<> <http://www.w3.org/2000/01/rdf-schema#comment> "The repository administrator has not yet configured an RDF license."^^<http://www.w3.org/2001/XMLSchema#string> .
<> <http://xmlns.com/foaf/0.1/primaryTopic> <http://digilib.uin-suka.ac.id/id/eprint/69944> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://purl.org/ontology/bibo/Thesis> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://purl.org/ontology/bibo/Article> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://purl.org/dc/terms/title> "OPTIMISASI ANALISIS REGRESI LASSO DENGAN ALGORITMA LARS MENGGUNAKAN BAYESIAN INFORMATION CRITERION (BIC) STUDI KASUS: PENDUGAAN DATA INDEKS KETAHANAN PANGAN TAHUN 2021"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://purl.org/ontology/bibo/abstract> "Correlation between predictor variables in regression analysis can be a problem\r\nor violation of linear regression assumptions that called multicollinearity. Multicollinearity\r\ncauses the variance to become large, so that the estimation of regression\r\nparameters becomes inefficient. Multicollinearity can be detection by considering\r\nthe variance inflation factor (VIF) value and its correlation coefficient. This\r\nproblem can be overcome by using Least Absolute Shrinkage and Selection Operator\r\n(LASSO) Regression. LASSO will shrink the regression coefficient close to\r\nzero or exactly zero, the calculation of which is done with the help of the Least Absolute\r\nRegression (LARS) algorithm. In the case study on the Food Security Index\r\ndata, predictor variables that have high correlation will be gradually entered into the\r\nmodel. The first variable to enter is X4 then continued by X9, X2, X1, X8, X6, X11,\r\nX7, X5, X3 up to X10. The results of the coefficient estimation at each stage will\r\nproduce several regression models. These stages produce several regression models\r\nwhich are then tested by selecting the best Bayesian Information Criterion (BIC)\r\nmodel. The minimum BIC value (0.342) indicates an optimal lambda of 0.059, so\r\nthe best model is obtained at the thirty-fifth stage. The results of the study show that\r\nseven of the eleven predictor variables have an influence on the food security index\r\nin 2021."^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://purl.org/dc/terms/date> "2025-01-24" .
<http://digilib.uin-suka.ac.id/id/document/985595> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://purl.org/ontology/bibo/Document> .
<http://digilib.uin-suka.ac.id/id/document/985596> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://purl.org/ontology/bibo/Document> .
<http://digilib.uin-suka.ac.id/id/org/ext-1ea96a2503a70ef7fcbae7670153192b> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://xmlns.com/foaf/0.1/Organization> .
<http://digilib.uin-suka.ac.id/id/org/ext-1ea96a2503a70ef7fcbae7670153192b> <http://xmlns.com/foaf/0.1/name> "UIN SUNAN KALIJAGA YOGYAKARTA"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://purl.org/dc/terms/issuer> <http://digilib.uin-suka.ac.id/id/org/ext-1ea96a2503a70ef7fcbae7670153192b> .
<http://digilib.uin-suka.ac.id/id/org/ext-008c8b62ba5ae76ed4e62cd13ae8626e> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://xmlns.com/foaf/0.1/Organization> .
<http://digilib.uin-suka.ac.id/id/org/ext-008c8b62ba5ae76ed4e62cd13ae8626e> <http://xmlns.com/foaf/0.1/name> "FAKULTAS SAINS DAN TEKNOLOGI, UIN SUNAN KALIJAGA YOGYAKARTA"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.uin-suka.ac.id/id/org/ext-008c8b62ba5ae76ed4e62cd13ae8626e> <http://purl.org/dc/terms/isPartOf> <http://digilib.uin-suka.ac.id/id/org/ext-1ea96a2503a70ef7fcbae7670153192b> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://purl.org/dc/terms/issuer> <http://digilib.uin-suka.ac.id/id/org/ext-008c8b62ba5ae76ed4e62cd13ae8626e> .
<http://digilib.uin-suka.ac.id/id/org/ext-1ea96a2503a70ef7fcbae7670153192b> <http://purl.org/dc/terms/hasPart> <http://digilib.uin-suka.ac.id/id/org/ext-008c8b62ba5ae76ed4e62cd13ae8626e> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://purl.org/ontology/bibo/status> <http://purl.org/ontology/bibo/status/published> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://purl.org/dc/terms/creator> <http://digilib.uin-suka.ac.id/id/person/ext-f27cb2259c5949bf9afb8119459dfd6d> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://purl.org/ontology/bibo/authorList> <http://digilib.uin-suka.ac.id/id/eprint/69944#authors> .
<http://digilib.uin-suka.ac.id/id/eprint/69944#authors> <http://www.w3.org/1999/02/22-rdf-syntax-ns#_1> <http://digilib.uin-suka.ac.id/id/person/ext-f27cb2259c5949bf9afb8119459dfd6d> .
<http://digilib.uin-suka.ac.id/id/person/ext-f27cb2259c5949bf9afb8119459dfd6d> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://xmlns.com/foaf/0.1/Person> .
<http://digilib.uin-suka.ac.id/id/person/ext-f27cb2259c5949bf9afb8119459dfd6d> <http://xmlns.com/foaf/0.1/givenName> "NIM.: 20106010042"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.uin-suka.ac.id/id/person/ext-f27cb2259c5949bf9afb8119459dfd6d> <http://xmlns.com/foaf/0.1/familyName> "Zulaeka Ritasari"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.uin-suka.ac.id/id/person/ext-f27cb2259c5949bf9afb8119459dfd6d> <http://xmlns.com/foaf/0.1/name> "NIM.: 20106010042 Zulaeka Ritasari"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://eprints.org/ontology/EPrint> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://eprints.org/ontology/ThesisEPrint> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://purl.org/dc/terms/isPartOf> <http://digilib.uin-suka.ac.id/id/repository> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://eprints.org/ontology/hasDocument> <http://digilib.uin-suka.ac.id/id/document/985595> .
<http://digilib.uin-suka.ac.id/id/document/985595> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://eprints.org/ontology/Document> .
<http://digilib.uin-suka.ac.id/id/document/985595> <http://www.w3.org/2000/01/rdf-schema#label> "OPTIMISASI ANALISIS REGRESI LASSO DENGAN ALGORITMA LARS MENGGUNAKAN BAYESIAN INFORMATION CRITERION (BIC) STUDI KASUS: PENDUGAAN DATA INDEKS KETAHANAN PANGAN TAHUN 2021 (Text)"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://purl.org/dc/elements/1.1/hasVersion> <http://digilib.uin-suka.ac.id/id/document/985595> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://eprints.org/ontology/hasPublished> <http://digilib.uin-suka.ac.id/id/document/985595> .
<http://digilib.uin-suka.ac.id/id/document/985595> <http://eprints.org/ontology/hasFile> <https://digilib.uin-suka.ac.id/id/eprint/69944/1/20106010042_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf> .
<http://digilib.uin-suka.ac.id/id/document/985595> <http://purl.org/dc/terms/hasPart> <https://digilib.uin-suka.ac.id/id/eprint/69944/1/20106010042_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf> .
<https://digilib.uin-suka.ac.id/id/eprint/69944/1/20106010042_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf> <http://www.w3.org/2000/01/rdf-schema#label> "20106010042_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://eprints.org/ontology/hasDocument> <http://digilib.uin-suka.ac.id/id/document/985596> .
<http://digilib.uin-suka.ac.id/id/document/985596> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://eprints.org/ontology/Document> .
<http://digilib.uin-suka.ac.id/id/document/985596> <http://www.w3.org/2000/01/rdf-schema#label> "OPTIMISASI ANALISIS REGRESI LASSO DENGAN ALGORITMA LARS MENGGUNAKAN BAYESIAN INFORMATION CRITERION (BIC) STUDI KASUS: PENDUGAAN DATA INDEKS KETAHANAN PANGAN TAHUN 2021 (Text)"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://purl.org/dc/elements/1.1/hasVersion> <http://digilib.uin-suka.ac.id/id/document/985596> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://eprints.org/ontology/hasPublished> <http://digilib.uin-suka.ac.id/id/document/985596> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://eprints.org/ontology/hasDocument> <http://digilib.uin-suka.ac.id/id/document/985659> .
<http://digilib.uin-suka.ac.id/id/document/985659> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://eprints.org/ontology/Document> .
<http://digilib.uin-suka.ac.id/id/document/985659> <http://www.w3.org/2000/01/rdf-schema#label> "OPTIMISASI ANALISIS REGRESI LASSO DENGAN ALGORITMA LARS MENGGUNAKAN BAYESIAN INFORMATION CRITERION (BIC) STUDI KASUS: PENDUGAAN DATA INDEKS KETAHANAN PANGAN TAHUN 2021 (Other)"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.uin-suka.ac.id/id/document/985659> <http://eprints.org/relation/isVersionOf> <http://digilib.uin-suka.ac.id/id/document/985596> .
<http://digilib.uin-suka.ac.id/id/document/985659> <http://eprints.org/relation/isVolatileVersionOf> <http://digilib.uin-suka.ac.id/id/document/985596> .
<http://digilib.uin-suka.ac.id/id/document/985659> <http://eprints.org/relation/islightboxThumbnailVersionOf> <http://digilib.uin-suka.ac.id/id/document/985596> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://eprints.org/ontology/hasDocument> <http://digilib.uin-suka.ac.id/id/document/985660> .
<http://digilib.uin-suka.ac.id/id/document/985660> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://eprints.org/ontology/Document> .
<http://digilib.uin-suka.ac.id/id/document/985660> <http://www.w3.org/2000/01/rdf-schema#label> "OPTIMISASI ANALISIS REGRESI LASSO DENGAN ALGORITMA LARS MENGGUNAKAN BAYESIAN INFORMATION CRITERION (BIC) STUDI KASUS: PENDUGAAN DATA INDEKS KETAHANAN PANGAN TAHUN 2021 (Other)"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.uin-suka.ac.id/id/document/985660> <http://eprints.org/relation/isVersionOf> <http://digilib.uin-suka.ac.id/id/document/985596> .
<http://digilib.uin-suka.ac.id/id/document/985660> <http://eprints.org/relation/isVolatileVersionOf> <http://digilib.uin-suka.ac.id/id/document/985596> .
<http://digilib.uin-suka.ac.id/id/document/985660> <http://eprints.org/relation/ispreviewThumbnailVersionOf> <http://digilib.uin-suka.ac.id/id/document/985596> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://eprints.org/ontology/hasDocument> <http://digilib.uin-suka.ac.id/id/document/985661> .
<http://digilib.uin-suka.ac.id/id/document/985661> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://eprints.org/ontology/Document> .
<http://digilib.uin-suka.ac.id/id/document/985661> <http://www.w3.org/2000/01/rdf-schema#label> "OPTIMISASI ANALISIS REGRESI LASSO DENGAN ALGORITMA LARS MENGGUNAKAN BAYESIAN INFORMATION CRITERION (BIC) STUDI KASUS: PENDUGAAN DATA INDEKS KETAHANAN PANGAN TAHUN 2021 (Other)"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.uin-suka.ac.id/id/document/985661> <http://eprints.org/relation/isVersionOf> <http://digilib.uin-suka.ac.id/id/document/985596> .
<http://digilib.uin-suka.ac.id/id/document/985661> <http://eprints.org/relation/isVolatileVersionOf> <http://digilib.uin-suka.ac.id/id/document/985596> .
<http://digilib.uin-suka.ac.id/id/document/985661> <http://eprints.org/relation/ismediumThumbnailVersionOf> <http://digilib.uin-suka.ac.id/id/document/985596> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://eprints.org/ontology/hasDocument> <http://digilib.uin-suka.ac.id/id/document/985662> .
<http://digilib.uin-suka.ac.id/id/document/985662> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://eprints.org/ontology/Document> .
<http://digilib.uin-suka.ac.id/id/document/985662> <http://www.w3.org/2000/01/rdf-schema#label> "OPTIMISASI ANALISIS REGRESI LASSO DENGAN ALGORITMA LARS MENGGUNAKAN BAYESIAN INFORMATION CRITERION (BIC) STUDI KASUS: PENDUGAAN DATA INDEKS KETAHANAN PANGAN TAHUN 2021 (Other)"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.uin-suka.ac.id/id/document/985662> <http://eprints.org/relation/isVersionOf> <http://digilib.uin-suka.ac.id/id/document/985596> .
<http://digilib.uin-suka.ac.id/id/document/985662> <http://eprints.org/relation/isVolatileVersionOf> <http://digilib.uin-suka.ac.id/id/document/985596> .
<http://digilib.uin-suka.ac.id/id/document/985662> <http://eprints.org/relation/issmallThumbnailVersionOf> <http://digilib.uin-suka.ac.id/id/document/985596> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://eprints.org/ontology/hasDocument> <http://digilib.uin-suka.ac.id/id/document/985663> .
<http://digilib.uin-suka.ac.id/id/document/985663> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://eprints.org/ontology/Document> .
<http://digilib.uin-suka.ac.id/id/document/985663> <http://www.w3.org/2000/01/rdf-schema#label> "OPTIMISASI ANALISIS REGRESI LASSO DENGAN ALGORITMA LARS MENGGUNAKAN BAYESIAN INFORMATION CRITERION (BIC) STUDI KASUS: PENDUGAAN DATA INDEKS KETAHANAN PANGAN TAHUN 2021 (Other)"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.uin-suka.ac.id/id/document/985663> <http://eprints.org/relation/isVersionOf> <http://digilib.uin-suka.ac.id/id/document/985595> .
<http://digilib.uin-suka.ac.id/id/document/985663> <http://eprints.org/relation/isVolatileVersionOf> <http://digilib.uin-suka.ac.id/id/document/985595> .
<http://digilib.uin-suka.ac.id/id/document/985663> <http://eprints.org/relation/islightboxThumbnailVersionOf> <http://digilib.uin-suka.ac.id/id/document/985595> .
<http://digilib.uin-suka.ac.id/id/document/985663> <http://eprints.org/ontology/hasFile> <https://digilib.uin-suka.ac.id/id/eprint/69944/7/lightbox.jpg> .
<http://digilib.uin-suka.ac.id/id/document/985663> <http://purl.org/dc/terms/hasPart> <https://digilib.uin-suka.ac.id/id/eprint/69944/7/lightbox.jpg> .
<https://digilib.uin-suka.ac.id/id/eprint/69944/7/lightbox.jpg> <http://www.w3.org/2000/01/rdf-schema#label> "lightbox.jpg"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://eprints.org/ontology/hasDocument> <http://digilib.uin-suka.ac.id/id/document/985664> .
<http://digilib.uin-suka.ac.id/id/document/985664> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://eprints.org/ontology/Document> .
<http://digilib.uin-suka.ac.id/id/document/985664> <http://www.w3.org/2000/01/rdf-schema#label> "OPTIMISASI ANALISIS REGRESI LASSO DENGAN ALGORITMA LARS MENGGUNAKAN BAYESIAN INFORMATION CRITERION (BIC) STUDI KASUS: PENDUGAAN DATA INDEKS KETAHANAN PANGAN TAHUN 2021 (Other)"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.uin-suka.ac.id/id/document/985664> <http://eprints.org/relation/isVersionOf> <http://digilib.uin-suka.ac.id/id/document/985595> .
<http://digilib.uin-suka.ac.id/id/document/985664> <http://eprints.org/relation/isVolatileVersionOf> <http://digilib.uin-suka.ac.id/id/document/985595> .
<http://digilib.uin-suka.ac.id/id/document/985664> <http://eprints.org/relation/ispreviewThumbnailVersionOf> <http://digilib.uin-suka.ac.id/id/document/985595> .
<http://digilib.uin-suka.ac.id/id/document/985664> <http://eprints.org/ontology/hasFile> <https://digilib.uin-suka.ac.id/id/eprint/69944/8/preview.jpg> .
<http://digilib.uin-suka.ac.id/id/document/985664> <http://purl.org/dc/terms/hasPart> <https://digilib.uin-suka.ac.id/id/eprint/69944/8/preview.jpg> .
<https://digilib.uin-suka.ac.id/id/eprint/69944/8/preview.jpg> <http://www.w3.org/2000/01/rdf-schema#label> "preview.jpg"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://eprints.org/ontology/hasDocument> <http://digilib.uin-suka.ac.id/id/document/985665> .
<http://digilib.uin-suka.ac.id/id/document/985665> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://eprints.org/ontology/Document> .
<http://digilib.uin-suka.ac.id/id/document/985665> <http://www.w3.org/2000/01/rdf-schema#label> "OPTIMISASI ANALISIS REGRESI LASSO DENGAN ALGORITMA LARS MENGGUNAKAN BAYESIAN INFORMATION CRITERION (BIC) STUDI KASUS: PENDUGAAN DATA INDEKS KETAHANAN PANGAN TAHUN 2021 (Other)"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.uin-suka.ac.id/id/document/985665> <http://eprints.org/relation/isVersionOf> <http://digilib.uin-suka.ac.id/id/document/985595> .
<http://digilib.uin-suka.ac.id/id/document/985665> <http://eprints.org/relation/isVolatileVersionOf> <http://digilib.uin-suka.ac.id/id/document/985595> .
<http://digilib.uin-suka.ac.id/id/document/985665> <http://eprints.org/relation/ismediumThumbnailVersionOf> <http://digilib.uin-suka.ac.id/id/document/985595> .
<http://digilib.uin-suka.ac.id/id/document/985665> <http://eprints.org/ontology/hasFile> <https://digilib.uin-suka.ac.id/id/eprint/69944/9/medium.jpg> .
<http://digilib.uin-suka.ac.id/id/document/985665> <http://purl.org/dc/terms/hasPart> <https://digilib.uin-suka.ac.id/id/eprint/69944/9/medium.jpg> .
<https://digilib.uin-suka.ac.id/id/eprint/69944/9/medium.jpg> <http://www.w3.org/2000/01/rdf-schema#label> "medium.jpg"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://eprints.org/ontology/hasDocument> <http://digilib.uin-suka.ac.id/id/document/985666> .
<http://digilib.uin-suka.ac.id/id/document/985666> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://eprints.org/ontology/Document> .
<http://digilib.uin-suka.ac.id/id/document/985666> <http://www.w3.org/2000/01/rdf-schema#label> "OPTIMISASI ANALISIS REGRESI LASSO DENGAN ALGORITMA LARS MENGGUNAKAN BAYESIAN INFORMATION CRITERION (BIC) STUDI KASUS: PENDUGAAN DATA INDEKS KETAHANAN PANGAN TAHUN 2021 (Other)"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.uin-suka.ac.id/id/document/985666> <http://eprints.org/relation/isVersionOf> <http://digilib.uin-suka.ac.id/id/document/985595> .
<http://digilib.uin-suka.ac.id/id/document/985666> <http://eprints.org/relation/isVolatileVersionOf> <http://digilib.uin-suka.ac.id/id/document/985595> .
<http://digilib.uin-suka.ac.id/id/document/985666> <http://eprints.org/relation/issmallThumbnailVersionOf> <http://digilib.uin-suka.ac.id/id/document/985595> .
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<https://digilib.uin-suka.ac.id/id/eprint/69944/10/small.jpg> <http://www.w3.org/2000/01/rdf-schema#label> "small.jpg"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://www.w3.org/2000/01/rdf-schema#seeAlso> <https://digilib.uin-suka.ac.id/id/eprint/69944/> .
<https://digilib.uin-suka.ac.id/id/eprint/69944/> <http://purl.org/dc/elements/1.1/title> "HTML Summary of #69944 \n\nOPTIMISASI ANALISIS REGRESI LASSO DENGAN ALGORITMA LARS MENGGUNAKAN BAYESIAN INFORMATION CRITERION (BIC) STUDI KASUS: PENDUGAAN DATA INDEKS KETAHANAN PANGAN TAHUN 2021\n\n" .
<https://digilib.uin-suka.ac.id/id/eprint/69944/> <http://purl.org/dc/elements/1.1/format> "text/html" .
<https://digilib.uin-suka.ac.id/id/eprint/69944/> <http://xmlns.com/foaf/0.1/primaryTopic> <http://digilib.uin-suka.ac.id/id/eprint/69944> .
<http://digilib.uin-suka.ac.id/id/subject/560> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://www.w3.org/2004/02/skos/core#Concept> .
<http://digilib.uin-suka.ac.id/id/subject/560> <http://www.w3.org/2004/02/skos/core#prefLabel> "510 Mathematics (Matematika)" .
<http://digilib.uin-suka.ac.id/id/eprint/69944> <http://purl.org/dc/terms/subject> <http://digilib.uin-suka.ac.id/id/subject/560> .