Indonesia Conference Directory

Corresponding Author
Indri Liani Sartika

Institutions
Bandung Institute of Technology

Abstract
Induced polarization (IP) method is part of the geoelectric methods that is often used in metal exploration. Data interpretation from induced polarization survey requires a fast and efficient forward modeling algorithm. In this study, a forward modeling of induced polarization scheme for 2D environment was developed. The finite element method (FEM) was used for calculating the IP responses for a 2D subsurface resistivity model. The FEM was implemented in the scheme by using the Galerkin approach. The modeling scenarios were divided into two: the first is a case where the subsurface was a homogeneous resistivity whereas the values of injected current were varied. The second case is where the subsurface posses two resistivity layers with a constant value at the injected current. The result show that at a constant current, the electric potential differences are proportional to the resistivity value. Whereas for the two-layers case, the increase in the potential difference is proportional to the increase in resistivity and that current penetrates deeper in the resistive layer.

Keywords
Induced Polarization, Finite Element Method, Earth Science

Topic
Complex system modelling

Link: https://ifory.id/abstract/Q7wEXDCJe9Km

Corresponding Author
Ariq Dhia Irfanudin

Institutions
a) System Modeling Laboratory, State Islamic University Sunan Gunung Djati Bandung
Jalan A. H. Nasution 105, Bandung 40614, Indonesia
*1157030004[at]student.uinsgd.ac.id
b) Nuclear and Biophysics Laboratory, Bandung Institute of Technology
Jalan Ganesha 10, Bandung 40132, Indonesia

Abstract
The flocking phenomenon has been exploring in many points of view. In simulating a flocking, there are some models that capable describing it in a quantitive way such as the Vicsek model. In nature, Instead of a bird pay attention to all of the birds while doing flock, the bird only has to pay attention to the nearest-neighbor. It is costly during the simulation if a particle has to check its location relative to the whole of particles. Therefore, we serve an optimization method to handle it. There is quadtree, a tree data structure that will take a space then section it in four sections so on. This paper shows the approach by simulation of the large-scale flocking system to be more efficient.

Keywords
Flocking, Vicsek Modeling, Quadtree

Topic
Complex system modelling

Link: https://ifory.id/abstract/k7GjLyMDFmZQ

Corresponding Author
Shinta Palupi

Institutions
a) Faculty of Mathematics and Natural Sciences, Bandung Institute of Technology
Jalan Ganesha 10, Bandung 40132, Indonesia
b) School of Life Science and Technology, Bandung Institute of Technology
Jalan Ganesha 10, Bandung 40132, Indonesia
*shintajudono[at]gmail.com

Abstract
Indonesian Legumes and Tuber Crops Research Institute has established basic procedure for cultivating soybean to reduce the problems regarding soybean yield in Indonesia. Using the established procedure, this study is conducted in order to define the mathematical model of Glycine max. (soybean) var. Anjasmoro plant growth. Physiological parameters such as plant height, number of leafs, flowering age, pods emerging age, plant mass, shoot to root ratio, number of pods, pod mass, total nitrogen content in plant tissue and growing media, and the water requirement during cultivation process are also being observed to obtain supporting data needed. Cultivation process is started by preparing inceptisol soil added with cow manure (with 2 tons/hectare dosage) before planting, and synthetic fertilizer in 3 weeks after plating (WAP) that consists of urea (with 25 kg/hectare), SP-36 (with 50 kg/hectare dosage), and KCl (with 75 kg/hectare dosage). Water supply is adjusted to the plant’s field capacity and is given manually once every two days. Plant’s field capacity is calculated using Blanney-Criddle method. Insecticide Matador with dosage of 1ml/L and fungicide Dithane with dosage of 3g/L are used for pest eradication during the cultivation process. Cultivation process is done using 2 main plots, each has 39 polybags. Plants and growing medium observation are done once every week within 13 weeks by taking samples from 3 polybags of each plot randomly chosen. During the cultivation process, average rate of total nitrogen content in growing medium varies from 0.20% to 4.01%, the lowest rate occurs before additional material added to soil, while the highest rate occurs at 1 WAP, in line with nitrogen fixing microbe population that is also on its highest rate at the same time. The average rate of total nitrogen content in plant tissue varies from 1.80% to 8.07%, with the lowest rate occurs at 8 WAP along with flower emergence, and the highest rate occurs at 4 WAP when the plant is still on its active vegetative phase. Total nitrogen content is affected by total population of nitrogen fixing microbe that varies from 0.27 x 106 CFU/ml to 16.87 x 106 CFU/ml. Average rate of water required by soybean plants during cultivation process varies from 0,4902mm/day to 3,8017mm/day, and it most strongly affects on plant’s vegetative phase, flower emergence phase, and pod filling phase. The mathematical model of Glycine max. (soybean) var. Anjasmoro plant growth based on its height increase is y = 91107ln(x) - 34.662, and based on its number of pods increase is y = 63.751ln(x) - 36.048.

Keywords
Growth, Nitrogen, Soybean, Water

Topic
Complex system modelling

Link: https://ifory.id/abstract/KYhdH28L3uxt