Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Shinta Widyaningtyas"'
Publikováno v:
Jurnal Social Economic of Agriculture, Vol 11, Iss 1, Pp 12-19 (2022)
Coffeeshop Boy's is one of the cafes that has survived the Large-Scale Social Restrictions (LSSR) and Enforcement of Restrictions on Community Activities (ERCA) policies during the pandemic. The power of investors and the quality of coffee are the re
Externí odkaz:
https://doaj.org/article/5911bca57ba24e74a3ef9dad1137fa18
Publikováno v:
Jurnal Teknologi Pertanian, Vol 19, Iss 3, Pp 161-172 (2018)
Metode konvensional deteksi pemalsuan kopi luwak menggunakan analisis kimia bersifat destruktif, mahal, membutuhkan preparasi sampel dan waktu lama. Perancangan alat sederhana, cepat, akurat, dan non destruktif berdasarkan sifat biolistrik berpeluang
Externí odkaz:
https://doaj.org/article/80b696f7223b47cc935fde21f5e619b7
Publikováno v:
International Journal of Technology, Vol 9, Iss 4, Pp 809-818 (2018)
Marketing plays an important role in determining an enterprise’s success. Inappropriate marketing strategy can lead to various risks, especially for SMEs that have not prepared their risk management. This research aims to identify and specify marke
Externí odkaz:
https://doaj.org/article/3e7862b2a74f472ca1547b80074c19fd
Autor:
Yusuf Hendrawan, Shinta Widyaningtyas, Muchammad Riza Fauzy, Sucipto Sucipto, Retno Damayanti, Dimas Firmanda Al Riza, Mochamad Bagus Hermanto, Sandra Sandra
Publikováno v:
Pertanika Journal of Science and Technology. 30:1-18
Luwak coffee (palm civet coffee) is known as one of the most expensive coffee in the world. In order to lower production costs, Indonesian producers and retailers often mix high-priced Luwak coffee with regular coffee green beans. However, the absenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b307308f83ddfd90b1255568383194e
https://doi.org/10.47836/pjst.30.1.01
https://doi.org/10.47836/pjst.30.1.01
Publikováno v:
TELKOMNIKA (Telecommunication Computing Electronics and Control). 17:3073
Computer vision as a non-invasive bio-sensing method provided opportunity to detect purity, total phenol, and pH in Luwak coffee green bean. This study aimed to obtain the best Artificial Neural Network (ANN) model to detect the percentage of purity,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::013ed7f33d4879ad83756b0c66bf969f
https://doi.org/10.12928/telkomnika.v17i6.12689
https://doi.org/10.12928/telkomnika.v17i6.12689
Publikováno v:
International Journal of Technology. 9:809
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b79f9453eda2658f8879abb873ebf2c
https://doi.org/10.14716/ijtech.v9i4.2197
https://doi.org/10.14716/ijtech.v9i4.2197