Articles
<![CDATA[Adaptation and mitigation strategies in the transportation sector to reduce the greenhouse gases emission in Batu City ]]>
<![CDATA[Lestari, Juwita Amanda]]>;
<![CDATA[Boedisantoso, Rachmat]]>;
<![CDATA[Assomadi, Abdu Fadli]]>
<![CDATA[ Sustinere: Journal of Environment and Sustainability Vol 2 No 3 (2018): pp 108 - 167 (December 2018) ]]>
Publisher : <![CDATA[Centre for Science and Technology, IAIN Surakarta ]]>
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DOI: 10.22515/sustinere.jes.v2i3.68
<![CDATA[The increased number of tourists in Batu City has resulted in traffic congestion, which led to the increase of emission contributing to GHGs effect and caused global warming. According to Presidential Regulation Number 71 of 2011, each region is required to conduct a national inventory of GHGs emission, in order to determine the appropriate adaptation and mitigation strategies in reducing the GHG emission. This research aimed to reduce the GHGs emission and to determine the appropriate adaptation and mitigation strategies in Batu City especially in the transportation sector. IPCC Guidelines 2006 was used as the method to calculate GHGs emissions. Such method allowed the researchers to determine the emission level by using secondary data obtained from the relevant institution. Determination upon adaptation and mitigation strategies was on the basis of several scenarios of emission level reduction while the prioritized strategy selection was based on the Analytical Hierarchy Process method. This research revealed that the GHGs emission with business as usual scenario in 2030 contributed by transportation reached 2,072.64 Gg of CO2 while the greatest reduction of GHG emissions amounted to -6.13% taken from the scenario of Intelligent Transport System application. More importantly, the researchers figured out that the prioritized adaptation strategies should be the improvement of Urban Open Space and public transportation rejuvenation for the mitigation.]]>
<![CDATA[Heat recovery from combustion Incinerator for Plastic Pyrolysis Process ]]>
<![CDATA[Susetyo, Septian Hadi]]>;
<![CDATA[Assomadi, Abdu Fadli]]>;
<![CDATA[Hermana, Joni]]>
<![CDATA[ Research of Environmental Science and Engineering Vol 1 No 1 (2020): Reseach of Environemntal science and Engineering ]]>
Publisher : <![CDATA[Research of Environmental Science and Engineering ]]>
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<![CDATA[This study was aimed to examine the utilization of incenerator heat for pyrolysis process. This research used an integrated incinerator-pyrolysis reactor with laboratory scale. The pyrolysis reactor was located in the an incinerator chamber. The dimensions of the pyrolysis chamber was 15 cm x 15 cm x 25 cm, and the dimensions of the incinerator chamber was 45 cm x 45 cm x 50 cm. Pyrolysis process used PP, PET and HDPE plastic, with the treatment of each type of plastic weighing 300 g. incinerator and pyrolysis chambers were equipped with type K thermocouple. The test parameters in this study were incinerator combustion temperatures, pyrolysis combustion temperature and pyrolysis product. The testing time was 120 minutes. The results of this study were incinerator combustion chamber temperatures fluctuating with the highest combustion chamber temperature was 739.4 0C and the highest temperature in the pyrolysis combustion chamber was 433.3 0C. The resulting pyrolysis products were oil, gas and char. The results of PP pyrolysis are 70.3% oil, 29.7% gas, and 0% char. PET pyrolysis results were 77.3% gas, 16% char and 6.7% oil.]]>
<![CDATA[Pemodelan Dispersi Debu Industri Semen di Kabupaten Tuban Jawa Timur ]]>
<![CDATA[Ardhi Rahmadhani]]>;
<![CDATA[Abdu Fadli Assomadi]]>;
<![CDATA[Joni Hermana]]>
<![CDATA[ Jurnal Teknik ITS Vol 6, No 2 (2017) ]]>
Publisher : <![CDATA[Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS ]]>
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DOI: 10.12962/j23373539.v6i2.23879
<![CDATA[Aktivitas industri semen menghasilkan emisi salah satunya berupa debu yang berpotensi menimbulkan pencemaran lingkungan. Persebaran debu di lingkungan dipengaruhi oleh faktor meteorologi dan musim. Dalam penelitian telah dianalisis kuantitas emisi debu dari cerobong industri semen dan pola sebarannya pada periode rata-rata musim kemarau dan musim hujan. Pola dispersi debu di area sekitar industri diestimasi menggunakan persamaan umum model Gauss. Karakteristik udara menggunakan data iklim dari stasiun meteorologi Juanda, periode pengamatan tahun 2016 sampai tahun 2017. Perhitungan konsentrasi ambien dilakukan pada setiap titik dengan perubahan 100 meter searah angin (sumbu–x) dan arah tegak lurus arah angin (sumbu-y) dari masing-masing titik cerobong. Semua hasil dianalisis dan digambarkan dalam peta kontur konsentrasi yang dioverlay pada peta wilayah penelitian. Hasil penelitian menunjukkan angin pada kondisi atmosfer rata-rata musim kemarau (bulan April hingga September) dominan ke arah timur dengan kondisi kelas stabilitas atmosfer B menghasilkan konsentrasi sebaran debu tertinggi adalah 444,26 µg/m3 sedangkan angin pada kondisi atmosfer rata-rata musim hujan (bulan Oktober hingga Maret) dominan ke arah barat dengan kondisi kelas stabilitas atmosfer C diperoleh konsentrasi sebaran debu tertinggi adalah 547,24 µg/m3.]]>
<![CDATA[Analisis Pola Kebisingan Akibat Transportasi di Sekitar Area Fasilitas Kesehatan Kota (Studi Kasus: RSUD dr. Soetomo Surabaya ]]>
<![CDATA[Pratama Heru Prasetyo]]>;
<![CDATA[Abdu Fadli Assomadi]]>
<![CDATA[ Jurnal Teknik ITS Vol 7, No 1 (2018) ]]>
Publisher : <![CDATA[Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS ]]>
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DOI: 10.12962/j23373539.v7i1.29148
<![CDATA[RSUD dr. Soetomo merupakan aset sangat penting di kota Surabaya sebagai salah satu fasilitas kesehatan kota dengan skala pelayanan tingkat provinsi. Lokasi RSUD dr. Soetomo berada di pusat aktifitas kota yang sangat dekat dengan fasilitas transportasi, perdagangan, pendidikan dan fasilitas lainnya. Padatnya area sekitar terutama dari aktivitas transportasi yang melalui empat ruas jalan di sekeliling RSUD dr. Seotomo mengakibatkan potensi tingginya kebisingan pada fasilitas kesehatan ini. Mengacu pada Keputusan Menteri Lingkungan Hidup RI No. 48 tahun 1996 tentang metode pemantauan dan baku tingkat kebisingan di area rumah sakit maka dilakukan penelitian kebisingan di kawasan sekitar RSUD dr. Soetomo. Hasil penelitian ini kemudian dikorelasikan dengan nilai ambang baku mutu kebisingan sesuai dengan nilai kebisingan maksimum di area rumah sakit. Data primer tingkat kebisingan diambil di beberapa titik lokasi di jalan raya sekitar area rumah sakit. Data-data diperoleh digunakan untuk menghitung nilai intensitas kebisingan ekivalen siang hari (Ls) dan malam hari (Lm), serta intensitas rata-rata kebisingannya per hari (Lsm) didapatkan nilai 73dB(A) . Nilai Lsm diolah menjadi peta kebisingan menggunakan software surfer dan dianalisis pola penyebaran kebisingan terutama dari sumber lalu lintas..]]>
<![CDATA[Penentuan Korelasi Perubahan Kecepatan Angin dan Kekuatan Radiasi Terhadap Ketinggian Lapisan Inversi dan Hubungannya Dengan Kualitas Udara Ambien Kota Surabaya ]]>
<![CDATA[Ni Putu Isana Wikandari]]>;
<![CDATA[Abdu Fadli Assomadi]]>;
<![CDATA[Rachmat Boedi Santoso]]>
<![CDATA[ Jurnal Teknik ITS Vol 4, No 1 (2015) ]]>
Publisher : <![CDATA[Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS ]]>
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DOI: 10.12962/j23373539.v4i1.8889
<![CDATA[Dispersi polutan pada udara ambien dipengaruhi oleh ketinggian lapisan inversi yang membatasi ruang mixing height di Kota Surabaya. Ketinggian lapisan inversi dipengaruhi oleh faktor meteorologi dan kestabilan atmosfer di suatu daerah. Tujuan dari penelitian ini adalah untuk menganalisis hubungan perubahan kecepatan angin dan kekuatan radiasi terhadap ketinggian lapisan inversi dan kualitas udara ambien di Kota Surabaya. Metode yang digunakan untuk analisis korelasi dalam penelitian ini adalah metode korelasi Pearson. Data ketinggian lapisan inversi didapatkan dari profil temperatur terhadap ketinggian hasil pengukuran radiosonde BMKG Juanda pada tahun 2009 hingga 2014. Analisis korelasi yang dilakukan diasumsikan dalam keadaan normal sehingga data yang digunakan adalah data hasil pelingkupan pada pukul 00.00 WIB dan 12.00 WIB dengan nilai persentil 10% dari tahun 2009 hingga 2014. Lapisan inversi pada Kota Surabaya kemungkinan merupakan lapisan subsidence inversion. Lapisan inversi tersebut memiliki korelasi berbanding terbalik pada pukul 00.00 WIB dan korelasi berbanding lurus pada pukul 12.00 WIB terhadap kecepatan angin, sedangkan untuk kekuatan radiasi tidak berkorelasi. Korelasi ketinggian lapisan inversi dengan kualitas udara ambien SO2 berbanding terbalik, namun tidak berkorelasi dengan NO2 dan O3.]]>
<![CDATA[Inventarisasi Fluktuasi Emisi Polutan NOx, CO2, dan CH4 di Bandar Udara Internasional Juanda Kabupaten Sidoarjo ]]>
<![CDATA[Afifah Raudloh Anni'mah]]>;
<![CDATA[Abdu Fadli Assomadi]]>;
<![CDATA[Joni Hermana]]>
<![CDATA[ Jurnal Teknik ITS Vol 7, No 1 (2018) ]]>
Publisher : <![CDATA[Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS ]]>
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DOI: 10.12962/j23373539.v7i1.29322
<![CDATA[Inventarisasi emisi dilakukan dengan mendaftar besaran polutan dari sumber pencemar dari sektor energi, yaitu transportasi on-road, transportasi off-road, dan sektor limbah yang meliputi limbah padat domestik dan limbah cair domestik. Rentang waktu invetarisasi adalah tahun 2006 hingga tahun 2016. Perhitungan menggunakan worksheet Atmospheric Brown Clouds (ABC) – Emission Inventory Manual (EIM) Excel 2013 dan worksheet IPCC 2006 Guidelines for National Greenhouse Gas Inventories (GL) Excel. Identifikasi menunjukkan NOX dan CH4 berasal dari pembakaran kurang sempurna pada transportasi on-road maupun off-road. Fluktuasi emisi sektor transportasi on-road sangat bergantung pada jenis kendaraan, sedangkan sektor transportasi off-road sangat bergantung pada tipe pesawat. Fluktuasi emisi sektor limbah padat domestik bergantung pada efisiensi pembakaran di insenerator, sedangkan faktor emisi limbah cair domestik bergantung pada bangunan pengolahan. Alternatif yang disarankan pada sektor off-road berupa menejemen LTO (kegiatan taxi). Pada transportasi on-road, yaitu realisasi pengadaan dan penggunaan kereta api.]]>
<![CDATA[PENGARUH PANJANG PIPA ALUMINIUM KONDENSATOR DAN KETEBALAN AIR PADA PERENCANAAN DISTILATOR TEPAT GUNA ]]>
<![CDATA[Abdu Fadli Assomadi]]>
<![CDATA[ Purifikasi Vol 9 No 2 (2008): Jurnal Purifikasi ]]>
Publisher : <![CDATA[Department of Environmental Engineering-Faculty of Civil, Environmental and Geo Engineering. Institut Teknologi Sepuluh Nopember, Surabaya ]]>
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DOI: 10.12962/j25983806.v9.i2.156
<![CDATA[Communities in coastal areas use rain water and ground water to meet the needs of clean water. Precipitation occurs only during the rainy season. The ground water is brackish because of seawater intrusion. This is a problem for this community. Therefore, appropriate water treatment technology is needed especially during the dry season. This research was aimed to measure the influence of the length of long aluminium condenser pipe and the water thickness to the brackish water distillation yield. Variables which were tested were water thickness of 0.5, 1 and 1.5 cm and the length of aluminium pipe condenser of 260, 320, and 380 cm. Two types of glass roofs of were applied. One roof was flat, and the other had an of angle 600. The results showed that the sloped roof produced the highest water volume, with an average of 1045 mL/m2. The percentage of condensate volume produced from distillator with pipe lengths of 260, 320, and 380 cm were 50%, 96%, and 98.3% respectively. Water thickness of 1 cm yielded the highest water volume of 1102.1 mL/m2. The highest distillation rate was 0.167 L/m2 hour.]]>
<![CDATA[PENGARUH DEBIT LIQUID TERHADAP EFISIENSI ABSORBSI DALAM PENYISIHAN SO2 PADA SPRAY TOWER ABSORBER ]]>
<![CDATA[Abdu Fadli Assomadi]]>
<![CDATA[ Purifikasi Vol 6 No 1 (2005): Jurnal Purifikasi ]]>
Publisher : <![CDATA[Department of Environmental Engineering-Faculty of Civil, Environmental and Geo Engineering. Institut Teknologi Sepuluh Nopember, Surabaya ]]>
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DOI: 10.12962/j25983806.v6.i1.269
<![CDATA[One technique to eradicate SO2 contaminant is gas absorbtion system with liquid, for instance Spray Tower Absorber. The research was performed to examine changes value pH adsorber and SO2 efficiency removal within 90 minutes using solar oil 100% with initial pressure of fuel tank = 60, 80 and 100 psi; and flow, water volume, nozzle = 3,5 and 7 L/minutes. Absorber used in this experiment was 0,0006% H2O2 solution. The result shows that pressure and flow absorber affect the absorbtion efficiency for real. Initiate pressure of fuel tank that was greater within time had caused the decrease of absorbtion efficiency faster. The value of pH absorber after being used for absorbtion within 90 minutes was approximately 6,79 because of the raw water buffer originated by acidity and hardness. For efficiency more than 70%, lowest pH absorber was on range 5,59-6,25 and total recirculation for flow 3 L/minutes was maximum 17 times, flow 5 l/minutes was 34 times and for 7 l/minutes was maximum 56 times of recirculation.]]>
<![CDATA[STUDI PENGARUH INTENSITAS ULTRAVIOLET PADA FOTOKATALIS TiO2 SEBAGAI REDUKSI NO2 DAN MIKROORGANISME DALAM SISTEM VENTILASI RUANG ]]>
<![CDATA[Tabah Suwasono]]>;
<![CDATA[Abdu Fadli Assomadi]]>
<![CDATA[ Purifikasi Vol 22 No 1 (2023): Jurnal Purifikasi ]]>
Publisher : <![CDATA[Department of Environmental Engineering-Faculty of Civil, Planning, and Geo Engineering. Institut Teknologi Sepuluh Nopember, Surabaya ]]>
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DOI: 10.12962/j25983806.v22.i1.441
<![CDATA[NO2 concentrations in vehicles or near highways are much higher than those measured on monitors in the current network. Some measurements in highway and terminal areas are reported to exceed the established quality standards although some areas of NO2 concentrations are below the quality standards but from surveys and data analysis show a risk quotient value of more than 1 indicating that it is not safe to be in the area for the next 30 years. One method to reduce NO2 concentration is titanium dioxide (TiO2) illuminated by UV, the presence of UV can be studied related to the reduction of microorganisms. The research was conducted with the study of ultraviolet intensity on TiO2 photocatalyst in reducing NO2 and UV intensity on microorganisms. The data taken is secondary data. This was followed by finding design criteria, followed by material selection. Dimensional calculations are carried out based on the material and criteria determined, then the estimated reduction efficiency on NO2 and microorganisms can be carried out and adjusted to the quality standards of PerMenKes No. 1077 of 2011. The estimation results show that the room ventilation design using an intensity of 75.8 mW/cm2 on TiO2 photocatalyst is able to reduce NO2 by at least 52.53% with an inlet concentration of 0.067 ppm. The use of an intensity of 75.8 mW/cm2 in the space ventilation design was able to reduce microorganisms with a UV D90 dose value below 238.77 J/m2. The space ventilation design is estimated to be sufficient to supply home room air under non-smoking conditions with NO2 reduction results according to the standard and close to microorganisms.]]>
<![CDATA[RANCANG BANGUN ALAT PEMANTAU KUALITAS UDARA DENGAN PEMANFAATAN IoT (INTERNET OF THINGS) BERBASIS MIKROKONTROLER MENGGUNAKAN SENSOR MQ-135 DAN MQ-136 PADA WILAYAH KABUPATEN PONOROGO (PARAMETER CO2 DAN SO2) ]]>
<![CDATA[Muhammad Irfanuddin Majiid]]>;
<![CDATA[Abdu Fadli Assomadi]]>
<![CDATA[ Purifikasi Vol 22 No 1 (2023): Jurnal Purifikasi ]]>
Publisher : <![CDATA[Department of Environmental Engineering-Faculty of Civil, Planning, and Geo Engineering. Institut Teknologi Sepuluh Nopember, Surabaya ]]>
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DOI: 10.12962/j25983806.v22.i1.444
<![CDATA[This study uses an Arduino Uno-based IoT air monitoring device with MQ-135 sensor and MQ-136 sensor. Arduino Uno is a microcontroller board based on ATmega328 (datasheet). It has 14 input pins of digital output where 6 of them can be used as PWM output and 6 analog input pins, 16 MHz crystal oscillator, USB connection, power jack, ICSP header, and reset button. To support the microcontroller to be used, the Arduino Uno Board is connected to a computer using a USB cable or electricity with an AC-to-DC adapter or battery to run it. The MQ-135 sensor type is one of the sensors that can detect CO2 gas levels. This sensor has low conductivity when placed in clean air. Then the MQ-136 sensor type is a sensor that has high sensitivity to SO2 gas, this sensor can also be used to detect other vapors containing sulfur gas. In both sensors there is a resistance value (Rs) that can change when exposed to gas and also a heater that is used to clean the sensor room from outside air contamination. The output of the two sensors is in the form of analog data. The ESP8266 is a Wi-Fi Smart on Chip (SoC) that is designed to be minimalist in size and uses very little external circuitry. The chip can communicate over wifi infrastructure using IPv4, TCP/IP, and HTTP protocols. The results of the MQ-135 and MQ-136 sensor readings on the microcontroller device show quite good values and also meet the existing quality standards. The MQ-135 sensor for CO2 gas readings has an average result of 314 ppm. The MQ-136 sensor for SO2 gas readings has an average value of 0.015 ppm. The working system on Android that is used uses the Blynk Apps application by making coding for LCD, LED, buzzer, and sensors that are connected to smartphones via wireless. The use of the value feature as real-time data has been able to monitor and provide air quality notifications via smartphone or email.]]>
