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All Journal JUTEI (Jurnal Terapan Teknologi Informasi) Konstelasi: Konvergensi Teknologi dan Sistem Informasi Pharmaceutical Sciences and Research (PSR)
Santiadi, Sherly
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Computer Science & IT

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Antioxidant Activities of RoJa Herbal Tea: Combination of Rosella Flower (Hibiscus sabdariffa L.) and Ginger Rhizome (Zingiber officinale Rosc.) Widowati, Wahyu; Wargasetia, Teresa Liliana; Zakaria, Teddy Marcus; Gunadi, Michael Sebastian; Halim, Nathanael; Santiadi, Sherly; Kusuma, Hanna Sari Widya; Fauziyah, Nida Firyal
Pharmaceutical Sciences and Research
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Herbal teas and plant-based medicines have been widely used worldwide for their therapeutic and healing qualities. Rosella (Hibiscus sabdariffa L.) has various benefits in preventing digestive problems, liver disease, fever, and others. Ginger (Zingiber officinale Rosc.) or known as jahe in Indonesia is believed to benefit numerous clinical conditions linked to oxidative stress, including pancreatitis, hypertension, diabetic kidney disease, Alzheimer’s disease, and tumor development. They have been utilized in traditional medical practice to treat conditions such as fever, nausea, and headaches. In this study, we aimed to determine the antioxidant activities of rosella flower tea, ginger tea, and a combination of both, namely RoJa (Rosella-Jahe) tea. Antioxidant activities were analyzed by the 2,2-diphenyl-1-picrylhydrazyl (DPPH), hydrogen peroxide (H2O2), 2-2′-Azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) scavenging activities, and Ferric Reducing Antioxidant Power (FRAP) assay, as well as by measuring the amount of total phenolic and flavonoid content. Rosella tea had the greatest activity in the DPPH assay, with an IC50 value of 0.412 mg/ml. Ginger tea had the greatest activity for the ABTS, FRAP, and H2O2 tests, with IC50 values of 12.595 mg/ml, 0.494 mg/ml, and 1.323 mg/ml, respectively. Ginger tea also had the highest amount of total phenolic (3.61 µg GAE/g sample) and flavonoid content (11.81 µg QE/g). In conclusion, ginger tea showed the highest antioxidant activities, as well as total phenolic and flavonoid content, compared to rosella and RoJa tea.
Analisis Perbandingan Moodle dan Google Classroom Menggunakan Technology Acceptance Model Santiadi, Sherly; Majiah, Arya Tri Putra; Ruis, Nisa Deviani Agustin; Annabel, Kathleen Felicia; Karnalim, Oscar
Jurnal Terapan Teknologi Informasi Vol 8 No 1 (2024): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2024.81.288

Abstract

The study aims to analyze the comparison of student acceptance levels of the Learning Management System (LMS) which are Moodle and Google Classroom using the Technology Acceptance Model (TAM) in the West Java region, Indonesia. The results of this study show that there is a difference in the level of acceptance of the two LMSs but the difference is not very significant.  Moodle appears to be slightly more effective in increasing student productivity and is more commonly used in West Java due to the sample of respondents who are mostly from the Faculty of Information Technology (FIT) at Maranatha Christian University. FIT students have largely adopted the Moodle LMS implemented into the Morning Platform (Maranatha Online Learning). With more complex features, Moodle meets the needs of more experienced users. On the other hand, Google Classroom is considered easier to use, especially for students who are new to the LMS. However, over a longer period of time, Moodle maintained a slight edge in terms of usability and user satisfaction. This research makes an important contribution in understanding the preferences and needs of university students in terms of LMS usage, especially in the West Java region.
Analisis Sikap Peserta terhadap Pembelajaran Robotik Santiadi, Sherly; Zakaria, Teddy Marcus
KONSTELASI: Konvergensi Teknologi dan Sistem Informasi Vol. 4 No. 1 (2024): Juni 2024
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/konstelasi.v4i1.9234

Abstract

MBKM Asistensi Mengajar merupakan salah satu program Kampus Merdeka yang diselenggarakan oleh Menteri Pendidikan, Kebudayaan, Riset dan Teknologi, Bapak Nadiem Makarim pada bulan Januari 2020. Kegiatan ini digunakan untuk mendukung mahasiswa agar tidak hanya memiliki kemampuan secara teoritis saja, namun semua ilmu teoritis tersebut dapat diimplementasikan ke dalam ranah implementasi. Kegiatan MBKM Asistensi Mengajar yang dituliskan dalam laporan ini berlokasi di SMAK Yahya, Bandung pada materi pembelajaran Robotika. Untuk mengukur kinerja pembelajaran robotika, dalam laporan ini dipilih Robotic Coding Attitude Scale (RCAS) sebagai instrumen yang akan membantu dalam menilai sikap peserta terhadap pemrograman robotik. Sikap yang dimaksud adalah cara pandang peserta terhadap paradigma pembelajaran pemrograman robotik guna mendapatkan gambaran mengenai keefektifan metode pembelajaran yang telah diterapkan. Metode Robotic Coding Attitude Scale (RCAS) yang digunakan dalam laporan ini telah dimodifikasi agar sesuai dengan tujuan penelitian ini. Dapat disimpulkan bahwa dari hasil perhitungan Structural Equation Modeling (SEM) didapatkan bahwa terdapat hubungan yang signifikan antara konstruk pembelajaran pemrograman robotik dengan partisipasi peserta. BMBKM Asistensi Mengajar is one of the Independent Campus programs organized by the Ministry of Education, Culture, Research and Technology, Mr. Nadiem Makarim in January 2020. This activity is used to support students so that they not only have theoretical abilities, but all theoretical knowledge can be implemented into the realm of implementation. MBKM Asistensi Mengajar activity written in this report is located at SMAK Yahya, Bandung in the Robotics learning material. To measure the performance of robotics learning, in this report, the Robotic Coding Attitude Scale (RCAS) is chosen as an instrument that will help in assessing participants' attitudes towards robotic programming. The attitude in question is the way participants perceive the robotic programming learning paradigm to get an overview of the effectiveness of the learning methods that have been applied. The Robotic Coding Attitude Scale (RCAS) method used in this report was modified to suit the purpose of this study. It can be concluded that from the results of Structural Equation Modeling (SEM) calculations, it is found that there is a significant relationship between the construct of robotic learning and participant participation.
Co-Authors Annabel, Kathleen Felicia Fauziyah, Nida Firyal Gunadi, Michael Sebastian Halim, Nathanael Hanna Sari Widya Kusuma, Hanna Sari Widya Majiah, Arya Tri Putra Oscar Karnalim, Oscar Ruis, Nisa Deviani Agustin Teddy Marcus Zakaria Teresa Liliana Wargasetia WAHYU WIDOWATI