Tactile texture sensors are designed to evaluate the sensations felt when a human touches an object. Prior studies have demonstrated the necessity for these sensors to have compliant ridges on their surfaces that mimic human fingerprints. These features enable the simulation of contact phenomena, especially friction and vibration, between human fingertips and objects, enhancing the tactile sensation evaluation. However, the ridges on tactile sensors are susceptible to abrasion damage from repeated use. To date, the healing function of abraded ridges has not been proposed, and its effectiveness needs to be demonstrated. In this study, we investigated whether the signal detection capabilities of a sensor with abraded epidermal ridges could be restored by healing the ridges using polyvinyl chloride plastisol as the sensor material. We developed a prototype tactile sensor with an embedded strain gauge, which was used to repeatedly scan roughness specimens. After more than 1000 measurements, we observed significant deterioration in the sensor’s output signal level. The ridges were then reshaped using a mold with a heating function, allowing the sensor to partially regain its original signal levels. This method shows potential for extending the operational lifespan of tactile texture sensors with compliant ridges.

Traditional tactile sensors primarily measure macroscopic surface features but do not directly estimate how humans perceive such surface roughness. Sensors that mimic human tactile processing could bridge this gap. This study proposes a method for predicting macroscopic roughness perception based on a sensing principle that closely resembles human tactile information processing. Humans are believed to assess macroscopic roughness based on the spatial distribution of subcutaneous deformation and resultant neural activities when touching a textured surface. To replicate this spatial-coding mechanism, we captured distributed contact information using a camera through a flexible, transparent material with fingerprint-like surface structures, simulating finger skin. Images were recorded under varying contact forces ranging from 1 N to 3 N. The spatial frequency components in the range of 0.1–1.0 mm⁻¹ were extracted from these contact images, and a linear combination of these components was used to approximate human roughness perception recorded via the magnitude estimation method. The results indicate that for roughness specimens with rectangular or circular protrusions of surface wavelengths between 2 and 5 mm, the estimated roughness values achieved an average error comparable to the standard deviation of participants’ roughness ratings. These findings demonstrate the potential of macroscopic roughness estimation based on human-like tactile information processing and highlight the viability of vision-based sensing in replicating human roughness perception.

Scheduling is a common problem that has been raised for a long time. Many algorithms have been created for this problem. Some algorithms offer flexibility in terms of constraints and complex operations. Because of that complexity, many algorithms will need huge computation resources and execution time. A platform like a web application has many restrictions such as execution time and computation resources. A complex algorithm is not suited for the web application platform. Priority scheduling is a scheduling algorithm based on a priority queue. Every schedule slot will produce a queue based on the constraints. Each constraint will have a different weight. Weight in queue represents their priority. This algorithm provides a light algorithm that only needs a few computations and execution times. The exam schedule is one of many problems in educational institutions. A web application is a popular platform that can be accessed from everywhere. Many educational institutions use web platforms as their main system platform. Web platforms have some restrictions such as execution time. Due to web platform restrictions, priority scheduling is a suitable algorithm for this platform. In this study, the author tries to implement a priority scheduling algorithm in scheduling cases with a website platform and shows that this algorithm solution can be an alternative for solving scheduling cases with low computational resources.

Tactile texture sensors with fingerprint-like ridges gradually degrade under repeated frictional sliding due to abrasion, reducing their classification performance. This study experimentally evaluates how ridge abrasion affects texture classification when vibration signals— captured by a strain-gauge transducer embedded beneath the ridges—are used as input features. Such quantitative data have not been reported previously. Ten surface types, including fabrics and gratings, were used to collect datasets across three abrasion stages: intact, moderately damaged, and severely damaged. Models trained solely on intact data exhibited substantial accuracy loss as abrasion progressed, whereas those trained on combined datasets remained robust. In particular, Fisher Discriminant Analysis achieved the highest texture classification accuracy (75.9%), demonstrating the benefit of incorporating data frommultiple wear stages. Moreover, since the ridges were made of thermoplastic material, a simple heating process enabled ridge healing, restoring classification accuracy to a level comparable to that under the moderately damaged condition. These findings highlight the need for abrasion-aware learning and the potential of tactile sensors with ridge-reshaping capability to sustain long-term performance in texture classification tasks.

Virtual reality (VR), realitas maya, atau realitas virtual adalah teknologi multimedia yang ditujukan agar pengguna dapat merasakan berada pada lingkungan digital yang seolah-olah nyata. Lingkungan yang disimulasikan oleh komputer disebut pula dengan nama computer-simulated environment, yaitu tiruan dari suatu lingkungan sebenarnya atau benar-benar suatu lingkungan yang hanya ada dalam imajinasi. Sekolah Alam Ar-Ridho merupakan sekolah yang berbasis pada explorasi alam sebagai bahan pendidikan dengan konsep penelitian dasar. Pada sekolah ini, siswa dididik memanfaatkan alam sebagai media penelitian dan penggalian ide. Tujuan dari pengabdian masyarakat ini adalah membuat konten virtual reality yang dapat digunakan oleh sekolah Alam Ar-Ridho untuk membantu dalam pengembangan proses belajar mengajar pada sekolah tersebut. Adapun metode yang dilakukan pada pengabdian ini terdiri dari enam tahapan, yaitu 1) Observasi lapangan, 2) Perancangan konten VR, 3) Pembuatan konten VR, 4) Pengujian, 5) Pelatihan SDM, dan 6) Pemeliharaan peralatan. Diharapkan dengan adanya fasilitas Virtual Reality, siswa dapat bereksplorasi lebih jauh dengan mempelajari tanaman yang tidak tersedia di lingkungan sekolah.