{"id":"https://openalex.org/W4411219084","doi":"https://doi.org/10.21660/2025.130.4780","title":"ENHANCED STRATIFIED SAMPLING WITH REMOTE SENSING DATA FOR SOLID WASTE PROJECTS AND RESEARCH SURVEYS","display_name":"ENHANCED STRATIFIED SAMPLING WITH REMOTE SENSING DATA FOR SOLID WASTE PROJECTS AND RESEARCH SURVEYS","publication_year":2025,"publication_date":"2025-06-11","ids":{"openalex":"https://openalex.org/W4411219084","doi":"https://doi.org/10.21660/2025.130.4780"},"language":"en","primary_location":{"id":"doi:10.21660/2025.130.4780","doi":"https://doi.org/10.21660/2025.130.4780","is_oa":true,"landing_page_url":"https://doi.org/10.21660/2025.130.4780","pdf_url":"https://geomatejournal.com/geomate/article/download/4780/3648/9600","source":{"id":"https://openalex.org/S2764661512","display_name":"International Journal of Geomate","issn_l":"2186-2982","issn":["2186-2982","2186-2990"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of GEOMATE","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://geomatejournal.com/geomate/article/download/4780/3648/9600","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085272600","display_name":"Elprida Agustina","orcid":"https://orcid.org/0000-0002-7779-8554","observed_orcids":["https://orcid.org/0000-0002-7779-8554"]},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Elprida Agustina","raw_affiliation_strings":["Air and Waste Management Research Group , Faculty of Civil and Environmental Engineering , Institut Teknologi Bandung , Indonesia;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air and Waste Management Research Group , Faculty of Civil and Environmental Engineering , Institut Teknologi Bandung , Indonesia;","institution_ids":["https://openalex.org/I134635517"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5085272600"],"corresponding_institution_ids":["https://openalex.org/I134635517"],"apc_list":null,"apc_paid":null,"fwci":0.8714,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71699713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":"28","issue":"130","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13030","display_name":"Survey Sampling and Estimation Techniques","score":0.4672999978065491,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13030","display_name":"Survey Sampling and Estimation Techniques","score":0.4672999978065491,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11108","display_name":"Municipal Solid Waste Management","score":0.32499998807907104,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Waste Management and Disposal"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14179","display_name":"Waste Management and Recycling","score":0.09830000251531601,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Waste Management and Disposal"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/stratified-sampling","display_name":"stratified sampling","score":0.9940000176429749},{"id":"https://openalex.org/keywords/remote-sensing-data","display_name":"remote sensing data","score":0.8999999761581421},{"id":"https://openalex.org/keywords/solid-waste-generation","display_name":"solid waste generation","score":0.8889999985694885},{"id":"https://openalex.org/keywords/plastic-waste","display_name":"plastic waste","score":0.9089999794960022},{"id":"https://openalex.org/keywords/waste-generation-prediction","display_name":"waste generation forecasting","score":0.5910000205039978},{"id":"https://openalex.org/keywords/socio-economic-conditions","display_name":"socioeconomic conditions","score":0.5270000100135803},{"id":"https://openalex.org/keywords/sampling-method-comparison","display_name":"sampling method comparison","score":0.5609999895095825}],"concepts":[{"id":"https://openalex.org/C49898467","wikidata":"https://www.wikidata.org/wiki/Q1517706","display_name":"Stratified sampling","level":2,"score":0.6092894077301025},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5777891874313354},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5045753717422485},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.42007166147232056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29414570331573486},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.28338441252708435},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19009116291999817},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10765659809112549},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0944066047668457},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21660/2025.130.4780","doi":"https://doi.org/10.21660/2025.130.4780","is_oa":true,"landing_page_url":"https://doi.org/10.21660/2025.130.4780","pdf_url":"https://geomatejournal.com/geomate/article/download/4780/3648/9600","source":{"id":"https://openalex.org/S2764661512","display_name":"International Journal of Geomate","issn_l":"2186-2982","issn":["2186-2982","2186-2990"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of GEOMATE","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.21660/2025.130.4780","doi":"https://doi.org/10.21660/2025.130.4780","is_oa":true,"landing_page_url":"https://doi.org/10.21660/2025.130.4780","pdf_url":"https://geomatejournal.com/geomate/article/download/4780/3648/9600","source":{"id":"https://openalex.org/S2764661512","display_name":"International Journal of Geomate","issn_l":"2186-2982","issn":["2186-2982","2186-2990"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of GEOMATE","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.833299994468689}],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5299999713897705}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320328515","display_name":"Lembaga Pengelola Dana Pendidikan","ror":"https://ror.org/05p2xef58"},{"id":"https://openalex.org/F4320329091","display_name":"Institut Teknologi Bandung","ror":"https://ror.org/00apj8t60"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411219084.pdf","grobid_xml":"https://content.openalex.org/works/W4411219084.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2387471420","https://openalex.org/W3042964584","https://openalex.org/W2356880469","https://openalex.org/W2383809451","https://openalex.org/W4206840145","https://openalex.org/W2370014976","https://openalex.org/W2350399852","https://openalex.org/W2378407977","https://openalex.org/W3047864323","https://openalex.org/W2075598034"],"abstract_inverted_index":{"Surveys":[0],"are":[1],"commonly":[2],"conducted":[3,108,152],"for":[4,234],"projects":[5],"or":[6,64],"research":[7],"related":[8],"to":[9,16,42,60,122,146,155,201],"solid":[10],"waste":[11,70,169,172],"management.Stratified":[12],"sampling":[13,83,91,120,162,191,203],"allows":[14],"researchers":[15],"obtain":[17],"a":[18,23,129,140,165],"more":[19,124,226],"representative":[20],"sample":[21,74],"from":[22,118],"diverse":[24],"population,":[25],"thereby":[26],"enhancing":[27],"accuracy":[28],"and":[29,33,71,114,134,138,170,180,187,197,207,231],"precision,":[30],"increasing":[31],"efficiency,":[32],"facilitating":[34],"comparisons":[35],"between":[36,159],"groups.Remote":[37],"sensing":[38,47,55,96,222],"product":[39,56,223],"data":[40,57,97,116],"refers":[41],"information":[43],"acquired":[44],"through":[45,89],"remote":[46,54,95,221],"technologies,":[48],"including":[49],"socioeconomic":[50],"conditions.In":[51],"this":[52],"study,":[53],"were":[58,87,102],"utilized":[59],"develop":[61],"an":[62],"index":[63],"classification":[65],"of":[66,75,143],"areas":[67],"potentially":[68],"generating":[69],"plastic":[72,171],"waste.A":[73],"400":[76],"households":[77,86,101],"was":[78,107,151,182,192],"collected,":[79],"divided":[80],"into":[81],"two":[82,161],"approaches:":[84],"200":[85,100],"selected":[88],"stratified":[90,119,190,213],"based":[92,219],"on":[93,220],"the":[94,160],"indexing,":[98],"while":[99],"chosen":[103],"randomly.Data":[104],"distribution":[105,117],"analysis":[106],"using":[109,153,175],"descriptive":[110],"statistics,":[111],"box-plot":[112],"analysis,":[113],"histograms.The":[115],"tends":[121],"be":[123],"normal,":[125],"as":[126],"indicated":[127],"by":[128,139],"histogram":[130],"that":[131,212],"is":[132],"symmetrical":[133],"bell-shaped":[135],"(normal":[136],"distribution)":[137],"lower":[141],"number":[142],"outliers":[144],"compared":[145,200],"random":[147,202,214],"sampling.Additionally,":[148],"hypothesis":[149],"testing":[150],"t-tests":[154],"examine":[156],"significant":[157,166],"differences":[158],"methods,":[163],"revealing":[164],"difference":[167],"in":[168],"generation":[173],"data.Modeling":[174],"Linear":[176],"Regression,":[177],"Random":[178],"Forest,":[179],"XGBoost":[181],"conducted,":[183],"yielding":[184],"MSE,":[185],"RMSE,":[186],"MAE":[188],"results.The":[189],"better":[193],"(MSE:":[194,204],"0.13,":[195],"0.01,":[196],"0.00,":[198,208],"respectively)":[199],"0.23,":[205],"0.04,":[206],"respectively).The":[209],"results":[210],"show":[211],"sampling,":[215],"with":[216],"class":[217],"divisions":[218],"data,":[224,228],"yields":[225],"normalized":[227],"less":[229],"error,":[230],"greater":[232],"stability":[233],"modeling":[235],"analysis.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-09-12T09:15:50.089291","created_date":"2025-10-10T00:00:00"}
