rftar lsi
Draw Point Construction lmprovement Uslng Six Sigma
[,1u6yid Hasan Basd, Rakhmat Mulyanh
Pengcmbangan Pengukuran Daya Saing dengan llfefodo/o gi World Economic Forun (IVEFJ untuk Tingkat Propinsi Jawa Barat: Hasil pengukuran dan ldentifikasi Faktor Kunci
Dwi Larso
Model Struktural Pengaruh Atribut Produk Terhadap Kepuasan dan Loyalitas Pelanggan: Studi Kasus Pelanggan Telkomsel di Jabodetabek
lsti Surjanda.i, Deny Hamdani
Pond's Brand Community Potentiatr Among High School Female Students in Bandung
leza Ashad Nasulion, Kaninia Radiahi
)enga-ruh. Nilai.Nilai Personal, Gaya Kepemimpinan dan Budaya Organisasi rerhadap Kepuasan Kerja Karyawan
\udk Guslomo. Anita SiManita
renggunaan Soft Systen Methodoloy dan Grounded Theory dalam Membangun Teorl rada Penelitian Proses Strategl (Stntegy procxs Researchi
/idjajani. Suna llahja Djaiadiningral, Hari Lubis, Gatot yudoko
rnalisis Kebijakan Pengembangan Industri Kreatif di Kota Bandung
)gar l\4. Slmalupang, Gatot Yudoko, Yuanlb Handayati, Agung pasc€suseno, 'ishna Pemadi, Wanda Listiani
J u r n a l M a n a J e m e i T e k n o r o { l
Volum€8Number12009
Draw Point Construction lmprovement Using Six Sigma
t{ursyld Hasan Ba3rl
Ope€tons and Pedomance Management Groilp school ol gtlsiness and Managemenl ITB
muGyid@sbm.ilb ac id Ralhnat Mulyanto
Depafunent of Unde€ound Consbrlclion PT. Freeport Indonssia
€khmal-mulyanto@ftni com
Abstract
Dtaw pdnt is a toadhg point berosll, I slope, u61i'jng gav y to 'ove down bulk maleial n tJndeenund Mlno F,ock Ca,,;,ng of PT Fr,glr,tl lndonesia' /4 dnw poinl is a sloo/ 861 6't is ot€ded 'nd pourei ln ptace wllh 6,nmte. Tltt|B a'E I sub prccsssgs ot d|rw poinl consfuc0onl s'ito prEparadon' 'leancot'l/Jr,le,anboddedrail,uncnlef,(r,t'anvillop'linletfit'lotning&rneshirq'wallEtcfil
conl)r)le, s@plng &genetal dean4p. Eased on data anatsb pedtd 2008' f'eta is 8 gap 1 03 uhll dnw Nint ol yea;y wgot ttiltt avaElgo ol @ntpblion line ot a daw Nnl @n*udjon 46 44 shitls €nd
"Ona"rU a*irtion O.gS tt' ns. ftis stowet W g 7y" ot la4st 't2 stfits lho hrgh sradad deiatin aN slor{gf 0rccess i,rdic€fo dlo s is a ptffist quary pto r/n in dnw Fint @ndnrtioNt 9l nakes dnw
poinl canstrudion tn.f,nf,iance lo achieve ils nonkly ot yesv larget'
Fo nploving lho prccess quav Six Signa ap'(,ach wth DMAIC nethdolqy will bo usod to identilv incaoabre pmcoss €nd ls ca uses. I]hen altemalive sott .,ts ae UorDsed lo 6' iI and @ntol the ke'l pfg.gss var'ables csusitg fie deftcls'
Key words: Confletionline, P0c€ss Qualty Stx Srgma, DMAIC
1. lnkoduction
Draw point is a loadlng point beneaf! a slope' utitilng gravity lo move dom blllk matenal In Undeeround Mine Block caving ol PT Freepod lndonesia Th€ dt8w pdnt constuclion flocess consisb
ofgsubprccess€sthatisstar|edlromsitepreparationandfinishedbysbippingandgeneEldeanup, The oiclures ofdraw poinl sub process ale p€senled in Figures 1-8
Underground mine ason€ of PT Freeport lndonesia mlning division, give responsibility to undsrground construction departmenl lhat constructs draw point day by day as amount that is planned in Rr\AB.
Cunenlly IJG Construction has 88 employees fordrawpointconstruclion lhatwo in24houls(oneday consistof3shifts: day, swing and nightshift)grouped in4 crews that tollow roster T-2, 7-2, 7-3.
Based on analysis dala draw point constructio! in period 2008, there is a gap4.03 unitdrawpoint from yeatly target (145.97 unils of 150 units yea y target) with ave.age of completion time of draw point conslruction46.44 shitts and slandard doviation 6_95 shjfts. lt ts slower 9.7% ol target 42 shjfts. The high standard deviation and slower process indicated there is a process quality problem in draw point construclion. lt will have direclly impact on the incomplianco of draw point construction to RKAB target.
To improve this pfocess quality problem, D[,4A|C framework (Deline-Measure-Analyze-lmp.ove- Conlol) will be used (Pfzdet, 2003a). DMAIC is a vatuable tool that helps peopt€ tinds pemanent solutions to long-standing ortricky business problems focus on cuslomerrequirement. Some tools thal ar€ used in this study are refered to Pyzdek (2003b).
FbuG 3. t6!D Coicr.t I Emb.dod Ratl
L i r r a , N e ' l a j e f t . 4 r r e k . t I
F{uc 7 w'll I R@l Fmii9 aid Cs@E FsuE 0 StDriA t @ftlO.r' uo
2.Define
The lirst siep to get the Six Sigma starled, proposed project chader lhal desc.ibes he cudenl situation of dnw poinl conslruction process, the objec0ve and the scop€ otlhis improvement. Figure 9 pres€nls he poject charter of this prcject for improving draw point consttuction pocess. The main objective is get a significant improvement in process speed by increasing productivity, decreasing vadation in crew and eliminating non added value to reduce completion lme 9.77. faster and lo reduce man shiff to be 136 manshifts perunil.
CdrpladdrTltnc
It
Adrlavqnrnt Der Cilw
Afier lhe prdecl charlor slroady approved, the ngxt step is preparo lho as-is prccess mapping of draw polnl conslrucllon as shown :: Elgr re 10. The cross functlonal process mapping doscdbes all of activity in d|aw point constucton prcc€sg. Affgr cr€atod process map, lhsn will b9 idonlified who are lhe suppliers and customers of draw point construc,lion prccess. SIPOC diagram in Figurc 1i presents supplier (S), input process (l), process (P), oulput pocess (O) and customer (C).
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ve.t2,5 unlts DP per month 9
)elNar 150 unltr DP tna \car 9
ED 3
ED lette r hando\€r process 3
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EO rlme comole tion 42 shllrtoe. unit DP 9
-esstnan 5 5611s/!dit DP per month 9
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.essthan 136 manshifts/unlt 0P per
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1
Entlru.dnt O€partment Co$t Control Departlrlent
HIgh6t
J u r n a l l , , l a f a l e r n e n T e k n o t o l J L
Fgucn SPOC D6* poml CsdruclM
OLrlput of draw poinl construction then will be aligned with cuslomer @quiremenl Voice of @stomer (VOC) can b€ a tool to identry what is the critical output to costomer' Based on inteNiew wilh Engineering Department, Produclion Department and Cost Contot oepa'bnent, we can get lhe voice of cuslomerNOC)asshown inTable 1.
WPOINT CONSTRUCTION
PROCESS OUTSUT CUSTOMER
3.Moalurc
Measu. ls a phasg to measuro rhe cur€nt prccess p€rfomance. rt is no€dod to noasurc rhe curent process complian@ wlth customor requkement. Before measudng the curent process compjiance, il rs need€d lo conduc.t 0te measuBment system analysis (MSA) to darify ho capability of measurement tools. For draw poinl pocess, curonty UG Construction have field slppod personnel €ach shiff that appraisss shin progruss in €nd of ltre shifr that will bC leporled io senior managemenl. To @nduct tne MSA{ it will be a test to hem using some pictu.e of task to be appfaised the progress ol them twice. .I resull ofthe test is descdb€d in Table 2. ne
Ed€ 2 llSA b.* pdnlpt dlf
Based on data abov6, uslng Minitab soflwaro, it is analzod gauge Roprcducibitity and Repeatability.
llo analyrb ,"lult 6! sho{,n ln Flgu.s 12, the mo"t % conhbullon ol vada on come frcm parl-to.psd 93.87% Mlle 6.'l3% contdbuflon ol the Gauge R&R (below 10%). Th6 numbor ot distinct cateqories is 5 (more lhan 4). So basod on h9 Automobile Industry Aclion Ooup (AIAG) standad, the mea-surement systemisacceplable(Hendradi 2006).
o.C. Rtn lnldt - A'IOVA r.OEd tloc!... !.tri.t1.n I .r..u.ry ?OO9 P.po.r.d by:
-Ir.-$rr Axon^ t br.Wtiffi6
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FrouE 12 Gr{. nrR snd, drr [*rbb
J u r n a I M a n a j e m e n T e k n o l o q I
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Atter checking thg capability of lhe measurcment whidr is ac4eptable. U|en il will be condnued by measudng lhe draw point complianc€ to voice ol dstomer Table 3 shows that he qlfienl prccess has hlgh defect mte. lhe result gives us waming syslem lhal the process can b€ incapable.
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r.lh tal ,.r 12.5 !.ll| 0P 0.. monlh
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To check the €pability of the process then it will be conducted c€pability analysis for he axrent prccess.
The data inoutto Minitab is comoletion time each task of dBw Doinlorocess. Tltere are 155 data fiom different location. The dala input is shown in Table 4. Figure 3.3 descdbes he c€pability analysis of D€w poinl Construction proc€ss, Figures 14 and 15 lor wall E roof meshing t lorming as lie lowest sigma lev€loldraw Dointsuborocassos. Thesummarized foralldrawDointsub Drocesses as shown in Table 5
T.fls 1. thb InM fo. C$obfig/vE !b
TabL 5. Sonnaiz€d pnc..s Capodny Ea.n Tast
,tE 6Fl|It' o?Or.w t tra
Flguru 14. P@ss Cap€blry ot D.aw poht C.nsrddion
r r . r a r M i a a , , : m e r r e ,
t€{ C.Fllll' ., Srll I l6t ta.|l4 a tditha
Fiqu|s 15. Pmcoss Cap€bilily ol wall & Rool Meshin{ & Fo{irlng
Eased on sub prcc€sses €pability result above, wall & rcot meshing & foming is 01e lowest ggma level' Next step, lhis sub process will be fudher analfzed to get he rcot €use ol process quality poblem..
4,Analf:€
By using experi€nce and operalional @mnon sense in group discussion and inleMew wlth some pgrson in chargo in draw point consbuction fiable 6), it is tound some potenlial caus€s ol $e incapable proc€ss lor wall & rof meshing 8 foming. All he potential c€uses will b€ desc{ib€d in Fault Tree Analysis but only significanl operationally and slatjslic€lly causes will be explained in his pap€r
Eblo 6. PeM in Ch.q. in o.fl Finl cnstucljo.
Figure 16 shows lhe laull lteo analysis of Wall & Roof Meshing A Forming. The filst analFis is conduded on ths stabilily ol wall & roof meshing & loming process. Using he conbol chad as shown in fgure 1 7, it found 21 points that is he indicalion ol out ol cDntol pro{ess. At shorn in hult tee analysis, he out of conlrol proc€ss i6 caused by 4 faclo6. They are number ol elea readyi over bleali acaess sharing i 3nd access blockgd. Based on lhe spocialc€uses analysis, he over brcak of nose bumper aM draw pdnl area arc lhe mosl common causes of out ot control Docess. lt needs to be stabilized beforc tudle impmvement using problem solving process.
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V.l.!orl..d.oordin.tion rnh ltlin.an.,
irshall td.o.. Or.w poid C
i h i l r t d . m . n D a s P o i ^ r c 6 n u r i 6 V.k.dr.r Poi^r a! 3dr.tt'aaa
Figwe 16. Fauti T6e An.tsis ot WaI & Root Meshing E Fomins
Figu/e 17. Controt Chan ot Wa[ & Root Meshing & Foming
" H0 No Din66n@ fttrdlcne!,m &d . H, o|fltrs€ pndu.rvry 6;ono cr;
I-MR Chart of Wall & Roof eshlng & Forning
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t
c
F,gue l9 Ana ys s ol Mean AclNily by C,ew
After analyzing the out of contrcl lactors, lhen in control faclor is elaboraled The lllsl analysrs ls conducted lo check the crclr vadance. Based on two way ANOVA resull as shown in llglre 18 which analyze the mean oteach crew aclivity pershift and prcgrcss pershiftwe got infomalion lhal there rsn l sufficienl evidence at 950/0 level ol signillc€nce to show that differenc€ producllvity among C'ew (Ho) becauseofp-value more than 0.05.
Figu@ 13 Two Way ANOVA Aclivrty and pog@$ WR p€r Crew & 0.y ol @t*
Then lt will be analyzed the produclivityotcrewin wall&rcolmeshlng & foming process Based0ntabie 7, the curent productivity pershift is stilllowerlhan customer .equirement. Number of activities lhat is conducted each crew lower by 8% and progrcss per shift pef area draw point lower 11% to gel requirement 12.5 draw poinl per month. Eased on Figures 19 and 20 allcre$' have perlormance lower than value rcquired.
Table 7 ConplianceoiCur€nl U/all& Roor Meshing & Foniig P.ocess
N O T a r a e t
1 N o o f a c t i v i t i e s p e r r h i f t l 9 4 1 . 8 0 a'/.
2 P r o g r e 5 s p e r s h r f t p e r a r € a 0 0 7 0 0 6 l 1 %
OreWdV mo.tul A,NOni ld A.llvlly lA/R p5 shlfl a E ! = 0 ( 6
i ,."
rrc.w:yAtovA:^d|vllywnp.
cElv€y l\loiEl iAS4 fa pr.gr- ${ pd Ea ft Df, DP
^ F b - 0 6
Figu€ 20. Aialtsis ol Mean Pograss p€r Activily by cl#
' Ho : No Corda!.n Lnjry & Avrlbb$ry wlrh PoOos ' He : Co@hnon Uliliy I Avalhbiily rth Pms'B
ForanalFing squipmentconlribution inthe incapable process ofwall& rcofmeshing &forming, itwillbe anallz€d co(elallon betweon thg utility of boom lruck and the achi€vomenl of draw polnt as shown in Figurc 21, The rosult ls Thoro lsn't sufilclent svldence at 95% levelof slgnllicance io show that any conelalion ulllity & availability wilh achievemenl (Ho), Table 8 gives other intormation that the boom truck utility slill low compare wilh the availability of this equipment_
codr.tronr: urlhy, Av.arrbtuiy, tYR acht.wm..ri acntmm.d
Figuf€ 2l. Tle Corelalion r!1alysis Ulilhy vs Achlov€ment
Tabl6 L B@m Truc{ Data
Equlprnent E q N o Availabllity l%) utillty l%) Eoom Tr!ck
730031 93% 24%
710044 96% 20%
730045 93v. 3 7 %
J u r n a l f u l a n a t . m e r r s k r o i r i . r
Sased onanalYsisabove, ilcan be concluded lhalthe out of mnlrol prccess causes have lo solve lirsl to makeprocessstable andthen lollowed byinqeasing he productivity to achieve 12 5 un(5draw polntper monlhasrequrred.
Figurc 22. The Rool Caus€ ol ln€Fble wall 6 Roor Meshns E Foming P.bess
5.lmDrcve
Wall & roof meshing S forming is he longest sub process of draw point consfuction It il can be rcduced the mean of duration olwall & rool meshing & fonning, we €n gel dmw point constuclion complele faster. Based on analvsis result,lhe overbreak at nose bumperand draw point area make wall& root meshing & fonning out olconkol. Forming is on; ol the main tasks olwallE toofwhich can stabilize and rcduce lhe duralion of wall & roof meshing & foming
For the turthoranalysis, itwillbe used a Pugh matrix to selecl he best solution lor each ploblem As decision criteria. we willuse crileria as shovin in table9.
Kev Oiterie Rating Cost
J.J€€d additional caplal co6t
Need additional operatbnal c6t 9
Humdr Resoftte
N€ed addilional narDower
Need rglaEd tr.inin8 3
Organization fit
MamFe[rerl recomnEndB the Bolution 3 9aff reconunndo th colution
Soldior cute smethhg that is not a cole furEtion 9
€hfion ha8 an on gpitg cod rductbn b€nefit 9
Soldion (ut3 the duration of proceso 9
Tabl. 9. D.tl*,] Critotta
l . L o w 2 - lroderat 3 - Highe6i
F€um 23. Ptendlrn Vl$N Oraw point
. ' , 1
FlrrtSolutlon,As lsCondltlon(0oNothtng)
Cunonty, over break at noso (8) and draw point area (A) cause out ot control vadalion In wa & rool moshlng & fomlng process. 8es€d on control chad in Figure .17,
here js lncreasing lrend of completion lim€ ln wall & ool meshing A toming staded on June when work on draw point 69 because ot rcquiEmenl offull concrote at nos€ (D). 8efor6 Juno, th6 noss concrete as shown in picture 23.
It ls shown in Figure 17 that ths completjon timo of wall & roof up and down consecutvely. ll indic€ted the cunont situaton hat allsr sot up ho new fomlng lor a draw polnt, it will b€ used for nert draw Doinl wtrh n0 no€d s6t up tlm6 so lhg compls on tm€ fastor So, one fomlng sel wlll be used 2-3 mgs. The set up actlvity ls mstly and tlme mnsumable. There are 3 type of forming: wall & roof toming (A): nose bumper foming (B); and 1 meler wall (C). Basically. the conslructjon wi be startod with wafi & roof then nose bumpor, Aner the noso bumper m€shing & hming fnish6d, then continue with pou ng concr€le.
Sometime, 1 met€r wall will bs constructed afrer there ar6 2"3 draw point fnished wall & rool poudng concrelg in the same panel.
Figur€ 24. &.ls Fo{lning Woll F4!e 27. Lab.. CGt Cdipatis..r
Socond Solutlon, Frb.ical. Motll Formlng
Eecaus€ ot the s€mo linal op€ning design of dralv poinl, here is opportunity to reuse lormrng lnalenal more than 3limes. Metalfonning is best praclice lo make teuse forming Metal folrning is used chee added strength is rcq0ired orwhere lhe consfucton willbe duplicated at anoher location Melallorns are more erpensive. but lhey may b€ nore eonomical than wooden loms il hey can be used ofren enough. lt only can be used ifthe area perfect ddlled and blasted (no lighi and no over bl€ak)'
tt will be needed to fabdcale metal lorms for 3 typ€ ol fonning Ey reusing the fonnng' we can @duce lime and cost also. Tlere is an intemal hbticalor that can supply mehl forns for d€"v point construc{on' It will neod additional capital cosl for fabdcating this metal forms But it will need special equipmenl l0r handling these loms because of they are heavy weight.
FiouE 25 Mei.l Foming Applied h H..<ld!on i'lin€ Frgu6 26. lr.duld Wo.d Fo.nr.g Apd..b.
Thi d Solutlon, Modultrwood Formlng
Curently lhere isa lololcompanies produce modularforming forwall liey offer a vafiety ot syslems lo enable us lo choose the mosl emnomical. One of vendot (PERI)daims hat through he use ol heir plalfom sFtem, amund 450/6 less lime is required under partcular conditons- Matedal torning usng highor quality gidor, so it can reduce hs number of girder rcqui.ed per square melet Th€ oher savng time is in the simple ofapplication. Tie saving time makes lower labor cosl By number ol times used. lhe mateial cost c€n be soread ovel the numbef of monhs lor which he fomwor{ is used
Iabro 10. Compadsn Modular vs TEditional
24 l 7 1 8 59
TaUo 11. Pro3.Coft Ov& &6sk Handllng , tsmatfua Solultons
Pugh lratrlr
By uslng dgclslon cdteda as shown in table 5.I then lt can be comparcd lhre6 altemalive solutions lo got Mlch solullon willmako clnonl poc€ss b€ttor ustng pugh Matdx (ceoEe,2005). By calcutating the weightod sum of poslllves and negatives for each solution, itc€n b€ sel€cted the third solution as the best solulion. The Pugh Malix can be seenlnTable5.4.
TaUe 12. tugh rmhx ot 3 Aitmadv! SotubB for Fomin! A@s
K.y CriLtl.
I
t
1i
:Ev m.. f.nill.r whl {ard to Gduce tim. ol re
:abriete ne n.ral tomin! Re.loc€ u.h rod br N..d ru.e ..piLl tor hbrlol. lhe new neta
irviry tineo..pplrcttlon
rEhha on worl urhS m.r. ,.rv how, n€€d tp..i.
trdllnt,or {t ty.onc.rn
Inh|na on hll.lr modul.l i.tluc. unll 6ri blNed hd. opil.l tor
p!rch8in3 hodul.l
iturnlrlmoon.ppllorlo.
u . n a \ , 1 a . i : r i , r , r ( ,
6,Conlrol
To controlthe implementation ol ths solutjon and to get @ntinuous impovement lhe€ arc some contol methods lhat can be us€d:
A. Full-sc€le lmplonentation resuits
o oata chads and other belorc/aner doclmentation showing hal he realized gains arg in line wilh hs Prciect charter
o Process ConbolPlan
Documonlation and measures prepared for suslainability
Essential documentation of $e impmved process, induding key prccedures and orccess maos
Prcc€durcs to be used 1o monilor pmaess p€rformance and contnued efrecliveness of the solution
Contol charts. capability analysis, and othef data displays showing dnenl pedoflnsncs and vefifying gains
Evidence ol buy-in, shadng and celeb|ating Tsslimonials or documentaton showing lhat:
I The apprcpriate peopl€ havo evaluated and signed ofl on ttl€ daog€s i Ths prccess owner has laken over esponsibility fof managing
conlinuing oPeralions
! Ile proieclwotk has been sha.ed wih he wod area and company al large (using a pro,ecil databas€. bulletin boads, etc.)
Summary of lessons leamed throughoul he ploiect
List of issues/oooortlnalies lhal werc not addressed in flis pojecl (t0 be considered as c€ndidales lor future projecls)
ldentjfication of oppodunilies to use the mehods from his proiecl in oher pqeqs
Plansforcelebratingthehadwo andsuccessfulefiorts o
c .
o
T.Concluslons
SixSigma is today's leading technique tomaximize produclion efficiencl and mainlain controlover eadl stgp in he manaoerial procsss lo achieve better, hsler, and cheaper imptpvemenl. DMAIC methodology is applied to uncovea and solve poblem in draw poinl consflction. lt is defined t€t the problem is a gap ot yeaC,y largel completjon time. Following th€ tedlnhue. rcol caus€ ot the p6blem is idsntlfisd. Sialistic.l snalysls w63 conducled lo validalo .adt slep. At bs end of ho study, ssveral allemative solutons were gensraled and then he b€st solulion is choseo. Alhough six sigma poject in thls study has not completed yet, it is shown hat six sigma is a promising tednique to solve business challengas.
Blbllography
GeoQe, M.t. (2005). ftofe Sh Wa pocka! Todb@k Aeuick Relennce cuide to Neatty tll Tools lot lnprcving Ptcf;ess Qua\ty, Speed, and Conplexily, N€w yo*: Mccraw-Hill.
HsndEdi, C.l (2006). Stat/stjk gx Signa dengan Minitab, yogyakarta:ANDl.
PERI,2008, PERI Handbook 2N8.
Pfzdek, T. (2003a). Iho Sir Sigira Ha.dbook, Mccraw-Hi . Pyzdek, T. (2003b). Iho Sx Signa Prciect ptannet, Mcc.Ew-Hilt.
i u r n a l v l a n a j e m e T e t n o l o !
volum€8Number12009
Pengembangan Pengukuran Daya Saing dengan Metodologi World
Economic Forum UVEF)
untuk Tingkat Propinsi Jawa Barat:
Hasil Pengukuran
dan ldentifikasi Faktor Kunci
owi Lrrso
Csnter for Innovaton, EnbepreneuFhip, and Leade6hip (CIEL)
S€kolah Bisnis dsn Manaiemen (SBM) ' Institut Teknologi Eandung (lTB)
dan
Ketua LP3E Kadin Jawa Earat '
Abstrak
Pengukunn daya sahp suatu nega|a telah Npubt dilakukan oleh behagai pihak. Salah salu pihak ' tersebul adatah Wotld Ecanonic FoMtWtlEF yang nenetbilkan lndeks Deya Saing Gbbel (Global 'Conpaniveness lndex, GCI) dai nlusan negan dm nenogki,lg/|'ya. Peingkat ini sP./ing Ai,dikan oleh suatu n$an unfuk nelkal Nsisirya dm nelakukan Nkail€n,ehaikan di dalan nmghadapt persaingan dunia yang nakin nengglobal. Tulisaa ini nencaba nehgikuti dan nenodifrk.si mglodoiogi WEF untuk dinanfaelkan dalan nonguku daya saing pada hvel wpinsi Sebagai lang,6,h awal.
pada lahun 2006 dilskukdn Nnwkunn daya sakg di Jawa Ba.st dan diidantifikasi fanor kunci yang pedu dipehaiki nurk neningkakan daya saing Jawa Bant. Hasil pengukuan nenyalakan bahwa laklot kunci yang pelu segen dipehaikj adalah pada btulmg Kesehalan dan Pendidikan Dasd.
lnstitusi, dan lnlradult.[. Unluk neningl€kan dafa saing Jawa Banl, diusulkan WyafuWyan pehaikan diketigaUdanglercebtJt. Babenpa prognn diantanrya adalah pendidikan GRAnS sampa' Iingkal sekolah manongah atas, p/oOraft *esehalan bagiWnila hamil,lbu menyusui, Bai, danAnak di bawah lina tahln (Ptugnn WBA), efisiensi bink|asj dan ,€,,'rbatuntasan l<oFJN dan kolusi, dan ped.a ikm inhastnrRw j 8l an aya, pel abuhan, b and ar ud a 6, dan teb kunun ika si.
Kata kunci: daya saing, nelodologiWEE faclotkunci, Jawa Bant 6 r
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