Jurnal ILMU DASAR
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Response of Entomopathogenic Fungus Paecilomyces fumosoroseus on Drought Stress Factor
Full text linkThe entomopathogenic fungus Paecilomyces fumosoroseus (common name: Isaria fumosorosea) can utilize to control white fly population. Bemisia tabaci or white fly has become key pest in soybean cultivation. It reported became resistance due to chemical pesticide. Some of new strain has been emerge as chemical pesticide resultant However, to develop P. fumosoroseus as biopesticide hide a problem. The environmental drought factor (temperature and water stress) become major problem. This research aimed to determine effect of environmental factor like temperature and water stress to growth and effectivity of P. fumosoroseus, due to selection an isolat were persist to drought factor. In this research has been used two different isolat of P. fumosoroseus, that is Wirowongso 1 isolat and Mumbulsari 5 isolates. This research had been conducted with five different treatments. First is a growth test under temperature stress, in vitro germination test under temperature stress and in vitro germination test under water stress, and virulence test under temperature and under water stress. The result showed that the increase a temperature and of water stress, directly make decreased of growth, germination and effectively. That effect has made different effect to growth, germination and effectivity on both isolat. The results showed that the isolat WR 1 test result showed the isolat WR 1 more persist to each drought factor. It became more valuable to develop as biopesticide among other.Keywords: Bemicia tabaci, germination, isolat, Isaria fumosorosea, in-vivo
The Influence of Various Growth Regulators on Induction Organogenic Callus from Gajah and Kuning Cassava Genotype (Manihot esculenta Crantz)
No full textKuning and Gajah genotypes are two collections of cassava in the Biotechnology Research Center for Germplasm, LIPI with the advantages of each genotype are high beta carotene and high production. The multiplication in in vitro culture can be done one of them through organogenesis. The aim of this study was to evaluate the effect of using 2,4-D; NAA and Kinetin are used singly for the formation of organogenesis of cassava in the Kuning Cassava and Gajah genotypes. This research was conducted at the Laboratory of Molecular Genetics and Modification of Plant Biosynthetic Pathways, Biteknologi Research Center, LIPI, Bogor since January - February 2018. The source of explants were young leaves and petiols from cassava plant culture in vitro genotypes of Gajah and Kuning yam which were three months old. in culture. The basic media used as a planting medium were Murashige and Skoog (MS) media with the addition of growth regulators (ZPT) singly, 2,4-D, NAA and Kinetin with two concentrations of ZPT each, 8 and 10 mg L- 1 This research was arranged based on a completely randomized design factorial pattern consisting of 2 factors. All data obtained were analyzed using ANOVA and if there is an influence then proceed with the DMRT test with an error rate of 5% using the SPSS program. The highest number of Kuning genotype cassava organogenic callus that developed into shoots on the medium added by ZPT was 2.4 D and kinetin with the same concentration of 8 mg L-1. Formation of the best organogenic callus in petiol explants in the media with the addition of a single 2,4-D and Kinetin with the same concentration of 8 mg L-1. Keywords: Cassava, growth regulators, organogenic
Identification of Secondary Metabolites and Proximate Analysis of Golden Apple Snails (Pomacea canaliculata L.) Meat Extract
Full text linkThe growth of golden apple snails is very rapid and causes losses of paddy production. Therefore snails are also called pest, especially agricultural pest. Control of golden apple snails can be done by physical hand sorting and then processed into animal feed. Based on research golden apple snails proven have good nutritional content. Efforts to use golden apples nails pets become useful things such as animal feed is a sustainable conservation. Therefore, this study aims to carry out secondary metabolites identification, proximate testing, and antioxidant content of golden apple snails as an initial reference for the basic ingredients of animal feed manufacturing. The method use is hand sorting of golden apple snails at the research location, then brought to the laboratory to carry out the process of secondary metabolites identification, proximate testing, and antioxidant analysis. The results showed a golden apple snails (Pomacea canaliculata L.) extract containing active compunds of alkaloids, flavonoids, tannins and polyphenols, steroids, and glycoside. Proximate analysis showed that golden apple snails extract had a high protein content of 40,83% compared to carbohydrates and fats. These findings suggested that golden apple snailsmeat extract has the potential to be further utilized as an alternative feed for Pangasius sp.Keywords: golden apple snails. Pangasius sp., proximate testing, secondary metabolites
Prevalence and Intensity of Parasitic Worms on Free-Range Chickens and Egg-Laying Chickens in Muara Badak sub-District, Kutai Kartanegara
Full text linkOne of the diseases often threatens the health of free-range chickens and egg-laying chickens are worm parasites (endoparasites). Parasites can be transmitted through food, drinks and the cage environment. Sanitation is one of the preventive steps carry out by farmers to protect livestock against infection from the environment. The objective of study was to determine the prevalence and intensity of parasitic worm eggs that infect the digestive tracts of free-range chickens and egg- laying hens in Muara Badak District. Research was done by observing worm eggs in fecal samples. A total of 60 samples consisting of 30 samples of egg-laying hens in Tanjung Village and 30 samples of free-range chickens in Badak Baru Village, Muara Badak. For the sample analysis technique used 2 methods are namely the floating method and the sedimentation method. The results has showed the type of worm eggs are infected the digestive tract found in free-range chickens and egg-laying chickens had consisted of Echinostoma revolutum, Raillietina echinobothrida, Raillietina tetragona, Davainea proglotina, Amoebotaenia sphenoides, Ascaridia galli, Capillaria annulata and Trichostrongylus tenuis. The highest prevalence in free- range chickens and egg-laying chickens were found in Ascaridia galli was 53.33% and 40%. While the lowest prevalence in free-range chickens against Raillietina echinobothrida and Amoebotaenia sphenoides 3.33%. egg-laying chickens are against Echinostoma revolutum, Raillietina tetragona and Trichostrongylus tenuis 6.67%. The highest intensity in free-range chickens and against Ascaridia galli was 141 eggs/individual and in egg-laying chickens was 139 eggs/individuals. The lowest intensity in this research was found in free-range chickens against Amoebotaenia sphenoides and Raillietina echinobothrida 3 eggs/individuals and egg-laying chickens against Echinostoma revolutum 5 eggs/individuals. Keywords: Endoparasites, Prevalence, Intensity, Chicken, hen
Simultaneous Analysis of Ammonium and Nitrate Ions Levels with Potentiometric Multi-commutation Flow System Method
Full text linkThis study aims to develop a multi-commutation flow system method for simultaneous determination of ammonium ion and nitrate ion using two detectors, namely ammonium ion selective electrode and nitrate ion selective electrode. The multi-commutation flow system method uses two three way selenoide valves to adjust the sample flow and ISA solution. The selenoid valve alternately flows the sample and ISA solution to the ion selective electrode. Flow control by three way selenoid valves is controlled by LabView which is programmed in the computer. The computer is connected with Arduino and a relay that functions as an on-off switch on the three way valve selenoid. This method is then applied to measure the levels of ammonium ions and nitrate ions in well water samples. The performance of the multi-commutation flow system determined includes linearity, limit detection, sensitivity, repeatability, and recovery test. Ammonium analysis results show good performance with several criteria. Ammonium linearity value is 0,9991, ammonium detection limit value is 2,23 × 10-5 M, sensitivity of ion selective electrode ammonium is 45,39 mV per decade, the repeability value is less than 2% and the recovery percentage of ammonium is 115%. While the results of the nitrate analysis showed a linearity value of 0,9937, a nitrate detection limit value of 1,31 × 10-5 M, sensitivity of the ion selective electrode nitrate of -110,58 mV per decade, a repeatability value of less than 2% and a recovery percentage of 87% nitrate. Keywords: Flow Analysis, multi-commutation, ammonium, nitrat, simultaneous
Classification of Underdeveloped Areas in Indonesia Using the SVM and k-NN Algorithms
Full text linkThe determination or classification of underdeveloped areas essentially consists of classifying several observations taking into account existing indicators. The classification method used is K-Nearest Neighbor (k-NN) and Support Vector Machines (SVM). This study aims to analyze the accuracy of the classification between SVM and k-NN algorithms in the classification of underdeveloped areas in Indonesia. The data source used in this study is secondary data obtained from the Central Bureau of Statistics (BPS). The data used are 514 districs and municipalities of Indonesia. After analysis, the conclusion is that there are 122 districs and municipalities that are left behind out of a total of 514 districs and municipalities in Indonesia. The most underdeveloped areas are on the island of Papua, followed by the areas of the islands of Bali and Nusa Tenggara, and Sulawesi. Based on the results of the classification of underdeveloped areas using the method SVM with the kernel RBF has the best results with the parameters C = 1 and γ = 0.05 while the results of the classification of underdeveloped areas using the method k-NN obtains the best results with k = 15 Based on the results of classification of underdeveloped areas using the SVM and the k-NN method, including the level of classification is very good. The two methods compared have the same precision value of 92.2% and can be used to determine the classification of underdeveloped areas. Keywords: classification, machine learning, supervised learning, underdeveloped areas
Effect of Macronutrient Combination on Survivorship, Growth, and Nutritional Content of Black Soldier Fly Larvae (Hermetia illucens)
Full text linkLarvae of black soldier fly (Hermetia illucens) has been widely applied as a biological agent for biodegradable wastes upcycling through bioconversion process. However, most of the biodegradable wastes produced from economic activities other than industrial is heterogenous. This may cause some physiological change which may alter the survivorship, growth, and efficiency of the bioconversion process. In this study, the substrate combination of macronutrients provided to black soldier fly larvae were observed to understand the larvae ability to degrade organic waste from economic activities. The substrat proportion consist of three major macronutrients (carbohydrate, protein, and lipid) and made of a mixture of decayed cabbage (Brassica oleracea) (source of carbohydrate), shark catfish (Pangasius sp.) (source of protein), and avocado (Persea americana) (source of lipid) which consisted of four types of substrate namely high fiber, high protein, high lipid, and balance. The feeding rate was 100 mg/larvae/day which provides every three days until 50% of larvae metamorphosed into prepupae. Mortality rate, the weight of larvae, and weight of residue (undigested substrate) were measured during substrate replacement and used to calculated survivorship rate, ECD (Efficiency of Conversion Digested-feed), AD (Approximate digestibility), and WRI (Waste Reduction Index). The proximate analysis also conducted on the harvested larvae biomass. The larvae group fed on high protein substrate showed best survivorship (64,75±2,60%), growth rate (2,97±0,166 mg/larvae/day), and AD (57,39±3,39) while the highest WRI recorded for larvae group fed on high fiber substrate and the highest ECD recorded for larvae group fed on high lipid substrate. The proximate analysis showed the best nutritional content of prepupae of larvae group fed on high protein substrate. It can be concluded that the proportion of macronutrients of substrate effect the growth and bioconversion performance of black soldier fly larvae. Some strategies related to the optimization of the bioconversion process for heterogeny substrate are discussed.Keywords: biodegradable wastes, black soldier fly, heterogeneity, growth, nutritional content, survivorship
Local Stability Dynamics of Equilibrium Points in Predator-Prey Models with Anti-Predator Behavior
Full text linkThis article describes the dynamics of local stability equilibrium point models of interaction between prey populations and their predators. The model involves response functions in the form of Holling type III and anti-predator behavior. The existence and stability of the equilibrium point of the model can be obtained by reviewing several cases. One of the factors that affect the existence and local stability of the model equilibrium point is the carrying capacity (k) parameter. If x3∗, y3∗ > 0 is a constant solution of the model and ∈ (0,x3∗), then there is a unique boundary equilibrium point Ek (k , 0). Whereas, if k ∈ (x4∗, y4∗], then Ek (k, 0) is unstable and E3 (x3∗, y3∗) is stable. Furthermore, if k ∈ ( x4∗, ∞), then Ek ( k, 0) remains stable and E4 (x4∗, y4∗) is unstable, but the stability of the equilibrium point E3 (x3∗, y3∗) is branching. The equilibrium point E3 (x3∗, y3∗) can be stable or unstable depending on all parameters involved in the model. Variations of k parameter values are given in numerical simulation to verify the results of the analysis. Numerical simulation indicates that if k = 0,92 then nontrivial equilibrium point Ek (0,92 ; 0) stable. If k = 0,93 then Ek (0,93 ; 0) unstable and E3∗(0,929; 0,00003) stable. If k = 23,94, then Ek (23,94 ; 0) and E3∗(0,929; 0,143) stable, but E4∗(23,93 ; 0,0005) unstable. If k = 38 then Ek(38,0) stable, but E3∗(0,929; 0,145) and E4∗(23,93 ; 0,739) unstable.Keywords: anti-predator behavior, carrying capacity, and holling type III
Nonpreemptive Goal Programing Method in Optimization Nurse Scheduling by Considering Education Level
Full text linkNurse scheduling is one of the problems that often arise in hospital management systems. Head of ICU room and nurse to cooperate in making good nurse scheduling for the creation of optimal service. In this paper, we study a hospital nurse schedule design by considering the level of nurse education and the provision of holidays. Nurses with undergraduate education (S1) Nurses become leaders on every shift and are accompanied by nurses with diploma education (D3). The scheduling model in this study using the nonpreemptive goal programming method and LINGO 11.0 software. The preparation of the schedule of nurses assigned to this method can optimize the need for efficient nurses per shift based on education level. The data in the research was obtained by collecting administrative data at Aloei Saboe Gorontalo hospital. The data used are the published schedule by the head of the ICU room. In making a nurse schedule, there are limitations to consider such ashospital regulation. The results of the study obtained an optimal solution in the form of meeting all the desired obstacles. Computational results shows that nurse scheduling using the nonpreemptive goal programming method and LINGO 11.0 software better than the schedule created manually. Every shift is a maximum of one leader with an undergraduate education (S1) background and accompanied by a nurse with a diploma education (D3) background. Keywords: scheduling, goal programming, nonpreemptive goal programming