Abstract:This research aims to identify, know, and understand arrangements related to agreements Colocation Data Center between Service Provider Companies and Service Users and arrangements related to service services Colocation…
Data Center in Indonesia. This research uses a normative method with a conceptual approach and a comparative approach sourced from statutory regulations, expert thoughts, and other library materials, supported by interviews, and processed using qualitative data analysis techniques. So we can conclude that the arrangement is related to an agreement Colocation Data Center engender to a new type of agreement because there is a mixture of 2 (two) rental agreements and goods custody agreements which are not recognized in the Civil Code and have not yet been regulated related to services Colocation Data Center in Indonesia. Related to obligations for personal data protection, the position of Service Provider Company is not as a Personal Data Processor due to the hardware on which the data is processed, namely the server not owned by him as reviewed from Law Number 27 of 2022 concerning Protection of Personal Data as well as references for comparative regulations from GDPR and The Digital Personal Data Protection Act. 2023 (No. 22 of 2023).
Abstract:This study aims to describe the effect of a cybergogy-based approach supported by an e-module in fostering students’ digital literacy on the topic of mixture separation. Motivated by the demands of Industry 4.0/Society 5.0…
5.0 and low literacy outcomes (e.g., PISA 2022) as well as preliminary findings at SMP Negeri 1 Bagor—where only 50% of students surpassed the Minimum Mastery Criterion (KKM) of 70 in science—the research employed a pre-experimental one-shot case study design with 32 Grade VIII-D students. Digital-literacy performance was measured through a verified posttest and analyzed descriptively and inferentially. Shapiro–Wilk testing indicated non-normality, so a Wilcoxon test was conducted against the KKM benchmark. The mean posttest score was 82.28 (min 75.00; max 91.66), with average achievement across components of 79% (high category); hypertext navigation was the strongest component (94%, very high), while content evaluation was the weakest (64%, high). The Wilcoxon test yielded Asymp. Sig (2-tailed) < 0.001, indicating a significant improvement relative to the benchmark. These findings suggest that the cybergogy-assisted e-module is effective for cultivating students’ digital literacy in mixture separation, with device-access constraints noted as a practical limitation for future implementations.
Abstract:The excrement of horned beetle (Oryctes rhinoceros (Linn.) Scarabeus.) larvae, namely Kolarhino, in the soil of palm oil (Elaeis guineensis Jacq.) plants contains minerals that can and can improve soil fertility and health.…
th. These larvae contain minerals that can fertilize the soil, such as zinc (Zn), felium (Fe), potassium (K), and phosphorus (P) which are important for plant growth and soil health. Luffa acutangula (L.) Roxb. plants contain many carbohydrates and sources of nutrients needed by microbes to multiply. The mineral content of gambas in the process of local microorganisms for soil fertility is calcium (Ca), phosphorus (P), and felium (Fe) which are very supportive in the process of soil fertility. In this study, the mixture given to Histosol soil is the content of Oryctes rhinoceros (Linn.) Scarabaeus. larvae faeces: Kolarhino and Local Microorganisms (MoL) of Luffa acutangula (L.) Roxb. gave a positive impact on Histosol soil both physically and chemically.
Abstract:This study aims to analyze the vocabulary used in online shop activities on Instagram social media and examine its contribution to Indonesian language learning. Through a qualitative-descriptive approach, data is collected…
lected from uploads and product descriptions on several popular online shop accounts . The results of the analysis show that the vocabulary used reflects a mixture of non-standard Indonesian, foreign absorption (especially English), abbreviations, and popular terms (slang) that are developing in online communities. The collection of data is sourced from 5 (five) Online Shops, namely @omorfoo_shop, @bunoshopp28, @sental.kaos, @akavi.id, and @citracosmetic_id. The contribution to Indonesian learning lies in the potential use of authentic context from social media as teaching materials, especially in learning language diversity, vocabulary development, and language attitudes.
Abstract:Abstract: Obesity is an escalating global health concern, with unhealthy lifestyle patterns contributing significantly to its development. This study aims to evaluate and compare three clustering techniques for categorizing…
ing lifestyle patterns and obesity-related factors: K-Means, Agglomerative Clustering, and Gaussian Mixture Model (GMM). The data used in this study is sourced from the Food Nutrition dataset, which includes variables such as dietary habits, physical activity, and socio-economic status. The three clustering methods were assessed using evaluation metrics such as Silhouette Score, Davies-Bouldin Index (DBI), and Calinski-Harabasz Index (CHI). The findings revealed that K-Means exhibited the best performance in terms of cluster separation with a Silhouette Score of 0.5559, while GMM showed better flexibility in handling more complex data. Although Agglomerative Clustering produced acceptable results, it had a higher overlap between clusters compared to the other methods. This study offers valuable insights into selecting the most appropriate clustering technique based on the data characteristics.
Keywords: agglomerative; clustering; GMM; k-means; lifestyle patterns; obesity
Abstrak: Obesitas menjadi masalah kesehatan yang semakin meningkat di seluruh dunia, dengan pola hidup yang tidak sehat berperan besar dalam perkembangannya. Penelitian ini bertujuan untuk membandingkan tiga metode clustering dalam mengelompokkan pola gaya hidup dan faktor yang memengaruhi obesitas, yaitu K-Means, Agglomerative Clustering, dan Gaussian Mixture Model (GMM). Data yang digunakan diperoleh dari dataset Food Nutrition yang mencakup informasi terkait pola makan, aktivitas fisik, serta faktor sosial-ekonomi. Ketiga metode tersebut diuji dengan menggunakan beberapa metrik evaluasi, seperti Silhouette Score, Davies-Bouldin Index (DBI), dan Calinski-Harabasz Index (CHI). Hasil penelitian menunjukkan bahwa K-Means memiliki kinerja terbaik dalam hal pemisahan klaster, dengan nilai Silhouette Score sebesar 0.5559, sementara GMM lebih fleksibel dalam menangani data yang lebih kompleks. Meskipun Agglomerative Clustering memberikan hasil yang dapat diterima, tumpang tindih antar klaster lebih besar dibandingkan dengan kedua metode lainnya. Penelitian ini memberikan pemahaman yang lebih baik mengenai pemilihan metode clustering yang tepat berdasarkan karakteristik data yang digunakan.
Kata kunci: agglomerative; clustering; GMM; k-means; obesitas; pola gaya hidup
Abstract:Pendidikan berperan penting dalam membentuk kualitas sumber daya manusia di era digitalisasi. Tantangan yang ada pada era digitalisasi adalah bagaimana meningkatkan motivasi belajar mahasiswa dengan solusi digitalisasi pembelajaran…
embelajaran melalui teknologi. Fakultas Teknik Universitas Negeri Yogyakarta memerlukan cara untuk meningkatkan dan mempersiapkan kompetensi mahasiswa terkait keterampilan yang dibutuhkan dalam dunia kerja. Hal itu dikarenakan kurangnya skill yang dimiliki oleh mahasiswa tidak memenuhi kualifikasi yang dibutuhkan sehingga terdapat ketidaksesuaian antara link and match. Untuk mengatasi hal tersebut, penulis memberikan inovasi pembuatan aplikasi ERIN (Engineering Ready Industry). Aplikasi ini merupakan digitalisasi platform yang dirancang berbasis artificial intellegence. Metode penelitian yang digunakan adalah campuran dengan kuantitatif melalui survey pengisian angket dan deskriptif kualitatif dengan studi literatur. Hasil dari survey uji kepuasan didapat nilai 87,2% dari aspek kinerja dan 85,6% dari aspek manfaat. Diharapkan gagasan inovasi ini dapat memberikan bekal dalam mempersiapkan diri untuk meraih kesuksesan karir bagi mahasiswa, alumni, dan industri, tidak hanya di UNY melainkan di universitas lain juga.
Education plays an important role in shaping the quality of human resources in the digitalization era. The challenge in the digitalization era is how to increase student learning motivation with digital learning solutions through technology. The Faculty of Engineering, Yogyakarta State University, needs a way to improve and prepare student competencies related to the skills needed in the world of work. This is because the lack of skills possessed by students does not meet the required qualifications so that there is a mismatch between link and match. To overcome this, the author provides an innovation in creating the ERIN (Engineering Ready Industry) application. This application is a digitalization platform designed based on artificial intelligence. The research method used is a mixture of quantitative through a questionnaire survey and qualitative descriptive with literature studies. The results of the satisfaction test survey obtained a value of 87.2% from the performance aspect and 85.6% from the benefit aspect. It is hoped that this innovation idea can provide provisions in preparing themselves to achieve career success for students, alumni, and industry, not only at UNY but also at other universities.