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Items where Author is "Budhi, Gregorius Satia"

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Number of items: 25.

UNSPECIFIED

Tanoto, Yusak and Budhi, Gregorius Satia and WIDJAYA, JIMLEE CHRISTANTO (2024) Time Series Forecasting for Daily to Monthly Temporal Hourly-based Solar PV Output Power. [UNSPECIFIED]

Tanoto, Yusak and Budhi, Gregorius Satia and MINGARDI, SEAN FREDERICK (2024) Clustering-based assessment of solar irradiation and temperature attributes for PV power generation site selection: A case of Indonesia�s Java-Bali region. [UNSPECIFIED]

Tanoto, Yusak and Budhi, Gregorius Satia (2023) Framework and Clustering Dashboard for Analysing Temporal-Based Parameters of Solar PV Output Model. [UNSPECIFIED]

Budhi, Gregorius Satia and Chiong, Raymond (2022) A Multi-type Classifier Ensemble for Detecting Fake Reviews Through Textualbased Feature Extraction. [UNSPECIFIED]

He, Lijun and Chiong, Raymond and Li, Wenfeng and Budhi, Gregorius Satia and Zhang, Yu (2022) A multiobjective evolutionary algorithm for achieving energy efficiency in production environments integrated with multiple automated guided vehicles. [UNSPECIFIED]

Chiong, Raymond and Budhi, Gregorius Satia and Dhakal, Sandeep (2021) Combining Sentiment Lexicons and Content-Based Features for Depression Detection. [UNSPECIFIED]

Chiong, Raymond and Budhi, Gregorius Satia and Dhakal, Sandeep and Chiong, Fabian (2021) A textual-based featuring approach for depression detection using machine learning classifiers and social media texts. [UNSPECIFIED]

Budhi, Gregorius Satia and Chiong, Raymond and Wang, Zuli and Dhakal, Sandeep (2021) Using a hybrid content-based and behaviour-based featuring approach in a parallel environment to detect fake reviews. [UNSPECIFIED]

Budhi, Gregorius Satia and Chiong, Raymond and Wang, Zuli (2021) Resampling imbalanced data to detect fake reviews using machine learning classifiers and textual-based features. [UNSPECIFIED]

Budhi, Gregorius Satia and Chiong, Raymond and Pranata, Ilung and Hu, Zhongyi (2021) Using Machine Learning to Predict the Sentiment of Online Reviews: A New Framework for Comparative Analysis. [UNSPECIFIED]

Budhi, Gregorius Satia and Chiong, Raymond and Dhakal, Sandeep (2020) Multi-level particle swarm optimisation and its parallel version for parameter optimisation of ensemble models: a case of sentiment polarity prediction. [UNSPECIFIED]

Liliana, and Budhi, Gregorius Satia and Adipranata, Rudy (2018) Segmentation of Hanacaraka Characters using Double Projection Profile and Hough Transform. [UNSPECIFIED]

Article

Adipranata, Rudy and Budhi, Gregorius Satia and Liliana, (2016) Comparison between Shape-Based and Area-Based Features Extraction for Java Character Recognition. ITMSOC Transactions on Information Technology Management, 1 (1). pp. 19-25. ISSN 2539-5912

Adipranata, Rudy and Budhi, Gregorius Satia (2014) Java Characters Recognition using Evolutionary Neural Network and Combination of Chi2 and Backpropagation Neural Network. International Journal of Applied Engineering Research, 9 (22). pp. 15395-15406. ISSN 0973-4562

Adipranata, Rudy and Budhi, Gregorius Satia and Thedjakusuma, Rudy (2012) Java Characters Word Processing. 3rd International Conferences on Soft Computing, Intelligent System and Information Technology 2012.

Yuliana, Oviliani Yenty and Rostianingsih, Silvia and Budhi, Gregorius Satia (2009) Discovering Sequential Disease Patterns in Medical Databases Using FreeSpan Mining Approach. International Conference on Advance Computer Science and Information System 2009.

Budhi, Gregorius Satia and Setiawan, Alexander and Octaviano, Henry (2009) Prototipe Sistem Pakar Untuk Mendeteksi Penyakit Umum Menggunakan Gabungan Metode Fuzzy Dan Non-Fuzzy. Seminar Nasional Sistem & Teknologi Informasi 2009.

Conference or Workshop Item

Tanoto, Yusak and Budhi, Gregorius Satia and WIDJAYA, JIMLEE CHRISTANTO (2023) Time Series Forecasting for Daily to Monthly Temporal Hourly-based Solar PV Output Power. In: 2023 6th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI, 12-12-2023 - 12-12-2023, Batam - Indonesia.

Tanoto, Yusak and Budhi, Gregorius Satia (2023) Framework and Clustering Dashboard for Analysing Temporal-Based Parameters of Solar PV Output Model. In: 2023 11th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE), 15-10-2023 - 15-10-2023, Kuala Lumpur - Malaysia.

Sutter, Ben and Chiong, Raymond and Budhi, Gregorius Satia and Dhakal, Sandeep (2021) Predicting Psychological Distress from Ecological Factors: A Machine Learning Approach. In: IEA/AIE 2021, 29-07-2021 - 29-07-2021, Kuala Lumpur - Malaysia.

Budhi, Gregorius Satia and Liliana, and INDRAYANA, HANS CHRISTIAN and Yulia, (2019) Recognition of Hanacaraka Characters in Old Manuscripts Using Feed-Forward Networks and Elman Recurrent Networks. In: ICW Telkomnika 2019, 21-11-2019 - 21-11-2019, Yogyakarta - Indonesia.

Budhi, Gregorius Satia and INDRAYANA, HANS CHRISTIAN and Liliana, and Yulia, and Adipranata, Rudy (2018) Preservation of Hanacaraka Characters in Old Manuscripts Using Machine Learning Approach. In: 5th International Conference on Communication and Computer Engineering, 19-07-2018 - 19-07-2018, Malacca - Malaysia.

Budhi, Gregorius Satia and Chiong, Raymond and Pranata, Ilung and Hu, Zhongyi (2017) Predicting Rating Polarity through Automatic Classification of Review Texts. In: 2017 IEEE Conference on Big Data and Analytics (ICBDA), 17-11-2017 - 17-11-2017, Kuching - Malaysia.

Liliana, and Budhi, Gregorius Satia and Rostianingsih, Silvia and Erandaru, (2015) Implementing Historical Aspects of Majapahit Empire in A Turn Based Strategy Game. In: the second Management and Innovation technology International Conference, 16-11-2015 - 16-11-2015, bangkok - thailand.

Satiabudhi, Gregorius and Adipranata, Rudy and Liliana, and Budhi, Gregorius Satia (2015) The Use of Probabilistic Neural Network and ID3 Algorithm for Java Character Recognition. In: The 2nd Management and Innovation Technology International Conference (MITiCON2015), 16-11-2015 - 16-11-2015, Bangkok - Thailand.

This list was generated on Sat Apr 27 07:33:04 2024 WIT.