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All Journal Jurnal Ekonomi & Studi Pembangunan International Journal of New Media Technology
Haidir, Andi Ahmad
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

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The Potential of “GENIUS”: Deep Learning Integrated Application to Fight Obesity Rahadi, Putu Nindya Krisnadewi; Raharja, Ananda Eka; Haidir, Andi Ahmad
IJNMT (International Journal of New Media Technology) Vol 11 No 1 (2024): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v11i1.3471

Abstract

Lifestyle changes regarding food consumption and sedentary lifestyle has led to increase prevalence of obesity worldwide, including in Indonesia. Obesity as a risk factor for various diseases has become an urgent issue considering that currently available therapies have not shown optimal results in overcoming this problem. The "GENIUS" application is present as a body types analysis system and program recommendations for obesity therapy. The purpose of writing this paper is to find out the potential, construction mechanism, and operating mechanism of the application. The methodology of writing this paper is literature review, based on secondary data from databases such as Google Scholar, PubMed, and ScienceDirect. The construction mechanism of the application includes process of collecting dataset, creating the application and deep learning system, and launching the application. The technology utilized in the application involves image processing deep learning and recurrent neural networks, enabling it to generate outputs suit to each individual's needs and provide appropriate program recommendations. Through the "GENIUS" application, users can also consult with medical professionals, receive recommendations, and record clinical data progress in a single digital application accessible via smartphones. The application also provides an interesting sub-feature in the form of reward points given to users for using the application's features. The implementation of the application involves the quadruple helix model. The benefits of the application encompass the fields of health and knowledge, aiming to prevent obesity in order to foster an intelligent generation and achieve a healthy Indonesia.
Indonesia social progress: the role of access to basic education in escaping from poverty trap Haidir, Andi Ahmad; Setyari, Ni Putu Wiwin
Jurnal Ekonomi & Studi Pembangunan Vol 24, No 2: October 2023
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jesp.v24i2.19810

Abstract

As Indonesia enters the post-pandemic world, it faces high uncertainty, especially in terms of access to basic education. According to the Central Bureau of Statistics (BPS), the education sector grew by 0.42%, the second-lowest of all sectors. However, its contribution to economic growth was the highest at 3.02%, surpassing six other sectors with higher growth. Despite this potential, access to education remains low. This research aimed to examine the role of access to basic education in alleviating poverty in Indonesia with the social progress perspective. The analytical framework for this research was based on the approach of Amartya Sen, who view poverty as capability deprivation. This research used educational data from BPS in 2022 from 34 provinces in Indonesia. The data were used to construct a social progress index, which measures access to basic education. The index was developed using nine indicators, namely primary school enrolment, secondary school attainment, population with no schooling, gender parity in secondary attainment, teacher-student ratio, teacher qualification, school proportion, classroom condition, and availability of water and sanitation. The index of access to basic education was then regressed along with other variables that are relevant to capability deprivation, as proposed by Hick. These variables include the Happiness Index, Democracy Index, Level of Health Inequality, and Crime Rate. The results indicated that all these variables had a significant impact on the poverty level. Among all the variables, access to basic education demonstrated the greatest influence compared to the other four variables. This suggests that access to basic education plays a critical role in poverty reduction. The research findings highlight the potential of using the Social Progress Index as a comprehensive metric for development, which offers a more inclusive understanding of progress. This index encompasses a broad framework comprising 60 indicators, and does not rely solely on GDP measurements.
The Potential of "GENIUS”: Deep Learning Integrated Application to Fight Obesity Rahadi, Putu Nindya Krisnadewi; Raharja, Ananda Eka; Haidir, Andi Ahmad
IJNMT (International Journal of New Media Technology) Vol 11 No 1 (2024): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v11i1.3471

Abstract

Lifestyle changes regarding food consumption and sedentary lifestyle has led to increase prevalence of obesity worldwide, including in Indonesia. Obesity as a risk factor for various diseases has become an urgent issue considering that currently available therapies have not shown optimal results in overcoming this problem. The "GENIUS" application is present as a body types analysis system and program recommendations for obesity therapy. The purpose of writing this paper is to find out the potential, construction mechanism, and operating mechanism of the application. The methodology of writing this paper is literature review, based on secondary data from databases such as Google Scholar, PubMed, and ScienceDirect. The construction mechanism of the application includes process of collecting dataset, creating the application and deep learning system, and launching the application. The technology utilized in the application involves image processing deep learning and recurrent neural networks, enabling it to generate outputs suit to each individual's needs and provide appropriate program recommendations. Through the "GENIUS" application, users can also consult with medical professionals, receive recommendations, and record clinical data progress in a single digital application accessible via smartphones. The application also provides an interesting sub-feature in the form of reward points given to users for using the application's features. The implementation of the application involves the quadruple helix model. The benefits of the application encompass the fields of health and knowledge, aiming to prevent obesity in order to foster an intelligent generation and achieve a healthy Indonesia.
Co-Authors Ni Putu Wiwin Setyari Rahadi, Putu Nindya Krisnadewi Raharja, Ananda Eka