DAFTAR PUSTAKA. Arikunto, Suharsimi. Prosedur Penelitian Suatu Pendekatan Praktik, Jakarta: Rineka Cipta, 2010

DAFTAR PUSTAKA Al Wa’ie. Media Politik dan Dakwah Membangun Keasadaran Umat, Di akses pada 10 Januari 2014 pukul 01.59 WIB, (http://hizbuttahriror.id/2012/11/05/kriminalitas-remaja-di-sekitar-kita/). Arikunto, Suharsimi. Prosedur Penelitian Suatu Pendekatan Praktik, Jakarta: Rineka Cipta, 2010. Asmani, Jamal Ma’mur. Kiat Mengembangkan Bakat Anak Di Sekolah Jogjakarta: Diva Press, Anggota IKAPI, 2012, cet. ke-1. Badan Standar Nasional Pendidikan dan Pusat Kurikulum.Panduan Pengembangan Diri, Jakarta: Pengembangan Diri ALLSON, 2006. Durkheim, Emil. Pendidikan Moral, Suatu Studi Teori dan Aplikasi Sosiologis Pendidikan, Jakarta: Erlangga, 1990. Fathullah, Tiza Awal. “Hubungan Antara Penerapan Hukuman Dengan Disiplin Siswa Kelas X (Sepuluh) SMA Budi Mulia Ciledug”, Skripsi Sarjana UIN Syarif Hidayatullah Jakarta Jakarta: Perpustakaan Utama UIN SyarifHidayatullah Jakarta, 2005. Imron, Ali. Manajemen Peserta Didik Berbasis Sekolah, Jakarta: Bumi Aksara,2011, cet. ke-1. Hamalik, Oemar. Administrasi Kurikulum,Bandung: Mandar Maju, 1992, cet. ke-1

dan

Supervisi

Pengembangan

Hamalik, Oemar. Manajemen Pengembangan Kurikulum, Bandung: PT Remaja Rosdakarya, 2012, cet. ke-5 Hurlock, Elizabeth B. Perkembangan Anak Jilid 2, Jakarta: Erlangga, 1978. Kamus Besar Bahasa Indonesia Dalam Jaringan Online. Badan Pengembangandan Pembinaan Bahasa Kemendikbud, http://kbbi.web.id/disiplin, April2014, di akses Selasa 24 Juni 2014, Pukul 22.20 Khalsa, SiriNam S. Pengajaran Disiplin dan Harga Diri, Jakarta: PT Indeks,2008, cet. ke-2. 64 © UNIVERSITAS MEDAN AREA

Minarti, Sri. Manajemen Sekolah Mengelola SecaraMandiri, Jogjakarta: Ar-Ruzz Media, 2011, cet. ke-1.

Lembaga

Pendidikan

Moleong, Lexy J. Metodologi Penelitian Kualitatif, Bandung: PT. Remaja Rosdakarya, 2009. Muhaimin., dkk., Pengembangan Model Kurikulum Tingkat Satuan Pendidikan (KTSP) Pada Sekolah dan Madrasah, Jakarta: PT Raja Grafindo Persada, 2008. Mulyasa, E. Manajemen Berbasis Sekolah Konsep, Strategi dan Impelementasi, Bandung: PT. Remaja Rosdakarya, 2004. Mulyasa, E. Standar Kompetensi dan Sertifikasi Guru, Bandung: PT Remaja Rosdakarya, 2009. Prihatin, Eka. Manajemen Peserta Didik, Bandung: Alfabeta, 2011, cet. ke-1. Rosdiansyah, Aziz. “Peranan Pendidikan Akhlak Dalam Pembinaan Disiplin Belajar Siswa Kelas 2 Madrasah Tsanawiyah Muhammadiyah 1 Ciputat”, Skripsi Sarjana UIN Syarif Hidayatullah Jakarta, Jakarta: Perpustakaan Utama UIN Syarif Hidayatullah Jakarta, 2010. Sabri, H.M. Alisuf. Ilmu Pendidikan, Jakarta: CV Pedoman Ilmu Jaya, 1999, cet.ke-1. Sahertian, Piet A. Dimensi-Dimensi Sekolah,Surabaya: Usaha Nasional, 1994, cet. ke-1.

Administrasi

Pendidikan

Di

Suryosubroto, B. Proses Belajar Mengajar Di Sekolah, Jakarta: PT Rineka Cipta, 2002, cet. ke-1 Suryosubroto, B. Tata Laksana Kurikulum, Jakarta: PT Rineka Cipta, 2005, cet.ke-2. Sutisna, Oteng. Administrasi Pendidikan, Dasar Teoritis Untuk Praktek Profesional, Bandung: Angkasa, 1993. Suwanto., dkk., Ayo Belajar di Sekolah, Yogyakarta: Kanisius Anggota IKAPI,2010.

65 © UNIVERSITAS MEDAN AREA

Tim Dosen Administrasi Bandung:Alfabeta, 2010,

Pendidikan

UPI.

Manajemen

Pendidikan,

Undang-Undang SISDIKNAS (Sistem Pendidikan Nasional) No. 20 Tahun 2003. Jakarta: Sinar Grafika, 2011, Wahjosumidjo.Kepemimpinan Kepala Sekolah, Jakarta: PT Raja Grafindo Persada, 2010,


NamaPeneliti : Fransciscus Lembaga

: FakultasPsikologi UMA Jl. Kolam No. 1 Medan Estate

Program

: SPSS

Variabel

: 1. Kedisplinan 2. KegiatanEkskulSiswa

Reliability

Notes Output Created

25-Aug-2016 03:23:12

Comments Input

Active Dataset

DataSet0

Filter

<none>

Weight

<none>

Split File

<none>

N of Rows in Working Data

106

File Matrix Input Missing Value Handling

Definition of Missing

User-defined missing values are treated as missing.

Cases Used

Statistics are based on all cases with valid data for all variables in the procedure.


Syntax

RELIABILITY /VARIABLES=VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 VAR00006 VAR00007 VAR00008 VAR00009 VAR00010 VAR00011 VAR00012 VAR00013 VAR00014 VAR00015 VAR00016 VAR00017 VAR00018 VAR00019 VAR00020 VAR00021 VAR00022 VAR00023 VAR00024 VAR00025 VAR00026 VAR00027 VAR00028 VAR00029 VAR00030 VAR00031 VAR00032 VAR00033 VAR00034 /SCALE('Kedisplinan') ALL /MODEL=ALPHA /SUMMARY=TOTAL /ICC=MODEL(MIXED) TYPE(CONSISTENCY) CIN=95 TESTVAL=0.

Resources

Processor Time

0:00:00.016

Elapsed Time

0:00:00.015

[DataSet0]

Scale: Kedisplinan

Case Processing Summary N Cases

Valid a

Excluded Total

% 106

100.0

0

.0

106

100.0


Case Processing Summary N Cases

Valid a

Excluded Total

% 106

100.0

0

.0

106

100.0

a. Listwise deletion based on all variables in the procedure.

Reliability Statistics Cronbach's Alpha

N of Items

.806

34

Item-Total Statistics Scale Mean if

Scale Variance if

Item Deleted

Item Deleted

Corrected Item- Cronbach's Alpha Total Correlation

if Item Deleted

VAR00001

104.3774

79.437

.204

.804

VAR00002

105.9623

82.951

-.131

.815

VAR00003

104.3019

78.937

.281

.802

VAR00004

104.5283

78.137

.269

.803

VAR00005

104.3585

81.908

-.044

.813

VAR00006

104.3774

80.390

.063

.810

VAR00007

104.2453

79.673

.177

.805

VAR00008

105.0189

76.095

.339

.800

VAR00009

104.9906

76.486

.305

.801

VAR00010

104.2830

76.795

.413

.798

VAR00011

104.6981

82.346

-.081

.817

VAR00012

104.9245

74.966

.441

.796

VAR00013

104.0943

78.467

.286

.802

VAR00014

104.4906

76.290

.419

.797

VAR00015

104.3585

79.051

.261

.803

VAR00016

104.6792

73.839

.549

.791


VAR00017

104.4811

77.338

.280

.802

VAR00018

104.4245

74.818

.570

.792

VAR00019

104.7075

79.847

.104

.809

VAR00020

105.8019

82.465

-.094

.825

VAR00021

104.5660

80.896

.413

.796

VAR00022

104.8679

74.725

.425

.796

VAR00023

104.3774

76.656

.432

.797

VAR00024

104.5660

75.753

.444

.796

VAR00025

104.5566

77.087

.332

.800

VAR00026

104.6132

74.049

.607

.790

VAR00027

104.4245

74.494

.515

.793

VAR00028

104.5000

77.986

.309

.801

VAR00029

104.6792

74.315

.591

.791

VAR00030

104.7925

72.890

.679

.787

VAR00031

104.4623

75.584

.552

.794

VAR00032

104.6792

75.153

.465

.795

VAR00033

104.5189

76.347

.467

.796

VAR00034

104.1321

79.525

.219

.804

Item Yanggugursebanyak 7 item yaituNo :

2, 5, 6, 7, 11, 19, 20

NPar Tests


25-Aug-2016 03:54:14

Comments Input

Active Dataset

DataSet0

Filter

<none>

Weight

<none>

Split File

<none>

N of Rows in Working Data File


106

Missing Value Handling



Cases Used

Statistics for each test are based on all cases with valid data for the variable(s) used in that test.

Syntax

NPAR TESTS /K-S(NORMAL)=Displin /STATISTICS DESCRIPTIVES /MISSING ANALYSIS.

Resources

Processor Time

0:00:00.016

Elapsed Time

0:00:00.016

Number of Cases Allowed

a

196608

a. Based on availability of workspace memory.

[DataSet0]

Descriptive Statistics N Keddisplinan

Mean 106

Std. Deviation

84.2358

Minimum

8.71840

58.00

One-Sample Kolmogorov-Smirnov Test Keddisplinan N Normal Parameters

106 a,,b

Most Extreme Differences

Mean

84.2358

Std. Deviation

8.71840

Absolute

.101

Positive

.047

Negative

-.101

Kolmogorov-Smirnov Z

1.039

Asymp. Sig. (2-tailed)

.230


Maximum 103.00

a. Test distribution is Normal. b. Calculated from data.

Model Description Model Name Series or Sequence

MOD_1 1

Keddisplinan

Transformation

None

Non-Seasonal Differencing

0

Seasonal Differencing

0

Length of Seasonal Period

No periodicity

Standardization

Not applied

Distribution

Type

Normal

Location

Estimated

Scale

Estimated

Fractional Rank Estimation Method

Blom's

Rank Assigned to Ties

Mean rank of tied values

Applying the model specifications from MOD_1

Case Processing Summary Keddisplinan Series or Sequence Length

106

Number of Missing Values in User-Missing

0

the Plot

0

System-Missing

The cases are unweighted.

T-Test



25-Aug-2016 04:28:41

Comments Input

Active Dataset

DataSet0

Filter

<none>

Weight

<none>

Split File

<none>


106

File Missing Value Handling


User defined missing values are treated as missing.

Cases Used

Statistics for each analysis are based on the cases with no missing or out-ofrange data for any variable in the analysis.

Syntax

T-TEST /TESTVAL=0 /MISSING=ANALYSIS /VARIABLES=EkskulNonEkskul /CRITERIA=CI(.95).

Resources

Processor Time

0:00:00.015

Elapsed Time

0:00:00.015

[DataSet0]

One-Sample Statistics N

Mean

Std. Deviation

Std. Error Mean

IkutEkskul

53

84.3019

9.11589

1.25216

TdkIkutEkskul

53

84.17

8.389

1.152


One-Sample Test Test Value = 0 95% Confidence Interval of the Difference t

Df

Sig. (2-tailed)

Mean Difference

Lower

Upper

IkutEkskul

67.325

52

.000

84.30189

81.7892

86.8145

TdkIkutEkskul

73.044

52

.000

84.170

81.86

86.48

T-Test


25-Aug-2016 06:40:19

Comments Input

Active Dataset

DataSet0

Filter

<none>

Weight

<none>

Split File

<none>


53




Cases Used


Syntax

T-TEST /TESTVAL=0 /MISSING=ANALYSIS /VARIABLES=VAR00001 VAR00002 /CRITERIA=CI(.95).

Resources

Processor Time

0:00:00.015



25-Aug-2016 06:40:19

Comments Input

Active Dataset

DataSet0

Filter

<none>

Weight

<none>

Split File

<none>


53




Cases Used


Syntax

T-TEST /TESTVAL=0 /MISSING=ANALYSIS /VARIABLES=VAR00001 VAR00002 /CRITERIA=CI(.95).

Resources

Processor Time

0:00:00.015

Elapsed Time

0:00:00.015

[DataSet0]

One-Sample Statistics N

Mean

Std. Deviation

Std. Error Mean

IkutEkskul

53

84.3019

9.11589

1.25216

TdkIkut

53

84.1698

8.38895

1.15231

One-Sample Test


Test Value = 0 95% Confidence Interval of the Difference t

df

Sig. (2-tailed)

Mean Difference

Lower

Upper

IkutEkskul

67.325

52

.000

84.30189

81.7892

86.8145

TdkIkut

73.044

52

.000

84.16981

81.8575

86.4821

GET FILE='C:\Users\USER\Documents\Franciscus.sav'. ONEWAY Ekskul BY NonEkskul /MISSING ANALYSIS.

Oneway


29-Aug-2016 00:39:36

Comments Input

Data

C:\Users\USER\Documents\Franciscus. sav

Active Dataset

DataSet1

Filter

<none>

Weight

<none>

Split File

<none>


106




Cases Used

Statistics for each analysis are based on cases with no missing data for any variable in the analysis.

Syntax

ONEWAY Ekskul BY NonEkskul /MISSING ANALYSIS.

Resources

Processor Time

0:00:00.015



29-Aug-2016 00:39:36

Comments Input

Data

C:\Users\USER\Documents\Franciscus. sav

Active Dataset

DataSet1

Filter

<none>

Weight

<none>

Split File

<none>


106




Cases Used

Statistics for each analysis are based on cases with no missing data for any variable in the analysis.

Syntax

ONEWAY Ekskul BY NonEkskul /MISSING ANALYSIS.

Resources

Processor Time

0:00:00.015

Elapsed Time

0:00:00.015

[DataSet1] C:\Users\USER\Documents\Franciscus.sav

ANOVA IkutEkskul Sum of Squares

df

Mean Square

Between Groups

2492.420

25

99.697

Within Groups

1828.750

27

67.731

Total

4321.170

52


F 1.472

Sig. .164




DAFTAR PUSTAKA. Arikunto, Suharsimi. Prosedur Penelitian Suatu Pendekatan Praktik, Jakarta: Rineka Cipta, 2010

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