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IDENTIFICATION OF STARCH FORMS IN EDIBLE PLANTS Lubis, Susi Mulianti; Sarjani, Tri Mustika; Mahyuni, Siska Rita; Pratiwi, Riska Tia; Faradina, Inka; Wardani, Sarwinda Kusuma; Fatimah, Siti; Halimatun, Futria; Parliansyah, M Rizky; Sheila, Andriana
Biotik Vol 10 No 2 (2022): JURNAL BIOTIK
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/biotik.v10i2.13516

Abstract

This study aims to identify the forms of starch in edible plants. This research involved several edible plants such as sago, yam and taro. This type of research uses descriptive quantitative methods by conducting experiments on each sample used. The data collection technique was carried out by describing the results of the starch form from each sample that had been obtained. The results obtained from this study showed that the Sago preparations viewed under a microscope had an oval starch shape and spread throughout the preparation so that it was classified as an eccentric starch type that could be seen at 10X magnification, while Jicama starch preparations had a round starch shape and chains in some parts. The plane of the preparation and entered in the concentric type, but the shape of starch in Jicama can be seen under a microscope at 100X magnification, the Taro preparation has a round and lumpy shape but the starch accumulates in several areas of the preparation and enters the concentric type seen at 40X magnification. So it can be concluded that the forms of starch in edible plants are very diverse, both in round to oval shapes, with smooth and rough starch structures, namely in the form of lumps.Keywords: Edible Plants, Starch Form
Diversity and Distribution Patterns of Gastropods on Kupang Beach, Seruway District Halimatun, Futria; Mawardi, Abdul Latif; Wahyuni, Ayu; Hariani, Indri; Fauziah, Cut
Jurnal Biologi Tropis Vol. 24 No. 1 (2024): Januari - Maret
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v24i1.6571

Abstract

Seruway is one of the sub-districts in Aceh Tamiang, which is located in the coastal area. This coastal area is dominated by mangrove species, where the mangrove area is used as a habitat for aquatic biota animals, one of which is gastropods. Gastropods are soft-bodied animals that have threaded shells. This research aims to determine the value of the species diversity index and distribution patterns of gastropods in Kupang Beach, Seruway District. This research is a type of quantitative descriptive research with sampling using a survey method. Sampling was taken using transects. Sampling was divided into 3 stations, namely the first station in the mangrove area, the second station in the beach area and the third station in the pond area. Each station consists of 4 transects measuring 50 meters, each transect has 4 plots measuring 10x10m. Samples that are obtained will be identified using an identification book. The research results showed that the number of gastropod species found was 17 species from 9 families with a total diversity index value at the research location, namely H'= 2.405, which is classified as medium. The distribution pattern of gastropods on Kupang Beach falls into two categories, namely the uniform category 59% and the undefined category 41%.
IDENTIFIKASI PTERYDOPHYTA DI KAWASAN UNIVERSITAS SAMUDRA Halimatun, Futria; Srijayanthi; Aini, Nur; Hariani, Indri; Tiara, Resa; Wandari, Welli; Hasanah, Baiti
JURNAL BIOSENSE Vol 7 No 01 (2024): Edisi Juni 2024
Publisher : Program Studi Biologi, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas PGRI Banyuwangi, Jalan Ikan Tongkol No 01, Telp (0333) 421593, 428592 Banyuwangi 68416

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/biosense.v7i01.3541

Abstract

Tumbuhan tingkat rendah yang disebut pakis (Pteridophyta) berkembang biak menggunakan spora daripada biji. Tumbuhan paku (Pteridophyta) yang merupakan anggota famili Lygodiaceae, Lomariopsidaceae dan Dryopteridaceae yang paling banyak ditemukan di kawasan Universitas Samudra. penelitian ini bertujuan untuk mengidentifikasi spesies Pterydophyta yang ada dikawasan universitas samudra. Penelitian ini menggunakan pendekatan survei eksplorasi dan deskriptif,teknik pengumpulan data Dengan cara memeriksa morfologi dan deskripsi tanaman tersebut.sampel diidentifikasi menggunakan buku Kunci identifikasi yaitu buku taksonomi tumbuhan. Dalam penelitian ini di dapatkan 14 spesies Pterydophyta yang berbeda, yang dibagi menjadi 9 famili yaitu famili Polipodiaceae, Nefrolepidaceae, Dryopteridaceae, Lygodiaceae, Stenochlaena, Gleicheniaceae, Thelypteridaceae, Lomariopsidaceae, Pteridaceae. Keywords: Identifikasi;Pteridophyta;Universitas Samudra. Abstract Lower plants called ferns (Pteridophyta) reproduce using spores rather than seeds. Ferns (Pteridophyta) which are members of the Lygodiaceae, Lomariopsidaceae and Dryopteridaceae families are most commonly found in the Samudra University area. This research aims to identify Pterydophyta species in the Ocean University area. This research uses an exploratory and descriptive survey approach, data collection techniques by examining the morphology and description of the plants. The samples were identified using the key identification book, namely the plant taxonomy book. In this study, 14 different species of Pterydophyta were obtained, which were divided into 9 families, namely the Polypodiaceae, Nephrolepidaceae, Dryopteridaceae, Lygodiaceae, Stenochlaena, Gleicheniaceae, Thelypteridaceae, Lomariopsidaceae, Pteridaceae families. Keywords: Identification; Pteridophyta; Samudra University.
The Role of AI-Based Chatbots in Supporting Biology Education Students’ Learning Wahyuni, Ayu; Junaidi, Agus; Mansur; Sriadhi; Halimatun, Futria
Journal Of Biology Education Research (JBER) Vol. 6 No. 2 (2025): JBER (Journal Of Biology Education Research), Vol.6 No.2 (2025)
Publisher : Program Studi Pendidikan Biologi FKIP Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55215/jber.v6i2.82

Abstract

The development of Artificial Intelligence (AI) technology continues to make a significant contribution to the field of education, particularly through the use of chatbots as virtual learning assistants. AI-based chatbots can help students overcome learning difficulties, whether in understanding material, increasing motivation, or providing guidance tailored to individual needs. This study aims to analyze the effectiveness of AI-based chatbots in enhancing Biology Education students’ understanding and ability to overcome learning difficulties in the digital learning environment. This study uses a quantitative survey method, involving 60 respondents from the Biology Education Study Program at a state university in Indonesia. The population in this study consists of all students in the Biology Education Study Program who have used AI chatbots as learning tools. The sampling technique used is purposive sampling, with the criteria being students who have used AI chatbots for at least one semester in their learning activities. Data were collected using a structured questionnaire based on five indicators: ease of access, clarity of material explanation, learning motivation, effectiveness of feedback, and contribution to conceptual understanding. The results of the study show that students consider AI chatbots to be effective learning tools, especially in providing instant feedback, clear explanations, and improving their understanding of basic and complex biological concepts. Most students showed a high level of acceptance of chatbots. The students appreciated its accessibility, clarity, and relevance of responses. The analysis also shows that chatbots serve as facilitators of independent learning, which strengthens motivation, increases confidence, and deepens conceptual understanding. However, this study also found that the effectiveness of chatbots still needs improvement, especially in providing more contextual explanations and supporting higher-order cognitive skills such as analysis and synthesis. In conclusion, students rated the AI chatbot as an effective learning tool because it provides instant feedback, clear explanations, and improves their understanding of biological concepts. The chatbot also supports independent learning, motivation, and confidence. However, its effectiveness still needs to be improved, especially in providing contextual explanations and supporting higher-order cognitive skills.