Semarang, Indonesia

Diponegoro University

www.undip.ac.id
Semarang, Indonesia

Diponegoro University is a public university located in Semarang, Central Java, Indonesia. Founded in 1957 as a private university by the Semarang University Foundation, it is a pioneer of higher learning institutions in Indonesia and the first and oldest education corporation in Central Java. It is a member of IDGHE in Indonesia. Wikipedia.

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The Indonesia's National Committee on Large Dams (INACOLD) and the Directorate General of Water Resources Ministry of Public Works and Housing held the National Seminar on Large Dams 2017 entitled "Dams as Drought and Flood Control Infrastructure" on 16-18 May 2017. Around 413 dam experts and enthusiasts attended the seminar to formulate 37 papers as recommendations to the government to improve human resources quality, particularly among the certificated dam experts. "The program aims to attract a wide range of people from different universities and communities to actively participate in the dam-building process. Indonesian government, through the Directorate General of Water Resources sets priority to complete 65 new dams by 2019. However, we don't have enough expertise, especially the younger ones. In consequence, an expert may handle more than one dam which is not recommended. Therefore, the government through the Ministry of Public Works and Housing, requires the human resources regeneration to accomplish the target," said Imam Santoso, Director General of Water Resources. Now Indonesia has 230 dams with a capacity of 12,4 billion m3/year. Thus, the number Is only able to irrigate 11% of 7,2 million hectares of agricultural land in Indonesia, or less than 900 thousand hectares. Whether the government completes the 65 dams, the capacity will increase to 16,8 billion m3/year and it will guarantee water supply to 1,4 hectares of agricultural land. "Moreover, irrigation dams can also increase agricultural production, at least twice as much as is currently farmed. For instance, the cropping pattern in rainfed agriculture is usually once a year. With the dam, it can be done at least twice a year," said Basuki Hadimuljono, Indonesian Minister of Public Works and Public Housing, while opening the event. The success of big plans is measured by the quality of human resources, added Basuki Hadimuljono. "Many large dam projects, from implementation, operation, and maintenance, requires more brilliant, intelligent, and qualified human resources." Apart from adding new degree program to specifically learn about reservoir at Gajah Mada University, Brawijaya University, and Diponegoro University, the Directorate General of Water Resources also collaborates with INACOLD in planning, implementing, and maintaining the large dam construction. With more than 45 years of experience, INACOLD has 1,695 dam experts and nearly half of them are certified. The essential function of the dam includes disaster prevention caused by extreme weather, particularly in disaster prone areas, such as West Sumatera. River Basin Batang Kuranji, for example. The river basin connecting two provinces, West Sumatera and Riau, has 3500 – 4000 mm of rain per year, thus it is classified as a high rainfall area. Having a very steep slope that reaches 55%, this area is prone to natural hazards, the worst is the flash flood in 2012 that have killed 10 people. Therefore, the Directorate General of Water Resources through the River Basin Territory of Sumatera V initiates the construction of 5 check dams and 2 groundsills for maintaining stability of the river basin. Commencing in 2015, now the development progress has reached 75%. In addition to artificial one, the government also concentrates on developing the natural reservoirs, such as Rawa Pening Lake in Central Java, Tempe Lake in South Sulawesi, and Lake Limboto in Gorontalo. "Later, the lake will naturally age and die, so we need to do something to extend its life," said Basuki Hadimuljono. About The Directorate General of Water Resources The Directorate General of Water Resources, under the Ministry of Public Works and Housing, has critical roles in formulating and implementing water resources management policies, provided in compliance with relevant legislation. In order to perform their duties in accordance with the Directorate General of Water Resources, their functions are: policy formulation in the field of water resources conservation, utilization of water resources and to control water damage on surface water resources, and utilization of groundwater in accordance with the provisions of legislation; implementation of integrated water resource management in compliance with the provisions of legislation; preparation of the norms, standards, procedures, and criteria in the field of water resources management; provision of technical guidance and supervision related to water resources management; implementation of evaluation and reporting regarding to water resources management; implementation of the administration of the Directorate General of Water Resources; and implementation of other functions provided by the Minister. Source: Ministry of Public Works and Housing of the Republic of Indonesia


Firmansyah,Diponegoro University
IOP Conference Series: Earth and Environmental Science | Year: 2017

The tourism is an important sector in generating income for a country, nevertheless, tourism is sensitive toward the changes in economy, as well as changes in environmental quality. By employing econometric models of error correction on annual data, this study examines the influence of environmental quality, domestic and global economic growth on foreign tourist arrivals in selected Southeast Asian countries, namely Indonesia, Malaysia, Thailand, Philippines, and Singapore. The findings of this study showed that all of countries long run model were proved statistically, indicated that world economic growth as well as environmental quality affect foreign tourism arrivals. © Published under licence by IOP Publishing Ltd.


Ambariyanto,Diponegoro University
IOP Conference Series: Earth and Environmental Science | Year: 2017

Increasing demand for marine resources in recent decades for human needs has led to intensified exploitation. This increase accelerates the process of extinction of various marine resources. In order to avoid extinction, it requires conservation measures of marine resources appropriately. This paper provides an overview of causes of extinction, trends and challenges in the conservation of endangered marine organisms. The success of conservation measures is highly dependent on various stakeholders such as governments, communities, the private sector and academics. Differences of the interest of these parties often lead to the failure of conservation programs. In general there is an increasing public awareness of the importance of protecting the diversity of marine resources and avoiding extinction of marine organisms, especially endangered organisms. The existence of comprehensive actions, legislation and improved coordination among government, community, private sector, and academics will significantly improve the success in overcoming all the challenges. © Published under licence by IOP Publishing Ltd.


Caesarendra W.,Pukyong National University | Widodo A.,Diponegoro University | Yang B.-S.,Pukyong National University
Mechanical Systems and Signal Processing | Year: 2010

Degradation parameter or deviation parameter from normal to failure condition of machine part or system is needed as an object of prediction in prognostics method. This study proposes the combination between relevance vector machine (RVM) and logistic regression (LR) in order to assess the failure degradation and prediction from incipient failure until final failure occurred. LR is used to estimate failure degradation of bearing based on run-to-failure datasets and the results are then regarded as target vectors of failure probability. RVM is selected as intelligent system then trained by using run-to-failure bearing data and target vectors of failure probability estimated by LR. After the training process, RVM is employed to predict failure probability of individual units of machine component. The performance of the proposed method is validated by applying the system to predict failure time of individual bearing based on simulation and experimental data. The result shows the plausibility and effectiveness of the proposed method, which can be considered as the machine degradation assessment model. © 2009 Elsevier Ltd. All rights reserved.


Susanto H.,Diponegoro University
Chemical Engineering and Processing: Process Intensification | Year: 2011

Membrane distillation, which combines thermal desalination and porous hydrophobic membrane as non-wetting contact media, is currently gaining increasing important in membrane processes. However, the vast researches and reported publications of membrane distillation (MD) are less followed by its practical/industrial applications. This paper review analyzes the reasons for MD has not widely being implemented in practical/industrial applications. In addition, the strategies towards practical application are presented. Thus, this review will complement previous review of MD papers. © 2010 Elsevier B.V.


Widodo A.,Diponegoro University | Yang B.-S.,Pukyong National University
Expert Systems with Applications | Year: 2011

Condition monitoring (CM) of machines health or industrial components and systems that can detect, classify and predict the impending faults is critical in reducing operating and maintenance cost. Many papers have reported the valuable models and methods of prognostic systems. However, it was rarely found the papers deal with censored data, which was common in machine condition monitoring practice. This work deals with development of machine degradation assessment system that utilizes censored and complete data collected from CM routine. Relevance vector machine (RVM) is selected as intelligent system then trained by input data obtained from run-to-failure bearing data and target vectors of survival probability estimated by Kaplan-Meier (KM) and probability density function estimators. After validation process, RVM is employed to predict survival probability of individual unit of machine component. The plausibility of the proposed method is shown by applying the proposed method to bearing degradation data in predicting survival probability of individual unit. © 2010 Elsevier Ltd. All rights reserved.


to validate the effect of plain kefir on immune responses of hyperglycemia wistar rats induced by Streptozotocin. the randomized pretest - posttest control group study design was conducted in male hyperglycemia Wistar rats induced by streptozotocin (STZ). Rats were randomized into four groups: (1) STZ-induced group were given insulin treatment 0.76 UI/200 g bw, (2) STZ-induced group and treated with plain kefir 3.6 cc/200 g bw/day for 30 days, (3) STZ-induced group as control, (4) normal animal group as a negative control. Blood glucose was measured from whole blood that was taken 0.1 ml from retroorbitalis vein by microhematocrit on day 1 (pretest) and day 30 (post test) by enzymatic methods. Immune responses (cytokines IL1, IL6, IL10, TNF) were measured by ELISA. Data were analyzed by one way Anova, Mann Whitney test and Duncan with significant level of p<0.05. plain kefir supplementation 3.6 cc/day affect blood glucose, proinflamatory cytokines (IL1, IL6, TNF) and antiinflamatory cytokine (IL10). Statistical analysis showed decrease of glucose -111.00±44.23 ml (p<0.001) and proinflamatory cytokines IL1 about -18.62±23.59 and IL6 -3.21±7.57 mU/mL (p<0.001), respectively compared to the control groups. TNF decreased 1.65±4.62 mU/mL, but not significant (p>0.05), except for controls group. In addition, antiinflammatory (IL10) showed also increase about 15.11±2.16 (p<0.05), except for the control. plain kefir supplementation significantly decreased blood glucose, level of cytokines (IL1, IL6) and lowered TNF level. On the contrary, the level of IL10 is increased compare to control groups.


Widodo A.,Diponegoro University | Yang B.-S.,Pukyong National University
Expert Systems with Applications | Year: 2011

Prognostic of machine health estimates the remaining useful life of machine components. It deals with prediction of machine health condition based on past measured data from condition monitoring (CM). It has benefits to reduce the production downtime, spare-parts inventory, maintenance cost, and safety hazards. Many papers have reported the valuable models and methods of prognostics systems. However, it was rarely found the papers deal with censored data, which is common in machine condition monitoring practice. This work concerns with developing intelligent machine prognostics system using survival analysis and support vector machine (SVM). SA utilizes censored and uncensored data collected from CM routine and then estimates the survival probability of failure time of machine components. SVM is trained by data input from CM histories data that corresponds to target vectors of estimated survival probability. After validation process, SVM is employed to predict failure time of individual unit of machine component. Simulation and experimental bearing degradation data are employed to validate the proposed method. The result shows that the proposed method is promising to be a probability-based machine prognostics system. © 2011 Elsevier Ltd. All rights reserved.


Ahmad M.,Prince of Songkla University | Benjakul S.,Prince of Songkla University | Prodpran T.,Prince of Songkla University | Agustini T.W.,Diponegoro University
Food Hydrocolloids | Year: 2012

Gelatin films incorporated with bergamot (BO) and lemongrass oil (LO) at various concentrations as glycerol substitute were prepared and characterised. Incorporation of BO and LO at 5-25% (w/w protein) resulted in the decreases in both tensile strength (TS) and elongation at break (EAB) of the films. Water vapour permeability (WVP) were decreased in LO incorporated films, while it was increased in film added with BO at level higher than 5% (P<0.05). Film solubility and transparency values decreased, and the films had the lowered light transmission in the visible range when BO and LO were incorporated. Films incorporated with LO showed inhibitory effect in a concentration dependent manner against Escherichia coli, Listeria monocytogenes, Staphylococcus aureus and Salmonella typhimurium, but BO added film inhibited only L.monocytogenes and S.aureus. Films containing both BO and LO did not inhibit Pseudomonas aeruginosa. Significant change of molecular organisation and higher intermolecular interactions among gelatin molecules were found in the film structure as determined by FTIR. Thermo-gravimetric analysis (TGA) demonstrated that films added with BO and LO exhibited enhanced heat stability with higher degradation temperature, compared with control film. Scanning electron microscopic (SEM) images revealed the presence of micro-pores in the essential oil incorporated films, which contributed to physical properties of the resulting films. Thus, gelatin films incorporated with BO and LO can be used as active packaging, but the properties could be modified, depending on essential oil added. © 2011 Elsevier Ltd.


Grant
Agency: European Commission | Branch: FP7 | Program: CP-FP | Phase: KBBE.2010.3.2-01 | Award Amount: 3.85M | Year: 2011

The aim of MARINE FUNGI is the demonstration of sustainable exploitation of marine natural resources providing appropriate culture conditions for the underutilised group of marine fungi, thus enabling efficient production of marine natural products in the laboratory and also in large scale cultures, avoiding harm to the natural environment. The focus of MARINE FUNGI are new anti-cancer compounds The project will carry out the characterisation of these compounds to the stage of in vivo proof of concept ready to enter further drug development in order to valorise the results of the project. MARINE FUNGI covers two approaches to gain effective producer strains: a) Candidate strains originating from one partners strain collection will be characterised and optimised using molecular methods. b) New fungi will be isolated from unique habitats, i.e. tropical coral reefs, endemic macroalgae and sponges from the Mediterranean. Culture conditions for these new isolates will be optimised for the production of new anti-cancer metabolites. MARINE FUNGI will develop a process concept for these compounds providing the technological basis for a sustainable use of marine microbial products as result of Blue Biotech. The project will explore the potential of marine fungi as excellent sources for useful new natural compounds. This will be accomplished by the formation of a new strongly interacting research network comprising the scientific and technological actors, including 3 SMEs and 2 ICPC partners, necessary to move along the added-value chain from the marine habitat to the drug candidate and process concept. The generated and existing knowledge will be disseminated widely for the valorisation of the project results.

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