Ex-limestone mining quarry has poor soil fertility, both biological, chemical, and physical condition due to the mining process. Marginal land conditions such as ex-limestone mining quarry require high survival seedlings. Application of ectomycorrhizal fungi is an alternative that can be done to improve the success of restoration. Acacia mangium is one of the plants that could be colonized by many types of mycorrhizal such as ectomycorrhiza. This research aimed to determine the growth of A. mangium seedlings in ex-limestone mining growth media and the effect of ectomycorrhiza application on the growth of A. mangium. The research used a completely randomized design with six treatments and five replications. Treatment consisted of 100% soil with mycorrhiza, 100% soil without mycorrhiza, 50% soil + 50% limestone tailings + mycorrhiza, 50% soil + 50% limestones tailings without mycorrhiza, 100% tailing with mycorrhiza and 100% tailing without mycorrhiza. The seedlings used in the study germinated from seeds taken from Lampung Timur Regency. The seeds germinated in sand for one month, then used as the research material. The measurement taken were height, diameter, number of leaves, leaf area, measured were root length, canopy dry weight, and total dry weight. The colonization of ectomycorrhiza is measured by counting the percentage of colonization. The symbiosis with rhizobium measured by number of root nodules. Data were tested for variance analysis, followed by Least Significance Different Test at significant level of 1% and 5%. The results showed that the percentage of A. mangium life was high, reaching 100%. All growth parameters showed that plant colonized by mycorrhiza has remarkably better values compared to non-mycorrhiza plants.Keywords: limestone, ectomycoriza, mangium, phytoremediation
PBI JKN atau Penerima Bantuan Iuran Jaminan Kesehatan Nasional, adalah peserta jaminan kesehatan bagi fakir miskin dan orang tidak mampu yang iurannya dibayari oleh pemerintah sebagi peserta program jaminan kesehatan. Peserta PBI JKN adalah fakir miskin yang ditetapkan oleh pemerintah dan diatur melalui peraturan pemerintah. Alur untuk menjadi peserta PBI JKN yang pertama peserta menyiapkan persyaratan berupa fotocopy KTP suami istri 2 lembar, Surat Keterangan Tidak Mampu (SKTM) dari Kelurahan 1 asli 1 fotocopy, fotocopy Kartu Keluarga (KK) 2 lembar. Jika persyaratan sudah dilengkapi maka akan dibuatkan surat rekomendasi dari Dinas Sosial, kemudian surat rekomendasi dari Dinas Sosial diantarkan ke Dinas Kesehatan. Jumlah peserta PBI JKN saat ini pada Kota Metro 53.023 warga. Mengingat jumlah peserta yang relative banyak, tentunya data PBI JKN harus diolah dengan baik agar masyarakat dengan kepesertaan PBI JKN dalam Program Jaminan Kesehatan Nasional-Kartu Indonesia Sehat bisa tepat sasaran. Pengolahan data saat ini menggunakan Microsoft Excel dan Microsoft Word. Kelemahan: Pencetakan atau permohonan surat rekomendasi saat ini menggunakan Microsoft Word, sehingga membutuhkan waktu yang lama apabila ada warga yang mengantri untuk membuat surat rekomendasi PBI JKN karena harus membuatkan surat rekomendasi PBI JKN satu persatu karena belum secara otomatis. Aplikasi dirancang menggunakan pendekatan pemrograman terstruktur yang berbasis desktop, dengan teknik pengujian aplikasi menggunakan teknik Black Box Testing. Bahasa pemrograman yang digunakan adalah Java NetBeans, dengan database MySQL dan report menggunakan iReport. Alat pengembangan sistem yang digunakan antara lain flowchart, dfd, erd. Berdasarkan permasalahan tersebut, maka dibutuhkan sebuah aplikasi yang dapat membantu untuk proses pembuatan surat rekomendasi PBI JKN pada Dinas Sosial Kota Metro.
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