Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Qonitatul Hasanah"'
Publikováno v:
Matrix: Jurnal Manajemen Teknologi dan Informatika, Vol 13, Iss 3, Pp 130-141 (2023)
Micro, Small, and Medium Enterprises (MSMEs) are critical drivers of economic growth, especially in developing nations like Indonesia. This study focuses on the specific case of Kediri Residency, using 2018 data from the Central Bureau of Statistics
Externí odkaz:
https://doaj.org/article/e9f4d02488f44507b465e183f5c2da38
Publikováno v:
JIKO (Jurnal Informatika dan Komputer). 7:1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf0da80cd4205328909a79a98828c476
https://doi.org/10.26798/jiko.v7i1.626
https://doi.org/10.26798/jiko.v7i1.626
Autor:
Rosa Andrie Asmara, Faisal Rahutomo, Erfan Rohadi, Qonitatul Hasanah, Ferdian Ronilaya, Anik Nur Handayani, Indrazno Siradjuddin
Publikováno v:
2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR).
This research proposed the identification of chicken freshness level based on its color and texture features. Color Features used are the RGB (Red, Green, and Blue) and HSV (Hue, Saturation, Value) channel histogram value. texture features used are G
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63dfd7c54aeda9b24962b4a55c47a40f
https://doi.org/10.1109/iciev.2018.8640992
https://doi.org/10.1109/iciev.2018.8640992
Publikováno v:
2017 International Conference on Sustainable Information Engineering and Technology (SIET).
Identifying the chicken meat freshness level is necessary since it involves the quality of the meat consumed. This research aims at identifying the freshness level of chicken meat based on the histogram color feature. The histogram color feature used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64ca06143effcefa02bf32cc39f4625e
https://doi.org/10.1109/siet.2017.8304109
https://doi.org/10.1109/siet.2017.8304109
Autor:
Indrazno Siradjuddin, Ferdian Ronilaya, Rosa Andrie Asmara, Cahya Rahmad, Anik Nur Handayani, Qonitatul Hasanah, Erfan Rohadi, Irtafa Masruri
Publikováno v:
MATEC Web of Conferences, Vol 197, p 15006 (2018)
Identifying gender from the pedestrian video is one crucial key to study demographics in such areas. With current video surveillance technology, identifying gender from a distance is possible. This research proposed the utilization of computer vision
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce237a4603ae96416dff7692a0e7cf8e
https://doi.org/10.1051/matecconf/201819715006
https://doi.org/10.1051/matecconf/201819715006