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"Universitas merupakan salah satu lingkup kecil suatu negara yang turut menyumbang emisi gas rumah kaca yang memicu pemanasan global dan perubahan iklim. Walaupun lingkupnya cukup kecil, namun universitas menjadi bagian yang sangat berpengaruh bagi pengembangan dan kemajuan suatu negara, termasuk dalam konsep mitigasi dampak perubahan iklim lokal. Universitas Indonesia UI adalah salah satu universitas yang telah berkomitmen untuk menjadi kampus hijau di tengah Kota Depok. Oleh karenanya, banyak diadakan penelitian yang mengarah kepada konsep keberlanjutan kampus hijau tersebut. Untuk mengetahui pengaruh aktivitas kampus terhadap lingkungan, dilakukan perhitungan emisi jejak karbon. Beberapa aktivitas kampus yang dimaksud adalah penggunaan energi listrik, penggunaan bahan bakar LPG di kantin, transportasi, pemakaian kertas, dan timbulan sampah di semua fakultas di Kampus UI Depok. Perhitungan besarnya emisi yang dihasilkan kampus dilakukan dengan menggunakan metode IPCC 2006, yakni mengalikan konsumsi aktivitas dengan faktor emisi terkait. Hasil perhitungan dan analisis setiap sektor menunjukkan jumlah emisi gas rumah kaca yang dihasilkan dari kelima sektor tahun 2015 hingga tahun 2017 berturut-turut sebesar 88181,47 tCO2-eq, 78764,01 tCO2-eq dan 76482,87 tCO2-eq. Dari total emisi yang ada, penyumbang emisi dari sektor listrik, transportasi, dan pemakaian kertas terbesar adalah Fakultas Teknik, sedangkan sektor bahan bakar LPG dan timbulan sampah paling besar disumbangkan oleh Fakultas Ekonomi dan Bisnis. Berdasarkan proyeksi emisi gas rumah kaca GRK hingga tahun 2030 dengan menggunakan metode aritmatika untuk kondisi bussiness as usual, diperoleh bahwa emisi GRK pada tahun 2030 akan bernilai sebesar 48064 tonCO2eq. Karena timbulan sampah mengalami penurunan dari tahun 2015 hingga 2017, maka timbulan sampah hingga tahun 2030 pun diproyeksikan akan cenderung mengalami penurunan. Skenario penurunan emisi mengacu pada target pemerintah dalam menurunkan emisi GRK dari yang dapat dilakukan UI berdasarkan kelima sektor tersebut. Skenario ini antara lain meliputi Solar PV, bahan bakar biogas, pemberlakuan satu hari bebas kendaraan dalam seminggu, penggunaan kertas bolak-balik dan sistem digital, serta penerapan konsep bank sampah di fakultas. Hal ini menjadi salah satu faktor yang membuat emisi GRK menurun sebesar 29 atau sekitar 13938,51 tonCO2eq.

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University is one of the small scope of a country that contribute to greenhouse gas emissions that triggers global warming and climate change. Although the scope is relatively small, university is a very influential part of the development and progress of a state, including the concept of mitigating the impacts of local climate change. Universitas Indonesia UI is one of the universities that has committed to be a green campus of the city of Depok. These leads to the conduct of many studies addressing the concept of green campus sustainability. To determine the effect of campus activity on the environment, the carbon footprint emission is calculated. The campus activities included are the use of electrical energy, the use of LPG fuel in the canteen, transportation, paper usage, and waste generation in all faculties at Depok UI Campus. The amount of emissions generated is calculated using the IPCC 2006 method, which is to multiply the activity consumption by the associated emission factor. The results of the calculation and analysis of each sector shows that the amount of greenhouse gas emissions generated from the five sectors in 2015 until 2017 are amounted up to 88181,47 tCO2 eq, 78764,01 tCO2 eq and 76482,87 tCO2 eq correspondingly. Of the total emissions, the largest contributor of emissions from the sector of electricity, transportation, and paper usage is the Faculty of Engineering, while emissions from LPG fuel sector and waste generation are mostly contributed by the Faculty of Economics and Business. Greenhouse gas GHG emissions are projected up to the year of 2030 by using arithmetic method for business as usual condition, from which it is concluded that, by 2030, GHG emissions will have a value of 48064 tonCO2eq. Waste generation from 2015 to 2017 has decreased, thus it is projected that the waste generation until 2030 will tend to decrease. Emission reduction scenarios grounded on government targets in reducing total GHG emissions from UI can be implemented based on the 5 sectors. This scenario includes solar PV, biogas fuel, weekly car free day, usage of paper back and digital system, and the concept of garbage bank applied within the faculty. This scenario is one of the factors that make GHG emissions decreased by 29 or about 13938,51 tonCO2eq."

"Walaupun pembakaran hutan menjadi masalah utama tingginya emisi gas rumah kaca (GRK) di Indonesia, terdapat beberapa aktivitas lain yang secara signifikan juga menyumbangkan emisi GRK salah satunya dari kegiatan di lembaga pendidikan tinggi. Belum diketahuinya besarnya emisi GRK dari aktivitas kampus Fakultas Teknik Universitas Indonesia (FTUI), persebaran emisi GRK dari tiap departemen, dan proyeksi emisi GRK hingga tahun 2020 mendorong untuk dilakukan penelitian ini. Emisi GRK dihitung dari tiga aspek, yaitu energi, transportasi, serta barang dan jasa serta proyeksi emisi GRK dihitung dengan tiga metode (linier, eksponensial, dan logaritmik). Hasil analisa menunjukkan bahwa total emisi GRK kampus FTUI terus meningkat dari tahun 2010 sampai tahun 2012 yang secara berurutan memiliki nilai 4.936,90 tCO2eq, 5.370,01 tCO2eq, dan 5.759,86 tCO2eq. Departemen Teknik Sipil menjadi penyumbang emisi GRK terbesar dari hasil proses normalisasi terhadap jumlah mahasiswa dan staf dan emisi GRK pada tahun 2020 diproyeksikan memiliki nilai sebesar 8.934,46 tCO2eq.

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Although forets fires become the main problem of the high greenhouse gas (GHG) emissions in Indonesia, there are several other activities which also contribute significantly, such as activities in the higher education institution. The unknown information of the GHG emissions from activities in the Faculty of Engineering, Universitas Indonesia, the distribution of GHG emissions from each department, and projected GHG emissions in 2020 encourage this research to be conducted. GHG emissions was calculated from three aspects, namely energy, transport, as well as goods and services also emission projection was calculated using three methods (linear, exponential, and logarithmic). The result showed that total GHG emissions of the Faculty of Engineering, University of Indonesia continued to be increased from 2010 to 2012 which subsequently has value of 4.936,90 tCO2eq, 5.370,01, tCO2eq, and 5.759,86 tCO2eq. Department of Civil Engineering contributes the largest GHG emissions based the normalization process of the students and staff and GHG emissions is projected to have a value of 8.934,46 tCO2eq by 2020."

"FAO memperkirakan bahwa sepertiga dari makanan yang diproduksi terbuang atau hilang begitu saja setiap tahunnya dan jelas berdampak pada lingkungan khususnya emisi karbon yang dihasilkan. Tidak dapat dipungkiri, permasalahan terkait emisi karbon sudah seharusnya menjadi perhatian namun hingga saat ini belum banyak penelitian yang mengangkat tema tentang jejak karbon di Indonesia. Skripsi ini bertujuan untuk mengetahui komposisi dari limbah makanan yang dihasilkan dan menghitung jejak karbon yang dihasilkan dari limbah makanan di wilayah Universitas Indonesia. Penelitian ini menggunakan metode literatur sebagai pertimbangan, serta perhitungan jejak karbon menggunakan faktor emisi yang sudah ditetapkan berdasarkan Life Cycle Assessment dari penelitian terdahulu. Dalam perhitungannya, penelitian ini menggunakan berat sampah makanan edible hasil sampling sampah yang dilakukan di kantin kantin di Universitas Indonesia dengan total sampel sebanyak 2214 piring. Dari hasil penelitian didapatkan bahwa komposisi limbah makanan yang ada di Universitas Indonesia didominasi oleh makanan pokok seperti nasi (33%), sayuran terutama sayuran hijau (31%) dan daging (15%) dengan hasil rata-rata limbah makanan secara keseluruhan adalah 28,18 gram/orang/hari. Jejak karbon yang dihasilkan akibat limbah makanan ini rata rata sebesar 25,90 kg CO₂.eq/orang/tahun dan sekitar 55% dari total jejak karbon di diakibatkan karena limbah makanan kategori daging.

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FAO predicts that one third of food become wasted and lost every year. Food that has been wasted will have an impact to environment, especially the emitted carbon. It is undeniable that problem about emitted carbon should have been discussed more frequently. But apparently, there is still few researches about it in Indonesia. This undergraduate thesis aims to study the composition of food waste produced and calculate the carbon footprint produced from food waste in the University of Indonesia. This research uses the literature method as a consideration, as well as the calculation of carbon footprints using emission factors that have been determined based on the Life Cycle Assessment of published research. In its calculations, this study used edible food waste samples, samples carried out in the cafeteria canteen at the University of Indonesia with a total sample of 2214 plates. From this research, it is found that the composition of food waste in Universitas Indonesia is dominated by staple food, such as rice (33%), vegetables, especially green vegetables (31%), and meat (15%) with the overall average of food waste yield 28,18 grams/person/day. The average carbon footprint resulted from this food waste is 25,90 kg CO₂.eq/person/year and about 55% of the total carbon footprint is caused by meat food waste."

"Jejak karbon merupakan jumlah karbon atau gas emisi dari beberapa jenis kegiatan manusia dalam kurun waktu tertentu. Kegiatan commuting dari mahasiswa Universitas Indonesia yang berdomisili di Jakarta Selatan dan Bogor menjadi salah satu penyumbang jejak karbon. Studi ini dilakukan untuk menghitung jejak karbon yang dihasilkan mahasiswa Universitas Indonesia yang berdomisili di Jakarta Selatan dan Bogor, menentukan hotspot jejak karbon, menganalisis faktor yang mempengaruhi jejak karbon dan memberikan rekomendasi untuk mengurangi jejak karbon yang dihasilkan oleh mahasiswa Universitas Indonesia yang berdomisili di Jakarta Selatan dan Bogor. Perhitungan jejak karbon dilakukan dengan metode fuel- based dari World Resources Institute Indonesia dan menggunakan faktor emisi dari UK Department for Business, Energy, & Industrial Strategy. Data primer, yang mencangkup jarak tempuh, jenis kendaraan, frekuensi penggunaan kendaraan, jumlah penumpang, dan jenis bahan bakar, diperoleh dengan pengisian kuesioner online dengan target responden mahasiswa UI yang berdomisili di Jakarta Selatan dan Bogor. Berdasarkan perhitungan yang dilakukan, rata-rata jejak karbon yang dihasilkan oleh aktivitas commuting oleh mahasiswa komuter UI dari Jakarta Selatan dan Bogor adalah 102,352 kg CO2eq/tahun-orang dan 214,292 kg CO2eq/tahun-orang. Faktor yang mempengaruhi nilai jejak karbon tersebut adalah jarak tempuh (r=0,747), jenis kendaraan (r=-0,532) dan frekuensi penggunaan kendaraan (r=0,535). Maka, nilai ini menunjukkan jejak karbon akan meningkat jika terjadi penggunaan kendaraan tidak ramah lingkungan dan peningkatan jarak tempuh beserta frekuensi penggunaan kendaraan. Penelitian ini diharapkan dapat memberikan wawasan yang berharga terkait upaya pengurangan jejak karbon dalam sektor transportasi, yang akan bermanfaat bagi universitas, mahasiswa, dan pemerintah.

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Carbon footprint is the amount of carbon or emission gases produced from various human activities within a specific timeframe. Commuting activities of University of Indonesia students residing in South Jakarta and Bogor contribute significantly to the carbon footprint. This study aims to calculate the carbon footprint generated by University of Indonesia students residing in South Jakarta and Bogor, identify carbon footprint hotspots, analyze factors influencing the carbon footprint, and provide recommendations to reduce the carbon footprint produced by these students. The carbon footprint calculation was conducted using the fuel-based method from the World Resources Institute Indonesia and emission factors from the UK Department for Business, Energy, & Industrial Strategy. Primary data, including travel distance, vehicle type, frequency of vehicle use, number of passengers, and fuel type, were obtained through an online questionnaire targeting University of Indonesia students residing in South Jakarta and Bogor. Based on the calculations, the average carbon footprint generated by commuting activities of University of Indonesia students from South Jakarta and Bogor was 102,352 kg CO2eq/person-year and 214,292 kg CO2eq/person-year. The factors influencing the carbon footprint value were travel distance (r=0.747), type of vehicles (r=-0,532) and frequency of vehicle use (r=0.535). Therefore, this value indicates that the carbon footprint will increase in the event of the use of environmentally unfriendly vehicles and an increase in travel distance and frequency of vehicle usage. This research aims to provide valuable insights into carbon footprint reduction efforts in the transportation sector, benefiting universities, students, and the government."

"Penelitian ini bertujuan untuk menganalisis jejak karbon mahasiswa komuter yang melakukan perjalanan terhadap mahasiswa yang berasal dari Kota Tangerang Selatan dan Jakarta Pusat menuju Universitas Indonesia Depok. Jejak karbon merupakan ukuran dari emisi gas rumah kaca yang dihasilkan oleh individu atau kegiatan tertentu. Penelitian ini penting untuk menganalisis jejak karbon yang dihasilkan, hotspot dari jejak karbon, dan memberikan rekomendasi dari aktivitas komuter Mahasiswa Universitas Indonesia yang berdomisili di Tangerang Selatan dan Jakarta Pusat. Dalam penelitian ini, metode perhitungan jejak karbon yang digunakan adalah metode fuel-based dari World Resources Institute (WRI), yang mempertimbangkan faktor ekonomi energi dari WRI dan faktor emisi dari UK Department for Business, Energy, & Industrial Strategy (2021). Metode ini dilakukan dengan pengumpulan data tentang pola perjalanan mahasiswa komuter melalui penggunaan survei dan wawancara sebagai instrumen utama, dengan fokus pada mahasiswa Universitas Indonesia yang berdomisili di Tangerang Selatan dan Jakarta Pusat. Hasil dari penelitian ini menunjukkan adanya korelasi signifikan antara faktor jarak tempuh yang ditempuh oleh responden dan jejak karbon yang dihasilkan, dengan nilai koefisien korelasi Pearson sebesar 0,608. Hal ini menunjukkan bahwa semakin jauh jarak yang ditempuh, jejak karbon yang dihasilkan cenderung lebih tinggi. Selain itu, berdasarkan perhitungan, rata-rata jejak karbon oleh aktivitas komuter mahasiswa dari Kota Tangerang Selatan sebesar 334,196 kgCO2eq/Tahun-orang, sementara mahasiswa komuter dari Jakarta Pusat menghasilkan jejak karbon rata-rata sebesar 171,931 kgCO2eq/Tahun-orang. Penelitian ini memberikan pemahaman yang lebih baik tentang faktor-faktor yang berkontribusi terhadap jejak karbon yang dihasilkan oleh mahasiswa komuter, serta memberikan rekomendasi terkait aktivitas komuter mahasiswa Universitas Indonesia yang berdomisili di Tangerang Selatan dan Jakarta Pusat. Penelitian ini memiliki implikasi penting dalam upaya pengurangan jejak karbon di kalangan mahasiswa komuter Universitas Indonesia serta masyarakat umum. Rekomendasi yang dihasilkan dari penelitian ini dapat menjadi dasar bagi universitas dan pemerintah terkait perancangan kebijakan dalam mobilitas mahasiswa.

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This study aims to analyze the carbon footprint of commuter students traveling from South Tangerang City and Central Jakarta to the University of Indonesia Depok. Carbon footprint is a measure of greenhouse gas emissions produced by individuals or specific activities. The research is important to analyze the generated carbon footprint, identify carbon footprint hotspots, and provide recommendations for the commuting activities of University of Indonesia students residing in South Tangerang City and Central Jakarta. The research utilizes the fuel-based method from the World Resources Institute (WRI) for carbon footprint calculations, considering energy economics factors from WRI and emission factors from the UK Department for Business, Energy, & Industrial Strategy (2021). The data on commuter student travel patterns are collected through surveys and interviews as the primary instruments, focusing on University of Indonesia students residing in South Tangerang City and Central Jakarta. The results of this study indicate a significant correlation between the distance traveled by respondents and the resulting carbon footprint, with a Pearson correlation coefficient of 0.608. This suggests that the greater the distance traveled, the higher the resulting carbon footprint. Furthermore, the calculations reveal that the average carbon footprint from commuting activities for students from South Tangerang City is 334.196 kgCO2eq/person-year, while students from Central Jakarta generate an average carbon footprint of 171.931 kgCO2eq/person-year. This research provides a better understanding of the contributing factors to the carbon footprint generated by commuter students and offers recommendations regarding the commuting activities of University of Indonesia students residing in South Tangerang City and Central Jakarta. The study has significant implications for reducing the carbon footprint among commuter students at the University of Indonesia and the general public. The recommendations derived from this research can serve as a basis for universities and relevant government agencies in designing policies related to student mobility."

"Universitas Indonesia (UI) merupakan tempat menuntut ilmu bagi mahasiswa dari seluruh Indonesia, tak terkecuali mahasiswa yang berdomisili di Jakarta Timur dan Bekasi memilih untuk melakukan komuter dari domisili asal menuju UI Depok. Penelitian ini bertujuan untuk menganalisis jejak karbon yang dihasilkan, hotspot dari jejak karbon, dan memberikan rekomendasi dari aktivitas komuter Mahasiswa UI yang berdomisili di Jakarta Timur dan Kota Bekasi. Metode perhitungan yang digunakan ialah perhitungan WRI dengan metode fuel-based, dengan mempertimbangkan faktor ekonomi energi dari WRI dan faktor emisi dari UK Department for Business, Energy, & Industrial Strategy (2021). Dengan metode pengambilan data primer menggunakan kuisioner online dengan target Mahasiswa UI yang berdomisili di Jakarta Timur dan Bekasi. Hasil korelasi pearson dalam penelitian ini menunjukkan bahwa faktor yang signifikan dalam mempengaruhi jejak karbon yaitu jenis kendaraan yang digunakan responden dimana didapat nilai (r = -0,774) dimana menunjukan korelasi negatif yang mana semakin efisien kendaraan yang digunakan akan menghasilkan jejak karbon semakin rendah. Selain itu, berdasarkan hasil perhitungan didapatkan rata-rata jejak karbon oleh aktivitas komuter mahasiswa dari Jakarta Timur sebanyak 153,02 kgCO2eq/Tahun-orang, sedangkan untuk mahasiswa komuter dari Bekasi menghasilkan sebesar 278,34 kgCO2eq/Tahun-orang. Penelitian ini memberikan pemahaman yang lebih baik tentang faktor-faktor yang berkontribusi terhadap jejak karbon ,dan memberikan rekomendasi dari aktivitas komuter Mahasiswa UI yang berdomisili di Jakarta Timur dan Kota Bekasi.

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Universitas Indonesia (UI) is a place of study for students from all over Indonesia, including students who live in East Jakarta and Bekasi who choose to commute from their original domicile to UI Depok. This study aims to analyze the resulting carbon footprint, and the hotspots of the carbon footprint, and provide recommendations from the commuting activities of UI students who live in East Jakarta and Bekasi City. The calculation method used is the WRI calculation using the fuel-based method, taking into account WRI's energy economy factors and emission factors from the UK Department for Business, Energy, & Industrial Strategy (2021). The primary data collection method using online questionnaires targeting UI students who live in East Jakarta and Bekasi. The results of the Pearson correlation in this study indicate that a significant factor affecting the carbon footprint is the type of vehicle used by the respondent where the value (r = -0.774) is obtained which shows a negative correlation in which the more efficient the vehicle used will result in a lower carbon footprint. In addition, based on the calculation results, the average carbon footprint of student commuters from East Jakarta is 153.02 kgCO2eq/year-person, while for commuter students from Bekasi, it is 278,34 kgCO2eq/year-person. This research provides a better understanding of the factors that contribute to the carbon footprint and provides recommendations from the commuting activities of UI Students who are domiciled in East Jakarta and

Bekasi City."

"[ABSTRAKTelah dilakukan penelitian mengenai tingkat serapan karbon dankandungan klorofil serta analisis sampah, sedimen, dan volume di lima situKampus UI Depok. Penelitian bertujuan untuk menganalisis tingkat serapankarbon dan kandungan klorofil, serta materi organik dalam sampah, sedimen danvolume di lima situ Kampus UI Depok. Penelitian dilakukan di lima situ KampusUI Depok, yaitu Situ Agathis, Situ Mahoni, Situ Puspa, Situ Ulin, dan Situ Salam.Pengambilan sampel dilakukan pada bulan Maret--April 2014. Pengukuranproduktivitas primer perairan menggunakan metode botol gelap-terang. Botolgelap dan botol terang diletakkan pada kedalaman 0 cm, 10 cm, 30 cm, 50 cm, 70cm, dan 80 cm. Pengambilan sampel fitoplankton dilakukan menggunakanplankton net. Pengukuran kandungan klorofil-a dan klorofil-b menggunakanspektrofotometer dengan panjang gelombang 750, 664, 647 dan 630 nm.Perangkap sampah organik berupa kain nylon dengan ukuran pori 1 mm2diletakkan pada inlet dan outlet secara bersamaan di lima situ Kampus UI Depok.Pengambilan sampel sedimen dilakukan menggunakan Peterson Grab. Sampelsedimen dianalisis kadar karbon organik dengan metode Walkley-Black. Metode3D Analyst ArcView 10.1 digunakan untuk menghitung volume situ. Tingkatserapan karbon di lima situ Kampus UI Depok memiliki potensi menyerap karbonrata-rata sebesar 48,61 mgC/m3/jam. Kandungan klorofil-a dan klorofil-b di limasitu Kampus UI Depok rata-rata sebesar 2,59 mg/l dan 0,35 mg/l. Hasilidentifikasi sampel fitoplankton diperoleh empat kelas, yaitu Chlorophyceae,Cyanophyceae, Euglenophyceae, dan Bacillariophyceae. Kepadatan tertinggi dannilai dominansi tertinggi pada sampel fitoplankton di lima situ Kampus UI Depokterdapat pada kelas Chlorophyceae. Terjadi penumpukan sampah organik sebesar0,55 gr/m3/jam. Tipe sedimen pasir mendominasi di perairan lima situ Kampus UIDepok. Kandungn karbon pada sampel sedimen kerikil sebesar 19,75--26,58 ppm,pasir sebesar 28,47--38,55 ppm, dan lumpur sebesar 36,79--42,05 ppm. Perairanlima situ di Kampus UI Depok memiliki potensi dalam menampung volume airsebesar 654.830 m3.

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ABSTRACTResearch has conducted about the level of carbon uptake and chlorophyllcontent as well as the analysis of trash, sediment, and volume in five lakes atCampus UI Depok. The study aimed to analyze the level of carbon uptake andchlorophyll content, and organic matter in the litter, sediment and volume in fivelakes at Campus UI Depok. The study was conducted in five lakes at Campus UIDepok, namely Agathis, Mahoni, Puspa, Ulin, and Salam. Sampling wasconducted in March-April 2014. Measurements of primary productivity in thewater using light-dark bottle method. Dark bottle and light bottle placed at a depthof 0 cm, 10 cm, 30 cm, 50 cm, 70 cm, and 80 cm. Sampling of phytoplankton wasconducted using a plankton net. Measurement of chlorophyll-a and chlorophyll-busing a spectrophotometer with a wavelength of 750, 664, 647 and 630 nm.Pitfalls of organic waste in the form of nylon fabric with a pore size of 1 mm2placed at the inlet and outlet simultaneously in five lakes at Campus UI Depok.Sampling of sediment was conducted using a Peterson Grab. Sediment sampleswere analyzed with the organic carbon content of the Walkley-Black method. 3DAnalyst ArcView 10.1 method used to calculate the volume of the lakes. The rateof carbon uptake in five UI Depok it has the potential to absorb carbon by anaverage of 48.61 mgC/m3/hour. The content of chlorophyll-a and chlorophyll-b infive lakes at Campus UI Depok was average of 2.59 mg/l and 0.35 mg/l. Theresults of the identification of phytoplankton samples obtained four classes,namely Chlorophyceae, Cyanophyceae, Euglenophyceae, and Bacillariophyceae.The highest density and highest dominance values in samples of phytoplankton infive lakes at Campus UI Depok contained in the class Chlorophyceae. Build up oforganic waste by 0.55 gr/m3/hour. Sand sediment types dominate in five lakes atCampus UI Depok. Carbon content in sediment samples gravel at 19.75 to 26.58ppm, the sand at 28.47 to 38.55 ppm, and the mud of 36.79 to 42.05 ppm. The fivelakes at Campus UI Depok has the potential to accommodate the volume ofwaters at 654.830 m3.;Research has conducted about the level of carbon uptake and chlorophyllcontent as well as the analysis of trash, sediment, and volume in five lakes atCampus UI Depok. The study aimed to analyze the level of carbon uptake andchlorophyll content, and organic matter in the litter, sediment and volume in fivelakes at Campus UI Depok. The study was conducted in five lakes at Campus UIDepok, namely Agathis, Mahoni, Puspa, Ulin, and Salam. Sampling wasconducted in March-April 2014. Measurements of primary productivity in thewater using light-dark bottle method. Dark bottle and light bottle placed at a depthof 0 cm, 10 cm, 30 cm, 50 cm, 70 cm, and 80 cm. Sampling of phytoplankton wasconducted using a plankton net. Measurement of chlorophyll-a and chlorophyll-busing a spectrophotometer with a wavelength of 750, 664, 647 and 630 nm.Pitfalls of organic waste in the form of nylon fabric with a pore size of 1 mm2placed at the inlet and outlet simultaneously in five lakes at Campus UI Depok.Sampling of sediment was conducted using a Peterson Grab. Sediment sampleswere analyzed with the organic carbon content of the Walkley-Black method. 3DAnalyst ArcView 10.1 method used to calculate the volume of the lakes. The rateof carbon uptake in five UI Depok it has the potential to absorb carbon by anaverage of 48.61 mgC/m3/hour. The content of chlorophyll-a and chlorophyll-b infive lakes at Campus UI Depok was average of 2.59 mg/l and 0.35 mg/l. Theresults of the identification of phytoplankton samples obtained four classes,namely Chlorophyceae, Cyanophyceae, Euglenophyceae, and Bacillariophyceae.The highest density and highest dominance values in samples of phytoplankton infive lakes at Campus UI Depok contained in the class Chlorophyceae. Build up oforganic waste by 0.55 gr/m3/hour. Sand sediment types dominate in five lakes atCampus UI Depok. Carbon content in sediment samples gravel at 19.75 to 26.58ppm, the sand at 28.47 to 38.55 ppm, and the mud of 36.79 to 42.05 ppm. The fivelakes at Campus UI Depok has the potential to accommodate the volume ofwaters at 654.830 m3.;Research has conducted about the level of carbon uptake and chlorophyllcontent as well as the analysis of trash, sediment, and volume in five lakes atCampus UI Depok. The study aimed to analyze the level of carbon uptake andchlorophyll content, and organic matter in the litter, sediment and volume in fivelakes at Campus UI Depok. The study was conducted in five lakes at Campus UIDepok, namely Agathis, Mahoni, Puspa, Ulin, and Salam. Sampling wasconducted in March-April 2014. Measurements of primary productivity in thewater using light-dark bottle method. Dark bottle and light bottle placed at a depthof 0 cm, 10 cm, 30 cm, 50 cm, 70 cm, and 80 cm. Sampling of phytoplankton wasconducted using a plankton net. Measurement of chlorophyll-a and chlorophyll-busing a spectrophotometer with a wavelength of 750, 664, 647 and 630 nm.Pitfalls of organic waste in the form of nylon fabric with a pore size of 1 mm2placed at the inlet and outlet simultaneously in five lakes at Campus UI Depok.Sampling of sediment was conducted using a Peterson Grab. Sediment sampleswere analyzed with the organic carbon content of the Walkley-Black method. 3DAnalyst ArcView 10.1 method used to calculate the volume of the lakes. The rateof carbon uptake in five UI Depok it has the potential to absorb carbon by anaverage of 48.61 mgC/m3/hour. The content of chlorophyll-a and chlorophyll-b infive lakes at Campus UI Depok was average of 2.59 mg/l and 0.35 mg/l. Theresults of the identification of phytoplankton samples obtained four classes,namely Chlorophyceae, Cyanophyceae, Euglenophyceae, and Bacillariophyceae.The highest density and highest dominance values in samples of phytoplankton infive lakes at Campus UI Depok contained in the class Chlorophyceae. Build up oforganic waste by 0.55 gr/m3/hour. Sand sediment types dominate in five lakes atCampus UI Depok. Carbon content in sediment samples gravel at 19.75 to 26.58ppm, the sand at 28.47 to 38.55 ppm, and the mud of 36.79 to 42.05 ppm. The fivelakes at Campus UI Depok has the potential to accommodate the volume ofwaters at 654.830 m3.;Research has conducted about the level of carbon uptake and chlorophyllcontent as well as the analysis of trash, sediment, and volume in five lakes atCampus UI Depok. The study aimed to analyze the level of carbon uptake andchlorophyll content, and organic matter in the litter, sediment and volume in fivelakes at Campus UI Depok. The study was conducted in five lakes at Campus UIDepok, namely Agathis, Mahoni, Puspa, Ulin, and Salam. Sampling wasconducted in March-April 2014. Measurements of primary productivity in thewater using light-dark bottle method. Dark bottle and light bottle placed at a depthof 0 cm, 10 cm, 30 cm, 50 cm, 70 cm, and 80 cm. Sampling of phytoplankton wasconducted using a plankton net. Measurement of chlorophyll-a and chlorophyll-busing a spectrophotometer with a wavelength of 750, 664, 647 and 630 nm.Pitfalls of organic waste in the form of nylon fabric with a pore size of 1 mm2placed at the inlet and outlet simultaneously in five lakes at Campus UI Depok.Sampling of sediment was conducted using a Peterson Grab. Sediment sampleswere analyzed with the organic carbon content of the Walkley-Black method. 3DAnalyst ArcView 10.1 method used to calculate the volume of the lakes. The rateof carbon uptake in five UI Depok it has the potential to absorb carbon by anaverage of 48.61 mgC/m3/hour. The content of chlorophyll-a and chlorophyll-b infive lakes at Campus UI Depok was average of 2.59 mg/l and 0.35 mg/l. Theresults of the identification of phytoplankton samples obtained four classes,namely Chlorophyceae, Cyanophyceae, Euglenophyceae, and Bacillariophyceae.The highest density and highest dominance values in samples of phytoplankton infive lakes at Campus UI Depok contained in the class Chlorophyceae. Build up oforganic waste by 0.55 gr/m3/hour. Sand sediment types dominate in five lakes atCampus UI Depok. Carbon content in sediment samples gravel at 19.75 to 26.58ppm, the sand at 28.47 to 38.55 ppm, and the mud of 36.79 to 42.05 ppm. The fivelakes at Campus UI Depok has the potential to accommodate the volume ofwaters at 654.830 m3.;Research has conducted about the level of carbon uptake and chlorophyllcontent as well as the analysis of trash, sediment, and volume in five lakes atCampus UI Depok. The study aimed to analyze the level of carbon uptake andchlorophyll content, and organic matter in the litter, sediment and volume in fivelakes at Campus UI Depok. The study was conducted in five lakes at Campus UIDepok, namely Agathis, Mahoni, Puspa, Ulin, and Salam. Sampling wasconducted in March-April 2014. Measurements of primary productivity in thewater using light-dark bottle method. Dark bottle and light bottle placed at a depthof 0 cm, 10 cm, 30 cm, 50 cm, 70 cm, and 80 cm. Sampling of phytoplankton wasconducted using a plankton net. Measurement of chlorophyll-a and chlorophyll-busing a spectrophotometer with a wavelength of 750, 664, 647 and 630 nm.Pitfalls of organic waste in the form of nylon fabric with a pore size of 1 mm2placed at the inlet and outlet simultaneously in five lakes at Campus UI Depok.Sampling of sediment was conducted using a Peterson Grab. Sediment sampleswere analyzed with the organic carbon content of the Walkley-Black method. 3DAnalyst ArcView 10.1 method used to calculate the volume of the lakes. The rateof carbon uptake in five UI Depok it has the potential to absorb carbon by anaverage of 48.61 mgC/m3/hour. The content of chlorophyll-a and chlorophyll-b infive lakes at Campus UI Depok was average of 2.59 mg/l and 0.35 mg/l. Theresults of the identification of phytoplankton samples obtained four classes,namely Chlorophyceae, Cyanophyceae, Euglenophyceae, and Bacillariophyceae.The highest density and highest dominance values in samples of phytoplankton infive lakes at Campus UI Depok contained in the class Chlorophyceae. Build up oforganic waste by 0.55 gr/m3/hour. Sand sediment types dominate in five lakes atCampus UI Depok. Carbon content in sediment samples gravel at 19.75 to 26.58ppm, the sand at 28.47 to 38.55 ppm, and the mud of 36.79 to 42.05 ppm. The fivelakes at Campus UI Depok has the potential to accommodate the volume ofwaters at 654.830 m3.;Research has conducted about the level of carbon uptake and chlorophyllcontent as well as the analysis of trash, sediment, and volume in five lakes atCampus UI Depok. The study aimed to analyze the level of carbon uptake andchlorophyll content, and organic matter in the litter, sediment and volume in fivelakes at Campus UI Depok. The study was conducted in five lakes at Campus UIDepok, namely Agathis, Mahoni, Puspa, Ulin, and Salam. Sampling wasconducted in March-April 2014. Measurements of primary productivity in thewater using light-dark bottle method. Dark bottle and light bottle placed at a depthof 0 cm, 10 cm, 30 cm, 50 cm, 70 cm, and 80 cm. Sampling of phytoplankton wasconducted using a plankton net. Measurement of chlorophyll-a and chlorophyll-busing a spectrophotometer with a wavelength of 750, 664, 647 and 630 nm.Pitfalls of organic waste in the form of nylon fabric with a pore size of 1 mm2placed at the inlet and outlet simultaneously in five lakes at Campus UI Depok.Sampling of sediment was conducted using a Peterson Grab. Sediment sampleswere analyzed with the organic carbon content of the Walkley-Black method. 3DAnalyst ArcView 10.1 method used to calculate the volume of the lakes. The rateof carbon uptake in five UI Depok it has the potential to absorb carbon by anaverage of 48.61 mgC/m3/hour. The content of chlorophyll-a and chlorophyll-b infive lakes at Campus UI Depok was average of 2.59 mg/l and 0.35 mg/l. Theresults of the identification of phytoplankton samples obtained four classes,namely Chlorophyceae, Cyanophyceae, Euglenophyceae, and Bacillariophyceae.The highest density and highest dominance values in samples of phytoplankton infive lakes at Campus UI Depok contained in the class Chlorophyceae. Build up oforganic waste by 0.55 gr/m3/hour. Sand sediment types dominate in five lakes atCampus UI Depok. Carbon content in sediment samples gravel at 19.75 to 26.58ppm, the sand at 28.47 to 38.55 ppm, and the mud of 36.79 to 42.05 ppm. The fivelakes at Campus UI Depok has the potential to accommodate the volume ofwaters at 654.830 m3., Research has conducted about the level of carbon uptake and chlorophyllcontent as well as the analysis of trash, sediment, and volume in five lakes atCampus UI Depok. The study aimed to analyze the level of carbon uptake andchlorophyll content, and organic matter in the litter, sediment and volume in fivelakes at Campus UI Depok. The study was conducted in five lakes at Campus UIDepok, namely Agathis, Mahoni, Puspa, Ulin, and Salam. Sampling wasconducted in March-April 2014. Measurements of primary productivity in thewater using light-dark bottle method. Dark bottle and light bottle placed at a depthof 0 cm, 10 cm, 30 cm, 50 cm, 70 cm, and 80 cm. Sampling of phytoplankton wasconducted using a plankton net. Measurement of chlorophyll-a and chlorophyll-busing a spectrophotometer with a wavelength of 750, 664, 647 and 630 nm.Pitfalls of organic waste in the form of nylon fabric with a pore size of 1 mm2placed at the inlet and outlet simultaneously in five lakes at Campus UI Depok.Sampling of sediment was conducted using a Peterson Grab. Sediment sampleswere analyzed with the organic carbon content of the Walkley-Black method. 3DAnalyst ArcView 10.1 method used to calculate the volume of the lakes. The rateof carbon uptake in five UI Depok it has the potential to absorb carbon by anaverage of 48.61 mgC/m3/hour. The content of chlorophyll-a and chlorophyll-b infive lakes at Campus UI Depok was average of 2.59 mg/l and 0.35 mg/l. Theresults of the identification of phytoplankton samples obtained four classes,namely Chlorophyceae, Cyanophyceae, Euglenophyceae, and Bacillariophyceae.The highest density and highest dominance values in samples of phytoplankton infive lakes at Campus UI Depok contained in the class Chlorophyceae. Build up oforganic waste by 0.55 gr/m3/hour. Sand sediment types dominate in five lakes atCampus UI Depok. Carbon content in sediment samples gravel at 19.75 to 26.58ppm, the sand at 28.47 to 38.55 ppm, and the mud of 36.79 to 42.05 ppm. The fivelakes at Campus UI Depok has the potential to accommodate the volume ofwaters at 654.830 m3.]"

"ABSTRACTCendawan polypore merupakan kelompok cendawan yang memiliki binding dan skeletal hyphae dengan himenium yang umumnya berpori. Cendawan tersebut memiliki manfaat tinggi pada sisi ekologis dan antroposentris. Akan tetapi, sampai dengan tahun 2018, keanekaragaman cendawan di Kampus UI Depok, khususnya cendawan polypore, belum pernah terdata. Hal tersebut perlu menjadi perhatian besar mengingat berbagai peningkatan jumlah sarana-prasarana telah dan sedang dilakukan di kawasan kampus sehingga dapat mengancam keberadaan cendawan polypore. Penelitian bertujuan untuk menginventarisasi dan mendeskripsikan, membandingkan keanekaragaman taksonomi, dan menyediakan koleksi spesimen cendawan polypore di Kampus UI Depok. Sampling spesimen dilakukan di seluruh kawasan urban dan hutan Kampus UI Depok menggunakan metode jelajah bebas. Karakterisasi, identifikasi, dan penyusunan deskripsi spesies menggunakan pendekatan morfologi, baik makroskopis maupun mikroskopis. Diperoleh 70 spesimen cendawan polypore dari kawasan tersebut yang terdiri atas 34 spesies yang berasal dari 22 genus, 7 famili (1 incertae sedis),  dan 4 ordo.  Sebanyak 82,35% cendawan polypore berasal dari ordo Polyporales GA um. Sementara itu, famili dan genus terbesar adalah Polyporaceae dan Trametes. Sebanyak 17 spesies yang terdeteksi sebagai spesies new record di Pulau Jawa dan 11new record di Indonesia. Penelitian menunjukkan bahwa kawasan hutan memiliki keanekaragaman taksonomi lebih tinggi dibandingkan dengan kawasan urban. Hal tersebut dapat disebabkan oleh perbedaan ketersediaan substrat tumbuhan dan kondisi abiotik pada kedua kawasan yang dapat memengaruhi dispersi dan pertumbuhan cendawan polypore.

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ABSTRACTThe polypore mushrooms or polypores are distinguished by their binding and skeletal hyphae and typical poroid hymenophore. Huge beneficial ecological and anthropocentric values can be obtained from them. Unfortunately, there have never been any mushroom diversity record on site, including polypores, though Universitas Indonesia has been established in Depok for 31 years. Moreover, campus facilities development which is ongoing may threaten their existence. The study was aimed to list and describe polypores of UI Depok Campus which then collected as specimen for further studies. Taxonomic diversity in urban and forest area were then compared. Sampling had been conducted using broad survey method. Characterization, identification, and species description were done using morphological approach, both macroscopic and microscopic. Seventy specimens which were collected consisted of 34 species from 22 genera, 7 families (1 incertae sedis), and 4 orders. Polyporales GA um is the largest order (82,35% from all species found) with Polyporaceae and Trametes as the largest in rank family and genus respectively. It is then known that 17 species are new record in Java and 11 among them are new to Indonesia. The study shows that taxonomical diversity is higher in forest area compared to urban area. It was possible due to the differences in plant availability as substrate and abiotic factors those affect polypores dispersion and growth."

"Peningkatan emisi Co2 di atmosfer merupakan salah satu ancaman lingkungan terbesar bagi makhluk hidup, ekosistem, dan bahkan ekonomi global. Pola konsumsi rumah tangga terbukti berkontribusi 60-70% terhadap emisi global, dengan menggunakan data Indonesia Family Life Survey (IFLS), sebagai satu-satunya survei longitudinal besar yang tersedia di Indonesia. Survei ini mencakup 83% dari total populasi di Indonesia, menunjukkan jejak karbon pada tingkat konsumsi rumah tangga Indonesia. Penelitian ini bertujuan untuk menganalisis hubungan antara beban lingkungan rumah tangga Indonesia untuk transisi kehidupan karbon dan pengurangan emisi gas rumah kaca (GRK). Tujuan pertama dari penelitian ini adalah untuk menganalisis hubungan antara kategori pengeluaran rumah tangga, total pendapatan rumah tangga, jumlah anggota rumah tangga, karakteristik wilayah terhadap jumlah emisi yang dihasilkan, baik emisi dari energi rumah tangga maupun tidak langsung. Tujuan kedua adalah untuk menentukan kontributor utama konsumsi rumah tangga di Indonesia serta membuat beberapa rekomendasi berdasarkan hasil yang diperoleh. Metode perhitungan total jejak karbon pada penelitian ini menggunakan kalkulator karbon, Carbon Footprint Ltd. sebagai salah satu kalkulator “kuat” dibandingkan dengan 15 – 30 kalkulator lainnya. Hasil penelitian ini menunjukkan bahwa pendapatan berpengaruh signifikan terhadap total emisi dibandingkan faktor lainnya dengan hasil uji korelasi (r = 0,6712) untuk daerah perkotaan dan (r = 0,9148) untuk daerah pedesaan. Selain itu, konsumsi energi dan peralatan listrik rumah tangga merupakan kategori yang paling banyak mengeluarkan emisi. Total emisi di perkotaan juga jauh lebih tinggi daripada di perdesaan, meskipun hanya selisih rata-rata pendapatan dan jumlah anggota rumah tangga tidak terpaut jauh Proyeksi emisi yang dihasilkan di Indonesia untuk tahun 2030 dengan interval kepercayaan (1- ) sebesar 11.186,6 ± 2.956,45 Co2 metrik ton. Selain itu, emisi yang dihasilkan dari sumber emisi tidak langsung memiliki nilai mengkhawatirkan sebesar 7.862 ± 3.354,28 metrik ton Co2

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The increase in Co2 emissions in the atmosphere is one of the biggest environmental threats to all living things, ecosystem and the global economy. Household consumption pattern proven to have contributed 60-70% to the global emission. This study will be using Indonesia Family Life Survey (IFLS) data, as the only large longitudinal survey available in Indonesia covering 83% of the total population in Indonesia, means showing carbon footprint at the level of Indonesia household consumption practices. This study aims to analyze the relationship between the environmental impact of Indonesian households for the transition to a carbon life and reducing greenhouse gas (GHG) emissions. The first objective of this study is to determine the relationship between categories of household expenditure, total household income, number of household members, area characteristics and the amount of emissions produced, both direct and indirect emissions. The second objective is to determine the main contributors to household consumption in Indonesia moreover to make some recommendations based on the results obtained. The method to calculate Indonesia’s household carbon footprint in this study by using carbon calculator, Carbon Footprint Ltd. as one of the “strong” calculators compared to 15 – 30 other calculators. The results of this study indicate that income is significantly affecting the total emissions compared to other factors with the results of the correlation test r = 0.6712 for urban areas and r = 0.9148 for rural areas. Moreover, energy consumption and the household electrical appliances are the most emission-intensive categories. Total emissions in urban areas are also much higher than in rural areas, although there is only a slight difference between the average of income and number of household members Projected emissions produced in Indonesia for 2030 with a confidence interval (1- ) of 11,186.6 ± 2,956.45 Co2 metric tons. In addition, the emission generated from indirect emission sources has an alarming value of 7,862 ± 3,354.28 metric tons Co2."

"ABSTRAKPenelitian mengenai lichen dilakukan di lingkungan kampus Universitas Indonesia, Depok pada Agustus 2015 -- Januari 2016. Tujuan dari penelitian ini adalah untuk menentukan struktur komunitas lichen di Universitas Indonesia, Depok. Tujuh plot 25 x 25 m dibuat di hutan kota dan sembilan garis transek masing-masing sepanjang 50 m dibuat di jalan utama kampus. Lima pohon dipilih pada setiap titik plot dan transek garis sebagai sampel. Sampel diambil dari pohon dengan DBH (Diameter at Breast Height) minimal 20 cm dengan jaring plastik 10 cm x 10 cm yang melekat di utara, selatan, timur, dan barat sisi batang pohon. Jaring plastik dibagi menjadi 100 kotak persegi, kemudian ditempel pada pohon dengan ketinggian yang berbeda (0 cm -- 100 cm dan 100 cm -- 200 cm) dari permukaan tanah. Hasilnya diperoleh tiga famili lichen yang ditemukan di hutan kota yaitu, Leprariaceae, Sarrameanaceae dan Physciaceae dan lima famili lichen di jalan utama kampus yaitu, Sarrameanaceae, Parmeliaceae, Leprariaceae, Graphidaceae dan Physciaceae. Kesamaan famili lichen antara hutan kota dan jalan utama kampus berdasarkan Indeks Sorenson sebesar 75%. Famili Leprariaceae adalah famili yang dominan di hutan kota, sementara Sarrameanaceae adalah famili yang dominan di jalan utama kampus. Keragaman lichen kedua lokasi dikategorikan sedang berdasarkan Indeks Shannon Wiener (H '1--3), namun tidak ada yang berbeda secara signifikan di antara kedua tempat tersebut. Famili Leprariaceae memiliki frekuensi kehadiran tertinggi pada pohon inang yaitu pohon daruak (Microcos tomentosa) sebesar 7,5%. Berdasarkan uji asosiasi (x2) antara tekstur kulit pohon dengan lichen menunjukkan asosiasi positif antara tekstur kulit pohon dengan lichen. Kehadiran famili Sarrameanaceae, Leprariaceae, Graphidaceae dan Physciaceae dipengaruhi oleh tekstur kulit pohon inang sedikit kasar.

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ABSTRACT

Research on lichens was conducted at the Universitas Indonesia, Depok on August 2015 -- January 2016. The aim of this research is to determine community structur of lichen at the Universitas Indonesia, Depok. Seven plots of 25 x 25 m2 were made at the urban forest, while nine of 50 m line transect were made at the main road. Five trees of each plots and line transect were sampled. The samples were taken from trees with DBH (Diameter at Breast Height) minimum 20 cm then the grid 10 cm x 10 cm were attached at northern, southern, eastern, and western site of the trunk. The grid was divided into 100 square, then attached on trees in different height (0 cm - 100 cm and 100 cm - 200 cm) from the land surface. The result obtained three family of lichens were found in urban forest, they are Leprariaceae, Sarrameanaceae and Physciaceae. Five family were found at the main road, they were Sarrameanaceae, Parmeliaceae, Leprariaceae, Graphidaceae and Physciaceae. The similarity of lichens family between the urban forest and main road based on Sorenson similarity were high 75%. Family Leprariaceae was the dominant family at the urban forest, while Sarrameanaceae was dominant family at the main road. The diversity of lichen at both sites were categorized medium based on Shannon Wiener index (H? 1--3), however there was not significantly different between those place. Family Leprariaceae was the highest frequency of present on daruak (Microcos tomentosa) host tree, that was 7,5%. Based association test (x2) between the texture of tree bark with lichen, shows that positive association between the texture of tree bark with lichen,the presence of Sarrameanaceae, Leprariaceae, Graphidaceae and Physciaceae family is influenced by bark slightly rough."