/var/www/fah/app/lib/SearchEngine/DefaultEngine.php:610 "Search Engine Debug 🔎 🪲"
Engine Type ⚙️: "SLiMS\SearchEngine\DefaultEngine"
SQL ⚙️: array:2 [ "count" => "select count(distinct b.biblio_id) from biblio as b left join mst_publisher as mp on b.publisher_id=mp.publisher_id left join mst_place as mpl on b.publish_place_id=mpl.place_id where b.opac_hide=0 and (b.biblio_id in(select ba.biblio_id from biblio_author as ba left join mst_author as ma on ba.author_id=ma.author_id where ma.author_name like ?))" "query" => "select b.biblio_id, b.title, b.image, b.isbn_issn, b.publish_year, mp.publisher_name as `publisher`, mpl.place_name as `publish_place`, b.labels, b.input_date, b.edition, b.collation, b.series_title, b.call_number from biblio as b left join mst_publisher as mp on b.publisher_id=mp.publisher_id left join mst_place as mpl on b.publish_place_id=mpl.place_id where b.opac_hide=0 and (b.biblio_id in(select ba.biblio_id from biblio_author as ba left join mst_author as ma on ba.author_id=ma.author_id where ma.author_name like ?)) order by b.last_update desc limit 10 offset 0" ]
Bind Value ⚒️: array:1 [ 0 => "%: Muh. Anugrah%" ]
This study aims to analyze the speech acts used in product review videos on the YouTube channel ShortCircuit and to describe how these speech acts function as persuasive strategies in the reviews. The data of this study were taken from two videos, resulting in a total of 62 utterances identified as a data. The utterances were categorized and analyzed based on Searle’s classification of s…