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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Journal of English Literacy Education
Anita Aprilianti
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Education

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ENGLISH EDUCATION STUDENTS’ USE OF INDONESIAN-ENGLISH CODE SWITCHING ON INSTAGRAM Anita Aprilianti; Lingga Suganda; Ismail Petrus
The Journal of English Literacy Education: The Teaching and Learning of English as a Foreign Language Vol 9, No 2 (2022): The Journal of English Literacy Education
Publisher : Faculty of Teacher Training and Education, Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36706/jele.v9i2.18973

Abstract

Code switching often occurs in daily conversation of multilingual society, including on their use of social media. This study aims to describe the types, functions, and reasons of code switching made by university students of English Education Department in their Instagram accounts. The data in this study are in the form of caption and comments on the Instagram accounts and the responses from the interview and questionnaire with 61 participants. This study used three instruments, namely documentation, questionnaires, and interviews. The findings indicated that tag switching was the dominantly used type of code switching with directive, poetic, and expressive  functions. While, to attract attention, to show habitual expression, to address different audience, and to show mood of the speaker were the functions and reasons of their code switching. Code switching with regards to the certain types, functions, and reasons is used naturally within informal context communication among the youth who know and learn English as a foreign language (EFL) formally.
K-Means for IT Asset Segmentation and Demand Forecasting Using Double Exponential Smoothing (DES) Anita aprilianti; Ben Rahman
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 14 No. 1 (2026): March 2026
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v14i1.12129

Abstract

IT asset management was a crucial aspect in supporting the smooth operation of a company. Poorly planned asset procurement resulted in asset shortages or excesses, which impacted cost efficiency. Frequent problems included the lack of asset grouping based on needs and difficulties in forecasting future IT asset demand. This study aimed to group IT assets using the K-Means method and to forecast IT asset demand using the Double Exponential Smoothing method. Asset grouping was used to assist companies in determining asset procurement priorities. This study used historical IT asset demand data for the period January 2024 to February 2025. The K-Means method was applied to group assets into three categories: submitted, need to consider, and not submitted. The Double Exponential Smoothing method was employed to forecast future IT asset demand by measuring the error rate using Mean Absolute Deviation (MAD), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE). The results showed that the K-Means method helped companies determine IT asset management priorities, while the Double Exponential Smoothing method produced asset demand forecasts with low error rates, thereby supporting more accurate IT asset procurement planning.
Co-Authors Ben Rahman Ismail Petrus Lingga Suganda