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Department of Agricultural Engineering ;.セ セ f。cijセy of AjjriculturaltN」セョッャッァケ Unlvtr.lltas GlldjahMads

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BLLLNォNセL August

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The International Symposium on

Agricultural and 8iosystem Engineering

BOOK OF ABSTRACTS

"Improving The Role of Agricultural and Biosystem Engineering Toward Food & Energy Self-sufficiency and Sustainable Agriculture"

Supported by: Sponsored by:

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ISB:\.

978-602-14315-0-4

Editor:

Lilik SuuaTso

\luniningnun

Rc"ic\\crs:

Prof Dr, Sakae ShihusaIVa(Tokyo Uni versit y ofAgricul [lire andTeehnology, Jap"n)

Prof. Dr. Sumio Kawano (Kagoshima CnivcrsilY. Japan)

Prof: Dongil Chang. Ph.D. (Chungnam セ。ャゥッョ。ャ Uni\"ersity. Korea)

Associate Professor Taka:.hi Okayasu. Ph.D. (KYliShu Uni\er;;iIY)

Prt,)f. Vinod Jindal. Ph.D. (Visilling Profcs:l>or..\1ahidol Uni\crsit)'.Thllil::md)

Prof. lk Sahid SusanTo(L:niH:rsimsGadjah Marla, lndonc:.ia)

Prof. Dr. Budi Rahardju (Unhersitas G:ldjah ;,,'Iada, Indonesia)

pイッ」サG・、ゥョァセ

The Inlcnl:llional Symposiulll Oil Agricullural and lJiosystcm [ngilll'('ring 2013

ThclIle : Improving The Role of Agricultural and l3iosystclll Engineering Toward Food and Em:rgy Self-sul"ticiency and Su:.:tainable Agriculture:

Published 「セG :

Jurusan Tcknik PenanianFukulJasTcknologi Penanian Unin:rsitas G<ldjah i\lada

JI. Flom :'\0.1 Bulaksumur. Yogyakana. IndonC'sia 55281

Telephant' fa:-- :-62-274-5635-12

£-moil: [email protected],id

Copyright law protected

])on'l to qUOle, reproduce and translate :':0111e or all of these boob without the permission of the Pllbli:.:hcr

First Edition: 2013

(3)

The Illternational Symposium on AClltullural orHI B,osystem ei|セゥャ|セセGャョァ (ISABE) 2013

LIST OF CO'<TE'<T

Foreword .

Li!lt ofCOntCnt .

MAIN PAI'EH.

. II

Inlonn:uiz:ltion Agricuhure in Japan Author: Tnkashi Okayasu

SUB-TII[.\I[: POSTH...\IH/[ST.--\1\'1) FOOO [i'"GIi\EEnL'\'G

\'1-1

dセGウゥァョ ofThcnnal Conductidty Apparatus Base on Tran::.iC'nt-statc Radial Cylindcr A-I Method

Authors: Bal11bang Dwi Argo, \v,'ahYlInallto A. Nugroho. VOl'S B. Pristya and

Ubaidillah

Effect Extraction \'1cthod of Composilion Fatt)' Acid Dieng Carica Seed" Oil i|Mセ

(Carica candamarcensisHOK)as Edible Oil

Authors: Dcwi Larasati, Haslil1r1 andBUl1lbclllg KUl1arto

Adsorption Equilibrium Sntdies of Hio-Based Butanol from Fennelllation Broth by A-3

Immobilized of PotatO Starch Sorbenl Authors: Dina Wahyu, Tsair-Wang Chung

Q\1ality rセGカェ・キ oCThr("c Types ofmセ|ャQァッ・ウエ」」ョ Using Ultmsonic Wavc" /\--1

Authors: EllllllY Dannawmi, Amir Hnlllzah

Intluence of Air Flow Rate on DI)'ing Characterislics ofClo\c .-\-5

Authors: Jun:lcdi Muhidong, lnge Scorpi Tulliza (lnd Ishak

pセイヲッイャQQ。ョイNZ・ Tesl of EC]LlipmciIl And N|セ c|セG hines Of BClI1[IIW !,vliIIer for A-n

Mcchanization Technology DC\'clopmC'nt Of Hanana ャGイッ」セウウゥョァ In South

Kalimaman Provine..:

(4)

Til<.> Imernatlonalsケイョーッセゥオュ on Agritultur;; andbャッセケウエ・ュ Engineennll(rSAB::) 2013

Continuous Dehumi di tita tiOIl of Organic Sorbent Powder ill Two Connc\:ted A-7 Fluidizcd Beds with A Cooling and A Heating Pipe

J\uthors :Sukmawaty,Syahrul

Method of Waxing on Quulily and Shelf-life ofSemi-Clltting :Vlangosteen in Low A-S

TempcffilUre Stomgc

Authors: Usman ,\hmad. bnmy. Dannuwati. and :\Iur Ruhma Rcfilia

AcithtiedSodiulll ChloriteTreatments for Improving Shelf-life of Unripe Shredded A-9

Papaya

Authors: Vinod K. Jindal. PompailinSimatand NipOli Chmnchan

Fighting for Malnutrition in Indonesiaby Production of Anificial Rice Based on ..-\-10

ArrowRoot and Cassava with Addition of Cowpea

Authors Danial Fatchllrmhman, \Venny Bekti Sunarharum, Anugerah Dany

I'riyal1lo,Fathy Fasial Bal1£tnllll

Produci Featun:sandCOSlAnalysis

or

fl.10CAS (ModIfiedCassa\'aSt.areh) Based A-II

Bakel)'PrOOllC!:;

Authors: Darmawan Ari Nugroho. Ibnu WahidFA

Fuel Feeding Rate ControllingBase on tlKTemperatureDistributioll Simulation 011 /\-12

Rosella Pod (Hibiscll.\' sabd(lI"!Ur/ finn) DI)'illg Prol'css

AUlhors: Dyuh Wulandani. Leopold Oscnr ;-iclwan. IMad..: Dewa Sllbrata

Idelllification ofdセエ・ョョゥョ。ャャ| Factors in Processing and Technology: A Case Study A-13

ofFruit ProcessingIndustries (Fl'ls) in Indonesia

Author: Ida Bagus Suryaningrat

ProfileッヲtィセG Pe<ll1lll Moistun: ContelH During Deep Bcd Drying

Authors: Ans<lr, Sirajllddin,Widhiantari

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(5)

Theャョャ・ュ。ャGHャョセ SymposIum onAgri'll!llJr011o1ndSoosyslem Eniョ・セイゥョァ (lSA6Ejl013

-Effect LindakCacao Fntir Macurity(Theobroma Cacao F.)wnh High Level of A-15

Polyphcnolsas Amioxidanls

Au\hors :Jumriah Lrll1gkong and ivlulyrni Iv!. Thahir

Studyof Active Packaging System byUsing Ethylene Adsorber10Prolong the A-16

StOt1Igo: LiteofAvocndo Fntits(P('rseaolllericlIJw Miff)

Author: Lilik Pujantoro. Andi :-.l'urfaid.1.h and Yadi Haryadi

The Dc\、ッーュセエQi of Technology Bundle in Packaging of Export Quality of A-17

\ ャ。ャャァッセエ・・ョウG T ranspomn ion

Authors: Ni Luh Yulial1ti and Gcdc Arda

Synthesis ofChitos<ln·Ag+<IS Anlibackrifll l'vbterial 1\-18

Authors: Shinta Rosalia Dcwi.Sri Juari Santosa and Dwi Sis\\anw

Developmcnt of Collee ャゥ」。ョセ Calfeine Extraction using PressurenndTempcr:.Hurc A- [9

Controllable ReactOr

Author: Sukrisno WidyotOlllO

Optimiz:llion ofThc High Refined C..--lIulosc Process Production frol11lhc Sago A-20

Fiber\V,lsleby j\ Ddigniticmion pイッ」セGウウ Involving Nitric Acid. Sodium hydroxid-:

and Hydrogen peroxideasThe Dcligniljcming Agent

Author: Suprmno

Sl!H-T1IE:\IE: L\'ERGY ANO AGRICUI.TURAL GiZ|ciセery

Technical Allalysis and Performance Test of A Small Scale Hanana Milling

t>.lachine

,\uthors : ;\dc M Krnll1:1clibrala,Totok j-krwnntoand 130yRic:lI'c!o

(6)

The International Symposium on Agricultural and Boosys:em :nginecrmg (.SABE) 2013

Oesign of t-.lcnsurcmen! System \\'aler Comen! in Pressurized Chamber withollt B-2

Disturbing the Process

Authors: Anang L.'1striytanto. Sudjito S . Roedy Sand SUlllardi

DC50ign of Farm Road Construction at the Tel1iary Plot of Paddy Field B-3

Authors: Aso:p S:lp<..'i. Erizal. Tatang SUlllarna

Acrodynamics Properties of Castor Bcan and It's Application for Blower Syslem at 13-4

Ricinus CaSlOr Bean Ilulling Machin\:

Authors: Cahyawan C:tlllr Edi \'brg:llla, Rahmat Sahani. and Baklruddin

The EtTectofSugarcanc Liller Compost toSoil Physical r-,..lechanical Properties and 13-5

Ramon Sugarcane Perfonnancc

Authors: Iqbal. TinekC' Mandang.E. :"'amaken Semhiring, セiNaN Chozin

Tillage CharUl:t\.'rblics of Rotavators in F3ml:l.nd Conditioll of Korea H-u

Authors: Dae-Cheol Kim, Ju-Seok"\lam. t\lyoung-Ho Kim and Dae-Chun Kim

Feasibility Alwlysis of Palm Oil \1il1 Efl1ucnt lJtilizalion as A Source of Electrical 8-7

Energy

Authors: Supriha\in, E. Gumbira-Sa'id, O. SlIpnlllo. D,O. Suryanto and SMonu

Potentia I Product iOIl of i\griculturnl 13 yprodl.1cls :lnd The Economic Feasibi lily of B-8

Rice Straw as /\ Fecdstock for Bioelhanol in Korea

Authors: Yconghw3n Bac, Kidong Park, Keul11 Joo Park

Snldy on Oil Palm Fresh Fwit BUllch Bruise in I bnc:::.ling and Transpol1mion as A 8-9

Function (0Quali(y

Authors: Andreas \\'ah)'\l Krisdiano and Lilik SUliarso

Application of KUBOTA DC-uOfor PaddyWei Field Han'esling B-IO

(7)

l

イィセ iョZセイョ。エゥッョ[ILG Symposium un AiricuエオイセQ and Biosys(em Eng,neenog (I$A:I:!1013

Engineering Charactcristics and POIenlial Energy ofDil Palm Fntit Bunches B-II

Harvesting

Authors: Wawnn HCnll.:lWan. Dcsrial. Muhanumtd Iqbal Nazamuddin

Design of Iron Whc<.:1 of A Light Tractor for Crop l\laintenancc in L;nconsolid::ucd B-12

Paddy Field

Authors: !':'adilC P.A,S, l. W. ASllka. D, \1, SlIbnlta and A. Azis

Design ::mdPerformance Test oft\ktnl Kiln Venturi Drum Typefor Coconut Shell H-I}

Carbonization

Authors: S. Endah Agustina nnd Nllrul Hasanah

Design of Sugarcane(Sacc:/wl"l/m Officiiml"lllllL)CUlling :'vlachine for Seedling H-l-l

Pr..:paration with Bud-chip \Iethod

Authors: Siswoyo Soekamo, Luqman Budi Seti.:lwanandAskin

The Clay (omCn! Effect on the Formation of Shallow t\lolc Drainage: An 13-15

Experimental Study

Authors: Siti Suhary,:ltlill. 13nl1lbang Pllrwalltalla. Abdul Ro.mq and Nluhjidin

\1awardi

The Usageof Shaft to Shaft Transmission for ROli\l"YSaw Crusher for Paddy Stl"Uw 8-16

Authors: Tri Tlingglll, Tamaria Panggabcan and Hildal\gustina

Functional Intcr.lction between Pressure- and SoilSinkage for TCITl'strial Robotic 13-17

|Gセィゥ」ャ・ウ

Author: Lenny S:lulia

Design A Mechanical Device for セエョォゥョァ Briquettes 8-18

Authors: Wiludjeng Tris.:lsiwi. AgllS t-.largiwiY3mo. Petru" Hary Tjahja SOl'dlbyo

A Method of Workload Application fur Tractortイ。ャ|ウュゥセウゥッョ 8-19

Authors: Su (hul Kim,Yoo Joo Kim. SCling lae Park

(8)

The IntErnallOnal Sympos,urn on Agricultural ond B,osYltemeョセゥョ・・イゥイ・ !ISAB:) 2013

SCB-TIIL\IE: LA:'\'U A:\'D W.-\TEn IlESOCnCES J:::'\'Gl:\'EERI.'IG

Waler Conservation Concern inSuwk:lrta, ャョ、ッョNNZセェ。 C-l

Author: Agus Suyamo

Influcnceof Increasing Rain dueto Climatecャゥ。ャャセ」ッョ Forest Slope Stability in Aso C-.::'

City. Kumamoto Pr..:lecturc.J:IP:lIl

Authors: Aril Aditian andT..:tsuya Kubota

Evaluation on Land Usc towardthe Environment SUpp0l1 ill POllorogoRegency C-3

Authors: I3nl11bang Rnhadi,TUllggul Sutnn Haji,Euis Elili Nurlelilland i\lovin

Lusiana

The Potential andConstraint!>of Agricultural EnginecringApplication inTidal C-4

Lowlands SUPPOl1 Sustainable Food Crops Farming lA Cas\,.' Study of Form..:r

tイZャャャセュゥァイ。エゥッョ Areaof Banyuasin Regency, South Sum:ltra Province. Indonesia)

Authors: Husin, Robiyanto H. Susanto. Henyamin Lakitan.Ardiyan Saptawan and

Yl. Yazid

The EffcL·\ ofElcvaliol1 Oil PlllllliJ1gC<lknclerill \\'i;st Timor uセゥャ|ァ Agriculluml C-5

r。ゥャャAセQQQ Inde.\ (ARI) tvlclhods

Authors: Jonathan E.Koehuall andJuliScty:mto

Ana! ysis of Soi I Erosion011 The Catchment Ar.:a of Musi Hydro-POWc'r Plan!, C-f)

Bellgkulu Province

Authors: Khairul Amri. A. Halim,:'\!gudiamoro :'Ind1\1. FaiLBare-hia

Distribution and Char<l<.:teri:'lic of Landslide'i in Vokanie- \ lountains of West Java. C-7

iャャ、ッョ」セゥ。

Authors: Ngadisih. Ryuichi Yatabc. t'elr.L P. I3handary and Ranjan K. Dahal

(9)

rheIntc,nat,onal SVmp<Hium on Ag,iluJturJI Jnd Biosy,lemセョァゥョ・HGLゥョャャ (ISABE)2013

S...dimcnt Relmed Disasters Induced by Imcnsc Precipitation During I lurricane cセs

Events in :\IllC\'O Leon, mセGクゥ」ッN

Auchors; Luura Sanchez-Cascilla, Tetsuya Kubota. Israel Cnnw-Silva and Hasna\\ ir

Prediction of Water Balance10Detennine Growing Period ofsャャァ。イセG。ャQ・ C-9

(Saccharum OfficiI/arumL.)In Kalasan. Sit-man

aオエィッセ : K:unelia Dwi Jayanti,iセオイオ Sudira and Bambang I-Iendro Sunarmimo

EtTeclofSilica Extr:tClcd from Sugar Cane Bagasse and Compo:.t to Soil's Physical C-10

Properties Under Rninfall Simulator

Authors: ,\1usthofn Lmfi, Hafidz YuswandhilOUand Wahyun::uuo Agung:\l

Detenn;n;ng The Rclat;onships 8clwecn Soil Elecmeal CondnCli,ily nnd Some Soil C-II

Properties Measured by The Real-Time Soil Sensor (RTSS)

Author:. : Ni Nyoman Slllastri, Sakae Shibusflwa find f....I;l:.akazll Kodnira

lmpkmenlingAMinimum Em ironmcntal Flow nnd Its Effectson Wafer

Managemelltnt Sckmnpung IrrigatiollArea

Authors: Endro Pr3scryo Wnhono. D. Legonoand!stinrtolind 13.

C-11

C(Jl1stmim and Accclcnning Factors of Hydrology aile! \Yakr Resources in C-13

Monsoon rセァゥッャQ for The Devclopment ofIrrigated Paddy Lal\d:A C:lse Snldy ,·n

!.lnli Island

Author: S::lhidSUSal1lO

Dcvdopmellt of !:lio-System Management for Land and\V<Iter Conservat ion of ("-14

Watershed

AUlhor: Snhid Susanro

(10)

Th.. JII:erll"tiollaf Symp:llil,lm 011 Agri(l,lflllraJ JOe' Biosysr",m rlleioeermg (JSMlE)セoャ}

Prospec!i\'cs of Water Table Management on Reclaimed Tidal Lowl3nds with C-15

SubsurJilcc Drainage Systems (Case Srudy of Banyll Urip of Banyl.lasin, South

Sumatera Province. Indonesia)

Authors' Erry Koriyami. Robiyall1o H. Susanto. Dedi Setiablldidaya.セァャャ、ゥ。ャャャッイッ

and F.X. Suryadi

Load Force of Water in Tuocsall Irrigation Waler-Scooped Wheel

Authors: .\Johanllnad Agita Tjandra and Apri Roma Habeahan

Organic Y1ulching for Soil Water Conservation

Author: :'\1uhjidin Mawardi

I'erfonnnncc of Rotary Sprinkler on The 01)' Land

Author: Silli ;-"f ur Fl1ridah. Daniel Useng. ,\lahmud Aehmad. Aryuni

Soil Const'rvation sエイセャャャGァケ for Potentially Landslide Areas in Gilltllllg

Sllh-Watershed. Celllral Java Province. Indonesia

/\uthors: Nur Airnlll Pulungfln. Chandnf SCly:man, So:kar Jatiningl)'as, Jllnun Sanohadi

SUB-THEME OJ: CNVIR01\'i\1ENTAL Ei\CI1\'EEnl.\'C;

Water Quality (0005 and COD) Mapping of West Tanull Calla I as \\Imer

R\,.'sourees JorJrrigalion

Awhors : MouJi Dc Rizka Dewantoro and Yan El J{izal U.D.

C-16

C-17

C-IS

C-19

D-I

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CllllfilCICrislic of Friction and Shading Rate for AJ-Screl'n Curtain 0-2

Authors: Wonsi" Choi, Sunmi Choi. Kyungran Kim. Changju Lee. Jacyoung !3yun. undSungyoung Park, and Daeyoung Park

(11)

Tne InternJI onal Sympo,:um On Agritu.\UfJI ,,00 B,osystemセョァゥョ・・ヲャャャX (ISABE) 2013

Utilization of Cassava Ped as Feed by Fcrmenwtiotl (Z,'1"O \Vast(' Application in D-3

Mocnr IndllStly)

Authors: Andrew Setinwan. Gcnsi Ginting. Sukatiningsih. Achmad Subagio

Ulilization of Tofu Liquid WasH: as Growing \lC'dia lor Hair Wom1(TI/bifex sp.)10 D--t

Reduce Environmental Pollution

AllIhors : Arief Muammnr, Aditya \'Iahendra, Astin R. Safitri

Cultivation ofChlol"ello5/). ill Tofu Processing W:lstcwater Using Raceway 0-5

Recirculated PondIlioreactor

Authors: WahyunantoA. t\'ugroho. r..'lustofa Lutti

Effect ofTransicni Organic LOJd f1ucnlation using Cassava |v。セエ・ Water on D-6

Anaerobic Hybrid Reactor

Authors: Yllsroll Sugi<"lrlo. Pratin Kulbv:lllijayn

Reduction of (vlctal t-.lercury Concentration by The Plant's \·131a Lele(A::olla

pinllOIaR. H,..) lor Irrigation Waler

Amhors: Rllsnam. ,\smi\\arti and ;"laid:lr Pratomo

SUB-TIIEMEIh: 13I0PIIYSICSEi\GI!\I::ERI1\G

D-7

Inoculation of Uromyel:ldium Teppcrinnum Causes Gall Rust Disease in Various 0-8

ProvenmlCI,.'::' Sengon(Fafca/(l,.ia mofllcc{/I/(I(f\liq.)

Authurs: j\ricf t-.tu3mmar, Gila i\lcidiana. Filria R. RatmacJllnti. Sili H.f'.:urrohm:1h

and Diah Rachmaw.:ui

Spectral Imaging Technology for Quality r.:valtmtion of Agricultural イ|Gャ。ャ・イゥ。ャセ D-9

AlIlhor: Byoung-Kwan Cho

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TheQBH」イョセエゥッBji SYln ..セウゥオュ onAericullUfJI,mcBiOWIlemHョfLャiQ」」イゥョセ lISABE)20 1J

.

Phenotypic Characters Analysis of Cross Melon(Cucumis metaL.) Tacapn

Cuhi\'ar

Authors: Gallies Riza Arislya ,Andi"a Tripranl\ldya Ollggo. Budi Sctiadi D;ll)'otlO

Yield Function .'Vlodel of Vegetable Crops

Author!'.: Ralunan Ari[ Rahmad Hari I>umomo and HildaAgustina

Jelent!fic,ltioll of:"Jilrogcll Sw tliS in BmssicajUII("(:'{/L. Usi 11gCoIor MomCllt,

G LCMand 13ackpropagarion Ncural Network

Authors: [ Putu Gede I3udisanjaya.I. K.G. Dilflna Pulra andI セケッャャャ。ョ Satya

Kumara

D-IO

D-II

0-1]

Rcal Time [)cto:ctionof Pin Hole on Worm-eaten Chestnut with 2CCD Camera 0-13

Authors: Soo Hyun Park,$00 Hee Lee. Seong t\lin Kim and Sang Ha Koh

Growth and Liglll Utilization EfficictKy of LCtltu:e as Affected by Frcquency and 0-1-1

DutyRatio of LED Illumination

Authors: JacSu Lco..: and Yong Hycoll Kim

i\ \Iodel-Based Approach for Extracting Viscoelastic Propenies from Ultrasound D-15

McasuretllCnls

Authors: Sri \Vnluyo.YaGlIO. (j;lJ)gYao"me!Jinglu T(Ul

Energy and{ュゥAGNウゥッョセ on LClnuru(Sardinellasp.) Fishing in Bali Stmit 0-16

AUlhors; Miftahul Choiron, \Vahyu Supanono.Ag. Suryandono

Scale·upofProduction Systcm Prior to COlllmcn.:ial mッセウ lSphagfl/l1ll sfJ-) Rooftop 0-17

Greeningセャ。エHGイゥhj

Authors: Mirwan Cshada, WHdan Fnjar I3achtinr. Ario \\'ic<!ksol1o.llaruhiko

MUr:lse

The RoJ.: ofSct'd Producer in Mainwining Corn Production Susl<linabilily

Alllhors: \\'inda Amilia. Didik Pumadi. Hcnry Yuliando

Xt

(13)

Theiョャ・イョSエッッョセQ Symposium en Agritvl(UrJI and B,owstem Engineeril\& (ISAB£) 2013

5 ri

Non DCSInH:live Measurcment of C:Hcchin ComelH ill Gambir(Unctlritl gambir 0-19

Roxb) Using NIR Spectroscopy

AUlhors: Andasuryani, Y.A. Purwanto. I.\\'.Budiaslra, K. Syamsll and Lady

C.E.Lengkey

NonDestructivc Prediction or Ripc-St.:lge Qualityof .\1:lt1go FrtlitCV 'UL'dvng dMセHj

Gmeu'stored in Low Temperature byL\'IRSpeclroscoPY

Authors: Yohanes ATis Purwanto, Putri Wulandari Zainal, SUlrisno,L'SIll:lll

Ahmad. Yoshio Makino, Sciichi 0:.hit3, Yoshinori Kawagoc and Shinichi Kuroki

SUIl-TI-IL\IE : SYST£i\1 AI\D J\IAN.-\GE:'\IENT

Production Oplimization ofCmde Palm Oil al PTPK VII Unll Usaha l3etung by E-l

Csing Goal Programming Mcthod

Authors: Ra11l11"d Hari PUl'1l01110, En doArgo Kll11COroand |セ[ャQゥウ Scpli:1I1

Application of Analytical Hierarchy Process in Selection ofl-krbal Product {Mセ

Author:.: luh PUlll \\"rasimi. DC\\'a Ayui\nom Yuarini_ Ida Ayu i\lahalllla

Tuning",{ and 1Made Anom Sutrisna Wijaya

Subak Devcloplllcml'rograms to lmpkment Agro-[colOurism E-3

Authors: SumiY.:lti_ Wayan Windia. [ Wayan Tikuand Ni ;':yoillan Sulnstri

A Sll1dy on Delenninant Factor1\fTcr.:1ing pcGイヲッョョ。ョ」セ of Palm Oil Productivity in E-t Pc1alnwan Regency, Riau Province, Indonesia

Authors: \Vidya Alwarrilziand PUlll [langga

Oesignof Wireless Measurcrncnl of Soil Gases nnd Soil Environmcnl Based on eセU

Programmable Systcm-oll-Chip lPSOC)

Authors: AriefSudar1ll3ji. Akio Kiwg:lwa and Junichi t\killl

(14)

Tile Internil:lOrlillsケューosiセュ onaァョ」オャエGセイji i1ndBrnystem Engmeennl:1s/.SEj 2013

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Development of UV and Violet Illumination SystC'm with High Power LED for [-6

Fluon.:sccncC' lm.:lging

Authors: Ho)'oung Lee, Moon S. Kim. Soo HYUll Park and Sung Ha :.Ioh

Development or Real Time Change Point Analysis lorFidd En\"ironmcrHal

Informal ion inAgriculture

Authors: Andri Prim.:! Nugroho. Takashi Okrlyasu. tvluneshi MilsuOka. Eiji Inoue.

Yasumaru Hirai and Lilik SUliurso

Simphfi,-d Aigmilhm "" D,ily Time SlOp Sin",I,"ion ofSl3nd,lono PV SjSlcm E-S

Using Po:ak Sun HOllr Data

Authors: Dimas FimHlllda AI Rila and Sycd Ihl5ham-ul Hag Gilani

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Image Processing Method for Counting of fish Eggs and Fish Juveniles

!\uthors: ! Wayan ASlika and F:ljartvlulyailli

Institutional Culturc in bイ。ョエ。セ Watcrshed Management

Author :セオァイッィッ Tri Waskitho

£·9

C· I 0

Modeling and Simulation of Oil Palm I'I:lIll<lIion Producti\ilyBas;:don Land E-I r

Quality and Climalc using Artificial j\'eural Ndwork

Author: HCn11antoro

Application ofFuuyqオ。ョエゥヲゥ」セャャゥッョ Theory I in The Criteria Selection of Gate £-12

Opermioll in Hlawong Irrigation Syslem. I:bntul, Yogy<lk:!I1<l

Alllhors : Mllrtiningrurn. i\'kga I'rimarini and Saiful Rochdyallio

Kinelic of Drying of Sliced Tunneric with r-.lodificd Direct Sun Drying by

Employing Gro.:enhouse Effect

Authors: Hanim Z. I\manah. Sikia Jnsanl'vluli:1\\'ati and Sri Raha)oe

XIII

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The International Symposium on Agricultural and Biosystem Engineering (ISABE) 2013

Non Destructive Prediction of Ripe-Stage Quality of Mango Fruit Cv

'Gedong Gillen' Stored in Low Temperature

by

NIR Spectroscopy

yッィセャャQ・ウ Aris Punv<lntolJ Putri Wuland:.1ri Z<lillalJ Sutrisno· 5111:111 Ahmadi Yoshio mオォゥョッセ Sciichi oウィゥエ。セ Yoshinori Kawagoe5and Shinichi Kuroki6

IDepartment of Mechanicaland Biosystel1l Engineering, BogorAgricultural University Email: arispurw:l1lto0.ipb.ac.id

ャc・ョエセイ forTropical HorticultureStudies, l3ogor Agricultural L:nivcrsity JFacully of Agro-industrial Technology. Dharma Andalas University セgイ。、オ。エ・ School of Agriculwra[ and Life Sciences. The University of Tokyo

5College of13iorcsource Sciences, Niholl University bGraduate School of Agricultural Science. Kobe University

Abstract

This study demonstrates the use NIR spectroscopy to prediL't the internal アオ。ャゥエセ

parameter in mango fruil non 、・ウエイオ」エゥカ」ャセN Soluble solids coment (SSC). pH and firmness of mango fruits cv:Gedong Gincu') \\ere examined by NIR reflectance tolind out factors 10 be

considered in online detection. The wnvelength range of 1000-2400 11m was selected and data pre-processing was used 10 enhance エィセ precision of calibration models based all partial least square (PLS).The coefficient of correlation (r) of SSe. pH and firmness were 0.756. 0.94 and 0.89. and the stnndard error of prediction (SEP) ||G・イ・RNQPセッbイゥクN 0.157 and 0.63 kgf. respectively. It is concluded that by using the NIR measurement system. in the appropriale spectral range. it is possible to nondestructively predict the ripe-slage quality of mango ft'uit i.e. SSe. pi I and firmness.

Ke.nrords: fl/al1Ko jmif, NiR specfl"OsC'Opy. inremal qualify. l1ondesfrucfil'e predicfion. ripe-s/age qlfalify

Introduction

Gcdong Gincu is one of the exotic cultivar mango fruit (.Hcmgl{em hu!ica L.) in Indoncsia due to ils sweet laSle. medium siL.e and beauly orange color. Mango tj'uit an;' usually harvested at the hard green stage (unripe) \\hen they are physiologically mature but before the onset of (he climacteric rise (Lakshminarayana el al.. 1970). Mature hard green mango fruit auain a superior eating quality \\ hen ripe \\ hile immature ones do not (MedlicoH et aI., 1988). After harvesting, the hard green mango fruits nre usually directly rransponed 10 market. in order to delay the ripening process during long-distance transportation. hard green mango fruits are stored at low temperaHlre condition. Monitoring of quality parametcr during this hi'lndling step \\ill be very imponanl.

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The International SympoSium 00 Agricultural.md Biosystem Engineering lISAB::} 2013

whereby it 3nalyse sample rapidly (a fc\\ seconds per sample) and no need sample preparation (Pissard et al .. 2012: Saleh eta!" 2012). In addition. it is a chemical·free: (limited to the I"eagents required

lor

reference analyses and no waste is produced (Pissard et al.. 2012; Van

el

aI., 2009).and can be carried out on-line(Saleh eta!" 2012).

The lise of NJR spectroscopy 10 measure internal qualil) attributes of fruits produce has been investigated extensively during the last decade. Use ofN1R spectroscopy in fruit is receiving extensive research efTorl. and commercial applications are in the earl) stage of implement8lion(Abbolt el al .. 1997: Armstrong. 1000), The abilit) 10 イ。ーゥ、ャセ 'scan' fruil on-line, and then son it. means that if a given characteristic can be accuratel) measured. fruit can be segregated inlO distinct classes and either handled or marketed In a different manner.

The variety of sHldied fi'uit is large. ranging from apple (Clark et al.. 1003: McGlone et al.. 2005: Alamar et al.. 2007), kiwi fhlit (Moghimi et al.. 2010). citrus (Kim et al.. 2004). mango (S,II'anwong er al.. 2003). mandarin (Guthrie et al.. 2005: Gomez et al.. 2006), peach (Carlomagno. et al.. 2004) and pear (Han et aI., 2006). 1\11orc applications and recent developments have been reviewed (Nicolai. 2007). Previous studies havcsho\\n thai f'\[R has the capability to cvaluatt: soluble solids contt:nt (SSC) in ript: mango fruit (cv:Caraboa') (Saranwong et ill.. 2001. 2003). The objeclive oflhis stud) \\as to develop calibration model and prediction orthe intcrnal quality parameter I.e. Soluble solid contcnt. pH and firmness in mango fruit cv. Gedong Gincu during low temperature condition using NIR ウー・」エイッウ」ッーセN

Materials and methods

SaIIIpic Prep.lnlt iOIl

The 153 mango fruits cv. Gedong Gincu uSt'd in this ウエャャ、セ \\ere イ。ョ、ッュャセ divided into t\\O groups of samples: the first group \\as llsed [0 de\elop the calibration models (103 samples) and Ihe other for predicting qualil) and model validation purposes (50 samples).AlIsampleshadbeen harvested fi-om the samc fanner orchad during oneday at commercial maturity or at the level maturity of 80-85 pcrcent.Samplcs of mango fi'uits were stored at tcmperature of

13°C.

This was a simulation condition for long distance tnlllsponation for mango fhlits. Measurement was carried alit evel'Y 2 day5 during pel'iod storage of 22 days. After acquisitionofspectra. SSC was measured lIsing digital Refractrometer. pH was menslired using digital pll meter (0-2-1. HORIBA) and firmness \\as measured using Rheometer model CR-300.

NIR Spectrn Collecting

Spectra of mango fruits \\we collected in the range of 1000-2-100 nm \\Ith an

incremem of 5 I1Il1 using

,

1\11RFlex t\ -500 (Blichi Labortechnik AG. Flawil. S\\ itzcrland) at

roolll temperature 01'25

C.

Spectra

data

were collected by measuring the diffllse reflectance ofsampJes. Operation ortlle instrument and data collection ofNIR spectra were conducted by llsing N1RWare 1.2 softw(lre (Blichi Lab0l1cchnik AG, Flawil. Switzerland).Chcmometric anal)siswas conducted by using NIRCal 5.2 sofh\are (BUehi Labortechnik AG. Flawil. Switzerland).

A large amount of spectral dalais usually obtained from NIR inslrument sand )idd

suseful analytical information (Blanco and Vil1arroya. 2002: Osborne et al.. 1993). Ho\\-ever. the data acquired from NIR spectrometer contains background information and noise besides sample inforlllHtion. In order to obtain reliable. accurate and stable calibration Illodels. it isnecessary topl'c-process spectral data before lTIodeling(Cen Hnd

He.

2007). Spectral pre-pl'occssing techniques arc required 10 remove anyir I'clcvant information induding noise.
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The fntcrn.>tional Symposium on Agricultural and Biosystem Engineering lISABE) 2013

uncertamtles. variability. interaction sand unrecognized fcmures.Dcrcrmining of pre-treatment method 10 develop cl11ibration model NIR depends on material type and CQnlelH to be predicted (Mouazcn ct al.. 2005).

C:llibratioll model

Calibration model was established using PLS algorilhm.Slalistical parameters lIsed 10

c\aluate [he dc\eloped N1R calibration modclwcrc:

1) Bias. i.e .. the a\erage deviation bet\\cen the reference value (xn) and the predicted vallie ()n) of V·Set. It is recommended that Bins should equal to zero(\Villiams and Norris.

1990).

Bias

=

I(x n

-

Yn)

(I)

2) rhestandard errorofcalibrmionset (SEC), i.e., the swndard deviation of the differences bcmeen the reference value (x,,)and the predicted value (y,,) ofC-Set. colTccled for bias.

SEC =

jMG⦅セHxョ

-

Yn -

Bias)' (1)

,\'-1

3) Thestandard errorofvalidalionscl (SEP). i.e .. the standard deviation of the diflhenccs between the reference value (Xl) and theーョZセ、ゥ」エ・、 value (Yu)

orv-scl.

corrected for bias.

SEP =

jnセャ

2:(x n

-

Yn - Bias)"l (3)

4) Coefficient ofcorelation(r) between [he reference value(xrl) and the predicted \·allle (Yo).

r = lHxョMゥBLLIHyョセyョI

JHX'1 XIl )2HYn YIl)2

The l1lodel is considered l1lore lIseful when I' value approaches I. whereby r value is larger titan 0.90, considered as highcorrelation (\Villiams and NOITis. 1990).

5) Coefficient ofdctermination(R2) bel\\een the reference value(XII) and lhe predicted value (l,,)·

G) Coeflicientofvariation(CV); CV in C-Set: CV = SEC X 100

x

CV in V-Set: CV = SEP X 100

.i

(5)

(6)

(7)

A very reliable calibration could be achieved \\hen the value or CV in C-Set \\as lo\\er than 5% and the value orcv in V-Set \\as lower than 10% (l\lltekel al .. 2006).

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The International Symposium on Agrirultural and Biosystem EngillE!ermg (ISABEl2013

Results and discussion

NiH. SpcetnlAnalysis

Referencesdma ofSSe. pH and firmness in sample of mango fruits for calibration set

and validation set are shownon Table l.

Table I. Reference values ofSSe. pH and firmness in mango li"uits

N'

Minimum Maximum Mean SD

SSC(°Bri.x)

Calibralion 103 10.23 21.07 16.55 3.12

Valid1uion 50 10.13 21.07 16.33 J._J'

"

pH

Calibration 103 2.99 <.78 0'<6 3.61

Validation 50 2.99 4.78 0.-15 3.60

Firmness(kgt)

Calibnllio!1 10J 0.26 3.9-1 1.27 1.62

Validation 50 0.28 3.93 1.30 1.57

B_|iオュセイ of samples

Figure I and 2 sho\\ original spectra and normaliLed pre-treatmcntNIRspeclra in mango IhJits. The original one sho\\s that there is a parallel shift of speclra. II occurred iクNセ。オウ・ slXclra data ofNIR did not onI) contain sample information. but also background information as \\ell as noises. Therefore. pre-treatment \\as needed before modelling to get reliable. accurate and stable calibration model (Cen and H. 2007). Spectra data resulted from dilTuse reflectance measurement at solid sHlllple would be lollowed by scattering noise as a result of particle size difference (Chell et al.. 2013). This case \Vas supported by nlanco and Villarroya(2012) who acknowledged that physical propel1ies of solid samples influence spectra of solid samples. Spectra pilllt'l'Il of neat· inli'ared reflectance indicated that wavelength of 1215-1395 11m was CHz. 1450 nm and 1940 11m were water. 1765 nm was CH:? and celulose. and 2252-2400 was carbohydrate.

[image:18.604.75.526.199.355.2]
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The Internation<ll Symposium on Agricultural and Biosystem Engineering (ISABE) 2013

2400

2200

Carbohydrate

1940

O-H 1450

1400

1200

1600

1800

2000

nm

[image:19.601.86.522.92.414.2]

Wavelength, nl11

Figllre 1. Original rel1eCl{\m:e NIR spectra of ll1::lllgo jj'uits

1000

0,2-RefleCtance

1,0

f i..

."

r

".

"CH

2

1215nm

03

0-10 1450nITI

Carbohydrate

2152-2400

11m

22W

2(-))

1WJ

I

CH, 1765

11m

0-1-1

1940

11m

0,6

u u

I

ii;

u

u

0.41

<::

u

'"

02'

I

,

0,0-lWO

[image:19.601.120.515.454.734.2]

Wavelength. 11m

Figure 2. Normalized reflectance IIR speClraormango IruilS

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The International Symposium on Agricultural and S.osyslem Engineering (ISABEj2013

C111ibration model

Calibralion and validation of t\IR speclra \\ere carried OUI to predict SSe. pH and firmness ormango fruils. Calibralion \\as oblained basedon the correlation bel\\een data of NIR reflectance with SSC, pi I and firmness (Table 2). For calibration set. il \\"as obtaint'd that l3ias. SEC. CVand rセ \\ere 0.230. 2.10-1.26.12.72 and 0.571101' SSe. -O.()O-l.. 0.15707. -1.35 and 0.884 for pll, -0.048, 0.63,

38.S5

and 0.787 for tirlllncss. respcctiely. Fat' prediction set. it was obtained lor Bills. SEP. CV and

R1

were 0.260-1.. 2.64867. 16.22 and 0.39 for SSe.-0.0006. 0.17512. 4.87 and 0.87 for pH. 0.009-1. 0.69. 43.84 and 0.75 for firmness.

イ・ウー・」Hゥカ・ャセN The resull showed lhallhc model has a good correlalion. This value \\as good as Mouazcn et <II.. (2005) slaled that calibration model having value ofJ{l bcl\\cen 0.66 and 0.81 indicmed approximate quantitative prediclions. bet\\cen 0.82 and 0.90 \\as considered [0 be a good pred ict ion. and larger than 0.91 revealed exce llent.

SEC and SEP value in [his slUdy has a quite small. This restllt was good since there \\as a small dif1erence bet\\een SEC and SEP values. Good calibration model has a small difference oct\\een SEC and SEP. A large 、ゥュセGイ・ョ」・ is an indicmiol1 ofcalibrmion SCI of nO! a represcntmi\e of validation set (Lammertyn el al.. 2000). When SEP value is larger than t\\O times than SEC. most likely over fitling will occur (I Iruschka. I990). SEI' \,(llues oflhis study were snuliler than SI:::e. which led to prevent the over lining.

[image:20.609.75.526.464.707.2]

Figure J. 4 and 5 show data distribution ofcalibnllion and prediction ofSSC. pH and firmness. The I' value indicates that PlS \\as an appropriate calibration technique (0 e:\tracl spectra \arialian relate to SSe. pH and firmness ormanga fruils. l3ias value al set calibrarion for SSe. pll and firmness of this ウエオ、セ \\ereO.2JO. -0.004 and -0.0-18. respecli\e1). When the evaluation was conducted using new sample at set validation. l3ias value for SSe. pH and firmness were 0.2604.-0.0006 and 0.009-1.. respectively.!t showed that acclIr<H:y ofca\ibration could be ITIClinlained to pt'cdict SSe. pH and firmness.

Table 2. Calibration and validmion ofNIR model for SSC. pH and lirmness

Calibration Validatiun

sse (o13rix)

",

10J i\1 " 50

Bias 0.130 Bias 0.260-1

SEC

2.1O-l26

SEP

2.6-1867

CV(%) 12.12 CV(%) 16.22

R'

0.571

R'

0.39

pH

N'

IOJ

N'

50

Bias -0.004 Bias -0.0006

SEC

0.15707

SEP

0.17512

CV (%) -l.]5 CV(%) 4.87

R'

0.884

R'

0.87

Firmness (kg!)

N'

103

N'

50

Bias -0048 Hias 0.009'

SEC

0.63 SEP 0.69

CV(%) 38.55 CY(%) -l3.8-1

R'

0.787

R'

0.75

N·: number of samples

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The International Symposium on Agricultural and 8iosystem Engineering (ISABE) 2013

"

,

_ 7553

"

ウセ・ "2104 0

sセ_ • 254S7 0 00

ro BGセL "0233

"

- 12 72 0

z

"

0

i

00

00 0

"

8

0

,

0

u 0 0

..

'"

0

..

..

0

00

8

"

0

'! 0 0

0 y.0 €1l8•• 4Qセ

"

8%

i'l'·0.S71

,

" "

..

" "

ro

" "

u・N。セ[ェ ssetoStajoy'...;lACe_11'>00

[image:21.601.212.387.88.263.2]

oc.. :,,,,,,,,n,,,, 8VoIiIl...",n'lIl

Figure 3.\rleasured

sse by

reference method and predicted

sse by

NIR

3 3.2 3,4 3,6 3e 4 4,2 44 46 4,8

o

ッセ

o o o ケN」。セ・BPSWR 1<'_0&64 00

,0

o o 0 o il: =094

[^セ」 •0'5701

sセB • 0 ·7S12

"'., =000

CV _05

'.'

'.'

'.'

z

'.'

Z

"

,

H

,

H 0

'.'

"

;

'"

n

r.1casurcd vH I,y rur"rellc" '''''''Kld

[image:21.601.211.390.315.494.2]

o Call1br<lIion '"I qGOセャゥ、。BoB セBi

Figurc4.Measured pH by retel·ellce method flnd predictcd pi! byNIR

o

(0

o 0

y-0809.· OES2

I<'_C722 o o 0 0

o.

o o

i

o R .oagel

SEC •oセセ

SlOP\PセRセ eッセN -000 CV MSXセU o セ o

d

lil 0

セイッッ

0.'

02 OS 10 14 18 2.1 28 3.0 34 39

l.'"a' ..1><1 hnnne,.{l<gl; byreiCfllf>Ce ...:noc

•••

'.'

•.0

セ 2.6

"

j

"

•••

,

L'

I

'.0 0.'

FigureS.Measured firmness b) reference mcthod 3nd predictcd lirmru:ss by NIR

[image:21.601.210.384.548.725.2]
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The Intern"tional Symposium on Agricultural and Biosystem EngineeringHisabセI 2013

Conclusion

This study has eswblished a technique, based on \'IR spectroscoP) ofth.: fruit. for predicting the ripe-stage qualities i.c. SSe. pH and lirnllless of mango ft'llits C\ Gedong Gincu.

By

means of pani<ll least square (PI.5) regression relationship \\;15 established

betwcen reJkClance spcett'a and

sse,

pH and firmness parnmeters. PLS method I'esultcd good calibrmiol1 results for

sse,

pH and Jirmness prediuioll. The prediucd valuC's \\ere highly correlated with destructively measured values. It was concluded that by using the NI R spectroscop) measurement system. in the appropriate spectral range. it is possible to nondestructivel) predict the SSe. pH and lirmness of mango !i·uit.

Acknowledgement

This \\ork \\as supported b) Bilateral Exchange Program JSPS-DGHE Joilll Rcsc:lrch ProjcCt 1--1-1010 to 31-3-2012(JSPSlr\P/l09596 November20. 2009).

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The International Symposium on Agricultural and Biosystem Engineering (ISABE) 2013

30. Van. II.. W.X. Chang and D.o. Wcn. (2009). Rapid dctcnninalioll or moisture and proteincontel1ts in silver carp surillli by FourierLranslorlll ョc\ャイᄋゥョヲイ。イセ、 (FT-NIR) SpeClrollletr>. Asian Fisheries Science 22: 337·3-15.

Gambar

Table I. Reference values of SSe. pH and firmness in mango li"uits
Figure 2. Normalized reflectanceIIR speClra ormango IruilS
Table 2. Calibration and validmion ofNIR model for SSC. pH and lirmness
Figure 3.
leasured sse by reference method and predicted sse by NIR

Referensi

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