scholarly journals Structure analysis of building functions transition on the earthquake area five reviewed from costs and time schedule

2022 ◽  
Vol 8 (1) ◽  
pp. 7-16
Author(s):  
I Wayan Suasira ◽  
I Wayan Intara ◽  
I Ketut Sutapa ◽  
I Made Anom Santiana ◽  
I Gede Sastra Wibawa ◽  
...  
Keyword(s):  
Structural Transition ◽  
Cost Ratio ◽  
Research Model ◽  
Time Schedule ◽  
Structural Reinforcement ◽  
Residential House ◽  
Hard Soil ◽  
Earthquake Area ◽  
Hard Soils

The purpose of this study is to determine the dimensions and reinforcement of structure, cost, and schedule due to the transition structure of the building function. The structural transition of building functions is carried out in the earthquake area five with the classification of soft and hard soils. The building used as a research model is a 3-story residence on Nuansa Utama Selatan Street number 3, Jimbaran, Bali. The planning of this building will be converted into office buildings and shophouse on the 2nd and 3rd floors functioning as a warehouse in the earthquake area five in Bali with the classification of soft and hard soil that will be analyzed using SAP 2000 program so that the structural dimensions are used as a reference in the creation of costs, and schedule obtained using Microsoft Project program. The analysis of structure shows that the structure of a residential house on hard soil has the dimensions and reinforcement of the smallest structure. The ratio of structural reinforcement in the transition of structure functions from residential house to office on hard soil by 1.32% with the lowest structure cost ratio by 1.80% and schedule of the structure by 3.80%.

scholarly journals A new theoretical understanding of big data analytics capabilities in organizations: a thematic analysis

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Renu Sabharwal ◽  
Shah Jahan Miah
Keyword(s):  
Big Data ◽  
Thematic Analysis ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Development Theory ◽  
Research Model ◽  
Theoretical Understanding ◽  
The Past ◽  
Validity Assessment

AbstractBig Data Analytics (BDA) usage in the industry has been increased markedly in recent years. As a data-driven tool to facilitate informed decision-making, the need for BDA capability in organizations is recognized, but few studies have communicated an understanding of BDA capabilities in a way that can enhance our theoretical knowledge of using BDA in the organizational domain. Big Data has been defined in various ways and, the past literature about the classification of BDA and its capabilities is explored in this research. We conducted a literature review using PRISMA methodology and integrated a thematic analysis using NVIVO12. By adopting five steps of the PRISMA framework—70 sample articles, we generate five themes, which are informed through organization development theory, and develop a novel empirical research model, which we submit for validity assessment. Our findings improve effectiveness and enhance the usage of BDA applications in various Organizations.

scholarly journals Studi Mengenai Karakteristik Pagar Berdasarkan Klasifikasi Tipe Rumah Tinggal

PRAXIS ◽  
2019 ◽  
Vol 2 (1) ◽  
pp. 66
Author(s):  
Ratih Dian Saraswati ◽  
Salma Azhar
Keyword(s):  
Physical Condition ◽  
Surrounding Environment ◽  
Dwelling House ◽  
The Social ◽  
Residential House

Abstract The fence of a dwelling house was originally as a barrier between the property area and the surrounding environment. In a residential house, the fence also acts as a boundary between one house and another. In development, the fence of a residential house becomes part of the design of a residential house. Fences become a very important element in a dwelling, so the fence design becomes an identity of the occupants of the dwelling. How the social strata of residents can affect the appearance and physical condition of a residential fence. The study was conducted in several residential houses with various types of residential classification in Pasadena Housing Semarang. The results showed that the material of a fence turned out to be influenced by the level of social strata of residential owners as seen from the classification of the type of residence. Abstrak Pagar sebuah rumah tinggal pada awalnya sebagai pembatas antara area properti dan lingkungan sekitar. Pada sebuah rumah tinggal, pagar juga berperan sebagai batas antara rumah tinggal satu dengan yang lain. Pada perkembangan, pagar sebuah rumah tinggal menjadi bagian dari desain sebuah rumah tinggal. Pagar menjadi elemen yang sangat penting pada sebuah rumah tinggal, sehingga desain pagar menjadi sebuah identitas dari penghuni rumah tinggal tersebut. Bagaimana strata sosial penghuni rumah tinggal dapat mempengaruhi tampilan dan kondisi fisik sebuah pagar rumah tinggal. Penelitian dilakukan pada beberapa rumah tinggal dengan berbagai klasifikasi tipe rumah tinggal di Perumahan Pasadena Semarang. Hasil penelitian didapatkan bahwa material sebuah pagar ternyata mendapat pengaruh dari tingkat strata sosial pemilik rumah tinggal yang dilihat dari klasifikasi tipe rumah tinggal tersebut.

Farm Machinery Breakdown Classification – Seed drills

2016 ◽  
Vol 6 (1) ◽  
pp. 813-821
Author(s):  
SALEH A. ALSUHAIBANI
Keyword(s):  
Saudi Arabia ◽  
Average Cost ◽  
Agricultural Development ◽  
Maintenance Cost ◽  
Cost Ratio ◽  
Purchase Price ◽  
Annual Working ◽  
The Cost ◽  
Item Distribution

Work job orders for 196 seed drills collected by HADCO (Hail Agricultural Development Company), Saudi Arabia, were used in this study. The work job orders were classified in terms of the parts used and the cost of each item. Distribution of repair and maintenance as listed in the work-job orders was classified as repairs by 55% while 45% was found to be maintenance. Moreover, Classification of repair and maintenance for parts of seed drills was 66% for rapair jobs and 34% for manitinance jobs. Cost ratio term was developed, by dividing the repair or maintenance cost by the seed drill purchase price. The results indicate that the average cost ratio was affected by annual working area. Also repair and maintenance cost decreased as increasing the number of seed drills every year, and due to the increasing number of working area, the costs increased after about 430 ha/year.

Extending The Theoretical Understanding of Big Data Analytics Capabilities In Organizations: A Thematic Analysis

2021 ◽  
Author(s):  
Renu Sabharwal ◽  
Shah Jahan Miah
Keyword(s):  
Big Data ◽  
Thematic Analysis ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Development Theory ◽  
Research Model ◽  
Theoretical Understanding ◽  
The Past ◽  
Validity Assessment

Abstract Big Data Analytics (BDA) usage in industry has been increased markedly in recent years. As a data-driven tool to facilitate informed decision making, the need for BDA capability in organizations is recognized, but few studies have communicated an understanding of BDA capabilities in a way that can enhance our theoretical knowledge of using BDA in organizational domain. Big Data has been defined in various ways and , the past literature about classification of BDA and its capabilities is explored in this research . We conduct a literature review using PRISMA methodology, and integrate a thematic analysis using NVIVO12. By adopting five steps of PRISMA framework - , 70 sample articles we generate five themes, which informed through organization development theory, and develop a novel empirical research model which we submit for validity assessment. Our findings improve effectiveness and enhance the usage of BDA applications in various Organizations.

Modified Dominance-based soft set Approach for Feature Selection

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Feature Selection ◽  
Big Data ◽  
Soft Set ◽  
Feature Reduction ◽  
Research Model ◽  
Selection Algorithm ◽  
Big Data Applications ◽  
Segmented Nucleus ◽  
Experimental Findings

Big data analysis applications in the field of medical image processing have recently increased rapidly. Feature reduction plays a significant role in eliminating irrelevant features and creating a successful research model for Big Data applications. Fuzzy clustering is used for the segment of the nucleus. Various features, including shape, texture, and color-based features, have been used to address the segmented nucleus. The Modified Dominance Soft Set Feature Selection Algorithm (MDSSA) is intended in this paper to determine the most important features for the classification of leukaemia images. The results of the MDSSA are evaluated using the variance analysis called ANOVA. In the dataset extracted function, the MDSSA selected 17 percent of the features that were more promising than the existing reduction algorithms. The proposed approach also reduces the time needed for further analysis of Big Data. The experimental findings confirm that the performance of the proposed reduction approach is higher than other approaches.

scholarly journals Competitiveness of Indonesian banking industry based on commercial bank business group: Panzar Rosse Model

2019 ◽  
Vol 7 (1) ◽  
pp. 37-48
Author(s):  
Fajra Octrina ◽  
Rike Setiawati
Keyword(s):  
Commercial Bank ◽  
Banking Sector ◽  
Monopolistic Competition ◽  
Banking Industry ◽  
Total Sample ◽  
Research Model ◽  
Input Variables ◽  
Capital Ownership ◽  
Research Show

The present research was aimed to investigating the competitiveness in Indonesian banking sector during the period of 2005 to 2016, to set the limit of the scope of the study a total sample is 84 banks. This research was conducted by grouping banks based on ownership and based on BUKU (General Bank based on Business Activities). The study also aimed to analyze the banking competitiveness based on classification of banks and groups of capital ownership. The study was conducted by evaluating the value of H-statistic for the research model comprising of three input variables, namely funds, labors and capital. The results of the research show that the market of banking industry in Indonesia is classified as monopolistic competition. The limitation of this study is that this study only looks at the competition variable, and has not seen its relationship with other variables. In subsequent studies, it is expected to conduct research related to competition and relate it to other variables, such as market share or level of market concentration.

scholarly journals ANALISIS DEFLEKSI DAN KAPASITAS LATERAL TIANG TUNGGAL PADA TANAH KOHESIF DENGAN BERBAGAI JENIS KONSISTENSI TANAH

2020 ◽  
Vol 3 (1) ◽  
pp. 81
Author(s):  
Gregory Agustino ◽  
Andryan Suhendra
Keyword(s):  
Lateral Displacement ◽  
Soft Soil ◽  
Soft Clay ◽  
Lateral Force ◽  
Soil Types ◽  
Lateral Capacity ◽  
Lateral Forces ◽  
Curve Method ◽  
Hard Soil ◽  
Hard Soils

There are 2 main elements on a foundation that must be retained from the structure above, the axial force and lateral force. The ability of the foundation to resist lateral forces and deflections that occur due to these forces can be measured by various methods, one of the methods that used in this case is the p-y curve method. In addition to soil types, the lateral capacity and lateral deflection of the pile are also affected by the consistency of the soil itself. Therefore, the writer wants to compare the lateral capacity and lateral displacement of the pile in clay with the consistency of soft, medium, and hard soils. The lateral capacity of medium clay has 100% greater capacity compared to soft clay. The lateral capacity of hard soil increase 600% greater than soft soil. The lateral capacity of the pile also varies with the depth of the pile reviewed. On soft and medium soils with a depth of 5 m the pile has an increase in lateral capacity of 12% to 17% when compared to the lateral capacity at a depth of 10 m. AbstrakPada suatu fondasi terdapat 2 elemen utama yang harus ditahan dari struktur di atasnya, yaitu gaya aksial dan gaya lateral. Kemampuan fondasi dalam menahan gaya lateral dan defleksi yang terjadi akibat gaya tersebut dapat diukur dengan berbagai metode, salah satu metode yang digunakan dalam penulisan ini adalah metode p-y curve. Selain jenis tanah, kapasitas lateral dan defleksi lateral tiang ini juga dipengaruhi oleh konsistensi tanah itu sendiri. Oleh karena itu, dalam penulisan ini penulis hendak membandingkan kapasitas lateral dan perpindahan lateral tiang pada tanah lempung dengan konsistensi tanah lunak, sedang, dan keras. Kapasitas lateral tanah lempung sedang memiliki kapasitas yang lebih besar 100% jika dibandingkan dengan tanah lempung lunak. Sedangkan kapasitas lateral tanah keras memiliki kenaikan kapasitas lateral mencapai 600% jika dibandingkan dengan tanah lunak. Kapasitas lateral tiang ini juga berbeda tiap kedalaman tiang yang ditinjau. Pada tanah lunak dan sedang dengan kedalaman tiang 5 m memiliki kenaikan kapasitas lateral sebesar 12% sampai 17% jika dibandingkan dengan kapasitas lateral pada kedalaman 10 m. 

Student sentiment classification model based on GRU neural network and TF-IDF algorithm

2020 ◽  
pp. 1-11
Author(s):  
Hailong Yu ◽  
Yannan Ji ◽  
Qinglin Li
Keyword(s):  
Neural Network ◽  
Sentiment Classification ◽  
Classification Model ◽  
Research Model ◽  
Student Group ◽  
Comprehensive Performance ◽  
Sentiment Dictionary ◽  
Neural Network Algorithm ◽  
Sentence Matching

Due to the diversity of text expressions, the text sentiment classification algorithm based on semantic understanding is difficult to establish a perfect sentiment dictionary and sentence matching template, which leads to strong limitations of the algorithm. In particular, it has certain difficulties in the classification of student sentiments. Based on this, this paper analyzes the student sentiment classification model by neural network algorithm and uses the student group as an example to explore the application of neural network model in sentiment classification. Moreover, the regularization method is added to the loss function of LSTM so that the output at any time is related to the output at the previous time. In addition, the sentimental drift distribution of sentimental words on each sentimental label is added to the regularizer, and the sentimental information is merged with the two-way LSTM to allow the model to choose forward or reverse. Finally, in order to verify the research model, the performance of the model proposed in this paper is studied through experimental research. The research shows that the model proposed in this paper has better comprehensive performance than the traditional model and can meet the actual needs of students’ sentiment classification.

Acceleration Response Spectra for M 7.4 Donggala Earthquake and Comparison with Design Spectra

2019 ◽  
Vol 1 (1) ◽  
pp. 20-26
Author(s):  
Bambang Sunardi ◽  
Sulastri ◽  
Dwikorita Karnawati ◽  
Urip Haryoko ◽  
Supriyanto Rohadi ◽  
...  
Keyword(s):  
Response Spectra ◽  
Acceleration Response ◽  
Ground Acceleration ◽  
Site Class ◽  
Design Spectra ◽  
Acceleration Response Spectra ◽  
Hard Soil ◽  
Hazard Level ◽  
Earthquake Area ◽  
Peak Value

A 7.4 magnitude earthquake have strucked Donggala on September 28th 2018, followed by tsunami and liquefaction which hit Palu, Central Sulawesi, a few minutes later. This event had resulted in damage to buildings, and caused more than 2,000 people were killed and injured. Indonesia already have a building code in form of SNI 1726:2002 which had been updated to SNI 1726:2012. This paper analyses the hazard level caused by the 2018 Donggala earthquake compared to the existing design spectra, as mentioned in SNI 1726:2002 and SNI 1726:2012. A simple analysis was carried out by comparing Donggala earthquake’s acceleration response spectra with the existing design spectra, at the MPSI accelerograph station. The site class at MPSI station is hard soil (SC). The seismic hazard in Palu and Donggala refers to SNI 1726:2002 is included in the earthquake area 4. The maximum earthquake response factor for earthquake area 4 is about 0.6 for hard soil type (SC). The MPSI station recorded peak ground acceleration of Donggala earthquake around 0.14 g. The acceleration response spectra recorded at the MPSI station showed a peak value of around 0.71 g for the N component. This value is actually still below the design spectra referring to SNI 1726:2012, which the peak value is 0.88 g for SC, but, it exceeded the design spectra of SNI 1726:2002.

Automatic grading of admitted patients using genetic algorithm

2020 ◽  
pp. 1-10
Author(s):  
Zaixing Zhuang ◽  
lijie Zhong ◽  
Xianwu Zhu ◽  
Miao Miao ◽  
Cheng Wu ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Initial Population ◽  
Research Model ◽  
Current Application ◽  
Intelligent Algorithms ◽  
Hospital Resources ◽  
Automatic Grading ◽  
Random Method ◽  
Genetic Algorithm Operator

The current application of intelligent algorithms has achieved certain applications in smart medical, but its application in the automatic grading of admitted patients is in a blank, which makes it difficult to allocate hospital resources effectively. In order to improve the efficiency and accuracy of automatic classification of patients admitted to hospital, this study builds the corresponding genetic algorithm operator based on genetic algorithm. At the same time, this paper uses the random method to generate the initial population and uses the inversion mutation operator to perform the mutation operation. In addition, this article combines image processing to automatically classify patient types and patient levels. Finally, this paper uses the data collection method to verify the model and input the data into the research model. The research shows that the model proposed in this paper has certain effects, which can realize the automatic grading of patients admitted, and can provide theoretical reference for subsequent related research.

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