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(1)

Pekik Argo Dahono

Sekolah Teknik Elektro dan Informatika

(2)

Good Paper

• Proper language

• Clear contribution

• Timely

• Good references

• Good figures and tables

(3)

Distribution Network Reconfiguration Using Binary

Particle Swarm Optimization for Optimizing Losses

and Voltage Stability Index

• Authors: first, second, and third

• Too long key words

• Based on abstract and introduction, I couldn’t find the main

contribution of this paper. Particle Swarm Optimization can be

obtained in somewhere else. It looks that this work is still in “napak tilas” stage.

(4)

Simulation Design of Trajectory Planning Robot

Manipulator

• The English is difficult to understand

• Optimal manipulator robot control to achieve the desired trajectory points requires a research. Simulation is one of the solutions to

represent robot performance research that will be made without using hardware.

(5)

An Approach for Risk Estimation in Information

Security Using Text Mining and Jaccard Method

• You can not put this sentence in the abstract “Nowadays, information becomes important asset for enterprises to support their business.”

• If not really necessary, don’t put any figure in the introduction.

• I couldn’t find the description of the main contribution in the

introduction.

(6)

Features for Cross Spectral Image Matching : A

Survey

• You can not put this sentence in the abstract “In the recent years, cross spectral matching has been gaining attention in various biometric systems for identification and verification purposes.”

• Many researchers are focused to propose new robust feature extraction method. Feature extraction is a process to obtain information or

characteristic of an image. The matching accuracy depends on the features or descriptors used in the systems. Therefore various studies were

developed to find a robust feature [9-10]. A survey on state of the art feature descriptor in cross spectral matching that is used in image

recognition is carried out in this paper. In this paper, we describe several feature extraction methods based on the representation of VL and thermal image features. What your contribution?

(7)

Developing Corpora using Word2vec and

Wikipedia for Word Sense Disambiguation

• Authors : first and second

• You cannot have only one sentence in one paragraph

(8)

A Real-time Application Framework for Web-Based

Speech Recognition Using HTTP/2 and SSE

• Very good paper

(9)

LBtrans-Bot: A Latin-to-Balinese Script

Transliteration Robotic System based on Noto Sans

Balinese Font

• Too long abstract

• The content looks good but I couldn’t find the description about the

(10)

The Business Elements for SMEs Sector

Manufacture

(11)

Comparison of Multiscale Entropy for Lung Sound

Classification

• If not really necessary, don’t put a figure in the introduction.

• I did not find a clear contribution of this paper

• The performance comparison of multiscale entropy for various entropy

measurement techniques has never previously been done. In this study, we compared the use of multiscale entropy for various entropy measurement

techniques for lung sound classification. Entropy measurement method in this study included Shannon entropy [18], spectral entropy [18], Renyi entropy [19], wavelet entropy [20], approximate entropy [21], sample entropy [22],

permutation entropy [23], and Tsallis entropy [24]. Those eighth entropies measurements are a representation of two kind entropy measurement

techniques: spectral entropy and embedding entropy. Embedding entropy was calculated directly from the signal in the time domain, and the spectral entropy was calculated from the signal amplitude in the frequency domain. This research is expected to obtain the best multiscale entropy techniques for sound

(12)

Eigenvalue of Analytic Hierarchy Process as

The Determinant for Class Target on

Classification Algorithm

• The English is not good. “Data Mining has the characteristics in its process to achieve a desired result.” What the meaning?

• I couldn’t find the clear contribution: This research tries to simulate case study based on dataset from field observation, interview and data acquisition process from several

experts. The main objective is to collect unsupervised learning data into supervised learning as a prediction model. Based on the results of data collection, variables and observations, there are 7 variables and 38 sub variables used in determining the

prediction of Timely Graduation of Students in UIN Sultan Syarif Kasim Riau Indonesia. The problem is that there is no target class variable in the data set which is used to do the prediction. While one of the conditions of supervised learning is the existence of

target class [11]. Nevertheless, in the research conducted, there are several assumptions which can be done to determine the target variable such as by using pairwise

comparison from all variable used.

(13)

Comparison GLCM and LBP Methods for

Authenticity Rupiah Currency

Kata kunci: Comparison, K-NN, Matrix, Pattern, Rupiah Currency

• You cannot have only one sentence in one paragraph.

(14)

Efficient Implementation of Mean, Variance and

Skewness Statistic Formula for Image Processing

Using FPGA Device

• The English is bad

(15)

Speaker Recognition in Content-Based Image

Retrieval for a high degree of accuracy

• I couldn’t find the main contribution “Problem formulation in this research was on concluding the result of speaker recognition for a high degree of accuracy. The system of speaker recognition consists identification system and verification, identification system using fuzzy Mamdani method, and then verification system uses Manhattan distance method. The speaker

recognition was compared voice of human recording with human recording voice on the database.Therefore, the result of this research is to build

speaker recognition system using extraction of feature row mean image with consideration of feature vector size using kekre transform as the transformation method. Therefore, the result of this research is to build speaker recognition system using extraction of feature row mean image with consideration of feature vector size using kekre transform as the transformation method.”

(16)

An Artificial Neural Network Approach for

Detecting Skin Cancer

• I couldn’t find the main contribution “Based on the above

explanation, this study aims to present diagnose of melanoma skin cancer at an early stage. It applies feature extraction method of the first order for feature extraction based on texture in order to get high degree of accuracy with method of classification using artificial neural network (ANN). The method used is training and testing phases

(17)

Wireless Power Transfer using the Concept of

Magnetic Coil Resonant System

• No contribution can be found.

(18)

Development Fuzzy Inference System Trail of

Albireo Star Using Surface Meteorological

Parameter over ITERA Astronomical Observatory

(IAO)

• You have to clarify better the contribution “Many researchers have used FIS application to controlling quadcopter in dynamical

movement and optimization of tank irrigation System to improve

conventional irrigation system [6, 7] due to FIS have the capability to develop the model with the highest accuracy [8, 9]. Thus, in this study the FIS development of trail Albireo (β Cyg) star using meteorological data were combined by Artificial Neural Network (ANN) in near future to estimate seeing star value namely the seeing star modelling based Adaptive Neuro-Fuzzy Inference System (ANFIS) using surface

(19)

Increasing the Detail and Realism in Web3D

Distributed World

• Don’t put a figure in the introduction

• I couldn’t find the contribution “The purpose of this research is to find out the effects of intensive use of polygons to create large scale high-detail models in order to build an online representation of campus structures using Web3D technology. Primary requirement for the site was that it has to be able to be traveled by visitors in high detail as if they actually cruised inside it, without too much noticeable

degradation in visual performance caused by intensive use of polygons and their visual effects. The previous experimental research has developed a world which relied heavily on images to create impression of shapes on low-poly base models. The world has quick loading time and fast response due to its minimum use of polygons. However, responses of the visitors were far from expectations because the display of model with minimal detail has failed to make the visitors felt like they are visiting and interacting in the campus building complex that they have known. Further research need to be done to increase the visual quality which will in turn enhancing the overall experience of visitors, by using more detailed polygons as the primary objects representing the campus buildings. Additional details must not slow down the transfer of files from server to

(20)

Development of Low-Cost Fiber Optic Based

Ammonia Detector for Fishpond Application

• The English is bad

• I don’t know the contribution. “Many researchers have used FIS application to controlling quadcopter in dynamical movement and optimization of tank irrigation system to improve conventional

irrigation system [6, 7] due to FIS have the capability to develop the model with the highest accuracy [8, 9]. Thus, in this study the FIS development of trail Albireo (β Cyg) star using meteorological data were combined by Artificial Neural Network (ANN) in near future to estimate seeing star value namely the seeing star modelling based Adaptive Neuro-Fuzzy Inference System (ANFIS) using surface

(21)

Implementation of Marker-Based Augmented

Reality on Elementary School Geometry Textbook

• The English is bad. “Geometry is one of material that is learned in mathematic.” What do you mean by material?

• What is the main contribution. “On this research will be implemented marker based tracking method on application and geometry learning for elementary school. With this research is expected geometry

application based augmented reality with this marker based tracking method can show 3 dimension geometry then it can add elementary

student’s interest and understanding which learn it.”

(22)

AHP-TOPSIS for Analyze Job Performance with

Factor Evaluation System and Process Mining

• What is the main contribution? “This paper is a continuation of

(23)

Anomaly Detection Based on Control-flow Pattern

of Parallel Business Processes

• I don’t understand what is the main contribution. “To conduct process discovery, a graph database is used in this research. At present need, enterprises do not only need to manage larger data volumes, but also

generate information from existing data. Therefore, the relations between data are becoming more important. Database technology is required to

store information of interconnected activities. Therefore, a graph database is flexible to be applied in business needs [15]. A graph database is used to store data and show relations between the data [16]. Not only to store

(24)

Electromagnetic Interference Shielding in

Unmanned Aerial Vehicle for Lightning Strike

• What is the main contribution? “This paper focus on application of

(25)

TEMPERATURE AND HUMIDITY MONITORING ON

HYDROPONIC FARMING BASED ON ARDUINO UNO

• It is not clear the background and the main contribution.

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