Analysis and Clustering of Poverty Levels by Education in Cimahi City Using the BIRCH Method (Balanced Iterative Reducing and Clustering using Hierarchies) Article Swipe

PDF

Fadhilla Artamevia Putri Ristiawan , Ari Wibowo ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.47709/brilliance.v5i1.5631

Poverty is an important issue for the local government of Cimahi City, mainly caused by the low level of education of the community and unequal access to quality educational facilities. Given the role of education in influencing the economic condition of the community, this study aims to examine the causes of poverty. Demographic factors such as income, social economic status, and educational attainment are examined in this study using data from the Education Department and Social Department of Cimahi City from 2019 to 2024. There are three poverty levels categorized based on the BIRCH method high, medium, and low. Cigugur Tengah and Leuwigajah area have a majority of residents with a high school education or less and a high poverty rate, while Baros and Padasuka Urban Village have a majority of residents with a D3-D4 education and a low poverty rate. However, the clustering results of the BIRCH method only yielded an accuracy of 43%, which shows that this model is not optimal in clustering poverty levels. According to these results, a region's chance of overcoming poverty increases with the average educational level of its population. The results of this study indicate that education plays an important role in helping people out of poverty. Therefore, the expansion of educational opportunities and an increase in public awareness of the value of education are key solutions.

Related Topics

Artificial Intelligence

Economic Growth

Concepts

Cluster analysis Poverty Computer science Mathematics Economics Artificial intelligence Economic growth

Metadata

Type: article
Language: en
Landing Page: https://doi.org/10.47709/brilliance.v5i1.5631
PDF: https://jurnal.itscience.org/index.php/brilliance/article/download/5631/4261
OA Status: diamond
Related Works: 10
OpenAlex ID: https://openalex.org/W4412527874

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W4412527874

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.47709/brilliance.v5i1.5631

Digital Object Identifier
Title: Analysis and Clustering of Poverty Levels by Education in Cimahi City Using the BIRCH Method (Balanced Iterative Reducing and Clustering using Hierarchies)

Work title
Type: article

OpenAlex work type
Language: en

Primary language
Publication year: 2025

Year of publication
Publication date: 2025-03-24

Full publication date if available
Authors: Fadhilla Artamevia Putri Ristiawan, Ari Wibowo

List of authors in order
Landing page: https://doi.org/10.47709/brilliance.v5i1.5631

Publisher landing page
PDF URL: https://jurnal.itscience.org/index.php/brilliance/article/download/5631/4261

Direct link to full text PDF
Open access: Yes

Whether a free full text is available
OA status: diamond

Open access status per OpenAlex
OA URL: https://jurnal.itscience.org/index.php/brilliance/article/download/5631/4261

Direct OA link when available
Concepts: Cluster analysis, Poverty, Computer science, Mathematics, Economics, Artificial intelligence, Economic growth

Top concepts (fields/topics) attached by OpenAlex
Cited by: 0

Total citation count in OpenAlex
Related works (count): 10

Other works algorithmically related by OpenAlex

Full payload

id	https://openalex.org/W4412527874
doi	https://doi.org/10.47709/brilliance.v5i1.5631
ids.doi	https://doi.org/10.47709/brilliance.v5i1.5631
ids.openalex	https://openalex.org/W4412527874
fwci	0.0
type	article
title	Analysis and Clustering of Poverty Levels by Education in Cimahi City Using the BIRCH Method (Balanced Iterative Reducing and Clustering using Hierarchies)
biblio.issue	1
biblio.volume	5
biblio.last_page	20
biblio.first_page	12
topics[0].id	https://openalex.org/T13373
topics[0].field.id	https://openalex.org/fields/17
topics[0].field.display_name	Computer Science
topics[0].score	0.8956000208854675
topics[0].domain.id	https://openalex.org/domains/3
topics[0].domain.display_name	Physical Sciences
topics[0].subfield.id	https://openalex.org/subfields/1710
topics[0].subfield.display_name	Information Systems
topics[0].display_name	Data Mining and Machine Learning Applications
is_xpac	False
apc_list
apc_paid
concepts[0].id	https://openalex.org/C73555534
concepts[0].level	2
concepts[0].score	0.7938048839569092
concepts[0].wikidata	https://www.wikidata.org/wiki/Q622825
concepts[0].display_name	Cluster analysis
concepts[1].id	https://openalex.org/C189326681
concepts[1].level	2
concepts[1].score	0.45207738876342773
concepts[1].wikidata	https://www.wikidata.org/wiki/Q10294
concepts[1].display_name	Poverty
concepts[2].id	https://openalex.org/C41008148
concepts[2].level	0
concepts[2].score	0.3711531162261963
concepts[2].wikidata	https://www.wikidata.org/wiki/Q21198
concepts[2].display_name	Computer science
concepts[3].id	https://openalex.org/C33923547
concepts[3].level	0
concepts[3].score	0.33179137110710144
concepts[3].wikidata	https://www.wikidata.org/wiki/Q395
concepts[3].display_name	Mathematics
concepts[4].id	https://openalex.org/C162324750
concepts[4].level	0
concepts[4].score	0.2366364598274231
concepts[4].wikidata	https://www.wikidata.org/wiki/Q8134
concepts[4].display_name	Economics
concepts[5].id	https://openalex.org/C154945302
concepts[5].level	1
concepts[5].score	0.21113267540931702
concepts[5].wikidata	https://www.wikidata.org/wiki/Q11660
concepts[5].display_name	Artificial intelligence
concepts[6].id	https://openalex.org/C50522688
concepts[6].level	1
concepts[6].score	0.14878100156784058
concepts[6].wikidata	https://www.wikidata.org/wiki/Q189833
concepts[6].display_name	Economic growth
keywords[0].id	https://openalex.org/keywords/cluster-analysis
keywords[0].score	0.7938048839569092
keywords[0].display_name	Cluster analysis
keywords[1].id	https://openalex.org/keywords/poverty
keywords[1].score	0.45207738876342773
keywords[1].display_name	Poverty
keywords[2].id	https://openalex.org/keywords/computer-science
keywords[2].score	0.3711531162261963
keywords[2].display_name	Computer science
keywords[3].id	https://openalex.org/keywords/mathematics
keywords[3].score	0.33179137110710144
keywords[3].display_name	Mathematics
keywords[4].id	https://openalex.org/keywords/economics
keywords[4].score	0.2366364598274231
keywords[4].display_name	Economics
keywords[5].id	https://openalex.org/keywords/artificial-intelligence
keywords[5].score	0.21113267540931702
keywords[5].display_name	Artificial intelligence
keywords[6].id	https://openalex.org/keywords/economic-growth
keywords[6].score	0.14878100156784058
keywords[6].display_name	Economic growth
language	en
locations[0].id	doi:10.47709/brilliance.v5i1.5631
locations[0].is_oa	True
locations[0].source.id	https://openalex.org/S4210179222
locations[0].source.issn	2807-9035
locations[0].source.type	journal
locations[0].source.is_oa	True
locations[0].source.issn_l	2807-9035
locations[0].source.is_core	False
locations[0].source.is_in_doaj	False
locations[0].source.display_name	Brilliance Research of Artificial Intelligence
locations[0].source.host_organization
locations[0].source.host_organization_name
locations[0].license	cc-by-nc
locations[0].pdf_url	https://jurnal.itscience.org/index.php/brilliance/article/download/5631/4261
locations[0].version	publishedVersion
locations[0].raw_type	journal-article
locations[0].license_id	https://openalex.org/licenses/cc-by-nc
locations[0].is_accepted	True
locations[0].is_published	True
locations[0].raw_source_name	Brilliance: Research of Artificial Intelligence
locations[0].landing_page_url	https://doi.org/10.47709/brilliance.v5i1.5631
indexed_in	crossref
authorships[0].author.id	https://openalex.org/A5119027131
authorships[0].author.orcid
authorships[0].author.display_name	Fadhilla Artamevia Putri Ristiawan
authorships[0].author_position	first
authorships[0].raw_author_name	Fadhilla Artamevia Putri Ristiawan
authorships[0].is_corresponding	False
authorships[1].author.id	https://openalex.org/A5089482592
authorships[1].author.orcid	https://orcid.org/0009-0009-8248-5163
authorships[1].author.display_name	Ari Wibowo
authorships[1].author_position	last
authorships[1].raw_author_name	Ari Purno Wahyu Wibowo
authorships[1].is_corresponding	False
has_content.pdf	True
has_content.grobid_xml	True
is_paratext	False
open_access.is_oa	True
open_access.oa_url	https://jurnal.itscience.org/index.php/brilliance/article/download/5631/4261
open_access.oa_status	diamond
open_access.any_repository_has_fulltext	False
created_date	2025-10-10T00:00:00
display_name	Analysis and Clustering of Poverty Levels by Education in Cimahi City Using the BIRCH Method (Balanced Iterative Reducing and Clustering using Hierarchies)
has_fulltext	False
is_retracted	False
updated_date	2025-11-06T03:46:38.306776
primary_topic.id	https://openalex.org/T13373
primary_topic.field.id	https://openalex.org/fields/17
primary_topic.field.display_name	Computer Science
primary_topic.score	0.8956000208854675
primary_topic.domain.id	https://openalex.org/domains/3
primary_topic.domain.display_name	Physical Sciences
primary_topic.subfield.id	https://openalex.org/subfields/1710
primary_topic.subfield.display_name	Information Systems
primary_topic.display_name	Data Mining and Machine Learning Applications
related_works	https://openalex.org/W2899084033, https://openalex.org/W2748952813, https://openalex.org/W4391375266, https://openalex.org/W1979597421, https://openalex.org/W2007980826, https://openalex.org/W2061531152, https://openalex.org/W3002753104, https://openalex.org/W2077600819, https://openalex.org/W2142036596, https://openalex.org/W2072657027
cited_by_count	0
locations_count	1
best_oa_location.id	doi:10.47709/brilliance.v5i1.5631
best_oa_location.is_oa	True
best_oa_location.source.id	https://openalex.org/S4210179222
best_oa_location.source.issn	2807-9035
best_oa_location.source.type	journal
best_oa_location.source.is_oa	True
best_oa_location.source.issn_l	2807-9035
best_oa_location.source.is_core	False
best_oa_location.source.is_in_doaj	False
best_oa_location.source.display_name	Brilliance Research of Artificial Intelligence
best_oa_location.source.host_organization
best_oa_location.source.host_organization_name
best_oa_location.license	cc-by-nc
best_oa_location.pdf_url	https://jurnal.itscience.org/index.php/brilliance/article/download/5631/4261
best_oa_location.version	publishedVersion
best_oa_location.raw_type	journal-article
best_oa_location.license_id	https://openalex.org/licenses/cc-by-nc
best_oa_location.is_accepted	True
best_oa_location.is_published	True
best_oa_location.raw_source_name	Brilliance: Research of Artificial Intelligence
best_oa_location.landing_page_url	https://doi.org/10.47709/brilliance.v5i1.5631
primary_location.id	doi:10.47709/brilliance.v5i1.5631
primary_location.is_oa	True
primary_location.source.id	https://openalex.org/S4210179222
primary_location.source.issn	2807-9035
primary_location.source.type	journal
primary_location.source.is_oa	True
primary_location.source.issn_l	2807-9035
primary_location.source.is_core	False
primary_location.source.is_in_doaj	False
primary_location.source.display_name	Brilliance Research of Artificial Intelligence
primary_location.source.host_organization
primary_location.source.host_organization_name
primary_location.license	cc-by-nc
primary_location.pdf_url	https://jurnal.itscience.org/index.php/brilliance/article/download/5631/4261
primary_location.version	publishedVersion
primary_location.raw_type	journal-article
primary_location.license_id	https://openalex.org/licenses/cc-by-nc
primary_location.is_accepted	True
primary_location.is_published	True
primary_location.raw_source_name	Brilliance: Research of Artificial Intelligence
primary_location.landing_page_url	https://doi.org/10.47709/brilliance.v5i1.5631
publication_date	2025-03-24
publication_year	2025
referenced_works_count	0
abstract_inverted_index.a	105, 110, 117, 128, 133, 137, 171
abstract_inverted_index.an	2, 151, 195, 211
abstract_inverted_index.as	55
abstract_inverted_index.by	14
abstract_inverted_index.in	35, 65, 163, 198, 213
abstract_inverted_index.is	1, 160
abstract_inverted_index.of	9, 18, 20, 33, 40, 50, 77, 107, 130, 145, 153, 174, 183, 188, 202, 207, 216, 219
abstract_inverted_index.on	91
abstract_inverted_index.or	114
abstract_inverted_index.to	26, 46, 82, 168
abstract_inverted_index.The	186
abstract_inverted_index.and	23, 60, 74, 97, 101, 116, 123, 136, 210
abstract_inverted_index.are	63, 85, 221
abstract_inverted_index.for	5
abstract_inverted_index.its	184
abstract_inverted_index.key	222
abstract_inverted_index.low	16, 138
abstract_inverted_index.not	161
abstract_inverted_index.out	201
abstract_inverted_index.the	6, 15, 21, 31, 37, 41, 48, 71, 92, 142, 146, 179, 205, 217
abstract_inverted_index.2019	81
abstract_inverted_index.43%,	154
abstract_inverted_index.City	79
abstract_inverted_index.aims	45
abstract_inverted_index.area	103
abstract_inverted_index.data	69
abstract_inverted_index.from	70, 80
abstract_inverted_index.have	104, 127
abstract_inverted_index.high	111, 118
abstract_inverted_index.less	115
abstract_inverted_index.low.	98
abstract_inverted_index.only	149
abstract_inverted_index.role	32, 197
abstract_inverted_index.such	54
abstract_inverted_index.that	157, 192
abstract_inverted_index.this	43, 66, 158, 189
abstract_inverted_index.with	109, 132, 178
abstract_inverted_index.2024.	83
abstract_inverted_index.BIRCH	93, 147
abstract_inverted_index.Baros	122
abstract_inverted_index.City,	11
abstract_inverted_index.D3-D4	134
abstract_inverted_index.Given	30
abstract_inverted_index.There	84
abstract_inverted_index.Urban	125
abstract_inverted_index.based	90
abstract_inverted_index.high,	95
abstract_inverted_index.issue	4
abstract_inverted_index.level	17, 182
abstract_inverted_index.local	7
abstract_inverted_index.model	159
abstract_inverted_index.plays	194
abstract_inverted_index.rate,	120
abstract_inverted_index.rate.	140
abstract_inverted_index.shows	156
abstract_inverted_index.study	44, 67, 190
abstract_inverted_index.these	169
abstract_inverted_index.three	86
abstract_inverted_index.using	68
abstract_inverted_index.value	218
abstract_inverted_index.which	155
abstract_inverted_index.while	121
abstract_inverted_index.Cimahi	10, 78
abstract_inverted_index.Social	75
abstract_inverted_index.Tengah	100
abstract_inverted_index.access	25
abstract_inverted_index.caused	13
abstract_inverted_index.causes	49
abstract_inverted_index.chance	173
abstract_inverted_index.levels	88
abstract_inverted_index.mainly	12
abstract_inverted_index.method	94, 148
abstract_inverted_index.people	200
abstract_inverted_index.public	214
abstract_inverted_index.school	112
abstract_inverted_index.social	57
abstract_inverted_index.Cigugur	99
abstract_inverted_index.Poverty	0
abstract_inverted_index.Village	126
abstract_inverted_index.average	180
abstract_inverted_index.examine	47
abstract_inverted_index.factors	53
abstract_inverted_index.helping	199
abstract_inverted_index.income,	56
abstract_inverted_index.levels.	166
abstract_inverted_index.medium,	96
abstract_inverted_index.optimal	162
abstract_inverted_index.poverty	87, 119, 139, 165, 176
abstract_inverted_index.quality	27
abstract_inverted_index.results	144, 187
abstract_inverted_index.status,	59
abstract_inverted_index.unequal	24
abstract_inverted_index.yielded	150
abstract_inverted_index.However,	141
abstract_inverted_index.Padasuka	124
abstract_inverted_index.accuracy	152
abstract_inverted_index.economic	38, 58
abstract_inverted_index.examined	64
abstract_inverted_index.increase	212
abstract_inverted_index.indicate	191
abstract_inverted_index.majority	106, 129
abstract_inverted_index.poverty.	51, 203
abstract_inverted_index.region's	172
abstract_inverted_index.results,	170
abstract_inverted_index.According	167
abstract_inverted_index.Education	72
abstract_inverted_index.awareness	215
abstract_inverted_index.community	22
abstract_inverted_index.condition	39
abstract_inverted_index.education	19, 34, 113, 135, 193, 220
abstract_inverted_index.expansion	206
abstract_inverted_index.important	3, 196
abstract_inverted_index.increases	177
abstract_inverted_index.residents	108, 131
abstract_inverted_index.Department	73, 76
abstract_inverted_index.Leuwigajah	102
abstract_inverted_index.Therefore,	204
abstract_inverted_index.attainment	62
abstract_inverted_index.clustering	143, 164
abstract_inverted_index.community,	42
abstract_inverted_index.government	8
abstract_inverted_index.overcoming	175
abstract_inverted_index.solutions.	223
abstract_inverted_index.Demographic	52
abstract_inverted_index.categorized	89
abstract_inverted_index.educational	28, 61, 181, 208
abstract_inverted_index.facilities.	29
abstract_inverted_index.influencing	36
abstract_inverted_index.population.	185
abstract_inverted_index.opportunities	209
cited_by_percentile_year
countries_distinct_count	0
institutions_distinct_count	2
citation_normalized_percentile.value	0.39322749
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	True