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STUDY ON LAND SURFACE TEMPERATURE CHARACTERISTICS OF HOT MUD ERUPTION IN EAST JAVA, INDONESIA Luhur Bayuaji; Hiroshi Watanabe; Hideyuki Tonooka; Josaphat Tetuko Sri Sumantyo; Hiroaki Kuze
International Journal of Remote Sensing and Earth Sciences Vol. 6 (2009)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2009.v6.a1235

hot mud has erupted in sidoarjo, east Java, Indonesia since 29 May 2006. It started as natural gas exploration project and punctured a geological structure at a depth of 2,8 km, releasing unprecedented volume of hot mud volcano (5x104 mcubix per day). By November 2006, it was estimated that hot mud had spread over (2,89 plus minus 0,10) x 106 m, swamping several villages with more than 10.000 people evacuated. In this research, by employing the advantage of spatial perspective of remote sensing imagery, the extent of hot mud spreading area and temperature distributions are derived from satellite images of the advanced Spaceborn Thermal Emission and Reflection Radiometer (ASTER) sensor onboard the Terra satellite. The mud spreading are was calculated using three visible or near infrared channels having a resolution of 15 m. Temperature distributions were calculated using the temperature or emissivity separation (TES) method on five thermal infraredchannels with a resolution of 90 m. The standard and water vapor scaling (WVS) methods were applied in the atmospheric correction process prior to the TES process. The result showed that the mud continued spreading during five months after the eruption. After 3-5 months from the eruption, the estimated temperature was about 30-69 degree of celcius in the mud spreading area. Also, estimations of the volume and weight of the hot mud were made on the basis of the visible of level 3 A product of ASTER and ground survey data. Keyword ASTER TIR, ASTER VNIR, Hot mud volcano, Temperature emissivity separation, Water vapor scaling method.

Integrating Realistic Mathematics Education (RME) in E-Comic Media: A Novel Approach to Foster Mathematical Creativity Siswanto, Rizki Dwi; Kusumah, Yaya S; Dasari, Dadan; Juandi, Dadang; Hendriyanto, Agus; Bayuaji, Luhur
Journal of Educational Technology and Learning Creativity Vol. 3 No. 2 (2025): December
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jetlc.v3i2.2492

Purpose of the study: This study aims to examine the effectiveness of integrating Realistic Mathematics Education (RME) into e-comic media for junior high school students in Jakarta in order to foster mathematical creativity and improve students’ ability to connect mathematical concepts with real-life situations. Methodology: This study employed a Research and Development (R&D) design using the ADDIE instructional model to develop RME-based e-comic media. The product was implemented with junior high school students in Jakarta, and data on mathematical creativity and learning responses were collected using creativity tests, questionnaires, classroom observations, and analyzed using descriptive and inferential statistics. Main Findings: The results indicate that RME-based e-comic media significantly improved students’ mathematical creativity across all indicators, including fluency, flexibility, originality, elaboration, and insight. Students showed higher learning motivation, more active engagement in discussions, and an increased ability to relate mathematical concepts to daily life, while teachers reported more dynamic classroom interactions, participation, and collaboration. Novelty/Originality of this study: This study introduces an innovative integration of Realistic Mathematics Education with interactive e-comic media to foster mathematical creativity in junior high school students. It advances mathematics education by demonstrating how context-rich, visually engaging digital narratives can transform conventional instruction into student-centered, creativity-oriented learning experiences and provides a scalable model for technology-enhanced, creativity-focused mathematics instruction.

Enhancing Scientific Conceptualization and Responsibility in Deaf Learners Through Technology-Enhanced Learning: Development and Validation of a Digital Fun Thinkers Tool Agustiana, I Gusti Ayu Tri; Tika, I Nyoman; Sukmana, Adrianus I Wayan Ilia Yuda; Astawan, I Gede; Pahmi, Samsul; Bayuaji, Luhur
Journal of Educational Technology and Learning Creativity Vol. 3 No. 2 (2025): December
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jetlc.v3i2.2495

Purpose of the study: This study aims to design, develop, and validate a culturally adapted Digital Fun Thinkers learning tool to enhance scientific conceptualization and learning responsibility among deaf and hard-of-hearing elementary students in Bengkala Village, Bali, Indonesia. Methodology: This study employed the ADDIE instructional design model and a one-group pretest–posttest quasi-experimental design. The Digital Fun Thinkers tool was developed as an interactive multimedia application. Data were analyzed using Aiken’s V, paired-sample t-test, and normalized gain (N-Gain). Main Findings: Expert validation indicated high validity (media experts: V = 0.9583; material experts: V = 0.9350) and very practical use (user satisfaction = 81.39%). Students’ scientific conceptualization improved significantly (t = -37.997, p < 0.001; N-Gain = 0.7338, large effect). Learning responsibility averaged 66.28 (very high category). Novelty/Originality of this study: This study introduces a culturally grounded digital learning tool integrating Kata Kolok sign language, gamified features, and local scientific contexts for deaf learners. It advances inclusive science education by providing empirically validated, technology-enhanced resources tailored to marginalized DHH communities in rural settings.

Integrating Realistic Mathematics Education (RME) in E-Comic Media: A Novel Approach to Foster Mathematical Creativity Siswanto, Rizki Dwi; Kusumah, Yaya S; Dasari, Dadan; Juandi, Dadang; Hendriyanto, Agus; Bayuaji, Luhur
Journal of Educational Technology and Learning Creativity Vol. 3 No. 2 (2025): December
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jetlc.v3i2.2492

Purpose of the study: This study aims to examine the effectiveness of integrating Realistic Mathematics Education (RME) into e-comic media for junior high school students in Jakarta in order to foster mathematical creativity and improve students’ ability to connect mathematical concepts with real-life situations. Methodology: This study employed a Research and Development (R&D) design using the ADDIE instructional model to develop RME-based e-comic media. The product was implemented with junior high school students in Jakarta, and data on mathematical creativity and learning responses were collected using creativity tests, questionnaires, classroom observations, and analyzed using descriptive and inferential statistics. Main Findings: The results indicate that RME-based e-comic media significantly improved students’ mathematical creativity across all indicators, including fluency, flexibility, originality, elaboration, and insight. Students showed higher learning motivation, more active engagement in discussions, and an increased ability to relate mathematical concepts to daily life, while teachers reported more dynamic classroom interactions, participation, and collaboration. Novelty/Originality of this study: This study introduces an innovative integration of Realistic Mathematics Education with interactive e-comic media to foster mathematical creativity in junior high school students. It advances mathematics education by demonstrating how context-rich, visually engaging digital narratives can transform conventional instruction into student-centered, creativity-oriented learning experiences and provides a scalable model for technology-enhanced, creativity-focused mathematics instruction.

Enhancing Scientific Conceptualization and Responsibility in Deaf Learners Through Technology-Enhanced Learning: Development and Validation of a Digital Fun Thinkers Tool Agustiana, I Gusti Ayu Tri; Tika, I Nyoman; Sukmana, Adrianus I Wayan Ilia Yuda; Astawan, I Gede; Pahmi, Samsul; Bayuaji, Luhur
Journal of Educational Technology and Learning Creativity Vol. 3 No. 2 (2025): December
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jetlc.v3i2.2495

Purpose of the study: This study aims to design, develop, and validate a culturally adapted Digital Fun Thinkers learning tool to enhance scientific conceptualization and learning responsibility among deaf and hard-of-hearing elementary students in Bengkala Village, Bali, Indonesia. Methodology: This study employed the ADDIE instructional design model and a one-group pretest–posttest quasi-experimental design. The Digital Fun Thinkers tool was developed as an interactive multimedia application. Data were analyzed using Aiken’s V, paired-sample t-test, and normalized gain (N-Gain). Main Findings: Expert validation indicated high validity (media experts: V = 0.9583; material experts: V = 0.9350) and very practical use (user satisfaction = 81.39%). Students’ scientific conceptualization improved significantly (t = -37.997, p < 0.001; N-Gain = 0.7338, large effect). Learning responsibility averaged 66.28 (very high category). Novelty/Originality of this study: This study introduces a culturally grounded digital learning tool integrating Kata Kolok sign language, gamified features, and local scientific contexts for deaf learners. It advances inclusive science education by providing empirically validated, technology-enhanced resources tailored to marginalized DHH communities in rural settings.

Enhancing K-Nearest Neighbor Algorithm on Network Traffic Classification using Recursive Feature Elimination Amalia, Andika Elok; Bahari, Alwin; Bayuaji, Luhur
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 8 No. 2 (2026): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v8i2.14277

Network traffic classification is a category in network traffic monitoring analysis that has a very important function in network management analysis. By identifying the type of traffic flowing through a network, administrators can allocate bandwidth more effectively, maintain service quality, and detect abnormal activity, which makes it a fundamental part of network monitoring. One of the ways to do it is by machine learning both unsupervised and supervised. This study implemented supervised machine learning, namely K-Nearest Neighbor to network traffic dataset with two different schemas, with and without feature selection. These two schemas are compared directly so that any difference in results can be attributed to the feature selection process. It aims to clarify the impact of Recursive Feature Elimination to network traffic classification using K-Nearest Neighbor Algorithm. It classifies data with features to 17 target classes. Previous studies state that the use of feature selection in some techniques can improve its accuracy. Recursive Feature Elimination is chosen and result that the accuracy is increased from 0.66 to 0.76. Another thing that this study shows is that there is no pattern where the more data points from a class will result in better classification performance in that class. In other words, the number of samples available for a class does not guarantee that the class will be classified more accurately. This research clarifies that feature selection can improve classification performance. Selecting the most relevant features also reduces the amount of irrelevant information the algorithm must process, which makes the classification more efficient and reliable,

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