Universitas Ahmad Dahlan Journal
Not a member yet
5744 research outputs found
Sort by
Pengembangan Fitur Activity Leaderboard pada LMS Moodle sebagai Implementasi Pembelajaran berbasis Gamifikasi
Get PDFPartisipasi aktif peserta didik dalam pembelajaran daring merupakan aspek krusial yang perlu dimonitor dan ditingkatkan. Namun, sistem Learning Management System (LMS) seperti Moodle umumnya hanya menyediakan fitur pelacakan aktivitas secara administratif tanpa memberikan umpan balik yang bersifat motivasional. Penelitian ini bertujuan untuk mengembangkan fitur Activity Leaderboard pada LMS Moodle sebagai strategi implementasi pembelajaran berbasis gamifikasi. Fitur ini mengintegrasikan data aktivitas peserta didik yang mencakup presensi, laporan aktivitas oleh peserta didik, pengumpulan tugas, kuis, partisipasi forum, serta keterlibatan dalam pertemuan daring seperti Zoom meeting. Seluruh data tersebut dikonversi secara otomatis menjadi skor melalui algoritma pembobotan yang mempertimbangkan ketepatan waktu, partisipasi aktif, dan konsistensi keterlibatan. Fitur disajikan dalam bentuk peringkat visual untuk mendorong keterlibatan belajar secara kompetitif. Visualisasi leaderboard ditampilkan secara adaptif menggunakan elemen gamifikasi seperti progress bar, lencana digital, dan peringkat warna gradasi untuk menciptakan prestige effect. Pengembangan sistem dilakukan menggunakan model ADDIE, meliputi analisis kebutuhan pengguna, perancangan antarmuka plugin sebagai modul block, pengembangan integrasi dengan database Moodle, implementasi lokal, serta evaluasi fungsional melalui pengujian black-box. Hasil pengujian menunjukkan bahwa sistem berjalan efisien dengan dukungan cache selama 15 menit, mampu menampilkan hasil secara real-time, serta berpotensi meningkatkan atensi peserta didik terhadap keterlibatannya di LMS. Evaluasi juga menunjukkan keandalan kalkulasi skor, kompatibilitas antarmuka pada berbagai perangkat, serta dukungan konfigurasi yang memudahkan integrasi oleh pengajar. Sistem ini dirancang dengan pendekatan modular agar mudah diperluas dan disesuaikan, sehingga dapat diterapkan dalam berbagai konteks pembelajaran digital. Fitur ini sekaligus menjadi instrumen pendukung dalam membentuk perilaku belajar yang positif dan konsisten
Design and Optimization of a Programmable Logic Controller-Based Monitoring System for Machine Parameters in a Frame Assembly Line
Get PDFThis research addresses the challenge of machine parameter monitoring in the frame assembly line of a motorcycle manufacturing facility. In this process, several machines operate in parallel to integrate key motorcycle components such as engine units, wheels, and body frames. A critical issue identified was that seven machines used standalone controllers that lacked Ethernet communication, limiting real-time monitoring and data acquisition of vital parameters such as status, downtime, and cycle time. To solve this problem, additional programmable controllers were installed using ladder logic programming to retrofit the non-networked machines. These upgrades enabled continuous data transmission and real-time parameter monitoring via a centralized system. The method involved developing a structured architecture capable of collecting, processing, and visualizing machine condition indicators. The research contribution is (1) the successful integration of isolated machines into a unified monitoring network using low-cost PLC retrofitting and (2) the deployment of a register-based monitoring system that supports predictive maintenance through real-time alerts. The system was tested in a live production environment, where more than 80 parameter registers were monitored successfully. Results demonstrated improvements in machine utilization and maintenance response time, with reductions in unplanned downtime and better traceability of machine conditions. The new system improved operational transparency and supported data-driven decision-making for maintenance planning. In conclusion, the implementation of this monitoring system optimized industry 4.0 on the supervision of machine parameters and significantly enhanced production reliability and efficiency in the frame assembly line
Application of Solar Cell on Organic Waste Shredding Machine for Compost Fertilizer Production Especially Manure from Pig Farms: A Case Study in Sustainable Energy Development
Get PDFOrganic waste management in Indonesia faces significant challenges due to the high greenhouse gas emissions produced. In 2020, greenhouse gas emissions from waste management in Indonesia especially the waste sector contributes around 3.2% of total global emissions. The use of organic waste shredders is one solution to minimize waste volume; althought still heavily rely on conventional energy, which is not environmentally friendly. This study aims to evaluate the implementation of solar photovoltaic (PV) technology in organic waste shredding machines to enhance energy efficiency and reduce environmental impacts. An experimental approach was used in this research. Data were collected through measurements of energy generated by the solar cells, energy consumed by the machine, and the organic waste shredding output processed into compost fertilizer. The results showed that use of solar cells could generate an average of 5.8 kWh of energy per day, with machine energy efficiency reaching 72%. Compared to conventional energy, the use of solar cells increased the shredder machine's productivity to 25 kg/hour and reduced greenhouse gas emissions by up to 70%. Additionally, machine operating time increased by 20% compared to machines using conventional energy. This increase is due to the solar cell technology itself. In conclusion, application of solar cell technology in organic waste shredders not only improves operational efficiency but also significantly contributes to carbon emission reduction. The research contribution is to offer concrete solutions that support the achievement of national and global carbon emission reduction targets, as well as creating a waste management model that can be applied in various regions in Indonesia and the world
PENGEMBANGAN DAN EVALUASI GAME EDUKASI BERBASIS ANDROID DENGAN UNITY 3D UNTUK MENINGKATKAN PEMAHAMAN KONSEP PERSAMAAN LINEAR SATU VARIABEL
Get PDFKebanyakan siswa yang didukung dengan teknologi seperti handphone, biasanya cenderung memanfaatkan teknologi tersebut untuk aspek hiburan. Hal ini cukup memalukan, karena kemudahan dalam menggunakan teknologi tersebut seharusnya bisa dimanfaatkan untuk mendukung proses pembelajaran. Terlebih lagi, ternyata banyak pula siswa di tingkat SMA yang mengalami hambatan dalam memahami konsep matematika. Melalui ketersediaan teknologi, seperti handphone dan Unity 3D, diharapkan dapat tercipta sebuah game edukasi yang menyenangkan bagi siswa dan juga efektif dalam meningkatkan pemahaman siswa terhadap konsep matematika yang dianggap memiliki kesulitan. Penelitian ini bertujuan untuk mengembangkan media pembelajaran berbasis game Android menggunakan Unity 3D pada materi Persamaan Linear Satu Variabel (PLSV). Penelitian ini termasuk ke dalam jenis penelitian Research and Development (R&D). Model pengembangan media pembelajaran pada penelitian ini diadaptasi dari model desain instruksional ADDIE. Hasil dari penelitian ini adalah penggunaan media pembelajaran berbasis mobile game android pada materi PLSV dinilai baik dan efektif untuk meningkatkan minat siswa terhadap pembelajaran matematika, sehingga berimplikasi pada peningkatan hasil belajar siswa khususnya dalam materi PLSV
Fragile Hopes, Strong Minds: Self-Regulation and Emotion Regulation as Mediators between Basic Psychological Needs and the Psychological Well-Being of Children in Conflict with the Law
Get PDFChildren in Conflict with the Law (CCL) are a vulnerable group at risk of low psychological well-being due to social stigma, legal pressure, and limited developmental environments. This study aims to examine the influence of Basic Psychological Needs (BPN) on Psychological Well-Being (PWB) in CCL, with Self-Regulation (SR) and Emotion Regulation (ER) as mediating variables. A quantitative approach with a correlational design was used on 214 CCL participants aged 13–17 years who were undergoing developmental programs at the Special Child Development Institution (LPKA) and non-governmental organizations in Surabaya. The research instruments included the BSPWB-A to measure PWB, the BPNSFS for BPN, the Zimmerman model-based self-regulation scale for SR, and the ERQ-CA for ER. Data analysis was conducted using Partial Least Squares-Structural Equation Modeling (PLS-SEM) using SmartPLS 4. The results showed that BPN had a positive and direct effect on PWB (β = 0.366; t = 5.665; p < 0.001). SR significantly mediated the BPN–PWB link (β_indirect = 0.125; t = 3.723; p < 0.001), indicating partial mediation, whereas ER did not mediate the relationship (βindirect = 0.125; t = 3.723; p < 0.001). These findings emphasize the importance of fulfilling basic psychological needs and strengthening self-regulation skills as practical strategies in improving the psychological well-being of CCL.
Antifungal activity of peppermint leaf essential oil (Mentha x piperita l.) against Microsporum gypseum and Microsporum canis
Get PDFDermatophyte infections caused by Microsporum gypseum and Microsporum canis are common health issues affecting humans and animals. Peppermint leaves (Mentha x piperita L.) contain active constituents such as menthol and menthone, known for their antifungal potency. Authentication of Mentha piperita (peppermint) leaf in this study was performed through chemical profiling. The major constituents identified in peppermint essential oil include menthol, pulegone, isopulegol, limonene, and methylene. The purpose of this study was to examine the potency of peppermint leaf distillation essential oil in inhibiting the growth of M. gypseum and M. canis at concentrations of 25%, 12.5%, 6.25%, 3.125%, 1.562%, 0.781%, 0.390%, and 0.195%. Microdilution standard method was used to examine the Minimum Inhibitory Concentration (MIC). Antifungal potency was assessed based on medium turbidity, compared to itraconazole as a positive control. Results showed that peppermint essential oil at a concentration of 6.25% and 1.562% inhibited the growth of M. gypseum and M. canis, respectively. Therefore, peppermint leaf essential oil can be recommended as a natural antifungal agent against M. gypseum and M. canis
Flavonoid synergy in antioxidant optimization: a study of Apium graveolens and Orthosipon stamineus
Get PDFOxidative stress, which arises by an imbalance among the formation of free radicals and the body's antioxidant defenses, is a pivotal factor in the pathogenesis of numerous degenerative abnormalities, comprising cardiovascular abnormality. Flavonoids, that are natural chemicals by antioxidant capabilities, have been identified as potential agents for protection against the adverse impacts of oxidative stress. The objective of this study was to ascertain the flavonoid substance of Apium graveolens and Orthosipon stamineus extracts and their antioxidant activity. The technique comprising qualitative and quantitative phytochemical tests to decide the flavonoid substance of the extracts. In addition, bioactive compounds were screened utilizing LC-HRMS, and antioxidant activity was evaluated utilizing the DPPH technique. The outcomes of this study drawn the presence of flavonoid compounds, alkaloids, tannins, and saponins in the Apium graveolens and Orthosipon stamineus extracts. The Orthosipon stamineus extract was found to contain steroid compounds. The screening of flavonoids compounds utilizing LC-HRMS has drawn the presence of the greatest diversity of flavonoid compounds in the Apium graveolens extract. The antioxidant activity assay employed quercetin as the standard, possessing an IC₅₀ value of 3.95 μg/mL. Apium graveolens extract exhibited an IC₅₀ value of 58.86±0.44μg/mL, Orthosiphon stamineus extract drawn an IC₅₀ value of 61.69±0.21 μg/mL, whereas the combined extract yielded an IC₅₀ value of 46.32±0.34 μg/mL. The outcomes indicate that the extract combination shows superior free radical scavenging ability compared to the individual extracts, suggesting its potential to enhance the antioxidant efficacy of bioactive compounds derived by herbal plants
The Impact of Family Socioeconomic Status on Parental Involvement in Children's Education: Differences between High- and Low-SES Families in Indonesia
Get PDFThis study explores how family socioeconomic status (SES) affects parental involvement in children's education in Indonesia, specifically within home and school environments. Although parental involvement is essential for academic success, differences across SES groups in Indonesia are not yet fully understood. Using data from 160 families representing diverse SES backgrounds, this research employed t-tests and correlational analyses to examine the influence of SES on parental involvement. Results show that families with higher SES exhibit greater involvement in home-based educational activities, while involvement at school remains consistent across different SES levels. Additionally, notable gender differences emerged: mothers from high-SES families were significantly more involved compared to mothers from low-SES families, whereas fathers' involvement did not significantly differ based on SES. Correlational analyses further demonstrated that SES indicators, particularly parental education levels, were strongly associated with home-based involvement but had little relation to school-based involvement. Regression analysis confirmed that SES significantly predicts home involvement but not involvement at school. These findings underscore the importance of providing targeted support to promote home-based parental involvement among low-SES families. Future research should investigate qualitative factors, such as school policies and cultural norms, to better understand their impact on parental involvement
Optimasi Parameter Support Vector Regression (SVR) Menggunakan Algoritma Grey Wolf Optimizer (GWO)
Get PDFPrediksi harga bawang merah merupakan hal penting bagi petani dan pemerintah untuk mengurangi risiko ekonomi dan membuat keputusan yang lebih baik. Penelitian ini bertujuan untuk mengembangkan model prediksi harga bawang merah di Indonesia menggunakan Support Vector Regression (SVR) yang dioptimalkan dengan algoritma Grey Wolf Optimizer (GWO). SVR adalah teknik pembelajaran mesin yang efektif untuk regresi, tetapi mempunyai kesulitan dalam menetapkan parameter optimalnya. Untuk itu, algoritma GWO, yang terinspirasi dari strategi berburu serigala, digunakan untuk mengoptimalkan parameter SVR. Dalam penelitian ini, data harga bawang merah sejak tanggal 1 Januari 2022 sampai 31 Desember 2023 yang diperoleh dari website resmi Pusat Informasi Harga Pangan Strategis Nasional (PIHPS) dikumpulkan dan dianalisis. Hasil penelitian menunjukkan bahwa tingkat eror yang diukur dengan RMSE (Root Mean Square Error) untuk model GWO-SVR diperoleh sebesar 0.062561 sedangkan model SVR sebesar 0.078579. Dapat dilihat bahwa terjadi penurunan nilai RMSE, sehingga dapat dikatakan bahwa algoritma optimasi GWO dapat meningkatkan kinerja dari model SVR
Impact of Black Garlic extract on cardio-renal protection in hypertensive animal models
Get PDFA strong link exists between arterial stiffening and cardiovascular conditions, particularly hypertension. Hypertension, a significant contributor to mortality rates, particularly affects elderly populations. The processed form of Allium sativum, known as black garlic, is renowned for its medicinal properties, including its ability to lower blood pressure. This study examined the blood pressure-lowering effects of black garlic extract, employing male Wistar rats aged two to three months.The experiment involved six distinct rat groups, each comprising of four animals. The two groups served as controls, whereas the remaining four underwent different treatments. Captopril was administered to one group at a dose of 2.5 mg/kg, whilst the remaining three groups were given black garlic extract as BG50, BG100, and BG200. All groups, with the exception of the control normal, underwent a 28-day induction protocol that included 25% fructose in drinking water, cholesterol (200 mg/kg), and propylthiouracil (12.5 mg/kg). The test substances were administered starting on day 14 concurrently with the induction phase. The evaluated parameters included blood pressure, arterial stiffness, nitric oxide (NO) levels, and renal histopathology. Black garlic extract significantly lowered blood pressure, enhanced arterial elasticity, and increased NO levels (p < 0.05) compared with the controls. Renal histopathological analysis revealed protective effects, suggesting prevention of kidney damage. These findings suggest that black garlic may have cardiorenal protective effects and could be useful for managing hypertension and arterial stiffness