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Isolasi Dan Karakterisasi Bakteri Lipolitik Dari Tanah Tempat Pembuangan Sementara Untuk Aplikasi Bioremediasi Missa, Hildegardis; Resi, Damasus Nosi; Djalo, Aloysius; Ndukang, Sardina
Jurnal Media Informatika Vol. 6 No. 2 (2025): Jurnal Media Informatika
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jumin.v6i2.5171

Abstract

Bakteri lipolitik berperan dalam mendegradasi sampah yang mengandung lipid dengan bantuan enzim lipase. Penelitian  ini bertujuan untuk mengetahui karakteristik bakteri lipolitik dari tanah Tempat pembuangan sementara (TPS) di Kota Kupang. Prosedur penelitian meliputi isolasi bakteri, karakterisasi makroskopis, karakterisasi mikroskopis dan uji aktivitas lipolitik. Hasil penelitian menunjukkan bahwa ditemukan 8 isolat bakteri yang diberi kode L1A, L2A, L3A, L4A, L5A, L6A, L7A, dan L8A, Karakterisasi makroskopis ditemukan bakteri yang memiliki bentuk, tepian, elevasi dan warna yang berbeda, karakterisasi mikroskopis ditemukan bakteri dengan kode isolat L1A, L2A, dan L7A merupakan bakteri gram negatif, sedangkan L3A, L4A, L5A, L6A dan L8A merupakan bakteri gram positif. Hasil uji aktivitas menunjukkan bahwa semua isolat memiliki aktivitas lipolitik dengan adanya zona kuning di sekitar koloni bakteri dimana isolat L1A mempunyai indeks lipolitik terbesar yaitu 10,7 mm sedangkan isolat L3A mempunyai indeks lipolitik terkecil yaitu 4 mm. maka dapat disimpulkan bahwa bakteri lipolitik dapat ditemukan pada tanah TPS di Kota Kupang dengan karakteristik yang berbeda dan mempunyai aktivitas dalam mendegradasi lipid.
Needs Analysis for the Development of E-Modules Argument Driven Inquiry Contextualized Socio Scientific Issues to Empower Students' Scientific Argumentation Skills Resi, Damasus Nosi; Sutarno; Indrowati, Meti
Journal of Educational Sciences Vol. 9 No. 3 (2025): Journal of Educational Sciences
Publisher : FKIP - Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jes.9.3.p.1021-1033

Abstract

This study aims to analyze the need for developing E-modules Argument Driven Inquiry (ADI) with Socio Scientific Issues (SSI) context on environmental change material to empower students' scientific argumentation skills. The research method used is descriptive qualitative method with data collection techniques through interviews and questionnaires. The subjects of this study were biology teachers and 60 students of SMA Negeri 4 Surakarta. The results of the needs analysis showed that teachers and students need technology-integrated teaching materials in the form of ADI E-modules with SSI context on environmental change material. The development of ADI E-modules with SSI context is expected to be an alternative learning solution that is innovative and effective in improving the quality of biology learning which has implications for empowering students' scientific argumentation skills.
EXPLORING THE IMPACT OF DEBATES SUPPORTED BY ARTIFICIAL INTELLIGENCE: INNOVATIVE STRATEGIES TO EMPOWERING SCIENTIFIC ARGUMENTATION SKILLS IN BIOLOGY CLASSES Resi, Damasus Nosi; Sutarno, Sutarno; Indrowati, Meti
EDUPROXIMA : Jurnal Ilmiah Pendidikan IPA Vol 8, No 1 (2026)
Publisher : Universitas Bhinneka PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/.v8i1.8172

Abstract

Scientific argumentation is a key skill and an important variable that plays a central role in biology learning, which in practice has not been well trained. The purpose of this study was to determine the effect of debate activities supported by artificial intelligence as a tool to improve students' scientific argumentation skills. This study adopts a quantitative descriptive method by integrating a quasi-experimental approach. The research sample consists of 72 tenth-grade students from State High School 7 Surakarta, divided into experimental and control groups. A scientific argumentation test instrument in the form of essay questions was used to analyze the final synergistic effect of the intervention provided. The research findings indicate that there are significant differences between the control and experimental groups in certain elements, both in terms of argumentation structure criteria (Claims and Data) and argumentation quality criteria (Organization, Sufficiency, and Clarity) with a p-value 0.05, indicating that AI-supported debates only influence initial elements, thus concluding that they are not yet effective across all elements of scientific argumentation skills. This highlights the need for sufficient time and more targeted instruction to maximize the development of students' scientific argumentation skills.
Analisis kualitas soal penilaian tengah semester biologi dengan teori tes klasik dan Rasch model Resi, Damasus Nosi
Bio-Pedagogi: Jurnal Pembelajaran Biologi Vol 13, No 2 (2024): Bio-Pedagogi: Jurnal Pembelajaran Biologi
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/bio-pedagogi.v13i2.88075

Abstract

ENThis research aims to determine the quality of odd semester assessment questions for class X in Biology for the 2023/2024 academic year. This research used a quantitative descriptive method involving 30 students with 30 questions being tested. Data were analyzed using classical test theory and processed using Microsoft Excel and Rasch models, which were processed using the Winstep program. The quality of the item questions tested includes difficulty level, distinguishing power, distractor effectiveness, validity, and reliability. The results of the CTT analysis show two categories of difficulty, namely easy (13.3%) and medium (86.7%) questions. There are four categories of differentiating power: low, sufficient, high, and very high. The effectiveness of functioning distractors was 16.7%, while non-functional ones were 83.3%. The validity of valid questions is 20%, and invalid is 80%. Meanwhile, the level of reliability is categorized as unreliable, with a value of r11 = 0.079 (very low). The results of the IRT analysis show that the difficulty level of the questions is in three categories, namely easy (20%), medium (66.7%), and difficult (13.3%). Differentiating power is only categorized as low. The effectiveness of functioning distractors was 43.3%, and non-functioning was 56.7%. The validity of the questions is classified as valid 63.7% and invalid 36.3. Person reliability is 0.03 in the weak category, while item reliability is 0.30 in the weak category. This study provides insight into the importance of using appropriate methodology for problem analysis, using both classical test theory and the Rasch model, which can help create evaluation instruments in the future. IDTujuan penelitian ini untuk mengetahui kualitas soal Penilaian Tengah Semester ganjil kelas X mata pelajaran Biologi tahun pelajaran 2023/2024. Penelitian ini menggunakan metode deskriptif kuantitatif yang melibatkan 30 siswa dengan 30 soal yang diujikan. Data dianalisis dengan teori tes klasik yang diolah menggunakan Microsoft Excel dan Rasch  model yang diolah dengan program Winstep. Kualitas item soal yang diuji meliputi tingkat kesukaran, daya pembeda, efektivitas distraktor, validitas dan reliabilitas. Hasil analisis CTT menunjukkan tingkat kesukaran terdapat dua kategori yaitu soal kategori mudah (13,3%) dan sedang (86,7%). Daya pembeda terdapat empat kategori yaitu rendah, cukup, tinggi dan sangat tinggi. Efektifitas distraktor berfungsi sebanyak 16,7% sedangkan yang tidak berfungsi 83,3%. Validitas butir soal yang valid terdapat 20% dan tidak valid 80%. Sedangkan tingkat reliabilitas dikategorikan tidak reliabel dengan nilai r11= 0,079 (sangat rendah). Hasil analisis dengan IRT menunjukkan tingkat kesukaran soal terdapat tiga kategori yaitu mudah (20%), sedang (66,7%) dan sulit (13,3%). Daya pembeda hanya dikategorikan rendah. Efektifitas distraktor yang berfungsi sebanyak 43,3% dan tidak berfungsi 56,7%. Validitas butir soal tergolong valid 63,7% dan tidak valid 36,3. Reliabilitas person sebesar 0,03 dengan kategori lemah sedangkan reliabilitas item sebesar 0,30 dengan kategori lemah. Penelitian ini memberikan wawasan tentang pentingnya menggunakan metodologi yang tepat dalam analisis soal, baik menggunakan teori tes klasik maupun model Rasch , yang dapat membantu dalam pembuatan instrumen evaluasi di masa depan.
Persepsi Guru dan Siswa Terhadap Integrasi Kecerdasan Buatan Dalam Pembelajaran Biologi: Eksplorasi Peluang dan Tantangan Resi, Damasus Nosi; Sutarno, Sutarno; Indrowati, Meti
Proceeding Biology Education Conference: Biology, Science, Enviromental, and Learning Vol 22, No 1 (2025): Proceeding Biology Education Conference
Publisher : Universitas Sebelas Maret

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

Abstract

Artificial intelligence (AI) has become a new educational space and an integral part of the rapid development of education and technology in today's modern era. However, the use of AI faces various problems and obstacles, including in biology education, which has been exposed to the effects of AI as a current learning mechanism. The purpose of this study is to explore and investigate teachers' and students' perspectives on the integration of AI in biology education and to understand its opportunities and challenges. This study adopts a qualitative method, conducting a survey administered to biology teachers and three classes under their supervision (n = 96 students) at one high school in Surakarta. The analysis instrument, in the form of a questionnaire designed with applied questions, was used as an evaluation framework to analyze teachers' and students' perspectives on the integration of AI in biology education. The research findings revealed that teachers and students share similar perspectives on the opportunities and challenges of utilizing AI in biology education. This finding identified opportunities such as effectiveness, time efficiency, and personalized learning as the main factors enabling the adoption of AI in biology education. The study also addressed various challenges faced, including ethical issues related to AI use, the decline in critical thinking skills due to overreliance on AI among students, and the limited AI literacy skills among teachers. The study emphasizes the importance of accommodative activities such as socialization and training in the use of artificial intelligence in biology education as a synergistic effort to foster a positive attitude in preparing teachers and students to adapt and innovate in the era of AI transformation.