ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENDAPATAN PEDAGANG MUSLIM: Studi Pada Pedagang Sayuran di Pasar Jagasatru Cirebon

Anton Sudrajat

Abstract


Bagi sebagian muslim, berdagang merupakan salah satu alternative untuk bekerja di sector informal yang dapat menampung banyak tenaga kerja, tujuan berdagang tentu untuk menghasilkan keuntungan dan untuk menambah pendapatan demi untuk meningkatkan kualitas kehidupan keluarga. Tulisan ini bertujuan untuk menganalisis factor- faktor yang mempengaruhi pendapatan pedagang sayuran di pasar jagasatru Cirebon, seperti variable modal, jam dangang dan pengalaman dagang , system dagang dan kejujuran. Dengan menggunakan metode cross sectional terhadap 60 responden yang dipilih dengan teknik random sampling , dan menggunakan regresi linier berganda dengan metode OLS, hasil penelitian menunjukkan bahwa koefisien determinasi sebesar 73%, sedangkan uji F menunjukkan bahwa seluruh variable ber pengaruh signifikan terhadap pendapatan pedagang , sedangkan uji T menunjukkan bahwa variable modal, jam dagang dan pengalaman dagang ber pengaruh positif terhadap pendapatan pedagang adapun variable system penjualan dan kejujuran tidak menunjukkan pengaruh signifikan terhadap pendapan pedagang.

Kata kunci: Pedagang Islam, Pendapatan, Kapital, Pengalaman, kejujuran

THE ANALYSIS OF FACTORS AFFECTING THE INCOME OF MUSLIM TRADERS (Studies in Vegetables Traders In Jagasatru Market Cirebon). For some Muslims, business trade is an alternative employment in the informal sector that generates income for families and absorbs labors. The Pur pose of trading for Muslim traders is making profit and trying to increase their income to improve the quality of family life. The pur pose of this study is analyzing the factors affecting the income of Muslim traders who sell vegetables at the Jagasatru market, Cirebon, such as capital, trading hours, trading experience, sale system, and honesty of the merchant. This study uses cross sectional method. There are 60 respondents chosen by simple random sampling technique. This article applies multiple linear regressions by the method of OLS (Ordinary Least Square). Coefficient of determination R2 indicates that all independent variables in this study may explain the variation in income by 73% Muslim traders. F test indicates all independent variables have a significant effect on the level of income a significant Muslim traders ? = 10%. Based on t test results, it is known that the variable capital, trading hours and trading experience have positive effects on the income of Muslim traders with 90% confidence level. Because it is a major factor in high fluctuating vegetables business affected by harvesting season. On the other hand, the variables of sale systems and the honesty of merchants do not have significant effect on the income of Muslim traders.

Keywords: Muslim traders, Income, Capital, Experience, Honesty.


References


Fazalurrahman, Muhammad Sebagai Seorang Pedagang. terj. Cet. IV. Jakarta: Yayasan Swarna Bhumy, 2000.

Al-Munawi, Abd al-Rauf Muhammad, Faidhul Qodir. Juz 1, dalam cd hadits Maktabah Syamilah.

Hasan, A, Terjemah Bulughul Maram Ibnu Hajar Asqalani, Bandung: Thoha Putra, 1985.

Husnayetti, Alida Wahyuni dan Sulistyo Seti Utami, Peran serta Perempuan Pedagang Sayur dalam Meningkatkan Pendapatan Keluarga (Studi Kasus Perempuan Pedagang Sayur di Ciputat). Jurnal Equilibrium: Jurnal Ekonomi dan Kemasyarakatan. (2005)

Irawan, Bambang, 2007, Fluktuasi Harga, Transmisi Harga dan Marjin Pemasaran Sayuran dan Buah. Jurnal Analisis Kebijakan Pertanian. Vol. 5 No. 4, (Desember, 2007), hlm.

-373.

Jusup, Al. Haryono, Dasar-dasar Akuntansi. Jilid I. Edisi ke-6.

Yogyakarta: BP STIE YKPN, 2003.

Koswara, Endang, Faktor-faktor Yang Mempengaruhi Pendapatan Anak Sebagai Buruh Studi Kasus Pada Industri Keramik di Desa Anjun-Plered Kabupaten Dati II Purwakarta, Tesis Magister tidak diterbitkan, Yogyakarta: Univeritas Gadjah Mada, 1997.

Muhammad, Abu Bakar, Terjemah kitab Subulussalam, Surabaya: al-Ikhlas, 1995.

Rokhman, Abu Usamah Fatkhur, Ringkasan Targhib wa Tarhib

Ibnu Hajar Asqalani, Jakarta: Pustaka Azzam, 2006.

Sasono, Adi. et al. Solusi Islam atas Problematika Umat (Ekonomi, Pendidikan dan Dakwah), Jakarta: Gema Insani Press, 1998.

Situngkir, Sihol, Paulina Lubis dan Erida, "Peranan Ibu Rumah

Tangga dalam Meningkatkan Pendapatan Keluarga (Kasus pedagang sayur di Kotamadya Jambi)". Jurnal Manajemen dan Pembangungan, Edisi-7, (Juli, 1997), FE UNJA.

Soeratno, Ekonomi Mikro Pengantar, Edisi 2, Yogyakarta: BP STIE-YKPN, 2003.

Sugiono, Metode Penelitian Bisnis (Pendekatan Kuantitatif, Kualitatif dan R&D), Bandung: Alfabeta, 2008.

Sukirno, Sadono, Pengantar Teori Mikroekonomi, Jakarta: PT. Raja Grafindo Persada, 2000.

Sulthoni, M, Etika Bisnis di Komunitas Pengusaha Tionghoa Muslim Kota Yogyakarta. Tesis Magister tidak diterbitkan, Yogyakarta: Universitas Gadjah Mada, 2006.

Umar, Husein, Metode Penelitian untuk Skripsi dan Tesis Bisnis,

Jakarta: PT. Raja Grafindo Persada, 2005.

Widarjono, Agus, Ekonometrika: Teori dan Aplikasi untuk Ekonomi dan Bisnis, Yogyakarta: Ekonisia, 2007.

Winarno, Sigit dan Sujana Ismaya, Kamus Besar Ekonomi, Bandung: Pustaka Grafika, 2003

Yaqub, Hamzah, Kode Etik Dagang Menurut Islam (Pola Pembinaan Hidup dalam Ekonomi) Bandung: CV. Diponegoro, 1984.




DOI: http://dx.doi.org/10.21043/addin.v8i1.591

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mDRywYmUJeLvvIs7xKns+aNVyQvxCgH71U5I3keAJ4Mjz5AvAawfFlwL8YndyAMhxPOo7zckfHDhDLx2CyCCl450VCEpYQnAb/6tgFQpEfxOmlMShLCzyu4oBerZvbrEHFCwH6hbcWegL4bgb4VGW+GfhCIPXVVAl8BTbdDjJXpZYEPTqzTmlR1oyIN+ci4M14tFJp8r6mqSrlVzhn9UkOUq+kbgLD2OPyNMWYiFhNnTicJ0x+Bfh3sWqywJeLg/qElyPBIksSy8bhdjFyThW8C6IjHt6uVgTFswULEKFQ5YQKjieVYURip7QbTM0NK9M+3w48EZ9Mw8IZjn/7SZxK4PO5Qatbqo7jORzrGJpmmoaVDszEDI4Fu7I8vspaimE5K3kjLP9F+ghGXeEk0IXMqqrYDkNXelQk8N6bOf53AU86UJmwcDk09EwBg1EOlsckldT801WZ4hUNpsMwDJkSkOGoHk8JJsuzOjKXeyGerOs47F6REUePCmAqVWY/U7cnpdDPSeDTFSe+FfjvG4ccNqGnqnh8OfCthY6tQ0dkFQQulGFauoDL2uqGacgc0hQDR+NlQ7PwphqOGiDHMpHC8thQZC1TFi2cq1IJfFGAKNUxhrrrlNj1BPDNtwOfxPrfADwniCyynEBV4yMVsshzrwSenpnIYiUQNIqOHM9AmmmZwOWR34SFu0ZsdVMyEgUNQymwmieKuqkoMjVQhWpRUwI8xY4qz9i2uvfFoopv53hzmxwPmHvzob0qQltvNml3Fjqd1wE/DjQUqFEhJNEEUkC4AD+LoiPImoBkLsqFZ5fjkjQ5Mi1ZC+kwRUjUEQhtWAZCBROXAk/xQXVqaaPI9MTWX5ym/Sbg38bxHKsNhkwzX4WWaZAnITcAfgEynddifWkgbBviTAKEAHyNMwXFRBLFy2Lk2IusZBnIUgRKtpbYsCbLTXAOJaqK9VekLRuLSqZn6LySXaRfksDLk1/xXFtvAZ6T/Pta8dAD7nWG876TPyqzakYK9pPibaKIq1kUWQ0csLkFwp+1NAecKitOo/GQLOqwIKQVT0qmxPsDDJNXUtIHU/d7haWCC0tWQd/MLRNCJ3RJ4AcE8OvPJJdyPBkr3Qx41p91C0dJcKzLHQ7HJGNnOH5cGCATHeDHljomB4dnlHTIsg9KA0BWkaxHZ8JkFB1x5yUnAFOGlVnk6Gykeykx7IzcsgMB3bwdn5I2GXarjlBlj/v+PwGeN0e5EtNMtzacdQZPvm+ZJumgZIAv2QexF0+G78c8ifNmOBwfo0TwpPAnumfpGtIdWBB6nLGNFa0oKQgrVQRkIiMOFT85uqV2SgR3wXMlSDQHw4ri0Y0ROV+VwBPRyfXAW1sAXvQyecsMzQwXE99E7LJQIBnyzoiaslhNq+auohSmSnEImB/42QOXCvtMkm8gBeQ4sF8cQtQdDLjOsxoOTIJNz8aOrBawJggko1i+ki4k1pIkmwO3nOsZMiWIAJ4mYirvC7w8yZzPpN2Rp+kEV4mDKuDD0o2Q1nAZgJnrADFYj6GHJJb1VCxCJEvWNEmxDJEFzuYkU5ERGJsKtt6h4zAJUYhBChAIe6RJVpB3jpgXgk9yRe1mxiWyV0jgjX+I48UJaQ3Q7iBfWYQUfFngvfKD2LYXNeAFIEkUCkXHy2SKVdFcA1gEQdIAbU8WwYUF3Yrgf1FyPIkTNctRgNFhHYDrZeqio2uKZMyyQbDKAznpiJRJ6RFxYhOHWOJdAiDSKnkBeKMceCJI9kI/hYAYF8OExVPmciXHV+xAtWYeuKsqdoJ0zwmwkFdMkwo1aa4JeFo5Q6KcBfhn4FdpWNSIlKDDG50FwaNxoqearCGaFpg4ItL0bBBsuEHVa0FS7SL0abyQI4BnCODZtwJPJDQNXwDeJHCn3bK9G5INssBL5cDbvowMJ7IiOQXsc1amAEE50ChlrgATs5plyJrj3auKLGkWljwWy/GsiXcBFV5TDUk3HAMhQ6NYDeYsJHljs7JBHBvW8ts0TGe1lDkiOZXMuSRFxa8AL20OvEwkBNFu6bYEWwk8V5oMkE/2QiDnRdMBMWJSKERIAnBBzACjGfN7J66MpIeOYeKnpHCKoyq6YQlGtDcLji1oXk5NnYmSGFkFSfNcNZBWUrpH2AT49SXFnLcBzxEHa5lu+ZAyGRQZ4Kn/lGqxZXEZWcKkOMttOMX0DHykMg4Im6KFj56Z4fIgHBvnI1iWAqJHE3WHixmO1TRd0rSk/E4+r2YtaeMM06d7ExngiT3c9wOeTH6sV5gLmeOY2SIsYZkOi3K9lLkdOV/34arACDinDvA34C1JMg7MCxNcKMwMAwkftNd0ZIVhYMk6cLoMEsrhkONYOJgJFj1nrKRNPl14LYmTrDW6sihld6vAJ0EyEqr1Vg2RJ1BZmCQDfJbjrTIhj9W56V45UsTaEqGtOclnRceQEVguOFLmYfMHoA8dkO0K6ylg3lg+yBhNs2TkmCyrG56p41pt+vLETen5s2rinIypvGKbSuCJob5Qb+ZtwHOE71mRHY/PehLAZ/Pj2RLcMTTsIjoSK8hKmH34AWtpKFoCouNrGhV6rIAdZ9WBvxpSDMtkTQdkje5jtWwYGquZmgk6w6AW0eJsFU9BrSc/k92/FFNsJfCEHf8LHE9Ctbb6oUwAVlmWhDwmkTuYwJdsdzNjjfJCkRJ1zVGHk7ybCUIblgILZiaIfE0FH0nkKMFSPd0TfQpbjwiZpsNSvuwI4ELpCsWLIgWzEOXiM4MXEjfyRFYDScqEVQFPcuwrgE82uzf+fSYrp8oT14m80Oyea0Y3E8ALE5ANauj5qpdcnuZos0gChvdCYHNlxLLI1GSczKfOTUfGwWNdBLsSsYaMZRJSkI6NfUtBDj6l/UKwtoRQ6vomwEukAKoCfm2aNimkmVLgy46Glv26GngyITebwgejKoZFWmNNd0R95LGil5YwkhWU2Ew8y8uONwk0xQktUdbiqJhgqPcDwFfUMdrIjGQ90mTTRPAKzB0U2CXFHDlxXegG3y09X8J8X16rbxX4NIUvc4ajU9j3SolIBWPWAE+maWdNTrEkm+gKKYoY+pSkpgYICyxMRAEpUdJ9TbbmOi9rSfEE2ZqEAaKiTRNNBg8K/kiyht/roI8VfVJnvuclDeuVn8tLKUj7tlKuir1N4NM0bdLlWVt3MiTs3GGVfUzuJDNX2WHyQcGgBOBZ0Qw4sNjT6zQJyaSQEJESOI4KvC0T8Xrws4LAB4gFycQxS7B1sAeliLoh+1gcjYvupDZ8qVp4CnwidhHp+ZHAEzz2Co5PDyYMCODXGfIk8EyVuZAB/q+c7aMUnFdmofCcZzkqKRQQWOZk+36AbXQW74QYmdr8shaEqilYugmIR0IGYZa3RANsfSUYF+IFfu0lA3OSdD+x8KqAzxy3XF83kggQMgnwwoQUAGW1FVZ9IsJflc9CscgdqHximlxIJsKb0WwnNDILTUcCaVaiQBfj5+dysqJzYOALycEREQWzEBDnPEWBFeEY2Lo04Oe6qRuFJwHyAd26Whs2iw92RwBdreZeqwSeEEFra6BlIrPpCd4n0msYl/Yrcm8Im2hVO6pASqZ6TH6tc34B+I5MSYaS1RiCSb6XPUWWFEVazgWvGJpGlMkRtXCkcoLJGgrIGccyNQt7YaZiFnuI8wKY8TpfJT2fn9rCZiXw5ImqNY1mToTU7GRw2epYJfkQnBEdrMjs5JeXudNyuUL5BSjlc4mYgRDtbOeGTzA8O5gtrv4CulqETwqOZDpezMqrn4lmqIaGwYGiBWtIMj3LMljM+YXuRSdCGFetNG3ExKgh0kirgd+Y4zPKLVmHVjbxYpRT/LIzcpvYxBYzewxM0dcSA+AXl6ycMsptNfOFMhKRyIr2MwjSksnHT6mpxQXnGKZmu+MQrPZI0HAaK68A5HXvfjgHca9IvGyxki46mi+XRPGiimhMbVYl6NPj+US1HasC+ExG2nrgVVJYJJhouf0y4ukXQpSzVGMamEm4bA2IvCIXvCucaz4nulMUqMo4K2wiF0e3WKxMZZwkGZOYwp7pG67mGpn7nOn5XkZ3iqZ6P5vNvQB8LGRRvlRmJmhxph9Tm5ealX7KWoSUNKo4fnPgSY7vJlzFFioS2sP7EAg/rTw+714P8kI+zzgodPGVjY5JKtCCQZctMrG0oixF0BTOMPBDITie51cCnL0vq4ZaH3qKoYZRnDJPsuaF8/swmAdeqXkmrjYm6e59getZoqZPXNwtJodcw1UcX1X/pgh8M53zwvkUXGUXPw0m+bweca6cO0TN0O7cs0wwBu/tZfUt1xfJnRB6lueszBnfeIdI0fBDIZyCZNDd8nOCrWZ3pq5yyagSK4w1cTpnqcGuJVs5dH2oaiK3/DnHo5DY/2NcojcbAV8oipQh8hgSUfbkxbLidCzwuMJ+NUPjBxg0k3q3uELMhGyMPJAbU6bwZHRQGosZdnkYhoCRzWyckHVFbbs2i8PInKgg+VUP7CBOhDCNujsLPR8/CeDebRL5UEzmzBp5jpbMq1FIR/wVwKdWVcUpCYKW/ZDHBZ8/Ow/Y8c0WF2DyD2WTRmR2JUyUFGiyNnajtaEnNiCPVrVGIq0a7ZNcXS0Wo04nDDxP7TgiJ7NgwYD5vtkx4ZiEScZEoBtZzomold0/IYGvZ4An4oGLtR6xSnBsnRC/L9X7TdKxzLVPXo23lqVsIcjG2JFkniu/GdYBPmAK2LZmoqgtlv4bx3qr6pv2eNEZBJ5jaorEEjEulmWxP2s66DUMn08MKiN6mPX7MsATadok8K2rtZu75OYbTehhYbAOTqLcglB2diu5cBHbMLnKPSBMQ89IzRsxvRkzNqMatXGb84HbHOBx8ZI/W249M+Og7JlAEfGiaBraq5+tIXjjisS9uLu1RU7tEnGzTEqgQmz9M8O16Qwkx7fIzbvqotQg7wbEZIpBFfKtWmepSJV8Ywxdr9tpG6lSwuHLVDJ1acAZ7yg9LZLy6vlSP1kSpddImYTMjl1ZsogZTvLWEgk8qbMywK/fNCWtGjrz6BdUVSiWGT9lq/145Zq4ThTsL5FcNAE88f0AbNmsoe7OZi5NSNy3n/8sIdkf2WWV2AH2QfE5jSoTF57FRBarRsN68nl37U4GGOLJlXSDydxBGdjFNGcG5+jltIZgjex8oifTcL8T61PIbde36vaCBFAc2EuU/dVL4uKM6f6qNIFXkGSEQyaDfYvu2otJ2WNUjA5BxKEFaUJ+sbajyoi4MvfkIRkAzTx7otWlYf5LOiJ5+EriOiZ/nTxJ1jKImdr4u581beTlGQt3UsA9N6NbOPFcQTLyB+AgdvFjIcCUdGedJ1MvVRgiS1LKrpxMfr62GAVX0URMrBaMhnY3fkQFY487PipvjZPMycJlGk24jraHJdeJJqxloG5teD8xis0osbyyK0vYJMD/xkfgcbKkaL4XBIHnm4rO/oNPnBdYfOzFwz0xkL7OMRElxYwv1JRSq4NFfvytVMpF5npOT+h3Ah8RxwuCwL/OIv1NFHVlk57gC9d0mVv7rV+etF0AfhlyUVTrXR6G9z9AannycAXwFmO7V6FXadN/0OYUboJ8AjyNQ8JMbc2Rps2of3I2nT5+yXx2MW2/sdWYTi8e+vjvyXQvounjaVkP9h7WtHE3fX75Ru0f18WWny+PNuznJsivgDewFcXYa92pTej08+10Ot3f+UYO43F/O8A/n13s4r/f8D3wbUqB/3v6dU0bF/ufXr5Rf3pQBPlo/7i/YUfVfE37EuCXytWJzNfSY9qvoqPpAXDUp+keftMGSr9avYN/k8/b5Kvspe3spfjvCnj89mzvrqQJ/OoLAL+6FUX+PnpxGAGfu2903bJvmPp7GPjsr2Fox+20o6v+lRJXGX8oBZ65Ml+Zg1qkI1j+0JuLC3h9+rizc/MNuOTxto/lBLy7AyQvzuCL2294fHdfd3Ye8dLv/9jZmX5bMlT7G3x8++OU6p9fHsGv8Hj78PfiJAW+f7Z3Er14frzdmeI5aOPGLp/bGPjn6c4ZNHu0d3QHr/Cy6MHvv971l8D3D/d39s/x51/Odna+9Xbu+odnPfj8+rGfAN87+/T32c4elpq9y53942MMfPvbzs7Ojz61+wjX9y/2KtYA57+wE5DY8V4LZxgJb36+cu/z/uWP3i7mhN507/rn2e2ndv9gZ5fanU6vfx5MT9rtz/tfr3/eTE+o9vHtwefPN/vPVHu6f/nzcvopZqCT24OfPy/3H2Cu9m7g0p0jLK0Ofl4e3BSAfz7Aze5DYydxY18A+JuDn9f7IKXvpjdnP8+w5OlFd9//1I+Ab1/un8EVl6fLn3+dPrQf8EtIWj4AAAXDSURBVOx9OfjRToB/Prs5uL6e3kZ9h+7dYOAvbuGX04t+/9P+A/x/USl8zNmGwDO4lKFQ4dG9Bvnzy4Od28MeKKj98z71/Plit30GwEedfD6A9fB5/6JN/ZieU6dnMLz2t7NvILQvd+HtWaz3vvz7GRbD7c/+7gVu4nz6gzrdgUuBTwvAP+wfggjaP6N2z27gg5Ozf7W/TKd/U7tfD74A8CD3nm922u2L6TkshbO9XgT83S1gvntxe0I9TIHFezfTB5gaUNwP+7FVsAQeM8fl7RF0D2axd7l/3P77BproX97cwc/3Ls7OynTMkpTOWnGzChkEAPwVS+lvZfl2v3365fhif++0fXmAR3F62u5j4C/3znu9u8u9XvvzLSzqb/uHVO8W49h+7oPZc9HrHX3eW2q0fu/5Ym/6eReAx5dODwGqz3hGpnngAb3jXq83vXk+vf0MKLR7u6Bcb+D7RwDnbgrz1j7Y6bf3cF/65ztfIuB/TLGcP4JZPb/Ft/wBwGNZs/v5rE8CD9MDLH63vP749rh9vHcJtzvE758P9qdrzRw2WCduVkEyFQMvUmKhjDcOpLwiNnx0EYnsm+m39lkMfG8JPJg6O7f7ZwD8zukK+MPdGKuL6RRE5/5BzG+9w8vLw+N9DPx0CfxJBPzzXgH4n7jZnenB6entz0iW78ZWTf9xbwl8PwYeutV/AKGVAX7337f4lp8AeNBOR0c3J4RyjYF/BOAjoKEPGPioo3vfsHU53ctazXkSrEX1g9oywMs4niSRFiWvK4quVBdVL9Dx7QX09vRgegTLG2T26cVjLGp+TK9Pjk7OP+0SwO+dQc+PDo6pf+2f4S8f4pV7ffuv0/6XWxL451vQZe3jgqhpn+8/3t0dgX2/e4MNkS9nn9pfSoB/xH0BqGJRA6JjF6bh9hhLKlCUlxj40+uHw69L0ZED/hsWk6ewuNp3NzfHR3cPh8/U7uH08uByjajBpE8q6/YkwHdBxuONFlZDq2gWL+uagouVOS/lXqfUu5xeHJ9c78Oa/TI9eDj5Ces5Uq696eXJyfHFOQZ+KWr6D/vXx8cH+0egvQ6OT04OQTNguty/ODm+3Ls+BeCfMfAXWLlenzx8JTj+MpbxRzfQ7Mn1Ybv9CTd2tn+35PiLGwL4qC/HP/FbDPzu1+nhycMeqBRQrg8nF1jGg3Y+uDlf6srIjo+B/wzAn97sHZ4c3oCM71/vQUfPL74AExz2HkApr4dD1DqFR/pmgceF8OIkHVFHGkJR9Q7NMTnAHb1G1vTOYTHuYbZvH13CK2y0XWJz8ss1iJrLI2wYAHrPt+fAZA97OztnYGJG1t7t2V087iMw8S56n26e2+egyqi/939Exujt4/HlYWLHX8QCtn0H5uTOBbzePb6Bxk6ANW8fsX16g+0bbIme3baXfcEr6hOIG7gdmJOPX9qxOfkJy/jIQFqJjv4liKbe5SPc7WEH5v75K1ifn/ZAEJ2eg2j7etw/vbyO9PNuEYEsycastNQPCXxtuYMgLJ/LJuu4VqL4ynBuH7RPL+7Paa932o/+4ne7+PP28l07uqSPr2ivvjxd+TSnuIF+D4QA/qgfXQoX7PZPTxMOO+3Fs9TeXd0uaax3Gl3fj5pY3X3Vl/izVV+ez497p6eXWGbD+kgdYXyjdnS33V47/nU//iUeHjTUXt5kA5ec9Wdlj6NeAY/3pXJZ37z5Xx+wvNs7+/e/P09vdvvn2BvYTmQjTxxwPV0o/LxMQomAZ7KpmOjFyhx/PLVPQNTsPH4BBbuz/7BpKOb1JGpzO5cu+RR/M4+TTcmaEPzrMzv+QErDQlWBly2R7M26zXTrl8kAX3Vu4oO2QrIzd+N8eAx8bLavgKe7+ZTAD9omcSiYj13brtHLCHyUmm/btjubm7+UxPRBmxOLnCBc1gALF6OOGpTkK3zQB33QB33QB33QB33QB33QB33QB33QB33QB/059H/C6ExmKmF3XwAAAABJRU5ErkJggg==  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