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IPTEK The Journal for Technology and Science
Published by Institut Teknologi Sepuluh Nopember Surabaya
ISSN : 08534098     EISSN : 20882033     DOI : -
Core Subject : Science,
Computer Science & IT
IPTEK The Journal for Technology and Science (eISSN: 2088-2033; Print ISSN:0853-4098), is an academic journal on the issued related to natural science and technology. The journal initially published four issues every year, i.e. February, May, August, and November. From 2014, IPTEK the Journal for Technology and Science publish three times a year, they are in April, August and December in online version.
Arjuna Subject : -
Articles 345 Documents
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Wood Colour Test of Fisherman’s Boat on Microorganism Linkage in Kangean Nurhatika, Sri; Nurhayati, Awik P.D.
IPTEK The Journal for Technology and Science Vol 20, No 2 (2009)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v20i2.125

Abstract

Most of Indonesian fishermen have been using wooden boat. The boat has been used by fishermen in the north shore of East Java are made from Teak and Silk cotton tree. The leakage indication had not been shown on its linkage but on the boat caused by a microor-ganism called biofouling. The research used Colony For-ming Unit method (CFU) and Saburoud Dextrose Agar (SDA) as a fungus counting medium and Nutient Agar (NA) as a bacteria counting medium. Each medium had been adjusted to the microorganism. The result shows that the wood and the paint which were used to build the boat influenced the type of microorganism, fungus, and bac-teria on the boat. Bacteria preferred to stick on the yellow boat, and fungus preferred to stick on the green boat. The microorganism had been identified on the red Nyamplung tree, Kosambi tree, Jackfruit tree, Kamfer tree, and Teak tree are Micrococcus sp, Bacillus sp, and Pseudomonas sp, and all of those are bacteria. The other microorganism had been identified were Aspergillus niger, Aspergillus oryzae, Penicillium sp, Candida sp, Rhodotorulla sp, Saccharomyces sp, Verticillium sp, Paecilomyces sp, Monillia sp, and Altenaria sp, and all of those are fungus.
Modelling Ports Investment and Island Economic Growth Tukan, Marcus; Achmadi, Tri; Wijaya, Sjarief; Ciptomulyono, Udisubakti
IPTEK The Journal for Technology and Science Vol 23, No 3 (2012)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v23i3.6

Abstract

The port is a gateway region's economy. Investment performance is important that an effective and efficient port to ensure smooth supply chain needs of the region and promote economic growth. This study aims to model the port investment relationship with economic growth. Quantitative analysis and econometric modeling is used in statistical testing, studies typically classified in two areas, namely: the north and south islands of Maluku. The northern and southern regions and the increase in the loading dock term investment to drive economic growth, but the number of visits relation ship with economic growth negative influence.
Sodium Bisulfite as SO3 Source for Synthesis of Methyl Ester Sulfonate Using RBD Stearin as Raw Material Mansur, Dieni; Astrini, Nuri; Tasrif, Tasrif
IPTEK The Journal for Technology and Science Vol 18, No 4 (2007)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v18i4.161

Abstract

Methyl Ester Sulfonate (MES) is an anionic surfactant that be used for making cleansing products. MES is a biodegradable product because it is made from vegetable oil. MES can replace LAS (Linear Alkylbenzene Sulfonate) and AS (Alcohol Sulfate) that made from petrochemical substances. Process synthesis of MES was required the source of SO3 which can be obtained from sodium bisulfite. Various of process variables such as temperature and mole ratio between SO3 and methyl ester was required to get the optimal condition of sulfonation process using falling film reactor. In this research was obtained optimal temperature at 900C and mole ratio between sodium bisulfate and methyl ester was 1.6 : 1 giving active matter 32%. The qualities of obtained MES have near to the quality of MES of Chemithon and of LAS. Iod value and color of MES of Chemithon were 0.1–1 and 100 klett respectively while in this research was 6.11 for iod value and 135 klett for the color. Surface tension of LAS was 31.6 dyne/cm while MES as the experimental product rest at 50 dyne/cm.
Integrated Model of Balanced Score Card and Technology Component Measurement: A Strategic Perspective in Indonesia Biofuel Engineering Development Sukardi, Sukardi; Nasution, Arman Hakim
IPTEK The Journal for Technology and Science Vol 21, No 3 (2010)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v21i3.39

Abstract

The development of biofuel as an ecofriendly energy alternative has a value chain problem in alignment policies between related parties. Identifiying its alignment, we make a strategic mapping by building integrated base scorecard, so the strategic target in the subsequent perspective layer can be developed more realistically. Structural Equation Modeling (SEM) modeling was used to examine horizontal connection validity to show strong relation between objectives strategy, and it will be measured of constructed component on the internal process by Technology Coefficient Contribution indexes.
Impact of Stakeholder Psychological Empowerment on Project Success Chandra, Herry Pintardi; Indarto, Indarto; Wiguna, I Putu Artama; Kaming, Peter F
IPTEK The Journal for Technology and Science Vol 22, No 2 (2011)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v22i2.63

Abstract

The relationship between psychological empowerment of stakeholders and project success is an important thing that must be known by project manager. This research developed and tested the model to predict how well the impact of stakeholder psychological empowerment on project success. Stakeholder psychological empowerment was defined to have five indicator variables covering intrinsic motivation, opportunity to perform, ability to perform, task behaviors, and contextual behaviors. Meanwhile, project success can be measured by cost performance, time performance, quality performance, profitability, and customer satisfaction. In this study, it was hypothesized that stakeholder psychological empowerment influenced project success. Based on the data obtained from a questionnaire survey carried out to 204 respondents, structural equation modeling (SEM) was used for predicting the performance of project success. It was found that stakeholder psychological empowerment influenced project success, especially on the ability to perform of stakeholders.
Using Max-Plus Algebra in The Flow Shop Scheduling Subiono, Subiono
IPTEK The Journal for Technology and Science Vol 20, No 3 (2009)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v20i3.105

Abstract

In this paper, it is discussed notion of maxplus algebra and their properties. A model of flow shop production system and analyze the dynamical behavior of the system for scheduling problems are derived by means of max-plus algebra. The solutions of these problems are that the optimal sequence of jobs and the regular scheduling are obtained.
The Potential of Using Partial Discharge Analysis for Condition Monitoring of Polymer Insulator Giriantari, I.A.D.
IPTEK The Journal for Technology and Science Vol 19, No 2 (2008)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v19i2.151

Abstract

Polymeric insulators are widely used now days due to some advantages such as compact design, light, handy and easy to install therefore less installation cost. However, polymeric insulator can be deteriorate by ageing process due to UV, severe weather, extreme temperature, humidity, and vandalism. Deterioration due to severe weather and vandalism are usually undetectable. There are many techniques have been introduced in order to detect the insulator condition, one of the technique is introduce here by using Partial Discharge analysis. Study has been done in High Voltage Lab of UNSW Australia in order to investigate the potential of using Partial Discharge Measurement technique to monitor the insulator condition. Continuous PD measurement by examining the PD patterns and behaviour of three different insulator materials that are subjected to high humidity and pollution in the small chamber has been done. PD measurement has done by utilizing Computer Discharge Analyser 3 (CDA3). PD pattern was studied and examined including its statistical distribution and its scatter plot. It was done to be able to identify the PD’s parameters that can be used for condition monitoring. Polymeric insulators were tested in clean and polluted condition. The PD signal analysis can be done in energized condition by using high frequency current transformer. The CDA3 results in particular the statistical distributions and the scatter plots have exhibited a good correlation to the change of insulator’s surface condition. PD’s statistical distributions have given quantitative data of insulator’s surface condition, whereas the scatter plots have given the qualitative data. In addition, it was also found that high frequency component of the PD’s signal spectrum occurred when the insulator’s surface has been damaged. This monitoring technique of polymeric insulator condition by using PD analysis has a great potential.
Text Mining for Fuzzy-based Emotion Expressions Sumpeno, Surya; Hariadi, Mochamad; Hery, Mauridhi
IPTEK The Journal for Technology and Science Vol 21, No 1 (2010)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v21i1.29

Abstract

A model of emotion representation in the form of facial expressions using text mining technique, followed by fuzzy-based mechanisms using Fuzzy Inference System (FIS) is proposed. The model classifies the emotional content of sentences from text input and expresses corresponding emotions by a facial expression. Text input is classified using Na¨ıve Bayes text classifier, while facial expression of a virtual character are controlled by Mamdani fuzzy inference system utilizing results from text classifier. This model is able to show the facial expression with admixture blending emotions. As a demonstration, examples of facial expressions with corresponding text inputs as results from the implementation of our model are shown.
Multisteps Global Kinetic Analysis of MSW Slow Pyrolysis Himawanto, Dwi Aries
IPTEK The Journal for Technology and Science Vol 24, No 3 (2013)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v24i3.189

Abstract

The goal of this research is to find relationships between single components slow pyrolysis characteristics and mixed component slow pyrolysis characteristics of segregated municipal solid wastes (MSW). The material of this research consists of organic wastes (bamboo wastes and banana leaves wastes) and inorganic wastes (styrofoam wastes and snack wrapping wastes. The materials which used to study were the unprosessing waste. The samples were collected, dried and crushed until passing 20 mesh shieves then characterized in self manufactured macro balance. The thermogravimetry analyses were done to find the MSW slow pyrolysis characteristics. The 20 gram sample was placed in the furnace whose temperature is increased with 10 0C/min heating rate until reached 400 0 final temperature and held for 30 minutes before the sample is cooled into room temperature. One hundred ml/min nitrogen introduced from the bottom of furnace as a swept gas. The results of the research show that the global kinetic method could be used to predict the MSW single component activation energy but it should be modified to calculate the mixed sample activation energy . The predictive activation energy values which calculated based on weighed sum of single component have 18.5 % deviations if compared with experimental result.
Algorithms Comparison for Non-Requirements Classification using the Semantic Feature of Software Requirement Statements Achmad An'im Fahmi; Daniel Siahaan
IPTEK The Journal for Technology and Science Vol 31, No 3 (2020)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v31i3.7606

Abstract

Noise in a Software Requirements Specification (SRS) is an irrelevant requirements statement or a non-requirements statement. This can be confusing to the reader and can have negative repercussions in later stages of software development. This study proposes a classification model to detect the second type of noise, the non-requirements statement. The classification model that is built is based on the semantic features of the non-requirements statement. This research also compares the five best-supervised machine learning methods to date, which are support vector machine (SVM), naïve Bayes (NB), random forest (RF), k-nearest neighbor (kNN), and Decision Tree. This comparison aimed to determine which method can produce the best non-requirements classification, model. The comparison shows that the best model is produced by the SVM method with an average accuracy of 0.96. The most significant features in this non-requirement classification model are the requirements statement or non-requirements, id statement, normalized mean value, standard deviation value, similarity variant value, standard deviation normalization value, maximum normalized value, similarity variant normalization value, value Bad NN, mean value, number of sentences, bad VB score, and project id.

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