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Toksisitas Ekstrak n-heksana Serbuk Gergaji Kayu Sengon (Albizia falcataria l. Forberg) terhadap Mortalitas Serangga Penggerek Buah Kopi (Hypothenemus hampei ferr.) (Scolytidae: Coleoptera) Purwatiningsih Purwatiningsih; Firna Putri Mandasari; Susantin Fajariyah
Biotropic : The Journal of Tropical Biology Vol. 3 No. 1 (2019): Biotropic, Volume 3, Nomor 1, 2019
Publisher : Program Studi Biologi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (624.45 KB) | DOI: 10.29080/biotropic.2019.3.1.39-48

Abstract

Research on the toxicity of n-hexane extract of Albizia falcataria sawdust against Hypothenemus hampei has been conducted. The method of research was contact method. The concentrations used in the experiment were control (aquadest); 0.25%; 0.5%; 1%; 2%; and 4%. Every concentration was sprayed on the female imago. Observations were performed 120 hours after treatment. The results showed that there was an effect of the length of observation time and concentration on the mortality of H. hampei (GLM Test α= 5%). The time of observation and concentration of A. falcataria sawdust n-hexane extract has positive correlation on H. hampei mortality. Therefore, the longer the treatment time, the more H. hampei mortality is increased. The mortality of H. hampei also increased with increasing concentration given. At a concentration of 4%, extract of A. falcataria sawdust has high toxicity which causes the highest mortality (> 92%).
Inventory of Butterfly (Lepidoptera: Rhopalocera) at Agrotechno Park The University of Jember P. Purwatiningsih; Widyantari Anggreini; Rendy Setiawan
BERKALA SAINSTEK Vol 10 No 1 (2022)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v10i1.20349

Abstract

The exploration of the butterfly on The University of Jember has been conducted. The objective of this study is to explore the diversity of butterfly on UPT Agrotechno Park The University of Jember. The research has been done during August to September 2020. Sampling was carried out by scanning methods in the fields with sweeping net. The results revealed the existence of 18 genus with four belonging to the families Papilionidae, Pieridae, Nymphalidae, and Lycaenidae. Moreover 24 species had been identified namely Papilio sp. 1, Papilio sp. 2, Troides sp., Graphium sp., Appias sp., Catopsilia sp., Delias sp. 1, Delias sp. 2, Eurema sp.1, Eurema sp. 2, Leptosia sp., Euthalia sp. 1, Euthlia sp. 2, Dophla sp., Elymnias sp., Euploea sp. 1, Euploea sp. 2, Hypolimnas sp., Junonia sp. 1, Junonia sp 2, Discophora sp., Acraea sp., Zizina sp. dan Lampides sp. Butterflies use plants as host plants and food plants. High host plant diversity is directly proportional to the diversity of butterfly species. The UPT Agrotechnopark Universitas Jember has 1 hectare of land in which there are collections of fruit, vegetable, ornamental, medicinal and food plants. The high diversity of host and forage plants in the UPT Agrotechnopark is a good habitat for butterflies. However, identification to the species taxa are further needed.
Distribusi dan Frekuensi Alel Golongan Darah Sistem ABO dan Rhesus pada Penduduk Pulau Gili Ketapang Probolinggo Kirana Eka Rezki; Rike Oktarianti; Hidayat Teguh Wiyono; Purwatiningsih Purwatiningsih
Jurnal Ilmiah Biosaintropis (Bioscience -Tropic) Vol 7 No 1 (2021): Agustus 2021
Publisher : Fakultas Matematika & Ilmu Pengetahuan Alam - Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (461.049 KB)

Abstract

Sistem penggolongan darah pada manusia yang banyak dikenal adalah sistem ABO dan rhesus. Tujuan penelitian ini adalah Mengetahui distribusi golongan darah sistem ABO dan rhesus serta frekuensi alel pada populasi penduduk pulau Gili Ketapang, kabupaten Probolinggo. Pengambilan sampel dilakukan secara acak dengan cara dilakukan pengundian jumlah sampel yang diambil sebanyak 384 jiwa. Identifikasi golongan darah sistem ABO pada penelitian ini dilakukan dengan metode slide dengan prinsip antigen (aglutinogen) yang direaksikan dengan antibodi (aglutinin). Hasil penelitian menunjukkan distribusi golongan darah sistem ABO dan Rhesus O+ (46,61%), B+ (24,22%), A+ (23,18%), dan AB+ (5,99%). Frekuensi alel IA(0,16), frekuensi alel IB (0,16), frekuensi alel i (0,68), dan frekuensi alel rhesus positif (Rh+) adalah 1
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

This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract SengonSengon SengonSengonSengon wood sawdust wood sawdust wood sawdust wood sawdust wood sawdust wood sawdust wood sawdust wood sawdust wood sawdust wood sawdust wood sawdust wood sawdust againstagainstagainstagainst againstagainst Hypothenemus hampei. There were 6 different con Hypothenemus hampei. There were 6 different conHypothenemus hampei. There were 6 different con Hypothenemus hampei. There were 6 different con Hypothenemus hampei. There were 6 different con Hypothenemus hampei. There were 6 different conHypothenemus hampei. There were 6 different conHypothenemus hampei. There were 6 different conHypothenemus hampei. There were 6 different conHypothenemus hampei. There were 6 different con Hypothenemus hampei. There were 6 different con Hypothenemus hampei. There were 6 different conHypothenemus hampei. There were 6 different con Hypothenemus hampei. There were 6 different con Hypothenemus hampei. There were 6 different con Hypothenemus hampei. There were 6 different conHypothenemus hampei. There were 6 different con Hypothenemus hampei. There were 6 different con Hypothenemus hampei. There were 6 different conHypothenemus hampei. There were 6 different conHypothenemus hampei. There were 6 different conHypothenemus hampei. There were 6 different con Hypothenemus hampei. There were 6 different con Hypothenemus hampei. There were 6 different conHypothenemus hampei. There were 6 different con Hypothenemus hampei. There were 6 different con Hypothenemus hampei. There were 6 different conHypothenemus hampei. There were 6 different concentration centrationcentration centrationcentration centrations 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 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 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 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 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 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 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 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 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 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 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. 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) 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) 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.
Keanekaragaman Jenis Nyamuk yang Berpotensi Sebagai Vektor Penyakit (Diptera: Culicidae) di Taman Nasional Baluran, Indonesia Purwatiningsih Purwatiningsih; Rike Oktarianti; Rendy Setiawan; Wahyu Tri Agustin; Aida Mursyidah
Al-Kauniyah: Jurnal Biologi Vol 14, No 2 (2021): AL-KAUNIYAH JURNAL BIOLOGI
Publisher : Department of Biology, Faculty of Science and Technology, Syarif Hidayatullah State Islami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/kauniyah.v14i1.12918

Abstract

AbstrakNyamuk famili Culicidae berperan sebagai vektor penyakit malaria, demam berdarah, dan demam chikungunya. Resort Labuhan Merak memiliki potensi besar sebagai tempat perindukan berbagai jenis nyamuk, baik sebagai vektor penyakit atau bukan. Penelitian ini bertujuan untuk mengetahui jenis-jenis nyamuk yang berperan sebagai vektor penyakit di Resort Labuhan Merak Kawasan Taman Nasional Baluran berdasarkan karakteristik morfologi. Pengambilan koleksi nyamuk dewasa dilakukan dengan metode landing collection. Nyamuk ditangkap dengan cara koleksi aktif menggunakan aspirator. Lokasi koleksi pada beberapa titik yaitu di dalam dan luar rumah, di sekitar kandang, serta di rawa. Hasil identifikasi terdapat tujuh jenis nyamuk, yaitu Aedes aegypti, Ae. Albopictus, Ae. indonesiae, Culex quinquefasciatus, Cx. vishnui, Cx. mammilifer, dan Cx. sitiens. Nyamuk Ae. indonesiae paling banyak ditemukan (69,4 %). Sementara itu, jenis nyamuk Cx. vishnui, Cx. mammilifer, dan Cx. sitiens ditemukan sangat sedikit (2,92 %). Ae aegypti dan Ae. albopictus telah diketahui berperan sebagai vektor penyakit demam berdarah dengue (DBD) dan chikungunya, sedangkan Cx. quinquefasciatus sebagai vektor penyakit filariasis limfatik, dan Cx. vishnui maupun Cx. sitiens sebagai vektor penyakit japanese encephalitis. Hal yang menarik pada penelitian ini adalah belum diketahuinya peran Ae. indonesiae dan Cx. mammilifer sebagai vektor penyakit. Indeks keanekaragaman nyamuk termasuk dalam kategori sedang.Abstract The Culicidae family is one of the mosquito disease vectors such as malaria, dengue fever, and chikungunya fever. Labuhan Merak resort Baluran National Park has great potency for mosquito breeding sites. The research aimed to determine the species of mosquitoes based on morphological characteristics as a disease vector. Mosquitoes were collected by landing collection method and active collection with an aspirator. The collection has been done at several points at the house both inside and outside; around the cage, and at the swamp. The results obtained 7 species of mosquitoes, there were Aedes aegypti, Ae. albopictus, Ae. indonesiae, Culex quinquefasciatus, Cx vishnui, Cx. mammilifer, and Cx. sitiens. Mosquito of A. indonesiae was the most common (69.4 %), while Cx. vishnui, Cx. mammilifer, and Cx. Sitiens were found very few (2.92 %). Ae. aegypti and Ae. albopictus has been known as a vector of dengue hemorrhagic fever and chikungunya, while Cx. quinquefasciatus as a vector of lymphatic filariasis, and Cx. vishnui and Cx. sitiens as a vector of japanese encephalitis disease. The interesting finding from this study is that Ae. indonesiae and Cx. mammilifer are not yet known for their role as disease vectors. The diversity index of the mosquitos’ species showed moderate category.
Morphological Description of Drosophila melanogaster Wild Type (Diptera:Drosophilidae), Sepia and Plum Strain Husnul Hotimah; Purwatiningsih Purwatiningsih; Kartika Senjarini
Jurnal ILMU DASAR Vol 18 No 1 (2017)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (229.395 KB) | DOI: 10.19184/jid.v18i1.3113

Abstract

Drosophila melanogaster is one of the insects which have a very important role in the development of the genetic science. Drosophila melanogaster have many mutation, recently there are many mutant such as sepia and plum strain. Morgan et al have found 85 strain mutan of Drosophila melanogaster. The purpose of these research was to characterize of morphological from the head, thorax, and abdomen. The result show that the morphological of Drosophilla melanogaster wild type, sepia and plum mutant have many similarities. The difference of them are the eyes color, Drosophila melanogaster wild type has red eye, sepia strain has a dark brown eye and plum has a dark purple eye.
Population Dynamics of Bemisia tabaci Genn. and Type of Predators Found on the Edamame Soybeans (Glycine max L.) in Mangli Jember Tulus Wijayanto; Sudarmadji Sudarmadji; Purwatiningsih Purwatiningsih; Hari Purnomo
Jurnal ILMU DASAR Vol 18 No 2 (2017)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (318.323 KB) | DOI: 10.19184/jid.v18i2.4116

Abstract

The study was conducted at the edamame plantation area of PT. Mitra Tani 27 Jember with the size of 31.6 m x 29.8 m. The sampling of imature B. tabaci was done by collecting the samples of leaves from the five plots of planting. The adult samples were taken by setting some yellow traps with the size of 20 x 30 cm. The results showed that the populations of B. tabaci changed during the growing season of edamame, the older the plants grow, the greater number of the populations. The highest number of B. tabaci adult population was in the age of 10 weeks after planting, those were 818 B. tabaci. The increase of the B. tabaci population had a significant correlation with the increase of the predators population on edamame. There were seven species of predators founded at the edamame. The highest number of predator founded was Coccinella transversalis and the lowest number of predator was Coccinella septempunctata. Keywords: Bemisia tabaci Genn., edamame Soybeans, yellow traps, C. transversalis
Biological Control Entomopathogenic Nematodes Heterorhabditis sp. and Steinernema sp. Pest Control Termite Land As Coptotermes sp. and Microtermes sp. in The District Lumajang Qodiriyah Qodiriyah; Didik Sulistyanto; Purwatiningsih Purwatiningsih
Jurnal ILMU DASAR Vol 16 No 1 (2015)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (187.051 KB) | DOI: 10.19184/jid.v16i1.1518

Abstract

This research aims to find out the most effective concentration (LC50) and the most effective time (LT50)  and  to select a biological agent netamoda of nematodes Steinernema sp. dan Heterorhabditis sp. as the environmentally friendly biological control agents on the ground termite Coptotermes sp. and   Microtermes sp. in Lumajang. All the data were analyzed by using the termite mortality percentage variance analysis. The LC50 and LT50 were tested by using the probit analysis. Therefore, the empirical probit values were obtained from the percentage of mortality after they were calculated by the Abbot formulation. The biological agents netamoda entomopathogenic Heterorhabditis sp. and Steinernema sp. had the high value on the pathogenicity of Coptotermes sp. and Microtermes sp., the LC50 values on Coptotermes sp. of nematodes Heterorhabditis sp. was 14.94 IJ/ml and Steinernema sp. was 15.22 IJ/ml., the LC50 values on Microtermes sp. of nematodes Heterorhabditis sp. was 16.54 IJ/ml and  Steinernema sp. was 20.39 IJ/ml., the LT50 values on Coptotermes sp. of nematodes Heterorhabditis sp. was 1.29 hours and Steinernema sp. was 1.35 hours, and the LT50 values on Microtermes sp. of nematodes Heterorhabditis sp. was 2.14 hours and Steinernema sp. was 1.82 hours. Through pathogenicity test, the entomopathogenic nematodes Heterorhabditis sp. is more effective to control subterranean termites compared with the nematode Steinernema sp. This happens because Heterorhabditis sp. are actively engaged and looking for a host so that there are a large number of possibilities of contacting them with a very large subterranean termites.Keywords: Entomopathogenic nematodes,   Heterorhabditis sp., Steinernema sp., LC50, LT50 
Antifeedant Activity from Leaves Extract of Aglaia ganggo Miq on Spodoptera litura Purwatiningsih Purwatiningsih; I Nyoman Adi Winata
Jurnal ILMU DASAR Vol 14 No 1 (2013)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (175.851 KB) | DOI: 10.19184/jid.v14i1.475

Abstract

The different fraction extracts (viz methanol, dichlorometana, n-hexane, ethylacetate, and aceton) obtained from leaves of Aglaia ganggo Miq were investigated for antifeedant activity against Spodoptera litura. All extract fractions showed antifeedant activity with aceton fraction exhibited the highest antifeedant activity at 1 ppm concentration. Only hexane fraction showed a dose dependent concentration while the other fractions exhibited the opposite respond.Keywords : Antifeedant, Aglaia ganggo, extract, fraction
The Diversity of Butterfly (Lepidoptera: Rhopalocera) in Triagle of Lakes Lumajang, East Java Afandi Afandi; Purwatiningsih Purwatiningsih; Jekti Prihatin
Jurnal ILMU DASAR Vol 24 No 1 (2023)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jid.v24i1.3817

Abstract

The triangle of lakes which are Bedali Lake, Klakah Lake and Pakis Lake area serves as a sanctuary for many wildlife including butterflies. Butterfly spesies at Ranu Bedali has ecological functions as herbivors, pollination, detrivor, as well as bioindicator of ecosystem changes. The objective of this study was to identify the diversity of butterflies in triangle of lakes Lumajang Regency. The sampling technique used was Abundance Point Index Method. All spesies captured were identified and analyzed. The results showed that the composition of butterflies have been obtained consisted of 4 families and 37 species. The most abundant family with a huge of species is Nymphalidae while the least family is Lycaenidea. The diversity index (H’) for the butterflies in Pakis Lake, Klakah Lake and Bedali Lake were 2.56; 2.73 and 2.76 respectively. The evenness index (E) for the butterflies in Pakis Lake, Klakah Lake and Bedali Lake were 0.43; 0.47 and 0.48 respectively. Among the butterlies, it found Troides helena was classified at the list of Appendix I and Appendix II CITES (Convention on International Trade in Endangered).