Solar-Cell Implementation for Supporting Tourist Facilities and Tourism Promotion Media

Hendri, Halifia; Awal, Hasri; Mardison,

doi:10.1088/1742-6596/1783/1/012058

Cited by 4 publications

(3 citation statements)

References 23 publications

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“…One such approach is the utilisation of solar cells and generators to establish a network and power supply. Solar cells have the capability to capture solar energy and transform it into electrical energy [36]. Nonetheless, one of the disadvantages of utilising solar cells is that if damage occurs, it is difficult for the manager to restore.…”

Section: Factorial Analysis Of Tourist Attraction Attributesmentioning

confidence: 99%

Perceptions of Marine Tourism in Lampung Bay's Small Islands: A Comparative Study

Harianto,

Tsani,

Arioen

et al. 2023

IJDNE

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Pasaran and Permata Islands, situated within the Lampung Bay cluster, offer unique tourist experiences yet have not succeeded in attracting substantial visitor interest. This study aims to analyze perceptions of marine tourism on these small islands located in Bandar Lampung City, Lampung Province, Indonesia. A total of 228 respondents, visiting Pasaran and Permata Islands, participated in the study. The adopted analytical method was Exploratory Factor Analysis, supplemented by f-tests and t-tests. The analysis of 23 tourism perception attributes yielded five distinct factors: tourist access, supporting facilities, natural resources, cleanliness, and additional supporting factors. Notably, the perceptions of the two islands differed significantly, attributable to variations in attractions, facilities, accommodation, and access. This divergence manifested in tourists' perceptions analyzed by gender, age, and income. The insights suggest that both islands require enhancements in specific areas. Pasaran Island necessitates advancements in 'supporting factors', while 'tourist access' is an area for improvement on Permata Island. The findings contribute to the understanding of marine tourism perceptions and provide actionable suggestions for enhancing the tourist experience on these islands.

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Section: Factorial Analysis Of Tourist Attraction Attributesmentioning

confidence: 99%

Perceptions of Marine Tourism in Lampung Bay's Small Islands: A Comparative Study

Harianto,

Tsani,

Arioen

et al. 2023

IJDNE

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“…Perumusan masalah adalah proses dalam merumuskan atau menentukan masalah penting apa dan utama yang terjadi dilapangan yang harus dicarikan solusinya dalam penelitian ini [12], [13]. Studi pustaka adalah proses dalam menemukan atau mentelaah ilmu-ilmu dari penelitian sebelumnya yang relevan dan buku-buku pustaka dengan pemecahan masalah yang telah ditentukan sebelumnya [14], [15].…”

Section: Uraian Kerangka Kerja Penelitianunclassified

Implementasi Data Mining Dengan Metode C4.5 Untuk Prediksi Mahasiswa Penerima Beasiswa

Hendri

2021

ijcs

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Memperoleh beasiswa adalah keinginan dari setiap mahasiswa yang menempuh pendidikan terutama bagi mahasiswa yang berasal dari keluarga miskin dengan penghasilan total kedua orangtuanya dibawah Rp. 600.000,00 setiap bulannya. Dengan adanya beasiswa dapat memperingan beban orangtua yang membiayai mahasiswa tersebut kuliah dan dapat memperlancar proses perkuliahan. Namun kebanyakan mahasiswa tidak tahu secara akurat yang harus dilakukan agar bisa mendapatkan beasiswa tersebut. Mahasiswa tentu juga ingin mengetahui faktor dan kondisi apa saja yang paling mempengaruhi untuk mendapatkan beasiswa. Tujuan penelitian ini adalah mengetahui cara melakukan prediksi atau peramalan dari sejumlah mahasiswa yang akan mendapatkan beasiswa pada perguruan tinggi dengan menggunakan metode C4.5. Perangkat lunak Rapid Miner versi 9.7.002 digunakan untuk mengolah data dalam penelitian. Hasil penelitian ini adalah dari 100 mahasiswa diprediksi sebanyak 9 orang (9%) akan menerima beasiswa dan 91 orang (91%) tidak akan menerima beasiswa.

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“…For this reason, students who are eligible to receive scholarships are selected. So that students in the future can find out what are the determining factors that determine a scholarship will receive a scholarship, predictive action is needed using data mining techniques, namely a combination of the K-Means and C4.5 algorithms [19].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Scholarship Recipients Using Hybrid Data Mining Method with Combination of K-Means and C4.5 Algorithms

Mardison

Defit

Alturky

2021

Int. J. Artif. Intell. Res

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Obtaining a scholarship is the desire of every student or student who studies, especially those who come from poor families. The scholarship can lighten the burden on parents who pay for these students and can streamline the lecture process. However, students do not know exactly what they have to do to get the scholarship. Aside from that, students naturally want to know what causes and conditions have the greatest impact on achievement. The objective of this research is how to predict which number of students among them are predicted to get a scholarship at the opening of the scholarship acceptance using the K-Means and C4.5 methods. Apart from that, the aim of this research is to discover how the K-Means algorithm conducts data clustering (clustering) of student data to determine if they will succeed or not, as well as how the C4.5 algorithm makes predictions against students who have been clustered together. The Rapid Miner program version 9.7.002 was used to process the data in this report. The results of this study were that out of 100 students, 32 students were not scholarship recipients and 68 students were scholarship recipients. Another result of this research is that out of 100 students it is predicted that 9 (9%) will receive scholarships and 91 (91%) will not receive scholarships.

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Solar-Cell Implementation for Supporting Tourist Facilities and Tourism Promotion Media

Cited by 4 publications

References 23 publications

Perceptions of Marine Tourism in Lampung Bay's Small Islands: A Comparative Study

Perceptions of Marine Tourism in Lampung Bay's Small Islands: A Comparative Study

Implementasi Data Mining Dengan Metode C4.5 Untuk Prediksi Mahasiswa Penerima Beasiswa

Prediction of Scholarship Recipients Using Hybrid Data Mining Method with Combination of K-Means and C4.5 Algorithms

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