Implementasi Sensor Ultrasonik Dalam Mendeteksi Volume Limbah B3 Pada Tempat Sampah Berbasis Internet of Things

In the process of monitoring the capacity of the B3 waste storage facility at PT Fadira Teknik, the manual method is still used to determine whether the waste load is full (ready to be disposed) or not. Where in the process, workers must come and look directly at the B3 waste storage area. This will increase jobs for factory workers because they must always monitor the level of B3 waste before or after carrying out work. Apart from being harmful to humans, the B3 waste disposed of from the factory is in the form of small particles such as invisible dust which can be accidentally inhaled by the nose or into the eyes of the workers. Therefore the aim of this research is to create a smart trash can system that can monitor the volume of B3 waste in the trash, where the trash uses the IoT (Internet of Things) system by utilizing the Arduino Uno component as a microcontroller and ultrasonic sensor to detect the volume of waste then sends waste volume data to the Blynk application via the internet network to display information on the capacity of the trash. The research method used is the experimental method starting from system analysis, system design, system implementation, testing and evaluation. Testing on this smart trash system uses black box testing with the results of these tests being quite good where each test case is as expected.

Analysis of semi-open queueing networks using lost customers approximation with an application to robotic mobile fulfilment systems

We consider a semi-open queueing network (SOQN), where one resource from a resource pool is needed to serve a customer. If on arrival of a customer some resource is available, the resource is forwarded to an inner network to complete the customer’s order. If no resource is available, the new customer waits in an external queue until one becomes available (“backordering”). When a resource exits the inner network, it is returned to the resource pool. We develop a new solution approach. In a first step we modify the system such that new arrivals are lost if the resource pool is empty (“lost customers”). We adjust the arrival rate of the modified system such that the throughputs in all nodes of the inner network are pairwise identical to those in the original network. Using queueing theoretical methods, in a second step we reduce this inner network to a two-station system including the resource pool. For this two-station systems, we invert the first step and obtain a standard SOQN which can be solved analytically. We apply our results to storage and delivering systems with robotic mobile fulfilment systems (RMFSs). Instead of sending pickers to the storage area to search for the ordered items and pick them, robots carry shelves with ordered items from the storage area to picking stations. We model the RMFS as an SOQN to determine the minimal number of robots.

Influence of Load on Reliability of Storage Area Networks

During the coronavirus pandemic, telecommuting is widely required, making remote data access grow significantly. This requires highly reliable data storage solutions. Storage area networks (SANs) are one of such solutions. To guarantee that SANs can deliver the desired quality of service, cascading failures must be prevented, which occur when a single initial incident triggers a cascade of unexpected failures of other devices. One such incident is the data loading/overloading, causing the malfunction of one device and further cascading failures. Thus, it is crucial to address influence of data loading on the SAN reliability modeling and analysis. In this work, we make contributions by modeling the effects of data loading on the reliability of an individual switch device in SANs though the proportional-hazards model and accelerated failure-time model. Effects of loading on the reliability of the entire SAN are further investigated through dynamic fault trees and binary decision diagrams-based analysis of a mesh SAN system.

Pelatihan Perencanaan Optimalisasi Sistem Lahan Pertanian Masyarakat Desa Kramat Kabupaten Lamongan

Reservoir is a container or place for storing raw water, which will later be used as a temporary water storage area, then used as a place for water treatment for the continued growth of rice plants. In addition to rice plants, reservoirs are also used to minimize drought disasters in the dry season. The construction of this reservoir will be used by the Kramat village community to improve the economy in two sectors, namely agriculture and village potential, Kramat village itself is one of the villages in Lamongan Regency which has an area of ​​194.80 hectares and is located in Lamongan sub-district which has a population of 2,012 people. Most of their livelihoods are farmers. Seeing such conditions, farmers need facilities to help meet the needs of raw water for their agricultural land which will be planned with the planning method carried out by the construction of the reservoir with various stages such as measuring with 2 methods, either surveying in the field or utilizing digital applications or software using fields area or Google earth, after finding the size, then we can determine the sketch of the image on the reservoir by drawing in AutoCAD software. The area of ​​land used for the construction of the reservoir has an area of ​​1,452.03 m2, which is later estimated to be able to accommodate 8,507,190 L of water. The total volume of excavation work is 8,507.19 m3 with an estimated work period of 23 days. Excavator pc 200 heavy equipment operational cost : Rp. 101.200.000 per 23 days and for Dump truck capacity of 8 m3: Rp. 2,400,000 (2 dump trucks) per day.

Triggering and propagation of exogenous sediment pulses in mountain channels: insights from flume experiments with seismic monitoring

In the upper part of mountain river catchments, large amounts of loose debris produced by mass-wasting processes can accumulate at the base of slopes and cliffs. Sudden destabilizations of these deposits are thought to trigger energetic sediment pulses that may travel in downstream rivers with little exchange with the local bed. The dynamics of these exogenous sediment pulses remain poorly known because direct field observations are lacking, and the processes that control their formation and propagation have rarely been explored. Here we carry out flume experiments with the aims of investigating (i) the role of sediment accumulation zones in the generation of sediment pulses, (ii) their propagation dynamics in low-order mountain channels, and (iii) the capability of seismic methods to unravel their physical properties. We use an original setup wherein we supply liquid and solid discharge to a low-slope storage zone acting like a natural sediment accumulation zone that is connected to a downstream 18 % steep channel equipped with geophones. We show that the ability of the self-formed deposit to generate sediment pulses is controlled by the fine fraction of the mixture. In particular, when coarse grains coexist with a high content of finer particles, the storage area experiences alternating phases of aggradation and erosion strongly impacted by grain sorting. The upstream processes also influence the composition of the sediment pulses, which are formed by a front made of the coarsest fraction of the sediment mixture, a body composed of a high concentration of sand corresponding to the peak of solid discharge, and a diluted tail that exhibits a wide grain size distribution. Seismic measurements reveal that the front dominates the overall seismic noise, but we observe a complex dependency between seismic power and sediment pulse transport characteristics, which questions the applicability of existing seismic theories in such a context. These findings challenge the classical approach for which the sediment budget of mountain catchments is merely reduced to an available volume, since not only hydrological but also granular conditions should be considered to predict the occurrence and propagation of such sediment pulses.

Numerical Simulation of Flow within a storage area of HDPE modular pavement

The development of stromwater management usually promote to provide the safe passage of stromwater. However physical modelling need expensive laboratory experiments. Due to that this numerical study is performed to study the flow within storage area of HDPE modular pavement. This paper studied and compared the infiltration rate of diagonal modular and conventional pavement (control), determined the velocity magnitude and pressure of modular pavement at various rainfall intensities. FLOW-3D was used to run a simulation on a porous media flow model using the Navier-Stokes equation. Real rainfall data of Malaysia was used as the model inputs to get better analysis of pavement design. The present findings showed that storage area modular pavement has lower fraction of fluid than control, which means that it has greater holding capacity and capable to capture all the rainfall volume from 5mm/h to 85mm/h. Besides, rainfall intensity has a strong influence on velocity magnitude and pressure. The HDPE diagonal modular pavement strong enough to sustain with an increasing of velocity magnitude and pressure during extreme rainfall. Therefore, HDPE modular pavement indicates a better water interception capacity than conventional pavement. FLOW-3D helps the critical analysis of pavement design process and useful as supplementary tool.

Real-time Monitoring of Temperature and Relative Humidity and Visualization of Pest Survey Data for Integrated Pest Management in Collection Storage Area

Temperature and humidity data collection using real-time sensors and data loggers was conducted for integrated pest management in the collection storage and exhibition space of the Jeongnimsaji Museum, Buyeo. The real-time temperature and humidity monitoring system collected measurement data every 30 minutes and enabled real-time confirmation of the data through a linked application. If the temperature and humidity data measured in the real-time temperature and humidity monitoring system exceeds the set range, a push notification was sent to the mobile phone of the person in charge to provide status information to establish a continuous management system. Through this, it was possible to immediately recognize and take action when the temperature range exceeded the recommended relic temperature in August. We performed data visualization on the concentration of airborne fungus in the storage area and the inflow path and density of insects. Based on the recommended criteria presented by the National Institute of Cultural Heritage, The data on the spatial and temporal concentration of airborne fungus inside the collection storage were found to be maintained at a value below the standard recommended by the National Institute of Cultural Heritage (80 CFU/m3). Also, as a result of the insect inflow survey, no insects were captured inside the storage area, and in the case of the exhibition space, insects such as Scutigera coleoptrata, Loxoblemmus arietulus, Diestrammena asynamora, Koreoniscus racovitzai were captured. Based on this, as a result of visualization according to the individual density of captured insects by area, it was confirmed that the main inflow paths of insects were the external entrance and the toilet area.

On Hypsometric Curve and Morphological Analysis of The Collapsed Irrigation Reservoirs

To identify the drought and flood control functions of an irrigation reservoir, research on hydrological analysis and its impact needs to be conducted. To this end, geographical characteristics, such as the cross section of the reservoir, are important, but such information is insufficient. Therefore, this study aimed to identify the topographic and morphological characteristics of reservoirs without measured data using their geographical information. In addition, an attempt was made to identify the morphological characteristics of reservoirs that had collapsed due to aging and the increased frequency of occurrence of strong rainfall intensity caused by climate change. Ten reservoirs, including the Ga-Gog Reservoir located in Miryang city, Gyeongsangnam province, South Korea with measured data, were selected as target reservoirs. The topographic information of the target reservoirs was constructed using topographical maps and GIS techniques. Based on the information, the volume (V)-area (A)-depth (H) relationship and the hypsometric curve (HC) according to the relative height (h/H) and relative area (a/A) were created. When the volume of each reservoir estimated using topographic information was compared with the measured volume, the error rate was found be between 0.23 and 14.27%. In addition, two reservoirs that had collapsed near Miryang city were added, and the V-A-H relationship and HCs were created based on the topographic information. In addition, the morphology index, storage-area of full water-levee height relationship, and storage-area of full water relationship were analyzed to identify the morphological characteristics of the reservoirs. The analysis results showed that the collapsed reservoirs had a relatively high water depth and a large area. In addition, similar types of reservoirs were grouped by conducting cluster analysis using basic specifications, such as the reservoir watershed, storage, and area of full water. When the cluster analysis results were analyzed based on HC, the reservoirs were grouped into three shapes: convex upward shape (youthful stage), relatively flat shape (mature stage), and convex downward shape (old stage). The HCs of the collapsed reservoirs exhibited the convex downward shape (old stage), indicating that they were subjected to considerable erosion due to aging. In other words, considerable erosion makes the allowable storage capacity insufficient due to the large amount of sediment accumulated in reservoirs and reduces their flood control capacity, which may cause them to collapse during heavy rainfall. Therefore, it is expected that identifying the potential causes of reservoir collapse through the morphological characteristics and HCs of reservoirs will support the operation and management of reservoirs for reducing flood damage.

Handwashing Behavior Using Soap, Physical Conditions of Cooking Food Storage and Deare Incidence

BACKGROUND: Diarrhea is an endemic disease in Indonesia and is also a potential disease outbreak which is often accompanied by death. In 2015, the number of diarrhea sufferers in the working area of the Parang Health Center ranked first as many as 782 people. AIM: This study aims to determine whether the behavior of washing hands with soap and the physical condition of the cooking food storage area is a supporter of the incidence of diarrhea in Pragak Village, Parang District, Magetan Regency. MATERIALS AND METHODS: This type of analytic research with case–control design. The population of Pragak village is 2500 families. The sample is a resident of Pragak Village, who suffers from diarrhea and does not suffer from diarrhea at the same time by 40 respondents; the sampling method is simple random sampling technique. The independent variable is the behavior of washing hands using soap; the physical condition of the cooking food storage area, the dependent variable is the incidence of diarrhea. Data collection by means of questionnaire interviews and direct observation. Data analysis with Chi-square statistical test. RESULTS: The results of the statistical test obtained p-value (0.027) < (0.05) which means that there is a relationship between the behavior of washing hands with soap on the incidence of diarrheal disease and odds ratio (OR) (4.333 > 1) is a risk factor. The results of the statistical test of the physical condition of the cooking food storage area obtained p-value (0.695) > (0.05) which means that there is no relationship between the physical condition of the cooking food storage area to the incidence of diarrheal disease and OR (0.529) < 1 is a protective factor. CONCLUSION: The conclusion of the study stated that the behavior of washing hands with soap was proven to be a contributing factor to the incidence of diarrheal disease. Meanwhile, the physical condition of the storage area for cooked food is not considered a factor in the incidence of diarrheal disease.