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All Journal Rekayasa Mesin Journal of Educational Chemistry (JEC) Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT)
Mulya, Tri Seda
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Chemistry Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Mechanical Engineering

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KIMI.AR Application for Easier and Interactive Chemistry Learning Irawan, Elysa Nensy; Salman, Fauzie; Putri, Aisyah Aira; Sakti, Rizky Hamdani; Mulya, Tri Seda; Venica, Liptia
Journal of Educational Chemistry (JEC) Vol 5, No 2 (2023)
Publisher : Chemistry Education Department

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jec.2023.5.2.16077

Abstract

Chemistry is a crucial subject since it covers the structure and makeup of the world around us. However, chemistry is frequently cited as a subject that students dislike. Most secondary school pupils believe that chemistry is difficult, uninteresting, and unimportant. Therefore, an improvement in learning technic is needed. An application called KIMI.AR was created in this research. KIMI.AR is a learning media in the form of a mobile-based augmented reality application regarding elements and the formation of chemical reactions that are expected to solve high school students' problems in the chemistry learning process. What makes the KIMI.AR application better than other chemistry learning applications is the focus on the displayed material according to the user's level and displaying descriptions in addition to 3D visualization that students can access through their respective Android devices. So, through the KIMI.AR application, learning chemistry becomes easier and more interesting.
KIMI.AR Application for Easier and Interactive Chemistry Learning Irawan, Elysa Nensy; Salman, Fauzie; Putri, Aisyah Aira; Sakti, Rizky Hamdani; Mulya, Tri Seda; Venica, Liptia
Journal of Educational Chemistry (JEC) Vol. 5 No. 2 (2023)
Publisher : Department of Chemistry Education, Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jec.2023.5.2.16077

Abstract

Chemistry is a crucial subject since it covers the structure and makeup of the world around us. However, chemistry is frequently cited as a subject that students dislike. Most secondary school pupils believe that chemistry is difficult, uninteresting, and unimportant. Therefore, an improvement in learning technic is needed. An application called KIMI.AR was created in this research. KIMI.AR is a learning media in the form of a mobile-based augmented reality application regarding elements and the formation of chemical reactions that are expected to solve high school students' problems in the chemistry learning process. What makes the KIMI.AR application better than other chemistry learning applications is the focus on the displayed material according to the user's level and displaying descriptions in addition to 3D visualization that students can access through their respective Android devices. So, through the KIMI.AR application, learning chemistry becomes easier and more interesting.
DESIGN AND ANALYSIS OF AN AXIAL FLUX PERMANENT MAGNET GENERATORS WIND TURBINE FOR AUTOMATIC STACKING CRANES Maharani, Aisyah Aira Putri; Wahid, Muhamad Rizalul; Gianti, Mahmudah Salwa; Mulya, Tri Seda; Rahayuningtyas , Ari
Jurnal Rekayasa Mesin Vol. 16 No. 1 (2025)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v16i1.1984

Abstract

Automatic Stacking Cranes are indispensable tools in modern ports that can transfer containers between the landside and the waterside. These cranes are powered by electricity and consume significant amounts of energy to meet annual production demands. This substantial electricity consumption often strains the port's power grid during voltage and current fluctuations, which can destabilize the ASC's power supply. Wind turbines offer a promising alternative energy source to address these problems. This study delves into the analysis of the optimal Axial Flux Generator structure for wind turbines and calculates the associated energy losses to determine the feasibility of a wind turbine system capable of supporting the ASC's power demands. The findings reveal that employing an AFG-based wind turbine can generate the required 88,497 Watts of power for the ASC, with an average rotational speed of 1,655 rpm. This represents an annual electricity cost saving for the port of approximately 39,701,029 Rupiah.
Glucose Detection Based on Light Reflection in Modulated Optical Fibers for Continuous Diabetes Monitoring Gianti, Mahmudah Salwa; Fauzi, Ahmad; Wahid, Muhammad Rizalul; Ridwan, Taufik; Mulya, Tri Seda
Journal of Electrical, Electronic, Information, and Communication Technology Vol 6, No 1 (2024): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.6.1.86301

Abstract

Diabetes mellitus is a chronic disease characterized by elevated blood glucose levels. Approximately 463 million adults worldwide have diabetes, and nearly half of them remain undiagnosed. Early diagnosis and treatment of diabetes are crucial to prevent serious complications. Continuous glucose monitoring (CGM) offers numerous advantages over traditional fingertip blood glucose measurements. CGM allows patients to track their glucose levels in real time, identify patterns, and adjust their diet and medication appropriately. This research presents a novel optical fiber-based glucose sensor utilizing the macrobending modulation technique. This method offers several advantages, including ease of use, low cost, and strong signal generation. The sensor exploits the refractive index difference between the glucose solution and the optical fiber. Variations in glucose concentration induce changes in the refractive index, which are converted into voltage signals. The sensor exhibits a sensitivity of 337 mV/decade and demonstrates a linear relationship between the voltage signal and glucose concentration within the range of 0-10 mM. The macro bending-modulated optical fiber sensor shows potential as a simple, cost-effective, and efficient CGM tool. Further research is necessary to enhance the sensor's sensitivity and stability and to evaluate its performance in biological samples.  
Co-Authors Elysa Nensy Irawan Fauzi Ahmad Muda Gianti, Mahmudah Salwa Liptia Venica Maharani, Aisyah Aira Putri Muhammad Rizalul Wahid Putri, Aisyah Aira Rahayuningtyas , Ari Sakti, Rizky Hamdani Salman, Fauzie Taufik Ridwan, Taufik Wahid, Muhamad Rizalul