Abstract:Steamed sponge cake (bolu kukus) is a widely consumed traditional snack in Indonesia; however, its reliance on refined wheat flour limits its micronutrient and dietary fiber density. Incorporating composite flours from indigenous…
ndigenous crops, such as tropical pumpkin (Cucurbita moschata) and green pea (Vigna radiata L.), offers a promising strategy for nutritional fortification and dietary diversification. This study aimed to evaluate the proximate composition, sensory acceptability, statistical differences, and production cost feasibility of steamed sponge cakes formulated with varying proportions of pumpkin and green pea flours as partial replacements for refined wheat flour. An experimental design was applied using three formulations: AF09 (Control: 100% wheat flour), BW91 (10% pumpkin flour, 20% green pea flour), and CB88 (15% pumpkin flour, 15% green pea flour). Proximate testing measured moisture, ash, protein, fat, crude fiber, and total carbohydrates (by difference). Sensory acceptance (color, aroma, taste, and texture) was evaluated by 50 semi-trained panelists using a hedonic scale. Data were analyzed non-parametrically using Kolmogorov-Smirnov, Kruskal-Wallis, and post-hoc Mann-Whitney tests. All formulations complied with the Indonesian National Standard (SNI 01-3840-1995) for moisture (31.69%–33.74%), total ash (0.66%–1.05%), crude protein (5.80%–6.65%), and crude fat (1.64%–2.82%). Formula CB88 achieved the highest crude fiber content (0.69%) and lower total energy density (269.88 kcal/100 g). Kruskal-Wallis testing indicated statistically significant differences (p<0.05) among formulations for color, taste, and texture, while aroma exhibited no significant variation (p=0.672). Formula CB88 emerged as the optimal treatment, receiving superior sensory acceptance ratings for color (90% liked) and crumb softness (88% liked) driven by natural β-carotene and pectin-moisture gelation. Production cost analysis demonstrated high economic feasibility for CB88 at IDR 3,374 per 55 g serving. Partial substitution with 15% pumpkin flour and 15% green pea flour (Formula CB88) yields a nutrient-dense, fiber-enriched, and cost-effective functional snack suitable for targeted school nutrition and dietary diversification programs.
Abstract:Penelitian ini bertujuan untuk mendeskripsikan peningkatan hasil belajar IPAS materi Harmoni dalam Ekosistem kelas V dengan menggunakan model pembelajaran problem based learning berbatuan media Wordwall. Penelitian tindakan…
kan kelas ini dilaksanakan secara daring dengan menggunakan whatsaap, google meet, dan Wordwall sebagai media evaluasi. Dilaksanakan sebanyak dua siklus dengan di awali terlebih dahulu dengan siklus pra Tindakan. Subyek penelitian berjumlah 30 siswa, Teknik analisis data yang digunakan adalah analisis kuantitatif dan kualitatif. Teknik analisis kuantitatif untuk membandingkan peningkatan hasil belajar peserta didik. Sedangkan kualitatif dilakukan dengan cara membandingkan proses belajar yang dilakukan guru dan peserta didik saat menggunakan model PBL. Teknik pengumpulan data yang digunakan melalui, observasi, angket, dan tes. Berdasarkan ketuntasan hasil belajar pada siklus 1 dan 2 menunjukkan adanya peningkatan ketuntasan, pada siklus 1 presentase yang tuntas 90% tidak tuntas 10% sedangkan pada siklus 2 terdapat 100% tuntas 0 % tidak tuntas. Berdasarkan hasil penelitian tersebut menunjukkan peningkatkan presentase hasil belajar siswa pada pembelajaran sosiologi dengan model pembelajaran Problem Based learning (PBL) berbantuan media Wordwall.
Abstract:This study discusses the effectiveness of the Swallow Nest Tax in increasing Regional Original Revenue (PAD) in Luwu Regency. The research problem focuses on the low realization of tax revenue compared to the set target…
and the suboptimal contribution of the swallow nest tax to PAD. The objective of this study is to analyze the level of effectiveness of the swallow nest tax and the factors influencing it.
This research uses a descriptive qualitative approach with data collection techniques through interviews and documentation. Data analysis was conducted using an elasticity ratio approach and an interactive analysis model. The results show that the swallow nest tax has not been effective in increasing PAD, with an average elasticity value of -0.03% (inelastic) during the 2022–2024 period. The realization of tax revenue is still far below the established target. This condition is influenced by low taxpayer awareness, suboptimal business reporting, limited supervision, and unstable harvest yields. As a result, the tax effectiveness remains low and has not provided a significant contribution to PAD.
Abstract:The expansion of digital financial services has contributed to the increasing adoption of digital wallet applications such as OVO in community transaction activities. In this context, the decision to use an application is…
s determined not simply through system-related technical aspects, alongside psychological and operational considerations. This research focuses on examining the influence of the accounting information system quality, user trust, and service quality on the decision to use the OVO application in Surabaya City. Primary data were used in this study, which employed a quantitative approach. Purposive sampling was applied to obtain 100 respondents. The data were gathered through online questionnaires distributed via Google Forms to OVO users in Surabaya City and then analyzed using SPSS Statistics 26. This study involved respondents who were users of the OVO e-wallet in Surabaya City. The results demonstrate that the quality of the accounting information system, user trust, and service quality contribute positively to the decision to use the OVO application in Surabaya City. The use decision regarding the OVO application in Surabaya City is driven by the interplay of sound system quality, strong user trust, and sufficient service quality.
Abstract:Penggunaan dompet digital yang terus meningkat menghasilkan banyak ulasan pengguna yang dapat dimanfaatkan untuk mengevaluasi kualitas layanan. Penelitian ini bertujuan meningkatkan akurasi klasifikasi sentimen pengguna…
dompet digital menggunakan metode Stacking Ensemble Machine Learning yang mengombinasikan Support Vector Machine (SVM), Multinomial Naïve Bayes (MNB), dan AdaBoost dengan Logistic Regression sebagai meta-learner. Data ulasan diproses melalui tahapan text preprocessing meliputi case folding, cleaning, tokenizing, stopword removal, stemming, dan pembobotan fitur menggunakan TF-IDF. Penyeimbangan data dilakukan dengan SMOTE, sedangkan evaluasi model menggunakan 5-Fold Cross-Validation. Hasil penelitian menunjukkan bahwa model Stacking Ensemble memperoleh akurasi rata-rata 80,55%, lebih tinggi dibandingkan algoritma dasar. Evaluasi menggunakan Confusion Matrix, Classification Report, dan ROC Curve juga menunjukkan peningkatan nilai precision, recall, F1-score, dan kemampuan diskriminasi model. Hasil ini menunjukkan bahwa pendekatan Stacking Ensemble Machine Learning efektif untuk meningkatkan akurasi klasifikasi sentimen pengguna dompet digital serta mendukung evaluasi kualitas layanan berbasis opini pengguna.
The rapid growth of digital wallet usage has generated a large volume of user reviews that can be utilized to evaluate service quality. This study aims to improve the accuracy of digital wallet user sentiment classification using a Stacking Ensemble Machine Learning approach that combines Support Vector Machine (SVM), Multinomial Naïve Bayes (MNB), and AdaBoost with Logistic Regression as the meta-learner. User reviews were processed through text preprocessing stages, including case folding, text cleaning, tokenization, stopword removal, stemming, and TF-IDF feature weighting. Synthetic Minority Over-sampling Technique (SMOTE) was employed to address class imbalance, while model performance was evaluated using 5-Fold Cross-Validation. The experimental results show that the proposed Stacking Ensemble model achieved an average accuracy of 80.55%, outperforming the individual base learners. Furthermore, evaluations based on the Confusion Matrix, Classification Report, and Receiver Operating Characteristic (ROC) Curve demonstrated improvements in precision, recall, F1-score, and the model's discriminative capability. These findings indicate that the proposed Stacking Ensemble Machine Learning approach is effective in improving the accuracy of digital wallet user sentiment classification and can serve as a reliable tool for supporting service quality evaluation based on user opinions.
Abstract:Penelitian ini bertujuan untuk meningkatkan motivasi belajar siswa kelas V SD 28 Rawang pada pembelajaran Bahasa Indonesia melalui penerapan model pembelajaran Game Based Learning (GBL) berbantuan media Wordwall. Metode…
penelitian yang digunakan adalah Penelitian Tindakan Kelas (PTK) yang dilaksanakan dalam empat siklus, dan masing-masing siklus terdiri dari empat pertemuan. Subjek penelitian adalah 28 siswa kelas V. Instrumen penelitian meliputi lembar observasi motivasi belajar, angket motivasi, dan dokumentasi. Hasil penelitian menunjukkan bahwa penerapan model GBL berbantuan Wordwall dapat meningkatkan motivasi belajar siswa secara signifikan. Rata-rata skor motivasi meningkat dari kategori rendah pada siklus I menjadi tinggi pada siklus IV. Dengan demikian, media Wordwall dalam pendekatan GBL efektif untuk meningkatkan motivasi belajar siswa pada mata pelajaran Bahasa Indonesia.
Abstract:This study aims to analyze the effectiveness of using a Smartboard in increasing students' enthusiasm for learning in the Pancasila Education subject in grade V of SDN 07 Mudiak Lawe, Sungai Pagu District, South Solok Regency.…
gency. From initial observations, it was seen that students' enthusiasm for learning tended to be low, as seen from their inactive attitudes, little interaction, and easily distracted when teachers used less diverse learning methods. To address this, a Smartboard was proposed as an innovative solution. This tool is an interactive whiteboard that uses multimedia and audiovisual technology, so it can combine teaching materials with images, videos, and animations to make learning more interesting and diverse. The method used in this study was the correlation method, namely a quantitative method that studies the relationship between the use of Smartboard interactive features and the level of student enthusiasm for learning. The results showed that the use of Smartboard in learning was proven to be able to increase student enthusiasm for learning. After implementing the Smartboard, students appeared more active and enthusiastic during the learning process, so that their enthusiasm for learning increased and reduced boredom. The implementation of Smartboard involves game-based learning methods such as Duck Race Games and Wordwall, which successfully trigger students' curiosity, focus, and enthusiasm, and encourage them to actively participate in answering questions and interacting in class.
Abstract:This study investigated the impact of technology-enhanced Word Wall media on students’ writing skills in an EFL context. The research aimed to determine whether the use of Word Wall as an ICT-integrated learning media could…
could significantly improve students’ writing performance, especially in writing descriptive text. The study employed a pre-experimental design with one group pre-test and post-test. The sample consisted of 20 eleventh-grade students selected from SMA Negeri 8 Padangsidimpuan. The data were collected through writing composition tests and observation during the learning process. The results showed that the students’ writing performance improved after being taught through Word Wall media. The mean score of the pre-test was lower than the post-test mean score, indicating a positive effect of the treatment. The hypothesis test also showed that the use of Word Wall media had a significant impact on students’ writing skills. It can be concluded that technology-enhanced Word Wall media is effective in supporting students’ writing development and creating more interactive and engaging EFL learning.
Abstract:Hypertension is a chronic condition characterized by increased blood pressure on the artery walls, which can lead to serious complications such as stroke, kidney failure, and heart disease. This study aimed to determine…
the effect of deep breathing relaxation techniques on lowering blood pressure in elderly people in Bate Linteng and Lambunot Villages, Aceh Besar. This quantitative study used a pre-experimental design using a one-group pretest-posttest. The study was conducted from August 26 to August 31, 2024, with a population and sample of 16 elderly respondents with a history of hypertension. Data collection was conducted through observation using an observation sheet and the provision of deep breathing relaxation techniques. The results showed that the average blood pressure before the intervention was 148/90 mmHg with a standard deviation of 9.674, while after the intervention, it decreased to 143/87 mmHg with a standard deviation of 9.050. The statistical test results using the Paired Sample t-Test showed a significance value of 0.000 (p < 0.05), indicating a significant effect between deep breathing relaxation techniques and blood pressure reduction. The results of this study are expected to provide information for hypertension sufferers and their families that deep breathing relaxation techniques are a form of non-pharmacological therapy that can be performed independently to control blood pressure.
Abstract:This study aims to determine and analyze the influence of the Theory of Planned Behavior and Financial Literacy on the Intensity of E-Wallet Usage among university students. This research employs a quantitative method. Data…
ata were collected through the distribution of questionnaires to 88 students of the Faculty of Economics and Business at Gorontalo State University and analyzed using SPSS version 25 by conducting validity and reliability tests, classical assumption tests, multiple linear regression analysis, t-test, and F-test. The results show that: (1) the Theory of Planned Behavior has a positive and significant effect on the Intensity of E-Wallet Usage, (2) Financial Literacy has a positive and significant effect on the Intensity of E-Wallet Usage, and (3) both variables simultaneously exert a significant influence. These findings indicate that behavior in using e-wallets is influenced by psychological elements and financial literacy skills Both factors play a crucial role in shaping smart, effective, and responsible digital financial behavior in today's era.