Handling overdispersion in poisson regression using negative binomial regression for poverty case in west java
Poverty is one of government's problems in West Java Province that should be suppressed even abolished considering its violates human rights to live in prosperity. In September 2019, number of Poor People reaches 3.38 million people (6.82 percent). Thus, the results of this paper expected could...
Gespeichert in:
| Veröffentlicht in: | Procedia computer science Jg. 216; S. 517 - 523 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Elsevier B.V
2023
|
| Schlagworte: | |
| ISSN: | 1877-0509, 1877-0509 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | Poverty is one of government's problems in West Java Province that should be suppressed even abolished considering its violates human rights to live in prosperity. In September 2019, number of Poor People reaches 3.38 million people (6.82 percent). Thus, the results of this paper expected could help government in overcome poverty problem in West Java Province by finding the best regression method and model to predict number of poor people and find the most influential predictor that affects the number of poor people in West Java Province. We used secondary datas in 2019 from BPS Jawa Barat with four predictor: Province Minimum Wage (UMP), Human Development Index (IPM), Open Unemployment Rate (TPT), and Number of House Hold (RumahTangga) and one respon variable: Number of Poor People in West Java. The conclusion of this paper are: overdispersion could be overcome and modelled better using Negative Binomial, and the significant variables (which means have impact for response variable) in this case are only two predictor: Human Development Index (IPM) and Number of House Hold (RumahTangga). Human Development Index (IPM) is the most impactable predictor that government should build up to decrease Number of Poor People, while Number of House Hold (RumahTangga) does not have a really big impact but if it get depress would decrease Number of Poor People in West Java. |
|---|---|
| AbstractList | Poverty is one of government's problems in West Java Province that should be suppressed even abolished considering its violates human rights to live in prosperity. In September 2019, number of Poor People reaches 3.38 million people (6.82 percent). Thus, the results of this paper expected could help government in overcome poverty problem in West Java Province by finding the best regression method and model to predict number of poor people and find the most influential predictor that affects the number of poor people in West Java Province. We used secondary datas in 2019 from BPS Jawa Barat with four predictor: Province Minimum Wage (UMP), Human Development Index (IPM), Open Unemployment Rate (TPT), and Number of House Hold (RumahTangga) and one respon variable: Number of Poor People in West Java. The conclusion of this paper are: overdispersion could be overcome and modelled better using Negative Binomial, and the significant variables (which means have impact for response variable) in this case are only two predictor: Human Development Index (IPM) and Number of House Hold (RumahTangga). Human Development Index (IPM) is the most impactable predictor that government should build up to decrease Number of Poor People, while Number of House Hold (RumahTangga) does not have a really big impact but if it get depress would decrease Number of Poor People in West Java. |
| Author | Jonathan, Stanley Suryadi, Felina Ohyver, Margaretha Jonatan, Kelvin |
| Author_xml | – sequence: 1 givenname: Felina surname: Suryadi fullname: Suryadi, Felina organization: Statistics Department, School of Computer Science, Bina Nusantara University, Jakarta 11480, Indonesia – sequence: 2 givenname: Stanley surname: Jonathan fullname: Jonathan, Stanley organization: Statistics Department, School of Computer Science, Bina Nusantara University, Jakarta 11480, Indonesia – sequence: 3 givenname: Kelvin surname: Jonatan fullname: Jonatan, Kelvin organization: Statistics Department, School of Computer Science, Bina Nusantara University, Jakarta 11480, Indonesia – sequence: 4 givenname: Margaretha surname: Ohyver fullname: Ohyver, Margaretha email: mohyver@binus.edu organization: Statistics Department, School of Computer Science, Bina Nusantara University, Jakarta 11480, Indonesia |
| BookMark | eNqFkE1qwzAQhUVJoWmaE3TjC9i1LFmyF12U0D8IdNOuhSyNg4wjGcl1ye0rJ12ELtphYB5ivsfoXaOFdRYQusV5hnPM7rps8E6FrMiLIsOxGb1AS1xxnuZlXi_O9BVah9DlsUhV1ZgvkX2RVvfG7hI3gdcmDOCDcTYxNhmcCSFKDzsP4fj6GeZVCzs5mgmSxli3N7I_X2mdj2Q0Gw-JkgFmpy8IY9LJSd6gy1b2AdY_c4U-nh7fNy_p9u35dfOwTVXBCE0JqzFriWaVgpKouta4jKLlFZUgCW14TVipOK1VSRVlrGl4w5mmssJc85asUH3yVd6F4KEVyozxZmdHL00vcC7m7EQnjtmJOTuBYzMaWfKLHbzZS3_4h7o_URC_NRnwIigDVoE2HtQotDN_8t93D46n |
| CitedBy_id | crossref_primary_10_1016_j_glt_2024_11_001 crossref_primary_10_3389_fams_2025_1638596 crossref_primary_10_7759_cureus_83009 crossref_primary_10_1080_10919392_2024_2398913 crossref_primary_10_1371_journal_pone_0303270 crossref_primary_10_3390_buildings14123965 crossref_primary_10_1080_10168737_2024_2355522 |
| Cites_doi | 10.25077/jmu.3.4.58-65.2014 10.1177/1536867X1201200412 10.1016/S0378-3758(01)00250-6 |
| ContentType | Journal Article |
| Copyright | 2022 |
| Copyright_xml | – notice: 2022 |
| DBID | 6I. AAFTH AAYXX CITATION |
| DOI | 10.1016/j.procs.2022.12.164 |
| DatabaseName | ScienceDirect Open Access Titles Elsevier:ScienceDirect:Open Access CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISSN | 1877-0509 |
| EndPage | 523 |
| ExternalDocumentID | 10_1016_j_procs_2022_12_164 S1877050922022426 |
| GroupedDBID | --K 0R~ 0SF 1B1 457 5VS 6I. 71M AACTN AAEDT AAEDW AAFTH AAIKJ AALRI AAQFI AAXUO ABMAC ACGFS ADBBV ADEZE AEXQZ AFTJW AGHFR AITUG ALMA_UNASSIGNED_HOLDINGS AMRAJ E3Z EBS EJD EP3 FDB FNPLU HZ~ IXB KQ8 M41 M~E NCXOZ O-L O9- OK1 P2P RIG ROL SES SSZ 9DU AAYWO AAYXX ABWVN ACRPL ACVFH ADCNI ADNMO ADVLN AEUPX AFPUW AIGII AKBMS AKRWK AKYEP CITATION ~HD |
| ID | FETCH-LOGICAL-c2634-36916f3d68ce53c99d15e53f784aea34b79365c749c54c466bb7b76d4a817d7f3 |
| ISSN | 1877-0509 |
| IngestDate | Sat Nov 29 06:58:02 EST 2025 Tue Nov 18 21:44:27 EST 2025 Wed May 17 00:08:19 EDT 2023 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Poisson Regression Poverty Overdispersion Negative Binomial Regression |
| Language | English |
| License | This is an open access article under the CC BY license. |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c2634-36916f3d68ce53c99d15e53f784aea34b79365c749c54c466bb7b76d4a817d7f3 |
| OpenAccessLink | https://dx.doi.org/10.1016/j.procs.2022.12.164 |
| PageCount | 7 |
| ParticipantIDs | crossref_citationtrail_10_1016_j_procs_2022_12_164 crossref_primary_10_1016_j_procs_2022_12_164 elsevier_sciencedirect_doi_10_1016_j_procs_2022_12_164 |
| PublicationCentury | 2000 |
| PublicationDate | 2023 |
| PublicationDateYYYYMMDD | 2023-01-01 |
| PublicationDate_xml | – year: 2023 text: 2023 |
| PublicationDecade | 2020 |
| PublicationTitle | Procedia computer science |
| PublicationYear | 2023 |
| Publisher | Elsevier B.V |
| Publisher_xml | – name: Elsevier B.V |
| References | (bib0007) 2018 Hilbe (bib0010) 2014 Cameron, Trivedi (bib0003) 1998 Noriszura I, Jemain AA. (2007) “Handling Overdispersion With Negative Binomial And Generalized Poisson Regression Models.” Malaysia. Hilbe (bib0008) 2011 Fathurahman (bib0014) 2009; 4 tw (bib0012) 2013; 1 Tammy, Yang, Hardin (bib0011) 2012; 12 Fadhillah F. (2011) “Aplikasi Regresi Binomial Negatif Dan Generalized Poisson Dalam Mengatasi Overdispersion Pada Regresi Poisson (Studi Kasus Data Kemiskinan Provinsi Di Indonesia Tahun 2009).” Jakarta. BPS (bib0001) 2020 Guo, Li (bib0004) 2002; 104 Cahyandari (bib0005) 2014; 14 Safitri, HG, Devianto (bib0015) 2014; 3 Badriyah (bib0009) 2019 Fatimah (bib0002) 2020 tw (10.1016/j.procs.2022.12.164_bib0012) 2013; 1 Safitri (10.1016/j.procs.2022.12.164_bib0015) 2014; 3 Fathurahman (10.1016/j.procs.2022.12.164_bib0014) 2009; 4 10.1016/j.procs.2022.12.164_bib0006 Badriyah (10.1016/j.procs.2022.12.164_bib0009) 2019 BPS (10.1016/j.procs.2022.12.164_bib0001) 2020 Fatimah (10.1016/j.procs.2022.12.164_bib0002) 2020 Tammy (10.1016/j.procs.2022.12.164_bib0011) 2012; 12 Cameron (10.1016/j.procs.2022.12.164_bib0003) 1998 Cahyandari (10.1016/j.procs.2022.12.164_bib0005) 2014; 14 (10.1016/j.procs.2022.12.164_bib0007) 2018 10.1016/j.procs.2022.12.164_bib0013 Hilbe (10.1016/j.procs.2022.12.164_bib0010) 2014 Guo (10.1016/j.procs.2022.12.164_bib0004) 2002; 104 Hilbe (10.1016/j.procs.2022.12.164_bib0008) 2011 |
| References_xml | – year: 2014 ident: bib0010 article-title: Modeling Count Data – volume: 3 start-page: 58 year: 2014 end-page: 65 ident: bib0015 article-title: Penerapan regresi poisson dan binomial negatif dalam memodelkan jumlah kasus penderita aids di indonesia berdasarkan faktor sosiodemografi publication-title: Jurnal Matematika UNAND – year: 2020 ident: bib0001 article-title: Provinsi Jawa Barat dalam Angka – volume: 14 start-page: 69 year: 2014 end-page: 76 ident: bib0005 article-title: Pengujian Overdispersi Pada Model Regresi Poisson (Studi Kasis: LAKA LANTAS Mobil Penumpang di Provinsi Jawa Barat) publication-title: Statistika – volume: 4 start-page: 37 year: 2009 end-page: 41 ident: bib0014 article-title: Pemilihan Model Regresi Terbaik Menggunakan Metode Akaike's Information Criterion Dan Schwarz Information Criterion publication-title: Jurnal Informatika Mulawarman – volume: 1 year: 2013 ident: bib0012 article-title: Analisis regresi binomial negatif untuk mengatasi overdispersion regresi poisson pada kasus demam berdarah dengue publication-title: Statistika – year: 1998 ident: bib0003 article-title: Regression Analysis Of Count Data – year: 2019 ident: bib0009 article-title: Estimasi Paramater Model Regresi Poisson Diperumum Dengan Metode Maksimum Likelihood – year: 2018 ident: bib0007 article-title: Pemodelan jumlah kematian bayi di provinsi sulawesi selatan menggunakan regresi poisson inverse gaussian – reference: Noriszura I, Jemain AA. (2007) “Handling Overdispersion With Negative Binomial And Generalized Poisson Regression Models.” Malaysia. – volume: 12 start-page: 736 year: 2012 end-page: 747 ident: bib0011 article-title: Modeling Underdispersed Count Data With Generalized Poisson Regression publication-title: The Stata Journal – year: 2011 ident: bib0008 article-title: Negative Binomial Regression – volume: 104 start-page: 391 year: 2002 end-page: 401 ident: bib0004 article-title: Poisson Regression Models With Errors-In-Variables: Implication And Treatment publication-title: Statistical Planning And Inference – reference: Fadhillah F. (2011) “Aplikasi Regresi Binomial Negatif Dan Generalized Poisson Dalam Mengatasi Overdispersion Pada Regresi Poisson (Studi Kasus Data Kemiskinan Provinsi Di Indonesia Tahun 2009).” Jakarta. – year: 2020 ident: bib0002 article-title: Berita Resmi Statistik. Kemiskinan Dan Ketimpangan Di Jawa Barat – year: 2018 ident: 10.1016/j.procs.2022.12.164_bib0007 – ident: 10.1016/j.procs.2022.12.164_bib0006 – volume: 4 start-page: 37 issue: 3 year: 2009 ident: 10.1016/j.procs.2022.12.164_bib0014 article-title: Pemilihan Model Regresi Terbaik Menggunakan Metode Akaike's Information Criterion Dan Schwarz Information Criterion publication-title: Jurnal Informatika Mulawarman – year: 2019 ident: 10.1016/j.procs.2022.12.164_bib0009 – ident: 10.1016/j.procs.2022.12.164_bib0013 – year: 2014 ident: 10.1016/j.procs.2022.12.164_bib0010 – volume: 14 start-page: 69 issue: 2 year: 2014 ident: 10.1016/j.procs.2022.12.164_bib0005 article-title: Pengujian Overdispersi Pada Model Regresi Poisson (Studi Kasis: LAKA LANTAS Mobil Penumpang di Provinsi Jawa Barat) publication-title: Statistika – year: 2011 ident: 10.1016/j.procs.2022.12.164_bib0008 – year: 2020 ident: 10.1016/j.procs.2022.12.164_bib0002 – volume: 1 issue: 2 year: 2013 ident: 10.1016/j.procs.2022.12.164_bib0012 article-title: Analisis regresi binomial negatif untuk mengatasi overdispersion regresi poisson pada kasus demam berdarah dengue publication-title: Statistika – year: 2020 ident: 10.1016/j.procs.2022.12.164_bib0001 – volume: 3 start-page: 58 issue: 4 year: 2014 ident: 10.1016/j.procs.2022.12.164_bib0015 article-title: Penerapan regresi poisson dan binomial negatif dalam memodelkan jumlah kasus penderita aids di indonesia berdasarkan faktor sosiodemografi publication-title: Jurnal Matematika UNAND doi: 10.25077/jmu.3.4.58-65.2014 – volume: 12 start-page: 736 issue: 4 year: 2012 ident: 10.1016/j.procs.2022.12.164_bib0011 article-title: Modeling Underdispersed Count Data With Generalized Poisson Regression publication-title: The Stata Journal doi: 10.1177/1536867X1201200412 – volume: 104 start-page: 391 issue: 2 year: 2002 ident: 10.1016/j.procs.2022.12.164_bib0004 article-title: Poisson Regression Models With Errors-In-Variables: Implication And Treatment publication-title: Statistical Planning And Inference doi: 10.1016/S0378-3758(01)00250-6 – year: 1998 ident: 10.1016/j.procs.2022.12.164_bib0003 |
| SSID | ssj0000388917 |
| Score | 2.2805822 |
| Snippet | Poverty is one of government's problems in West Java Province that should be suppressed even abolished considering its violates human rights to live in... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 517 |
| SubjectTerms | Negative Binomial Regression Overdispersion Poisson Regression Poverty |
| Title | Handling overdispersion in poisson regression using negative binomial regression for poverty case in west java |
| URI | https://dx.doi.org/10.1016/j.procs.2022.12.164 |
| Volume | 216 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 1877-0509 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000388917 issn: 1877-0509 databaseCode: M~E dateStart: 20100101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELaWwoEL5SlKAfnAbYm0SRzbOaKqVSVQ4VBQb5FjJ21Wi3e1bVfthT_FH2TGj2xKqxU9IK2iKI9JNvPFM57MfEPIh7wREzPReWKYqBPWTkyiFDOAZe0cEMNc_5QfX8TRkTw5Kb-NRr9jLcxqJqyVV1fl4r-qGraBsrF09h7q7oXCBlgHpcMS1A7Lf1L8IfImuFxmuHXTIRP4eUhoXMzhMc-xgOXUp7_a8aWLFdjm1BOAwzx5_rNzZP_9IZiIuEBh4K9rMHooCQkWxlO1UkPn1hUdAN5cnjq2ihgH-7r-8rS8VsblDxxgHXxvEmIM3-edKRu_Nsddfs_nZrbqejB_PbsO2aexWe-ZGsYwfIFxGHClEAly0Hh7dMe2MEpn6XCcLXzBZzDZhZd4yxr4wMQUbZFGavYsw9Bv6mnTb3Jv_2UT-0zFmAQ3rZyQCoVUKfw4e0AeZgLmY5gv-msd2EN6ndJ1eu7_R2S7cnmFt27mbo9o4OUcPyVPwvSEfvKwekZGjX1OtmPrDxoswQtiI8roTZTRztKAMrqGEHUooxFlNKJseAigjAaUUUQZSkKUUUTZS_L9YP947zAJrTsSnfGcJTmHaUebGy51U-S6LE1awEorJFONylkNZoEXWrBSF0wzzuta1IIbpmQqjGjzV2TLzm3zmlCBrHCSwcTaFMwYKdFDzZmGsaQtuDE7JIuPr9KB1x7bq8yqDbrbIR_7kxae1mXz4TzqpQpvjvc4K4DaphPf3O86u-Qxvh4-xPeWbF0sL5t35JFeXXTny_cOZ38AP5K2_Q |
| linkProvider | ISSN International Centre |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Handling+overdispersion+in+poisson+regression+using+negative+binomial+regression+for+poverty+case+in+west+java&rft.jtitle=Procedia+computer+science&rft.au=Suryadi%2C+Felina&rft.au=Jonathan%2C+Stanley&rft.au=Jonatan%2C+Kelvin&rft.au=Ohyver%2C+Margaretha&rft.date=2023&rft.issn=1877-0509&rft.eissn=1877-0509&rft.volume=216&rft.spage=517&rft.epage=523&rft_id=info:doi/10.1016%2Fj.procs.2022.12.164&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_procs_2022_12_164 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1877-0509&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1877-0509&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1877-0509&client=summon |