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<![CDATA[Evaluation of Drainage System for Inundation Problems at Subdistricts of Lowokwaru, Malang City ]]>
<![CDATA[Hermawan, Wirda Pratomo Bagus]]>;
<![CDATA[Mardyanto, Mas Agus]]>
<![CDATA[ IPTEK Journal of Proceedings Series No 5 (2019): The 1st International Conference on Business and Management of Technology (IConBMT) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23546026.y2019i5.6444
<![CDATA[Malang is a city in East Java with the level of development of rapid settlement areas, the region has grown in areas of land rainwater. The consequence of this development is the emergence of some new inundation in urban areas, one of them in Subdistrict Lowokwaru. Carrying amount inundation problems that occurred during 2018 in the Subdistrict Lowokwaru 4 times. Largely due to the drainage conditions are not maintained and are filled with trash and sediment. The conditions resulted in reduced sewer capacity and are not able to drain rainwater discharge and wastewater. Evaluation of the drainage system in subdistrict Lowokwaru includes analysis of technical and economic. On the technical aspects, hydrology and hydraulic analysis are carried out and evaluates sewer capacity. Economic aspects discuss the funding costs and maintenance operations of the drainage system management, as well as discuss the analysis of feasibility studies by calculating Benefit Cost Ratio and Net Present Value. The analysis showed that there are 21 sewers in condition without sediment that capacity is insufficient and 23 sewers in conditions with sediment are not met or sewer capacity is not technically eligible. It is necessary for a handling plan as an attempt to deal with the sewer capacity to drain the runoff discharge. The evaluation of economic aspects shows that the activity of handling inundation problems in the drainage system in Subdistrict Lowokwaru is feasible. This can be seen from the value of the B / C ratio is 1.83 (greater than 1) and the NPV value is positive]]>
<![CDATA[Forward Problems Solving of Groundwater Flow using Stochastic Groundwater Vistas Method ]]>
<![CDATA[Pramudita Triatmojo]]>;
<![CDATA[Mas Agus Mardyanto]]>
<![CDATA[ Jurnal Lahan Suboptimal : Journal of Suboptimal Lands Vol. 10 No. 2 (2021): JLSO ]]>
Publisher : <![CDATA[Research Center for Sub-optimal Lands (PUR-PLSO), Universitas Sriwijaya ]]>
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DOI: 10.36706/jlso.10.2.2021.525
<![CDATA[In the forward problems, the hydraulic head value can be found by knowing the value of the groundwater parameter. Parameters of groundwater such as hydraulic conductivity, vary over space due to the variation of aquifer properties. Consequently, it is difficult or almost impossible to treat these kinds of variability by a deterministic approach because there is no exact value to be used as input for a parameter. The objective of this research was to obtain a mathematical model of groundwater flow made with the Groundwater Vistas Program that is in accordance with the physical model. Mathematical modeling of groundwater flow using the Groundwater Vistas Program with a stochastic approach and Monte Carlo simulation method where the input data (hydraulic conductivity, hydraulic head) is obtained from the physical model. Results showed that the sum of squares value from the scatter plot diagram of all realization points had a very small value (close to or even zero). The residual mean diagram showed the error value of all realizations had a very low value close to zero. The calculated head value (computed) compared with the results of the observation had a fairly small difference value (ranging from 0.0006−0.009 m). These results were considered quite good because in modeling it is impossible to get modeling results that are exactly the same as those being modeled. The results show that Groundwater Vistas can be used for modeling with very small errors and it can estimate values of hydraulic heads quite well.]]>
<![CDATA[Evaluasi Timbulnya Genangan Pada Catchment Area Sistem Pematusan Greges Yang Dilayani Rumah Pompa Greges Di Rayon Genteng Surabaya ]]>
<![CDATA[Januar Catur Putranto]]>;
<![CDATA[Mas Agus Mardyanto]]>
<![CDATA[ Jurnal Teknik ITS Vol 5, No 2 (2016) ]]>
Publisher : <![CDATA[Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS ]]>
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DOI: 10.12962/j23373539.v5i2.17444
<![CDATA[Sistem Pematusan dengan luas total 1520 ha. yang dilayani oleh Rumah Pompa Greges mempunyai 1 saluran primer yaitu saluran primer Kali Greges. Saluran primer Kali Greges dengan panjang mencapai 4-5 km dan lebar 12-22 meter merupakan muara dari 17 saluran sekunder. Selain rumah pompa Greges yang melayani saluran primer Kali Greges, terdapat 3 rumah pompa yaitu rumah pompa Dupak Bandarejo yang melayani saluran sekunder Kali Dupak, rumah pompa Asem Jaya yang melayani saluran tersier Kali Asem Jaya, serta rumah pompa Tidar di saluran tersier Petemon Kali yang tidak di operasikan lagi. Variabel penelitian yang digunakan yaitu kapasitas pompa, debit aliran ke saluran primer, dan debit aliran ke saluran sekunder. Metode yang digunakan yaitu dilakukan perhitungan hidrolika untuk mengetahui debit saluran rencana dan debit eksisting. Selain itu, dilakukan perbandingan terhadap kapasitas pompa saat ini dan kapasitas awal serta dilakukan analisis terhadap Standard Operating Procedure (SOP) pengoperasian pompa. Hasil evaluasi ini menunjukkan kondisi eksisting 5 segmen saluran sekunder yaitu Kali Tembok Gede, Kali Semarang, Kali Margo Rukun, Kali Demak Timur, dan Kali Dupak tidak mampu melayani debit limpasan air hujan yang disebabkan karena adanya sedimen. Selain itu, juga tidak adanya Standard Operating Procedure (SOP) pengoperasian pompa secara tertulis, sehingga menyebabkan terjadinya genangan dengan luas total genangan 5,71 ha dengan lama waktu genangan maksimum 240 menit dan tinggi genangan maksimum 40 centimeter pada tanggal 16 April 2016 yang merupakan salah satu genangan terbesar di catchment area Sistem Pematusan Greges.]]>
<![CDATA[Perencanaan Sistem Penampung Air Hujan Sebagai Salah Satu Alternatif Sumber Air Bersih di Rusunawa Penjaringan Sari Surabaya ]]>
<![CDATA[Fairuz Nadia]]>;
<![CDATA[Mas Agus Mardyanto]]>
<![CDATA[ Jurnal Teknik ITS Vol 5, No 2 (2016) ]]>
Publisher : <![CDATA[Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS ]]>
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DOI: 10.12962/j23373539.v5i2.19035
<![CDATA[Di Surabaya, ada banyak Rusunawa (apartemen sewa untuk masyarakat berpenghasilan rendah hingga menengah). Air bersih untuk penggunaan kebutuhan sehari-hari di Rusunawa diperoleh dari PDAM Surabaya. Biaya untuk konsumsi air yang dibayarkan oleh penyewa dianggap terlalu mahal karena penyewa sebagian besar memiliki pendapatan rendah atau menengah. Oleh karena itu, sumber lain untuk air bersih yang murah dan mudah perlu dipertimbangkan. Pemanenan air hujan (PAH) adalah salah satu alternatif yang dapat dipertimbangkan karena Surabaya merupakan daerah dengan curah hujan yang cukup tinggi. Tugas akhir ini akan membahas potensi air hujan sebagai sumber air bersih alternatif di Rusunawa. Air hujan dikumpulkan dari atap rusunawa tersebut. Kualitas air hujan dianalisis di laboratorium. Jumlah air hujan dihitung berdasarkan curah hujan rata-rata berdasarkan data selama sepuluh tahun. Air hujan yang dikumpulkan mengalir ke reservoir tanah yang ada serta yang baru sebelum didistribusikan kepada penyewa. Air hujan yang dikumpulkan secara umum memenuhi standar kualitas yang tercantum dalam Keputusan Menteri Kesehatan Nomor 42 Tahun 2010. Namun, kualitas air hujan agak sedikit asam; oleh karena itu, perlu dicampur dengan air PDAM. Air hujan dari atap setiap blok Rusunawa dikumpulkan di reservoir yang ada. Berdasarkan jumlah air hujan yang ditampung, total biaya untuk perencanaan ini sekitar Rp 558.930.070. Adapun prosentase penghematan terhadap pemakaian air PDAM selama 1 bulan untuk masing-masing blok A = 17,18% ; blok B = 16,84% ; blok C = 16,51% ; blok DA = 19,10% ; blok DB = 17,02% ; blok EA = 16,50% ; blok EB = 17,56% ; blok FA = 19,69% dan blok FB = 17,56%.]]>
<![CDATA[Study of Drinking Water Production in Water Treatment Plant “X” using Hazard Analysis Critical Control Point Method ]]>
<![CDATA[Meralda Rose Dewi]]>;
<![CDATA[Nieke Karnaningroem]]>;
<![CDATA[Mas Agus Mardyanto]]>
<![CDATA[ IPTEK Journal of Proceedings Series No 5 (2019): The 1st International Conference on Business and Management of Technology (IConBMT) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23546026.y2019i5.6313
<![CDATA[Water Treatment Plant (WTP) “X” consists of intake, aerator, pre-sedimentation, coagulation, clearator, filter and reservoir. In the production of drinking water, several problems are encountered that threaten the process. These constraints affect the production target in regard to quality. Minister of Health Regulation No. 492 of 2010 about Requirements for Quality of Drinking Water stated every drinking water provider is obliged to guarantee the drinking water it produces is safe for human health, meeting the quality standards of physical, chemical and biological parameters. This study used Hazard Analysis Critical Control Point method. Hazard Analysis is an analytical method to identify the presence of hazards and risks in the supply production chain so the control management can be established. The existence of hazards in production process will cause losses in terms of economics and also customer trust. This method reviewed based on laboratory results of water quality and the existing conditions of operational in production process. The analysis and evaluation of its existing conditions using HACCP method generates information that the biggest source of risk that affects the quality of production is found in the operations of each processing unit and fluctuations of its debit. The corrective actions that can be taken to prevent the occurrence of failures in the production system are improving the performance of the water treatment units, discharge settings according to unit capacity, there must be modification of the flocculation and aeration process, also improvement of workers' insights regarding water quality in accordance with SNI 01-4852-1998.]]>
<![CDATA[Evaluasi Timbulan Genangan di Catchment Area Sistem Pematusan Rumah Pompa Greges Rayon Genteng Surabaya ]]>
<![CDATA[Januar Catur Putranto]]>;
<![CDATA[Mas Agus Mardyanto]]>;
<![CDATA[Adhi Yuniarto]]>
<![CDATA[ IPTEK Journal of Proceedings Series No 5 (2017): Simposium I Jaringan Perguruan Tinggi untuk Pembangunan Infrastruktur Indonesia (2016) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23546026.y2017i5.3125
<![CDATA[Sistem pematusan dengan luas total 1520 ha yang dilayani oleh Rumah Pompa Greges mempunyai 1 saluran primer yaitu saluran primer Kali Greges. Kali Greges dengan panjang 4-5 km dan lebar 12-22 meter merupakan muara dari 17 saluran sekunder. Selain rumah pompa Greges yang melayani Kali Greges, terdapat 3 rumah pompa lainnya yaitu rumah pompa Dupak Bandarejo melayani saluran sekunder Kali Dupak, rumah pompa Asem Jaya melayani saluran tersier Kali Asem Jaya, serta rumah pompa Tidar di saluran tersier Petemon Kali yang tidak dioperasikan lagi. Variabel studi yang digunakan yaitu kapasitas pompa, debit aliran ke saluran primer, dan debit aliran ke saluran sekunder. Metode yang digunakan yaitu melakukan perhitungan hidrolika untuk mengetahui debit saluran rencana dan debit eksisting. Dilakukan juga perbandingan kapasitas pompa saat ini dan kapasitas awal serta dilakukan analisis terhadap Standard Operating Procedure (SOP) pengoperasian pompa. Hasil evaluasi ini menunjukkan kondisi eksisting 5 segmen saluran sekunder yaitu Kali Tembok Gede, Kali Semarang, Kali Margo Rukun, Kali Demak Timur, dan Kali Dupak tidak mampu melayani debit limpasan air hujan yang disebabkan karena adanya sedimen. Selain itu, juga tidak adanya SOP pengoperasian pompa secara tertulis, yang menyebabkan terjadinya genangan dengan luas total genangan 5,71 ha dengan lama waktu genangan maksimum 240 menit dan tinggi genangan maksimum 40 centimeter pada tanggal 16 April 2016 yang merupakan salah satu genangan terbesar di catchment area sistem pematusan Greges. ]]>
<![CDATA[Risk Management of Wastewater Treatment in the Wastewater Treatment Plant of PT. X ]]>
<![CDATA[Fauziah Raya Shinta]]>;
<![CDATA[Nieke Karnaningroem]]>;
<![CDATA[Mas Agus Mardyanto]]>
<![CDATA[ IPTEK Journal of Proceedings Series No 5 (2019): The 1st International Conference on Business and Management of Technology (IConBMT) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23546026.y2019i5.6292
<![CDATA[The economic rise as much as 5.5% in East Java region in the first quarter of 2018 compared to the first quarter of 2017, was due to the main supporting factor of an increase in the number of industries. An increase in industry has the potential to cause environmental pollution, especially in water bodies as evidenced by an index of water quality conditions for East Java rivers that now stands on Class II. Currently, PT. X in East Java is working on the expansion of its company. This study aims to identify the risks of wastewater treatment of PT. X using the fishbone analysis method and determine the priority of failures that must be handled using the FMEA method.For research purposes, two types of data are used, namely secondary and primary data. Secondary data includes flow chart of wastewater treatment, wastewater quality report and standard operating procedures. Meanwhile, the primary data for the quality of wastewater treatment was obtained through sampling, which was carried out at each wastewater treatment unit as well as the results of questionnaire with direct interviews. From those two types of data, an analysis of the potential occurrence of risk arises by using a fishbone analysis diagram. The risk results obtained through fishbone analysis are then processed using the Failure Mode and Effects Analysis (FMEA) method to obtain a Risk Priority Number (RPN). Then, the results of risk analysis from fishbone analysis are assessed into a priority of failures, expressed in Risk Priority Number (RPN).Based on the analysis of research data, it was concluded that the problem that occurred in wastewater treatment was inefficient wastewater treatment. The inefficient process was caused by the WWTP design conditions that were greater than the inlet discharge. Based on the results of data processing using the FMEA method, it was found that the largest RPN value was 125]]>
<![CDATA[Study of Company X Mineral Water Production System by Using Hazard Analysis Critical Control Point Method ]]>
<![CDATA[Made Urmylla Lyyasintha Sunaya]]>;
<![CDATA[Nieke Karnaningroem]]>;
<![CDATA[Mas Agus Mardyanto]]>
<![CDATA[ IPTEK Journal of Proceedings Series No 5 (2019): The 1st International Conference on Business and Management of Technology (IConBMT) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23546026.y2019i5.6412
<![CDATA[Drinking water is human essential need. However, there are so many contaminants contained in drinking water sources. One of the solutions to overcome this issue is using technology to produce clean drinking water which called mineral water. Mineral water industries come to understand that maintaining quality is the fundamental principle to increase sales. One of the mineral water industries in Indonesia is company X. Yet it does not have a thorough management and supervision method to control the product quality. The quality management and supervision method is used only on several aspects of production and after acquiring customer complaints. This emerges the need of company x to form an applicable, comprehensive, and standardized management system. To produce high-quality mineral water, company X can apply HACCP method. HACCP (Hazard Analysis Critical Control Point) is a system used for measuring risks and determine the control system that focused on prevention. There are five primary principles in HACCP method. Accordingly from this analysis, maintaining the unit performance, adding more detailed SOPs, and employee knowledge enhancement are the main focused of HACCP method in company X. Therefore, HACCP is a suitable method to monitor company X production system and increase the product quality]]>
<![CDATA[Study of Karangpilang II Water Production Quality Control Using Statistical Process Control (SPC) ]]>
<![CDATA[Neneng Amel Hizni’am]]>;
<![CDATA[Nieke Karnaningroem]]>;
<![CDATA[Mas Agus Mardyanto]]>
<![CDATA[ IPTEK Journal of Proceedings Series No 5 (2019): The 1st International Conference on Business and Management of Technology (IConBMT) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23546026.y2019i5.6332
<![CDATA[IPAM Karangpilang’s water quality has fluctuated and there are several parameters whose quality is not in accordance with the quality standard. Therefore, IPAM Karangpilang II needs to carry out quality control to maintain the quality of drinking water products according to the applicable quality standards. This research aims to analyze the application of the quality control system for drinking water products at IPAM Karangpilang II and look for the causes of decreasing production water quality at IPAM Karangpilang II. So that alternative improvements can be determined to maintain drinking water quality at IPAM Karangpilang II. Quality control method in this study using Statistical Process Control (SPC). Analysis were using primary data on drinking water quality starting from March to April 2019. Measurement parameters used include pH, Total Dissolved Solid (TDS), Turbidity, and Organic matter. Determination of a process controlled using control chart and then implemented using a fishbone diagram to determine the factors that result in decreased production of water quality. Control charts are in a statistically uncontrolled condition on the pH parameters in the clearator and filter units, Total Dissolved Solid (TDS) parameters on the clearator unit, turbidity parameters in the pre-sedimentation unit, clearator and filter, and organic matter parameters in pre-sedimentation and filter units. While in the production of water control chart in a state of uncontrolled statistically in the turbidity. Based on the fishbone diagram, factors that cause the control chart to be in an uncontrolled condition are that the overflow rate clearator does not appropriate with design criteria, technical errors such as clogging of the tube settler on the clearator, congestion coagulant pump stagnation, tube settler replacement in the clearator, seldom using coagulant dosage , decrease in the quality of raw water in the parameters of organic matter and raw water conditions that fluctuate due to the rainy season]]>
<![CDATA[Surface Groundwater Pollution Dynamics Over 2015-2020 in the Salt Drying Pond of Pademawu Subdistrict, Madura, Indonesia ]]>
<![CDATA[Wisnu Arya Gemilang]]>;
<![CDATA[Ulung Jantama Wisha]]>;
<![CDATA[Mas Agus Mardyanto]]>
<![CDATA[ Geosfera Indonesia Vol 7 No 1 (2022): GEOSFERA INDONESIA ]]>
Publisher : <![CDATA[Department of Geography Education, University of Jember ]]>
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DOI: 10.19184/geosi.v7i1.28898
<![CDATA[Pamekasan coastal area is the center of salt production concentrated in the Pademawu subdistrict with the ponds area of 740.96 ha. The sufficiently close distance of salt ponds to settlement areas allows several issues, such as shallow groundwater salinization. This study aimed to determine the salt pond’s degradation over five years (2015-2020) and its influence on the salinization issue in Pademawu. We compare groundwater quality parameters (conductivity, TDS, the depth of shallow surface groundwater, and salinity) surveyed in 2015 and 2020, correlated to salt pond area alterations. Over five years of measurement, it was found that conductivity declined, reaching 2779.94 µS/cm. Based on TDS deterioration, groundwater transformed from brackish to freshwater in 2020. By contrast, the depth of shallow groundwater-surface increased by almost one meter. The freshwater area also increased by 22% over five years based on conductivity classification. Groundwater quality dynamics are related to the alteration of the salt pond area. On the other hand, the significant increase in rainfall intensity, which is not beneficial for salt agriculture, results in the salt pond area deterioration, thereby declining surface groundwater salinity in Pademawu due to the less interaction between Cl and groundwater within aquifers. Although the groundwater pollution induced by seawater intrusion and salinization declined in 2020, re-organizing the distance between salt ponds and the settlement area in Pademawu is crucial to minimize further groundwater pollution. Keywords : Dynamics; pollution; groundwater; salt agriculture; Pademawu Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License]]>
