Design and Development Website of Research Institute, Case Study: Universitas Negeri Makassar

Ahmar, Ansari Saleh; Rusli, Rusli; Ihsan, Nasrul

doi:10.25139/jsk.v1i3.308

Cited by 2 publications

(2 citation statements)

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“…In the technique of one group the data collector or interviewer know that there is only one possibility of the answer for all the attributes that whether the respondent tell truth or lie [11][12][13]. So data privacy is in danger for this type of technique [14][15][16][17][18]. In this way to enhance the level of privacy the data will divide in two groups.…”

Section: Two-group Methodsmentioning

confidence: 99%

Multigroup Classification using Privacy Preserving Data Mining

Erwinsyah,

Chin,

Palalloi

et al. 2019

IJEAT

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Getting the useful and important data from a huge amount of information is known as data mining. It is a prominent field for search and research of data. To improve the communication between customers and organizations data mining is used. Preserve the private data is very necessary in data mining. It is the issue on which research developed their research in many different ways. For protecting the survey privacy and to avoid the bias answer the randomized response technique was developed. To prevent the data of the survey certain randomness will add with the answers. To improve the privacy level of the preserve data this research use multigroup methods. In this approach all the survey answer divided in multiple groups and then. For different groups data should randomize differently. Based on this multiple groups the decision tree used to classify the data. One group, two group and three group’s techniques used to preserve the data

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Section: Two-group Methodsmentioning

confidence: 99%

Multigroup Classification using Privacy Preserving Data Mining

Erwinsyah,

Chin,

Palalloi

et al. 2019

IJEAT

View full text Add to dashboard Cite

show abstract

“…Secara singkat OLAP adalah suatu proses yang digunakan untuk melakukan permintaan terhadap data dalam bentuk yang kompleks dan menganalisa data yang bervolume besar. maka dari itu OLAP disebut analisis data multidimensi[10].Entity Relationship Diagram) disajikan dalam bentuk diagram hubungan entitas. Terdiri dari entitas, atribut, garis penghubung dan relasi.…”

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Implementasi OLAP Menggunakan Dashboard Holistics Software Pada LPPM STMIK Pelita Nusantara

Rms

2019

JUTIKOMP

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Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) merupakan lembaga institusi penting dari sebuah perguruan tinggi, wadah para dosen melaporkan kewajiban penelitian dan pengabdian sekaligus untuk penilaian Tri Dharma dosen. Rancangan OLAP bertujuan untuk mempermudah para stockholder tertarik melihat laporan berdasarkan issue, judul artikel, jumlah pengutipan dari setiap dosen, membantu pengambil keputusan dalam review kinerja para dosen dalam melaksanakan Tri Dharma Perguruan Tinggi. Teknik Online Analytical Processing (OLAP) yaitu digunakan untuk meningkatkan analisis bisnis, dilakukan oleh end-user pada sistem online. Untuk memfasilitasi OLAP diperlukan data warehouse dengan sekumpulan tool yang memiliki kemampuan multidimensi menghasilkan dashboard publikasi setiap dosen. Grafik dashboard OLAP menunjukkan adanya peningkatan jumlah pulikasi dosen setiap tahun nasional maupun internasional. Persentase dana penelitian dengan biaya sendiri 90%, biaya dari dikti 70%, biaya dari yayasan 70%.

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Design and Development Website of Research Institute, Case Study: Universitas Negeri Makassar

Cited by 2 publications

References 0 publications

Multigroup Classification using Privacy Preserving Data Mining

Multigroup Classification using Privacy Preserving Data Mining

Implementasi OLAP Menggunakan Dashboard Holistics Software Pada LPPM STMIK Pelita Nusantara

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