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All Journal Speed - Sentra Penelitian Engineering dan Edukasi INTEKNA POSITIF PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal IMPACT: Implementation and Action Indonesian Journal of Networking and Security - IJNS INSTALL: Information System and Technology Journal Journal of Renewable Energy and Smart Device
Evi Lestari Pratiwi - Politeknik Hasnur Kalimantan Selatan, Evi Lestari Pratiwi
Pengajar Jurusan Administrasi Bisnis Politeknik Negeri Banjarmasin
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Analysis of the Utilization of TikTok Content as a Coping Strategy to Reduce Stress Among Final-Year Students Using a Classification Method Husna Karima; Zulfadhilah, Muhammad; Prastya, Septyan Eka; Pratiwi, Evi Lestari
INSTALL: Information System and Technology Journal Vol 2 No 3 (2025): INSTALL : Information System and Technology Journal
Publisher : LPPM Universitas Sari Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33859/install.v2i3.991

Abstract

Stress represents a prevalent psychological challenge among final- year university students, particularly during thesis completion. Academic pressure, social demands, and future uncertainty trigger stress that negatively impacts mental health. Social media, especially TikTok, is increasingly utilized as a coping mechanism to reduce stress through entertainment, educational, and motivational content. This study aims to analyze TikTok content utilization as a coping strategy for stress reduction among final-year students using a classification method. This quantitative research employed a survey approach with a population of 342 active TikTok users among final- year students at Sari Mulia University. Data were collected through an online questionnaire covering variables including content type, duration, features used, and psychological indicators such as anxiety, emotions, escapism, and coping effectiveness. Data preprocessing included one-hot encoding, SMOTE, and normalization, followed by classification using Support Vector Machine with RBF kernel optimized through GridSearchCV. Results revealed very high correlations among psychological variables (r ≈ 0.93–1.00), while correlations between content type and stress reduction were relatively low (0.00–0.15). Some pure entertainment content showed negative correlations with psychological improvement. The SVM model achieved high classification accuracy of approximately 94%. This study demonstrates that TikTok can serve as a short-term stress coping tool for final-year students, though its effectiveness depends heavily on the type of content consumed. Educational and motivational content shows greater potential for stress reduction compared to pure entertainment content. This research contributes to understanding digital mental health support mechanisms and provides insights for developing healthier media consumption strategies among university students.
AI Enabled Smart Web Based System for Monitoring Sustainable Energy Usage in Construction Supply Management Evi Lestari Pratiwi; Paula Dewanti
Journal of Renewable Energy and Smart Device Vol. 3 No. 2 April 2026
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/joresd.v3i2.802

Abstract

The construction industry significantly contributes to global energy consumption and carbon emissions, necessitating innovative solutions for sustainable supply chain management. This study presents an AI-Enabled Smart Web-Based System for Monitoring Sustainable Energy Usage in Construction Supply Management, which innovatively integrates AI-driven energy prediction directly into procurement workflows. The system, developed using the Waterfall model and built upon a Laravel-MySQL-Python (Scikit-Learn) architecture, provides a robust platform for real-time procurement tracking and AI-driven energy usage prediction. Functional testing verified the system's operational reliability, achieving a 100% pass rate. The integrated AI prediction module demonstrated high accuracy with a Mean Absolute Error (MAE) of 0.62 kWh, effectively forecasting energy consumption associated with procurement transactions. User evaluations indicated a 92% overall satisfaction rate, highlighting significant improvements in data transparency, report generation speed, and enhanced understanding of energy-related impacts. This system offers a novel approach to bridge the critical gap between operational efficiency and environmental sustainability in construction supply chains, providing a scalable model for intelligent, energy-aware process transformation. This research contributes a scalable model for fostering sustainable digital transformation within the construction sector, aligning with global sustainability goals and promoting eco-efficient practices.
Mathematical Modeling of Gap Analysis in Academic Portfolio Assessment Using the Profile Matching Algorithm Ramadhani Noor Pratama; Evi Lestari Pratiwi
Journal of Renewable Energy and Smart Device Vol. 3 No. 2 April 2026
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/joresd.v3i2.809

Abstract

As the transition to lifelong learning continues to advance, Recognition of Prior Learning (RPL) programs have been widely adopted across the higher education sector. For a long time, manual evaluation relying on experience-based archives has consistently faced core pain points: high labor intensity, long processing time, and significant risk of subjective bias. It is therefore extremely urgent to implement and roll out improvements to information technology-driven business processes. To address this gap, this study developed an automated decision support system for archive evaluation. Its core innovation is adapting the Profile Matching algorithm from a static single-objective framework into a dynamic multi-objective gap analysis model. The system includes four core processes: matching applicants’ verified competencies with their course learning outcomes, categorizing course learning outcomes into core and secondary groups, calculating weighted gaps, and generating standardized credit recommendations. Tested on a small dataset containing only 10 historical archives, the system compressed the original multi-day evaluation period to less than 5 minutes. The system boasts both mathematical consistency and traceable audit trails, which allow it to eliminate evaluation bias and safeguard academic integrity. It can also be extended for use in scenarios including higher education micro-credential programs and human resource management.
Pembuatan Sistem Informasi Persediaan Barang pada PT Lumasindo Sumber Abadi: Development of Inventory Information System at PT Lumasindo Sumber Abadi Evi Lestari Pratiwi; Ramadhani Noor Pratama; Inayatul Ulya Ahyati
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 11 No. 5 (2026): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/pengabdianmu.v11i5.11014

Abstract

This community service aims to design and develop an inventory management system at PT Lumasindo Sumber Abadi. The background of this community service is the company's need to improve operational efficiency and data accuracy in managing stock, which was previously done manually and was prone to errors. The system development method used is a structured approach that includes the following stages: needs analysis, system design, implementation, and testing. Data is obtained through direct observation, interviews with relevant stakeholders, and literature studies to ensure that the approach used meets the company's needs. The expected outcome of this community service is to demonstrate that the developed information system can significantly improve the company's operational efficiency. This system simplifies the management of sales and stock items and improves the accuracy and speed of data processing. The implementation of the inventory management information system is expected to provide significant benefits for PT Lumasindo Sumber Abadi in daily operations and can serve as a model for other companies facing similar challenges.
Co-Authors Abdul Rozaq Adi Pratomo Ahyati, Inayatul Ulya Alhikami, Noor Muhammad Syifa Almira, Rasyika Raissa Aulia Hasanah , Dini Aulia Rahmi Hairul Anwar Hairul Anwar Hairul Anwar, Hairul Hasany, Julian Fiqri Hesti, Isna Vera Husna Karima Husna, Hizratul Julian Fiqri Hasany Khafizah, Nurul M.Robby Ariyandi - Politeknik Negeri Banjarmasin Misriana , Risni Muhammad Humaidi, Muhammad Muhammad Teguh Nuryadin Muhammad Zaki Azhari Muhammad Zulfadhilah Noor Pratama, Ramadhani Novi Shintia Novi Shintia, Novi Nurul Khafizah Paula Dewanti Prastya, Septyan Eka Pratama, Ramadhani Noor Ramadhani Noor Pratama Rasyika Raissa Almira Rini Amelia, Rini Sabilla, Ghina Azzahra Salma Nanda Syafitri Sya'rawi, Huda Sya’rawi, Huda Trisylvana Azwari