Smartphone Purchase Recommendation System Using the K-Nearest Neighbor (KNN) Algorithm Article Swipe
Bayu Rahmat Setiaji
,
Dody Qori Utama
,
Adiwijaya Adiwijaya
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.30865/mib.v6i4.4753
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.30865/mib.v6i4.4753
Indonesia is in the fourth position of the countries with the most smartphone users worldwide. Smartphones are needed in today's modern times. Smartphones are also used not only for long-distance communication but also for carrying out daily work. Smartphones are currently used for study and work and also become entertainment to play. Therefore, smartphones are very much sought after for the suitability of users who carry out their daily activities. So this research is very helpful for users to find smartphones that support their daily activities such as studying, working, and playing. This research is based on a website that can make it easier for users to see their smartphone recommendations directly. The analysis uses the K-Nearest Neighbor (KKN) method to see the ratings reviewed by other users who have tried using their smartphones with different phone brands. The calculation method in the current study uses 3 KNN calculations and uses the concept of combining calculations to find the maximum recommendation results. The result of the recommendation system using the K-Nearest Neighbor method is in the form of a review stating whether the user agrees or disagrees. In the current study, there have been 100 reviews from users, and it has a percentage of 78% for success and 22% for failure.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.30865/mib.v6i4.4753
- https://ejurnal.stmik-budidarma.ac.id/index.php/mib/article/download/4753/3003
- OA Status
- diamond
- Cited By
- 3
- References
- 14
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4320062440
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4320062440Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.30865/mib.v6i4.4753Digital Object Identifier
- Title
-
Smartphone Purchase Recommendation System Using the K-Nearest Neighbor (KNN) AlgorithmWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-10-25Full publication date if available
- Authors
-
Bayu Rahmat Setiaji, Dody Qori Utama, Adiwijaya AdiwijayaList of authors in order
- Landing page
-
https://doi.org/10.30865/mib.v6i4.4753Publisher landing page
- PDF URL
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https://ejurnal.stmik-budidarma.ac.id/index.php/mib/article/download/4753/3003Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://ejurnal.stmik-budidarma.ac.id/index.php/mib/article/download/4753/3003Direct OA link when available
- Concepts
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k-nearest neighbors algorithm, Phone, Computer science, Entertainment, Smart phone, Recommender system, Work (physics), Position (finance), Algorithm, Machine learning, Telecommunications, Engineering, Business, Finance, Philosophy, Linguistics, Art, Mechanical engineering, Visual artsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1, 2023: 1, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
14Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.very | 55, 74 |
| abstract_inverted_index.with | 9, 134 |
| abstract_inverted_index.work | 45 |
| abstract_inverted_index.(KKN) | 118 |
| abstract_inverted_index.after | 58 |
| abstract_inverted_index.based | 95 |
| abstract_inverted_index.carry | 65 |
| abstract_inverted_index.daily | 36, 68, 84 |
| abstract_inverted_index.other | 126 |
| abstract_inverted_index.phone | 136 |
| abstract_inverted_index.play. | 51 |
| abstract_inverted_index.study | 43, 144 |
| abstract_inverted_index.their | 67, 83, 108, 132 |
| abstract_inverted_index.there | 191 |
| abstract_inverted_index.tried | 130 |
| abstract_inverted_index.users | 13, 63, 77, 105, 127 |
| abstract_inverted_index.using | 131, 168 |
| abstract_inverted_index.work. | 37 |
| abstract_inverted_index.agrees | 184 |
| abstract_inverted_index.become | 48 |
| abstract_inverted_index.easier | 103 |
| abstract_inverted_index.fourth | 4 |
| abstract_inverted_index.method | 119, 140, 172 |
| abstract_inverted_index.modern | 20 |
| abstract_inverted_index.needed | 17 |
| abstract_inverted_index.result | 163 |
| abstract_inverted_index.review | 179 |
| abstract_inverted_index.sought | 57 |
| abstract_inverted_index.study, | 190 |
| abstract_inverted_index.system | 167 |
| abstract_inverted_index.times. | 21 |
| abstract_inverted_index.users, | 197 |
| abstract_inverted_index.brands. | 137 |
| abstract_inverted_index.concept | 152 |
| abstract_inverted_index.current | 143, 189 |
| abstract_inverted_index.helpful | 75 |
| abstract_inverted_index.maximum | 159 |
| abstract_inverted_index.ratings | 123 |
| abstract_inverted_index.reviews | 195 |
| abstract_inverted_index.stating | 180 |
| abstract_inverted_index.success | 206 |
| abstract_inverted_index.support | 82 |
| abstract_inverted_index.today's | 19 |
| abstract_inverted_index.website | 98 |
| abstract_inverted_index.whether | 181 |
| abstract_inverted_index.Neighbor | 117, 171 |
| abstract_inverted_index.analysis | 113 |
| abstract_inverted_index.carrying | 34 |
| abstract_inverted_index.failure. | 210 |
| abstract_inverted_index.playing. | 91 |
| abstract_inverted_index.position | 5 |
| abstract_inverted_index.research | 72, 93 |
| abstract_inverted_index.results. | 161 |
| abstract_inverted_index.reviewed | 124 |
| abstract_inverted_index.working, | 89 |
| abstract_inverted_index.Indonesia | 0 |
| abstract_inverted_index.K-Nearest | 116, 170 |
| abstract_inverted_index.combining | 154 |
| abstract_inverted_index.countries | 8 |
| abstract_inverted_index.currently | 40 |
| abstract_inverted_index.different | 135 |
| abstract_inverted_index.directly. | 111 |
| abstract_inverted_index.studying, | 88 |
| abstract_inverted_index.Therefore, | 52 |
| abstract_inverted_index.activities | 85 |
| abstract_inverted_index.disagrees. | 186 |
| abstract_inverted_index.percentage | 202 |
| abstract_inverted_index.smartphone | 12, 109 |
| abstract_inverted_index.worldwide. | 14 |
| abstract_inverted_index.Smartphones | 15, 22, 38 |
| abstract_inverted_index.activities. | 69 |
| abstract_inverted_index.calculation | 139 |
| abstract_inverted_index.smartphones | 53, 80, 133 |
| abstract_inverted_index.suitability | 61 |
| abstract_inverted_index.calculations | 148, 155 |
| abstract_inverted_index.communication | 30 |
| abstract_inverted_index.entertainment | 49 |
| abstract_inverted_index.long-distance | 29 |
| abstract_inverted_index.recommendation | 160, 166 |
| abstract_inverted_index.recommendations | 110 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5002134210, https://openalex.org/A5061473902, https://openalex.org/A5070058761 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I862893732 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.5 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.8183428 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |