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All Journal INOVTEK Polbeng - Seri Informatika TEKAD : Teknik Mengabdi
Fauzan, Mochammad
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Humanities Computer Science & IT Engineering Environmental Science Social Sciences

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Computational Analysis of Student Stress on Social Media using Support Vector Machine and Latent Dirichlet Allocation Fauzan, Mochammad; Ashaury, Herdi; Ramadhan, Edvin
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/8jcvxk45

Abstract

This study develops a two-stage machine-learning framework to identify academic stressors among Indonesian university students using Twitter data. A Support Vector Machine (SVM) classifier was trained on manually annotated tweets and benchmarked against Naïve Bayes, logistic regression, and random forest, achieving an accuracy of 0.91 and a macro F1-score of 0.914, outperforming all baselines. Tweets classified as stress-related with ≥75% confidence were subsequently analyzed using Latent Dirichlet Allocation (LDA), which generated six coherent stressor categories. The framework reveals both structural academic pressures and culturally specific patterns, including references to “dosen killer” and emerging mental-health vocabulary. Contributions include the first Indonesia-focused stressor map derived from large-scale social media discourse and the integration of confidence filtering to enhance topic quality. While results demonstrate the feasibility of social-media–based stress detection, limitations remain regarding temporal drift, annotation bias, and demographic representativeness. Future research should incorporate real-time streaming pipelines, multimodal annotation, and longitudinal evaluation to enhance robustness and early-warning potential.
Use of Fermentation of Rice Wash Water (Oriza Sativa) As Liquid Organic Fertilizer (POC) Meidiana, Christia; Agustin, Imma Widyawati; Sari, Kartika Eka; Syach, Moch. Arsyi Zidan; Mudtiza, Diffa Sausan; Azzahra, Elsa Tri Ramadanti; Ananditya, Fara Nesya; Piscanova, Gressinda; Faradisa, Inaya Mayang; Fauzan, Mochammad; Salsabila, Nadya Paramesti
TEKAD : Teknik Mengabdi Vol. 4 No. 2 (2025)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.tekad.2025.04.2.1

Abstract

Household waste, including residues from daily activities, can negatively impact the environment if not properly managed. This study focuses on household waste management in RT 03 RW 01 Desa Ngadilangkung, Kecamatan Kepanjen, Kabupaten Malang, with the aim of raising awareness and knowledge among the community about the benefits of rice washing water. The methods used include primary surveys through observations and interviews with village officials, the head of RW, the head of RT, and the community. The survey results indicate that most households have not optimally utilized rice washing water, with only 6% of households engaging in processing and 94% not recycling. Socialization efforts were conducted to educate the community on the production of liquid organic fertilizer (POC) from rice washing water, which is expected to improve waste management and more effectively utilize household waste. The outreach results indicate a significant potential for the application of POC in the village, although there remains a need for further education on waste management.
Co-Authors Ananditya, Fara Nesya Ashaury, Herdi Azzahra, Elsa Tri Ramadanti Christia Meidiana Edvin Ramadhan Faradisa, Inaya Mayang Imma Widyawati Agustin Kartika Eka Sari Mudtiza, Diffa Sausan Piscanova, Gressinda Salsabila, Nadya Paramesti Syach, Moch. Arsyi Zidan