Institutional Repository | Satya Wacana Christian University: Using Data Mining to Analyze Usage Pattern of Mobile Providers (Case Study PT. XL Area Salatiga)

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USING DATA MINING TO ANALYZE USAGE

PATTERN OF MOBILE PROVIDERS

(CASE STUDY PT. XL AREA SALATIGA)

TESIS

Oleh:

Andreas Artahsasta Taroreh NIM: 972011015

Program Studi Magister Sistem Informasi Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

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v Kata Pengantar

Puji syukur saya panjatkan kepada Tuhan Yesus Kristus atas kasih setia dan penyertaan- Nya saya dapat menyelesaikan Tesis yang berjudul

“Using Data Mining To Analyze Usage Pattern Of Mobile Providers (Case

Study PT. XL Area Salatiga)” dengan baik. Laporan Tesis ini disusun

sebagai salah satu persyaratan dalam memperoleh gelar Master of Computer

Science (M.Cs) pada Program Studi Magister Sistem Informasi, Fakultas

Teknologi Informasi Universitas Kristen Satya Wacana Salatiga.

Tesis ini dapat selesai berkat bantuan dari berbagai pihak yang telah memberikan bimbingan, ide, dan berbagai dukungan lainnya kepada penulis. Pada kesempatan ini saya ingin menyampaikan ucapan terima kasih kepada : 1. Bapak Dr. Dharma Putra Palekahelu., M.Pd, selaku Dekan Fakultas

Teknologi Informasi, Universitas Kristen Satya Wacana Salatiga.

2. Bapak Prof. Ir. Danny Manongga, M.Sc., Ph.D, selaku Ketua Program Studi Magister Sistem Informasi, Fakultas Teknologi Informasi Universitas Kristen Satya Wacana Salatiga, dan selaku dosen pembimbing atas kesabaran memberikan bimbingan dan motivasi kepada penulis dalam menyelesaikan thesis ini.

3. Ibu Ade Iriani, MM, selaku dosen pembimbing dua atas kesabaran memberikan bimbingan dan motivasi kepada penulis dalam menyelesaikan skripsi ini.

4. Kedua Orang Tua, Ce Hesti dan Adik Priska yang menjadi sumber inspirasi penulis, terima kasih atas cinta kasih kalian.

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vi

6. Bapak Toni Anandya Wicaksono, atas bantuan dan dukungan dalam pengumpulan data dalam penelitian ini.

7. Globees 2013 dan 2014 atas kebersamaan, dukungan, dan kegilaan kita di Hongkong dan Taiwan.

8. Teman – teman seperjuangan MSI angkatan 9 atas kebersamaan selama kuliah.

9. Biro Promosi UKSW, Sales Promotion Team UKSW, International Office UKSW, atas kebersamaan dan proses pengembangan diri yang telah dilewati.

10. Rekan – rekan seatap, Pondok Happy : Tara, Ocka, Okta, Wulan, Tessa, Manda, Josh, Egen, Dede, Adven (Begadang jangan begadang kalau tiada artinya).

11. Dan semua pihak yang tidak dapat saya sebutkan satu persatu yang telah membantu saya dalam penyusunan tesis ini.

Salatiga, 2 Maret 2015

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vii

Bab 2 Literature Review 1.1Related Works...2

1.2Data Mining...3

2.2.1 Pivot Table...3

2.2.2 Arrangement of Consumer Data…………...4

Bab 3 Methodology...4

Bab 4 Analysis and Discussion...6

Bab 5 Conclusion ...10

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Daftar Gambar

Halaman

Figure 1 Revenue...6

Figure 2 The most frequently used services...8

Figure 3 Calls through the same providers...8

Figure 4 Calls to other providers by time division...9

Figure 5 Calls to another provider based on the community...9

Figure 6 Other providers most frequently contacted...9

Figure 7 Time and number of text...10

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Daftar Tabel

Halaman

Table 1 XL Social Community Members Benefit...4

Table 2 User‟s Profile...5

Table 3 XL Social Community Members Revenue...5

Table 4 Cross Tabulation Result between Variable...6

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Journal of Theoretical and Applied Information Technology

ISSN: 1992-8645 www.jatit.org E-ISSN: 1817-3195

USING DATA MINING TO ANALYZE USAGE PATTERN

OF MOBILE PROVIDERS

(CASE STUDY PT. XL AREA SALATIGA)

1_{ANDREAS ARTAHSASTA TAROREH,} 2_{DANNY MANONGGA,}3_{ADE IRIANI}

1, 2, 3,

Information System Departement, SATYA WACANA CHRISTIAN UNIVERSITY E-mail: 1andreas_artahsasta@yahoo.com, 2dmanongga@gmail.com , 3ade.iriani@staff.uksw.edu

ABSTRACT

Data mining is one of the disciplines in computer science that explores the useful information about individual trends and segments. The numbers of mobile operators in Indonesia and high consumer displacement cause the competition among the operators to provide service and rate that attract users. PT. XL Axiata (XL) as the second biggest cellular providers in Indonesia gives special rate to the members of target community. The purpose of this study was to analyze the usage patterns of service build from XL community members who belong to groups of workers and students by conducting data

mining using a pivot table on the users‟ profile and consumer service usage data for

three consecutive months. The data was processed and analyzed to determine the marketing strategy in accordance with constumer needs in order to improve loyalty. The results of processing data showed that the variable of occupation and sex have effect on the usage patterns of service which emerged. Moreover, the internet service was a service that provides intake for most major mobile operators. By analyzing the usage patterns of community members, it can assist the service providers in determining the marketing strategy according to user needs.