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All Journal Jurnal Optimasi Sistem Industri Indigenous: Jurnal Ilmiah Psikologi
Maslakhatul Ainiyah
Universitas Qomaruddin
Humanities Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

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Physiological Signals as Predictors of Mental Workload: Evaluating Single Classifier and Ensemble Learning Models Nailul Izzah; Auditya Purwandini Sutarto; Ade Hendi; Maslakhatul Ainiyah; Muhammad Nubli bin Abdul Wahab
Jurnal Optimasi Sistem Industri Vol. 22 No. 2 (2023): Published in December 2023
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v22.n2.p81-98.2023

Abstract

With a growing emphasis on cognitive processing in occupational tasks and the prevalence of wearable sensing devices, understanding and managing mental workload has broad implications for safety, efficiency, and well-being. This study aims to develop machine learning (ML) models for predicting mental workload using Heart Rate Variability (HRV) as a representation of the Autonomic Nervous System (ANS) physiological signals. A laboratory experiment, involving 34 participants, was conducted to collect datasets. All participants were measured during baseline, two cognitive tests, and recovery, which were further separated into binary classes (rest vs workload). A comprehensive evaluation was conducted on several ML algorithms, including both single (Support Vector Machine/SVM and Naïve Bayes) and ensemble learning (Gradient Boost and AdaBoost) classifiers and incorporating selected features and validation approaches. The findings indicate that most HRV features differ significantly during periods of mental workload compared to rest phases. The SVM classifier with knowledge domain selection and leave-one-out cross-validation technique is the best model (68.385). These findings highlight the potential to predict mental workload through interpretable features and individualized approaches even with a relatively simple model. The study contributes not only to the creation of a new dataset for specific populations (such as Indonesia) but also to the potential implications for maintaining human cognitive capabilities. It represents a further step toward the development of a mental workload recognition system, with the potential to improve decision-making where cognitive readiness is limited and human error is increased.
Raising Children in Times of Change: Parenting and Resilience in an Indus-trializing Coastal Community Maslakhatul Ainiyah; Auditya Purwandini Sutarto; Nailul Izzah; Mohammad Ririn Rosyidi; Rista Bintarawita Megasari
Indigenous: Jurnal Ilmiah Psikologi Vol. 10 No. 3 (2025): November
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/indigenous.v10i3.12978

Abstract

Coastal communities in Indonesia are undergoing rapid transformation due to industrial expansion, yet little is known about how families adapt to such disruptions. This study examines family resilience in Mengare, Gresik, East Java, in the context of environmental decline and exclusion from industrial employment following the Java Integrated Industrial and Ports Estate (JIIPE) development. Using a qualitative approach, data were collected through in-depth interviews with 14 parents and community members and one focus group discussion with six teachers, village officials, and religious leaders. Thematic analysis, guided by Walsh’s family resilience framework and Bronfenbrenner’s ecological systems theory, identified six themes: economic strain and adaptive livelihoods; parenting and family processes; education and skills gap; spirituality as a coping and meaning-making resource; social cohesion and community bonds; and future concerns and uncertainty. Families displayed resilience by reorganizing roles, relying on communal spirituality, and maintaining social cohesion. However, dual pressures constrained these processes: ecological degradation reducing fishing and pond yields, and industrial exclusion limiting access to new employment. Parenting norms emphasized harmony and emotional closeness but provided limited developmental support, while spirituality sustained vertical resilience without equipping families for horizontal adaptation to labor market demands. The findings indicate that resilience in Mengare is present but bounded, anchored in endurance rather than transformation. Policy interventions should prioritize bridging school–industry gaps, strengthening soft skills, and fostering collaboration among households, schools, and local institutions to support adaptive resilience in the face of industrial change
Co-Authors Ade Hendi Auditya Purwandini Sutarto Mohammad Ririn Rosyidi Muhammad Nubli bin Abdul Wahab Nailul Izzah Rista Bintarawita Megasari