{"id":"https://openalex.org/W7224948152","doi":"https://doi.org/10.62123/enigma.v4i1.233","title":"Analysis of the Role of DCIM in Energy Optimization for Data Centers in Indonesia","display_name":"Analysis of the Role of DCIM in Energy Optimization for Data Centers in Indonesia","publication_year":2026,"publication_date":"2026-10-31","ids":{"openalex":"https://openalex.org/W7224948152","doi":"https://doi.org/10.62123/enigma.v4i1.233"},"language":"en","primary_location":{"id":"doi:10.62123/enigma.v4i1.233","doi":"https://doi.org/10.62123/enigma.v4i1.233","is_oa":true,"landing_page_url":"https://doi.org/10.62123/enigma.v4i1.233","pdf_url":"https://journal.yasib.com/index.php/enigma/article/download/233/99","source":{"id":"https://openalex.org/S4390573889","display_name":"Electronic Integrated Computer Algorithm Journal","issn_l":"3031-0350","issn":["3031-0350"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Integrated Computer Algorithm Journal","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://journal.yasib.com/index.php/enigma/article/download/233/99","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047541232","display_name":"Muhammad Fuady","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Muhammad Fuady","raw_affiliation_strings":["Telkom University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telkom University","institution_ids":["https://openalex.org/I862893732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5147388932","display_name":"Teguh Kurniawan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Teguh Kurniawan","raw_affiliation_strings":["Telkom University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telkom University","institution_ids":["https://openalex.org/I862893732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081376217","display_name":"Basuki Rahmad","orcid":"https://orcid.org/0000-0003-4990-7431","observed_orcids":["https://orcid.org/0000-0003-4990-7431"]},"institutions":[{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Basuki Rahmad","raw_affiliation_strings":["Telkom University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telkom University","institution_ids":["https://openalex.org/I862893732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I862893732"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.89111687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":"1","first_page":"41","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.8974999785423279,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.8974999785423279,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14098","display_name":"Energy Efficiency in Computing","score":0.0917000025510788,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12238","display_name":"Green IT and Sustainability","score":0.008500000461935997,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/data-center-infrastructure-management","display_name":"data center infrastructure management","score":0.9200000166893005},{"id":"https://openalex.org/keywords/data-center-energy-efficiency","display_name":"data center energy efficiency","score":0.796999990940094},{"id":"https://openalex.org/keywords/power-usage-effectiveness","display_name":"power usage effectiveness","score":0.9900000095367432},{"id":"https://openalex.org/keywords/cooling-load-reduction","display_name":"cooling load reduction","score":0.7599999904632568},{"id":"https://openalex.org/keywords/hyperscale-data-centers","display_name":"hyperscale data centers","score":0.7739999890327454},{"id":"https://openalex.org/keywords/indonesia","display_name":"Indonesia","score":0.4230000078678131},{"id":"https://openalex.org/keywords/phospholamban","display_name":"phospholamban","score":0.4440000057220459}],"concepts":[{"id":"https://openalex.org/C153740404","wikidata":"https://www.wikidata.org/wiki/Q671224","display_name":"Data center","level":2,"score":0.697700023651123},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.6431999802589417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5626999735832214},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.4934999942779541},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4821999967098236},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4763999879360199},{"id":"https://openalex.org/C172191483","wikidata":"https://www.wikidata.org/wiki/Q1071806","display_name":"Provisioning","level":2,"score":0.46309998631477356},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4587000012397766},{"id":"https://openalex.org/C144446859","wikidata":"https://www.wikidata.org/wiki/Q219164","display_name":"Zombie","level":2,"score":0.4456999897956848},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.37459999322891235},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.36309999227523804},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3407999873161316},{"id":"https://openalex.org/C45882903","wikidata":"https://www.wikidata.org/wiki/Q5042317","display_name":"Fuel efficiency","level":2,"score":0.3301999866962433},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.31529998779296875},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.31369999051094055},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.31209999322891235},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3037000000476837},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.30309998989105225},{"id":"https://openalex.org/C122346748","wikidata":"https://www.wikidata.org/wiki/Q1798773","display_name":"HVAC","level":3,"score":0.30239999294281006},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.29420000314712524},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.27709999680519104},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.2766999900341034},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.2718000113964081},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2689000070095062},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.260699987411499},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.25450000166893005},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.25429999828338623},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.2542000114917755},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2531999945640564},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.2515999972820282},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.62123/enigma.v4i1.233","doi":"https://doi.org/10.62123/enigma.v4i1.233","is_oa":true,"landing_page_url":"https://doi.org/10.62123/enigma.v4i1.233","pdf_url":"https://journal.yasib.com/index.php/enigma/article/download/233/99","source":{"id":"https://openalex.org/S4390573889","display_name":"Electronic Integrated Computer Algorithm Journal","issn_l":"3031-0350","issn":["3031-0350"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Integrated Computer Algorithm Journal","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.62123/enigma.v4i1.233","doi":"https://doi.org/10.62123/enigma.v4i1.233","is_oa":true,"landing_page_url":"https://doi.org/10.62123/enigma.v4i1.233","pdf_url":"https://journal.yasib.com/index.php/enigma/article/download/233/99","source":{"id":"https://openalex.org/S4390573889","display_name":"Electronic Integrated Computer Algorithm Journal","issn_l":"3031-0350","issn":["3031-0350"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Integrated Computer Algorithm Journal","raw_type":"journal-article"},"sustainable_development_goals":[{"score":1.0,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"},{"score":0.878000020980835,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"},{"score":0.685699999332428,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7224948152.pdf","grobid_xml":"https://content.openalex.org/works/W7224948152.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W1992667469","https://openalex.org/W2086478591","https://openalex.org/W2529270071","https://openalex.org/W2793223339","https://openalex.org/W2899352930","https://openalex.org/W3007855629","https://openalex.org/W3031132337","https://openalex.org/W3046868538","https://openalex.org/W3177360957"],"related_works":["https://openalex.org/W7203691644","https://openalex.org/W7217609688","https://openalex.org/W7204112397","https://openalex.org/W2774385288","https://openalex.org/W4300773803","https://openalex.org/W3009458465","https://openalex.org/W3020778212","https://openalex.org/W6930588207","https://openalex.org/W2744213264","https://openalex.org/W3003992795"],"abstract_inverted_index":{"The":[0],"global":[1],"digital":[2],"transformation,":[3],"accelerated":[4],"by":[5,138],"the":[6,10,25,36,42,51,72,75,94,147,150],"COVID-19":[7],"pandemic":[8],"and":[9,65,87,105,155,158],"massive":[11],"adoption":[12],"of":[13,27,50,53,74,84,108,149,152],"generative":[14],"artificial":[15],"intelligence":[16,116],"(AI)":[17],"architectures,":[18],"has":[19],"triggered":[20],"an":[21,60],"exponential":[22],"surge":[23],"in":[24,41],"construction":[26],"hyperscale":[28],"data":[29,33],"center":[30],"infrastructure,":[31],"positioning":[32],"centers":[34],"among":[35],"most":[37],"energy-intensive":[38],"industrial":[39],"facilities":[40,125],"world.":[43],"This":[44],"research":[45,92],"presents":[46],"a":[47,82],"comprehensive":[48],"analysis":[49,112],"role":[52],"Data":[54],"Center":[55],"Infrastructure":[56],"Management":[57],"(DCIM)":[58],"as":[59,102],"instrument":[61],"to":[62,132,140],"diagnose,":[63],"orchestrate,":[64],"improve":[66],"energy":[67],"efficiency,":[68],"quantified":[69],"specifically":[70],"through":[71],"reduction":[73],"Power":[76],"Usage":[77],"Effectiveness":[78],"(PUE)":[79],"metric.":[80],"Using":[81],"framework":[83],"systematic":[85],"review":[86],"empirical":[88],"multi-case":[89],"analysis,":[90],"this":[91],"explores":[93],"operational":[95],"thermodynamic":[96],"dynamics":[97],"that":[98,114],"cause":[99],"inefficiencies,":[100],"such":[101],"zombie":[103],"servers":[104],"over-":[106],"provisioning":[107],"HVAC":[109],"systems.":[110],"Quantitative":[111],"demonstrates":[113],"DCIM":[115,144],"features":[117],"can":[118],"help":[119],"reduce":[120],"PUE,":[121],"with":[122],"several":[123],"institutional":[124],"successfully":[126],"lowering":[127],"baseline":[128],"PUE":[129],"from":[130],"1.83":[131],"1.51":[133],"while":[134],"cutting":[135],"cooling":[136],"loads":[137],"up":[139],"48%.":[141],"In":[142],"Indonesia,":[143],"integration":[145],"supports":[146],"fulfillment":[148],"mandates":[151],"SNI":[153],"8799:2020":[154],"SPBE":[156],"guidelines":[157],"helps":[159],"mitigate":[160],"peak":[161],"load":[162],"resilience":[163],"risks":[164],"for":[165],"PT":[166],"PLN":[167],"(Persero).":[168]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-10-31T00:00:00"}