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Effect of Carbonization Temperature on Pore Formation and Adsorption Ability of Coconut Shell Activated Carbon with KOH Activator anggita, sheilla rully; Prahesti, Arinda Yukashima Putri
Jurnal Fisika dan Aplikasinya Vol 21, No 3 (2025)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v21i3.21624

Abstract

The high adsorption ability of activated carbon can be used in various applications, one of which is as an adsorbent in the water purification process. Coconut shell is one of the materials that can be used as raw material for active carbon due to its high levels of carbon, lignin, cellulose and hemicellulose, and has a large number of pores. Pore formation depends on the temperature, activator, and activation time used. This research aims to form active carbon from coconut shells by varying the carbonization temperature with KOH activator on pore formation and adsorption capacity. Making coconut shell carbon powder is obtained from the carbonization of coconut shells at a temperature variation of 500°C -700°C for 2 hours, then crushed and sieved with a 40 mesh size. The coconut shell carbon powder that has been sifted is then chemically activated by soaking the carbon powder in a 3M KOH activator solution for 24 hours. Next, the activated carbon powder is filtered and rinsed with distilled water (H2O) repeatedly until the pH approaches ±7. The activated carbon was placed in the oven at 120°C for 4 hours. Activated carbon powder was tested using BET for the pore volume and surface area of coconut shell activated carbon and its adsorption capacity for methylene blue dye was tested using a UV-Vis spectrophotometer. The research results show that in general the formation of pores resulting from SEM results increases in number and size as the carbonization temperature increases. The maximum pore volume and surface area obtained at a temperature of 700°C were 2,414 cc/g and 426,692 m2/g respectively. The most optimal adsorption capacity is 3957.15 mg/g at a carbonization temperature of 700°C.
SCALAR INTERACTIONS IN THE MODIFIED LEFT-RIGHT SYMMETRY MODEL Istikomah, Istikomah; Isnawati, Nurul Embun; Sumarti, Heni; Anggita, Sheilla Rully
Jurnal Neutrino:Jurnal Fisika dan Aplikasinya Vol 16, No 1 (2023): October
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/neu.v16i1.20518

Abstract

The Standard Model is a model of particle physics in which one Higgs particle has been confirmed with a mass of 126 GeV. In 2016 some discoveries made it possible to have other scalar particles similar to the Higgs. The modified left-right symmetric model extends the standard model with an expanded scalar sector. There are ϕ_L and Δ_L left sector scalar particles, ϕ_L and Δ_L right sector scalar particles and two singlet η and ξ scalar particles. Therefore, this research objective is to analyze of the possibility of a Higgs interaction with other scalar particles. The method of this research is using a Feynman diagram to describe the interaction terms at the Higgs Potential. The interaction probability is sought using the Feynman rule for Toy Theory. The decay rate uses the Golden Rule. When the universe's temperature reaches the mass of η, the scalar becomes non-relativistic and decays into ϕ_L and ϕ_R. The scalar ξ is scattered into ϕ_L through the η scalar propagator and into ϕ_R. The scalars Δ_L and Δ_R do not decay, they only scatter into ϕ_L and ϕ_R. The η and ξ scalars have transformed into ϕ_L in the left sector and ϕ_R in the right sector, and only ϕ_L in the sectors are likely to be detected as the Higgs Standard Model.
Framework for Early Prediction of Lithium-Ion Battery Lifetime: A Hybrid Quantum-Classical Approach Anggita, Sheilla Rully; Akrom, Muhamad
Journal of Multiscale Materials Informatics Vol. 2 No. 2 (2025): Oktober
Publisher : Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jimat.v2i2.15055

Abstract

Accurately predicting the lifetime of lithium-ion batteries during early charge–discharge cycles remains a significant challenge due to the nonlinear and weakly expressed degradation dynamics in the initial stages of operation. Classical machine learning (ML) models—although effective in pattern recognition—often face limitations in modeling complex correlations within small, high-dimensional datasets. To address these challenges, this study proposes a Hybrid Quantum–Classical Machine Learning (HQML) framework that integrates a Variational Quantum Circuit (VQC) as a quantum feature encoder with a Gradient Boosting Regressor (GBR) as the classical learner. The proposed approach is implemented using the Qiskit Aer simulator on the MIT Battery Degradation Dataset (124 cells, 42 engineered features). By encoding multi-source degradation descriptors (voltage, capacity, temperature, internal resistance) into Hilbert space via amplitude and angle encoding, the HQML model captures intricate nonlinear feature interactions that are inaccessible to conventional kernels. Experimental results demonstrate that the hybrid model achieves an RMSE of 93 cycles and an R² of 0.94, outperforming the best classical baseline (SVM + Wrapper selection, RMSE = 115, R² = 0.90). Furthermore, quantum observables analysis reveals interpretable correlations between entanglement strengths and physical degradation indicators. These results highlight the potential of quantum machine learning as a powerful paradigm for high-fidelity battery prognostics in the early-life regime.
Innovative blood sugar monitoring in Karonsih, Semarang: Bridging comfort and accuracy Hartono; Affa Ardhi Saputri; Sheilla Rully Anggita; Susilawati; Qisthi Fariyani; Jasuri; Ice Uliya Sari
Community Research and Application Journal (CRAJ) Vol. 1 No. 1 (2024): December
Publisher : Konsorsium Pengetahuan Innoscientia (KOPINNOS)

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Abstract

This community service activity aimed to promote health awareness by measuring blood sugar levels among residents of Karonsih, Semarang, using both invasive and non-invasive methods. The project, led by the Physics Department of Universitas Islam Negeri Walisongo in collaboration with the Ngabdi Neliteni Ngabekti (N3) community organization, provided free blood sugar screenings to 19 residents, two of whom showed elevated blood sugar levels and received feedback on lifestyle modifications to help maintain healthy glucose levels. The non-invasive prototype blood sugar monitoring device used in this study showed an average error rate of 47.08% compared to standard invasive measurements, suggesting areas for improvement in accuracy. However, the resident's enthusiasm and the device's environmental benefits indicate the potential for further development. This project underlines the importance of community health education and highlights the role of innovative technology in creating accessible and sustainable health monitoring solutions.
Empowering Academic Excellence: Pre-National Science Olympiad Training for Elementary and Junior High School Students Istikomah; Sheilla Rully Anggita; Hartono; Fadhillah; Siti Nurfadhillah Murtado
Community Research and Application Journal (CRAJ) Vol. 1 No. 2 (2025): June
Publisher : Konsorsium Pengetahuan Innoscientia (KOPINNOS)

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Abstract

This community service activity aimed to enhance students' academic competency and preparedness for the National Science Olympiad (OSN) 2023 in Mathematics and Natural Sciences at elementary and junior high school levels. The program, organized by the Physics Department of Universitas Islam Negeri Walisongo Semarang in collaboration with the Association of Madrasah Science Enthusiasts (Perkumpulan Pegiat Sains Madrasah), was conducted online via Zoom Meeting. The training covered eight comprehensive sessions including Kinematics and Mechanics, Forces, Rotational Dynamics, Oscillations and Waves, Electricity and Magnetism, Solar System, Optics, and Temperature and Heat, along with two simulation sessions. Despite challenges such as network connectivity issues and varying participant readiness levels, the program successfully provided intensive coaching to OSN participants and their supervising teachers from elementary (SD/MI) and junior high school (SMP/MTs) levels. This initiative demonstrates the importance of systematic academic preparation and highlights the role of higher education institutions in supporting K-12 education excellence through collaborative mentoring programs.
Science Coaching for Kompetisi Sains Madrasah (KSM) at Elementary Madrasah Level in Pati District Affa Ardhi Saputri; Sheilla Rully Anggita; Istikomah Istikomah; Della Ayu Puspita; Siti Nurfadhilah Murtado
Community Research and Application Journal (CRAJ) Vol. 2 No. 1 (2025): December
Publisher : Konsorsium Pengetahuan Innoscientia (KOPINNOS)

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Abstract

The Kompetisi Sains Madrasah (KSM) is an important science competition platform for madrasah students in Indonesia, requiring comprehensive preparation for both students and supervising teachers. This community service project aimed to provide science coaching for KSM at the elementary madrasah (MI) level in Pati District, preparing teachers and students for the provincial-level competition. The training was conducted from July 16-27, 2024, through a hybrid format combining online sessions via Zoom and offline sessions at the Ministry of Religious Affairs office in Pati. Sixteen students and five supervising teachers from various madrasah ibtidaiyah in Pati District participated in the program. The training covered comprehensive science topics required for KSM, including mechanics, heat and temperature, solar system, electricity and magnetism, matter and substances, light and optics, forces, energy and energy transformation, and earth and space science. Four instructors from the Physics Department of UIN Walisongo Semarang facilitated the training, with two instructors (Istikomah and Affa Ardhi Saputri) delivering sessions fully online. In contrast, the lead instructor (Sheilla Rully Anggita) conducted both online and offline sessions. The program utilized interactive presentations, question-and-answer discussions, and intensive problem-solving practice to develop participants' conceptual understanding and competitiveness skills. Challenges encountered included limited preparation time, technical issues with equipment during online sessions, and scheduling conflicts that prevented some participants from attending complete sessions. Solutions implemented included thorough equipment testing before sessions, careful time management, and coordination to minimize scheduling conflicts. The training successfully enhanced participants' understanding of KSM requirements and equipped teachers with strategies for ongoing student coaching, demonstrating effective collaboration between higher education institutions and the Ministry of Religious Affairs to support madrasah science education.
Deposisi ZnO Doping Ag pada Substrat Alumunium Foil untuk Degradasi Methylene Blue Sheilla Rully Anggita
Jurnal Teori dan Aplikasi Fisika Vol. 8 No. 1 (2020): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v8i1.236

Abstract

This research has successfully deposited ZnO: Ag on aluminum foil substrates with variations in deposition temperature. The purpose of this study was to obtain the surface morphology of ZnO:Ag on aluminum foil substrates with variations in deposition temperature and obtain optimization of the photocatalytic activity of ZnO: Ag in degrading Methylene Blue dyes. ZnO:Ag deposition on the aluminum foil substrate was carried out by the sol-gel method and spray coating deposition technique. Surface morphology characterization and photocatalytic activity with SEM and with UV-Vis. The surface morphology results obtained from ZnO:Ag on aluminum foil substrate with deposition temperatures of 250 ?, 300 ?, 350 ?, and 400 ? are the forms of ganglia with indications as ZnO and Ag grains attached to ZnO. Obtained surface area and roughness level ZnO:Ag decreases with an increase in temperature from 250 ? - 300 ?, and surface area and roughness increases at 350 ? -400 ?. The highest level of roughness is found in the ZnO layer: Ag temperature 400 ?. The most optimum photocatalytic activity is indicated by the largest percentage of degradation. The highest percentage of degradation is shown by the ZnO: Ag layer with a temperature of 350 ? of 87.33%. This is due to the modification of silver at low temperatures which is <400 ? effective for photocatalytic activity.