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PEMBUATAN TAHU SUSU MENGGUNAKAN KOAGULAN DARI BONGGOL NANAS (Ananas comosus L.) [MANUFACTURING MILK TOFU USING COAGULANTS FROM PINEAPPLE HUMPS (Ananas comosus L.)] Pratama, Ryan; Handayani, Ratna
FaST - Jurnal Sains dan Teknologi (Journal of Science and Technology) Vol. 7 No. 1 (2023): NOVEMBER
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/jstfast.v7i2.6064

Abstract

Bromelain enzyme is a protease enzyme that can coagulate casein in milk. The use of pineapple waste, namely pineapple humps, can be used as a coagulant in making milk tofu. This research aimed to determine the best bromelain enzymes from two types of pineapple humps based on protein content and enzyme activity, as well as to analyzed the effect of bromelain enzyme crude extract concentration as a coagulant in making tofu with different heating temperatures. In phase I of the research, crude extract of bromelain enzymes was isolated and analyzed by yield, protein content, and enzyme activity. In phase II, milk tofu was made using a crude enzyme extract concentration of 0.50%; 1,00%; and 1.50% with a clotting temperature of 60 oC and 80 oC which were then analyzed by yield, water content, fat content, ash content, protein content, color and texture. The results of phase I analysis showed that the best type of humps was Queen pineapple humps with protein content of 0.12 ± 0.007 µg/ml and activity of 76.27 ± 4.43 U/ml, subsequently the humps were used for phase II analysis. The best treatment from phase II research was a crude enzyme extract concentration of 1.0% and a clotting temperature of 80oC with a yield value of 24.27 ± 0.01%, a moisture content of 68.89 ± 3.30% and a protein content of 4.64 ± 0.008%. Bahasa Indonesia Abstract:Enzim bromelin merupakan enzim protease yang dapat menggumpalkan kasein pada susu. Penggunaan limbah nanas yaitu bonggol nanas dapat digunakan sebagai koagulan dalam pembuatan tahu susu. Penelitian ini bertujuan untuk menentukan ekstrak kasar enzim bromelin terbaik dari dua jenis bonggol nanas berdasarkan kadar protein dan aktivitas enzimnya, serta untuk menganalisis pengaruh konsentrasi ekstrak kasar enzim bromelin sebagai koagulan dalam pembuatan tahu dengan suhu pemanasan yang berbeda. Pada penelitian tahap I dilakukan ekstrak kasar enzim bromelin diisolasi dan dianalisis secara rendemen, kadar protein, dan aktivitas enzim. Pada tahap II dilakukan pembuatan tahu susu menggunakan konsentrasi ekstrak kasar enzim 0,50%; 1,00%; dan 1,50% dengan suhu penggumpalan 60 oC dan 80 oC yang selanjutnya dianalisis secara rendemen, kadar air, kadar lemak, kadar abu, kadar protein, warna dan tekstur. Hasil analisis tahap I menunjukkan bahwa jenis bonggol terbaik adalah bonggol nanas Queen dengan kadar protein 0,12 ± 0,007 µg/ml dan aktivitas 76,27 ± 4,43 U/ml, selanjutnya bonggol tersebut digunakan untuk analisis tahap II. Perlakuan terbaik dari penelitian tahap II adalah konsentrasi enzim 1,0% dengan suhu penggumpalan 80 oC dengan nilai rendemen 24,27 ± 0,01%, nilai kadar air 68,89 ± 3,30% dan nilai kadar protein 4,65 ± 0,008%.
Evaluating chatGPT’s accuracy in understanding statistical concepts: Performance and implications for learning Rahmawati, Fitriana; Noviyana, Hesti; Mauliana, Yunita; Pradana, Kenny Candra; Pratama, Ryan; Zakia, Atiqo Haya
Al-Jabar: Jurnal Pendidikan Matematika Vol 16 No 2 (2025): Al-Jabar: Jurnal Pendidikan Matematika
Publisher : Universitas Islam Raden Intan Lampung, INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ajpm.v16i2.28828

Abstract

Purpose: This study examines students’ ability to comprehend statistical concepts explained by ChatGPT and explores both students’ and lecturers’ perceptions regarding the clarity and instructional appropriateness of ChatGPT’s explanations within the framework of Intelligent Tutoring Systems (ITS), particularly in learning contexts that require high cognitive engagement. Method: A qualitative approach with a quasi-experimental design was employed. Participants were divided into an experimental group that utilized ChatGPT during learning activities and a control group that received conventional lecturer-led instruction. Data were gathered through quizzes, classroom observations, and Focus Group Discussions (FGDs) involving students and lecturers. The collected data were analyzed descriptively using the Miles and Huberman model to identify recurring themes related to conceptual understanding, learning behavior, and instructional effectiveness. Findings: The results reveal that most students experienced substantial difficulty in understanding statistical explanations generated by ChatGPT. Students frequently relied on copying answers without critically engaging with the reasoning process. Major obstacles included fragmented explanations, unfamiliar symbolic representations, and the use of technical language that exceeded students’ conceptual readiness, leading to weak conceptual understanding. Conversely, students who possessed a solid foundation in statistical concepts demonstrated better learning outcomes, even when using ChatGPT. Lecturers consistently emphasized that ChatGPT cannot substitute the pedagogical role of lecturers but may provide limited support when its use is guided and supervised. Significance: This study underscores that ChatGPT should be positioned as a supplementary instructional tool rather than a primary source of explanation in statistics education. Effective integration requires structured guidance, conceptual reinforcement, and the cultivation of students’ critical thinking skills to avoid misconceptions. These findings contribute to the discourse on responsible human AI collaboration in higher education and offer practical implications for implementing generative AI within ITS based learning environments.
Peran Fishway Pada Migrasi Ikan Air Tawar Dampak Dari Pembangunan Bendungan Palupi, Surya Dwi; Nurfitri, Renata Tara; Putri, Rossa Cantika; Pratama, Rian Deca; Sakhi, Rajendra Rijal; Firmansyah, Rangga Juve; Pratama, Ryan
Jurnal Teknik Sipil Vol 6, No 1 (2025)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jts.2025.v6i1.6826

Abstract

Dams are structures that have been built by humans since thousands of years ago. A dam is a building or infrastructure designed to accommodate large water releases. The bigger a dam building, the more problems caused by the dam building infrastructure, one of which is the migration of freshwater fish.  Indonesia currently has many dams built for infrastructure facilities, but there are still few dams that implement fishways. Increasingly large dam infrastructure can impede freshwater fish migration and cause a reduction in freshwater fish species and disrupt freshwater fish ecosystems. The structure of the river, which is lower downstream and higher upstream, causes significant changes in river flow patterns, resulting in changes in environmental conditions and also affecting the ecosystem. For this reason, the role of fishway construction is very important to help them get to their habitat and breed so as not to disturb the freshwater fish ecosystem. This article discusses the important role of fishway construction in the construction of dams, which cause obstacles to freshwater fish migration.