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Fajar Adinugraha
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INDONESIA
Pro-Life
ISSN : 23020903     EISSN : 25797557     DOI : 10.33541
Ilmu Biologi merupakan salah satu ilmu yang terus bertumbuh dan menjadi bagian yang penting dalam kehidupan. Ilmu Biologi mencakup kajian teori, penelitian hingga pendidikan Biologi menjadi cakupan ilmiah yang terus diteliti dan dikaji hingga memperoleh manfaat bagi kehidupan. Program studi pendidikan Biologi FKIP-UKI ingin memberikan wadah bagi para peneliti baik di dunia Ilmu Biologi maupun Pendidikan Biologi untuk mempublikasikan hasil kajiannya. Jurnal ini terbentuk pada tahun 2014 dan menjadi referensi bagi para mahasiswa dan peneliti lain dalam melakukan penelitian. Bidang spesifik yang dicakup dalam Jurnal adalah Pendidikan dan Ilmu Biologi. Cakupan/ fokus masalah yang dicakup dalam Jurnal antara lain Pendidikan, Metode Ajar, Tumbuhan, Hewan dan Lingkungan. Jurnal terbit 3 kali dalam satu tahun, yaitu pada Bulan November, Maret dan Juli.
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Articles 222 Documents
BOTANI DAN BIOAKTIVITAS PULAI (Alstonia scholaris) Dr. Marina Silalahi, M.Si
Jurnal Pro-Life Vol. 6 No. 2 (2019): Juli
Publisher : Program Studi Pendidikan Biologi Fakultas Keguruan dan Ilmu Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/jpvol6Iss2pp102

Abstract

Pulai or Alstonia scholaris (AS) is a species belonging Apocynaceae, which is used as medicine. The aim of thearticleto manifest the use and bioactivity of the AS. The writing of the article is based literature study of various articles or research that has been there before to explain AS bioactivity. The genera Alstonia was described by Robert Brown in 1810 and was used as a tribute to and respect for Charles Alston, a Scottish Doctor and professor of Botany at the University of Edinburgh. The AS is a medium to large-sized tree with plants, has fragrant flowers so that it is associated with magic causing it to be called a devil tree. Ethnobotany AS is used to treat digestive tract disorders, malaria, asthma, malaria, fever, dysentery, diarrhea, epilepsy, skin diseases, and snake bites. The use of the AS as a drug is related to the content of secondary metabolites, especially from compounds of the alkaloid group. The AS bioactivity as an anti-diabetes mellitus, anti-cancer, anti-inflammatory, anti-microbial and antioxidant drug. The AS bioactivity as an anti-cancer can be used as an alternative medicine in healing cancer, but further research is needed to develop it as a standardized herbal medicine. Keywords: Alstonia scholaris, anti-cancer, diabetes mellitus.
PENEGAKAN DIAGNOSIS DAN PENANGGULANGAN CERVICALYS HERNIATED NUCLEUS PULPOSUS Bernadetha Nadeak
Jurnal Pro-Life Vol. 6 No. 2 (2019): Juli
Publisher : Program Studi Pendidikan Biologi Fakultas Keguruan dan Ilmu Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/jpvol6Iss2pp102

Abstract

This paper examines the exact and precise diagnosis of the Cervicalys Herniatted Nucleus Pulposus (CHNP). CHNP comes from the displacement of the nucleus pulposus in the intervertebral disc at the cervical level, which can cause direct compression of the spinal cord or nerve root suppression. The posisition of the body which is less ergonomic during daily activities as a result of a misposition in a long time so as to cause high levels of stress on the muscles and tissues supporting the body in the long run and asymmetrical loading on intradiscal (disc migration). This condition causes the transfer of the nucleus pulposus to the front of the burden received, if this lasts a long time it can cause protrusion of the disc backwards so that it can directly irritate pain-sensitive posterior longitudinal ligaments. The purpose of this study is to find out how the precise and exact diagnosis of CHNP is. The research method used is library research, by referring to books, journals, articles relating to topics discussed as data sources to answer research question. The results of this study is; there are several ways that can be done in CHNP diagnosing such as: a) laboratory examination; b) imaging; c) electrodiagnostic, d) somatosensory evoked potentials. While the prevention of CHNP can be done in several ways such as: a) physical therapy; b) cervical traction; c) pharmacology; d) surgery; e) prevention; f) biomechanics; g) pathophysiology, and; h) decreased structure of the intervertebral disc. It can be concluded that in the accurate and precise enforcement and handling of CHNP, it is recommended to do the several methods mentioned above. Keywords: cervicalys herniated nucleus pulposus, head and neck position
EKSPLORASI JENIS ROTAN DI KABUPATEN TIMOR TENGAH SELATAN, PROVINSI NUSA TENGGARA TIMUR Titi Kalima; Jamaludin Malik; Sunarto Sunarto
Jurnal Pro-Life Vol. 6 No. 2 (2019): Juli
Publisher : Program Studi Pendidikan Biologi Fakultas Keguruan dan Ilmu Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/jpvol6Iss2pp102

Abstract

South-Central Timor District with the area of ​​3,955.36 km2 holds a lot of diversity of non-timber forest products, including rattan plants. Rattan is widely spread in forest area which is its natural habitat. The increasing of both legal and illegal forest exploitation and land conversion resulted in the habitat damage. Some communities around the forest have used rattan as raw material for plaits, ropes and household needs, while the rattan has not been inventoried and cultivated properly. The purpose of this study is to determine the diversity of rattan species and utilization by the people in the District of South-Central Timor, East Nusa Tenggara Province. Field research activities were carried out using the exploration method in the Kualeui forest area, namely the villages of Oelalali, Sub-District of Kualin and Lolli Village, Sub-District of Pollen. Rattan data collection was recorded in passport data followed by data documentation. Exploration results show that the forests of South-Central Timor Regency found three species of rattan consisting of two genera, namely Calamus and Daemonorops. In this district, rattan grows at the altitude of 100-1500 above sea level. The most commonly used rattan species by communities around the forest are Calamus timorensis Beccari and C. toli-toliensis Beccari ex Heyne, while Daemonorops melanochaetes Blume is not utilized. Therefore there is a need for further development of the utilised rattan. Keywords: Exploration, Rattan, South-Central Timor District, Utilization.
KARAKTERISASI VARIASI MORFOLOGI Youngia japonica (L.) DC. (ASTERACEAE) DARI PULAU SUMATERA, INDONESIA Anisatu Z. Wakhidah
Jurnal Pro-Life Vol. 6 No. 2 (2019): Juli
Publisher : Program Studi Pendidikan Biologi Fakultas Keguruan dan Ilmu Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/jpvol6Iss2pp102

Abstract

Youngia japonica (L.) DC. is perennial herb with yellow hermaphrodite flower. Based on herbarium collection from Herbarium Naturalis Biodiversity Centre (L), a variety was discovered from Japan in this species which named as Youngia japonica Benth var. acutiloba Miq. There are posibilites about discovering variety in herbarium collection of Youngia japonica (L.) DC. from Sumatera Island wich owned by Herbarium Bogoriense (BO). Fenetic analysis revealed that morphological character observation resulted 4 group with difference at some morphological characters in Youngia japonica (L.) DC herbarium. Those character were height of habit, stem surface, stipule, and leaf margin. Due to those character got great influenced by environment factor, those character not yet satisfy to classify Youngia japonica (L.) DC. in taxon infra species. Beside it, there is an assumption that Youngia japonica (L.) DC. has a large variety morphology which because of its adaptation ability. Keywords : herbarium, Sumatera, variety, Youngia japonica,
PENGARUH MODEL PROJECT BASED LEARNING DENGAN LIVE AQUARIUM MENGGUNAKAN SPESIES ASLI INDONESIA TERHADAP HASIL BELAJAR KOGNITIF SISWA PADA MATERI EKOSISTEM Riska Septia Wahyuningtyas
Jurnal Pro-Life Vol. 6 No. 3 (2019): November
Publisher : Program Studi Pendidikan Biologi Fakultas Keguruan dan Ilmu Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/jpvol6Iss2pp102

Abstract

This research aims to determine the effect of using Project Based Learning models with Live Aquarium which uses native Indonesian species on cognitive study result. The research design is a quasi-experiment that uses a pretest posttest control group design model. The research population was all seventh grade students in Yogyakarta Junior High School 1 consist of 8 classes. The research sample was taken two classes based on cluster random sampling technique. The control class is VII A and the experimental class is VII B. The instruments that used in this study were observation sheets of learning implementation with the PjBL model and the pretest and posttest to find out the cognitive study result. The data from this research were analyzed by ANOVA test. The results showed that learning with the Project Based Learning learning model with Live Aquarium that uses native Indonesian species had a positive effect on cognitive study result. Keywords: cognitive study result, project-based learning, student.
KARAKTERISTIK STOMATA BERDASARKAN ESTIMASI WAKTU DAN PERBEDAAN INTENSITAS CAHAYA PADA DAUN Hibiscus tiliaceus Linn. DI PANGANDARAN, JAWA BARAT Tia Setiawati; Inneke Febrihardianti Syamsi
Jurnal Pro-Life Vol. 6 No. 2 (2019): Juli
Publisher : Program Studi Pendidikan Biologi Fakultas Keguruan dan Ilmu Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/jpvol6Iss2pp102

Abstract

Hibiscus tiliaceus L. is useful as shade plants, medicinal, and wood carvings. Optimizing utilization of plants depends on environmental conditions, one of which is sunlight that affects stomatal. Each plant has a different response to the stress of sunlight such as the ability to open and close the stomatal. This study aims to determine the differences in the stomatal characteristics of Hibiscus tiliaceus’s leaves based on time estimation and difference of light intensity were determined using the replica method in Pananjung Pangandaran Nature Reserve, West Java. The results showed that the lowest and highest average length and width of porous stomatal, the number of open and closed stomatal, and the density of stomatal in shaded areas were 6 µm (morning and noon), 2.77 µm (afternoon), 6, respectively. 93 µm (morning), 3.83 µm (afternoon), 43 cells, 8 cells, and 259.86 cells / mm2, whereas in the non-shaded area 5.5 µm (morning), 2.97 µm (afternoon ), 7 µm (day and evening), 4.1 µm (afternoon), 18 cells, 26 cells, and 224.20 cells / mm2. The opening of stomatal in the non-shaded area is greater than the shaded. The estimated time, difference light intensity, and physical factors influence the parameters of the study. Keywords: Hibiscus tiliaceus L., light intensity, stomatal characteristics, time estimation.
PENANGANAN PASCAPANEN JERUK SIAM (Citrus nobilis var. microcarpa) TUJUAN PASAR SWALAYAN Endang Christine Purba; Bambang S. Purwoko
Jurnal Pro-Life Vol. 6 No. 3 (2019): November
Publisher : Program Studi Pendidikan Biologi Fakultas Keguruan dan Ilmu Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/jpvol6Iss2pp102

Abstract

Citrus Siam (Citrus nobilis var. microcarpa) is a horticultural commodity that is widely consumed by Indonesian people. In addition to practically obtained, siam citrus also have a good nutritional content for human diet. This causes Indonesian markets always strives to meet the needs of consumers obtained from the producers of the citrus. However, in its distribution, the citrus siam experiences post-harvest handling which results in post-harvest losses. To find out the marketing chain of siam distribution and the loss of its crops, a research was conducted to investigate the situation in North Sumatra. A total of 37 citrus farmers in Simpang Empat and Payung Sub-districts were interviewed for data collection. In addition, gatherers,marketsuppliers and supermarkets are also interviewed as informants in this study. This research used direct interview method to respondents and direct observation at activity location of informants.The data analysis used descriptive analysis. Stages of post-harvest handling of citrus siam vary by point of marketing. The process of post-harvest handling of citrus siam is cleaning, sorting, grading, packaging, storage and transportation. The process of post harvest handling is done at the level of farmers, market suppliers and supermarkets. Total losses of the largest was at the farmer level of 5.6% while the smallest yield loss was at the supermarket level of 0.5%. This is due to the preparation of small citrus siam at the very bottom of the bamboo packaging and large fruit packing at the top. Keywords: citrus, farmers, loss of crops, post-harvest handling
TOKSISITAS EKSTRAK EKSTRAKSI SERBUK GERGAJI KAYU SENGON LAUT (Albizia falcataria L. Forberg) TERHADAP MORTALITAS Hypothenemus hampei Ferr. (COLEOPTERA: SCOLITYDAE) Paramita Pratiwi; Rudju Winarsa; Purwatiningsih Purwatiningsih
Jurnal Pro-Life Vol. 6 No. 2 (2019): Juli
Publisher : Program Studi Pendidikan Biologi Fakultas Keguruan dan Ilmu Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/jpvol6Iss2pp102

Abstract

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Ten of extract tested to insect by using contact method. Ten of extract tested to insect by using contact method. Ten of extract tested to insect by using contact method. Ten of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 of H. hampei were used for each concentration and replicated 10 times. Mortality insects was recorded 24, 48 and 72 hours. The data was analyzed using GLM (General Linear Model) teand 72 hours. The data was analyzed using GLM (General Linear Model) teand 72 hours. The data was analyzed using GLM (General Linear Model) teand 72 hours. The data was analyzed using GLM (General Linear Model) teand 72 hours. 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The data was analyzed using GLM (General Linear Model) teand 72 hours. The data was analyzed using GLM (General Linear Model) teand 72 hours. The data was analyzed using GLM (General Linear Model) teand 72 hours. The data was analyzed using GLM (General Linear Model) teand 72 hours. The data was analyzed using GLM (General Linear Model) teand 72 hours. The data was analyzed using GLM (General Linear Model) teand 72 hours. The data was analyzed using GLM (General Linear Model) teand 72 hours. The data was analyzed using GLM (General Linear Model) teand 72 hours. The data was analyzed using GLM (General Linear Model) teand 72 hours. The data was analyzed using GLM (General Linear Model) teand 72 hours. The data was analyzed using GLM (General Linear Model) te and 72 hours. The data was analyzed using GLM (General Linear Model) teand 72 hours. The data was analyzed using GLM (General Linear Model) teand 72 hours. The data was analyzed using GLM (General Linear Model) teand 72 hours. The data was analyzed using GLM (General Linear Model) te and 72 hours. The data was analyzed using GLM (General Linear Model) teand 72 hours. The data was analyzed using GLM (General Linear Model) teand 72 hours. The data was analyzed using GLM (General Linear Model) te and 72 hours. The data was analyzed using GLM (General Linear Model) teand 72 hours. The data was analyzed using GLM (General Linear Model) te and 72 hours. The data was analyzed using GLM (General Linear Model) te and 72 hours. The data was analyzed using GLM (General Linear Model) te and 72 hours. The data was analyzed using GLM (General Linear Model) te and 72 hours. The data was analyzed using GLM (General Linear Model) te and 72 hours. The data was analyzed using GLM (General Linear Model) teand 72 hours. The data was analyzed using GLM (General Linear Model) teand 72 hours. The data was analyzed using GLM (General Linear Model) te and 72 hours. The data was analyzed using GLM (General Linear Model) teand 72 hours. The data was analyzed using GLM (General Linear Model) te and 72 hours. The data was analyzed using GLM (General Linear Model) teand 72 hours. The data was analyzed using GLM (General Linear Model) te st and st and st and st and st and st and Duncan DuncanDuncanDuncanDuncan test at 95% confidence test at 95% confidence test at 95% confidence test at 95% confidence test at 95% confidence test at 95% confidence test at 95% confidence test at 95% confidence test at 95% confidence test at 95% confidence test at 95% confidence test at 95% confidence test at 95% confidence test at 95% confidence test at 95% confidence level. Results showed that methanol extract of level. Results showed that methanol extract of level. Results showed that methanol extract of level. Results showed that methanol extract of level. Results showed that methanol extract of level. Results showed that methanol extract of level. Results showed that methanol extract of level. Results showed that methanol extract of level. Results showed that methanol extract of level. Results showed that methanol extract of level. Results showed that methanol extract of level. Results showed that methanol extract of level. Results showed that methanol extract of level. Results showed that methanol extract of level. Results showed that methanol extract of level. Results showed that methanol extract of level. Results showed that methanol extract of level. Results showed that methanol extract of level. Results showed that methanol extract of level. Results showed that methanol extract of level. Results showed that methanol extract of level. Results showed that methanol extract of level. Results showed that methanol extract of level. Results showed that methanol extract of level. Results showed that methanol extract of level. Results showed that methanol extract of level. Results showed that methanol extract of SengonSengon SengonSengonSengon wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. wood sawdust had significant effect on the mortality of H. hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of hampei after 72 hours. It can be concluded that methanol extract of SengonSengon SengonSengonSengon wood sawdust could increase thewood sawdust could increase thewood sawdust could increase thewood sawdust could increase thewood sawdust could increase thewood sawdust could increase thewood sawdust could increase thewood sawdust could increase thewood sawdust could increase thewood sawdust could increase thewood sawdust could increase thewood sawdust could increase the wood sawdust could increase the wood sawdust could increase thewood sawdust could increase the wood sawdust could increase thewood sawdust could increase the wood sawdust could increase the wood sawdust could increase the wood sawdust could increase thewood sawdust could increase the wood sawdust could increase the wood sawdust could increase the mortality of H. hampei. mortality of H. hampei.mortality of H. hampei. mortality of H. hampei. mortality of H. hampei. mortality of H. hampei.mortality of H. hampei.mortality of H. hampei.mortality of H. hampei.mortality of H. hampei. mortality of H. hampei.Keywords: Hipotenemus hampei, mortality, Sengon wood sawdust, toxcicity.
RESPON PERTUMBUHAN Hedychium borneense R.M. Sm. (Zingiberaceae), TUMBUHAN ENDEMIK DAN SEMI-EPIFIT DARI KALIMANTAN DENGAN PERBEDAAN MEDIA TANAM Trimanto Trimanto; Destario Metusala; Suhartono Suhartono
Jurnal Pro-Life Vol. 6 No. 3 (2019): November
Publisher : Program Studi Pendidikan Biologi Fakultas Keguruan dan Ilmu Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/jpvol6Iss2pp102

Abstract

Information on the type of appropriate growing media for plant species in Zingiberaceae family has not been widely provided. This study aimed to examine the effect of several types of growing media on the growth of Hedychium borneense, an endemic and semi-epiphytic Zingiberaceae from Kalimantan. The study was conducted in a completely randomized design and the data has been analyzed using anova 1 way test. The results showed that the type of growing media gave a significant effect on plant height and number of shoots (tillers), but did not affect the number of leaves. The best growing media for the highest plant height average were sphagnum moss and sand + compost. These two types media, sphagnum moss and sand + compost, also give more shoots significantly compared to the other media. The highest life percentage is showed by the sphagnum moss media with 100% rate of life. Therefore, sphagnum moss and mixing media between sand + compost (1: 1) are the best growing media for semi-epiphytic H. borneense plants. Keywords: Epifit, Media Tanam, Hedychium borneense, Zingiberaceae.
JENIS TUMBUHAN OBAT TRADISIONAL DARI MASYARAKAT DAYAK KENYAH UMA BAHA DI KECAMATAN KELAY KABUPATEN BERAU Lonita Lonita; Medi Hendra; Nova Hariani
Jurnal Pro-Life Vol. 6 No. 3 (2019): November
Publisher : Program Studi Pendidikan Biologi Fakultas Keguruan dan Ilmu Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/jpvol6Iss2pp102

Abstract

medicine in the Dayak Kenyah Uma Baha tribe. The method that used in this research is an exploratory survey with the PRA (Participatory Rural Appraisal). The result shows that there are 70 medicine plants species which grouped into 39 families and obtained from 45 respondents. The part of the plant that usually used by the Dayak Kenyah Uma Baha tribe is root, tuber/rhizome, stem, tree bark, sap, leaves, flowers, fruit, and seed. The most commonly used are leaves (54%) and the least used part is a flower (1%). The process traditional medicinal plants carried out by the Dayak Kenyah Uma Baha tribe is to be boiled, pounded, grated, squeezed, brewed, burned and directly used. The most commonly used method is boiled (35%) and the least used method is burning (1%). The utilization of habitus based medicinal plants used by the Dayak Kenyah Uma Baha tribe is herbaceous habitus (39%) and the least used is epiphytic habitus (1%). Keyword: Dayak Kenyah Uma Baha tribe, traditional medicinal plants, medicinal plants species

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