/www/wwwroot/opac.peradaban.ac.id/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 bt.biblio_id from biblio_topic as bt left join mst_topic as mt on bt.topic_id=mt.topic_id where mt.topic 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 bt.biblio_id from biblio_topic as bt left join mst_topic as mt on bt.topic_id=mt.topic_id where mt.topic like ?)) order by b.last_update desc limit 10 offset 0" ]
Bind Value ⚒️: array:1 [ 0 => "%Lagu%" ]
From the song lyrics that are found the writer concluded the data observed. There are 238 clauses which can be divided into two types as follow, 230 can be indentified as indicative mood and 8 can be identified as imperative mood. So, the identification of the mood type were dominated by indicative mood.
The finding of the analysis shows that there are some characteristics of subject in active, transitive, bitransitive and intransitive sentences which can be drawn. It can refers to a question formed by putting who or what in front of the verb and it can be the NP under S in phare structure tree.