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Service Innovation Model in Boarding School Programs for New Students at Islamic Higher Education

Bibliographic Data

ID22258446
AuthorsZuri Pamuji, Fauzi Fauzi
Year2023
Volume4
Issue2
Pages319-334
Publication date2023-07-05
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueTafkir Interdisciplinary Journal of Islamic Education (JOURNAL)
Journal identifiersISSN: 2723-4975 • E-ISSN: 2723-4975
PublisherInstitut Pesantren Kh. Abdul Chalim Pact Mojokerto (PUBLISHER)
DOI10.31538/tijie.v4i2.443
OpenAlexW4383218169
LanguageEN
References cited9

This research seeks a service innovation model at Ma'had Al-Jami'ah, a unit at an Islamic religious university in Indonesia, both during the Covid-19 pandemic and its sustainability after the pandemic subsided. This research is based on field studies using a mix-method with a sequential exploratory design. Observations, documentation, interviews, and questionnaires with a sample of 172 students are used to gather the data. As for analysis techniques: preparing data to be analyzed, exploring data, conducting post-exploration data analysis, selecting data that represents the results of the analysis, displaying the interpretation of the results, and validating the data and results. The results show that service innovation is carried out using a configuration model through the application of CLER (configuration, linkage, environment, resources) based on the use of technology to deal with existing situations and the application of five innovation characteristics. The implementation of service innovation is directed at information and registration, learning, and evaluation services. Based on the existing sample, the percentage of students participating in the Islamic boarding school program in the BTA-PPI competency test reached 78

Business · Data collection · Documentation · Engineering management · Exploratory research · Geography · Islam · Knowledge management · Medical education · Service innovation · Sociology · Computer Science · COVID-19 Prevention and Impact · Engineering · Information Retrieval and Data Mining · Medicine · Public Health and Nutrition · Marketing

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