faktor-faktor sosial ekonomi yang mempengaruhi harga jual...
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LAMPIRAN
Lampiran 1
DAFTAR KUESIONER PENELITIAN
Faktor-faktor Sosial Ekonomi yang Mempengaruhi Harga Jual Jeruk Medan di Pasar
Induk Kramat Jati Jakarta Timur
No/Nama Responden : ……………………………………………………………………....
Hari/Tgl Wawancara : ………………………………………………………………………
Alamat : …...................................................................................................................................
I. IDENTITAS RESPONDEN
No Nama Umur Gender Pendidikan
Pekerjaan Status
Keluarga Utama Sampingan
Jenis Pendapatan Jenis Pendapatan
- Sumber Modal Usaha : …………………………………………………………
- Jumlah Modal Usaha : …………………………………………………………
- Besar Bunga Pinjaman : …………………………………………………………
Catatan lain : …………………………………………………………………........
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II. MENGUKUR HUBUNGAN KEKERABATAN DAN BISNIS
1. Teman biasa/semarga : …………………………………………………………….......
2. Paman/keponakan : ………………………………………………………………...
3. Saudara sepupu : …………………………………………………………….......
4. Saudara kandung : ………………………………………………………………...
5. Orang tua/anak : ………………………………………………………………...
6. Nota atau komisi : ………………………………………………………………...
Catatan lain : ……………………………………………………………………….......
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III. PENGALAMAN BERDAGANG
1. Sudah berapa lama anda berdagang jeruk di P.Induk Kramat Jati?…....tahun/..…bulan
2. Apa alasan anda bekerja sebagai pedagang jeruk? ………..............................................
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3. Apakah pekerjaan ini merupakan pekerjaan pokok atau sampingan? .............................
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4. Apa pekerjaan anda selain berdagang jeruk? …………………......................................
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5. Apakah setiap hari anda berdagang jeruk? …………………………………………......
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6. Mulai pukul berapa anda berdagang setiap harinya? ……..............................................
Dan berakhir pukul berapa? ……………………………………………………............
Catatan lain : ………………………………………………………................................
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IV. MENGUKUR VOLUME JUAL
1. Berapa banyak jumlah barang yang dikirim perminggu? ………..kg
2. Berapa banyak barang yang diperoleh setelah dilakukan penyortiran? ……….kg
3. Jeruk yang rusak masih bisa dijual kembali atau tidak? ………………………………
Jika iya berapa harga jualnya? ……………..Rp/kg
Jika tidak, berapa rata-rata jumlah terbuangnya? ……………..kg
4. Biasanya berapa lama barang habis terjual? ………………hari
Catatan lain : ………………………………………………………………………........
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V. HARGA JUAL DAN TINGKAT KEUNTUNGAN
No Ukuran Penjualan (kg) Harga (Rp/kg) Biaya (Rp)
Angkut TK
1. Super …………………… ……………….. …………………………….
2. AB …………………… ……………….. …………………………….
3 C …………………… ……………….. …………………………….
4 D …………………… ……………….. …………………………….
5 D Kecil …………………… ……………….. …………………………….
Jumlah
Keuntungan
Catatan lain : ……………………………………………................................................
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VI. PERTANYAAN TAMBAHAN
1. Pada saat apa saja konsumen ramai berbelanja? …………………………………….....
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2. Dari mana biasanya konsumen datang untuk membeli jeruk? ……………………........
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3. Pada bulan apa saja jeruk banyak? ……………………………………..........................
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4. Bagaimana cara memperkirakan harga yang sering berubah-ubah? ……………...........
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5. Apakah harga jual hari sebelumnya mempengaruhi jumlah yang anda jual?
a. Ya, alasannya ……………………………………………………………….............
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b. Tidak, alasannya …………………………………………………............................
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6. Apakah ada permasalahan lain diluar harga yang anda hadapi dalam memasarkan
jeruk? …………………………………………………………………….......................
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Jika ada sebutkan ……………………………………………………………………….
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7. Bagaimana cara anda mengatasinya? ………………………………..............................
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Catatan lain : …………………………………………………………………………....
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DAFTAR KUESIONER PENELITIAN
Faktor-faktor Sosial Ekonomi yang Mempengaruhi Harga Jual Jeruk Medan di Pasar
Induk Kramat Jati Jakarta Timur
No/Nama Responden : ……………………………………………………………………....
Jabatan : .......................................................................................................................................
Hari/Tgl Wawancara : ………………………………………………………………………
Alamat : …...................................................................................................................................
I. SEJARAH DAN LETAK PASAR
1. Bagaimana asal mula terbentuknya Pasar Induk Kramat Jati?
2. Bagaimana letak geografis Pasar Induk Kramat Jati?
3. Bagaimana denah Pasar dulu dan sekarang?
Apa perbedaannya?
4. Bagaimana gambaran posisi parkiran pasar?
Apakah tempat parkir pengujung/konsumen berbeda dengan pedagang?
Ya, untuk konsumen berapa luasnya dan dimana letaknya?
Tidak, berapa luas keseluruhan parkiran dan dimana letaknya?
Catatan lain : ..........................................................................................................................
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II. LETAK KIOS-KIOS
1. Berapa banyak los yang terdapat di Pasar Induk Kramat Jati secara keseluruhan?
2. Berapa persen (%) los khusus buah?
3. Berapa persen (%) los untuk buah jeruk?
Berapa banyak kiosnya?
4. Kios tersebut jika disewa berapa sewa perbulan?
Jika dibeli berapa harga belinya?
Catatan lain : ..........................................................................................................................
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III. PERTANYAAN TAMBAHAN
1. Berapa biaya karcis yang dibayar pedagang setiap hari?
2. Biaya-biaya apa sajakah yang harus dibayar oleh para pedagang?
3. Selain jeruk Medan, jeruk apa saja yang ada diperjualkan di pasar tersebut?
4. Pedagang jeruk Medan, apakah hanya menjual jeruk Medan saja atau ada barang atau
buah yang lain dijualkan?
Catatan lain : ..........................................................................................................................
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Lampiran 2
NoVolume
JualBiaya Pendapatan
Hubungan
Kekerabatan
Hubungan
BisnisPengalaman
Harga Rata-
rata
1 10,000 16,000,000 66,900,000 0 0 8 6,690
2 4,000 10,000,000 26,825,000 1 0 1 6,706
3 15,000 60,000,000 104,700,000 0 1 6 6,980
4 2,000 4,500,000 14,500,000 0 0 4 7,250
5 2,600 3,720,000 19,658,000 1 1 6 7,561
6 1,905 1,760,000 14,430,000 0 0 5.5 7,575
7 5,455 6,700,000 41,812,500 1 1 6 7,665
8 2,190 2,500,000 16,860,000 1 1 6 7,699
9 5,000 6,370,000 40,450,000 1 0 7 8,090
10 8,000 20,000,000 65,500,000 0 0 5 8,188
11 5,410 12,500,000 44,580,000 0 0 9 8,240
12 3,300 4,900,000 27,225,000 0 0 10 8,250
13 9,670 10,700,000 80,420,000 0 0 5 8,316
14 5,000 18,000,000 42,000,000 0 0 20 8,400
15 13,000 24,000,000 110,000,000 0 0 13 8,462
16 1,950 2,950,000 16,542,500 1 1 8 8,483
17 2,425 3,700,000 20,600,000 1 1 4.5 8,495
18 8,900 14,200,000 76,260,000 1 0 5 8,569
19 15,000 22,000,000 131,000,000 1 0 8 8,733
20 10,000 30,000,000 87,400,000 1 1 5 8,740
21 8,925 12,500,000 78,875,000 0 0 4 8,838
22 3,000 3,800,000 26,625,000 1 1 9 8,875
23 2,000 2,000,000 18,045,000 1 0 6 9,023
24 5,960 12,600,000 54,915,000 1 1 5 9,214
25 2,696 3,496,500 24,888,000 1 1 1.5 9,231
26 5,255 7,050,000 48,640,000 0 0 3 9,256
27 4,000 5,880,000 37,085,000 1 1 8 9,271
28 2,825 3,800,000 26,200,000 1 0 11 9,274
29 3,350 7,100,000 31,910,000 0 0 5 9,525
30 5,626 8,500,000 53,839,500 0 1 3 9,570
31 14,000 20,000,000 134,000,000 0 0 12 9,571
32 5,360 7,675,000 51,660,000 1 0 3 9,638
33 4,050 5,400,000 39,170,000 1 1 3 9,672
34 1,500 14,875,000 14,700,000 1 0 6 9,800
35 4,100 5,096,000 40,190,000 1 1 5 9,802
36 2,698 3,459,500 26,589,500 1 1 1 9,855
37 9,000 14,400,000 89,750,000 1 1 3 9,972
38 3,000 9,000,000 30,000,000 0 0 9 10,000
39 3,657 5,000,000 36,667,500 0 0 3 10,027
40 5,370 12,000,000 53,865,000 1 1 6 10,031
41 3,000 3,936,000 30,547,000 1 1 4.5 10,182
42 5,800 7,125,000 59,180,000 1 0 4 10,203
43 10,000 18,000,000 103,600,000 1 1 13 10,360
44 9,800 24,500,000 102,102,000 1 1 5 10,419
45 3,157 4,128,000 33,521,500 1 0 3 10,618
46 3,580 10,000,000 38,290,000 0 0 12 10,696
47 6,080 8,560,000 65,125,000 1 1 7 10,711
48 5,500 7,045,000 59,420,000 0 1 4 10,804
49 3,600 4,368,000 39,405,000 0 0 5 10,946
50 3,160 3,913,000 34,610,000 0 1 6.5 10,953
51 2,783 18,648,000 30,497,000 1 0 4 10,958
52 9,000 20,520,000 99,490,000 1 1 8 11,054
53 1,640 2,112,000 18,145,000 1 0 0.5 11,064
54 2,350 3,000,000 26,050,000 1 1 3.5 11,085
55 9,625 14,065,000 107,150,000 1 0 2 11,132
56 2,500 3,077,000 28,694,000 0 0 3.5 11,478
57 2,990 3,840,000 36,655,000 0 1 6.5 12,259
58 3,000 3,880,000 36,925,000 0 0 5 12,308
59 3,000 3,660,000 37,685,000 0 0 5.5 12,562
60 2,150 2,688,000 27,535,000 0 1 3 12,807
61 3,645 4,371,000 47,275,000 0 0 5 12,970
62 2,435 4,277,000 42,107,500 1 1 7 17,293
63 5,554 6,825,000 180,768,000 1 1 13 32,547
Data Mentah Responden
Lampiran 3
HASIL ANALISIS
Descriptive Statistics
Mean Std. Deviation N
harga jual 1.01E4 3390.117 63
volume jual 5262.32 3442.154 63
biaya 9.85E6 9274836.190 63
pendapatan kotor 5.16E7 3.436E7 63
pengalaman berdagang 6.016 3.4629 63
hubungan kekerabatan .57 .499 63
hubungan bisnis .46 .502 63
Model Summaryb
Model R
R
Square
Adjusted R
Square
Std. Error of
the Estimate
Change Statistics
Durbin-
Watson
R Square
Change
F
Change df1 df2 Sig. F Change
1 .958a .918 .909 1022.234 .918 104.317 6 56 .000 1.714
a. Predictors: (Constant), hubungan bisnis, biaya, pengalaman berdagang, hubungan kekerabatan, pendapatan kotor,
volume jual
b. Dependent Variable: harga jual
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 6.540E8 6 1.090E8 104.317 .000a
Residual 5.852E7 56 1044961.953
Total 7.126E8 62
a. Predictors: (Constant), hubungan bisnis, biaya, pengalaman berdagang, hubungan
kekerabatan, pendapatan kotor, volume jual
b. Dependent Variable: harga jual
Correlations
harga jual volume jual biaya
pendapatan
kotor
pengalaman
berdagang
hubungan
kekerabatan
hubungan
bisnis
Pearson
Correlation
harga jual 1.000 -.126 -.183 .392 .126 .095 .189
volume jual -.126 1.000 .796 .848 .240 -.076 -.042
biaya -.183 .796 1.000 .603 .228 -.078 .019
pendapatan kotor .392 .848 .603 1.000 .315 .021 .062
pengalaman
berdagang .126 .240 .228 .315 1.000 -.169 -.069
hubungan
kekerabatan .095 -.076 -.078 .021 -.169 1.000 .414
hubungan bisnis .189 -.042 .019 .062 -.069 .414 1.000
Sig. (1-tailed) harga jual . .163 .075 .001 .162 .229 .069
volume jual .163 . .000 .000 .029 .276 .373
biaya .075 .000 . .000 .036 .272 .440
pendapatan kotor .001 .000 .000 . .006 .435 .314
pengalaman
berdagang .162 .029 .036 .006 . .093 .295
hubungan
kekerabatan .229 .276 .272 .435 .093 . .000
hubungan bisnis .069 .373 .440 .314 .295 .000 .
N harga jual 63 63 63 63 63 63 63
volume jual 63 63 63 63 63 63 63
biaya 63 63 63 63 63 63 63
pendapatan kotor 63 63 63 63 63 63 63
pengalaman
berdagang 63 63 63 63 63 63 63
hubungan
kekerabatan 63 63 63 63 63 63 63
hubungan bisnis 63 63 63 63 63 63 63
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.
Collinearity Statistics
B Std. Error Beta Tolerance VIF
1 (Constant) 10127.779 370.137 27.362 .000
volume jual -1.773 .100 -1.800 -17.731 .000 .142 7.025
biaya 4.977E-5 .000 .136 2.061 .044 .336 2.975
pendapatan kotor .000 .000 1.859 23.502 .000 .234 4.268
pengalaman
berdagang -70.499 40.704 -.072 -1.732 .089 .848 1.179
hubungan
kekerabatan -646.648 292.215 -.095 -2.213 .031 .793 1.261
hubungan bisnis 204.417 289.541 .030 .706 .483 .796 1.256
a. Dependent Variable: harga jual
Collinearity Diagnosticsa
Model
Dimens
ion Eigenvalue
Condition
Index
Variance Proportions
(Constant)
volume
jual biaya
pendapatan
kotor
pengalaman
berdagang
hubungan
kekerabatan
hubungan
bisnis
1 1 5.323 1.000 .00 .00 .00 .00 .01 .01 .01
2 .783 2.607 .00 .01 .03 .00 .00 .13 .20
3 .342 3.947 .05 .00 .10 .00 .23 .02 .28
4 .282 4.347 .00 .00 .01 .00 .13 .59 .46
5 .143 6.100 .00 .02 .46 .23 .07 .04 .01
6 .100 7.297 .79 .01 .00 .03 .48 .20 .00
7 .027 14.135 .15 .96 .40 .73 .08 .02 .05
a. Dependent Variable: harga jual
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 4909.48 32431.36 1.01E4 3247.931 63
Residual -1.935E3 4477.949 .000 971.513 63
Std. Predicted Value -1.585 6.889 .000 1.000 63
Std. Residual -1.893 4.381 .000 .950 63
a. Dependent Variable: harga jual
Lampiran 4
Lampiran 5