S KOM 1102905 Bibliography
DAFTAR PUSTAKA
Alpaydin, Ethem. (2004). Introduction to Machine Learning. Massachusetts: The MIT Press.
Chawla, N.V. (2005). Data Mining for Imbalanced Datasets : An Overview. Data Mining and
Knowledge Discovery Handbook.
D. Purnamasari. dkk. (2013). Get Easy Using Weka. Jakarta : Dapur Buku.
D, Schmitt. dkk. (2007). The geographic distribution of Big Five personality traits: Patterns
and profiles of human self-description across 56 nations. Journal of Cross-Cultural
Psychology. 38(2). Hlm. 173.
T. Fadillah. (2003). A study of Stemming effects on information retrieval in Bahasa
Indonesia. Tesis, Universiteit van Amsterdam The Netherlands.
Ganganwar, V. (2012). An overview of classification algorithms for imbalanced datasets.
International Journal of Emerging Technology and Advanced Engineering.
Han, J. & Kamber. (2006). Data Mining Concept and Techniques Second Edition. San
Francisco: Morgan Kauffman.
Jenudin, Ujam. (2015). Dinamika Kepribadian (Psikodinamik). Bandung: Pustaka Setia.
Komputer, Wahana. (2014). Mengolah Data Statistik Hasil Penelitian Menggunakan SPSS.
Semarang: Andi.
Kurniawan, Deny. (2008). Regresi Linear (Linear Regression). [Online]. Tersedia:
http://s3.amazonaws.com/academia.edu.documents/31034539/regresi_linier.pdf?AW
SAccessKeyId=AKIAJ56TQJRTWSMTNPEA&Expires=1445413377&Signature=JC
HCq7kEFL28NpeDTTdCEYBnWu0%3D&response-contentdisposition=inline%3B%20filename%3DLINEAR_REGRESSION.pdf. [12 Agustus
2015]
Management Study Guide. (t.t.). Personality Traits – Meaning and Different Types of Traits.
[Online]. Tersedia: http://www.managementstudyguide.com/personality-traits.htm.
[12 Agustus 2015]
Nur Hadi Kusumo, 2016
PREDIKSI TINGKAT KEMATANGAN EMOSIONAL SESEORANG MELALUI AKTIVITAS DI MEDIA SOSIAL
TWITTER MENGGUNAKAN ALGORITMA C4.5
Universitas Pendidikan Indonesia | repository.upi.edu | perpustakaan.upi.edu
O, Jhon. (1990). Dimensions of Personality in The Natural Language and in Questionnaires.
Handbook of Personality: Theory and Research, 14, hlm. 66-100.
Oracle.
(t.t.).
Data
Mining
Concepts.
[online].
Tersedia:
http://docs.oracle.com/cd/B28359_01/datamine.111/b28129/process.htm. [20 Agustus
2015]
Petersen, K., Wohlin, C., Baca, D. (2009). The Waterfall Model in Large-Scale Development,
hlm. 386-400.
Pervin, Cervone, John. (2005). Personality Theoriy and Research. 9nd Ed. New York: John
Wiley & Sons, Inc.
Pressman, R.S. (2010). Software Engineering: a Practioner’s Approach 7th Edition.
McGraw-Hill Higher Education.
Psikologiku. (t.t). Teori Kepribadian Big Five Personality – Extroversion (E), Agreeableness
(A), Neuroticism (N), Openness (O), Conscientiousness (C). [Online]. Tersedia:
http://www.psikologiku.com/teori-kepribadian-big-five-5-personality/.
Rachmawati, Anggita. (2011). Analisis Pengaruh Net Interest Margin (Nim) Dan Loan To
Deposit Ratio (Ldr) Terhadap Return On Assets (Roa) Pada Bank Bumn di Indonesia.
(Skripsi). Sekolah Sarjana, Universitas Komputer Indonesia, Bandung.
R, McCrae. (1989). Why I advocate the five-factor model: Joint factor analyses of the NEOPI with other instruments. Personality psychology: Recent trends and emerging
directions, hlm. 237-245.
R, McCrae. & P, Costa. (1990). Personality in adulthood: A five-factor theory perspective.
New York: The Guilford Press.
R, McCrae. & O, Jhon. (1992). An introduction to the five-factor model and its applications.
Journal of personality, 60(2), hlm. 175-215.
Sarwono,
Jonathan.
(2013).
Regresi
Linear.
[Online].
http://www.jonathansarwono.info/regresi/regresi.pdf. [12 Agustus 2015]
Setiawan, Agus. (2006). Pengantar Metode Numerik. Yogyakarta: Andi.
Sommerville, I. (2011). Software Engineering 9th Edition. Addison-Wesley.
Nur Hadi Kusumo, 2016
PREDIKSI TINGKAT KEMATANGAN EMOSIONAL SESEORANG MELALUI AKTIVITAS DI MEDIA SOSIAL
TWITTER MENGGUNAKAN ALGORITMA C4.5
Universitas Pendidikan Indonesia | repository.upi.edu | perpustakaan.upi.edu
Tersedia:
Statista. (t.t.). Number of Monthly Active Twitter Users Worldwide from 1st Quarter 2010 to
2nd
Quarter
2015.
[Online].
Tersedia:
http://www.statista.com/statistics/282087/number-of-monthly-active-twitter-users/. [1
Agustus 2015]
Sugiyono. (2010). Statistika untuk Penelitian. Bandung : Alfabeta.
Tan, Steinbach, Kumar. (2014). Data mining Classification: Basic Concepts, Decision Trees,
and Model Evaluation. [online]. Tersedia: http://slideplayer.com/slide/4947974/[6
Oktober 2016]
Tech in Asia. (t.t.). Indonesia is Social: 2.4% of World’s Twitter Posts Come From Jakarta
(Infographic).
[Online].
Tersedia:
https://www.techinasia.com/indonesia-social-
jakarta-infographic/. [1 Agustus 2015]
Tech Term. (t.t.). API Definition. [Online]. Tersedia: http://techterms.com/definition/api. [1
Agustus 2015]
Teknik Elektronika. (t.t.). Analisis Regresi Linear Sederhana (Simple Linear Regression).
[Online].
Tersedia:
http://teknikelektronika.com/analisis-regresi-linear-sederhana-
simple-linear-regression/. [12 Agustus 2015]
Tsang. Dkk. (2009). Decision Tree for Uncertain Data. IEEE Computer Society.
Nur Hadi Kusumo, 2016
PREDIKSI TINGKAT KEMATANGAN EMOSIONAL SESEORANG MELALUI AKTIVITAS DI MEDIA SOSIAL
TWITTER MENGGUNAKAN ALGORITMA C4.5
Universitas Pendidikan Indonesia | repository.upi.edu | perpustakaan.upi.edu
Alpaydin, Ethem. (2004). Introduction to Machine Learning. Massachusetts: The MIT Press.
Chawla, N.V. (2005). Data Mining for Imbalanced Datasets : An Overview. Data Mining and
Knowledge Discovery Handbook.
D. Purnamasari. dkk. (2013). Get Easy Using Weka. Jakarta : Dapur Buku.
D, Schmitt. dkk. (2007). The geographic distribution of Big Five personality traits: Patterns
and profiles of human self-description across 56 nations. Journal of Cross-Cultural
Psychology. 38(2). Hlm. 173.
T. Fadillah. (2003). A study of Stemming effects on information retrieval in Bahasa
Indonesia. Tesis, Universiteit van Amsterdam The Netherlands.
Ganganwar, V. (2012). An overview of classification algorithms for imbalanced datasets.
International Journal of Emerging Technology and Advanced Engineering.
Han, J. & Kamber. (2006). Data Mining Concept and Techniques Second Edition. San
Francisco: Morgan Kauffman.
Jenudin, Ujam. (2015). Dinamika Kepribadian (Psikodinamik). Bandung: Pustaka Setia.
Komputer, Wahana. (2014). Mengolah Data Statistik Hasil Penelitian Menggunakan SPSS.
Semarang: Andi.
Kurniawan, Deny. (2008). Regresi Linear (Linear Regression). [Online]. Tersedia:
http://s3.amazonaws.com/academia.edu.documents/31034539/regresi_linier.pdf?AW
SAccessKeyId=AKIAJ56TQJRTWSMTNPEA&Expires=1445413377&Signature=JC
HCq7kEFL28NpeDTTdCEYBnWu0%3D&response-contentdisposition=inline%3B%20filename%3DLINEAR_REGRESSION.pdf. [12 Agustus
2015]
Management Study Guide. (t.t.). Personality Traits – Meaning and Different Types of Traits.
[Online]. Tersedia: http://www.managementstudyguide.com/personality-traits.htm.
[12 Agustus 2015]
Nur Hadi Kusumo, 2016
PREDIKSI TINGKAT KEMATANGAN EMOSIONAL SESEORANG MELALUI AKTIVITAS DI MEDIA SOSIAL
TWITTER MENGGUNAKAN ALGORITMA C4.5
Universitas Pendidikan Indonesia | repository.upi.edu | perpustakaan.upi.edu
O, Jhon. (1990). Dimensions of Personality in The Natural Language and in Questionnaires.
Handbook of Personality: Theory and Research, 14, hlm. 66-100.
Oracle.
(t.t.).
Data
Mining
Concepts.
[online].
Tersedia:
http://docs.oracle.com/cd/B28359_01/datamine.111/b28129/process.htm. [20 Agustus
2015]
Petersen, K., Wohlin, C., Baca, D. (2009). The Waterfall Model in Large-Scale Development,
hlm. 386-400.
Pervin, Cervone, John. (2005). Personality Theoriy and Research. 9nd Ed. New York: John
Wiley & Sons, Inc.
Pressman, R.S. (2010). Software Engineering: a Practioner’s Approach 7th Edition.
McGraw-Hill Higher Education.
Psikologiku. (t.t). Teori Kepribadian Big Five Personality – Extroversion (E), Agreeableness
(A), Neuroticism (N), Openness (O), Conscientiousness (C). [Online]. Tersedia:
http://www.psikologiku.com/teori-kepribadian-big-five-5-personality/.
Rachmawati, Anggita. (2011). Analisis Pengaruh Net Interest Margin (Nim) Dan Loan To
Deposit Ratio (Ldr) Terhadap Return On Assets (Roa) Pada Bank Bumn di Indonesia.
(Skripsi). Sekolah Sarjana, Universitas Komputer Indonesia, Bandung.
R, McCrae. (1989). Why I advocate the five-factor model: Joint factor analyses of the NEOPI with other instruments. Personality psychology: Recent trends and emerging
directions, hlm. 237-245.
R, McCrae. & P, Costa. (1990). Personality in adulthood: A five-factor theory perspective.
New York: The Guilford Press.
R, McCrae. & O, Jhon. (1992). An introduction to the five-factor model and its applications.
Journal of personality, 60(2), hlm. 175-215.
Sarwono,
Jonathan.
(2013).
Regresi
Linear.
[Online].
http://www.jonathansarwono.info/regresi/regresi.pdf. [12 Agustus 2015]
Setiawan, Agus. (2006). Pengantar Metode Numerik. Yogyakarta: Andi.
Sommerville, I. (2011). Software Engineering 9th Edition. Addison-Wesley.
Nur Hadi Kusumo, 2016
PREDIKSI TINGKAT KEMATANGAN EMOSIONAL SESEORANG MELALUI AKTIVITAS DI MEDIA SOSIAL
TWITTER MENGGUNAKAN ALGORITMA C4.5
Universitas Pendidikan Indonesia | repository.upi.edu | perpustakaan.upi.edu
Tersedia:
Statista. (t.t.). Number of Monthly Active Twitter Users Worldwide from 1st Quarter 2010 to
2nd
Quarter
2015.
[Online].
Tersedia:
http://www.statista.com/statistics/282087/number-of-monthly-active-twitter-users/. [1
Agustus 2015]
Sugiyono. (2010). Statistika untuk Penelitian. Bandung : Alfabeta.
Tan, Steinbach, Kumar. (2014). Data mining Classification: Basic Concepts, Decision Trees,
and Model Evaluation. [online]. Tersedia: http://slideplayer.com/slide/4947974/[6
Oktober 2016]
Tech in Asia. (t.t.). Indonesia is Social: 2.4% of World’s Twitter Posts Come From Jakarta
(Infographic).
[Online].
Tersedia:
https://www.techinasia.com/indonesia-social-
jakarta-infographic/. [1 Agustus 2015]
Tech Term. (t.t.). API Definition. [Online]. Tersedia: http://techterms.com/definition/api. [1
Agustus 2015]
Teknik Elektronika. (t.t.). Analisis Regresi Linear Sederhana (Simple Linear Regression).
[Online].
Tersedia:
http://teknikelektronika.com/analisis-regresi-linear-sederhana-
simple-linear-regression/. [12 Agustus 2015]
Tsang. Dkk. (2009). Decision Tree for Uncertain Data. IEEE Computer Society.
Nur Hadi Kusumo, 2016
PREDIKSI TINGKAT KEMATANGAN EMOSIONAL SESEORANG MELALUI AKTIVITAS DI MEDIA SOSIAL
TWITTER MENGGUNAKAN ALGORITMA C4.5
Universitas Pendidikan Indonesia | repository.upi.edu | perpustakaan.upi.edu