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INSIST (International Series on Interdisciplinary Research)

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Published by Universitas Lampung

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INSIST is an International online journal which publishes innovative research papers and critical reviews in the field of engineering and interdisciplinary science researches. It focuses on but not limited to Electrical and Telecommunication, Mechanical Engineering, Chemical and Environmental Engineering, Civil and Architecture, Geophysics Engineering, Material Physics, Applied Sciences and Biomedical Engineering. The over-riding criteria for publication are the originality, scientific quality and interest to the interdisciplinary research.

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Articles 8 Documents

Search results for , issue "Vol 3, No 2 (2018)" : 8 Documents clear

An Assessment Framework for Small-Scale Coal Mining Based on Lean Thinking and Green Mining Concept Berry Yuliandra; Agus Sutanto; Hendris Prasojo
INSIST Vol 3, No 2 (2018)
Publisher : Universitas Lampung

Coal mining is one of Indonesia's important industrial sectors. However, the industry is also often seen as a major cause of landscape destruction and environmental unsustainability, especially by small-scale mining. This study aims to develop an assessment framework for small-scale mining based on the concept of lean thinking and green mining. Those concept can be used to ensure that the assessment process is oriented towards good mining practices and environmental conservation efforts. Focus of the study is coal mining business located in the city of Sawahlunto. The study was conducted using descriptive method with interview as primary data collection technique. In addition to primary data, secondary data are also collected from official documents, books, and reports on mining research in the city of Sawahlunto. Validation of criteria and indicators in the assessment framework is done using Focus Group Discussion (FGD) techniques with expert teams consisting of government, mining practitioners and academics. The proposed assessment framework consists of total 10 assessment criteria with 55 indicators

Single Exponential Smoothing Method to Predict Sales Multiple Products Rendra Gustriansyah
INSIST Vol 3, No 2 (2018)
Publisher : Universitas Lampung

—Activity to predict sales multiple products intended for control of the number of existing stock, so the lack or excess stock can be minimized. When the number of sales can be accurately predicted, then the fulfilment of consumer demand can be cultivated in a timely and cooperation with suppliers maintained properly so that company can avoid losing sales and customers. This study aims to predict sales multiple products (6,877 products) using Single Exponential Smoothing (SES) approach, which is expected to improve the efficiency of the inventory system. Measurement accuracy of prediction in this study using a standard measurement Mean Absolute Percentage Error (MAPE), which is the most important criteria in analyzing the accuracy of the prediction. The results showed that the average of percentage prediction error of products using SES is high, because MAPE value obtained is 1.056% with a smoothing parameter α = 0.9

Analysis of lifecycle models and Software Component Retrieval Monisha Kumari; Dimple Nagpal
INSIST Vol 3, No 2 (2018)
Publisher : Universitas Lampung

The development of the software component consists of many stages and the lifecycle models show the flow of the stages that the development of the component follows. The development of the new software from the reusable software component has been challenging as it is always a concern to retrieve the relevant software component from the repository. There are lifecycles for making the design and development of the component more efficient. In this paper, an overview of the software component lifecycle models X-model, Y-model, Z-model, knot model and elite model and phases explanation of the lifecycle has been discussed. The current concept explains the comparison of the three lifecycle models in this paper. The component retrieval algorithms has been compared and discussed for the retrieval of the software component.

Design and Implementation of the Korean Muallaf Center Applications as a Guide to Procedures for Praying for Korean W A A Praditasari; I Kholis; A A Budiman
INSIST Vol 3, No 2 (2018)
Publisher : Universitas Lampung

Based on data analysis proved that during 20152060, the number of Muslim population increased rapidly by increasing 70%, which is included converts in South Korea. The developments of Islam in South Korea characterized by the growing mosque of Seoul, Itaewon Mosque Islamic Center. The main constraint factor for Korean converts is there is still no prayer guide in Hangeul feature. Constraints experienced by converts, most important is prayer. The Korean Muallaf Center is an application that helps converts to include wudu, prayers, and easy-to-understand religious worship. The purpose of this research is to help converts to understand the guidelines of Islam with Hangeul, so that they can practice it. The methodology of this research is with literature study, application design, implementation, and evaluation of application usage. The results of this study are the Korean Muallaf Center Applications that have been used by Muallaf Korea.

Integrated Reservoir Study to Optimize Gas Production of Water Drive Gas Reservoir Case Study: Lower Menggala Gas Field Panca Suci Widiantoro; Astra Agus Pramana; Putu Suarsana; Anis N Utami
INSIST Vol 3, No 2 (2018)
Publisher : Universitas Lampung

Production optimization in mature field water drive gas reservoir is not easy especially when water already breakthrough in producing wells. An integrated reservoir study is needed to get reliable strategy to optimize production of water drive gas reservoir. This research presents the integrated reservoir study of Lower Menggala (LM) Gas Field which is located Central Sumatera Basin, Riau Province. LM had been produced since 1997, current RF are 55%, which is quite high for water drive gas reservoir. The current gas rate production is about 1.97 MMscfd with high water production around 4250 BWPD, consequently some of wells suffered liquid loading problem This research comprises of well performance analysis, estimate OGIP, aquifer strength of the reservoir by using conventional material balance method and modern production analysis method then conduct dynamic reservoir simulation to identify the best strategy to optimize gas production. Economic analysis also be performed to guide in making decision which scenario will be selected. DST analysis on DC-01 well defined reservoir parameter, boundary and deliverability which are P*= 2520 psia, k= 229 mD, Total skin= 8, detected sealing fault with distance 175 m, and AOF 45 MMscfd. Conventional material balance method gave OGIP 22.7 BScf, aquifer strength 34 B/D/Psi, whereas modern production analysis estimated OGIP 22.35 BScf, aquifer strength 34 B/D/psi. Those two method shows good consistency with OGIP volumetric calculation with discrepancy OGIP value +/- 1%. Six (6) scenario of production optimization has been analyzed, the result shows that work over in two wells and drilling of 1 infill well (case 6) achieve gas recovery factor up to 75.2%, minimal water production and attractive economic result

Accumulative Roll Bonding for Improvement mechanical properties of Aluminum based Composite Agus Pramono
INSIST Vol 3, No 2 (2018)
Publisher : Universitas Lampung

The Aluminum has special properties such as light weight, ductile and a lower melting point. It has very suitable for applied as composite material, with ceramic as reinforcement. Accumulative roll bonding (ARB) is part of technology of Severe Plastic Deformation (SPD) that has been developed of manufacturing process for metals, alloys and composites as well. It has a potential becoming an industrial process to produce composite and ultrafine-grained (UFG) metal sheets. In this research, the development of aluminum-based composites is made by SPD technology using the ARB method on aluminum plate sheets with boron carbide (B4C) as reinforcement, is expected to improve its mechanical properties along with the rules of microstructure analysis. To get of the UFG metallic materials where the mean grain size must be smaller than 1μm are expected can be exhibit excellent mechanical properties. The ARB process consists of multiple cycles of rolling, cutting, stacking and solid-state deformation bonding. Two plates were prepare for the ARB sample process, cleaning uses acetone liquid to prevent attachment of dust and dirt on the surface to be made in contact with other samples. Acetone and grinding to produce a rough surface to facilitate the surface binding process between samples, B4C powder is sprinkled between the centers of aluminum plate surface and stacked going together.

Modeling Stock Return Data Using Asymmetric Volatility Models: A Performance Comparison Based On the Akaike Information Criterion and Schwarz Criterion Setiawan, Eri; Herawati, Netti; Nisa, Khoirin
INSIST Vol 3, No 2 (2018)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/ins.v3i2.160

The Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model has been widely used in time series forecasting especially with asymmetric volatility data. As the generalization of autoregressive conditional heteroscedasticity model, GARCH is known to be more flexible to lag structures. Some enhancements of GARCH models were introduced in literatures, among them are Exponential GARCH (EGARCH), Threshold GARCH (TGARCH) and Asymmetric Power GARCH (APGARCH) models. This paper aims to compare the performance of the three enhancements of the asymmetric volatility models by means of applying the three models to estimate real daily stock return volatility data. The presence of leverage effects in empirical series is investigated. Based on the value of Akaike information and Schwarz criterions, the result showed that the best forecasting model for our daily stock return data is the APARCH model.

El Von Bertalanffy and Mortality from Fish Kurau (Polynemustaenitatus) of The Catch Fisherman in Waters Bunyu Gazali Salim; Pius Bae Kelen
INSIST Vol 3, No 2 (2018)
Publisher : Universitas Lampung

The aim of the research are analyzing the growth model using Von Bertalanffy and mortality in Polynemus taeniatus. Research methods a descriptive kuantitatif by using the case study. Determining the location of sampling are purposive sampling, by following fishing boats Drift Gill Net. Sampling funded every two weeks once upon a huge tide. Data collection techniques using survey. Data retrieval in the form of total length and total weight. The samples from 4 (times) for 3 months. Each sample taking having vulnerable time between 2-5 day in bunyu waters. Research results use the model von bertalanffy obtained maximum length fish kurau (p.taeniatus) is 156,794 cm in 349 days. Value K of 0.0364 cm. Value To of -1,2819 cm. The results of data processing of fish catch kurau (P.taeniatus) obtained by mortalitas natural 0,435; mortalitas total of 1.121; mortalitas arrest of 0,6859; the exploitation of fish kurau 0,61.

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