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All Journal Jurnal Matematika UNAND Jurnal Sintak
Utami, Bulan Purnama
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Mathematics

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The Influence of Post Frequency and Type of Platform Used on Follower Interest Levels Azzahra, Nabila; Utami, Bulan Purnama; Arrafi, Adamsyam; Handayani, Vitri Aprilla
JURNAL SINTAK Vol. 3 No. 1 (2024): SEPTEMBER 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jsintak.v3i1.381

Abstract

This study examines the influence of social media platform types and posting frequency on the level of follower interest in a content creator's account. The analysis results show that the type of platform (Instagram or TikTok) does not have a significant impact on follower interest. However, posting frequency is proven to have a substantial influence, with weekly frequency showing the most positive impact. The interaction between platform type and posting frequency does not demonstrate a significant effect. These findings suggest that content creators can focus on adjusting their posting frequency, particularly with a weekly schedule, to increase follower interest, without needing to worry about choosing between Instagram or TikTok platforms.
Optimizing Classroom Allocation using Markov Chain Model for Shifted Lecture Schedules Hayati, Nahrul; Sulistyono, Eko; Utami, Bulan Purnama
Jurnal Matematika UNAND Vol. 15 No. 1 (2026)
Publisher : Departemen Matematika dan Sains Data FMIPA Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jmua.15.1.17-29.2026

Abstract

This study aims to optimize classroom allocation for shift lecture schedules at the Batam Institut of Technology (ITEBA) using a Markov chain model. Classroom utilization data from the Odd and EVen Semesters of the 2024/2025 Academic Year were analyzed by defining four classroom usage states: occupied in the morning shift and vacant in the evening shift (OV), vacant in the morning shift and occupied in the evening shift (VO), occupied in both morning and evening shifts (OO), and vacant in both morning and evening shifts (VV). State transition analysis revealed patterns in classroom allocation dynamics between semesters, while steady-state analysis projected long term utilization. The results show a steady-state probability of 74.04% for the OO state (optimal utilization), but 15.48% of classrooms remain in the VV state (chronic underutilization). Based on these findings, the study recommends a classroom consolidation strategy based on complementary patterns, implementation of a digital reservation system, and optimization of single shift usage. This study concludes that the Markov chain model provides a scientific basis for strategic decision making in educational facility management.
Co-Authors Arrafi, Adamsyam Azzahra, Nabila Eko Sulistyono Handayani, Vitri Aprilla Nahrul Hayati