International Journal on Advanced Science, Engineering and Information Technology
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An Empirical Validation of Foundation Models for Smart Government in Indonesia
Get PDFThe implementation of digital government to improve the quality of public services requires transforming services from just "electronic" services to becoming more "smart" services. Therefore, the government needs a strategy and policy to prepare a foundation model to work properly to achieve this transformation goal. This study aims to develop and validate the foundation model for a smart government system suitable for Indonesia's government. The mixed-method based on the quantitative and qualitative approaches was used in this study to explore important dimensions and components of smart government, which further need to be validated based on the triangulation data sources. Data were collected from the literature review, in-depth interviews with experts, online surveys with Indonesia citizens, and focus group discussions. As a result, there are four dimensions, and eleven components founded important to design the models. Dimension one is infrastructure with two components, including ICT dan non-ICT. Dimension two is a structure with six components, including leadership, human resources, governance and management, structures bureaucracy, budget constraints, and planning and policy. Dimension three is a superstructure with two components, including Regulations and Laws dan Planning and Policy; dimension four is culture with two components, including organizational culture and individual culture. The structure dimension has been confirmed as the most important dimension for designing the foundation model, followed by infrastructure, superstructure, and cultural dimensions. This indicates that it is necessary to prepare the structure dimension and its components before adopting a smart government in Indonesia
Implementation of Information Security Audit for the Sales System in a Peruvian Company
Get PDFTechnology has been updated over the last few years, and this has been generating a worldwide impact as currently, in this pandemic, several companies have been victims of information theft through hacks, as some companies do not have audits so that they can protect their information. The management of computer security audits in companies is very important to detect possible risks and manage business control by applying continuity management in each disaster. The article's main objective is to implement an audit plan and information security through ISO 27001 for a sales system to improve computer security. The literature review is on the definition of several processes that are part of our implementation development. Our methodology employed five stages of project management (Start, Planning, Execution, Monitoring and control, and closure), explaining the procedure and definition of each stage. The case study is the development of each stage that identifies the risks and obtains a solution to any threat. The results are the treatments of the risks carried out in the company, explaining the compliance with the clause and controls of ISO 27001 in the company. Finally, the analysis of the indicators of each policy of the company to know the improvement the company Domingez
A Systematic Literature Review: UTAUT Model Research for Green Farmer Adoption
Get PDFIncreased food production necessitates technological adoption. Model adoption is a term that refers to the Unified Theory of Acceptance and Use of Technology (UTAUT). The model development research seeks to identify critical variables influencing technology adoption. The development objective is to accelerate the adoption of innovative technology. A literature study is used to develop the UTAUT model and identifies significant factors. SALSA was utilized to conduct this literature review (Secondary Appraisal, Synthesis, and Analysis). The analytical technique employed is a meta-analysis, with the findings shown as a forest plot. Three hundred ten journals were collected for this study evaluation, with 11 selected for further examination. Currently, 13 models are being used in selected journals to modify the UTAUT model. Much of the research in Asia is conducted in research sites. In comparison to the modified UTAUT model, the UTAUT model has the most significant association with technology adoption (0.432). On the other hand, that model exhibits a high degree of heterogeneity (81.5%). Behavioral Intention (0.384) is a component of the UTAUT model, with considerable variability seen in the data (70.3%). Agriculture interventions must be directed at boosting the use of technology. A farmer may engage the services of a mediator following the UTAUT paradigm. Three critical factors to examine are Performance Expectancy, Social Influence, and Facilitating Condition Factors
Numerical Study on Wave Run-up to Identify the Most Effective Design of Jakarta’s Outer Sea Dike
Get PDFThe National Capital Integrated Coastal Development (NCICD) is a construction megaproject around Jakarta Bay targeted environmental revitalization and flood mitigation. One of the main projects of NCICD is to develop the Jakarta’s outer sea dike to prevent future disasters triggered by the increase of the sea level around Jakarta Bay. In this paper, we aim to assess and optimize the design of Jakarta’s outer sea dike by investigating the wave run-up phenomenon, which is measured as the maximum vertical extent of wave uprush on a structure above the still water level. We used the Non-linear Shallow Water Equations (NSWE) as our mathematical model to simulate this phenomenon. The NSWE model was solved numerically using the finite volume method on a staggered grid with a wet-dry procedure to obtain accurate wave run-up height. To validate our numerical scheme, we conducted benchmark tests against a publicized experimental dataset, resulting in a good agreement between the numerical and experimental data, which confirms the robustness and accuracy of our model. We then simulate the wave run-up over three different sea dike profiles: single slope, single berm, and single berm with rocks. Our study shows that among the cases we investigated, the single berm with rocks is the most effective design of the sea dike as even small-sized rock units can significantly reduce the wave run-up height
Growth, Seedling Yield, and Feasibility of True Shallot Seed (Allium cepa L) Nursery Farming System
Get PDFThe objective of this study was to identify widely adapted true lines under different models of True Shallot Seed (TSS) nurseries that can be easily, quickly, and efficiently developed by farmers. Previous TSS seedling production research showed some low and inefficient results, making TSS nursery farming expensive and difficult for farmers to do. Therefore, a TSS nursery model that produces good seedlings and is economically efficient needs to be found. This research fills the gap by presenting novel TSS nursery models using sediment soil media that have not been tried before to increase the TSS seedling performance. The study was arranged in a randomized complete block design (RCBD) with treatment consisting of three seedling systems: direct sowing models (Tabela), boxes, and polybags. Each treatment was repeated six times, using Bima varieties produced by AIAT of Central Java, seed 0,5 kg per system. Observation data included: media material's chemical contents, seedling growth, and nursery model feasibility. The results showed that seedling emergence and seedling weight, number of leaves, and plant populations were significantly different. Tabela shows the best seedling performance and cost-efficiency results. Hopefully, the study results of the shallot nursery model from TSS will help farmers reduce total production costs. The river sediment soil erosion at 71.1 t ha-1yr-1 has not been utilized even though sediment soil's physical and chemical properties are very good for a nursery, making for the novelty point in this study
Coastal Communities’ Empowerment through Seaweed (Eucheuma cottoni): Potency, Suitability, and Local Participation
Get PDFIndonesia is the largest producer of seaweed contributed by coastal communities, but they still live in precarious conditions. To bolster the seaweed cultivation and alleviate poverty, a coastal community’s empowerment was studied in Salabangka archipelagoes through the evaluation of its largely produced seaweed (Eucheuma cottoni) potency (total production and investment opportunities), suitability for seaweed cultivation (environmental parameter and suitability), and local participation (interviews) in 2011. Seaweed production in Salabangka archipelagoes was estimated from 2009 to 2010 data. For the investment opportunities of seaweed cultivation, initial investments were assessed for the medium-scale semi refined carrageenan (SRC) model and the Carrageenan industry model. Subsequently, the profit and loss were projected for the upcoming five years. To estimate the investment qualification, several criteria were used, i.e., Net Present Value (NPV), Internal Rate Return (IRR), Net Benefit Ratio (Net B/C), Pay Back Period (PBP), and Profitability Index Methods (PI). The factors that influence the local participation and perceptions of coastal communities in Salabangka archipelagoes were analyzed based on the degree of perception and participation obtained from interviews in substation sites. The seaweed potency reveals a good prospect indicated by the increase of seaweed production and profitable investment. The environmental condition and qualifications support the suitable habitat for seaweed cultivation. Local participation shows a good indication of the support of the coastal communities. In the future, the government must secure the policy, allocate funding, and forge a partnership with the local bank to bolster the seaweed cultivation in the Salabangka archipelagoes
A Comprehensive Investigation to Cauliflower Diseases Recognition: An Automated Machine Learning Approach
Get PDFVegetables, a significant part of agriculture, are necessary for the general good health of human beings. The use of information technology can help vegetable farmers to reach high yields which can contribute to global food security and sustainable cultivation. Cauliflower (Brassica oleracea var. botrytis) is a popular vegetable that is easily affected by various diseases causing loss of production and quality. However, machine learning-based disease recognition has yet to be developed for cauliflowers which can help farmers to identify cauliflower diseases and enable them to take timely actions. In this paper, an online machine vision-based expert system for recognizing cauliflower diseases is proposed, where a captured image via a smartphone or handheld gadget is processed and then classified to identify disease to assist the cauliflower farmers. Based on the feature extraction, the system classifies four types of diseases namely ‘bacterial soft’, ‘white rust’, ‘black rot’, and ‘downy mildew’ in cauliflowers. A total of 776 images are utilized to implement this experiment. K-means clustering algorithm has been applied on captured images to segment the disease-affected regions before two-type features extraction namely statistical and co-occurrence feature. Six classification algorithms namely BayesNet, Kstar, Random Forest, LMT (Logistic Model Tree), BPN (Back propagation neural network), and J48 were used for disease classification, and we evaluated their performance using seven performance metrics. We found the Random Forest classifier outperforms all other classifiers for cauliflower disease recognition with accuracy approaching 89.00%
Behavior of Earthquake Damage Steel Structures in Fire
Get PDFFire following an earthquake (FFE) has become a major threat for building, particularly in seismic areas. Many FFE events have caused a high level of damage and casualties. On the other hand, current design codes do not support a specific loading case for FFE. Moreover, the modern design philosophy for seismic design allows a certain level of damage that may affect the structure's vulnerability during a post-earthquake fire. Many previous studies have investigated the structural behavior of the building under FFE. This study is intended to showcase, theoretically and practically, the numerical analysis methods used in previous studies. The main objective is to improve the understanding of the performance of steel structures under a post-earthquake fire. A brief historical review of the numerical analysis methods is presented. It is observed that there are four stages of analyses adopted in the previous studies, which are structure system, earthquake analysis, fire analysis, and evaluation. However, different concepts and methods have been used in every stage. This study discusses the advantages and disadvantages of the design concept and the numerical analysis method. It was found that the key aspect of fire following an earthquake analysis is interpreting earthquake damage as an initial condition for the subsequent fire action. The 3D model is required since the composite slabs have a significant role in the frame's survival through tensile membrane action. Furthermore, several parametric fires must be considered to simulate a fire event after an earthquake
Hydrothermal LiTiO2 Cathode and Polyurethane Binder of High Current Lithium Ion Batteries
Get PDFThis research is to prepare a lithium-ion battery using carbon-based water spinach rods as anode and LiTiO2 as a cathode. Carbon and LiTiO2 are used as electrodes to produce lithium-ion batteries on a laboratory scale. Carbon derived from water spinach produces more economic value and is easy to obtain. The electrolytes used are liquid and gel-based LiCl with 10%, 20%, and 40% concentrations. The binder used to prepare lithium-ion batteries is a polyurethane (PU) binder. Lithium-ion batteries (LIBs) are arranged as anode-separator/electrolyte-cathode. The battery was tested with a potentiostat in cyclic voltammetry and galvanostatic modes. In cyclic voltammetry measurements, the value of the current in the lithium-ion battery and the plot on the cyclic voltammetric graph can be used to calculate the value of power and energy. Galvanostatic measurement aims to determine the time it takes to charge and discharge the lithium-ion battery. The measurement of cyclic voltammetry on the performance of lithium-ion batteries shows the highest current value found in batteries with a liquid electrolyte media concentration of 40% by 0.18A, while the lowest current value is found in batteries with a 10% concentration gel electrolyte media of 0.004A. The highest power and energy values are found in batteries with a liquid electrolyte media concentration of 20%. The lowest power and energy values are found in batteries with 10% concentration gel electrolyte media. In the galvanostatic measurement, a graph of charging and discharging lithium-ion batteries is produced. The fastest charging slope is in the battery, with a liquid electrolyte media concentration of 40%. The slope discharge of liquid electrolyte media with a concentration of 40% is the fastest compared to other types of batteries. Batteries with 10% concentration gel electrolyte media become the batteries with the longest charging slope and the longest discharge slope compared to other types of batteries
The Behavior of Shallot Farmer Using Pesticides in Lembah Gumanti District, Solok Regency, Indonesia
Get PDFShallot plants in the horticultural plant require fertilizers and pesticides to grow and develop. This research focuses on the factors that influence the behavior of shallot farmers in the use of pesticides using the approach of predisposition, enabling, and reinforcing factors. This research was conducted using a quantitative descriptive approach in Lembah Gumanti, Alahan Panjang Subdistrict, Solok Regency, West Sumatra. The selection of Solok Regency was carried out purposively because Solok is the largest shallot production area in West Sumatra. Data were analyzed using Partial Least Square structural equation modeling. This research showed that (1) dispositioning factor do not have a significant effect on the behavior of shallot farmers in using pesticides; (2) enabling factor has a significant effect on the behavior of shallot farmers in using pesticides; (3) reinforcing factors have a significant effect on the behavior of shallot farmers in using pesticides; (4) Disposing of factors has a significant effect on the intention of shallot farmers in using pesticides; (5) intention has a significant effect on the behavior of shallot farmers in using pesticides. Thus, our study discovered that dispositioning traits have no obvious effect on the pesticide use behavior of shallot producers. However, enabling, reinforcing, and disposal variables and intention all have a significant effect on shallot producers' pesticide use. Further research is recommended using the interview to obtain comprehensive results regarding the dispositioning factors that do not significantly affect the behavior of shallot farmers in using pesticides