IPTEK Journal of Proceedings Series
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Beef Supply Chain Analysis to Improve Availability and Supply Chain Value Using System Dynamics Methodology
Get PDFThe research focuses on beef commodity where beef demands data continue increasing proportionate or in line with increasing population, national per capita income, and the needs of industrial foods process materials. On the other hand, domestic beef supply tends to decrease so it can’t meet domestic demand. Furthermore, there are problems with fulfilling supplies to the end customer. The effort in solving the problems by improving the supply chain process using a model-driven decision support system, to model the existing system and build new scenarios to increase beef supply chain performance. The model-driven decision support system approaches using a system dynamics model to accommodate key variables or parameters that significantly contribute to the continuity strategic beef supply chain. The results showed a policy scenario with success indicators in the form of optimizing average beef weight values to 300 kgs per cattle and with carcass percentage value at 55% life weight, projecting deficit beef values decreasing in each year. At 2027 deficit value becoming small which is 8,520 tons, which ends up becoming surplus in 2028. The results of the model-driven decision support system output scenario can be functioned as input to the decision-maker to elaborate policy process related to the beef's food sector to achieve food self-sufficiency which one of the government missions
Integrated Transportation – Inventory Model for Outbound Logistics Optimization Hajariyah Agustina and Budi Santosa Departemen of Management Technology, Institut Teknologi Sepuluh Nopember (ITS), Surabaya e-mail: [email protected] of Cement
No full textIn the cement industry, supply chain management has an important role in determining competitiveness from inbound logistics to outbound logistics. PT X is the largest cement company in Indonesia with market share about 53% in 2019. The Company’s key strategy is supply chain optimization to achieve logistics and transportation cost efficiency and also prioritizing service level to meet customer needs. Outbound logistics optimization in PT X can be approached with the Integrated Transportation-Inventory (ITI) model. ITI is a model that integrates transportation and inventory decisions. In addition, ITI can also determine inventory levels, production quantities and backorder decisions. The application of ITI at PT X case study is categorized as multiple to multiple supply chain configurations, transshipment, multi-period, multi-product, allowing for back orders, and deterministic demand. The results of simulations of ITI models can be used as a basis sales planning and production. In this research, the ITI model solved with simplex solver method on Lingo 18, which has features to improve computational processes of a large scale cases. The development of the ITI model in optimizing outbound logistics at PT X provides efficiency and effectiveness of distribution strategy to meet customer demand. Simulation results show that optimization of outbound logistics using the ITI model is able to save costs by 1.86% (worth 117 billion) compared to existing conditions
Do Liquidity, Asset Quality, Firm Size, and Efficiency Affect Bank Profitability? Evidence from Indonesia Stock Exchange
Get PDFNowadays modern economy cannot be thought without banks. The commercials banks listed on the Indonesia Stock Exchange (IDX) is expected to be a strong and highly competitive bank, which contribute to the growth and even distribution of sustainable regional economies. However, there are still 28 banks that have negative trend in 2019. The purpose of this research is to analyze whether the LDR, NPL, SIZE and BOPO have significant influence simultaneously and partially to ROA commercial banks listed in Indonesia Stock Exchange (IDX). The study followed a descriptive research design and used secondary data obtained from the company annual reports and partly from the commercial banks. There is one basic theory about signaling theory and previous research found some propositions: 1) LDR have significant effect to ROA, 2) NPL have significant effect to ROA, 3) SIZE have significant effect to ROA, 4) BOPO have significant effect to ROA. The implication of this research is expected to be used as consideration in overcoming the problem to improving bank health, especially on bank profitability
Determining Constructions Phase Risk Mitigation of Shutdown Valve Control Panel Replacement Project West Madura Offshore
Get PDFPHA is an oil and gas Cooperation Contract Contractor (KKKS) in Indonesia, playing an important role in achieving the national oil and gas production target. To maintain operational and production continuity, a replacements shutdown valve control panel project performs at the production facility of West Madura offshore field. It was the first control panel replacement project carried out at the live production facility. Project team identify some high risk activity through process and occupational safety. Research needs in order to determine construction phase project risk mitigation, by hazard identification, risk analysis, classification and proposed preventive actions as necessary. Proposed analysis and risk management determined by Focus Group Discussion and House of Risk modeling methods, research identified 23 risk events, 23 risk agents, risk mitigation defined by aggregate risk potential and its prioritie. Aiming on reducing risk occurrence and improving positive impact for sustainability and objectives of the project. 24 preventive actions are selected with 5 top priority preventive action proposed
3,6-dimethyl ester-α-mangostin Compound Modified from Isolate α-mangostin Garcinia Mangostana Linn
Get PDFIsolate α-mangostin (1) is a phenolic compound derived from oxygenated and prenylated xanthones and major compounds obtained from the fruit peel of G. mangostana Linn., Which is stated to have inhibitory activity against α-glucosidase enzymes, serves to determine the antidiabetic activity resulting in IC50 value of 29,92 µM, is of the nature moderate to positive control (acarbose) with an IC50 value of 4.55 µM. A modified compound of α-mangostin (1) with acetic anhydride obtained by 3,6-di-methyl ester-α-mangostin (2) derivative showed the inhibitory value of α-glucosidase (IC50 13,89 μM), this value is better than the activity inhibition of α-mangostin (1), but not as active as the positive control value of the acarbose compound. The separation process to obtain α-mangostin isolates from the fruit peel of G. mangostana Linn was obtained by maceration method with ethyl acetate solvent, followed by refraction using a vacuum liquid chromatography (KCV) method over silica gel (Merck 60 G) and eluted using eluent (n-hexane: ethyl acetate) with increasing polarity, to produce as much pure crystal (21.66 g), yield (24%). While the structural characterization of the two compounds was carried out using UV-Vis, IR, HRESIMS, 1H-NMR and 13C-NMR spectroscopic methods, the antidiabetic testing was carried out using the α-glucosidase enzyme inhibition method
Pentahelix Collaboration Approach in Disaster Management: Case Study on Disaster Risk Reduction Forum-East Java
Get PDFThis article aims to describe the implementation of the pentahelix collaboration approach on disaster management in East Java. The research problem is how the pentahelix collaboration approach was developed by Disaster Risk Reduction Forum in East Java? This study uses a qualitative method, while data collection uses a focus group discussion and participant observation. The finding research showed that the pentahelix collaboration consists of Government, Academics, Community, Business and Media. They have a commitment to collaboration for reducing disaster risk in East Java region which was categorized as a natural disaster-prone area. Besides that, this is considered strategic to be developed in industrial revolution 4.0 era which requires fast information technology, networking and sustainable-collaboration. An interesting findings research is the application of an inclusive approach by involving the disabled community in Disaster Risk Reduction Forum activity
Analysis of PDDikti Website User Satisfaction Using Webqual
Get PDFBased on Presidential Instruction of the Republic of Indonesia Number 3 of 2003 concerning National Policies and Strategies for E-Government Development, it is hoped that the government can provide services that are efficient, effective, transparent and accountable. One application is through the use of websites or websites in all government and non-government institutions, the Ministry of Research, Technology and Higher Education as one of the government institutions through its work unit, PUSDATIN, which provides services to stakeholders through the PDDikti website as an application of the development of E-Government initiated by the government. This research was conducted to identify PDDikti website service user satisfaction, namely by measuring user satisfaction using the modified Webqual 4.0 method and seeing the extent to which the intensity of use variables moderates the quality of service on PDDikti website service user satisfaction. The population and sample in this study are operators of Private Universities in East Java under the auspices of LLDIKTI Region VII, the statistical analysis used in this study is the statistical analysis of Partial Least Square (PLS), to see the extent of the influence of each variable used in this research. The final results expected from this study are, looking at the effect of service quality on user satisfaction, as well as looking at the moderating effect posed (positive / negative) by the Intensity Usage variable. This study resulted in the findings that the Variable Usual Quality, Information Quality, Services Interaction, and Visual Quality had a significant effect with a P-Value below 0.05, as well as a positive moderating effect of the Usage Intensity Variable with a P value of <0.01
Fault Estimation on Induction Motor Based on Stator Inter-Turn Fault
Get PDFSince the 19th century, the use of electric motors continues to grow. Nowadays electric motors have been widely used in various fields of industry. One type of electric motor that is often used is an induction motor. Induction motors work in the presence of induced currents due to the relative difference in rotor rotation with rotating magnetic fields. Induction motors are preferred for industrial purposes because of low cost, easy to maintain, and high efficiency. Induction motors that are used continuously can experience several types of fault. The existence of fault can affect the performance of the induction motor. One of the fault that often occurs in induction motor is the result of stator inter-turn fault. This fault is caused by the gradual deterioration of insulation in the stator winding which cause a short-circuit. Sooner or later, this fault can cause damage to the induction motor in a short time if left unchecked. So, it is very important to monitor the fault in real-time. Therefore, this research proposes a fault estimation method on induction motor. The design of fault estimation based on particle filtering and extended state space equations is used to estimate the stator inter-turn fault. The effectiveness of this approach is validated by use of a computer simulation with using two fault signal represented by η_cc ramp and step signal. The performances of this fault estimation are measured by RMSE and with using 500 particles has smallest RMSE value, which are 0.0112 and 0.0124 for dq current fault when using η_cc ramp signal and 0.2373 and 0.2367 for dq current fault when using η_cc step signal
Analysis Effect on Readiness to the Implementation of Performance Based Contract (PBC) in PT Pelabuhan Indonesia III (Persero)
Get PDFThe type of contract for the road project used in PT Pelabuhan Indonesia III (Persero) is currently using the type of General Contracting. The contract is conventional and is considered to have many weaknesses. To obtain more optimal project results and maintenance can run optimally, in addition to improving quality control by the project supervisory team, one way that can be done is to change the use of innovative types of contracts. namely Performance Based Contracts (PBC). When implementing the PBC for the first time, there are several things that must be prepared, one of which is the readiness of the owner and contractor. Analysis in this study uses Structural Equation Modeling (SEM). The results obtained are that the variable readiness to use PBC has a positive effect on the application of PBC. If the readiness variable increases by one unit and the other variables are considered constant then the PBC implementation variable will increase by 0.390
Hybrid Double Seasonal ARIMA and Support Vector Regression in Short-Term Electricity Load Forecasting
Get PDFForecasting is the main purpose of time series modelling. In short-term forecast, data can be predicted for a half hour-ahead. A half hour-ahead prediction faced with overlapping data series patterns risk. On the other hand, time series model can be analyzed with a linier or nonlinier approach. In this paper, we proposed the combination (hybrid) liner and nonlinier model for modelling the short-term electricity load in East Java. A half-hour electricity load forecasting is needed for real time controlling and short-term maintenance schedulling. However, the main problem of modelling time series data is determining linier or nonlinier time patterns. In short-term electricity load forecast, it depend on the moment of time (i.e weekdays, weekend, public holidays, joint holidays or religious holiday, etc) and the electricity load classification. In this analysis, we developed the Double Seasonal ARIMA (DSARIMA), Support Vector Regression (SVR), and hybrid DSARIMA-SVR. The DSARIMA model belong to linier model based on a well-known Box-Jenkins methodology. The SVR model belong to nonlinier model and the hybrid model is a mixing of linier and nonlinier models. The models are evaluated using Root Mean Square Error (RMSE) and Symmetric Mean Absolute Percentage Error (MAPE). The result shows that the accuracy of hybrid DSARIMA-SVR models are superior to the other individual models