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Abstrak :
ABSTRAK
Dengan keterbatasan kemampuan peralatan yang terpasang untuk menurunkan kadar amoniak dalam air buangan yang berasal dari pabrik Amonium Nitrat. Dimana kadar amoniak tersebutmasih melebihi baku mutu sesuai KEP-SUMENLI-I/I0/1995, tentang mutu limbah cair bagi kegiatan Industri dinyatakan bahwa kadar amonia diperbolehkan maksimum 5 ppm.

Amoniak tersebul sebagian besar berasal dari air kondensasi hasil reaksi antara asam nitrat dan amoniak. Proses unluk menurunkan kadar amoniak terlarut dalam air kondensat tersebut digunakan sistem proses Hsika yang dikenal dengan amoniak stripping.

Perancangan amoniak stripping digunakan metoda Ludwig dan fomiula yang digunakan terlebih dahulu di lakukan uji perancangan ulang dimensi menara kolom yang terpasang di Pabrik amoniak PT Pupuk Kujang, dengan tujuan mencan formula yang tepat. Hasil uji fommla didapatkan data yang sama terhadap data design, sehingga formula sudah tepat dan memenuhi untuk digunakan dalam perancangan ini. Amoniak stripping dirancang dengan laju alir umpan air 2500 kg per jam, kadar amoniak diperhitungkan 100 ppm dan etisiensi penumnan kadar amoniak 93 %_ Kemudian digunakan steam sebagai gas stripper yang dihembuskan melalui sisi bagian bawah menara dengan kondisi temperatur 147 °C dan laju alir 750 kg per jam. Hasil Akhir perancangan amoniak stripping atau menara kolom adalah Diameter kolom bagian dalam 0,5 meter,Tinggi bed isian unggun 4,5 meter dan [sian Unggun /packing digunakan Raschig Ring dengan ukuran 1,5 in.

Perkiraan biayn yang timbul dari pengadaan peralatan utama dalam perancangan proses menurunkan [radar amoniak ini sebesar 54.1S3,81USD atau Rp 541.838.lG0,- (kurs diambil lUSD=Rp 10.000), sedangkan tambahan biaya operasional pertahun sebesar Rp 226_866.57l,-.

Perancangan ini dapat menurunkan kadar amoniak dalam air buangan dari 60 ppm menjadi 2 ppm, hal ini digunakan unluk memenuhi aturan pemerintah dan sebagai lronsekwensi terhadap pemeliharan lingkungan hidup.

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Abstrak :
"ABSTRAK
" Amonia NH3 adalah senyawa kimia yang penting dalam kehidupan modern ini. Dari sekitar 100 tahun lalu sampai saat ini produksi amonia masih diproduksi dengan proses Haber-Bosch menggunakan H2 dan N2 di bawahpada tekanan dan suhu yang sangat tinggi. Metode produksi NH3 dengan fotokatalitik dari air dan N2 pada tekanan atmosfer dan suhu ruang adalah hal yang akan diteliti. Beberapa fotokatalis semikonduktor telah diusulkan, tapi terkendala mengenai efisiensinya yang rendah. Dalam penelitian ini akan dipreparasi TiO2 nanotube dengan sejumlah kekosongan oksigen pada permukaan atau Ti3 surface defects dengan metode reduksi elektrokimia. TiO2-NT difabrikasi melalui anodisasi dari plat Ti selama 45 menit pada 40 V, lalu diannealing selama 2 jam pada 450oC untuk membentuk kristal anatase. Sistem fotokatalitik dengan Ti3 /TiO2-NT yang ketika difotoirradiasi dengan sinar UV dalam air murni dengan bubbling N2 diharapkan dapat menghasilkan gas NH3. Sisi aktif untuk reduksi N2 adalah spesi Ti3 terdapat di sisi-sisi oksigen yang kosong. Spesi ini bertindak sebagai tempat adsorpsi N2. Sifat-sifat ini yang menyebabkan kenaikan kemampuan reduksi N2 menjadi NH3. Konversi energi cahaya menjadi energi kimia didapat dengan efisiensi sebesar 0.0181 "

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" "ABSTRACT
" Ammonia NH3 is an important chemical compound in modern life. Since 100 years ago until now, ammonia is still produced by Haber Bosch method from N2 and H2 in very high pressure and temperature. NH3 production by photocatalytic water and N2 in atmosphere pressure and room temperature will be investigated later. Some semiconductor photocatalysts had been proposed but still had a problem about the low efficiency. In this research, TiO2 nanotube is fabricated with some oxygen vacancies or Ti3 surface defect Ti3 TiO2 NT by electrochemical method. TiO2 NT is fabricated by anodization from Ti foil for 45 minutes at 40 V, then annealing for 2 hours at 450oC to form anatase crystals. Photocatalytic system with Ti3 TiO2 NT when photoirradiated by UV light with water and N2 bubbling is expected to produce NH3. The active site for N2 reduction is Ti3 species on the oxygen vacancies. These species act as adsorption sites for N2 and trapping sites for the photoformed conduction band electrons. These properties therefore promote e cient reduction of N2 to NH3. The solar to chemical energy conversion e ciency is 0.0181

Abstrak :
[ABSTRAK
Konsep penanggulangan bencana saat ini adalah paradigma pengurangan risiko.Setiap individu, masyarakat di daerah diperkenalkan dengan berbagai ancaman (hazards) dan kerentanan (vulnerability) yang dimiliki, serta meningkatkan kemampuan (capacity) masyarakat dalam menghadapi setiap ancaman. Sehingga studi ini bertujuan mengkaji model pengendalian risiko dispersi gas amonia. Disain studi adalah cross sectional. Analisis model pengukuran dan struktural menggunakan comfirmatory factor analysis (CFA). Nilai validitas dan reliabilitas hasil uji kesesuaian/Goodness of Fit (GOF) adalah good fit untuk konstruk dari model.Kuesioner disebarkan secara cluster, terdapat 626 responden (area risiko 0- 2600 meter). Dibagi menjadi 293 responden pada zona dalam (area risiko 0-1300 meter) dan 333 responden zona luar (area risiko >1300-2600 meter). Model pengukuran menghasilkan 5 variabel eksogen (kondisi lingkungan, sosial, ekonomi, biologi dan kapasitas) yang saling berhubungan langsung membentuk variabel endogen risiko dispersi gas amonia. Faktor kondisi lingkungan terdiri dari zona bahaya dan jarak rumah ke jalan raya.Faktor sosial yaitu pelatihan dan pekerjaan.Faktor ekonomi yaitu kecukupan akomodasi, pendapatan, asuransi dan pendidikan.Faktor kapasitas yaitu pengetahuan tentang bahaya, pengetahuan tentang peringatan dini, pengetahuan tentang evakuasi dan perilaku tanggap darurat. Faktor biologi yaitu usia> 65 tahun, anggota keluarga dengan penyakit kronis dan anggota keluarga berkebutuhan khusus. Risiko dispersi gas amonia pada rumah tangga area risiko 0-2600 meter ada pengaruh kontribusi dari 47% faktor sosial, 37% faktor ekonomi, 29% faktor kapasitas dan 9% faktor kondisi. Risiko dispersi gas amonia zona dalam (area risiko 0-1300 meter ada pengaruh kontribusi darifaktor sosialberkontribusi 63%, faktor ekonomi 64%, faktor kapasitas 57% dan biologi 2,3%. Selanjutnya risiko dispersi gas amonia pada rumah tangga area risiko >1300-2600 meter ada pengaruh kontribusi dari 2 (dua) faktor yaitu faktor kondisi 99% dan faktor kapasitas (12%). Penelitian ini menyimpulkan model risiko dispersi gas amonia dalam penelitian ini menunjukkan faktor yang berkontribusi membentuk risiko dispersi gas amonia sehingga dapat menjadi upaya pengendalian dengan memperhatikan faktor yang berkontribusi tersebut. Rekomendasi kepadaPemerintah Daerah untuk menetapkan peta rawan bencana menjadi peraturan daerah yang berkekuatan hukum dan pemberlakuan peraturan tentang tata ruang (daerah pemukiman), standar keselamatan (pemantauan penggunaan teknologi) dan penerapan sanksi terhadap pelanggar. Mengkoordinasi antara Satuan Kerja Perangkat Daerah ix (SKPD), Dinas Pemadam Kebakaran/ Badan Penanggulangan Bencana Daerah (BPBD), dan dinas terkait untuk evakuasi (akomodasi), kelancaran akses jalur evakuasi. Menyelenggarakan sosialisasi, pendidikan dan pelatihan mengenai kesiapsiagaan bencana dispersi gas amonia kepada masyarakat melalui perkumpulan/organisasi di masyarakat. Rekomendasi kepada perusahaan antara lain : Membuat peta rawan bencana dan Emergency Respon Plan (ERP) baik internal maupun eksternal; Melakukan perawatan dengan inspeksi rutin berbasis risiko untuk memastikan kehandalan peralatan sistem pendingin amonia; Semua pekerja dalam operasional tangki sistem pendingin amonia selalu dilakukan dengan mengikuti Standard Operating Procedure (SOP), peraturan keselamatan, audit keselamatan; Mengingat sifat gas amonia yang tidak berwarna tetapi sangat beracun serta luasan area risiko yang berdampak perlu adanya sensor untuk gas amonia sebagai alat ukur dan monitoring. Selanjutnya rekomendasi kepada masyarakat agar mengembangkan dan berperan aktif dalam desa siaga bencana (kesiapsiagaan bencana berbasis masyarakat);

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ABSTRACT
The concept of disaster management nowadays is risk reductionsparadigm. Each individual, residents are introduced to various threats and vulnerabilities owned, as well as increased capacity in facing any threats. This study aims to assess the risk control model of ammonia gas dispersion. The designstudy was cross sectional using confirmatory factor analysis (CFA) as the measurement model and structural analysis. Validity and reliability value for Goodness of Fit (GOF) test is good fit for construct of the model. Questionnaires were distributed by cluster, there were626 respondents (risk area 0-2600 meters) divided into 293 and 333 respondents in the inner and outer zones (risk area >1300-2600 meters). Measurement model produces 5 directly interconnected exogenous variables (environmental, social, economic, biological and capacity condition) to form an endogenous variable risk of ammonia gas dispersion. Environmental conditions consist of danger zone and distance from home to road. Social factors consist of training and job. Economic factors consist of accommodation, salary, assurance and education. Capacity factors consist of hazard knowledge, early warning knowledge, evacuation knowledge and emergency response behavior.Biological factors consist of age >65 year old and family member with chronic disease and disability. The model goodness of fit test result was compatible for RMSEA, CFI, IFI, CN, SRMR, GFI and AGFI. It indicates that the models can describe the ammonia gas dispersion riskformed factors. Social factorscontribute61% of thetotalrisk ofammoniagasdispersion, related toeconomic factors(42%), capacityfactor(36%)andconditionfactor(5.7%). Riskdispersionof ammoniagasin thezoneindicateseconomic factorsaccounted for64% of thetotalrisk ofammoniagas dispersionincludingsocial(63%), capacity(57%) andbiology(2.3%). While theouterzone ofthe conditionfactor(99%) to be importantin the risk ofammoniagasdispersionandcapacity factor(1%). This study concludes dispersion risk modelsof ammonia gas in this study indicate risk factors that contribute to form ammonia gas dispersion to be a control effort by noticing the factors that contribute as following; recommend to the Regional Government to establish hazard maps into a legally binding regional regulations and enforcement of regulations on spatial (residential areas), safety standards (monitoring the use of technology) and the imposition of sanctions against offenders. Coordinate between work units (SKPD), Fire Department / Agency for Disaster Management (BPBD), and related agencies for evacuation (accommodation), the smooth evacuation route access. Organize socialization, xi education and training on disaster preparedness ammonia gas dispersion to the public through associations / organizations in the community. Recommendations to the company include: Creating a hazard map and Emergency Response Plan (ERP) both internally and externally; Perform routine maintenance with risk- based inspections to ensure equipment reliability ammonia refrigeration systems; All workers in the operational tank ammonia cooling system is always done by following the Standard Operating Procedure (SOP), safety rules, safety audits; Given the nature of ammonia gas that is colorless but highly toxic as well as the extent of the risk areas that impact the need for a sensor for ammonia gas as a means of measuring and monitoring. Further recommendations to the community are to develop and play an active role in disaster preparedness village (community-based disaster preparedness).;The concept of disaster management nowadays is risk reductionsparadigm. Each individual, residents are introduced to various threats and vulnerabilities owned, as well as increased capacity in facing any threats. This study aims to assess the risk control model of ammonia gas dispersion. The designstudy was cross sectional using confirmatory factor analysis (CFA) as the measurement model and structural analysis. Validity and reliability value for Goodness of Fit (GOF) test is good fit for construct of the model. Questionnaires were distributed by cluster, there were626 respondents (risk area 0-2600 meters) divided into 293 and 333 respondents in the inner and outer zones (risk area >1300-2600 meters). Measurement model produces 5 directly interconnected exogenous variables (environmental, social, economic, biological and capacity condition) to form an endogenous variable risk of ammonia gas dispersion. Environmental conditions consist of danger zone and distance from home to road. Social factors consist of training and job. Economic factors consist of accommodation, salary, assurance and education. Capacity factors consist of hazard knowledge, early warning knowledge, evacuation knowledge and emergency response behavior.Biological factors consist of age >65 year old and family member with chronic disease and disability. The model goodness of fit test result was compatible for RMSEA, CFI, IFI, CN, SRMR, GFI and AGFI. It indicates that the models can describe the ammonia gas dispersion riskformed factors. Social factorscontribute61% of thetotalrisk ofammoniagasdispersion, related toeconomic factors(42%), capacityfactor(36%)andconditionfactor(5.7%). Riskdispersionof ammoniagasin thezoneindicateseconomic factorsaccounted for64% of thetotalrisk ofammoniagas dispersionincludingsocial(63%), capacity(57%) andbiology(2.3%). While theouterzone ofthe conditionfactor(99%) to be importantin the risk ofammoniagasdispersionandcapacity factor(1%). This study concludes dispersion risk modelsof ammonia gas in this study indicate risk factors that contribute to form ammonia gas dispersion to be a control effort by noticing the factors that contribute as following; recommend to the Regional Government to establish hazard maps into a legally binding regional regulations and enforcement of regulations on spatial (residential areas), safety standards (monitoring the use of technology) and the imposition of sanctions against offenders. Coordinate between work units (SKPD), Fire Department / Agency for Disaster Management (BPBD), and related agencies for evacuation (accommodation), the smooth evacuation route access. Organize socialization, xi education and training on disaster preparedness ammonia gas dispersion to the public through associations / organizations in the community. Recommendations to the company include: Creating a hazard map and Emergency Response Plan (ERP) both internally and externally; Perform routine maintenance with risk- based inspections to ensure equipment reliability ammonia refrigeration systems; All workers in the operational tank ammonia cooling system is always done by following the Standard Operating Procedure (SOP), safety rules, safety audits; Given the nature of ammonia gas that is colorless but highly toxic as well as the extent of the risk areas that impact the need for a sensor for ammonia gas as a means of measuring and monitoring. Further recommendations to the community are to develop and play an active role in disaster preparedness village (community-based disaster preparedness).;The concept of disaster management nowadays is risk reductionsparadigm. Each individual, residents are introduced to various threats and vulnerabilities owned, as well as increased capacity in facing any threats. This study aims to assess the risk control model of ammonia gas dispersion. The designstudy was cross sectional using confirmatory factor analysis (CFA) as the measurement model and structural analysis. Validity and reliability value for Goodness of Fit (GOF) test is good fit for construct of the model. Questionnaires were distributed by cluster, there were626 respondents (risk area 0-2600 meters) divided into 293 and 333 respondents in the inner and outer zones (risk area >1300-2600 meters). Measurement model produces 5 directly interconnected exogenous variables (environmental, social, economic, biological and capacity condition) to form an endogenous variable risk of ammonia gas dispersion. Environmental conditions consist of danger zone and distance from home to road. Social factors consist of training and job. Economic factors consist of accommodation, salary, assurance and education. Capacity factors consist of hazard knowledge, early warning knowledge, evacuation knowledge and emergency response behavior.Biological factors consist of age >65 year old and family member with chronic disease and disability. The model goodness of fit test result was compatible for RMSEA, CFI, IFI, CN, SRMR, GFI and AGFI. It indicates that the models can describe the ammonia gas dispersion riskformed factors. Social factorscontribute61% of thetotalrisk ofammoniagasdispersion, related toeconomic factors(42%), capacityfactor(36%)andconditionfactor(5.7%). Riskdispersionof ammoniagasin thezoneindicateseconomic factorsaccounted for64% of thetotalrisk ofammoniagas dispersionincludingsocial(63%), capacity(57%) andbiology(2.3%). While theouterzone ofthe conditionfactor(99%) to be importantin the risk ofammoniagasdispersionandcapacity factor(1%). This study concludes dispersion risk modelsof ammonia gas in this study indicate risk factors that contribute to form ammonia gas dispersion to be a control effort by noticing the factors that contribute as following; recommend to the Regional Government to establish hazard maps into a legally binding regional regulations and enforcement of regulations on spatial (residential areas), safety standards (monitoring the use of technology) and the imposition of sanctions against offenders. Coordinate between work units (SKPD), Fire Department / Agency for Disaster Management (BPBD), and related agencies for evacuation (accommodation), the smooth evacuation route access. Organize socialization, xi education and training on disaster preparedness ammonia gas dispersion to the public through associations / organizations in the community. Recommendations to the company include: Creating a hazard map and Emergency Response Plan (ERP) both internally and externally; Perform routine maintenance with risk- based inspections to ensure equipment reliability ammonia refrigeration systems; All workers in the operational tank ammonia cooling system is always done by following the Standard Operating Procedure (SOP), safety rules, safety audits; Given the nature of ammonia gas that is colorless but highly toxic as well as the extent of the risk areas that impact the need for a sensor for ammonia gas as a means of measuring and monitoring. Further recommendations to the community are to develop and play an active role in disaster preparedness village (community-based disaster preparedness)., The concept of disaster management nowadays is risk reductionsparadigm. Each individual, residents are introduced to various threats and vulnerabilities owned, as well as increased capacity in facing any threats. This study aims to assess the risk control model of ammonia gas dispersion. The designstudy was cross sectional using confirmatory factor analysis (CFA) as the measurement model and structural analysis. Validity and reliability value for Goodness of Fit (GOF) test is good fit for construct of the model. Questionnaires were distributed by cluster, there were626 respondents (risk area 0-2600 meters) divided into 293 and 333 respondents in the inner and outer zones (risk area >1300-2600 meters). Measurement model produces 5 directly interconnected exogenous variables (environmental, social, economic, biological and capacity condition) to form an endogenous variable risk of ammonia gas dispersion. Environmental conditions consist of danger zone and distance from home to road. Social factors consist of training and job. Economic factors consist of accommodation, salary, assurance and education. Capacity factors consist of hazard knowledge, early warning knowledge, evacuation knowledge and emergency response behavior.Biological factors consist of age >65 year old and family member with chronic disease and disability. The model goodness of fit test result was compatible for RMSEA, CFI, IFI, CN, SRMR, GFI and AGFI. It indicates that the models can describe the ammonia gas dispersion riskformed factors. Social factorscontribute61% of thetotalrisk ofammoniagasdispersion, related toeconomic factors(42%), capacityfactor(36%)andconditionfactor(5.7%). Riskdispersionof ammoniagasin thezoneindicateseconomic factorsaccounted for64% of thetotalrisk ofammoniagas dispersionincludingsocial(63%), capacity(57%) andbiology(2.3%). While theouterzone ofthe conditionfactor(99%) to be importantin the risk ofammoniagasdispersionandcapacity factor(1%). This study concludes dispersion risk modelsof ammonia gas in this study indicate risk factors that contribute to form ammonia gas dispersion to be a control effort by noticing the factors that contribute as following; recommend to the Regional Government to establish hazard maps into a legally binding regional regulations and enforcement of regulations on spatial (residential areas), safety standards (monitoring the use of technology) and the imposition of sanctions against offenders. Coordinate between work units (SKPD), Fire Department / Agency for Disaster Management (BPBD), and related agencies for evacuation (accommodation), the smooth evacuation route access. Organize socialization, xi education and training on disaster preparedness ammonia gas dispersion to the public through associations / organizations in the community. Recommendations to the company include: Creating a hazard map and Emergency Response Plan (ERP) both internally and externally; Perform routine maintenance with risk- based inspections to ensure equipment reliability ammonia refrigeration systems; All workers in the operational tank ammonia cooling system is always done by following the Standard Operating Procedure (SOP), safety rules, safety audits; Given the nature of ammonia gas that is colorless but highly toxic as well as the extent of the risk areas that impact the need for a sensor for ammonia gas as a means of measuring and monitoring. Further recommendations to the community are to develop and play an active role in disaster preparedness village (community-based disaster preparedness).]

Abstrak :
Kandungan NH3-N dalam air limbah yang cukup tinggi jika dibuang ke badan air dapat menyebabkan eutrofikasi yang berdampak negatif terhadap ekosistem akuatik. Membrane aerated biofilm reactor MABR merupakan teknologi pengolahan air limbah yang mampu mengurangi konsentrasi NH3-N dalam air limbah domestik. Penelitian ini melakukan pengamatan mengenai kinerja penyisihan konsentrasi NH3-N dalam air limbah domestik menggunakan MABR. Air limbah domestik mengandung konsentrasi NH3-N sebesar 73 mg/l ndash; 104.8 0.12 kg NH3-N/m3.d - 0.24 kg NH3-N/m3.d dan COD sebesar 332 - 468 mg/l 0.56 kg COD/m3.d - 1.05 kg COD/m3.d . MABR disuplai oleh oksigen dengan tekanan sebesar 20 kPa dan penelitian dilakukan dengan tiga variasi waktu detensi HRT berbeda yaitu 8, 10, dan 12 jam. Setelah 33 hari, hasil menunjukkan rasio COD/N berkisar antara 3.9 ndash; 5.7 dengan maksimum efisiensi penyisihan COD dan NH3-N terjadi ketika HRT 12 jam yang mencapai, masing-masing 88 dan 89.58 . Hal ini mengindikasi, bahwa NH3-N dapat dihilangkan menggunakan MABR pada rasio COD/N yang rendah. Selan itu, bakteri autotrof yang berperan untuk mengoksidasi NH3-N menjadi NO2- da NO3- memiliki laju pertumbuhan yang lebih lambat dibandingkan dengan bakteri heterotrof. Sehingga, HRT yang semakin lama akan memberikan keuntungan untuk proses nitrifikasi dan efisiensi penyisihan NH3-N yang tinggi telah dapat tercapai. ......High concentration of NH3 N in wastewater discharges from Sewage Treatment Plant can causes eutrophication of the surface water that have the negative impacts for aquatic ecosystems. Membrane aerated biofilm reactor MABR has been proposed as a wastewater technology to reduce NH3 N concentration in domestic wastewater. This study observed the performance of NH3 N removal in domestic wastewater using MABR. Domestic wastewater contains concentration of NH3 N from 73 mg l to 104.8 mg l 0.12 kg NH3 N m3.d to 0.24 kg NH3 N m3.d and COD from 332 mg l to 468 mg l 0.56 kg COD m3.d to 1.05 kg COD m3.d . MABR was supplied by oxygen at pressure of 20 kPa and study performed for 3 hydraulic loading rate HRT variations, which were 8, 10, and 12 hours. After 33 days of running, the result showed COD N ratio were about 3.9 to 5.72 with maximum efficiency of COD and NH3 N removal occurred when HRT 12 hours, reached 88 and 89.58 respectively. This indicated, that NH3 N could removed by MABR at low COD N ratio. Furthermore, autrotrophs bacteria that responsible for oxidized NH3 N to NO2 and NO3 have slower growth rates compared with heterotrophs bacteria. Thus, the longer HRT provided benefit for nitrification process and high NH3 N removal efficiency has been achieved.