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BAB V KESIMPULAN DAN SARAN

5.2 Saran

Berdasarkan hasil yang telah diperoleh dari penelitian ini maka penulis memberikan beberapa pertimbangan dan saran untuk perbaikan di masa mendatang sebagai berikut:

1. Bagi akademisi

a. Penelitian yang menggunakan data time series dalam menguji pengaruh antar variabel bebas terhadap variabel terikatnya dengan menggunkan regresi linear sederhana,

b. Penelitian ini adapat dilakukan dengan mnggunakan variabel bebas yang berbeda terhadap variabel terikat yang sama yaitu tingkat suku bunga Bank Indonesia. Hal tersebut karena pada penelitian ini masih ada kemungkinan variabel lain yang mempengaruhi suku bunga Bank Indonesia dan memang adanya beberapa penelitian yang menggunakan tingkat suku bunga Bank Indonesia menjadi variabel terikatnya.

c. Penelitian mengenai tingkat suku bunga Bank Indonesia dapat di jadikan bahan berikutnya untuk diuji dengan mengembangkan topiknya seperti pengaruh daru tingkat suku bunga Bank

Indonesia terhadap nilai tukar rupiah, jumlah uang beredar, dan sebagainya.

2. Bagi Investor

Investor diharapkan dapat berhati – hati ketika mengambil keputusan untuk mendepositokan uang atau mengambil kredit bank, karena tingkat suku bunga Bank Indonesia pada penelitian ini memang dipengaruhi oleh inflasi, namun masih ada beberapa faktor lain yang belum diuji dalam penelitian ini yang memungkinkan juga mempengaruhi tingkat suku bunga Bank Indonesia.

3. Bagi Pemerintah

Dengan hasil penelitian ini, pemerintah Indonesia melalui pihak – pihak terkait seperti Menteri Kordinator Ekonomi, Kementrian Keuangan, Bank Indonesia, dan yang lainnya selaku pengendali dan pengambil kebijakan moneter dapat menjaga laju pertumbuhan inflasi dan faktor – faktor lainnya. Hal ini penting karena penetapan suku bunga suatu negara umum mencerminkan kondisi ekonomi negara tersebut. Apalagi pada umumnya negara – negara maju memiliki tingkat suku bunga yang relatif rendah.

DAFTAR PUSTAKA

Asemota, O., & Bala, D. (2011). A Kalman Filter Approach to Fisher Effect: Evidence from Nigeria. CBN Journal of Applied Statistics Vol. 2 No.1.

Abdurahman, M., Muhidin, S. A., & Somantri, A. (2011). Dasar-Dasar Metode

Statistika Untuk. Bandung: Pustaka Setia.

Aktham, M., & Haitham, A.-Z. (2006). Does Fisher Effect Apply In Developing Countries: Evidence From a Nonlinear Cotrending Test Applied To Argentina, Brazil, Malaysia, Mexico, South Korea and Turkey. Applied

Econometrics and International Development.

Ariefianto, M. D. (2012). Ekonometrika (Esensi dan Aplikasi dengan

Menggunakan EViews). Jakarta: Erlangga.

Bank Indonesia. (2018). Bank Indonesia. Diambil kembali dari Inflasi : http://www.bi.go.id/id/moneter/inflasi/data/Default.aspx

Bank Indonesia. (2018). Bank Indonesia. Diambil kembali dari BI Rate : http://www.bi.go.id/id/moneter/bi-rate/data/Default.aspx

Benazić, M. (2013). Testing The Fisher Effect In Croatia: an Empirical Investigation. The 6TH International Confrenece “The Changing

Economic Landscape: Issues, Implications and Policy Options.

Diela, T. (2014, November 18). BI Rate Naik jadi 7,75 Persen, Ini Alasan Bank

Sentral. Diambil kembali dari kompas.com:

http://ekonomi.kompas.com/read/2014/11/18/191907726/BI.Rate.Naik.jad i.7.75.Persen.Ini.Alasan.Bank.Sentral

Edirisinghe, N., Sivarajasingham, S., & Nigel, J. (2015). An Empirical Study of the Fisher Effect and the Dynamic Relationship between Inflation and Interest Rate in Sri Lanka. International Journal of Business and Social

Research Volume 05.

Fatima, N., & Sahibzada, A. (2012). Empirical Evidence of Fisher Effect in Pakistan. World Applied Sciences Journal.

Ghozali, I. (2011). Aplikasi Analisis Multivariate dengan Program IBM SPSS 19. Semarang: Badan Penerbit Universitas Diponegoro.

Gitman, L. (1991). Principles of Managerial Finance. Amerika: HarperCollins.

Judisseno, R. (2005). Pajak dan Startegi Bisnis , Suatu Tinjauan Tentang

Kepastian Hukum dan Penerapan Akuntansi di Indonesia. Jakarta: PT.

Gramedia Pustaka Utama.

Kieso, K. (2013). financial accounting. WileyPlus.

Kotler, P., & Amstrong, G. (2012). Principles of Marketing fifteenth edition. Pearson Education.

Kurniawan, D. (2008). Regresi Linier. Viena.

Mankiw, G., Quah, E., & Wilson Peter. (2013). Principles of Economics AN

ASIAN EDITION Second edition. Cengage Learning Asia Pte Ltd.

Sugiyono. (2008). Metode Penelitian Bisnis. Bandung: Alfabeta.

Sukirno, S. (1994). Pengantar Teori Ekonomi Makro. Jakarta: Raja Grafindo.

Supriyatna, I. (2016, 06 16). BI Rate Turun, Ini Kata Darmin Nasution. Diambil kembali dari Kompas.com:

http://bisniskeuangan.kompas.com/read/2016/06/16/210120426/bi.rate.tur un.ini.kata.darmin.nasution

Thompsonn, A., & Strickland, A. (1940). strategic management eight edition.

Uddin, G. S., Alam, M., & Alam, K. A. (2008). An Empirical Evidence of Fisher Effect In Bangladesh : A Time-Series Approach. ASA Universities Review,

2, 1 - 8.

Utama, C. (2011, Januari 1). Fisher Effect in Indonesia ( For Period 2006 - 2010).

Bina Ekonomi (majalah ilmiah fakultas ekonomi Universitas katolik Parahyangan), 15, 1 sampai 8.

DATA LAMPIRAN

Data Suku Bunga

no periode suku bunga

1 Jan-14 7,50% 2 Feb-14 7,50% 3 Mar-14 7,50% 4 Apr-14 7,50% 5 Mei-14 7,50% 6 Jun-14 7,50% 7 Jul-14 7,50% 8 Agu-14 7,50% 9 Sep-14 7,50% 10 Okt-14 7,50% 11 Nov-14 7,75% 12 Des-14 7,75% 13 Jan-15 7,75% 14 Feb-15 7,50% 15 Mar-15 7,50% 16 Apr-15 7,50% 17 Mei-15 7,50% 18 Jun-15 7,50% 19 Jul-15 7,50% 20 Agu-15 7,50% 21 Sep-15 7,50% 22 Okt-15 7,50% 23 Nov-15 7,50% 24 Des-15 7,50% 25 Jan-16 7,25% 26 Feb-16 7,00% 27 Mar-16 6,75% 28 Apr-16 6,75%

29 Mei-16 6,75% 30 Jun-16 6,50% Data Inflasi no periode inflasi 1 Jan-14 8,22% 2 Feb-14 8,22% 3 Mar-14 7,32% 4 Apr-14 7,25% 5 Mei-14 7,32% 6 Jun-14 6,70% 7 Jul-14 4,53% 8 Agu-14 3,99% 9 Sep-14 4,53% 10 Okt-14 4,83% 11 Nov-14 6,23% 12 Des-14 8,36% 13 Jan-15 6,96% 14 Feb-15 6,29% 15 Mar-15 6,38% 16 Apr-15 6,79% 17 Mei-15 7,15% 18 Jun-15 7,26% 19 Jul-15 7,26% 20 Agu-15 7,18% 21 Sep-15 6,83% 22 Okt-15 6,25% 23 Nov-15 4,89% 24 Des-15 3,35% 25 Jan-16 4,14% 26 Feb-16 4,42%

27 Mar-16 4,45%

28 Apr-16 3,60%

29 Mei-16 3,33%

30 Jun-16 3,45%

Uji Unit Root Test Entry Level

Null Hypothesis: SUKU_BUNGA has a unit root Exogenous: Constant, Linear Trend

Lag Length: 0 (Automatic - based on SIC, maxlag=7)

t-Statistic Prob.*

Augmented Dickey-Fuller test statistic 0.055001 0.9951

Test critical values: 1% level -4.309824

5% level -3.574244

10% level -3.221728

*MacKinnon (1996) one-sided p-values.

Sample (adjusted): 2014M02 2016M06 Included observations: 29 after adjustments

Variable Coefficient Std. Error t-Statistic Prob.

SUKU_BUNGA(-1) 0.005048 0.091771 0.055001 0.9566

C 0.000134 0.007090 0.018902 0.9851

R-squared 0.199822 Mean dependent var -0.000345 Adjusted R-squared 0.138270 S.D. dependent var 0.001103 S.E. of regression 0.001024 Akaike info criterion -10.83307 Sum squared resid 2.72E-05 Schwarz criterion -10.69163 Log likelihood 160.0796 Hannan-Quinn criter. -10.78877 F-statistic 3.246382 Durbin-Watson stat 1.605675 Prob(F-statistic) 0.055135

Uji Unit Root Test Inflasi Entry Level

Null Hypothesis: INFLASI has a unit root Exogenous: Constant, Linear Trend

Lag Length: 0 (Automatic - based on SIC, maxlag=7)

t-Statistic Prob.*

Augmented Dickey-Fuller test statistic -1.792299 0.6823

Test critical values: 1% level -4.309824

5% level -3.574244

10% level -3.221728

*MacKinnon (1996) one-sided p-values.

Augmented Dickey-Fuller Test Equation Sample (adjusted): 2014M02 2016M06

Included observations: 29 after adjustments

Variable Coefficient Std. Error t-Statistic Prob.

INFLASI(-1) -0.223014 0.124429 -1.792299 0.0847

@TREND(2014M01) -0.000243 0.000229 -1.060864 0.2985

R-squared 0.110087 Mean dependent var -0.001645 Adjusted R-squared 0.041632 S.D. dependent var 0.008707 S.E. of regression 0.008523 Akaike info criterion -6.594309 Sum squared resid 0.001889 Schwarz criterion -6.452865 Log likelihood 98.61748 Hannan-Quinn criter. -6.550010 F-statistic 1.608171 Durbin-Watson stat 1.354664 Prob(F-statistic) 0.219542

Unit Root Test 1st Difference Entry Inflasi

Null Hypothesis: D(INFLASI) has a unit root Exogenous: Constant, Linear Trend

Lag Length: 0 (Automatic - based on SIC, maxlag=3)

t-Statistic Prob.*

Augmented Dickey-Fuller test statistic -3.843732 0.0289

Test critical values: 1% level -4.323979

5% level -3.580623

10% level -3.225334

*MacKinnon (1996) one-sided p-values.

Augmented Dickey-Fuller Test Equation

Dependent Variable: D(INFLASI,2) Method: Least Squares

Date: 01/10/18 Time: 21:10

Sample (adjusted): 2014M03 2016M06 Included observations: 28 after adjustments

Variable Coefficient Std. Error t-Statistic Prob.

D(INFLASI(-1)) -0.744779 0.193765 -3.843732 0.0007

C -0.001396 0.003648 -0.382621 0.7052

@TREND(2014M01) 8.91E-06 0.000208 0.042750 0.9662

S.E. of regression 0.008904 Akaike info criterion -6.503613 Sum squared resid 0.001982 Schwarz criterion -6.360877

Log likelihood 94.05058 Hannan-Quinn criter. -6.459977 Durbin-Watson stat 1.798835

Unit Root Test 1st Entry Suku bunga Bank Indonesia

Null Hypothesis: D(SUKU_BUNGA) has a unit root Exogenous: Constant, Linear Trend

Lag Length: 0 (Automatic - based on SIC, maxlag=7)

t-Statistic Prob.*

Augmented Dickey-Fuller test statistic -4.022986 0.0196

Test critical values: 1% level -4.323979

5% level -3.580623

10% level -3.225334

*MacKinnon (1996) one-sided p-values. Sample (adjusted): 2014M03 2016M06 Included observations: 28 after adjustments

Variable Coefficient Std. Error t-Statistic Prob.

D(SUKU_BUNGA(-1)) -0.820795 0.204026 -4.022986 0.0005

C 0.000514 0.000429 1.198157 0.2421

R-squared 0.398234 Mean dependent var -8.93E-05 Adjusted R-squared 0.350093 S.D. dependent var 0.001270 S.E. of regression 0.001024 Akaike info criterion -10.83006 Sum squared resid 2.62E-05 Schwarz criterion -10.68733 Log likelihood 154.6209 Hannan-Quinn criter. -10.78643 F-statistic 8.272199 Durbin-Watson stat 1.880087 Prob(F-statistic) 0.001749

Regression Test

Dependent Variable: SUKU_BUNGA Method: Least Squares

Date: 01/10/18 Time: 22:07

Sample (adjusted): 2014M01 2016M06 Included observations: 30 after adjustments

Variable Coefficient Std. Error t-Statistic Prob.

C 0.066510 0.001722 38.61446 0.0000

INFLASI 0.125200 0.028128 4.451138 0.0001

R-squared 0.414381 Mean dependent var 0.073917

Adjusted R-squared 0.393466 S.D. dependent var 0.003127 S.E. of regression 0.002435 Akaike info criterion -9.133224 Sum squared resid 0.000166 Schwarz criterion -9.039811 Log likelihood 138.9984 Hannan-Quinn criter. -9.103340

F-statistic 19.81263 Durbin-Watson stat 0.401568

Co-Integration test

Date: 01/10/18 Time: 18:05

Sample (adjusted): 2014M03 2016M06 Lags interval (in first differences): 1 to 1

Unrestricted Cointegration Rank Test (Trace)

Hypothesized Trace 0.05

No. of CE(s) Eigenvalue Statistic Critical Value Prob.**

None 0.300002 11.59808 12.32090 0.0658

At most 1 0.055915 1.611093 4.129906 0.2399

Trace test indicates no cointegration at the 0.05 level * denotes rejection of the hypothesis at the 0.05 level **MacKinnon-Haug-Michelis (1999) p-values

Unrestricted Cointegration Rank Test (Maximum Eigenvalue)

Hypothesized Max-Eigen 0.05

No. of CE(s) Eigenvalue Statistic Critical Value Prob.**

None 0.300002 9.986988 11.22480 0.0819

At most 1 0.055915 1.611093 4.129906 0.2399

Max-eigenvalue test indicates no cointegration at the 0.05 level * denotes rejection of the hypothesis at the 0.05 level

**MacKinnon-Haug-Michelis (1999) p-values

Unrestricted Cointegrating Coefficients (normalized by b'*S11*b=I):

SUKU_BUNGA INFLASI

-64.29880 78.53604 15.62518 -1.876585

Unrestricted Adjustment Coefficients (alpha):

D(SUKU_BUNG

A) 0.000249 -0.000226

D(INFLASI) -0.004225 -0.000708

1 Cointegrating Equation(s): Log likelihood 251.7130

Normalized cointegrating coefficients (standard error in parentheses)

SUKU_BUNGA INFLASI

1.000000 -1.221423 (0.07945)

Adjustment coefficients (standard error in parentheses) D(SUKU_BUNG

A) -0.015994

(0.01321) D(INFLASI) 0.271687 (0.09151)

Curriculum Vitae

Jeffrey Eduardo Wangsa Kencana

8th Semester Student of Universitas Multimedia Nusantara

Faculty of Business for majority in Finance Management

Email :

j.kencana.jk@gmail.com

Personal Information

Address : Jl. Pakis Raya F5 / 18

Bojong Indah, Jakarta Barat 11740 POB / DOB : Jakarta, 13th of September 1994

Age : 22

Marital Status : Single Blood Type : O (positive) Religion : Catholic ID Number (KTP) : 3173011309940009 Telephone : (021) 581-0322 Handphone : +62-813-1517-5748 Email : j.kencana.jk@gmail.com

Educational History

Period Place Degree Major

2000 – 2006 Vianney, Jakarta Elementary -

2006 – 2009 Vianney, Jakarta Junior High -

2009 – 2012 Vianney, Jakarta Senior High Sains

2013 – Present Multimedia Nusantara University Undergraduate Student Finance Management (GPA: 3.40 out of 4.00)

Academic Achievement

Working Experiences

[2012 - 2015] : Marketing Officer at CV. EMKA Offset Supply

[2016] : Laboratory Assistant of Financial Management 1, Multimedia Nusantara University

[2016] : Laboratory Assistant of Financial Management 2, Multimedia Nusantara University

[MAR–MEY 2017] : INTERNSHIP FINANCE at PT. SMART TBK

[JUN – PRESENT ] : Relationship Manager at PT. Mahkota Sentosa Utama

Organizational Experiences

[2008 – 2009] : Wakil Ketua Putra/i Altar at Gereja St. Thomas Rasul, Bojong Indah [2009] : Logistic Coordinator of Kursus Evangelisasi Pribadi (KEP) at Gereja St.

Thomas Rasul, Bojong Indah

[2009 – 2011] : Main Coordinator for Putra/i Altar at Gereja St. Thomas Rasul, Bojong

Indah

[2010] : The Chief Treasurer of Students Organization / OSIS (Organisasi Siswa

Intra Sekolah) Vianney Senior High School 2010/2011

[2011] : The Head of Technical Organizer of event “VOCIFEROUS” Vianney Cup 5 [2011] : The Chief Secretary of Students Organization / OSIS (Organisasi Siswa

Intra Sekolah) Vianney Senior High School 2011/2012

[2010 – Present] : The Chief of Orang Muda Katolik (OMK) Paulus at Gereja St. Thomas

Rasul, Bojong Indah

[2015] : Mentor of Character Building at Multimedia Nusantara University [2015] : Staff Marketing Division of Investor Club Multimedia Nusantara

University

Seminar And Workshop Participations

[2015] : Seminar “Tips and Trick on Investment at Stock Market” by Henan Putihrai Sekuritas, Multimedia Nusantara University

[2016] : Seminar Information Literacy Skills Program: “Information Resource, Citation, Quality of Information, Plagiarism, Invisble Web, Reading Method and Internet Searching”, Multimedia Nusantara University

Training Participations

[2013] : Training Character Building, Multimedia Nusantara University

[2014] : Training Teamwork and Leadership, Multimedia Nusantara University [2014] : Training Career Building, Multimedia Nusantara University

[2015] : Training for Mentor of Character Building, Multimedia Nusantara University

[2016] : Training for Teaching Assistant Financial Management 1, Multimedia Nusantara University

[2016] : Training for Teaching Assistant Financial Management 2, Multimedia Nusantara University

General Qualifications

 Good communication skill with all level of people in daily operation life.

 Have a good cooperation in team.

 Well experienced using computer softwares.

 Fluent in Indonesian and have a good English for speaking, listening, reading and writing

Other Skills

Financial Knowledge

Corporate Finance, Fundamental, Technical Analysis, etc

Computer Skills

Microsoft Office (Ms. Word, Excel, Power Point), Prezi, Canva and Chart Nexus

Music Skills

Vocal and Instruments (Bass, Drum, and Basic Guitar)

Communication and Working Skills

Fluently in Indonesian and English Language, both spoken and written Having experiences in organization and team, both as leader and staff Able to work independently as well as a team

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