Universitas Ahmad Dahlan Journal
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PENGEMBANGAN MEDIA PEMBELAJARAN MATEMATIKA MENGGUNAKAN GENIALLY BERPENDEKATAN KONTEKSTUAL PADA MATERI SISTEM PERSAMAAN LINEAR DUA VARIABEL KELAS VIII
No full textPenelitian ini dilatar belakangi oleh kurangnya media pembelajaran matematika yang digunakan pada proses pembelajaran SMP N 1 Bejen, Temanggung. Penelitian ini mengembangkan media pembelajaran matematika pada materi SPLDV menggunakan platform Genially. Tujuan dari penelitian ini yaitu memperoleh media pembelajaran yang valid dan praktis. Model pengembangan yang digunakan adalah model ADDIE (Analysis, Design, Development, Implementation, Evaluasi). Instrumen yang digunakan berupa angket validasi ahli materi, ahli media dan respon peserta didik. Subjek penelitian ini adalah peserta didik kelas VIII SMP N 1 Bejen, Temanggung. Hasil dari penelitian ini adalah sebagai berikut. (1) Produk yang dihasilkan dalam penelitian ini berupa media pembelajaran matematika menggunakan Genially yang memuat materi SPLDV. (2) Berdasarkan uji kevalidan, media pembelajaran dari segi materi memperoleh persentase 84,21% dengan kriteria valid. Sedangkan untuk segi media memperoleh persentase 86,88% dengan kriteria valid. (3) Berdasarkan uji kepraktisan, untuk uji coba kelas kecil memperoleh persentase 87,08% dengan kriteria sangat praktis sedangkan uji coba kelas besar memperoleh persentase 87,07% dengan kriteria sangat praktis. Berdasarkan hasil tersebut dapat disimpulkan bahwa media pembelajaran valid dan praktis digunakan pada proses pembelajaran
Perceptions of Non-Math Students in Learning Mathematics: Understanding the Challenges and Opportunities
Full text linkThis study research on mathematics education, specifically focusing on college students who have a strong dislike for the subject. Employing a qualitative research design and an exploratory strategy, this paper analyzed narratives from 50 college students enrolled in non-mathematics courses using theme analysis. The study, conducted in a private higher education institution offering a Bachelor of Science program in Customs Administration, delved into the practical significance of mathematics in students' daily lives. The discussion section explored the paradox wherein students acknowledged mathematics' value but opted to avoid related courses. It advocated for a curriculum prioritizing practical applications of mathematical principles, emphasizing real-life scenarios to enhance student interest. The findings supported a practical approach to mathematics education to change attitudes and emphasized the significance of matching instructional tactics with students' perceived worth. The journal contributed valuable insights to mathematics education, serving as a resource for educators, researchers, and policymakers to enhance teaching methods and foster a positive learning environment for students of varying mathematical abilities
Correlation Between Mental Health Literacy and Mental Health Status among Health Students
Full text linkMental health constitutes a fundamental and essential component of overall well-being. Particular attention must be given to mental health concerns, especially among vulnerable adolescent populations. Epidemiological data indicate a cyclical rise in the prevalence of mental health problem, which may be mitigated through improved mental health literacy. This study aims to examine the relationship between mental health literacy and mental health status among health students. A cross-sectional survey was conducted involving 380 health students from three health polytechnic institutions. Instruments included the SRQ-20 and the Mental Health Literacy Questionnaire (MHLq-SVa). The findings indicate a statistically significant association between mental health literacy levels and reported symptoms of mental-emotional disorders (p = 0.025). These results underscore the importance of integrating mental health literacy into the health education curriculum to promote early recognition and appropriate help-seeking behaviors.
Exploring Taste: The Influence of Eating Styles on Food Choice Motives
Full text linkThe high prevalence of obesity has made individuals more cautious in choosing food. Many of them are now beginning to consider their physical health, such as maintaining their weight. This study aims to determine the influence of eating patterns on food choice motives. The research method used is quantitative, involving the distribution of questionnaires. The study participants consisted of 206 students in the city of Semarang, and data analysis was conducted using the Multivariate GLM Test. The results of this study indicate that controlled eating patterns influence weight control, external eating patterns influence sensory appeal, but emotional eating patterns don’t influence food choice motives. In conclusion, both eating patterns among students significantly influence food choice motives. Specifically, controlled eating patterns affect weight control, external eating patterns affect sensory appeal, but emotional eating patterns don’t affect both dependent variables (weight control and sensory appeal)
Physical, chemical, and microbiological evaluation of antiaging and antibacterial face serum preparations from gotu kola extracts (Centella asiatica L.)
Full text linkThe amount of air pollution and unhealthy lifestyles can increase the body's free radicals. Gotu kola herb contains asiaticoside, flavonoids, and compounds with antioxidant activity. To evaluation physical, chemical and microbiological formulation serum-gotu kola extract with 10%, 12%, and 14% concentrations. Evaluation concist of organoleptic, physically, chemically, and microbiologically. Organoleptically, the sample had a fresh smell, greenish color, and soft texture, with pH between 5.0-5.5; specific gravity 1.08 g/mL-1.09 g/mL; spreadability 7.0-7.5 cm; stickiness 1.070 more than 2 minutes; viscosity between 1.200-5.100 cP. The antioxidant test DPPH method had an IC50 value 8.79-20.34 ppm, and the FRAP method had an AAE/g of 0.06099-0.08017 mg AAE/g. The phosphomolybdic method had a value of 6.67-23.17 ppm. The antibacterial analysis of serum formulas showed that S. aureus bacteria were more susceptible than E. coli (p<0.05). This indicates that all formulas have more potent inhibition against Gram-positive bacteria. Conclusion The results obtained showed that all formula had antioxidant activity, antimicrobial activity and meets the physical criteria of face serum. Thus the serum formula at a concentration of extract centella 10%, 12%, and 14% can be used to prepare natural serum, which formula 3 (14%) is the best formula
Predictive Modelling for Mental Health Disorders using Machine Learning Techniques
Full text linkThis study evaluates the application of machine learning techniques in improving the prediction and diagnosis of mental health disorders. Traditional diagnostic methods are subjective and time-consuming, necessitating more accurate and efficient alternatives. Using a dataset from the Open-Sourcing Mental Illness survey, this study compares five machine learning algorithms-logistic regression, decision trees, random forests, k-nearest neighbours, and naïve bayes-on mental health prediction tasks. The findings indicate that Naïve Bayes achieves the highest accuracy (82.54%), suggesting its potential for more accurate mental health diagnostics. These results underscore the value of machine learning techniques in enhancing early detection and management of mental health conditions, paving the way for future research into more diverse datasets and ensemble approaches to refine predictive models for clinical application
Klasifikasi Kelayakan Keringanan UKT Menggunakan SMOTE dan Regresi Logistik
Full text linkKeringanan Uang Kuliah Tunggal (UKT) merupakan bantuan finansial bagi mahasiswa dari keluarga berpenghasilan rendah. Namun, proses seleksi penerima sering kali menghadapi tantangan subjektivitas dan ketidakseimbangan data, yang dapat berdampak pada ketepatan keputusan. Penelitian ini bertujuan membangun model klasifikasi untuk memprediksi kelayakan mahasiswa secara objektif menggunakan algoritma Regresi Logistik dan metode penyeimbangan data Synthetic Minority Over-sampling Technique (SMOTE). Penelitian ini menggunakan pendekatan kuantitatif dengan metode supervised learning. Dataset terdiri dari 100 data, yakni 80 data latih dan 20 data uji, dengan distribusi kelas yang tidak seimbang. Evaluasi model dilakukan menggunakan confusion matrix, akurasi, presisi, recall, dan F1-score. Hasil menunjukkan bahwa model tanpa SMOTE memiliki akurasi 91,2%, presisi 95,9%, recall 90,4% dan f1-score berada 93,1%. Setelah penerapan SMOTE, model menunjukkan akurasi meningkat menjadi 92,3% dengan presisi 94,0%, recall tetap stabil di nilai yang sama dengan model latih tanpa smote, dan F1-score mencapai 92,2%. Pada data uji, model mempertahankan kinerja tinggi dengan seluruh metrik evaluasi di atas 90%, menunjukkan kemampuan generalisasi yang baik dan minim overfitting. Penerapan SMOTE terbukti efektif dalam mengatasi ketidakseimbangan kelas dan meningkatkan sensitivitas model terhadap kelas minoritas
Analisis Perbandingan PCA-KNN dan SVM untuk Prediksi Risiko Diabetes
Full text linkDiabetes merupakan penyakit kronis yang sering terlambat terdiagnosis akibat gejala awal yang tidak spesifik, sehingga deteksi dini penting untuk mencegah komplikasi serius. Penelitian ini bertujuan menganalisis dan membandingkan performa kombinasi Principal Component Analysis dengan K-Nearest Neighbor (PCA-KNN) dan Support Vector Machine (SVM) dalam prediksi risiko diabetes. Dataset yang digunakan berasal dari Kaggle dengan 768 entri dan delapan atribut medis. Tahap praproses mencakup imputasi median untuk nilai nol, normalisasi Z-score, serta reduksi dimensi menggunakan PCA pada model KNN yang menghasilkan lima komponen utama dengan varian kumulatif >80%. Nilai k optimal ditentukan melalui 10-Fold Cross Validation dengan hasil terbaik pada k=16. Hasil evaluasi menunjukkan PCA-KNN mencapai akurasi 76,47%, sensitivitas 90,00%, dan spesifisitas 50,94%, lebih baik dibanding KNN standar. Sementara itu, SVM memperoleh akurasi 72,73% dengan spesifisitas tinggi (84,00%) namun sensitivitas rendah (51,85%). Temuan ini mengindikasikan bahwa PCA-KNN lebih sesuai untuk skrining awal karena sensitivitas tinggi, sedangkan SVM dapat digunakan pada tahap konfirmasi berkat spesifisitas yang lebih baik
Identification of Volatile Compounds in Lemon, Local Lemon and Lime Peel Extract Using Gas Chromatography – Mass Spectrometer
Full text linkOrange peel is one of the main sources of essential oil. Lemon orange can also be found in an area of Jambi City, commonly referred to as local lemon, but the shape and characteristics differ slightly from common lemons. The identification results of local lemon peels indicate that these oranges are a cross between lemons and limes (Citrus medica × Citrus aurantifolia). This study aims to analyze and determine the differences in the components of the peels of lemon, local lemon, and lime using gas chromatography–mass spectrometer (GC-MS). The contribution of this research lies in providing scientific data on the chemical composition of local lemon peels, which have not been widely studied, thereby offering potential applications for the development of natural products, essential oil industries, and local biodiversity utilization. This research was conducted by extracting the peels from lemons, local lemons, and limes using acetone as a solvent. The extracts were then analyzed for their components using GC-MS. The GC-MS analysis of acetone extracts from lemon, local lemon, and lime peels revealed 19 compounds in each sample. Four compounds were found to be common across all three samples, namely 2-pentanone, 4-hydroxy-4-methyl; β-bisabolene; bis (2-ethylhexyl) phthalate; and 2H-1-Benzopyran-2-one, 5,7-dimethoxy. Meanwhile, 15 other compounds showed different contents, indicating that the hybrid nature of local lemons influenced their chemical composition. These findings highlight the unique characteristics of local lemon peels and their potential as a valuable source of bioactive compounds
Development and implementation of kintung-based learning media in elementary music education
No full textThe limited availability of contextual and culture-based music learning media in elementary schools restricts students’ understanding of musical concepts and diminishes engagement with local cultural values. This study aims to develop and implement Kintung-based music learning media by utilizing the traditional bamboo musical instrument of the Banjar community to enhance students’ musical skills and cultural appreciation. The research adopted a Research and Development (R&D) design using the ADDIE model, with qualitative techniques embedded in each stage. During the Analysis phase, data were collected through interviews, observations, and documentation of Kintung practices in community and school settings involving musicians, art teachers, and elementary school sudents. The Design and Development stages involved selecting appropriate bamboo materials, cutting and shaping resonant tubes, tuning instruments to the diatonic scale, and preparing instructional materials aligned with learning objectives. The Implementation stage consisted of learning activities structured into preparation, presentation, practice, and performance, through which students learned instrument-playing techniques, rhythmic patterns, and traditional Banjar songs such as Ampar-Ampar Pisang and Ampat Si Ampat Lima. Evaluation results indicate that the media effectively improved students’ technical performance, rhythmic accuracy, ecological awareness, and appreciation of local culture. This study concludes that Kintung-based, music learning media provides a culturally grounded and pedagogically relevant innovation for integrating traditional music into elementary education, supporting students’ musical skill development, and contributing to the preservation of local cultural identity