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Penggunaan Aplikasi Quizizz Paper Mode Sebagai Media Dalam Evaluasi Pembelajaran Matematika, Dera Karisma Ningsih, Mifdal Zusron Alfaqi, Siti Sadiqyah

Journal of Innovation and Teacher Professionalism

This study aimed to analyze the use of Quizizz Paper Mode as an evaluation medium in mathematics learning. A quantitative descriptive method was used with 28 students as participants. The research instruments included evaluation questions, questionnaires, and structured interviews. The findings showed that Quizizz Paper Mode was effective for evaluating mathematics learning, with an average student score of 78.5 and most scores above 70. Students’ perceptions were highly positive: 80% considered the method easy to use, 85% stated that the questions were clear, and 70% felt more motivated. Teachers also supported its use, noting that Quizizz Paper Mode simplified test …

Penerapan Design Thinking Untuk Membantu Peserta Didik Kelas Iv Mempelajari Bilangan Bulat Dengan Media Quizizz, Rodotul Janah, Rahma Alia Anzani, Rokhiyani Herlina, Titi Hidayah, Fendrix Setya Purnawan, Ignatia Esti Sumarah

Journal of Innovation and Teacher Professionalism

Fourth-grade students need to master integers, particularly multiplication and division operations. This study aimed to assist students who had not yet met the Learning Objective Achievement Criteria (KKTP) through a Design Thinking approach consisting of the empathize, define, ideate, prototype, and testing stages. The approach helped the researchers identify students’ need for digital learning media, leading to the development of a Quizizz-based medium containing 11 matching and multiple-choice questions. The study was conducted in three mentoring sessions. In the first session, students completed a pretest and obtained an average score of 58.6%. The second session provided guidance to strengthen their …

Pengembangan E-Learning Informatika Siswa Kelas Vii Smp, Hikmatul Izzah, Hary Suswanto

Journal of Innovation and Teacher Professionalism

This study aimed to develop e-learning media for Informatics using the ADDIE model, which consists of five stages: analysis, design, development, implementation, and evaluation. A pretest–posttest design was used to measure improvement in student learning outcomes before and after the use of the e-learning medium. First, a learning-needs analysis was conducted to determine the objectives and content to be integrated into the e-learning module. The module was then developed systematically and implemented in the classroom with students serving as trial participants. Effectiveness was measured by comparing students’ pretest and posttest results. The findings showed a significant increase in student achievement, …

Implementasi Nilai Luhur Religius Pada Peserta Didik Smp Di Malang, Fahrina Fahrina, Eko Hajianto Sula, Febi Elvara Aprilia, Dyah Putri Setyaningrum, Atika Nur Almira, Faozan Faozan, Adi Atmoko

Journal of Innovation and Teacher Professionalism

This study aimed to identify and implement religious values among junior high school students in Malang and to evaluate the effectiveness of school programs in developing a religious culture. Character education based on religious values is an integral part of shaping students’ attitudes and behavior in accordance with prevailing social and moral norms. A qualitative descriptive method was used, with data collected through observation, interviews, and documentation of religious activities at school. The findings showed that school programs such as regular recitation of Asmaul Husna, istighosah, congregational prayers, and the practice of smiling, greeting, acknowledging, being polite, and showing courtesy—the …

Implementasi Pembelajaran Berdiferensiasi: Penerapan, Tantangan, Dan Solusi Di Sma Negeri 49 Jakarta, Rodeo Bagus Pratama, Acep Musliman

Journal of Innovation and Teacher Professionalism

This study examined the implementation of differentiated instruction at SMA Negeri 49 Jakarta, focusing on the identification of learning needs, the application of differentiation strategies, the challenges encountered, and the solutions adopted. Using a qualitative descriptive approach, data were collected through observation, interviews, and documentation. Lead teachers used cognitive and non-cognitive diagnostic assessments to group students according to their initial abilities and improve instructional effectiveness. Differentiation was implemented by modifying content, processes, products, and the learning environment. The main challenges included teacher workload, limited facilities, and students’ negative perceptions of grouping. Proposed solutions included the use of social media, appropriately …

The Effect Of Withering Methods On Physicochemical And Sensory Properties Of Liberica Coffee Leaf Tea (Coffea Liberica), Surhaini Surhaini, Indriyani Indriyani, Rahayu Suseno, Rinaldi Rinaldi, Ferry Jie, Huda Wazzan

Research outputs 2022 to 2026

This study aims to evaluate the effect of different withering methods on physicochemical and organoleptic properties of Liberica coffee leaf tea (Coffea liberica) and to identify the optimal treatment. The experiment was conducted using a Completely Randomized Design (CRD) with five withering treatments, including no withering, room temperature withering for 10 h, air withering for 10 h, oven withering at 60°C for 30 min, and steaming for 2 min, each with four replications. The observed parameters included powder moisture content, pH, color (L*, a*, b*), antioxidant activity, total phenols, total tannins, flavonoids, and sensory attributes, namely color, aroma, acidity, taste, …

Effectiveness Of Haptic Feedback Devices In Reducing Pain Perception During Intra-Articular Corticosteroid Injections In Rural Guatemala And Kenya – A Randomized Controlled Trial, Tyler Perleberg, Alfeil Felipe, Carmen Tong, Jordan Konstanty, Gautam Desai

Student Publications

Osteoarthritis (OA) is the most common joint disease worldwide and a leading cause of disability, affecting most individuals by age 65 due to cartilage degradation, eburnation, osteophyte formation, and inflammation. Intra-articular corticosteroid injections (IACIs) are widely used for moderate to severe OA and are especially beneficial in low-resource areas where long-term medications and physical therapy may be inaccessible. However, IACIs can induce substantial pain and anxiety, particularly when anesthetics or imaging guidance are unavailable. Haptic feedback, such as tactile stimulation through handheld vibration devices, has demonstrated the ability to modulate pain perception in clinical settings. As a simple, low-cost method, …

Non-Gastric Mucosa-Associated Lymphoid Tissue Lymphomas: A Narrative Review Of Pathogenesis, Diagnosis, And Treatment Strategies, Humza Mallick, Varun Karri, Samir Dalia

Student Publications

Background and objective: Extranodal marginal zone B-cell lymphomas of mucosa-associated lymphoid tissue (MALT) are indolent non-Hodgkin lymphomas (NHLs) that can arise in various extranodal organs, often due to chronic inflammation. Gastric MALT lymphomas are well characterized; however, MALT lymphomas may occur in diverse sites such as the ocular adnexa, salivary glands, thyroid, lung, skin, and the small intestine. These site-specific MALT lymphomas have distinct etiologic associations, clinical presentation, and management considerations. This review provides an updated, site-specific overview to guide the diagnostic and therapeutic approach to non-gastric MALT lymphoma in adults.

Methods: We reviewed peer-reviewed articles [2015-2025] on non-gastric MALT …

Gas-Flux-Determination-Method Effects On Greenhouse Gas Emissions Andglobal Warming Potential From Soybean In Southeast Arkans, Jonathan B. Brye, Diego Della Lunga, Kristofor R. Brye

Crop, Soil and Environmental Sciences Faculty Publications and Presentations

Greenhouse gas (GHG) research and quantification have increased in importance recently due to climate change. Non-flow-through chamber systems collect large quantities of gas concentration data to determine the gas flux, but gas-flux-determination (GFD) methods can vary between regression models, how negative fluxes are considered, and what agroecosystem is evaluated, which makes selecting an analysis method complicated. The objective of this study was to evaluate the effects of GFD method [i.e. linear (L) and exponential (E) regression models, with negative fluxes (WNF) and with reassigned negative fluxes (RNF)] on GHG fluxes, emissions, and global warming potential (GWP) from soybean (Glycine max) …

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Revised Draft Final 2022 Insufficiently Reclaimed Sites Sampling: Bres No. 32 – Corra 2 Dump Site Evaluation Summary Report (Dated October 24, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Adaptive Retry Solutions For Recurrent Payment Decline Using Generative Artificial Intelligence, Alok Roy, Prajna Shetty, Vinay Sarda, Katyayani Kiranmayee Kolluru

Defensive Publications Series

The present disclosure provides a method and a system for adaptive retry solutions for recurrent payment transactions. The method comprises identifying the reason for decline of recurrent payment transactions, storing the declined transaction and subscribing to the issuer system based on the identified reason. The method further comprises predicting the future timestamp for successful retry attempts for declined recurrent payment transaction based on transaction history, and issuer rules. Furthermore, the method comprises transmitting the notification of predicted timestamp to the user devices and executing the retry attempt for declined recurrent payment transaction in the predicted timestamp. Further, transmitting the status …

Cycle-By-Cycle Current Limit Method For Unregulated Intermediate Bus Converters, N/A

Defensive Publications Series

This publication describes methods and circuits for limiting current in unregulated Intermediate Bus Converters (IBCs). The technology addresses issues related to parallel operation of low-impedance converters, where impedance mismatches can lead to significant current imbalances and transitory current spikes. By utilizing a cycle-by-cycle input charge control mechanism, the system can detect over-current conditions and temporarily increase the switching frequency to clamp the input current. This approach effectively uses the resonant capacitor voltage, which represents the integral of the input current, to trigger switching events. The system may further incorporate frequency compensation to ensure consistent current regulation across varying switching frequencies …

Diagnostic Significance Of Aspartate Transaminase And Alanine Transaminase In Hepatitis C Patients, Mohammed N. Fenjan, Ahmed Abdulhadi Jabbar

AUIQ Conference Proceedings

Background: Hepatitis C infection is spreading worldwide at an alarming rate. Hepatitis C is a viral infection that affects the liver. It is caused by the hepatitis C virus and can lead to liver damage, cirrhosis, and even liver cancer if left untreated. The virus is usually spread through contact with infected blood, such as through sharing needles or receiving a blood transfusion, antiviral medications can be used to treat the infection. AST (aspartate aminotransferase) and ALT (alanine aminotransferase) are enzymes that are primarily found in liver cells. The present study aimed to assess the relationship between liver enzymes aspartate …

Effects Of Different Chitosan Coated Tio2 Nanoparticles Concentrations On The Antibacterial Activities, Ali M. Ghazi, Murtadha H. Hashem, Hyder K. Abbood

AUIQ Conference Proceedings

This study aimed to determine how the composition and antibacterial properties of chitosan-based coating solution when treated with varying amounts of titanium dioxide (TiO2) nanoparticles (NPs). Scanning electron microscopy (SEM) analysis showed that the modified TiO2 NPs were evenly distributed throughout the chitosan matrix. UV-V_spectra, X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FTIR) analyses demonstrated that the chitosan interacted with TiO2 NPs and possessed good compatibility. When tested against Escherichia coli and Staphylococcus aureus, the chitosan-TiO2 nanocomposite proved to be an effective growth inhibitor. The inhibition zone for the antibacterial activity of the chitosan-TiO2 nanocomposites was (19.86 …

Studying The Properties Of Titanium Oxide Nanoparticles Synthesized By Laser Slow Burning Method In Liquid To Remove Heavy Metals, Mohammad R. Hantehzadeh, Elham Darabi, Hossein Algharghouli

AUIQ Conference Proceedings

Water contamination with toxic heavy metals such as lead (Pb²⁺) and cadmium (Cd²⁺) poses serious risks to human health, plants, and ecosystems, making their effective removal a global challenge. Conventional treatment methods often exhibit limited efficiency; therefore, nanotechnology-based approaches are increasingly being explored. In this study, titanium dioxide nanoparticles (TiO₂ NPs) incorporated into polylactic acid (PLA) nanoparticless were synthesized via electrospinning, a simple and cost-effective technique that eliminates the need for harmful chemical reagents. The nanocomposite was characterized using SEM, TEM, EDX, UV–Vis spectroscopy, XRD, FTIR, and TGA analyses. The results demonstrated uniform nanoparticles morphology …

Nanomaterial Strategies For High-Performance Solid-State Batteries Beyond Lithium-Ion, Mahmoud Gharbavi, Salim Albukhaty

AUIQ Conference Proceedings

This is a comprehensive review of nanomaterial strategies for developing solid-state batteries in the future beyond lithium-ion technology. It discusses key challenges such as ionic conductivity, interfacial stability, and scalable manufacturing. Nanomaterials provide the ultimate means to control electrochemical processes at atomic scales, enabling solid-state systems with energy densities above 500 Wh/kg, enhanced safety from non-flammable electrolytes, and longer cycle life.

The review offers an in-depth analysis of advanced manufacturing methods, including suspension plasma spray (SPS), atomic layer deposition (ALD), and nano-level 3D printing for fabricating nanostructured components. Sulfide solid-state electrolytes demonstrate remarkable ionic conductivities of up to 10^{-2 …}

Nanotechnology-Based Non-Vaccine Prevention And Therapeutics: Advances In Antimicrobial Nanomaterials And Targeted Drug Delivery Systems, Yasmina Khane, Salim Albukhaty

AUIQ Conference Proceedings

Infectious diseases represent a massive one-health issue that needs concerted efforts. One of the most important of these efforts involves investing in nanotechnology and the physical, chemical, and biological properties of nanomaterials to contribute to the diagnosis, treatment, and prevention of infectious diseases. Non-vaccine nanotechnology approaches can enhance conventional methods by blocking infection pathways and bolstering the immune system. This review emphasizes two main aspects: nanomaterials with a natural capability to kill microorganisms—focusing on antimicrobial and antiviral actions—and nano-carrier systems for controlled drug delivery, immune modulation, and inflammation management. It details the functioning of these nanomaterials and their applications, before …

Rapid Detection Of Sheep-Specific Clostridium Perfringens Igg Using Silver Nanoparticle-Boosted Dot-Blot Assays, Ahmed Salam Jawad

AUIQ Conference Proceedings

Dot-blot immunoassay is a quick, simple, and low-cost technique for identifying target analytes in food, clinical diagnostics, and the environment with a visual inspection. For this purpose, silver nanoparticles (AgNPs) were synthesized using a sodium borohydride compound. Synthesized AgNPs were characterized using UV-Vs spectroscopy, scanning electron microscope (SEM), X-ray diffraction (XRD), dynamic light scattering (DLS), and zeta potential (ZP) tests. After that, SNPs were conjugated with anti-CLD N4-C. perfringens IgG. At the same time, the positive and negative C. perfringens samples have been determined using ELISA. Furthermore, PCR test was used for verification of C. perfringens. Consequently, dot-blot …

Utilization Of Biochar From Date Palm For Wastewater Treatment Technologies: Mini-Review, Atheel Alwash, Emad Yousif, Salam Mohammed

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

Recently, recycling agricultural waste has gained great importance in the field of the biochar industry, as it is a sustainable and inexpensive material that can be used to get rid of environmentally polluting materials. Dates are one of the major agricultural wastes in Iraq and the Gulf countries, which include fronds, seeds, and trunks. The challenge of obtaining a green and clean environment is represented by the safe disposal of these residues. These wastes are promising materials for producing biochar products as efficient adsorbents with improved characteristic properties. The present article revises the synthesis of biochar derived from date palm …

The Converging Frontiers: 3d Printing Of Polyvinyl Chloride (Pvc) For Environmental Remediation, Hazim F. Abbas, Salam Mohammed, Amamer M. Redwan

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

The global demand for effective environmental cleanup drives the need for innovative materials and techniques. 3D printing, which can produce complex and customized structures, offers promising solutions. PVC, a common, affordable, and durable polymer resistant to chemicals, is increasingly used for environmental applications. This report reviews recent advances in 3D-printed PVC for water purification, air filtration, and waste management. PVC’s strong properties, combined with the flexibility of 3D printing, enable the development of tailored, efficient components such as membranes, adsorbents, and catalytic supports. Technology also encourages a circular economy by recycling PVC waste into new feedstocks and on-demand, eco-friendly infrastructure. …

Smart Universities And Digital Transformation Based On Artificial Intelligence: A Case Of Al-Mustaqbal University, Ahmed Rasol Hasson

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

Artificial Intelligence (A.I) is a key facilitator of universities procedures. Although the performance of AI has stretch out superior levels in developed countries, it is remain in its insufficiency in a lot of the developing nations. In this state, there is an imperative need to determine the important of adopting AI everywhere on Iraqi universities, due to the continuous utilize of a management old-fashioned systems. This research sight to explore applications that may influence the acceptance and adoption of AI in the Iraqi universities. This is achieved based on a qualitative approach of thematic analysis. The AI applications that were …

Experimental Study On Thermal Management Of Conventional Photovoltaic Module Using Hybrid Cooling System, Olufisayo Stephen Babalola, Olatunji Waliu Olademeji, Joseph Bukola Samson

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

Photovoltaic (PV) cell junctions are thermally stressed, occasioned by heightened temperature beyond cell operating temperature threshold. This leads to efficiency diminution, which when properly addressed will change the fortune of PV electricity generation; which is more desired for reasons of clean energy and ubiquity of solar flux. Two 80W monocrystalline PV modules were installed at a tilt angle of 17°, south facing, on a stationary rack on top of Obafemi Awolowo University Physics Building. One module’s back surface had a hybrid cooling and the other as control. The PV modules cell temperatures, the ambient temperature, the solar irradiance and the …

Clinical Pathway Sebagai Solusi Keberlanjutan Jkn Di Indonesia: Systematic Review, Septiana Septiana, Siti Soekiswati, Burhannudin Ichsan

Jurnal Ekonomi Kesehatan Indonesia

The National Health Insurance (JKN) program is threatened with a deficit and potential default in 2026 due to inefficiency and the risk of fraud in healthcare facilities. In the context of JKN, which uses a package system (INA-CBG), Clinical Pathway (CP) is a strategic instrument within the JKN system that has dual benefits for both Payers (BPJS Kesehatan) and Providers (Hospitals). For BPJS Kesehatan, CP primarily functions to ensure service quality and prevent undertreatment fraud, the practice of reducing services to benefit hospitals. This prevention ultimately achieves cost efficiency in the JKN program by avoiding payment of complication claims and …

An Intrusion And Cyber-Attack Detection System Based On Ensemble Machine Learning Techniques, Zaed S. Mahdi, Rana M. Zaki, Negar Majma

The Journal of Engineering Research

In light of advancements in information technology, intrusion detection systems (IDS) and cybersecurity are two of the most pressing concerns confronting the world. Despite the fact that many academics have proposed intrusion detection models, the development of intrusion detection systems must be continuous due to the continual growth of cyber-attacks. This research presents a proposal for an intrusion detection model on the network, based on a machine learning ensemble. The first aim in this work is to reduce the number of features used in training the system to reduce the training time through the Double Feature Selection Method by using …

A New Approach For Key Generation Using Lorenz System And Henon Map, Bahaa Abdulwahid Hameed, Ekhlas K.Gbashi

The Journal of Engineering Research

To protect data transmission from theft and disclosure, encryption is necessary. Secure encryption requires a robust system. Often, this system’s strength depends on its key generation. Chaotic systems are used for the key generation process for some reasons, such as precise and random properties. This paper presents a new approach for key generation using two types of chaos theory: the 3D Henon map and the 3D Lorenz system, to enhance the security of a cryptographic system. The proposed algorithm aims to increase the security of cryptographic algorithms and the generation of random and secure key numbers. The results of the …

Detecting Interpolated Video Frames Based On Convolution Neural Networks, Ayat Razaq Abbas, Ekhlas Falih Naser

The Journal of Engineering Research

These days, films are exchanged often and have established themselves in daily lives due to the growing number of handheld video recording devices, social media, and messaging apps. But with a variety of user-friendly video editing programs available, anyone can manipulate videos. The spread of intentionally altered videos can have serious consequences, such as the propagation of false information. Video frames interpolation is detected in this research.The proposed methodology consists of three phases. In the first phase, the video stream is divided into a series of individual frames. Preprocessing follows, which involves resizing these video frames to fixed dimensions of …

Multi-Biometric Recognition System Based On A Specific Set Of Features, Zahraa Naji Razoqi, Raheem Ogla, Abdul Monem S. Rahma

The Journal of Engineering Research

Biometric techniques are replacing traditional passwords and Personal Identification Numbers since they are more dependable and secure. Unimodal biometric systems have various challenges, including non-universality and noisy data. The systems that use multiple modalities of biometrics can help overcome some of these restrictions, but retrieval and matching processes are time-consuming due to the high-dimensional nature of biometric data. This research proposes a serial multi-biometric recognition system using iris and face models based on only 16 features. Iris features are retrieved after splitting the region of interest into (2 × 2) blocks and computing the mean, standard deviation, and energy values …

Event Triggered Integral Sliding Mode Controller Design For Multi-Input Multi-Output Nonlinear System, Mohammed K. Hamzah, Safanah M. Raafat, Shibly A. Al- Samarraie

The Journal of Engineering Research

In this manuscript, the design of event based Integral Sliding Mode Controller Eb-ISMC is considered for a nonlinear system with perturbation. The proposed controller uses a novel triggering strategy which is established according to some stability requirements. The primary benefit of this strategy is the effective usage of the system resources by reducing the total amount of control computations as compared to the classical or periodic version of ISMC. Closed-loop system stability analysis has shown that the suggested controller achieves the practical sliding mode PSM using the developed triggering control scheme. Moreover, Zeno behaviour is circumvented by developing suitable expressions …

N-Queens Problem Solving Using Apiary Organizational-Based Optimization Algorithm, Mais A. Al-Sharqi, Ahmed T. Sadiq Al-Obaidi, Safaa O. Al-Mamory

The Journal of Engineering Research

Researchers have utilised nature-inspired metaheuristic algorithms to find solutions for complex combinatorial optimisation problems and Non-deterministic polynomial (NP) problems. The N-queens problem is categorised as an NP-Hard problem as it becomes insurmountable for large N. This paper proposed a solution for the N-queens problem based on the Apiary Organisational-Based Optimisation Algorithm (AOOA). AOOA is a nature-inspired metaheuristic optimisation algorithm for NP-Hard problems comprised of multiple beehives inside the apiary, each with its population. In contrast to the backtracking method, AOOA employs a fitness function and randomisation techniques through seven stages to approach the optimal distributions of queens so they don’t …

Phishing Detection Using Data-Driven Intelligence, Ahood Al Darmaki, Ajmal Khan, Muhammad Rizwan Mughal, Mohammed M. Bait-Suwailam

The Journal of Engineering Research

Since the early days of the Internet, phishing attacks have been a serious threat to the security of users and their personal information on the web. This problem raises the need to find a strict solution to minimize the cyber-attacks. This paper explores the application of machine learning models to detect phishing websites by analyzing multiple datasets containing phishing and legitimate website features. In order to evaluate machine learning models, in this study three publicly available phishing datasets were utilized. These datasets have different sizes and features. The performance of the model was evaluated on the basis of accuracy, precision, …