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A data analytics driven digital supervision model for enhancing school counselors’ competencies in the era of technological transformation
This study addresses the need to enhance school counselors’ professional competencies through innovative supervision approaches in the era of digital transformation. The study aimed to develop and validate a data analytics-based digital supervision model for school counseling using a mixed-methods design. The quantitative phase involved 150 school counselors whose competencies were measured using a validated scale (Cronbach’s ? = .89). Results showed a significant increase in competency scores f...
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Student academic hardiness: descriptive analysis and its relationship with individual characteristic
Harahap, Ade Chita Putri
; Indreswari, Henny
; Hidayah, Nur
; Setyowati, Arbin Janu
; Ramli, M
; Makhsin, Mardzelah Binti
; Harahap, Dinda Permatasari
; Simarmata, Sari Wardani
This study aims to analyze students' academic hardiness and examine its differences based on individual characteristics as well as its relationship with academic achievement. This research employed a quantitative approach with a descriptive and correlational design. The participants consisted of 103 students selected using accidental sampling. Data were collected using a Likert-scale questionnaire measuring the dimensions of commitment, control, and challenge. Data analysis was conducted using d...
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The effect of spiritual well-being on career anxiety among students
Career anxiety among university students is commonly associated with external factors such as job readiness and environmental pressure. However, the role of internal aspects, particularly spiritual well-being, has not been widely explored. In fact, an individual’s ability to find meaning in life and deal with uncertainty may influence their level of anxiety. This study aims to examine the effect of spiritual well-being on career anxiety among students across different semesters. This study emplo...
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Effect of Printing Speed on the Properties of 3D Printed Products Using Recycled PET Filament
Fitriyana, Deni Fajar
; Agung Efriyo Hadi
; Nugroho Suhodo
; Aldias Bahatmaka
; Januar Parlaungan Siregar
; Tezara Cionita
; Zuhriyan Ash Shiddieqy Bahlawan
; Achmad Yanuar Maulana
Recycled PET has been widely studied for its potential use in 3D printing applications. However, few research has examined how printing speed affects recycled PET filament products' mechanical and physical qualities. This research examines how printing speed influences the physical and mechanical qualities of 3D-printed PET filament goods created from mineral water bottle trash. In this study, filament fabrication is carried out using the homemade pultrusion machine, then the filament is used fo...
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Reinforcement Learning for Personalised Critical Care Treatment using Scalable Parallel Computing
Utomo, Chandra Prasetyo
; Ichikawa, Kohei
; Insani, Nashuha
; Thonglek, Kundjanasith
; Xingyuan, Kang
; Maulani, Chaerita
; Rachmawati, Ummi Azizah
Sepsis is one of the leading causes of death in intensive care units. Many patients do not receive timely or effective treatment, which lowers their chances of survival. We developed a reinforcement learning–based framework to provide personalised treatment recommendations for sepsis patients. The model creates simple patient representations from treatment responses, groups patients with similar patterns, and learns the best treatment policy for each group. To reduce long training time, we use p...
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Comparative Study of Classical and Quantum Machine Learning Models: Insights into Quantum Advantage in Materials Informatics
Quantum Machine Learning (QML) has emerged as a promising paradigm for addressing increasing computational and representational demands in materials informatics. While classical models such as Support Vector Machines (SVM) achieve strong predictive performance, they often struggle to capture complex, highly correlated interactions in high-dimensional materials data. QML addresses this challenge by leveraging quantum-mechanical principles to construct expressive feature embeddings, where prospect...
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A Nonlinear mathematical model of student motivation dynamics with an empirical calibration framework and simulation analysis
Radhiatul Husna
; Angelina Zaskya Hulda
; Indah Rahmadani
; Miftahul Jannah
; Muhammad Zikra
; Najla Nafisa Arsy
; Nanda Putra Kartama
Student learning motivation is a dynamic construct that changes over time in response to support, academic pressure, and fatigue. However, many existing studies examine motivation only at a single point in time or rely on descriptive approaches, limiting their ability to quantify how motivation evolves. This study develops a nonlinear mathematical model of student motivation dynamics and links the model to an empirical calibration framework. The proposed model represents motivation as a bounded...
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Effect of Different Layers on the Performance of Laminate Epoxy Composite Reinforced with Textile Waste
Thomas Junaedi
; Siregar, Januar Parlaungan
; Zalani, Mohamed Reza
; Imran, Al Ichlas
; Tezara Cionita
; Endah Murtiana Sari
; Deni Fajar Fitriyana
; Etanto Heiliano Wijayanto
Post-consumer textile waste poses significant environmental problems, but its potential for commercial recycling remains under-researched. Therefore, this study utilizes calico textile (CT) waste as reinforcement in polymer composites. The effect of layering number of CT in epoxy composite will be investigated. CT was varied with three layers, namely 1, 3, and 5 embedded in epoxy resin with the hand lay-up method in open molding. The mechanical testing of pure epoxy as a control point for tensil...
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Pelatihan Koding dan Kecerdasan Artifisial bagi Guru SD di Sukoharjo sebagai Upaya Peningkatan Literasi Digital di Era Society 5.0
Buletin KKN Pendidikan
Vol 8
, No 1
(2026)
Era Society 5.0 menuntut penguatan literasi digital dan computational thinking sejak pendidikan dasar, namun kesenjangan kompetensi guru di daerah pedesaan masih menjadi tantangan utama dalam implementasinya. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kapasitas guru sekolah dasar dalam mengintegrasikan koding dan kecerdasan artifisial (AI) ke dalam pembelajaran sebagai upaya mendukung peningkatan literasi digital siswa. Kegiatan dilaksanakan di SDN 03 Mulur, Sukoharjo...
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Potential of butterfly pea (Clitoria ternatea) nanoherbal on spermatozoa quality in hyperglycemic rats
Hyperglycemia is a condition characterized by elevated blood glucose levels that induce free radical formation, leading to reduced spermatozoa quality. Butterfly pea (Clitoria ternatea) contains antioxidant compounds and is formulated as a nanoherbal to enhance bioavailability. This study aimed to evaluate the potential of butterfly pea nanoherbal in improving spermatozoa quality in hyperglycemic rats. This experimental study employed a post-test only control group design using 25 male Wistar ra...
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