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Abstrak :
Termites are a group of invertebrates abundant in forested habitats. In this study, we conduct an inventory and spatial analysis of the termite fauna of the UI campus. The survey records the presence of six termite species (Coptotermes curvignathus, Schedorhinotermes javanicus, Macrotermes gilvus, Microtermes insperatus, Odontotermes grandiceps, and Odontotermes javanicus), most of which had been reported by previous studies. The spatial analysis of termite nest distribution suggests a random scattering of termite nests in the UI campus.

Abstrak :
Penelitian mengenai penilaian kesehatan perairan situ di Kampus Universitas Indonesia Depok dengan IBI (Index of Biotic Integrity) telah dilaksanakan di Situ Kenanga, Agathis, Mahoni, Puspa, Ulin, dan Situ Salam pada bulan Maret -- April 2016. Penelitian bertujuan untuk mengetahui apakah IBI dapat digunakan untuk menilai kesehatan perairan Situ Kampus UI dan bagaimana kondisi kesehatan perairan Situ Kampus UI. IBI diaplikasikan berdasarkan karakter komunitas ikan yang ada. Pengambilan sampel ikan dilakukan dengan metode sampling bebas menggunakan alat electrofishing gear, push net, cast net mata jaring 2,5 cm, dan lift net. Hasil penelitian menunjukkan bahwa IBI dapat digunakan untuk menilai kesehatan perairan berdasarkan komunitas ikan di Situ Kampus UI dengan diterapkannya beberapa modifikasi metrik. Kesehatan perairan di Situ Agathis, Mahoni, Puspa, dan Ulin tergolong sedang; kesehatan perairan di Situ Salam tergolong baik.

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A research about an assesment of freshwater lakes health in University of Indonesia Campus Depok has been implemented on Kenanga, Agathis, Mahoni, Puspa, Ulin, and Salam Lakes from March to April 2016. The aim of the study is to know if IBI (Index of Biotic Integrity) can be applied on UI Campus Lakes for assess freshwater lakes health and how is the condition of freshwater health in UI Campus Lakes. IBI is applied based on character of existing fish community. Fish sampling was done by free sampling method using an electrofishing gear, a push net, a cast net [mesh 2.5 cm], and a lift net. The results showed that IBI can be used to assess freshwater health based on fish community in UI Campus Lakes by applying several metric modifications. Freshwater health on Agathis, Mahoni, Puspa, and Ulin Lakes classified as moderate/fair; freshwater health on Salam Lakes classified as good.

Abstrak :
Salah satu upaya untuk mengatasi masalah penyediaan lahan parkir yang meningkat di Kampus UI Depok adalah dengan pembatasan kendaraan melalui pemberlakuan sistem tarif parkir. Untuk melihat kemauan membayar (willingness to pay) para pengguna kendaraan maka dilakukan survei stated preference. Maksud penelitian ini adalah untuk menganalisa keinginan pengguna kendaraan pribadi untuk membayar fasilitas parkir. Selain itu dikembangkan model logit untuk melihat probabilitas pengguna parkir dengan membentuk fungsi utilitas yang dibatasi variabel tarif parkir. Hasil penelitian ini menunjukan untuk tarif parkir mobil Rp. 2.500,00 perjam diperoleh probabilitas mahasiswa yang parkir di dalam kampus UI sebesar 10.96% dan untuk tarif parkir mobil sebesar Rp. 1.000,00 perjam diperoleh probabilitas mahasiwa sebesar 41.96%. Sedangkan untuk tarif parkir sepeda motor Rp. 1.000,00 perjam maka diperoleh probabilitas mahasiswa yang parkir sebesar 10.16% dan karyawan 16.55%. Untuk tarif parkir motor sebesar Rp. 250,00 perjam diperoleh probabilitas mahasiswa yang parkir sebesar 42.45% dan karyawan sebesar 34.46%.

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One way to overcome the parking area supply problem in UI Depok campus is by vehicle restriction using parking tariff system. To predict willingness to pay of vehicle user, stated preference survey has been done. The objective of this research is analysing the willingness to pay of vehicle user for parking facility. This research developed logit model to predict probability of parking user in UI campus by forming utility function limited by parking tariff variable. The research result shows that the application of car parking tariff at Rp. 2.500,00 per hour results in parking student probability of 10.96% and the car parking tariff at Rp 1.000,00 per hour results in student probability of 41.96%. Beside that, the application of motorcycle parking tariff at Rp. 1.000,00 per hour results in parking student probability of 10.16% and staff probability of 16.55%. Then, the application of motorcycle parking tariff at Rp. 250,00 per hour results in parking student probability of 42.45% and staff probability of 34.46%.