Article Per Year (5 Year)
p-Index From 2020 - 2025
2.125
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan Indonesian Journal of History Education JIPF (Jurnal Ilmu Pendidikan Fisika) Jurnal Pendidikan Matematika (Kudus) Jurnal Tarbiyah : Jurnal Ilmiah Kependidikan Edu Sportivo: Indonesian Journal of Physical Education INSECTA: Integrative Science Education and Teaching Activity Journal Journal of Information Systems and Technology Research Analisa: Journal of Social Science and Religion Buletin Edukasi Indonesia Bigint Computing Journal
Karimi, Amir
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Other

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 14 Documents
Search

 1   2 
Development of a Web-Based AHP Decision Support System for Foster Child Character Evaluation Haryanto, Yuli; Karimi, Amir
Bigint Computing Journal Vol 3 No 2 (2025)
Publisher : Ali Institute of Reseach and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/bigint.v3i2.1083

Abstract

In an era of rapidly developing technology - especially among the millennial generation - the need for a fast yet simple and practical system has increased significantly. The Indonesian Independent Golden Generation Foundation, a social institution in Bekasi, has been facing challenges in managing data and determining the character of foster children which is being done manually and without a proper structure. This research aims to develop an application to determine the character of foster childrens using the Analytical Hierarchy Process (AHP) method. This application is designed to overcome problems of efficiency and accuracy in data management and to determine the character of foster childrens. The AHP method is used to break down complex problems into a hierarchically arranged components, using weighted comparisons for decision making. The research results show that this application can simplify the performance of the foundation administrators, speed up the process of determining the character of a foster children more objectively, and reduce subjectivity in decision making. There is criterias considered that includes honesty, independence, respect, creativity and discipline. This application is expected to be able to provide an effective solution for foundations in managing foster child data efficiently and accurately.
Religious Well-Being and Suicide Ideation in Gunungkidul: Exploring the Pulung Gantung Phenomenon among Javanese Communities Fredyarini Soedjiwo, Novena Ade; Entas, Derinta; Suroyo, Suroyo; Putra, Bima Maulana; Guidi, Elisa; Karimi, Amir
Analisa: Journal of Social Science and Religion Vol 10, No 1 (2025): Analisa Journal of Social Science and Religion
Publisher : Balai Penelitian dan Pengembangan Agama Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18784/analisa.v10i1.2963

Abstract

The phenomenon of suicide in the context of the Pulung Gantung myth has become a serious concern. However, research that specifically examines the relationship between religious well-being and suicidal ideation in the context of Javanese culture, particularly in areas with a high prevalence of suicide, such as Gunungkidul, is still minimal. The present study aims to identify the role of the Pulung Gantung myth in mediating the relationship between religious well-being and suicidal ideation. A qualitative approach with a case study design was employed to explore the unique experiences of Javanese people in Gunungkidul. Snowball sampling was used to identify key informants who met specific criteria, and semi-structured interviews were conducted to collect data on religious well-being and suicidal ideation. To ensure the accuracy and avoid any offence, all collected data underwent a meticulous verbatim analysis. The Pulung Gantung myth exerts a substantial influence on the incidence of suicidal ideation within the Javanese community of Gunungkidul. This myth has the capacity to intensify feelings of despair, thereby expediting the process of arriving at the decision to take one's own life. The development of programs that promote community participation in religious activities. The implications of this study suggest a necessity to reinterpret the meaning of the Pulung Gantung myth so that it is no longer directly associated with suicide.
Augmented Reality Based Cultural Heritage in Improving Students' Literacy Culture in History Learning at SMK Muhammadiyah I Pekanbaru Suroyo, Suroyo; Soedjiwo, Novena Ade Fredyarini; Entas, Derinta; Putra, Bima Maulana; Karimi, Amir; Soares, Antonio Constantino
Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan Vol 10, No 8: AUGUST 2025
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/jptpp.v10i8.24855

Abstract

History learning in vocational high schools (SMK) is often faced with challenges in increasing students' interest and understanding of culture and history. The application of Cultural Heritage-based Augmented Reality (AR) technology as an innovative solution in improving students' literacy culture in history learning at SMK Muhammadiyah I Pekanbaru. This study aims to evaluate the impact of using Cultural Heritage-based AR on historical understanding, cultural appreciation, and student interest at SMK Muhammadiyah I Pekanbaru. Experimental research method was used with one experimental group engaged in learning using Cultural Heritage-based AR and one control group following conventional learning. Data were collected through knowledge test, questionnaire, and observation. The results showed that the use of Cultural Heritage-based AR significantly improved students' historical understanding, cultural appreciation, and interest in SMK Muhammadiyah I Pekanbaru. Students who use AR technology find the learning experience more engaging and interacting, which results in a deeper understanding of culture and history. This research makes a significant contribution in the context of history education at SMK Muhammadiyah I Pekanbaru, that Cultural Heritage-based AR can be an effective tool to improve students' literacy culture. In addition, the application of this technology can also help preserve and promote local cultural and historical heritage
Deep Learning-Based Sentiment and Emotion Analysis of Social Media Data to Identify Factors Affecting Healthy Food Choices in Urban Communities Rasyid, Rachmat; Rafli R, Muh; Faisal, Faisal; Suherwin, Suherwin; Asia, Siti Nur; Karimi, Amir
Journal of Information Systems and Technology Research Vol. 4 No. 3 (2025): September 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i3.1288

Abstract

The increasing influence of social media on public perception has made it a powerful driver of dietary behavior in urban communities. Nevertheless, the abundance of unverified health information often obscures individuals’ ability to make informed food choices. This study proposes a deep learning-based framework to analyze sentiment and emotion from social media discourse in order to uncover the key factors affecting healthy food decisions in urban settings. By applying Natural Language Processing (NLP) techniques and advanced deep learning models to a large corpus of user-generated content, the research identifies significant patterns linking emotional expression with food-related decision-making. The results indicate that positive emotions, such as pride and satisfaction, are strongly associated with healthy food promotion, while negative emotions, including frustration, are predominantly tied to affordability, accessibility, and convenience issues. Among these, price and food quality emerge as the most critical determinants shaping consumer preferences. These findings underscore the importance of integrating emotional and socio-economic considerations into public health strategies. Beyond offering empirical insights, this study demonstrates the scalability and effectiveness of deep learning in extracting nuanced perspectives from unstructured social media data, thereby contributing a robust methodological approach for real-time public health monitoring and intervention design.  
Co-Authors Abdullah, Khairul Hafezad Adi Rahmat Ahmad Yusuf Antonio Constantino Soares Arcelus-Ulibarrena, Juana Maria Arif Purnomo Asia, Siti Nur Bjelica, Bojan Entas, Derinta Fadhila, Qonita Faisal Faisal Febri Prasetya Fortuna, Aprilla Fredyarini Soedjiwo, Novena Ade Fredyarini Soedjiwo, Novena Ade Ganda Febri Kurniawan Gandomani, Taghi Javdani García, Juan Luis Cabanillas Guidi, Elisa Hutagalung, Jennie Febrina Mardianti, Fani Mrs Yanti Hamdiyati Muslim Muslim Nagoor Meera Abdullah Nanang Winarno Parlindungan Sinaga Perdima, Feby Elra Putra, Bima Maulana Quintero, Armando Monterrosa Rafli R, Muh Rahma, Aulia Eka Rasyid, Rachmat Romadi Romadi Salman, Amna Sari, Winda Purnama Sihombing, Rizky Agassy Sitanggang, Winanta Skrypchenko, Iryna Suherwin, Suherwin Suroyo Suroyo Veithzal Rivai Zainal Wahidin, Naufal Rabah Wandi, Wandi Winny Liliawati Yassin, Abdulnassir Yuli Haryanto, Yuli