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Penggunaan Alat Peraga Kawat Luncur Untuk Meningkatkan Hasil Belajar Peserta Didik Pada Pokok Bahasan Gaya Lorentz Abdul Wahab; Aunurohim; Dian Saptarini; Indah Trisnawati D.T; Nurul Jadid; Edwin Setiawan; Farid Kamal Muzaki; Triono Bagus Saputro; Iska Desmawati
Sewagati Vol 2 No 2 (2018)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (211.839 KB)

Abstract

Penelitian ini disusun sebagai tindak lanjut dari sebuah penelitian untuk mengatasi permasalahan dalam pembelajaran tentang gaya Lorentz yang sering dialami oleh peserta didik yaitu kesulitan menvisualisasikan gaya Lorentz sehingga hasil belajar peserta didik kurang baik. Penelitian yang dilakukan menggunakan rancangan uji coba one-group pretest – posttest sedangkan pengembangan alat peraga kawat luncur menggunakan model 4D yang terdiri atas 4 tahap yaitu define, design, develop dan disseminate. Penelitian ini diujicobakan kepada peserta didik kelas 9D yang terdiri atas 32 peserta didik. Penggunaan alat peraga kawat luncur dalam pembelajaran dengan pendekatan saintifik dapat memvisualisasikan keberadaan dan arah gaya Lorentz secara jelas pada peserta didik sehingga mereka lebih mudah memahami konsep dan arah gaya Lorentz. Hasil belajar perserta didik pada materi gaya Lorentz setelah menggunakan alat peraga kawat luncur dalam pembelajaran mengalami kenaikan dengan rata – rata n-gain sebesar 0,8 dan berkategori tinggi sehingga dapat disimpulkan bahwa penggunaan alat peraga kawat luncur dalam pembelajaran materi gaya Lorentz mampu meningkatkan hasil belajar peserta didik.
Efect of Gamma 60Co Irradiation on The Growth, Lipid Content and Fatty Acid Composition of Botryococcus sp. Microalgae Dini Ermavitalini; Niki Yuliansari; Endry Nugroho Prasetyo; Triono Bagus Saputro
Biosaintifika: Journal of Biology & Biology Education Vol 9, No 1 (2017): April 2017
Publisher : Department of Biology, Faculty of Mathematics and Sciences, Semarang State University . Ro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/biosaintifika.v9i1.6783

Abstract

Botryococcus sp. is one of microalgae species that has a high lipid content as much as 75% of their dry weight. But, lipid production by microalgae is regulated by their environmental condition (pH, light, temperature, nutrition, etc). Mutagenesis induced by Gamma 60Co irradiation can be utilized to alter the Botryococcus sp. genetic to get microalgae mutant strain that can produce a higher lipid content than the wild strain. Botryococcus sp. was irradiated with different doses of gamma ray of 60Co  (0, 2, 4, 6, and 10 Gy),  and the effect  on the growth, lipid content, and fatty acid composition of microalgae were observed. Research design used is random complete (RAL) with 95 %  confident level for quantitive analysis based on the biomass and lipid contents. More over fatty acid composition was analyzed by Gas Cromatography-Mass Spectrometry (GC-MS). Results showed that Gamma irradiated gave an effect on growth and lipid content of Botryococcus sp. But between the control treatment (0 Gy) with microalgae irradiated dose of 2 Gy, 4 Gy and 6 Gy were not significantly different. Whereas between the control with 10 Gy irradiated was significantly different. The highest biomassa and lipid content are found in 10 Gy irradiated microalgae with 0.833 gram biomass and 41% lipid content. Fatty acid profile of Botryococcus sp. control has 6 fatty acids while 10 Gy irradiated microalgae has 12 fatty acids, with the long-chain fatty acids increased, whereas short-chain fatty acids decreased.
In Vitro Selection of Local Maize (Zea mays) on NaCl Stress and Its Genetic Characterization using RAPD Triono Bagus Saputro; Fathin Finariyah; Siti Dianawati; Nur Fadlilatus Sholihah; Dini Ermavitalini
Biosaintifika: Journal of Biology & Biology Education Vol 8, No 3 (2016): December 2016
Publisher : Department of Biology, Faculty of Mathematics and Sciences, Semarang State University . Ro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/biosaintifika.v8i3.6934

Abstract

Maize (Zea mays) is one of graminae plants that widely spread for many purposes wheter in food industry, feed, or bioenergy. Those high utilization required an increment in production, but unfortunately the needs were not meet to the demands since conversion of agricultural area increase lately. Indonesia has 99.093 km of shoreline that recognize as marginal land where the salinity is high as well. This research try to obtain tolerant variant from two local cultivars that planted in Madura Island. Manding and Talango varieties were used as an explant for callus induction stage in MS supplemented with 2.4 D. The result show that 4 ppm of 2.4 D were the best concentration to induce the callus in both varieties. The induced callus were exposed to medium MS that contain NaCl (0, 2500, 5000, and 7500 ppm). In 7500 ppm of NaCl, Manding variety has 100% of surviving callus, while Talango variety only 66.7%. Furthermore, Manding variety shows a better performance in callus weight improvement with 170 mg, while Talango shows no improvement of callus weight. The result of RAPD analysis indicate that the genome characteristic were different between initial callus and surviving callus. Out of ten primers, only five primers shows polymorphism i.e OPA 13, OPB 07, OPC 02, OPK 20, and OPU 19. Manding can be further developed as high tolerance variety in Salinity stress, thus it proposed to be developed furthermore.How to CiteSaputro, T. B., Finariyah, F., Dianawati, S., Sholihah, N. F., Ermavitalini, D. (2016). In Vitro Selection of Local Maize (Zea mays) on NaCl Stress and Its Genetic Characterization using RAPD. Biosaintifika: Journal of Biology Biology Education, 8(3), 344-352. 
Prediksi Produksi Kelapa di Kabupaten Banyuwangi Dengan Algoritma Neural Network Herlambang, Teguh; Nurhadi, Hendro; Ermavitalini, Dini; Huda, Miftahul; Oktavianto, Lucky; Saputro, Triono Bagus; Arief, M. Romli
Zeta - Math Journal Vol 9 No 2 (2024): November
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2024.9.2.90-96

Abstract

Salah satu daerah penghasil kelapa terbesar di Indonesia adalah Banyuwangi, yang terletak di ujung timur Pulau Jawa. Perkebunan kelapa di Banyuwangi tidak hanya meningkatkan pendapatan petani, tetapi juga memajukan industri pengolahan lokal. Banyuwangi memiliki area potensial yang akan membantu pertumbuhan bisnis kelapa dan agroindustri lainnya. Potensi budidaya kelapa tersebar di berbagai wilayah Banyuwangi, dengan beberapa kecamatan yang menonjol dalam hal produksi dan pengolahan kelapa. Banyuwangi juga memiliki tanah yang subur, iklim yang mendukung, dan sumber daya manusia yang berpengalaman dalam budidaya kelapa Tujuan dari penelitian ini adalah untuk meramalkan produksi kelapa di Kabupaten Banyuwangi dan memberikan informasi yang akurat tentang perkiraan jumlah produksi di masa depan. Diharapkan hasil ini akan membantu petani dan pemangku kebijakan membuat keputusan yang tepat tentang manajemen produksi, distribusi, dan pengembangan industri kelapa di daerah tersebut untuk meningkatkan keberlanjutan, keuntungan, dan efisiensi. Pada penelitian ini menggunakan algoritma Neural Network guna menunjukkan kinerja terbaik pada pengujian dengan pembagian data pelatihan (Tr) sebesar 70%, 80%, dan 90%, serta data pengujian (Ts) sebesar 30%, 20%, dan 10%. Hasil pada implementasi algoritma Neural Network sebagai peramalan produksi kelapa pada banyuwangi menghasilkan RMSE berturut-turut sebesar 0,039, 0,036, dan 0,036.
Identification of Microalgae Isolates Using 18 S rRNA Markers and Testing Their Antioxidant Capacity Ermavitalini, Dini; Rahmahana, Ratna Syifa'a; Saputro, Triono Bagus; Rizam, Bilqis Naura Safira; Purnobasuki, Hery; Ni'matuzahroh
Biosaintifika: Journal of Biology & Biology Education Vol. 17 No. 1 (2025): Inpress April 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/biosaintifika.v17i1.19919

Abstract

Microalgae are photoautotrophic microorganisms that synthesize bioactive compounds, including antioxidant compounds. Exploratory research on microalgae with strong antioxidant capacity as free radical scavengers is interesting and important to do. This study aims to identify and evaluate the antioxidant capacity of microalgae. Water samples were diluted with multilevel dilution. Microalgae were isolated using the streak plate method, and four microalgae isolates were successfully cultivated in vitro. Identification was carried out by phylogenetic analysis based on 18S rRNA marker gene sequences, namely Chlorella vulgaris, Desmodesmus armatus, Dictyosphaerium ehrenbergianum, and Vitreochlamys incisa. Antioxidant capacity was evaluated using three methods, namely DPPH (2,2-diphenyl-1-picrylhydrazyl), ABTS (2,2'-azino-bis (3-ethylbenzothiazoline-6-sulfonate)), and FRAP (Ferric Reducing Antioxidant Power). IC50 as the concentration required to inhibit 50% of free radicals showed that methanol extract of C. vulgaris had a strong antioxidant capacity in the ABTS test with IC50 of 81.693 ppm and the highest in the DPPH test with IC50 of 297.451 ppm. In the FRAP test, the highest antioxidant capacity was in ethanol extract of D. ehrenbergianum isolate of 74.45 mg AAE/g. The D. armatus isolate had the lowest antioxidant capacity in the ABTS, DPPH, and FRAP tests.
FATTY ACID PROFILES OF MICROALGAE ISOLATES FROM THE WATERS OF ITS DORMITORY POND IN SURABAYA, INDONESIA Mawardani, Alfiyyana Nurrahma; Ermavitalini, Dini; Saputro, Triono Bagus; Muzaki, Farid Kamal; Purnomo, Adi Setyo; Purnobasuki, Hery
BIOTROPIA Vol. 32 No. 1 (2025): BIOTROPIA Vol. 32 No. 1 April 2025
Publisher : SEAMEO BIOTROP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11598/btb.2025.32.1.2428

Abstract

ARTICLE HIGHLIGHTS- Microalgae from ITS Dormitory Pond were identified using morphological analysis.- The study analyzed the fatty acid composition of four microalgae genera.- Dictyosphaerium had the highest total fatty acid content.- The findings suggest potential applications of these microalgae in biotechnology.- Further research is needed to improve fatty acid production. ABSTRACT Microalgae are a diverse group of autotrophic microorganisms classified into prokaryotic and eukaryotic groups. Their ability to thrive in various environmental conditions enables the identification of species with distinct fatty acid profiles. The absence of a microalgae culture collection at Sepuluh Nopember Institute of Technology (ITS) motivated the selection of the ITS Dormitory Pond as the research site. This study aimed to identify microalgae species present in the pond through morphological characterization and analyze their fatty acid profiles. Morphological identification was conducted using taxonomic references, while fatty acid composition was determined via GC-MS analysis. The results identified four genera: Dictyosphaerium, Vitreochlamys, Desmodesmus, and Chlorella. Their fatty acid profiles varied, comprising saturated (SFA), monounsaturated (MUFA), and polyunsaturated fatty acids (PUFA). Dictyosphaerium contained 17.57% SFA, 12.28% MUFA, and 0.33% PUFA, while Vitreochlamys had 10.83% SFA and 10.19% MUFA. Desmodesmus exhibited 14.19% SFA, 7.39% MUFA, and 4.14% PUFA, whereas Chlorella had 1.92% SFA and 2.67% PUFA. These findings highlight the potential of microalgae from ITS Dormitory Pond as a natural source of fatty acids. Further research is recommended to optimize culture conditions for enhancing commercially valuable fatty acid production.