Determine the Shortest Path Problem Using Haversine Algorithm, A Case Study of SMA Zoning in Depok

Ikasari, Diana; Widiastuti, .; Andika, Rheza

doi:10.1109/hora52670.2021.9461185

Cited by 6 publications

(4 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, the distance for each cluster to the specified point was obtained by using the haversine method. The haversine formula is an important form of equation in the field of navigation, used to find the arc distance between two points on a sphere from longitude and latitude [8] as can be seen in eq. (1) and eq.…”

Section: A K-means Clusteringmentioning

confidence: 99%

Customer Selection in the Conversion Program of LPG Stove to Induction Stove

Indra Darmawan Budi

2024

jes

View full text Add to dashboard Cite

The oversupply condition is due to differences in the current electricity supply which is higher than actual electricity demand. One option to increase demand is by converting LPG stoves into induction stoves. To achieve the conversion goal successfully, a customer selection process must be carried out to determine the conversion targets, aiming for a significant increase in electricity demand with the lowest investment costs. The main problem is the absence of a standard for determining conversion targets. The combination of clustering techniques and Multiple Criteria Decision Making (MCDM) analysis provides the best ideal solution to overcome these problems. The research included several main criteria for selecting customers that support the success factors of implementing a conversion program. The initial analysis involved clustering customers based on coordinates using the k-means method. By using the clustered customer data, the TOPSIS (Technique for Ordering Preference by Similarity to an Ideal Solution) method identified the best cluster based on general criteria. Additionally, using detailed customer data, the TOPSIS method also identified the ranking of customer priorities for each selected cluster. The recommended priority target customers are those with the greatest potential for additional kWh, the best level of electricity reliability, shortest distance to the cluster centroid, and supplied by feeders and distribution transformers with the largest reserve margin. The results indicated the difference in revenue improvement compared to the current method was US$ 16,291.31 per month. Investment costs were also reduced by US$ 166,084.80 compared to the current method. The other results were a reduction in operational costs, improvement in average reliability according to the SAIDI SAIFI, improvement in the average operation-hours, and an improvement in the distribution transformer average reserve margins.

show abstract

Section: A K-means Clusteringmentioning

confidence: 99%

Customer Selection in the Conversion Program of LPG Stove to Induction Stove

Indra Darmawan Budi

2024

jes

View full text Add to dashboard Cite

show abstract

“…Haversine Formula By utilising (7) called haversine formula (let 𝜑=𝑑𝑟⁄ be the angle between two points on a sphere, where 𝑑 denotes the distance between the points and 𝑟 denotes the radius of the sphere) from the mathematical firmament and with the longitudes represented by 𝑦 and latitudes denoted by 𝑥 given, we achieve the calculation of the optimal circle distance on Earth's surface by (9). The formula for applying Haversine to the distance calculation can also be represented by either arctangent or spherical low of cosine [46]. According to the roughly spherical shape of the Earth, spherical trigonometry was a prerequisite to accomplishing navigation tasks.…”

Section: 𝑑(𝑥𝑦)>𝜀>0mentioning

confidence: 99%

UAV Trajectory Optimisation in Smart Cities Using Modified A^* Algorithm Combined With Haversine and Vincenty Formulas

Andreas

Mavromoustakis

Batalla

et al. 2023

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

“…The innovation of this approach consists of a distance calculation algorithm that estimates the actual distance between the requester and the donor. Meiappane et al 13 also use GPS and Haversine Mathematical Algorithm 14 to search the nearest donor accessible and additionally confirm the medical case history of the donor with the Department of Health and Welfare. Julie et al 15 also use GPS technology and provide an architecture that also permits manually donor search or hospitals.…”

Section: Systematic Literature Reviewmentioning

confidence: 99%

Mobile applications for encouraging blood donation: A systematic review and case study

Li,

Valero,

Keyser

et al. 2023

DIGITAL HEALTH

View full text Add to dashboard Cite

Objectives Given the current shortage of blood donors in the USA, researchers have tried to identify different strategies to attract more young people and spread the voice of donors’ needs. Methods A systematic literature review is conducted to investigate the current mobile applications used to track, attract, and retain donors. We also provide some preliminary results of a pilot study, based on a cross-sectional survey of 952 participants (aged 18 to 39), about the willingness of donors to use mobile apps as tools for encouraging blood donation. The data is collected using a 20-item questionnaire, which includes four constructs of the Theory of Planned Behavior to assess the respondents’ willingness to donate blood. A range of statistical techniques, including univariate analysis, multivariate analysis, and structural equation modeling, were utilized to analyze the collected data. Results The 37 research articles, selected after applying several exclusion criteria, are classified into five main categories. The majority of the research (44.1%) is about using mobile apps to find blood donors and blood centers, followed by publications on using mobile apps to encourage blood donation (26.4%) and to recruit blood donors (14.7%). The remaining studies are about retaining blood donors (8.8%) and using mobile apps for scheduling donations (5.8%). Our pilot case study suggests that 73% of participants have favorable perceptions toward a blood donation mobile app. Conclusions Many efforts have been undertaken to employ mobile apps to make blood donations more convenient and create communities around donating blood. The case study findings suggest a high level of readiness of using mobile apps for blood donation among the younger generation.

show abstract

Determine the Shortest Path Problem Using Haversine Algorithm, A Case Study of SMA Zoning in Depok

Cited by 6 publications

References 1 publication

Customer Selection in the Conversion Program of LPG Stove to Induction Stove

Customer Selection in the Conversion Program of LPG Stove to Induction Stove

UAV Trajectory Optimisation in Smart Cities Using Modified A^* Algorithm Combined With Haversine and Vincenty Formulas

Mobile applications for encouraging blood donation: A systematic review and case study

Contact Info

Product

Resources

About

Determine the Shortest Path Problem Using Haversine Algorithm, A Case Study of SMA Zoning in Depok

Cited by 6 publications

References 1 publication

Customer Selection in the Conversion Program of LPG Stove to Induction Stove

Customer Selection in the Conversion Program of LPG Stove to Induction Stove

UAV Trajectory Optimisation in Smart Cities Using Modified A* Algorithm Combined With Haversine and Vincenty Formulas

Mobile applications for encouraging blood donation: A systematic review and case study

Contact Info

Product

Resources

About

UAV Trajectory Optimisation in Smart Cities Using Modified A^* Algorithm Combined With Haversine and Vincenty Formulas