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"Rumah unggas adalah salah satu penyumbang polutan amonia dan PM di udara. Penyebaran polutan dipengaruhi oleh kipas dan kondisi meteorologi di sekitar rumah unggas. Model Dispersi Gauss untuk Gas (MDGG) dengan modifikasi titik semu merupakan model dispersi atmosfer yang cocok digunakan untuk memprediksi konsentrasi polutan dan mengakomodasi kondisi spasial rumah unggas. Steepest ascent adalah metode optimasi untuk mencari nilai maksimal dari fungsi umum nonlinear dengan menggunakan gradien fungsi untuk menentukan arah pergerakan pencarian nilai maksimal. Optimasi MDGG dengan metode steepest ascent memberikan hasil jarak titik semu optimal untuk polutan amonia L = 2,396 m dan polutan PM L = 1,259 m. Kedua nilai tersebut memberikan prediksi yang lebih baik di beberapa eksperimen. Prediksi konsentrasi PM lebih baik dari amonia dan hasil prediksi kedua polutan pada malam hari lebih baik dibandingkan pada pagi hari.

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Poultry houses are one of the contributors to ammonia and PM pollutants in the air. Fans and meteorological conditions around the poultry house influence the spread of pollutants. The Gaussian Plume Model with virtual point modification is an atmospheric dispersion model suitable for predicting pollutant concentrations and accommodating the spatial conditions around poultry houses. Steepest ascent is an optimization method for finding the maximum value of a general nonlinear function by using the gradient of the function to determine the direction of movement to find the maximum value. Gaussian Plume Model optimization using the steepest ascent method results optimal virtual point distances for pollutants ammonia L = 2.396 m and PM L = 1.259 m. Both values provide better predictions in some experiments. PM concentration prediction was better than ammonia, and prediction results for both pollutants at night were better than in the morning."

"Industri poultry merupakan salah satu industri di Indonesia yang memiliki fokus dalam ayam potong. Industri poultry mengalami kenaikan dalam permintaan dan untuk menjamin ketersediaan pasokan dan stabilisasi daging ayam ras diperlukan harga acuan yang mempertimbangkan harga pengiriman. Salah satu perusahaan industri poultry memiliki proses outbound logistics yang terdiri dari pengiriman dan penyimpanan. Pada bulan Oktober hingga Desember 2022, terjadi peningkatan permintaan dan juga biaya outbound logistics, dimana outbound logistics sendiri memiliki dua biaya yaitu biaya pengiriman dan biaya penyimpanan. Biaya Outbound logistics yang tinggi disebabkan oleh pemilihan dan perencanaan kendaraan yang masih belum optimal. Sehingga  diperlukan optimasi perencanaan outbound logistics yang lebih baik lagi. Penelitian ini melakukan pengembangan model optimasi untuk mengurangi biaya outbound logistics dengan metode mixed integer linear programming (MILP) menggunakan perangkat lunak LINGO. Hasil penelitian menunjukkan bahwa total biaya outbound logistics memiliki penurunan dari Rp451.364.739 menjadi Rp246.817.288. Penggunaan kendaraan juga mengalami penurunan dari 229 unit menjadi 89 unit. Sedangkan utilisasi kendaraan mengalami kenaikan dari 69% menjadi 96%.

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The poultry industry is one of the industries in Indonesia that has a focus on broiler chickens. The poultry industry has experienced an increase in demand and to ensure the availability of supply and stabilization of chicken meat, a reference price is needed that takes into account the shipping price. One of the poultry industry companies has an outbound logistics process which consists of shipping and storage. From October to December 2022, there was an increase in demand and also outbound logistics cost, where outbound logistics itself has two costs, namely shipping costs and storage costs. The high outbound logistics costs are caused by the selection and planning of vehicles that are still not optimal. So better optimization of outbound logistics planning is needed. This research develops an optimization model to reduce outbound logistics costs using the mixed integer linear programming (MILP) method using LINGO software. The results of the study show that the total cost of outbound logistics has decreased from IDR 451,364,739 to IDR 246,817,288. The use of vehicles also decreased from 229 units to 89 units. Meanwhile, vehicle utilization increased from 69% to 96%."

"Unit pemisahan amonia (Area 600) adalah tahap/bagian akhir dalam produksi amonia hijau dengan proses Haber-Bosch. Tujuan dari proyek desain ini adalah untuk mencapai amonia anhidrat cair sebagai produk akhir dengan kemurnian minimum 99,6%-wt dan tingkat produksi 5.000 ton/hari, dan akhirnya menyimpannya dalam tangki penyimpanan amonia yang harus efisien selama 20 hari sampai siap untuk dipindahkan ke kapal dermaga dan diekspor. Unit ini memiliki dua output lain juga, yang meliputi purged gases untuk mencegah akumulasi pada recycle stream, dan recycled gases ke reaktor di Area 500 untuk meningkatkan konversi amonia. Dengan menggunakan Aspen HYSYS, kami dapat mencapai amonia anhidrat cair dengan kemurnian 99,9% dan kapasitas produksi sebesar 5.200 ton/hari. Suhu dan tekanan aliran akhir masing-masing adalah -30 ° C dan 10 bar. Perkiraan energi yang dihasilkan adalah 3 – 5 Gigajoule/tonNH3. Peralatan unit ini yang meliputi heat exchanger, flash drum, storage tank dan lain-lain dirancang dengan standar yang layak, meskipun penelitian lebih lanjut harus dilakukan untuk beberapa peralatan sehingga mereka dapat beroperasi lebih memadai. Biaya modal yang diperoleh dari semua peralatan unit adalah $335,579,062.19. Selain itu, proses ini berhasil memenuhi emisi karbon dioksida nol bersih.

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Ammonia separation unit (Area 600) is the last stage/section in the production of green ammonia with the Haber-Bosch process. The objective of this design project is to achieve a liquid anhydrous ammonia as the final product with minimum purity of 99.6%-wt and production rate of 5,000 tonne/day, and finally store it in an ammonia storage tank which should be efficient for 20 days until it is ready to be transferred to a jetty ship and exported. This unit has two other outputs as well, which include purged gases to prevent any accumulation in recycle stream, and recycled gases to reactor in Area 500 to increase ammonia conversion. By using Aspen HYSYS, we are able to achieve a liquid anhydrous ammonia with purity of 99.9%-wt and production rate of 5,200 tonne/day. The temperature and pressure of the final stream are -30°C and 10 bar, respectively. The estimated energy is 3 – 5 Gigajoule/ton_NH3. The equipment of this unit that include heat exchanger, flash drum, storage tank and others are designed to a viable standard, although further research should be conducted for some of the equipment so that they can operate more adequately. The capital cost that is obtained from all the equipment is $335,579,062.19. In addition, the process successfully fulfills the net zero carbon dioxide emissions."

"Skripsi ini membahas tentang penyisihan amonia dari air limbah sintetis menggunakan kontaktor membran Super Hydrophobic. Berdasarkan Keputusan Kemen LH No.51/1995, amonia harus disisihkan dari air limbah karena amonia merupakan senyawa B3 yang dapat membahayakan biota perairan. Penggunaan kontaktor membran Super Hydrophobic digunakan sebagai media alternatif karena kemampuannya dalam memisahkan senyawa tanpa kontak langsung dan mempunyai ketahanan yang baik akan pembasahan yang terjadi baik oleh air limbah maupun larutan penyerap. Penelitian ini dilakukan dengan variasi konsentrasi amonia dalam air limbah, antara lain : 100, 200, 400 dan 800 ppm. Dari hasil penelitian didapatkan bahwa kontaktor membran Super Hidrofobik mampu menyisihkan amonia dengan efisiensi 100% untuk setiap variasi konsentrasi yang diujikan.

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This undergraduate thesis explain about ammonia removal from synthetic wastewater through membrane contactor Super Hydrophobic. Based on Regulation of Minister of Environment Republic of Indonesia No. 51 of 1995 ammonia must be removed from wastewater because it is inlcuded in toxic compound that can be dangerous in water ecosystem. The membrane contator Super Hydrophobic is used as alternative media because have better stability when wetted by wastewater and absorbent. This experiment is done with variety of feed concentration : 100, 200, 400 and 800 ppm. The result from the experiment show the ammonia removal efficieny is perfect for every variation (100%)."

"Efek dari amonia yang ditemukan pada air limbah telah mendorong pengembangan metode yang efisien untuk penyisihannya. Pada penelitian ini, kombinasi kontaktor membran serat berongga dan proses ozonasi digunakan untuk mencapai tujuan tersebut. Limbah amonia sebesar 120 ppm dan absorben mata air panas ciater yang mengandung sulfat digunakan dalam penelitian ini. Efek dari suhu umpan, yakni 30°C, 40°C dan 50°C pada efisiensi pemisahan dan perpindahan massa amonia diinvestigasi. OH- yang terbentuk dari OH radikal sebagai produk dari dekomposisi ozon membantu menjaga pH basa. Hasil penelitian menunjukkan bahwa peningkatan suhu umpan meningkatkan penyisihan amonia.. Kombinasi kedua proses ini dapat dikatakan efektif dalam menyisihkan 96% amonia pada suhu 50°C.

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The effects of ammonia which commonly found in wastewater streams have promoted the development of more efficient methods for their removal. In this study, polypropylene hollow-fiber membranes and ozonation process were used to achieve this purpose. Synthetic ammonium sulfate and Ciater spring water was used. The effects of feed temperature (30°C, 40°C and 50°C) on removal efficiency and the overall mass transfer of the ammonia were investigated. OH- which formed from OH radical as a product of ozone decomposition helps to maintain alkalinity of the system. Result shows that feed temperature has significant effect on ammonia removal. This combination process works to be very effective on ammonia removal from the synthetic waste water. For variated temperature on 30°C, 40°C and 50°C , the best result of ammonia removal is around 96 % on 50°C."

"Limbah amonia dinilai sebagai limbah beracun dan harus disisihkan sehingga kandungannya tidak boleh melebihi 5-10 ppm (Peraturan Kementrian Lingkungan Hidup RI No. 04 Tahun 1995). Penggunaan teknologi membran yang marak digunakan sebagai media penyisihan limbah pada industri mendorong penelitian ini untuk dapat menghasilkan pemisahan yang paling efektif apabila dibandingkan dengan metode pemisahan konvensional lainnya. Sebagai intensifikasi dari pemisahan digunakan kontaktor membran super hidrofobik untuk mencegah fouling yang disebabkan oleh pembasahan serat membran. Pada penelitian digunakan variasi pH 10, 11, dan 12 pada air limbah untuk mendapatkan pemisahan yang maksimum. Di akhir penelitian didapatkan bahwa pada pH 11 dan 12 amonia telah terhilangkan 100% dari larutan pada menit ke 120 dan 90, sementara itu pH 10 telah mencapai efektifitas 98.8% pada menit ke 120. Nilai ini menunjukkan bahwa pemisahan dengan membran super hidrofobik pada pH 11 dan 12 dapat mencapai pemisahan 100%.

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Waste ammonia assessed as toxic waste and must be set aside so that its content should not exceed 5-10 ppm (Ministry of Environment Regulation No. 04 of 1995). The use of membrane technology which is used as a separation medium on industrial waste encourage research to produce the most effective separation when compared to other conventional separation methods. As a process intensification of separation, we used super hydrophobic membrane contactor to prevent fouling of the membrane caused by membrane fiber wetting. In this research we used a pH variation of 10, 11, and 12 on the waste water to obtain maximum separation. At the end of the study showed that at pH 11 and 12 ammonia has been stripped away 100% of the solution at 120 and 90 minutes, while the pH of 10 has reached 98.8% effectiveness in minutes to 120. This value showed that separation with super hydrophobic membrane on waste water pH 11 and 12 can achieve perfect separation which reach 100%."

"[ABSTRAKKonsep 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 Daerahix(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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ABSTRACTThe 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 ofammoniagasdispersionincludingsocial(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,xieducation 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 ofammoniagasdispersionincludingsocial(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,xieducation 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 ofammoniagasdispersionincludingsocial(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,xieducation 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 ofammoniagasdispersionincludingsocial(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,xieducation 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).]"

"Industri peternakan unggas di Indonesia menjanjikan pasar yang sangat besar dan belum terpenuhi dengan baik, sehingga tingkat persaingan terns menerus mengalami peningkatan dari tahun ke tahun. PT XYZ yang menjadi salah satu pemain daiam industri ini mulai mengembangkan perusahaan mereka untuk dapat bersaing dan menjadi salah satu perusahaan terbesar di Indonesia. Bebernpa slrategi bisnis akan diformulasikan dan disesuaikan dengan falctor·faktor yang memengaruhl perusahaan, baik internal maupun ekstemal. Metode formulasi akan menggunakan IE Matrix, Grand Strategy Matrix, Product-Market Matrix dan Four Generic Competitive Strategies.

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Poultry industry in Indonesia has a very big market opportunity. therefore raises the degree of competition in this industry. PT XYZ will expand their business and improve their position in this industry with making the new strategy. Strategy formulation will using four tools. IE Matrix, Grand Strategy Matrix, Product­ Market Matrix and Four Generic Competitive Strategies. The results of the analysis are using the Tapered Vertical Integration, Product Development and Focused Differentiation."

"Senyawa amonia seringkali ditemukan dalam jumlah yang cukup besar pada air permukaan yang dapat membahayakan manusia dan lingkungan apabila tidak diolah secara tepat. Penelitian ini merupakan studi tentang metode kavitasi hidrodinamika menggunakan orifice plate untuk mendegradasi amonia pada limbah cair sintetik. Larutan amonia disirkulasikan menggunakan pipa biasa lalu dilakukan kuantifikasi senyawa pengoksidasi dengan titrasi KMnO4 melalui variasi jumlah lubang orifice plate (6, 8 dan 17 lubang). Degradasi amonia dilanjutkan dengan variasi pH awal (4, 7 dan 10) dan variasi konsentrasi awal (10 mg/L, 25 mg/L dan 50 mg/L). Hasil persentase penyisihan amonia dengan pipa biasa sebesar 4,85%, orifice plate 17 lubang memproduksi senyawa pengoksidasi paling banyak, yaitu 39,95 mg/L dan amonia terdegradasi optimum pada pH 10,10 menggunakan orifice plate 17 lubang dengan konsentrasi awal 50 mg/L, yaitu sebesar 22,5 %.

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Ammonia compound is often found in large numbers on the surface water that can harm humans and the environment if not treated appropriately. This research is a study of hydrodynamic cavitation method using orifice plate to degrade ammonia in synthetic wastewater. Ammonia solution was circulated using pipe and then tested the productivity of oxidizing compounds using permanganate titration by varying the orifice plate number of holes (6, 8 and 17 holes). Furthermire, degradation of ammonia followed by variations of initial pH (4, 7 and 10) and variation of initial concentration (10 mg/L, 25 mg/L and 50 mg/L). The results showed that the circulation using pipe can degrade ammonia by 4.85%, orifice plate with 17 hole produces most oxidizing compound which is 39,95% and ammonia is best degraded at pH 10,10 using orifice plate 17 holes with initial concentration 50 mg/L which is 22,5%."

"Saat ini dibutuhkan perubahan atau inovasi dalam pembuatan amonia yang lebih ramah lingkungan dan mengurangi penggunaan bahan bakar fosil. Salah satu alternatifnya yaitu dengan memanfaatkan konsep reduksi fotoelekrokimia menggunakan material semikonduktor TiO2. Pada penelitian ini, dilakukan modifikasi TiO2 Nanotube Array (TNA) melalui metode anodisasi, dan dilanjutkan dengan reduksi secara elektrokimia untuk mendapatkan spesi TiO2 dengan populasi Ti3+ yang diperkaya (Blue TiO2 dan Black TiO2), disertai variasi annealing yang berbeda untuk mempelajari pengaruhnya terhadap morfologi dan karakteristik fotoelektrokimia. Selanjutnya dilakukan evaluasi kinerja White TiO2, Blue TiO2 dan Black TiO2 Nanotube Array (TNA) sebagai elektroda pada sistem fotoelektrokimia untuk konversi N2 menjadi amonia. Hasil penelitian menunjukkan modifikasi TiO2 dengan metode self-doping menghasilkan blue TiO2 dan black TiO2 Nanotube Array (TNA) yang memiliki morfologi dan aktivitas fotoelektrokimia lebih baik berdasarkan hasil karakterisasi yang diperoleh dengan adanya spesi Ti3+ dan oxygen vacancy yang terbentuk. Berdasarkan karakterisasi FTIR intensitas Ti-O-Ti semakin berkurang akibat semakin banyaknya spesi Ti3+ dan oxygen vacancy. Hal ini mempengaruhi pergeseran band gap dari 3,2 eV menjadi <3,2 eV. Selain itu, Lama waktu annealing mempengaruhi aktivitas fotoelektrokimia dari White TiO2, Blue TiO2 dan Black TiO2 Nanotube Array (TNA). semakin lama waktu annealing semakin banyak spesi Ti3+ yang terbentuk sehingga meningkatkan aktivitas fotoelektrokimia. namun jika melewati batas maksimum Ti3+ akan ter-reoksida kembali dan menurunkan aktivitas fotoelektrokimia. Berdasarkan hasil XRD waktu anneling tidak secara signifikan mempengaruhi fasa kristal, namum mempengaruhi ukuran kristal. Photocurrent tertinggi diperoleh pada Blue TiO2 dengan densitas arus sebesar 0,0301 mA/cm-2 pada penyinaran sinar UV. Onset potensial OER paling rendah dan onset potensial HER, NRR paling tinggi didapatkan pada Blue TiO2. Pada pengaplikasian konversi N2 menjadi amonia menggunakan sistem PEC dengan fotoanoda Black TiO2 Sedangkan untuk katoda gelap menggunakan White TiO2 waktu anneling 4 jam, Blue TiO2 waktu anneling 2 jam dan Black TiO2 waktu anneling 2 jam pada kondisi penerangan gelap-gelap dan gelap terang dikedua kompartemen. Dari hasil karakterisasi dan aplikasi konversi reduksi N2 menjadi amonia, didapatkan kesimpulan Blue TiO2 memiliki performa atau kinerja yang lebih baik dari black TiO2 dan White TiO2 sebagai elektroda pada sistem fotoelektrokimia untuk konversi N2 menjadi amonia karena memiliki spesi Ti3+ dan oxygen vacancy lebih banyak. Dengan menghasilkan amonia sebesar 0,06413 μmol/h cm2 dengan waktu anneling 2 jam pada kondisi penerangan gelap-gelap di kedua sisi. Hal ini menunjukkan semakin banyaknya spesi Ti3+ dan oxygen vancancy yang terbentuk, semakin efektif untuk konversi nitrogen menjadi amonia.

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Currently, changes or innovations are needed in the manufacture of ammonia that is more environmentally friendly and reduces the use of fossil fuels. One alternative is to utilize the concept of photoelectrochemical reduction using a TiO2 semiconductor material. In this study, a modification of the TiO2 Nanotube Array (TNA) was carried out by anodizing method, followed by electrochemical reduction to obtain TiO2 species with enriched Ti3+ populations (Blue TiO2 and Black TiO2), with different variations of annealing to study their effect on morphology and characteristics. photoelectrochemistry. Furthermore, the performance evaluation of White TiO2, Blue TiO2 and Black TiO2 Nanotube Array (TNA) as electrodes in the photoelectrochemical system for the conversion of N2 to ammonia was carried out. The results showed that modified TiO2 using the self-doping method produced blue TiO2 and black TiO2 Nanotube Array (TNA) which had better morphology and photoelectrochemical activity based on the characterization results obtained in the presence of Ti3+ species and the formed oxygen vacancy. Based on the FTIR characterization, the intensity of Ti-O-Ti decreases because there are more Ti3+ species and empty oxygen. This affects the shift in the band gap from 3.2 eV to <3.2 eV. In addition, annealing time affects the photoelectrochemical activity of White TiO2, Blue TiO2 and Black TiO2 Nanotube Array (TNA). The longer the time, the more Ti3+ species formed, thereby increasing the photoelectrochemical activity. However, if it exceeds the maximum limit, Ti3+ will be re-oxidized and reduce the photoelectrochemical activity. Based on the results of XRD annealing does not significantly affect the crystal phase, the amount of time that affects the crystal size. The highest photocurrent was obtained on Blue TiO2 with a current density of 0.0301 mA/cm- 2 under UV irradiation. The lowest OER onset potential and HER potential onset, the highest NRR was found in Blue TiO2. In the application of the conversion of N2 to ammonia using a PEC system with a Black TiO2 photoanode. Meanwhile, for the dark cathode, White TiO2 annealed time is 4 hours, Blue TiO2 annealed time is 2 hours and Black TiO2 annealed time is 2 hours in dark and light conditions in both compartments. From the results of the characterization and application of the conversion of N2 to ammonia reduction, it was concluded that Blue TiO2 has better performance or performance than Black TiO2 and White TiO2 as electrodes in a photoelectrochemical system for the conversion of N2 to ammonia because it has Ti3+ species and more oxygen vacancies. By producing ammonia of 0.06413 mol/h cm2 with an anneling time of 2 hours under dark lighting conditions on both sides. This shows that the more Ti3+ and oxygen vancancy species formed, the more effective it is to convert nitrogen into ammonia."