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Andri Putra Kesmawan
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Perumahan Sidorejo, Jl. Sidorejo Gg. Sadewa No.D3, Sonopakis Kidul, Ngestiharjo, Kapanewon, Kasihan, Kabupaten Bantul, Daerah Istimewa Yogyakarta 55184
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INDONESIA
Indonesian Journal of Applied Technology
Published by Indonesian Journal Publisher
ISSN : -     EISSN : 30320224     DOI : https://doi.org/10.47134/ijat
Core Subject : Engineering,
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Industrial & Manufacturing Engineering Mechanical Engineering
Indonesian Journal of Applied Technology is officially registered in the National Research and Innovation Agency, Directorate of Multimedia Repository and Scientific Publishing. This journal is published four times a year (January, April, July and October) by Indonesian Journal Publisher. IJAT a scientific journal, double-blind peer-reviewed and open-access journal. IJAT is an academic journal organized which focus and scope: Information and Communication Technology (ICT), Engineering and Manufacturing Technology, Biotechnology and Bioengineering, Energy and Environmental Technology, Health Technology and Biomedical Engineering, Agricultural and Food Technology, Renewable and Clean Energy, Educational Technology.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 3 Documents
 1 
Search results for , issue "Vol. 2 No. 1 (2025): January" : 3 Documents clear
Analysis of Indonesian Public Health Factors 2023 with PCA Method and Factor Analysis Wulandari, Sri; Sari, Nadifa; Imani, Revina
Indonesian Journal of Applied Technology Vol. 2 No. 1 (2025): January
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijat.v2i1.3369

Abstract

Indonesia is a developing country with a high population, which faces great challenges in maintaining public health, especially in the era of accelerating globalization. Public health is an important issue in the face of urbanization, economic growth, and increasing demand for livelihoods. This challenge requires not only the provision of medical services but also equitable access for the entire community, including those living in remote areas or with economic limitations. Based on Susenas 2023 data, around 26% of Indonesia's population experienced health complaints in the past month, although the Graph has decreased from 29.94% in the previous year. This study aims to identify factors that affect public health in each province in Indonesia, using the main component analysis (PCA) method and factor analysis. The research data comes from the Central Statistics Agency (BPS) with six variables, namely life expectancy, exclusive breastfeeding in infants <6 months, poverty percentage, prevalence of food inadequacy, number of medical personnel, and poverty depth index. Data processing is carried out with SPSS, the results are presented in boxplots and tables for easy decision-making. The results of the study show that most of the data characteristics, namely data tend to have great diversity and the data has met the normal assumption of multivariation, dependent data, data adequacy, and correlation between significant variables. In addition, two main factors that are formed in affecting public health are socio-economic conditions and food security.
Comparison of YOLO-v8 and YOLO-v10 in Detecting Human Facial Emotions Rasyid, Guilliano; Sutopo, Joko
Indonesian Journal of Applied Technology Vol. 2 No. 1 (2025): January
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijat.v2i1.3395

Abstract

This study evaluates the performance of YOLOv8 and YOLOv10 in recognizing human facial emotions. Both state-of-the-art object detection models were trained on a diverse dataset of facial expressions. While YOLOv10 demonstrated superior performance in certain metrics, it required significantly more training time compared to YOLOv8. Both models exhibited effective learning, as evidenced by the steady decrease in training loss. However, both models encountered challenges in accurately recognizing subtle emotions, such as disgust and contempt. To enhance the accuracy and robustness of facial emotion recognition systems, future research should prioritize improving data quality, exploring advanced model architectures, and optimizing hyperparameters.
Usulan Penerapan Lean Manufacturing pada Proses Produksi Kerupuk di Pabrik Kerupuk XYZ di Kota Palembang Jugo, Carolus Jose; Alfrendo, Cornelius Yelgi; Reza Saputra, Yohanes Babtis; Situmorang, Rycardo
Indonesian Journal of Applied Technology Vol. 2 No. 1 (2025): January
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijat.v2i1.3641

Abstract

Pabrik kerupuk XYZ merupakan salah satu Pabrik yg memproduksi aneka varian kerupuk Khas oleh-oleh kota Palembang yang memproduksi Pelbagai jenis produk kerupuk yaitu yang siap santap dan produk yg siap goreng/setengah jadi. Dalam Penelitian ini kami menemukan pemborosan yang terjadi pada lantai produksi dimana sampai produk siap untuk di kemas atau di goreng. Tujuan dilakukannya penelitian ini adalah untuk mengetahui pemborosan yang ada dalam proses produksi kerupuk dan menemukan solusi terbaik sehingga terjadi efisiensi dalam proses, serta produktivitas yang meningkat  di pabrik kerupuk XYZ. Dengan menerapkan Lean Manufacturing penelitian ini meneliti tujuh jenis pemborosan yang sering terjadi dalam suatu proses industri dengan menggunakan metode Value Stream Mapping (VSM). Hasil penelitian ini menunjukkan bahwa pemborosan yang paling dominan terjadi . Didasari oleh temuan ini kami memberikan usulan perbaikan, yang menurut kami adalah opsi paling relevan untuk di terapkan. Diharapkan penelitian yang kami lakukan ini dapat bermaanfaat bagi perkembangan dan kemajuan kinerja pabrik kerupuk XYZ dan semoga penelitian kami ini menjadi referensi bagi industri lainnya, khususnya usaha kecil dan menengah untuk membawa dampak positif

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