Identifikasi: Kriteria untuk Menilai Teknologi Pengolahan Air Limbah

Ishak, Aulia; novalin, Susi Diriyanti; Asfriyati,

doi:10.32734/jsti.v22i2.3878

Cited by 2 publications

(4 citation statements)

References 6 publications

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“…One of the main limitations of the proposed MCDA model is the fact that it uses a limited number of indicators to evaluate the vulnerabilities of the two subsystems; this, while facilitating the portability of the model, may lead to less accurate results than those possible with models that use a larger number of indicators, such as, for example, [22][23][24]. On the other hand, the use of a large number of indicators can lead to difficulty in finding data with high spatial resolution and, consequently, low portability of the model.…”

Section: Resultsmentioning

confidence: 99%

“…The fuzzy AHP (F-AHP) method [18] is used in a MCDA model applied in [22] to assess the heatwave vulnerability in Indian districts using demographic and socioeconomic data. A MCDA model based on the fuzzy AHP-WIKOR method [23] is applied in [24] to the districts of Alexandria, in Egypt, to detect those urban districts most at risk of flooding; various geomorphological, infrastructural, environmental, and socio-economic indicators are used in the model. The main limitation of these models is their complexity; the number of indicators is too high; therefore, getting all the data to measure them can be difficult.…”

Section: Related Workmentioning

confidence: 99%

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Hierarchical Fuzzy MCDA Multi-Risk Model for Detecting Critical Urban Areas in Climate Scenarios

Cardone,

D’Ambrosio,

Di Martino

et al. 2024

Applied Sciences

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One of the issues of greatest interest in urban planning today concerns the evaluation of the most vulnerable urban areas in the presence of different types of climate hazards. In this research, a hierarchical fuzzy MCDA model is implemented on a GIS-based platform aimed at detecting the urban areas most at risk in the presence of heatwave and pluvial flooding scenarios. The proposed model aims to detect the urban areas most vulnerable to both the two climatic phenomena and the two types of hazards as independent events; it partitions the physical component of an urban settlement into two subsystems: buildings and open spaces, and it determines the criticality of a subzone of the urban area of study by evaluating the vulnerabilities of the two subsystems to the two phenomena. The use of a hierarchical fuzzy MCDA model facilitates the modeling of the two subsystems and the assessment of their vulnerability to the two phenomena, and it provides a computationally fast tool for detecting critical urban areas. The model was tested on a study area made up of the districts of the central-eastern area of the city of Naples (Italy); it was divided into subzones made up of individual census areas. The most critical areas are represented by the subzones with criticality values higher than a specific threshold.

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Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Hierarchical Fuzzy MCDA Multi-Risk Model for Detecting Critical Urban Areas in Climate Scenarios

Cardone,

D’Ambrosio,

Di Martino

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

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“…This method aims to determine the position of the level or score on each research indicator that falls into any category [15]. The scale [12] criteria can be seen in Table . 3 Key Performance Indicators are parameters that are used as a medium for measuring employee performance in companies with a range of numbers, values or percentages [16].…”

Section: Resultsmentioning

confidence: 99%

“…In this study the population is PDAM Tirtanadi employees who will be used to assess employee performance through four aspects. The population in the study amounted to 68 people and the sample used in this study remained 68 people because the population was below 100 [12]. HRSc design stages are as follows…”

Section: Methodsmentioning

confidence: 99%

The Measurement Of Employee Performance With A Human Resource Scorecard Methods: A Study Case in PDAM MEDAN

Nissa¹,

Sinulingga²,

Sembiring³

2022

j.sist.teknik.industri.

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The success of an organization or company in carrying out tasks with the aim of realizing the company's vision, mission, and goals can be seen from the performance of its human resources. So far, PDAM Tirtanadi's employee performance measurement is still focused on the financial aspect and based on a preliminary questionnaire, employee performance is in the poor category. So that this research has the aim of designing indicators and measuring employee performance with the Human Resource Scorecard (HRSc) approach. HRSc is a performance measurement based on 4 perspectives, namely finance, employees, internal business processes, and growth. From the results of data collection and processing, 16 indicators and 18 key performance indicators (KPI) were obtained, so that by using the Likert scale method and questionnaire in each perspective, the measurement value was 3.385 with a less category.

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Identifikasi: Kriteria untuk Menilai Teknologi Pengolahan Air Limbah

Cited by 2 publications

References 6 publications

Hierarchical Fuzzy MCDA Multi-Risk Model for Detecting Critical Urban Areas in Climate Scenarios

Hierarchical Fuzzy MCDA Multi-Risk Model for Detecting Critical Urban Areas in Climate Scenarios

The Measurement Of Employee Performance With A Human Resource Scorecard Methods: A Study Case in PDAM MEDAN

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