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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) PERFORMA : Media Ilmiah Teknik Industri Jurnal Abdimas Kartika Wijayakusuma
Tri Wisudawati
Universitas Jenderal Soedirman
Humanities Computer Science & IT Education Engineering Industrial & Manufacturing Engineering Social Sciences Other

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Edukasi Postur Kerja Ergonomis sebagai Upaya Pencegahan Risiko Muskuloskeletal di Kalangan Pekerja Rumah Tangga Migran Indonesia di Malaysia Tri wisudawati; Artanti Kusuma Ayu
Jurnal Abdimas Kartika Wijayakusuma Vol 7 No 2 (2026): Jurnal Abdimas Kartika Wijayakusuma
Publisher : LPPM Universitas Jenderal Achmad Yani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26874/jakw.v7i2.1428

Abstract

Pembantu Rumah Tangga (PRT) migran Indonesia di Malaysia merupakan kelompok pekerja yang berisiko mengalami gangguan muskuloskeletal karena karakteristik pekerjaan yang manual, repetitif, berdurasi panjang, dan dilakukan dengan postur kerja yang tidak ergonomis. Aktivitas kerja seperti menyapu, mengepel, mencuci, menyetrika, mengangkat beban, serta membersihkan area rendah dan tinggi dapat menyebabkan keluhan pada leher, bahu, punggung, pinggang, dan ekstremitas atas. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pengetahuan, kesadaran, dan keterampilan PRT migran mengenai postur kerja ergonomis sebagai upaya preventif terhadap gangguan muskuloskeletal. Metode yang digunakan meliputi penyuluhan partisipatif, diskusi interaktif, demonstrasi postur kerja yang benar, serta pemberian media edukasi sederhana. Hasil kegiatan menunjukkan peningkatan pemahaman peserta tentang prinsip ergonomi dasar, kemampuan mengidentifikasi postur kerja berisiko, dan perubahan sikap terhadap pentingnya bekerja secara aman dan sehat. Edukasi ergonomi yang aplikatif dan kontekstual terbukti efektif sebagai upaya preventif untuk mengurangi risiko gangguan muskuloskeletal serta mendukung peningkatan kesehatan kerja, kualitas hidup, dan produktivitas PRT migran Indonesia di Malaysia.
Interpretable machine learning for digital soil pH mapping using an optimized AdaBoost algorithm Zakiyyan Zain Alkaf; A’isya Nur Aulia Yusuf; Elsa Sari Hayunah Nurdiniyah; Tri Wisudawati
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 24, No 4: August 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v24i4.27724

Abstract

Soil pH is a fundamental parameter determining nutrient availability, microbial activity, and crop productivity. Unlike previous studies that often prioritize prediction accuracy over explainability, this study proposes an interpretable machine-learning framework integrating hyperparameter optimized adaptive boosting (AdaBoost) with Shapley Additive exPlanations (SHAP) to unravel the spatial drivers of soil pH. A systematic workflow was implemented to evaluate a diverse set of algorithms, followed by Bayesian optimization to fine-tune the best-performing models. The results demonstrated that the optimized AdaBoost model yielded the largest performance improvement (~7.5%), achieving excellent accuracy on independent test data with a coefficient of determination (R²) of 0.817 and a mean absolute error (MAE) of 0.293. Furthermore, SHAP analysis identified iron (Fe) and calcium carbonate (CaCO₃) as the most influential predictors, revealing that Fe exhibits a strong inverse relationship with pH, while CaCO₃ shows a positive association. This framework successfully balances high predictive accuracy with pedological interpretability, offering a robust tool for digital soil mapping and precision agriculture.
Workload Analysis and Determination of Financial Service Employee Requirements using the Full-Time Equivalent Method Rivelia Maryani; Rani Aulia Imran; Katon Muhammad; Tri Wisudawati
Performa: Media Ilmiah Teknik Industri Vol 24, No 1 (2025): Performa: Media Ilmiah Teknik Industri
Publisher : Industrial Engineering, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/performa.24.1.74501

Abstract

Company performance is supported by employee productivity, so an ideal workload is one way to maintain good company performance. PT. XYZ is a company engaged in financial services. Interviews with several employees revealed overlapping work, despite each having their job description. This imbalance in employee workload potentially leads to excessive workloads. This study aims to determine the workload received by PT employees. XYZ and choose the required number of employees based on workload calculations. This study uses the full-time equivalent (FTE) method, which analyzes workload based on employee working time converted into an FTE index value. The results show that 17% of employees have an inload workload, 33% are overloaded, and 50% are underloaded. When evaluated based on the field of work, workload equalization needs to be carried out. The separation of work involves adding two employees in the General and Participant Service division and one employee in the Administration and Membership division and reducing two employees in the Finance and Accounting division. Equalizing the workload needs to be done to help employees be more effective and productive in their work.
Co-Authors Artanti Kusuma Ayu A’isya Nur Aulia Yusuf Elsa Sari Hayunah Nurdiniyah Muhammad, Katon Rani Aulia Imran Rivelia Maryani Zakiyyan Zain Alkaf