Surya Sumpeno
Departemen Teknik Elektro, Fakultas Teknologi Elektro, Institut Teknologi Sepuluh Nopember Jl. Raya ITS, Sukolilo, Surabaya, Jawa Timur, 60111

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Journal : JAREE (Journal on Advanced Research in Electrical Engineering)

Tactical Planning in Space Game using Goal-Oriented Action Planning Restuadi Studiawan; Mochamad Hariadi; Surya Sumpeno
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 2, No 1 (2018): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v2.i1.32

Abstract

Along with improvement of modern electronic games, necessity of an intelligent agent that easily build is needed. One of electronic games that need good intelligent agent is real-time tactics. In this game type, good action planning is necessary to provide best experience to the player. On this paper, we try to find out whether if Goal-Oriented Action Planning (GOAP) is robust enough to be used at tactical game. By using GOAP, tactic dynamism still can be provided with reasonable amount of runtime.Keywords: Artificial intelligence, Games, Goal-Oriented Action Planning, Planning, Unity3D
Clustering Data National Examinations based on Social Media Using K-Means Methods Chandra Eko Wahyudi Utomo; Mochamad Hariadi; Surya Sumpeno
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 4, No 2 (2020): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v4.i2.152

Abstract

The development of social media as a source of data is now increasingly interesting to study. The social media studied in this research is Twitter. Twitter as one of the top-ranked social media among social media accessed by the people of Indonesia. People's behavior can be learned by collecting and processing data, one of which is people's sentiments or opinions about national examinations in Indonesia. Twitter user behavior in the form of their comments about the national exam in Indonesia. This study aims to analyze the public sentiments of social media users about the National Examination in Indonesia. Data is retrieved by crawling data via the Twitter API. The data needs to be preprocessed first and feature extracted using TF-IDF. However, because the text data on Twitter is unstructured and very diverse data (variety), the grouping stage must be done first. Grouping technique using K-Means Clustering on Spark. Spark clustering techniques are used to overcome the grouping of data on very large and complex amounts of data. From the clustering process using Spark it was found that the grouping process resulted in 3 clusters where elbow detection was found in the third cluster of the number of clusters between 2 and 50. The results of clustering in the form of 3 large groups were further processed (with classification techniques) to get a positive or negative sentiment comparison of social media user comments about the national exam. Furthermore, these results become recommendations and new knowledge about community behavior regarding Social Media-based National Exams.Keywords: clustering, K-Means, national exam, sentiment analysis, social media.
ANALYSIS OF MATURITY LEVELS OF ICT UTILIZATION ON EAST JAVA’S MICRO, SMALL, MEDIUM ENTERPRISES (MSMEs) IN THE NEW HABITS ADAPTATION ERA Amalia, Siska; Affandi, Achmad; Sumpeno, Surya
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 6, No 1 (2022): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v6i1.267

Abstract

The use of information and communication technology has increased along with the Covid-19 pandemic in early 2020 which made the whole world turn into digitalization. This study focuses on analyzing the maturity level of ICT utilization on East Java’s MSMEs using the Business Model Canvas (BMC) approach and the Capability Maturity Model ISAC FOUNDATION (2007) and evaluating gaps. The results of the analysis shows the maturity average of ICT utilization in East Java’s MSMEs is 0.86, which is at Level 1 (Initial), the gap average is 2,13 and the gap maturity value in ICT utilization in East Java’s MSMEs is Large, that is 1,5.Keywords—ICT, Maturity Level, MSMEs