Abstract— The number of verses in the Qur'an that is not small
will be difficult and time consuming if done manually. Building a

search system in the Qur'anic verse using the Indonesian Arabic-
Latin equivalent will be very helpful for the Muslim community in

Indonesia, especially for those who are not familiar with Arabic

writing. In this study, a verse search system will be built on the Al-
Qur'an based on phonetic similarity, more details about the

handling of the verses in the Al-Qur'an. The system was built using
the Jaro-Winkler algorithm to calculate the value of similarity and
using the N-Grams algorithm for ranking documents. The same
study has been done before with the name Lafzi +, with MAP 90%
and 93% recall. In previous studies cases such as nun wiqoyah at
the end of the verse could not be handled, so the system could not
handle the search for the entire Qur'an. So to complete the
previous research, in this study added rules other than pre-existing
rules so that they can handle nun wiqoyah at the end of the verse.
Rules are added to the phonetic coding process, for example in
Surah An-Nisa verses 37 and 38, namely ون ٣٦ ﴿راً خوُ َف

ُ
ِذي َن يَبْ َخل
َّ
the َ ﴾ ال
verse contains nun wiqoyah at the end of the verse, in the Lafzi
system + the verse produces a phonetic encoding
"fahuranilazinayabhalun", by adding the rules of nun wiqoyah in
this system result in the phonetic coding of the verse pieces
becoming "pahuranxalajinayabhalun", to match the results of the

phonetic coding stored in the database. By applying the Jaro-
Winkler method to calculate the value of similarity and N-Grams

for ranking documents and adding nun wiqoyah rules, this system
generates 94% MAP and 92% recall. The results of this study
indicate an increase in MAP, this shows that this system can
improve the accuracy of systems that have been built before.