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All Journal BERKALA FISIKA Jurnal Pendidikan Matematika dan IPA Jurnal Teknik Kimia USU Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan Jurnal Transformatika MPI (Media Pharmaceutica Indonesiana) Jurnal Penelitian Pembelajaran Fisika E-Dimas: Jurnal Pengabdian kepada Masyarakat Sinkron : Jurnal dan Penelitian Teknik Informatika JIKO (Jurnal Informatika dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknologi Informasi dan Terapan (J-TIT) Bubungan Tinggi: Jurnal Pengabdian Masyarakat Journal of Intelligent Computing and Health Informatics (JICHI) Jurnal Program Kemitraan dan Pengabdian Kepada Masyarakat ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Pijar MIPA Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Adopsi Teknologi dan Sistem Informasi Unnes Science Education Journal Scientific Journal of Informatics SWAGATI: Journal of Community Service JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah) Berita Biologi
Mega Novita
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Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Analisis Bahan Ajar Fisika Kelas X Berdasarkan Pilar Education for Sustainable Development (ESD) dan Science, Technology, Engineering, Art, and Mathematics (STEAM) Wahyuni, Sri; Novita, Mega; Khoiri, Nur; Roshayanti, Fenny
JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah) Vol. 7 No. 2 (2023): November Edition
Publisher : Universitas Nurul Huda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30599/jipfri.v7i2.2152

Abstract

This study aims to analyze the teaching materials for grade X physics from two important perspectives, namely the ESD (Education for Sustainable Development) pillar and the Science, Technology, Engineering, Art, and Mathematics (STEAM) approach. The research method uses descriptive qualitative research. The population in this study was teaching materials for grade X physics used by teachers in Rembang Regency. The research instrument was a checklist of analysis instruments based on indicators of the Education for Sustainable Development pillars and STEAM components to obtain data. The results of the study found that the teaching materials used had implemented the ESD and STEAM pillars with an average percentage of occurrence of 12% for the socio-cultural pillar, 36% for the environmental pillar, 16% for the economic pillar, 87% in the Science component, 50% in the technology component, 57% in the engineering component, 77% in art, and 40% in the mathematics component. The results show that the implementation of the pillars of ESD and STEAM pillars in teaching books was still low.
Optimization of Papaya Leaf Extract Cream Using Stearic Acid and Triethanolamine via Simplex Lattice Design Siwi, Andini Prabandaru; Priyanto, Widodo; Novita, Mega; Marlina, Dian
MPI (Media Pharmaceutica Indonesiana) Vol. 7 No. 1 (2025): JUNE
Publisher : Fakultas Farmasi, Universitas Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24123/mpi.v7i1.7468

Abstract

Papaya leaves (Carica papaya L.) are known to contain bioactive compounds such as flavonoids, alkaloids, tannins, and saponins, which exhibit antiseptic, anti-inflammatory, antifungal, and antibacterial properties, making them promising for topical pharmaceutical preparations. However, achieving optimal physical characteristics in cream formulations requires careful selection and proportioning of emulsifiers. This study investigates the effect of varying ratios of stearic acid and triethanolamine on the physical properties of creams containing ethanol-extracted papaya leaf extract. The extract was obtained via maceration using 96% ethanol and confirmed to contain active compounds through phytochemical screening and thin-layer chromatography. Eight formulations were developed using a Simplex Lattice Design (SLD) with stearic acid concentrations ranging from 15–17% and triethanolamine from 2–4%. Physical evaluations included tests for pH, viscosity, adhesion, and spreadability. All formulations met standard of cream quality requirements, but the optimal formula was identified at 15.20% stearic acid and 3.79% triethanolamine, offering the most desirable physical characteristics. This formulation strategy demonstrates the potential for producing effective and stable papaya leaf creams, with implications for natural-based dermatological product development. Submitted: 05-05-2025, Revised: 18-06-2025, Accepted: 25-06-2025, Published regularly: June 2025
4Cs Skills in Ecology and Biodiversity Learning: A Study of Junior High School Students’ Profiles in the Digital Era Rukmi, Pramastuti Adiar; Hayat, Muhammad Syaipul; Novita, Mega
Unnes Science Education Journal Vol. 14 No. 1 (2025): April 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/usej.v14i1.19574

Abstract

Post-pandemic, gadgets have become an inseparable part of student life. This gives rise to brainrot which affects students’ critical thinking and creative thinking skills. Gadgets also create an individualistic attitude, causing students to have difficulty communicating and collaborating. Seeing this challenge, students need to be equipped with Critical Thinking, Communication, Collaboration and Creativity (4Cs) skills. This research aims to determine the 4Cs profile of Pelita Nusantara Kasih Surakarta Christian Junior High School students in studying Ecology and Biodiversity. The research method used in this research is descriptive quantitative with multiple choice questions for critical thinking skills, a questionnaire for communication and collaboration skills, and essay questions for creative thinking skills. The research sample was class VII, VIII, and IX students with a total of 150 students as respondents. The sampling technique is cluster random sampling. Data collection techniques using questionnaires and tests. The results show that the critical thinking skills score is 74, the creative thinking skills score is 56, the collaboration skills score is 73, and the communication skills score is 66. The average 4Cs skills score for Pelita Nusantara Kasih Surakarta Christian Junior High School students is 67. The results of this research show that The 4Cs skills of Pelita Nusantara Kasih Surakarta Christian Junior High School students are in the medium category, but for the creative thinking skills need to be improved because they have the lowest score compared to other skills.
IMPLEMENTATION SIMPLE ADDITIVE WEIGHTING METHOD IN DETERMINING FEASIBILITY SACRIFICIAL ANIMALS Saputro, Nugroho Dwi; Waliyansyah, Rahmat Robi; Novita, Mega
Jurnal Transformatika Vol. 20 No. 1 (2022): July 2022
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v20i1.4542

Abstract

Many things from the life sector have used the existence of technology. Where a technology is able to help various problems in various fields such as livestock and agriculture. Computers have been included in it as a tool to do a job or identify existing problems. However, sometimes as a practitioner in the field of animal husbandry, especially qurban animals, they come to the conclusion that it is often found that sacrificial animals in the market that want to be sacrificed do not meet the requirements both in syari ah (law) and health. With the application of determining the feasibility of sacrificial animals according to the Syariah using the web-based Simple Additive Weighting (SAW) method. This system is later expected to be able to determine whether or not a sacrificial animal will be sacrificed so that the community or people who sacrifice are not harmed and the reward for the sacrifice is perfect.
VALIDITY AND EFFECTIVENESS OF ETHNOSCIENCE-BASED CHEMISTRY LEARNING MATERIALS ON REDOX AND CHEMICAL NOMENCLATURE TO ENHANCE STUDENTS"™ SCIENTIFIC LITERACY AND CRITICAL THINKING SKILLS Wahyuni, Sri; Novita, Mega; Hayat, Muhammad Syaipul
Jurnal Pendidikan Matematika dan IPA Vol 16, No 3 (2025): September 2025
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jpmipa.v16i3.92464

Abstract

This study aims to develop and test the validity and effectiveness of ethnoscience-based chemistry learning devices on redox material and chemical compound nomenclature to improve science literacy and critical thinking skills of students. This research uses the 4D development model (Define, Design, Develop, Disseminate). The learning devices developed include teaching modules, learning materials, and student worksheets. The research subjects were 34 class XII students at MAN Wonogiri. The findings show that: (1) The learning devices were declared very valid by expert validators with scores of 91.15% for teaching modules, 91.82% for LKPD, 93.20% for teaching materials, and 22.5 (scale 25) for question instruments, (2) Practitioner validators also declared the devices very valid with scores of 90.72% for teaching modules, 92.73% for LKPD, 94.00% for teaching materials, and 23.5 (scale 25) for question instruments, (3) The reliability and validity tests showed Cronbach Alpha values of 0.749 and 0.921 for science literacy and critical thinking instruments respectively, (4) The learning devices are effective with N-gain values of 0.6103 for science literacy and 0.6501 for critical thinking skills, both in moderate category. The ethnoscience-based learning tools developed are valid and effective to improve students' science literacy and critical thinking skills.
Kuantifikasi Flavonoid dan Analisis Aktivitas Antioksidan Ekstrak Daun Nilam (Pogostemon cablin) Menggunakan Uji DPPH Anggraini, Natasya Dila Putri; Pramukantoro, Ganet Eko; Novita, Mega; Marlina, Dian
Jurnal Teknik Kimia USU Vol. 14 No. 2 (2025): Jurnal Teknik Kimia USU
Publisher : Talenta Publisher (Universitas Sumatera Utara)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jtk.v14i2.20795

Abstract

Patchouli leaves (Pogostemon cablin) are known to contain flavonoid compounds with potential antioxidant properties. However, comparative data on flavonoid content and antioxidant activity across different extract fractions of patchouli leaves remain limited. To address this gap, the present study was conducted to analyze the total flavonoid content and evaluate the antioxidant activity of the ethanol extract and three solvent fractions—n-hexane, ethyl acetate, and wáter using the DPPH method as an indicator of free radical scavenging activity. The extraction was carried out through maceration, followed by fractionation. The determination of flavonoid content employed a colorimetric method based on the aluminum chloride reaction, while antioxidant activity was assessed using the DPPH assay. The results revealed that the ethyl acetate fraction contained the highest flavonoid concentration (1.615 ± 0.0591%) and exhibited very strong antioxidant activity, with an IC₅₀ value of 17.3909 ± 0.1327 μg/mL. These findings suggest that the ethyl acetate fraction holds significant potential as a natural antioxidant agent, with possible applications in the pharmaceutical field or nutraceutical-based health products.
Peningkatan Performa Prediksi Survival Pasien Gagal Jantung Menggunakan Stacking Ensemble Learning Salwa, Faiza Rulla; Novita, Mega; Renaldy, Ramadhan
JURNAL INFORMATIKA DAN KOMPUTER Vol 9, No 3 (2025): Oktober 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiko.v9i3.2126

Abstract

Prediksi kelangsungan hidup pasien gagal jantung merupakan aspek penting dalam mendukung pengambilan keputusan medis secara dini dan tepat. Penelitian ini bertujuan untuk meningkatkan akurasi prediksi kelangsungan hidup pasien gagal jantung dengan menerapkan metode Stacking Ensemble Learning yang menggabungkan tiga base learners, yaitu Decision Tree, Naive Bayes, dan K-Nearest Neighbor, serta menggunakan Support Vector Machine sebagai meta-learner. Dataset yang digunakan adalah Heart Failure Clinical Records dari UCI Machine Learning Repository yang telah melalui proses pra-pemrosesan berupa standardisasi numerik dan pembagian data menggunakan stratified sampling dengan rasio 80:20. Eksperimen dilakukan menggunakan validasi silang (5-fold cross-validation) dan tuning hyperparameter pada meta-learner menggunakan GridSearchCV untuk menemukan kombinasi terbaik dari parameter C dan gamma. Hasil evaluasi menunjukkan bahwa model stacking mampu mencapai akurasi sebesar 98,7% dan F1-score 0,9791, mengungguli semua model tunggal. Keberhasilan ini menunjukkan bahwa strategi penggabungan beberapa model ringan mampu meningkatkan kinerja sistem prediktif secara signifikan, tanpa menambah kompleksitas yang berlebihan. Oleh karena itu, pendekatan ini sangat potensial untuk diterapkan pada sistem pendukung keputusan klinis berbasis data, khususnya dalam konteks prediksi penyakit kronis.
SISTEM INFORMASI GEOGRAFIS PEMETAAN JENIS KEKERASAN TERHADAP PEREMPUAN DI JAWA TENGAH MENGGUNAKAN METODE K-MEANS CLUSTERING Maulana, Novan; Harjanta, Aris Tri Jaka; Novita, Mega
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 13 No 2 (2025): TEKNOIF OKTOBER 2025
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2025.V13.2.77-86

Abstract

Violence against women is a social issue with widespread impacts and remains highly prevalent in Indonesia, including in Central Java Province. The forms of violence include physical, psychological, and sexual abuse, exploitation, neglect, and others. Presenting data in a general form without spatial mapping often makes it difficult to identify regions with high levels of vulnerability. This study aims to cluster regencies/municipalities in Central Java based on types of violence against women by integrating the K-Means Clustering method with Geographic Information Systems (GIS). The data used are records of violence against women in 2024 from 35 regencies/municipalities. The K-Means method was applied iteratively until reaching a convergent condition, resulting in three main clusters. The clustering results were visualized using QGIS software in the form of thematic maps, facilitating the interpretation of spatial patterns. The evaluation shows that spatial classification was successfully applied with a spatial match rate of 100%, and a Silhouette Score of 0.577, indicating a moderately good cluster quality. The majority of regions are included in the low cluster, while only one region is in the high cluster. This study concludes that the combination of K-Means and GIS is effective in detecting and visualizing regional vulnerability to violence against women and has the potential to serve as a basis for developing more targeted and evidence-based protection policies. It is recommended that future research expand the dataset, include additional risk variables, and explore alternative clustering methods or advanced spatial analyses to improve the accuracy and understanding of violence patterns.
Comparative Analysis of Express and Hono Framework Performance in Simple Registration Application Saputro, Anjar Tiyo; Novita, Mega
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 1 (2025): Research Article, January 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i1.14333

Abstract

This research evaluates the performance of two Node.js frameworks, Express and Hono, in developing a simple registration application. This application serves as a backend to store user registration data into a PostgreSQL database using the pg client of the node package manager (npm). The purpose of this performance comparison is to identify the framework that is superior in executing 1 million requests in this scenario. The analysis shows that Express has an average execution time of 26.85% faster than Hono. However, it is inversely proportional to the resource usage, where Hono shows better efficiency with lower CPU and memory usage of 29.29% and 19.97%. These findings provide important insights for developers in choosing a suitable framework based on performance and resource efficiency requirements.
Mental Health Chatbot Application on Artificial Intelligence (AI) for Student Stress Detection Using Mobile-Based Naïve Bayes Algorithm Mariyana, Ekanata Desi Sagita; Novita, Mega; Nur Latifah Dwi Mutiara Sari
Scientific Journal of Informatics Vol. 12 No. 2: May 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v12i2.24307

Abstract

Purpose: This study aims to design and evaluate a chatbot-based artificial intelligence system to identify stress levels in students using the Naïve Bayes classification method. With increasing mental health concerns among students, early stress detection is considered crucial for timely intervention Methods: This study proposes an AI-based chatbot system to detect student stress levels using a comparative approach between Naïve Bayes and Support Vector Machine (SVM) algorithms. A Kaggle dataset with 15 psychological and academic indicators was preprocessed and balanced using SMOTE. Naïve Bayes showed higher accuracy (90%) than SVM (89%). The trained model was deployed via Flask with Ngrok tunneling and integrated into a Flutter mobile app connected to the Gemini AI API for real-time stress screening. This research offers a practical and scalable solution for early mental health detection in students through intelligent chatbot interaction. Result: The findings show that the Naïve Bayes model achieves a classification accuracy of 90%, slightly surpassing the SVM model, which records an accuracy of 89%. Evaluation through ROC and AUC metrics supports the reliability of Naïve Bayes in detecting stress levels. The integrated chatbot offers a responsive and engaging platform for preliminary mental health assessments. Novelty: This research presents a unique contribution by combining AI-driven stress detection with a real-time chatbot interface, offering an accessible and scalable approach to student mental health support. The integration of machine learning models with conversational AI provides an innovative solution for early intervention. Future developments may involve deep learning and more diverse psychological inputs to further improve accuracy and effectiveness.
Co-Authors AA Sudharmawan, AA Amanda, Nathasya Gracya Anggraini, Natasya Dila Putri Aris Tri Jaka Harjanta, Aris Tri Bambang Agus Herlambang, Bambang Desi Purwaningsih Dwi Saputro, Nugroho Eka Setyabudi Febrian Murti Dewanto Febrihastatiwi, Dinda Fenny Roshayanti Ferdy Semuel Rondonuwu Ghani Nurfiana Fadma Sari Hayat, M. Syaipul Hermana, Rifki Hukmi Hukmi, Hukmi Intan Indiati Jubhar Mangimbulude Kusumo, Haryo Latifa, Khoiriya Maetam, Adul Mariyana, Ekanata Desi Sagita Marlina, Dian Maulana, Novan Mawardi, Dimas Putra Muhammad Syaipul Hayat Muniroh Munawar Noora Qotrun Nada Noora Qotrun Nada, Noora Qotrun Nugroho Dwi Saputro Nugroho Dwi Saputro, Nugroho Dwi Nur Hidayat Nur Khoiri Nur Latifah Dwi Mutiara Sari Pramukantoro, Ganet Eko Prasetiyo Prasetiyo Priyanto, Widodo Priyatno, Wawan Puspitasari, Ismi Putri, Cinthiya Ekwinta Renaldy, Ramadhan Rukmi, Pramastuti Adiar Salwa, Faiza Rulla Saputro, Anjar Tiyo Setyoningsih Wibowo Siti Patonah Siwi, Andini Prabandaru Sri Wahyuni Sutomo Sutomo Utami, Tri Wahyu Waliyansyah, Rahmat Robi Wibowo, Aries Setyo