About the Journal
Jurnal TEKNISI (Teknologi Komputer dan Sistem Informasi) is a scientific journal published by the Smart Education Institute. This journal is issued twice a year, in February and August. It features a collection of research findings in the fields of Computer Science, Science, and Technology, including Data Mining, Machine Learning, Deep Learning, Computer Engineering, Information Technology, Information Systems, Computer Systems, and Software Engineering. The articles are written by researchers, academics, professionals, and practitioners.
JURNAL TEKNISI with E-ISSN : 2775-0965 and the journal has been accredited with SINTA (Science and Technology Index) Rank 6, based on the Decree of the Ministry of Higher Education, Science, and Technology Number 1439/E5/DT.005.00/2024 which is valid for five years from the date of enactment, starting from Volume 1 Number 2 of 2021 until Volume 6 Number 1 of 2026.
Current Issue
Jurnal Teknisi (Jurnal Teknologi Komputer dan Sistem Informasi) Volume 6 No 2 Agustus 2026 was published on Agustus 08, 2026. This issue contains 5 articles covering themes such as machine learning, data mining, deep learning and forecasting. The articles were authored by 22 researchers and academics from 3 University namely Universitas Muhammadiyah Kalimantan Timur, Universitas Komputer Indonesia, Universitas Royal representing by 3 provinces: North Sumatra, East Kalimantan and West Java Indonesia.
Articles
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HATE SPEECH CLASSIFICATION IN LOW RESOURCE REGIONAL LANGUAGESUSING CROSS LINGUAL TRANSFER LEARNING AND LLM BASED DATA AUGMENTATION
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DOI :
10.54314/ma09f535
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EARLY DETECTION OF BASAL STEM ROT IN OIL PALMUSING A LIGHTWEIGHT VISION TRANSFORMER BASED ONKNOWLEDGE DISTILLATION FOR EDGE DEVICE IMPLEMENTATION
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DOI :
10.54314/k1j77s61
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COMPARISON OF MOVING AVERAGE AND WEIGHTED ACCURACYMOVING AVERAGE AT SHIZUKA BURGER TOWER
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DOI :
10.54314/dt2sv449
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ACCURACY COMPARISON OF MOVING AVERAGE AND WEIGHTED MOVING AVERAGE METHODS FOR SALES FORECASTING
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DOI :
10.54314/e12m6433
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PERFUME SALES FORECAST USING THE METHOD WEIGHTED MOVING AVERAGE AND SINGLE MOVING AVERAGE
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DOI :
10.54314/pwvv9x30










