Author profile OpenAlex ID
Imas Sukaesih Sitanggang
- Articles in Melola
- 6
- Citations (OpenAlex)
- 3
- Journals
- International Journal of Electrical and Computer Engineering (IJECE); Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK)
- ORCID
- 0000-0002-2280-1752
- OpenAlex
- A5040598439
- Name in journal metadata
- Sitanggang, Imas Sukaesih
Co-authors
14 authors · 25 co-authorship links
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- IPB University
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Lailan Syaufina | IPB University | 3 |
| Zuliar Efendi | IPB University | 1 |
| Irman Hermadi | IPB University | 1 |
| Kahfi Heryandi Suradiradja | IPB University | 1 |
| Luki Abdullah | IPB University | 1 |
| Annisa Annisa | IPB University | 1 |
| Alusyanti Primawati | IPB University | 1 |
| Dewi Apri Astuti | IPB University | 1 |
| Shelvie Nidya Neyman | IPB University | 1 |
| Yoga Herawan | IPB University | 1 |
| Ahmad Bintang Arif | IPB University | 1 |
| Hari Agung Adrianto | IPB University | 1 |
| Assad Hidayat | IPB University | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.
Articles
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Hyperparameter tuning of MobileNetV2 on forest and land fire severity classification
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Comparative analysis of convolutional neural network architecture for post forest fire area classification based on vegetation image
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Identification of Android APK malware through local and global feature extraction using meta classifier
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Real-time business intelligence development using machine learning to increase the potential of the dairy goat milk business
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Convolutional neural network for estimation of harvest time of forage sorghum (sorghum bicolor) cultivar samurai-1
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Analisis Dampak Kabut Asap dari Kebakaran Hutan dan Lahan dengan Pendekatan Text Mining
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