LEMBAR PENGESAHAN
Kelompok 2 : 1. Deny Hermawan
2. Vina Apriyanti 3. Septian Ade Putra 4. Ade Khairani 5. Heri Irawan
6. Arif Tri Andespa Putra
Modul : Statistika Deskriptif
Program Studi : Teknik Industri
Universitas Indraprasta PGRI Jakarta
Tanggal : 24 Maret 2015
Mengetahui / Menyetujui Penanggung Jawab Kelas
( Rizky Ikok Franuary )
Assistant (PIC I) Modul I Asisstant (PIC I) Modul I
( Fika Chairani ) ( Hartiwi Permana )
Koordinator Laboratorium Teknik Industri
LEMBAR PERNYATAAN ORISINALITAS
Yang bertandatangan di bawah ini :
1. Deny Hermawan 201444500204
2. Vina Apriyanti 201444500214
3. Arif Tri Andespa Putra 201444500217
4. Septian Ade Putra 201444500262
5. Ade Khairani 201444500236
6. HeriIrawan 201444500248
Menyatakan bahwa laporan modul ini adalah benar-benar pekerjaan kami sendiri. Bila terbukti tidak demikian, kami bersedia menerima segala konsekuensi yang telah disepakati, yaitu nilai praktikum Statistika Industri 1 mendapat nilai E.
Jakarta, 24 Maret 2015
Praktikan,
( Deny. H ) (Vina. A ) ( Arif Tri. A. P )
( Ade. K ) ( Septian. A. P ) ( Heri. I )
MODUL I
Isi Laporan Nilai
BAB I. PENDAHULUAN
BAB II. LANDASAN TEORI BAB III. METODOLOGI
PENELITIAN
BAB IV. PENGUMPULAN DAN PENGOLAHAN DATA
BAB V. ANALISA
BAB VI. KESIMPULAN
Total Nilai :
Jakarta, 25 Maret 2015
(
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Puji Syukur telah dipanjatkan kepada Allah SWT atas karunia-Nya sehingga penyusun dapat menyelesaikan tugas yang membahas tentang statistika deskriptif. Makalah ini disusun sebagai tugas kelompok Modul 1 Statistika Deskriptif pada semester 2 jurusan Teknik Industri, Fakultas Teknik MIPA di Universitas Indraprasta PGRI. Modul ini disajikan dengan menggunakan bahasa yang sederhana dan mudah untuk dimengerti oleh pembaca. Makalah ini membahas tentang Statistika Deskriptif dan cara pengolahan datanya. Dalam modul ini, penyusun mengambil data random atau data acak dari Microsoft Excel yang kemudian di cari ukuran pemusatannya, diurutkan, dikelompokan ke dalam kelas-kelas interval, serta diolah dengan menggunakan program SPSS dan Minitab. Dengan adanya makalah ini, penyusun berharap makalah ini dapat bermanfaat bagi pembaca dan dapat menambah pengetahuan serta wawasan pembaca. Penyusun menyadari makalah ini masih mengandung beberapa kesalahan dan kekurangan, baik dari segi materi maupun penyajian makalah ini. Oleh karena itu penyusun sangat mengharapkan kritik, saran dan komentar dari semua pihak yang dapat membangun untuk perbaikan makalah ini pada tugas makalah selanjutnya.
185,66 ; STDV 3,02 ; Variance 9,10 ; Kurtosis 1,63 ; S.E. Kurtosis 0,54 ; Skewness -0,20 ; S.E Skewness -0,07.Dari hasil yang telahdihitungdenganmenggunakan statistic deskriptifdapatdihasilkandari data tunggaladalah mean 185,76 ; median 185,65 ; kuartil(2) 30,5 ; Persentil(50) ; 30,5 desil(5) 30,5 ; STDV 3,04 ; Variance 3,24 ; Kurtosis 1,66 ; Skewness -0,16.
Descriptive Statistics module is a module assignment in the second term Industrial Engineering University Indraprasta PGRI in which the making of this Descriptive Statistics Module must follow lab procedures and assistance in advance. Descriptive statistics are statistics relating to the method or manner to describe, depict, describe or decipher the data. Statistics description refers to how to organize, present and analyze the data, which can be done for example by determining the arithmetic mean value or the mean, median, mode, quartiles, deciles, percentiles, standard deviation, variance, skewness and kurtosis. Mode is a description technique based on the value of the group that are popular. The median is the middle value of a set of data that has been arranged in sequence from the smallest to the Most serious or otherwise. The mean is the average value engineering of the group. Quartile is the point or score or value that divides the entire frequency distribution into four equal parts. Deciles is a point or score or value that divides the entire frequency distribution of the data that we investigate into 10 equal parts. Percentile is the point or value that divides a distribution of data into one hundred equal parts. Variance or variance is a measure for the spread (dispersion) of data. The standard deviation or standard deviation is a measure of the statistical distribution of the most prevalent. In short, it measures how spread out the data values. Skewness or also called slope size is a number that can show whether or not sloping curve shape of a frequency distribution. Kurtosis is degree of finenessa distribution. On Research Methodology using a flowchart. Flowchart or flow chart is a chart (chart) showing the flow (flow) in the program or procedure logical system. Flowchart (flowchart) is used primarily for tools for communication and documentation.
By taking random data from Microsoft Excel and identification of problems analyzed using descriptive statistics and the data group, single data and interval data limitation issues 180-190, discusses descriptive statistics, using SPSS and Minitab to perform the data processing to be able to know the comparison results do using SPSS and Minitab in a single data processing and group. And from the results of the analysis that has been done can see three of these applications shows results are not much different in data processing. The most striking thing in execution this time is in the process of data processing as well as the longer it takes to get it done.
Conclusion ofmodule 1 of the Descriptive Statistics this is data obtained by the calculation by using descriptive statistics mean is 185.73 ; median 186.54 ; 186.51 mode ; quartile ( 2 ) 185.66 ; percentile ( 50 ) 185.66 ; deciles ( 5 ) 185.66 ; STDV 3.02 ; Variance 9.10 ; Kurtosis 1.63 ; S.E. Kurtosis 0.54 ; Skewness -0.20 ; S.E Skewness -0.07 .
From the results have been calculated using descriptive statistics can be generated from a single data are the mean 185.76 ; median 185.65 ; quartile ( 2 ) 30.5 ; Percentile ( 50 ) ; Deciles 30.5 ( 5 ) 30.5 ; STDV 3.04 ; Variance 3.24 ; Kurtosis 1.66 ; Skewness -0.16.
A. Flow Chart...13
B. Keterangan...14
Bab IV Pengumpulan dan Pengolahan Data...14
A. Pengumpulan Data...14
B. Pengolahan Data...17
1. Pengolahan Data Tunggal...20
2. Pengolahan Data Bergolong...25
3. Pengolahan Data Dengan SPSS ...30
4. Pengolahan Data Dengan Minitab...35
5. Perbandingan Hasil...38
Bab V Analisa ...39
A. Data Tunggal...39
B. Data Kelompok...39
C. SPSS ...40
D. Minitab ...40
E. Perbandingan Hasil...41
Bab VI Kesimpulan...42
