

2016

Variety of Approaches in Self-adaptation Requirements: A Case StudyAradea, Iping Supriana, Kridanto Surendro, Irfan Darmawan. scdm 2017: 253-262 [doi]

Integration of Self-adaptation Approach on Requirements ModelingAradea, Iping Supriana, Kridanto Surendro, Irfan Darmawan. scdm 2017: 233-243 [doi]

2011

Collaboration model of software developmentTien Fabrianti Kusumasari, Iping Supriana, Kridanto Surendro, Husni Sastramihardja. iceei 2011: 1-6 [doi]

Using organizational culture approach and COBIT framework in designing of information technology governance on non ministrial government institute (LPNK), case study: Center for scientific documentation and information - Indonesian institute of sciencesBudi Nugroho, Kridanto Surendro. iceei 2011: 1-5 [doi]

2006

Strategic Planning for E-Government Implementation of Kabupaten/KotaStevanus Wijaya, Kridanto Surendro. iiwas 2006: 351-356

2003

Building Application to Integrating Web Based E-Learning ResourcesFajar Baskoro, Kridanto Surendro, Husni Sastramihardja. iiwas 2003:

1997

Non-rigid Object Recognition Using Principal Component Analysis and Geometric HashingKridanto Surendro, Yuichiro Anzai. caip 1997: 50-57

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1997

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