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Tangguh Okta Wibowo
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Gedung Lengkung, Unit 1, Lantai 2, Sayap Timur Sekolah Pascasarjana Universitas Gadjah Mada Jalan Teknika Utara, Pogung, Sleman- Yogyakarta Telp. (0274-564239 extc. 207)
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INDONESIA
Jurnal Teknosains
Published by Universitas Gadjah Mada
ISSN : 20896131     EISSN : 24431311     DOI : https://doi.org/10.22146/teknosains.xxxx
Core Subject : Science, Engineering,
Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Industrial & Manufacturing Engineering Mechanical Engineering
Jurnal Teknosains is a peer-reviewed journal which began publication in 2011, and published each semester in June and December. It is a series of scientific publications in engineering, science and technology area. Jurnal Teknosains aims to encourage research in Science and Technology studies. Topics addressed within the journal include but not limited to: Engineering, which is divided into several topics: Mechanical Engineering, Industrial Engineering, Biomedical Engineering, Chemical Engineering, Nuclear and Physical Engineering, Civil Engineering, and Planology. Basic Sciences, which is divided into: Chemistry and Physics Health Sciences, which is divided into: Medical, Biotechnology specially in Health Science, and Dentistry
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 232 Documents
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Coloration study heat-cured polymer materials for denture base Setiyani, Rezki; Salim, Urip Agus; Mahardika, Muslim; Dharmastiti, Rini; Arifvianto, Budi
Jurnal Teknosains Vol 14, No 2 (2025): June
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/teknosains.104274

Abstract

The color of denture base material is important in dentistry to achieve a natural gingival aesthetic. No universal standard for denture base color, due to it difficult for dentists and dental laboratory technicians to achieve consistent results. This study proposes a method for identifying the color of artificial gums made from heated cure polymers with coloring agents. This study also examined the effect adding color agent on the hardness of denture base material and the effect of artificial saliva immersion on coloring. New coloring agents, namely pink (P), red (M), and purple (U), were added to create new colors in this study. Seven specimens from light to dark colors were made. The resulting specimens were photographed and analyzed using Adobe Photoshop software to obtain the L*, a*, and b* values for each specimen, which were then analyzed using the CIELAB formula. The results of the material hardness test showed a significant change between the immersion and non-immersion groups (p-value 0.00<0.05), while the group between 10-day and 20-day immersion showed no significant change (p-value 0.65>0.05). In materials without added color, the hardness value is 85.3 - 86.3 HSD, while in materials with added color, the hardness value increases to 85.5 - 87.7 HSD. The results of the saliva immersion test showed changes in the range of 2.51 - 5.98 for 10 days of immersion and 0.85 - 4.22 for 20 days of immersion. Based on these results, most of the color changes are still below the clinical acceptance threshold of less than 4.1. Therefore, it can be concluded that the color changes that occur after soaking are still clinically acceptable.
Noise analysis of grinding machine in the material cutting process Dharmastiti, Rini; Wijaya, Andi Rahadyan; Kurniasari, Fitri
Jurnal Teknosains Vol 14, No 2 (2025): June
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/teknosains.105448

Abstract

The handheld grinding machine used for cutting materials has generated noise that may affect the operator and individuals nearby. The noise produced by this machine needs to be analyzed to prevent potential health impacts. This study aims to measure the noise levels the handheld grinding machine generates while cutting materials such as ceramic, metal, and natural stone. Noise measurements were taken at the noise source and distances of 2 meters, 3 meters, and 4 meters from the source. A sound level meter was used for the noise measurements. The study's results indicate that the type of material being cut using the handheld grinder does not significantly affect the noise level produced. The highest noise level was recorded when cutting the plate, with an equivalent continuous sound level (Leq) of 91.6 dB at the source. The lowest noise level was recorded when cutting ceramic material, with a Leq of 89.7 dB. Statistical tests on the distance and measurement locations at 2 meters, 3 meters, and 4 meters from the source showed that the distance does not significantly affect the noise level. At distances of 2 meters and 3 meters, the average Leq for all materials was the same, ata 94.2 dB, while at 4 meters, the average Leq was slightly lower, at 93.9 dB.
Fabrication of single-axis prosthetic foot using 3d printing and resin infusion method Rahmatika S, Devi Dwi; Arifvianto, Budi; Dharmastiti, Rini
Jurnal Teknosains Vol 14, No 2 (2025): June
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/teknosains.105483

Abstract

A prototype of a single-axis prosthetic foot is proposed as an alternative prosthetic foot for patients with disabilities to perform daily activities. Three leading positions within 0-64% of the gait cycle are heel strike, midstance, and toe-off positions used as boundary conditions. The Finite Element Method can analyze a model to determine the values of deformation, stress, and strain that occur in detail. This research is conducted to fabricate an optimal prosthetic foot product or prototype and determine its strength to support the weight of the user's body and provide comfort and safety before being fabricated using 3D printing and resin infusion methods. The fabrication of the prosthetic foot prototype used Fusion 360 software and continued with simulation testing using ABAQUS 6.14 software. The prototype model was designed and evaluated to obtain strength and feasibility before being fabricated with an Anycubic Photon Mono X type DLP 3D printing machine and resin infusion method. The results obtained in this study show that the prototype of a single-axis prosthetic foot can support the human body's weight with loading level P3 or 60 kg, level P4 or 80 kg, and level P5 or 100 kg according to ISO 10328. The mass of the prototype or single-axis prosthetic foot product is 657 grams, according to the criteria, not more than 1.7% of the user's total body weight, with a hardness value of 55.5 HA, and can withstand 50,000 cycles in fatigue testing.
Characterization and mechanical properties of biocomposite of cantula fiber reinforced nano-ha/magnesium/shellac for bone screw material Triyono, Joko; Utami, Dea Pawestry; Rahardjo, Wijang Wisnu; Nugroho, Fransiskus Bima Widi
Jurnal Teknosains Vol 14, No 2 (2025): June
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/teknosains.106420

Abstract

Accidents are a major cause of fractures in Indonesia. One of treatments for fractures is bone screws with support plates that are placed on broken bone. Currently, many biomaterials for bone screws are being developed which have biodegradable properties so that post-operative bone healing is not required. The purpose of this study was to determine the effect of cantula fiber addition on tensile strength, wear rate, and crystallinity of nano-HA/magnesium/Shellac biocomposite for bone screw materials. Nano-HA/magnesium/Shellac/cantula fiber materials were mixed using a blender. The material was mixed with a magnesium/hydroxyapatite ratio of 70/30 and cantula fiber is added with variations of 0%, 10%, 20% and 30% of total volume. After that, the material mixture was compacted with a pressure of 300 MPa for 10 minutes. Then the sintering process was carried out at a temperature of 140 ̊C for two hours. The results showed that the highest tensile strength value was 7.86 MPa at 30% variation. The lowest wear rate was 0.31 x 10-3 mm3/Nm at 30% variation. The highhest crystallinity in XRD observations was obtained at 30% variation, which was 79.65%.
Biocompatibility of metals with osteointegration in bone and dental implants Gita Gita; Ahyar Ahmad; nurul afdalia adam; Nurmasyita Nurmasyita; Eka Pratiwi Tenriawaru; Harningsih Karim Karim
Jurnal Teknosains Vol 15, No 2 (2026): June
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/teknosains.102549

Abstract

Permanent metal implants are widely used in dental, cranio-maxillofacial, and orthopedic rehabilitation due to their ability to restore structural integrity and tissue function through osseointegration, which refers to the direct bond between living bone and the implant surface. This review discusses the interaction between implant metal ions and body tissue structures, with emphasis on their effects on bone regeneration, antibacterial activity, and material biocompatibility. The study was conducted through a literature review of major scientific databases, including ScienceDirect, SpringerLink, MDPI, and PubMed. The findings show that implant success is strongly influenced by material biocompatibility, surface topography, and mechanical stability. Metals such as titanium, magnesium, zinc, calcium, silver, and strontium play important roles in supporting osseointegration and biological tissue responses. Magnesium contributes to bone formation by increasing osteoblast activity and inhibiting osteoclasts, while silver and zinc act as antibacterial and anti-inflammatory agents. Calcium and strontium contribute to enhanced osteogenesis and bone mineral density. These developments are expected to improve implant durability, biocompatibility, and patient safety, while opening opportunities for the development of a new generation of biomedical implants that are more intelligent and adaptive.
Waste evaluation in chocolate powder production using a lean manufacturing approach Jessica Vyanti; Muhammad Kusumawan Herliansyah
Jurnal Teknosains Vol 15, No 2 (2026): June
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/teknosains.109330

Abstract

Nglanggeran Village, located in Gunungkidul Regency, Yogyakarta, has substantial potential for the development of the local cocoa industry. Cocoa production in this village is integrated and managed by Griya Cokelat Nglanggeran, a community-based enterprise that focuses on processing cocoa beans into various derivative products. Despite its strong potential, the production process still faces several inefficiencies, particularly in the cocoa powder manufacturing stage. These inefficiencies hinder productivity and reduce overall process effectiveness. To address these challenges, this study applies the Lean Manufacturing approach, which emphasizes waste reduction and value enhancement throughout the production chain. Specifically, the research utilizes Value Stream Mapping (VSM) and Process Activity Mapping (PAM) to systematically visualize the production flow, identify non-value-added (NVA) activities, and analyze existing sources of waste. In addition, Fishbone Diagram, Failure Mode and Effect Analysis combined with Simple Additive Weighting (FMEA-SAW), and Fault Tree Analysis (FTA) are employed to trace the root causes of inefficiencies and propose prioritized improvement strategies based on risk levels. The findings indicate that, of the entire set of observed production activities, 196 were classified as waste, while only 24 contributed direct value. Among the seven types of waste, motion and transportation were identified as the most dominant, leading to the need for improvements in workspace layout and material handling management. After implementing corrective measures derived from the analytical results, the total duration of NVA activities decreased significantly from 3,059,830 seconds to 261,301 seconds, representing a 76.98% improvement in process efficiency relative to the total production time. These findings demonstrate that the application of Lean Manufacturing tools can significantly optimize cocoa powder production at Griya Cokelat Nglanggeran, while also providing a feasible model for other small-scale agro-industry enterprises seeking sustainable operational efficiency.
Design and usability evaluation of eLok mobile using a user-centered design Muhammad Nizar Ghozali; Rini Dharmastiti
Jurnal Teknosains Vol 15, No 2 (2026): June
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/teknosains.111324

Abstract

eLOK is an e-learning platform based on a Learning Management System (LMS) used at Universitas Gadjah Mada. Currently, eLOK does not yet provide a mobile version that supports flexible access to learning anytime and anywhere. This study aims to design the UI/UX of the eLOK mobile version using a user-centered design approach and to evaluate its usability through the System Usability Scale (SUS). The participants involved in this study were 9 active students of Universitas Gadjah Mada who regularly use the eLOK website. The study identified several interface improvements, including redesigning the login page with the addition of a fingerprint login feature, modifying the menu layout, adding visual icons to the course search menu, introducing icons for assignments, materials, and videos on the course page, adding features for downloading materials and videos, and implementing a previously unavailable chat feature in the eLOK website version. Usability testing using the System Usability Scale produced an average score of 94.4, which falls into the “Best Imagine” category, indicating that the application demonstrates an excellent level of usability and aligns well with user expectations. These findings suggest that eLOK Mobile has strong potential to support more interactive, simulation-based, and practice-oriented learning. Features such as fingerprint login and chat also support user engagement and independent learning. Future development is recommended to integrate multimedia content and real-time communication tools in order to improve effectiveness, accessibility, and user performance in practice-based learning.
ROS, SMOTE, SMOTE-ENN COMPARISON USING GNB and Adaboost Classifiers for Cervical Cancer Imbalanced Dataset Evvin Faristasari; Sirlus Andreanto Jasman Duli; Indri Dwi Agustin; Yuda Paraswistara; Bradika Almandin Wisesa; Vivin Mahat Putri
Jurnal Teknosains Vol 15, No 2 (2026): June
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/teknosains.111431

Abstract

Cervical cancer continues to pose a significant health risk to women, especially when diagnosis occurs at a later stage. Early screening therefore plays an important role in reducing disease progression while increasing the possibility of successful treatment. In recent years, machine learning has been increasingly applied to support disease identification through data classification approaches. This study was conducted to compare the performance of classification models on a cervical cancer dataset by applying three resampling techniques, namely Random Over Sampling (ROS), Synthetic Minority Over-sampling Technique (SMOTE), and SMOTE-ENN, to handle data imbalance. The dataset was obtained from an opensource dataset and underwent several preprocessing stages, including the division of training and testing data, missing value examination, and imputation for incomplete records. Afterward, class distribution was analyzed to confirm the imbalance condition before the resampling process was applied. ROS was implemented by duplicating minority class instances, SMOTE generated synthetic samples through interpolation, while SMOTE-ENN combined oversampling with data cleaning. All experimental scenarios were then evaluated using Gaussian Naive Bayes and AdaBoost Classifier. The findings indicate that Gaussian Naive Bayes combined with ROS produced better recall performance than AdaBoost. This suggests that Gaussian Naive Bayes demonstrates higher sensitivity in identifying positive cases, particularly after minority class representation is improved. The results also emphasize that the evaluation of machine learning models, especially in medical applications, should not rely solely on accuracy but also consider precision and recall obtaining more reliable classification outcomes.
An intraoral abscess incision model made from glove waste: an alternative preclinical learning aid for dentistry Beti Indrawati; Tri Vina Winda Apriliana; Sri Pujiatun; Yosaphat Bayu Rosanto; Ivan Arie Wahyudi
Jurnal Teknosains Vol 15, No 2 (2026): June
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/teknosains.111791

Abstract

Current developments require learning processes to become more dynamic and adaptive. Simulations based on realistic models are known to improve students’ manual skills as well as their confidence when dealing with real clinical cases. However, learning models that fully represent actual clinical conditions remain limited. The development of an intraoral abscess incision model using glove waste as a preclinical learning medium in dentistry offers an innovative approach, not only to reduce costs and medical waste, but also to support a more ecological and sustainable learning process. This study aimed to develop an abscess incision model based on glove waste as a preclinical learning medium in dentistry while supporting efficiency and medical waste reduction. The research method included the sterilization of glove waste, fabrication of a working model using dental stone, and preparation of an abscess substitute using glove waste filled with shampoo and covered with plasticine. Two types of models were developed, consisting of abscesses positioned in different locations and abscesses with variations in large and small sizes. The feasibility of the developed models was then evaluated through surveys that assessed functionality, reproducibility, and user perception, involving dental co-assistants and oral surgery residents who acted as supervisors during simulation sessions and questionnaires. The results indicated that the model was considered effective in improving understanding, knowledge, and skills, with excellent percentages of 70.81%, 62.50%, and 70.81%, respectively. The developed model was considered representative as an abscess incision model, although several improvements are still required. This study demonstrates that an abscess incision model made from glove waste is economical, environmentally friendly, effective, and representative as a learning aid for intraoral abscess incision procedures. The model also successfully improved practitioners’ understanding, knowledge, and skills, and was considered feasible as an alternative to commercially manufactured simulation tools.
The effect of administering ethanolic extract of red lotus stem (nymphaea rubra) on blood sugar levels of mice (mus musculus) Fitri Nuroini; Suci Zahra Salsabila; Ragil Saptaningtyas; Andri Suksesi
Jurnal Teknosains Vol 15, No 2 (2026): June
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/teknosains.112471

Abstract

Metformin, a drug commonly used by patients with diabetes, is known to have major side effects in the form of gastrointestinal intolerance, including bloating, discomfort, diarrhea, and lactic acidosis. Long-term use of metformin (>2 years) may also increase the risk of developing diabetic neuropathy by up to four times. The presence of these side effects calls for natural alternatives with lower risk, one of which is red lotus stem extract (Nymphaea rubra). The compounds contained in red lotus stem extract, such as vitamin C, minerals, phenolic compounds, and flavonoids, are known to have antidiabetic potential. This study aimed to determine the effect of Ethanolic extract of red lotus stem (Nymphaea rubra) on the blood sugar levels of mice (Mus musculus). The research subjects consisted of 25 male white mice (Mus musculus) weighing approximately ±35 g and aged 16 weeks, divided into 5 treatment groups with 5 replications. The mice were induced with alloxan at a dose of 90 mg/kgBW through a single intraperitoneal (i.p.) injection, followed by oral administration of Ethanolic extract of red lotus stem at doses of 200 mg/kgBW and 400 mg/kgBW for 14 days. Blood sugar levels were measured before alloxan induction, after induction, and 14 days after treatment using a spectrophotometer with the GOD-PAP (Glucose Oxidase-Peroxidase Aminoantipyrine) method. The results showed that the average blood sugar levels in groups P1 (200 mg/dL) and P2 (400 mg/dL) were 171.00 mg/dL (hyperglycemia) and 105.00 mg/dL (normal), respectively. Based on the percentage reduction in blood sugar levels, group T1 showed a greater reduction of 37.64% compared with group T2 at 26.31%. In conclusion, the administration of Ethanolic extract of red lotus stem was shown to affect the reduction of blood sugar levels in mice. 

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