10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 0
10. 0 00 20. 0 00 30. 0 00 t on
10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 20.000.000
10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 0
10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 500.000
10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 50.000
Lampiran 1 : Instrumen Penelitian Data Existing Pabrik Kelapa Sawit Bagian 1. General Data
Nama Pabrik : No. Register :
Tahun Pembangunan : Nilai investasi :
Pemilik :
Pelanggan :
Palm Supplier : Lokasi Pabrik :
Bagian 2. Production Process Data 1. Raw Material
Material Type Quantity (ton)/ year Price/unit (Dollar)
For Production Process 1. Fresh Fruit Bunch 2.
For Wastewater Treatment Plant 1.
2. 3.
2. Product
Products Quantity (ton)/year
1. Palm Oil
2. Palm Kernel Oil
By Product Quantity (ton)/year
1. Kernel 2. Fibers 3. Shell
4. Ampty Fruit Bunches 5. Ash from Boiler 6. Wastewater
Plan Location
Plan Layout
3. Energy Use
Energy Use Energy Use/month
Production
Production Process Water Used (m3/month)
1. Boiler
Bagian 3. Schematic Diagram ; Palm Oil Mill Process
Jam Kerja per hari, shifts/hari
Rata-rata kapasitas produk : (unit : per bulan) Kapasitas maksimum produk ; (unit : per bulan) Bagian 4. Waste Management
1. Wastewater Treatment Schematic Diagram
2. Wastewater Characteristic
Parameter Influent Effluent
1.PH
3. Effluence Management
O Agriculture O Channel, River O other
4. Solid Waste Management
Waste In Plant Reuse/
Recycle External Reuse/ Recycle Disposal
Sell to Price Other
5. Air Pollution c Control O Air Pollutan Equipment O No
6. What is the environmental problem of the factory? O Wastewater O Solid Waste O Noise O Air Pollution O Smell from O Dust from
7. What have ben the biggest obstacles to improve the envioremental performance? O Technology O Financial
O Knowlegde O Other
8. Do you think that The industrial emission/effluent standard are appropriate O Yes
O No, Reason
Bagian 5. Clean Technology I. General
1. What is the concept of the world clean technology? 2. Has the company adopted the cleaner production?
O Yes, from when O No
3. Why does the company apply cleaner production?
O reduce oil loss O increase production efficienncy O enchance product quality O educe cost of production
O clean technology O good Housekeeping O in-plent reuse/recycle O process modification O Waste Exchange
O reuse/recycle of wasteroduc O wastewater water treatment plant
6. Who have introduced clean technology to the factory?
O government agency O international donor agency
O NGOs O University
O other mills O Supplier
7. What are the major barriers of clean technology application within the mill/ O lack of the personal resource O lack of know-how
O lack of information O lack of incentive from government institute O lack of competitiveness O lack of money
O Other
8. What the government agenciesWhat the government agencies should do for better industrial environmental management?
II. Clean Technology
1. What the kind of improvements has been done/ 1.1. Wastewater
a. Control system of sterilizer O automatic O Manual
b. Management of wastewater from sterilization O go to wastewater treatment plant
O separate and reclycle to O Other
c. Oil water separation equipment
O separator O decanter O decanter & separator O settling tank O buffer tank O Other
d. Management of steam condensate O drain to sewer
O separate and recycle
e. Oil separation from wastewater before pumped to wastewater treatment O oil trap tank O oil skinner O other
1.2. Solid waste management a. EFB disporal
b. Fibre disposal
2. After cleaner production application, any change?
O increase production yield O enchance product quality O reduce water comparison O reduce wastewater flow O reduce oil loss in wastewater O reduce energy consumption O reduce operation cost
3. What is done in oder to introduce continuously improvement and how is this done? 4. What eill be done, in future, related to improving the technology management in the
company?
III. Knowledge
1. What is your source of knowledge in relation to improvement of the environmental performance?
O consultancy O supplier O university/research institute O Government agency O NGOs O International donor agency O Other
2. What kind of knowledge do the company need in oder to improve more? O technical assistance
O training O demonstration
O consultancy O pilot plant O other O manual
O financial assistance
O low interest loam O goam O other
IV. Regulation
1. Which environmental laws must the company comply with? 2. Who enforces the law and how is this done?
O control of emission O self-control
O visual inspection O reaction when problem occur O other
3. What is the conception of regulation authority?
O enemy O partner
4. Do the company think that the regulations need to be improved/ O yes
O no
V. Market
1. Who is the competitive of palm oil/
2. What are the competitive advantages of the company today/in the future?
3. Does the company see opportunities in the market in the field of green products? 4. How big is the capacity to investigate the oppurtunities in new markets and create
new market potentials?
Questionnaire for 2 selected factories (PTP dan PT LONSUM) Clean Technology Approach
1. What iss the conception of the world clean technology?
2. What are the environmental problems of factory?
3. Project concrn in environmental improvement to the factory (Actors involving, how, when and the outcome)
1. 2. 3. 4. 5.
4. What have been done in process to improve environmental performance or reduce environmental impact in company?
1. 2. 3. 4. 5.
5. Details of clean technology introduction within a mill Project Motivation Incentive Information From
whom
Barrier Problem
6. What relationship do you have with the following actors? Actor Relationship Contact
frequency
Report Report Frecuency
Type of resources
Type of Exchange Policy
Actors
Economic Actor
Societal Actor
7. Do you have to deal with any pressure from environmental agencies, the surrounding community, or others actors on environmental issues?
8. What is the improvement of the business in the future? a. Hardware
Lampiran 2 : Data Kehilangan Minyak
Data Kehilangan Minyak Untuk Tiap Stasiun
No Stasiun Kernel Stasiun Pemurnian Stasiun Pengempakan Stasiun Perebusan
1 883,58 4754,11 4219,11 4834,24
Waktu TBS Air Rebusan Buah Minyak dlm Pd.Biji Total Efisiensi ALB Air kot
Kedatangan Masuk (Sample) (Sample) (Nos) Ikut buah ikut (Sample) (Sample) (Nos) (Sample) (Nos) Kehilangan Pengutipan
Max 0.8 % Tankos Tankos Max 0.8% Myk/TBS myk sawit
Max 2.5 % Max 12 % Max 1.65% Min 93%
1 1020 2000 1890 5300 2760 .50 .840 4.800 8860 .780 28.900 1530 93450 3570 .140 .017.000
2 980 2080 1930 5133 2870 .40 .830 4.880 8700 .900 27060 1540 93560 3680 .130 .017.000
3 1002 1999 1930 6540 2930 .520 .850 4.850 7990 .800 30000 1450 93650 3780 .140 .017.000
4 990 1998 1930 6987 2920 .550 .780 4.640 6900 .810 25700 1500 93600 4670 .130 .017.000
5 987 2050 2000 6800 2950 .530 .900 4.560 7500 .900 28900 1560 93700 4570 .150 .017.000
6 993 1890 1890 6320 2860 .40 .800 4.500 7560 .800 23900 1650 92900 4350 .140 .017.000
7 1020 1930 1930 5430 2940 .40 .810 4.600 7890 .810 29000 1550 93560 3200 .140 .017.000
8 980 1930 1930 5550 2800 .490 .900 4.750 6780 .850 30900 1450 93520 5670 .130 .017.000
9 1002 1930 1930 6820 2900 .480 .800 4.560 7890 .780 27060 1650 93600 4560 .150 .017.000
10 990 2000 2000 5740 2700 .490 .810 4.500 7690 .900 30000 1350 93700 5660 .140 .017.000
11 987 2000 1930 6850 2800 .510 .850 4.600 6780 .800 25700 1550 92900 4670 .140 .017.000
12 993 1890 1890 5740 2900 .520 .780 4.750 7890 .810 30900 1450 93560 4570 .140 .017.000
13 967 2040 1930 6320 2700 .550 .900 4.750 7690 .900 27060 1650 93520 4350 .130 .017.000
14 987 1930 1930 5430 2920 .530 .800 4.800 8860 .840 30000 1350 93700 3200 .140 .017.000
15 990 2120 1930 5550 2950 .480 .810 4.880 8700 .830 25700 1450 92900 5670 .130 .017.000
16 987 2130 2000 6820 2860 .490 .900 4.850 7990 .850 30900 1500 93560 4560 .150 .017.000
17 993 2143 2000 5740 2940 .510 .840 4.640 6900 .780 27060 1560 93520 5660 .140 .017.000
18 967 1879 1890 6850 2940 .40 .830 4.560 7990 .900 30000 1650 93450 4670 .150 .017.000
19 999 1768 2040 6850 2920 .40 .850 4.500 6900 .800 25700 1550 93560 4570 .140 .017.000
20 976 1790 2120 6320 2950 .490 .780 4.600 8860 .810 28900 1450 93650 4350 .140 .017.000
21 1020 1990 2130 5430 2860 .480 .900 4.750 8700 .850 23900 1500 93600 3680 .130 .017.000
22 970 1930 2143 5550 2940 .490 .800 4.850 7990 .780 29000 1560 93700 3780 .150 .017.000
23 1001 1930 1930 6320 2700 .480 .810 4.640 6900 .900 30900 1650 92900 4670 .140 .017.000
24 1009 1930 1930 5430 2800 .490 .800 4.560 7500 .800 27060 1550 93560 4570 .140 .017.000
25 1000 2000 1930 5430 2900 .510 .810 4.500 7560 .810 30000 1450 93520 4350 .140 .017.000
26 990 2000 2000 6850 2700 .40 .900 4.600 7890 .900 25700 1650 93600 3200 .130 .017.000
27 987 1890 2000 5740 2920 .40 .800 4.750 6780 .800 28900 1560 93700 5670 .140 .017.000
28 993 2040 2000 6320 2900 .50 .810 4.600 7890 .810 23900 1650 92900 4560 .140 .017.000
29 950 2120 1890 5430 2700 .40 .850 4.750 7690 .800 29000 1550 93560 5660 .130 .017.000
30 1009 2130 2040 5430 2920 .520 .850 4.850 6780 .810 30900 1450 93520 3570 .140 .017.000
31 1000 2143 2100 5430 2920 .550 .850 4.640 7890 .900 27060 1500 93560 3680 .140 .017.000 Tandan Kosong AMPAS Slug Akhir
Lampiran 3 : Metodologi Perhitungan Dasar Emisi dari Lagoons
Emisi metana fugitatif dari Lagoons (kolam penampung limbah cair pabrik kelapa sawit). Eproject = EF CH4_lagoons + E CH4_NTWF + E CH4_IC+Leaks
= 5875 + 0 + 1747 = 7622 tCO2
ECH4 lagoons = Mlaggoon – anaerobic*EF CH4 *GW CH4/1000
= 1332269 * 0.21* 21/1000 = 5875 tCO2
Jumlah material organik yang dipindahkan dengan proses anorganik pada pada sistem
lagoons (penampung limbah cair pabrik kelapa sawit)
Mlaggoon_anaerobic =Mlaggoon_total-Mlaggoon_anaerobic - Mlaggoon_Chemical_ox -
Mlaggoon_deposition.
= 1631177 – 214828 – 0 – 84081 = 1332269 kgCOD
Jumlah material organik yang dipindahkan dalam sistem lagoon
Mlaggoon_input =Minput_total * ( 1- RNAWTF)
= 8408131*(1-0.80) = 1681626 kgCOD
Jumlah material organic yang terdegradasi (dihilangkan) secara anaerob pada sistem
lagoon
Mlaggoon_aerobic=254* 2.32*365
= 214828 kgCOD
Jumlah material organic yang hilang selama proses oksidasi kimia pada sistem lagoon
Jumlah total material yang dipindahkan pada sistem lagoon Mlaggoon_total = Mlaggoon_input * Rlaggoon
= 1627648*0.97 = 1578819 kgCOD
Material deposisi pada sistem lagoon
Mlaggoon_deposisi = Mlaggoon_input * Rdeposisi
= 1681626*0.05 = 84081 kgCOD
Emisi Metana dari dari limbah cair anaerob ECH4_ NTWF = ECH4_lagoon BL - E CH4_lagoons
= (32650-5875)*0 = 0 tCO2
Emisi Metana dari Emisi Combusi yang Tidak Efesien ECH4_ IC + Leaks = ( ∑ Vr*CH4_r – (1-fr)*GWP CH4) + PEflare
= 2181434 * 0.00072 *(1-0.98)*21 + 1090 = 1747 tCO2
Emisi Baseline
EBl = ECH4_lagoon BL - E CO2_heat_BL + ECO2_Power_BL =32650 + 0 + 3360
= 36010 tCO2
Emisi Metana Fugitatif Dari Lagoons
ECH4 lagoons = Mlaggoon – anaerobic*EF CH4 *GWP CH4/1000 = 7403688 * 0.21* 21/1000
Jumlah material organik yang dipindahkan dengan proses anaerobik pada sistem
lagoon
Mlaggoon_anaerobic _BL =Mlaggoon _ total_BL-Mlaggoon _ aerobic_BL -
Mlaggoon_Chemical_ox_BL - Mlaggoon_deposition_BL
=8032565 – 21482 – 0 – 414050 = 7403688 tCO2
Jumlah material organik yang dipindahkan pada sistem lagoon Mlaggoon_tota_BLl = Mlaggoon_input_BL * Rlaggoon
= 8280995*0.97 = 8032565 kgCOD
Jumlah material organik yang hilang selama proses oksidasi kimia pada sistem lagoon
Mlaggoon_chemical_ox = 0 KgCOD
Material deposisi pada sistem lagoon
Mlaggoon_deposisi_BL = Mlaggoon_input_BL * Rdeposisi
= 8280995*0.05 = 414050 kgCOD
Jumlah material organic yang terdegradasi (dihilangkan) secara anaerob pada sistem
lagoon
Mlaggoon_aerobic=254* 2.32*365
= 214828 kgCOD
Pada dan/atau emisi grid power yang digantikan berdasarkan kelompok biogas yang dikumpulkan di dalam perlakuan secara anaerob
ECO2_power = EL*CEF
Leakage (Kebocoran)
Berdasarkan metodologi yang digunakan, kebocoran ini diharapkan untuk dihindari/diabaikan.
Reduksi Emisi ER = EBL - Eproject
ER = 36010 – 7622 ER = 28388 tCO2
Summary of the ex-ante estimation of emission reductions :
1. Validasi Model : Jumlah Produksi CPO
Tahun Jumlah Produksi CPO (data aktual) Zij
Jumlah Produksi CPO
(data aktual) Wij Selisih (dj = Zij - Wij)
Deviasi Kuadrat dari Rata-rata (dj - d rata-rata)
1 3.584.352,777 2166433,132 1417919,645 1705256076166,290
2 1419241,965 898343,252 520898,713 167144917821,851
3 623850,002 432488,726 191361,276 6287882584,595
4 331648,717 261348,191 70300,526 1744280158,123
5 224303,097 198477,169 25825,928 7437195796,748
6 184868,552 175380,362 9488,189 10522023884,427
7 170381,068 166894,859 3486,209 11789376981,495
8 165059,202 163778,127 1281,075 12273101588,846
9 163102,970 162633,352 469,618 12453552979,169
10 162384,700 162212,003 172,697 12519911223,314
11 162121,063 162057,530 63,533 12544352404,588
12 162024,310 162001,243 23,067 12553418604,501
13 161987,872 161980,500 7,373 12556935594,781
14 161975,653 161972,492 3,161 12557879538,591
15 161970,310 161970,140 0,170 12558549874,054
16 161968,631 161969,036 -0,405 12558678818,251
17 161968,396 161968,473 -0,077 12558605239,707
18 161968,147 161967,698 0,448 12558487584,742
19 161968,471 161967,874 0,597 12558454185,327
20 161968,370 161967,989 0,381 12558502763,277
2. Validasi Model : Biogas Yang Dihasilkan
Tahun Biogas yang dihasilkan (data aktual) Zij
Biogas yang dihasilkan (hasil
simulasi model) Wij Selisih (dj = Zij - Wij)
Deviasi Kuadrat dari Rata-rata (dj - d rata-rata)
1 4052,645 4009,085 43,559 1318,390596
2 8665,701 8530,736 134,966 3035,654465
3 14843,015 14632,586 210,429 17045,99265
4 20539,889 20305,289 234,600 23941,76142
5 24937,259 24719,997 217,262 18876,8315
6 27998,786 27819,153 179,633 9952,927633
7 29992,519 29854,308 138,211 3403,781593
8 31231,954 31130,162 101,792 480,6275995
9 31976,762 31903,346 73,415 41,64709698
10 32412,970 32360,019 52,951 724,5653288
11 32663,369 32624,394 38,974 1672,369114
12 32804,825 32775,017 29,807 2506,158473
13 32883,704 32859,723 23,981 3123,453873
14 32927,218 32906,848 20,370 3540,157099
15 32951,008 32932,832 18,177 3805,933871
16 32963,916 32947,049 16,867 3969,186877
17 32970,874 32954,778 16,097 4066,857541
18 32974,604 32958,955 15,649 4124,175465
19 32976,594 32961,202 15,392 4157,321238
20 32977,650 32962,405 15,245 4176,266839
3. Validasi Model : Bahan Baku TBS
Tahun Bahan Baku TBS (data aktual) Zij Bahan Baku TBS (data aktual) Wij
Selisih (dj = Zij - Wij)
Deviasi Kuadrat dari Rata-rata (dj - d rata-rata)
1 7.213.412,610 6.491.502,920 721909,690 322141,381
2 7.213.612,610 6.491.368,420 722244,190 813739,306
3 7.213.412,610 6.491.368,420 722044,190 492909,306
4 7.213.012,610 6.491.368,420 721644,190 91249,306
5 7.213.320,610 6.491.368,420 721952,190 372191,506
6 7.213.412,610 6.491.368,420 722044,190 492909,306
7 7.213.412,610 6.491.368,420 722044,190 492909,306
8 7.213.012,610 6.491.368,420 721644,190 91249,306
9 7.213.412,610 6.491.368,420 722044,190 492909,306
10 7.213.302,610 6.491.368,420 721934,190 350552,806
11 7.203.412,610 6.491.368,420 712044,190 86451409,306
12 7.213.002,610 6.491.368,420 721634,190 85307,806
13 7.213.412,610 6.491.368,420 722044,190 492909,306
14 7.213.489,610 6.491.368,420 722121,190 606957,856
15 7.213.400,610 6.491.368,420 722032,190 476203,506
16 7.213.412,610 6.491.368,420 722044,190 492909,306
17 7.213.012,610 6.491.368,420 721644,190 91249,306
18 7.212.412,610 6.491.368,420 721044,190 88759,306
19 7.213.052,610 6.491.368,420 721684,190 117015,306
20 7.212.412,610 6.491.368,420 721044,190 88759,306
4. Validasi Model : Jumlah Produksi Inti
Tahun Jumlah Produksi Inti (data aktual) Zij
Jumlah Produksi Inti (hasil
simulasi model) Wij Selisih (dj = Zij - Wij)
Deviasi Kuadrat dari Rata-rata (dj - d rata-rata)
1 1.728.037,59 1.662.223,66 65813,930 16391498
2 1.728.000,00 1.662.187,50 65812,500 16403079,16
3 1.729.000,00 1.662.187,50 66812,500 9302936,155
4 1.728.000,00 1.662.187,50 65812,500 16403079,16
5 1.728.000,00 1.662.187,50 65812,500 16403079,16
6 1.728.000,00 1.662.187,50 65812,500 16403079,16
7 1.808.000,00 1.662.187,50 145812,500 5768391639
8 1.728.000,00 1.662.187,50 65812,500 16403079,16
9 1.728.000,00 1.662.187,50 65812,500 16403079,16
10 1.728.000,00 1.662.187,50 65812,500 16403079,16
11 1.728.000,00 1.662.187,50 65812,500 16403079,16
12 1.728.000,00 1.662.187,50 65812,500 16403079,16
13 1.728.000,00 1.662.187,50 65812,500 16403079,16
14 1.728.000,00 1.662.187,50 65812,500 16403079,16
15 1.728.000,00 1.662.187,50 65812,500 16403079,16
16 1.728.000,00 1.662.187,50 65812,500 16403079,16
17 1.728.000,00 1.662.187,50 65812,500 16403079,16
18 1.728.000,00 1.662.187,50 65812,500 16403079,16
19 1.728.000,00 1.662.187,50 65812,500 16403079,16
20 1.728.000,00 1.662.187,50 65812,500 16403079,16
5. Validasi Model : Biaya Kedatangan TBS
Tahun Biaya Kedatangan Buah (data aktual) Zij
Biaya Kedatangan Buah
(hasil simulasi model) Wij Selisih (dj = Zij - Wij)
Deviasi Kuadrat dari Rata-rata (dj - d rata-rata)
1 1.076.922.394,93 1.051.899.017,10 25023377,830 617059012711484,000
2 1.045.170.316,56 1.056.352.825,62 -11182509,060 129168097005509,000
3 1.074.593.731,88 1.085.254.440,46 -10660708,580 117579624150082,000
4 1.029.699.662,95 1.053.079.804,47 -23380141,520 555207749343833,000
5 1.059.061.048,07 1.074.639.016,25 -15577968,180 248398827928508,000
6 1.078.289.034,32 985.979.430,85 92309603,470 8487365370018480,000
7 1.090.223.380,20 1.020.827.868,35 69395511,850 4790412593227020,000
8 1.059.144.004,01 1.078.308.883,77 -19164879,760 374329046899380,000
9 1.050.844.759,52 1.069.877.995,96 -19033236,440 369252416205655,000
10 1.058.040.321,18 1.091.419.532,10 -33379210,920 1126402219049380,000
11 1.069.786.088,97 1.038.710.395,49 31075693,480 954376719894446,000
12 1.048.867.928,32 1.055.148.708,80 -6280780,480 41776648176185,200
13 1.041.736.990,41 1.070.572.935,96 -28835945,550 842082096022483,000
14 1.061.896.139,37 1.052.679.770,47 9216368,900 81607078390277,100
15 1.044.482.720,70 1.078.027.828,92 -33545108,220 1137565403524510,000
16 1.046.983.295,06 1.151.088.363,35 -104105068,290 10875939716291900,000
17 1.042.489.336,27 1.033.100.529,17 9388807,100 84752310711001,300
18 1.054.692.832,86 1.080.745.171,62 -26052338,760 688277535806969,000
19 1.077.219.987,71 1.030.517.865,41 46702122,300 2164056159834150,000
20 1.135.355.995,38 1.083.615.478,94 51740516,440 2658207891558670,000
Lampiran 4 : Data Volume Biogas Secara untuk diuji ANOVA
Perlakuan A1 A2 A3
B1 B2 B1 B2 B1 B2
CI
15 16,5 12,3 18 19,2 17,3
18 17,8 17,5 15,3 19,7 18,1
20 15,7 18,4 14,7 20 18,5
25 20 19,2 18 19,3 19
C2
17 19,5 17,4 15,7 18,3 17,4
18,5 18 18 16,2 17,9 18,1
16,3 20,1 19,5 17,1 19,1 18,5
19,8 18,8 19,9 18,2 19,5 19
C3
16,5 17,3 18,7 19,2 17,8 16,5
20,2 18,1 20,1 20 17,5 19
19,2 19,2 15,5 17,7 18,7 19,9
17,3 19,9 16,7 15,9 19,5 20
Dengan ketentuan :
Temperature (T) A
Pressure (P) B
Retention Time (Rt) C
Perhitungan Persamaan Regresi
Model Pengolahan Pabrik Kelapa Sawit (Lanjutan) Cara I : Mengganti definisi variabel
y = a1 x1 + a2 x2 + a3 x3 + a4 x4 + a5 x5 + a6x6 + bx7 + cx8 + dx9 + k Dimana :
y = Bahan baku TBS
a1 = Persentase penggunaan bahan baku terhadap tandan kosong a2 = Persentase penggunaan bahan baku terhadap serabut
a3 = Persentase penggunaan bahan baku terhadap cangkang a4 = Persentase penggunaan bahan baku terhadap sluge a5 = Persentase penggunaan bahan baku terhadap gas a6 = Persentase penggunaan bahan baku terhadap air
b = Persentase penggunaan bahan baku terhadap jumlah produksi CPO c = Persentase penggunaan bahan baku terhadap jumlah produksi inti
d = Persentase penggunaan bahan baku terhadap jumlah biogas yang dihasilkan x1 = Tandan Kosong x8 = Jumlah produksi inti
x9 = Jumlah Biogas yang Dihasilkan k = Penduga bagi intersep
a1 = 27 % - 30 %
Untuk mencari nilai k menggunakan rumus :
Dari data yang diperoleh diketahui bahwa : Dari data diatas maka formulasinya:
Lampiran 7 : Quality Funtion Deployment
+kecepatan penuangan +kecepatan
pelepasan cetakan -kecepatan mesin -komposisi bahan
cetakan
-kepadatan cetakan
+twmpwratur peleburan
Derajat Hubungan
A = Tingkat hubungan kuat=9 a = Tingkat hubungan sedang=6 e = Tingkat hubungan lemah=3 E = Tidak ada hubungan=0 5 =Sangat Sulit Sekali
KEHILANGAN MINYAK SAWIT Minyak Sawit
Waktu TBS
Air
Rebusan Tandan Kosong Buah
Minyak
Waktu TBS
Air
Rebusan Tandan Kosong Buah
Minyak
dlm Pd.Biji AMPAS Slug Akhir Total Efisiensi ALB Air Kot
Kedatangan Masuk (Sample) (Sample) (Nos) Ikut buah ikut (Sample) (Sample) (Nos) (Sample) (Nos) Kehilangan Pengutipan
Max 0.8 % Tankos Tankos
Max
0.8% Myk/TBS myk sawit
Max 2.5
% Max 12 % Max 1.65% Min 93%
Pengujian Distribusi 1. Data TBS Masuk
3. Data Tandan Kosong
5. Data Minyak dalam Buah Ikut Tankos
7. Data Ampas
9. Data Total Kehilangan
11.Data ALB
12.Data Air
