PENDEKATAN
SIX SIGMA-TAGUCHI
DALAM
MENINGKATKAN KUALITAS PRODUK
(Studi Kasus PT. Asaputex Jaya Spinning Mill Tegal)
SKRIPSI
Disusun oleh :
NESVI INTAN OKTAJAYANTI
NIM. 24010211140087
JURUSAN STATISTIKA
FAKULTAS SAINS DAN MATEMATIKA
UNIVERSITAS DIPONEGORO
PENDEKATAN
SIX SIGMA-TAGUCHI
DALAM
MENINGKATKAN KUALITAS PRODUK
(Studi Kasus PT. Asaputex Jaya Spinning Mill Tegal)
Disusun Oleh :
NESVI INTAN OKTAJAYANTI
24010211140087
Skripsi
Sebagai Salah Satu Syarat untuk Memperoleh Gelar
Sarjana Sains pada Jurusan Statistika
JURUSAN STATISTIKA
FAKULTAS SAINS DAN MATEMATIKA
UNIVERSITAS DIPONEGORO
SEMARANG
KATA PENGANTAR
Puji syukur penulis ucapkan atas kehadirat Allah SWT yang telah
memberikan rahmat dan karunia-Nya sehingga penulis dapat menyelesaikan
penulisan Tugas Akhir dengan judul
Pendekatan
Six Sigma-Taguchi
Dalam
Meningkatkan Kualitas Produk
(
Studi Kasus Pt. Asaputex Jaya Spinning
Mill Tegal)
.
Penulis menyadari bahwa dalam penulisan Tugas Akhir ini tidak lepas dari
bimbingan dan dukungan yang diberikan beberapa pihak. Oleh karena itu, penulis
ingin menyampaikan terimakasih kepada:
1. Ibu Dra. Hj. Dwi Ispriyanti, M.Si sebagai Ketua Jurusan Statistika
Fakultas Sains dan Matematika Universitas Diponegoro.
2. Bapak Prof. Drs. H. Mustafid, M.Eng, PhD. dan Bapak Drs. Sudarno,
M.Si selaku dosen pembimbing I dan dosen pembimbing II.
4. Semua pihak yang tidak dapat disebutkan satu per satu yang telah
membantu penulis dalam penulisan Tugas Akhir ini.
Penulis menyadari bahwa penulisan Tugas Akhir ini masih jauh dari sempurna.
Sehingga penulis mengharapkan kritik dan saran demi kesempurnaan penulisan
selanjutnya.
v
Spinning Mill Tegal untuk melakukan upaya perbaikan dalam aktivitas produksinya,
terutama dalam meningkatkan kualitas dengan cara menurunkan produk cacat.Metode
Six Sigma-Taguchi
dapat digunakan dalam meningkatkan kualitas produk benang.
Dari hasil analisis didapat bahwa pada diagram pengendali p data
defect
tidak
terkendali, sehingga nilai kapabilitas proses masih rendah dengan nilai kapabilitas
0,502. Perlu dilakukan perbaikan untuk meningkatkan kualitas produk
benang.Dengan menggunakan metode
Taguchi
dapat diketahui faktor dan level
optimal untuk meningkatkan kualitas benang. Faktor dan level tersebut adalah faktor
TPI dengan level optimal yang dapat digunakan yaitu Level 2 (13,5 rpm), level
1(38,3 tpm) untuk faktor
Speed Delivery,
untuk faktor berat kapas level optimal yang
dapat digunakan yaitu level 1 (2,0 Kw) dan faktor Grain level optimalnya adalah
level 2 (400 Ne).
vi
BSTRACT
The main factors to achieve business success in the era of globalization is the quality.
In the business world, quality control is the key to maintaining customer loyalty. For
a company doing quality control is expected to achieve the company's goals, related
to the company's revenue. This is the purpose of PT. Asaputex Jaya Spinning Mill
Tegal to make efforts to improve the production activities, especially in improving
quality by reducing defects. Six Sigma-Taguchi method can be used to improve
quality yarns product. From the analysis we found that the control diagram p, data of
defects is uncontrolled, so the capability process is still low with capability value is
0.502. So, it need to be improved to enhance product quality yarns. By using the
Taguchi method we can know factors and optimal level to improve the quality of the
yarn. That Factor and level is TPI with the optimum level that can be used are Level 2
(13,5 rpm), level 1 (383 tpm) for Delivery Speed factor, for the weight of cotton the
optimum level is level 1 (2,0 Kw) and factor Grain the optimal level is level 2 (400
Ne).
vii
A
!"# $#%&'&(&)
%*+*, *-. / 0/+11111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111 2
%*+*, *-3 4- 5 46 *%*-7 111111111111111111111111111111111111111111111111111111111111111111111111111 2 2
%*+*, *-3 4- 5 46 *%*-77 11111111111111111111111111111111111111111111111111111111111111111111111111 2 2 2
8*9 *3 4-5 *-9*: 11111111111111111111111111111111111111111111111111111111111111111111111111111111111111111 2
v
*; 69 : *8 11111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111
v
*; 69 : *< 91111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111 =2
0*>9 *:767 11111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111 =2 2
0*>9 *:5* ,; *: 1111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111
x
0*>9 *:9 * ;4+ 111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111
x
2;*;7 3 4- 0 * %/+/*- 1111111111111111111111111111111111111111111111111111111111111111111111111111111 ?
? 1? +&@ &A;B '&C &) D 1111111111111111111111111111111111111111111111111111111111111111111111111111111 ?
? 1E : F( FG&),&G & '&H 11111111111111111111111111111111111111111111111111111111111111111111111111 I
? 1J ;&@ &G &),&G & '&H 11111111111111111111111111111111111111111111111111111111111111111111111111111 I
? 1I 9 FK F&)3B)B' 2@2&)1111111111111111111111111111111111111111111111111111111111111111111111111111 L
;*;77 97-. */ *-3/69 * 8*11111111111111111111111111111111111111111111111111111111111111111111111111 M
E 1? *' FA3ANO FCG211111111111111111111111111111111111111111111111111111111111111111111111111111111 M
E 1E 3B)DB A@ 2&)8 F&' 2@&G 1111111111111111111111111111111111111111111111111111111111111111111111 ? P
E 1J
Critical to Quality
Q<9 R S1111111111111111111111111111111111111111111111111111111111111 ??E 1I
Six Sigma
11111111111111111111111111111111111111111111111111111111111111111111111111111111111111 ?EE 1L 9&H& T&)
Six Sigma
111111111111111111111111111111111111111111111111111111111111111111111111 ? Lviii
UVWVU
Measure
VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV XYUVWVZ
Analyze
VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV X[UVWV\
Improve
VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV UXUVWVW
Control
VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV Z XUVY ] ^_`abcde_f dgVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV Z X
hihjjj klmn onpnqjr l `lpjmji`VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV Z Y
Z VX s tcuvbodfd VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV Z Y
Z VU w db_duv er v xv e_ f_ dx VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV Z Y
Z VZ kvfa yvi xde_ g_ gVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV Z z
hihjw {isjpoi `r lkhi{ i s i`VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV \ X
\ VX
Define
VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV \ X\ VU
Measure ...
\ W\ VZ
Analyze ...
\ z\ VZ VX]^_`a bcde_ f dg VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV \ |
\ VZ VUo_d}bdcr v x}v xy de_~ VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV \ |
\ VZ VZd~ du_ e_ f dgrba gv g VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV W
\ VZ V\k dfb_ gnbfa}a x de VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV WX
\ VZ VWi`n w i VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV WU
\ VZ VY dg_as ` VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV WY
\ VZ Vzr v bgv xa xf b_u tg_ VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV Wz
\ VZ V|jxf vbde v~v b d
y
d dx VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV W|\ VZ V[] ^_`a bc de_fdg VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV YX
ix
Improve
¡¢£ ¤ £ ¥
x
§
A
¨© ª« ¬A
®ª «¯°±°²°³
´µ ¶
bar 1.
· ±¸¹º¹ »¼¸½¾¿À Á³°³ÂÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃà ÄGambar 2.
Ź°Æ¿½Six Sigma
ÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃ ÇÈGambar 3.
Ź°Æ¿½É¸³Â¾¿ÊÁ³¾ ¿Ë°¾Ì»¹ ²° ±¿Ë°¾f (x;µ, )
ÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃ ÍÈGambar 4.
ο¾ËÁ²ÏÁ¹¿³ËÁ¹ °¾ ¿Six Sigma-Taguchi
ÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃ ÍÐGambar 5.
Ê¿°Â¹° ²·±¿ ¹· ³° ±¿¾ ¿¾ÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃà ÍÄGambar 6.
Ê¿°Â¹° ²ÎѺÒÓÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃà ÈÔGambar 7.
Ê¿°Â¹° ²ÎÁÕ°Õ·½¿Õ°ËÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃà ÈÖGambar 8.
Ê¿°Â¹° ²ºÁ³ÂÁ³¼ ° ±¿×ÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃ È Ä
pe
!imbangan pelanggan dalam memilih p
!od
/'4
£
e
¤da
¥a
¤kan
¦¤aian di a
§a
¥peneli
§i
§e
¤§a
¤ik
¦¨§¦©melak
¦© ªn peneli
§ian
«ang
mengin
§eg
¤a
¥ikan me
§ode
¬® ¬¯° ±dengan pendeka
§an
² ±¯³´µdalam meng
¦© ¦¤k
¦ªli
§a
¥p
¤od
¦©dengan j
¦¶¦· ¸ ¹º» ¼ º½ ¾¿¾» À Á  À Á ÃÄ Å-
ÆÅ ÃÇ ÈÉÁ ¼¾ ʾË̺»Í»Î½ ¾¿½¾» Ïо ÊÍ¿¾Ñ ¹ÒӼн
(
Ô¿Ð¼Í Ï¾ÑÐÑ ¹Õ.
ÖѾ×п ºØ Ù¾Ú¾ Ô×Í» »Í»Î ÌÍÊÊպξ Ê
)
ÛÜ Ýeneli
§ian ini dilak
¥anakan di
ÝÞÜ ß¥ap
¦§e
à áa
«a
âpinning
ãill
Þägal
Üã
e
§ode
² ±¯³´ µdig
¦¨ªkan dalam pemb
¦ª§an de
¥ain ek
¥pe
¤imen k
¦ªli
§a
¥p
¤od
¦© å¥
edangkan k
¦ali
§a
¥p
¤od
¦©di
¦© ¦¤dengan me
§ode
¬®¬¯°±Üæçèç éÐËÐѾ »Ì¾Ñ¾ ʾê
£
el
¦ëadan
«a peningka
§an k
¦ªli
§a
¥pada
ÝÞÜ ß¥ap
¦§e
à áa
«a
âpinning
ãill
Þä
gal membe
¤ikan dampak men
¦¤¦¨¨«a kep
¦ª¥an pelanggan
Ü £an
«akn
«a caca
§p
¤od
¦© «ang dip
¤od
¦© ¥i
ÝÞÜ ß¥ap
¦§e
à áa
«a
âpinning
ãill
Þägal membe
¤ikan
ke
¤¦gian
§e
¤¥endi
¤i
Ü ì·eh ka
¤ena i
§ ¦åma
¥alah
«ang dibaha
¥dalam peneli
§ian ini
adalah peningka
§an
§e
¤hadap k
¦ªli
§a
¥p
¤od
¦© ådengan meng
¦¤angi caca
§p
¤od
¦©íîïð ï´
t
ñÜæçòçó
atasan
Ìasala
êôª
lam pen
¦·i
¥an
¥k
¤ip
¥i ini pe
¤ma
¥alahan diba
§a
¥i pada penen
§¦ªn
õ ö ÷ ´±ø÷ùú³ ±ø ÷ ûíü Þý ñ
dan caca
§p
¤od
¦© þôª§a
«ang memen
¦ÿpenen
§¦ªn
õö÷´ ±ø÷ ù ú³ ±ø ÷û5
juan
enel
t
an
ene
apkan me
ode
pada peningka
an k
li
a
p
od
dengan
ka
ap
e
!"a
#a
$pinning
ill
%gal
&