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Publisher: Universitas Ahmad Dahlan   (Total: 13 journals)   [Sort by number of followers]

Showing 1 - 13 of 13 Journals sorted alphabetically
Ahmad Dahlan J. of English Studies     Open Access   (Followers: 1)
Berkala Fisika Indonesia     Open Access  
HUMANITAS (Jurnal Psikologi Indonesia)     Open Access   (Followers: 4)
Intl. J. of Advances in Intelligent Informatics     Open Access   (Followers: 5)
J. of Education and Learning     Open Access   (Followers: 11)
J. of Education, Health and Community Psychology     Open Access   (Followers: 7)
Jurnal Ilmiah AdMathEdu     Open Access  
Jurnal Informatika     Open Access   (Followers: 1)
Jurnal Kesehatan Masyarakat (J. of Public Health)     Open Access   (Followers: 2)
Media Farmasi     Open Access  
Pharmaciana     Open Access  
Psikopedagogia : Jurnal Bimbingan dan Konseling     Open Access   (Followers: 1)
TELKOMNIKA (Telecommunication, Computing, Electronics and Control)     Open Access   (Followers: 8, SJR: 0.211, h-index: 8)
Journal Cover International Journal of Advances in Intelligent Informatics
  [5 followers]  Follow
    
  This is an Open Access Journal Open Access journal
   ISSN (Print) 2442-6571
   Published by Universitas Ahmad Dahlan Homepage  [13 journals]
  • Systematic feature analysis on timber defect images

    • Authors: Ummi Rabaah Hashim, Siti Zaiton Mohd Hashim, Azah Kamilah Muda, Kasturi Kanchymalay, Intan Ermahani Abd Jalil, Muhammad Hakim Othman
      Pages: 56 - 67
      Abstract: Feature extraction is unquestionably an important process in a pattern recognition system. A defined set of features makes the identification task more efficiently. This paper addresses the extraction and analysis of features based on statistical texture to characterize images of timber defects. A series of procedures including feature extraction and feature analysis was executed to construct an appropriate feature set that could significantly separate amongst defects and clear wood classes. The feature set aimed for later use in a timber defect detection system. For Accessing the discrimination capability of the features extracted, visual exploratory analysis and confirmatory statistical analysis were performed on defect and clear wood images of Meranti (Shorea spp.) timber species. Results from the analysis demonstrated that there was a significant distinction between defect classes and clear wood utilizing the proposed set of texture features.
      PubDate: 2017-07-31
      DOI: 10.26555/ijain.v3i2.94
      Issue No: Vol. 3, No. 2 (2017)
       
  • Wavelet discrete transform, ANFIS and linear regression for short-term
           time series prediction of air temperature

    • Authors: Devi Munandar
      Pages: 68 - 80
      Abstract: This paper investigates the ability of Discrete Wavelet Transform and Adaptive Network-Based Fuzzy Inference System in time-series data modeling of weather parameters. Plotting predicted data results on Linear Regression is used as the baseline of the statistical model. Data were tested in every 10 minutes interval on weather station of Bungus port in Padang, Indonesia. Mean absolute errors (MAE), the coefficient of determination (R2), Pearson correlation coefficient (r) and root mean squared error (RMSE) are used as performance indicators. The result of Plotting ANFIS data against linear regression using 1-input data is the optimal values combination of output predictions.
      PubDate: 2017-07-31
      DOI: 10.26555/ijain.v3i2.101
      Issue No: Vol. 3, No. 2 (2017)
       
  • K-Means cluster analysis in earthquake epicenter clustering

    • Authors: Pepi Novianti, Dyah Setyorini, Ulfasari Rafflesia
      Pages: 81 - 89
      Abstract: Bengkulu Province, Indonesia, which lies in two active faults, Semangko fault and Mentawai fault, is an area that has high seismic activity. As earthquake-prone area, the characteristic of each earthquake in Bengkulu Province needs to be studied. This paper presents the earthquake epicenter clustering in Bengkulu Province. Tectonic earthquake data at Bengkulu Province and surrounding areas from January 1970 to December 2015 are used. The data is taken from single-station Agency Meteorology, Climatology and Geophysics (BMKG) Kepahiang Bengkulu. K-Means clustering using Euclidean distance method is used in this analysis. The variables are latitude, longitude and magnitude. The optimum number of cluster is determined using Krzanowski and Lai (KL) index which is 7. The analysis for each clustering experiment with variation number of cluster is presented.
      PubDate: 2017-07-31
      DOI: 10.26555/ijain.v3i2.100
      Issue No: Vol. 3, No. 2 (2017)
       
  • Performance IEEE 802.14.5 and zigbee protocol on realtime monitoring
           augmented reality based wireless sensor network system

    • Authors: Arda Surya Editya, Surya Sumpeno, Istas Pratomo
      Pages: 90 - 97
      Abstract: The internet of Thing (IoT)technology has much development in this era. It has various wireless media transmission systems such as ESP and XBEE. Some IoT device can monitor website or application. On the other hand, Augmented Reality (AR) is a technology that used more on the entertainment sector. Here, we try to use AR to monitor the xbee based IoT device. As a result, there is the different result between Zigbee Protocol and IEEE 802.14.5 real time monitoring system. The optimum estimation of realtime time tolerance of those monitoring systems is>1500 ms (IEEE 804.14.5) and> 50 ms (Zigbee protocol).
      PubDate: 2017-07-31
      DOI: 10.26555/ijain.v3i2.99
      Issue No: Vol. 3, No. 2 (2017)
       
  • Spatial data modeling in disposable income per capita in china using
           nationwide spatial autoregressive (SAR)

    • Authors: Tuti Purwaningsih, Anusua Ghosh, Chumairoh Chumairoh
      Pages: 98 - 106
      Abstract: China is a country that became the economic centre of the world. The factors that play an important role in the economic progress in China is industrial factors: Per Capita Disposable Income Nationwide, Total Value of Exports of operating units, Registered Unemployed Persons in Urban Area, and Number of Industrial Enterprises and tourism factors. However, the prosperity among 1.3 billion of the population, is unequal. Thus, it is necessary to investigate the extent to which these factors influence the per capita income. Since the economic development of a region usually affects the surrounding area, this study includes the Spatial Autoregressive Model (SAR) method.
      PubDate: 2017-07-31
      DOI: 10.26555/ijain.v3i2.93
      Issue No: Vol. 3, No. 2 (2017)
       
  • Circular(2)-linear regression analysis with iteration order manipulation

    • Authors: Muhamad Irpan Nurhab, Badaruddin Nurhab, Tuti Purwaningsih, Ming Foey Teng
      Pages: 107 - 116
      Abstract: The development of data analysis still predominantly uses linear statistics. Whereas the research world there are other types of data is data direction. One type of data direction is the data circular. The statistical analysis aimed at modelling the causal relationship between the independent variable and the dependent variable is regression analysis. So, as to model, the relationship between wind direction and cloud direction against rainfall is circular–linear-multiple regression analysis. The purpose of this research is to build a model of circular–linear regression analysis of m order with circular variable α and β against linear variable (Y). This research used the simulation data, seen from the sum square of error, p-value, and r-square.
      PubDate: 2017-07-31
      DOI: 10.26555/ijain.v3i2.90
      Issue No: Vol. 3, No. 2 (2017)
       
 
 
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