bluuebunny/crossref_metadata_2025_split huggingface dataset:
Decision Support System for Teacher Performance Assessment of SMK Nusantara 1 Ciputat Based on AHP and TOPSIS
Authors: Hafizah Husnul , Napitupulu Darmawan , Adiyarta Krisna , Windarto Agus Perdana 
Published: September 2019

Abstract
SMK Nusantara 1 Ciputat is a vocational high school that has seven vocational schools including: Multimedia, Software Engineering, Computer and Network Engineering, Marketing, Accounting, Catering and Hospitality Services. To improve the quality of education in schools, principals are required to know information about the performance of educators in their schools. At present, the Ciputat 1 Vocational School principal has difficulty in making decisions on teacher performance appraisal because there is no weighting on teacher performance appraisal competencies that refer to Minister of National Education Regulation 16/2007 concerning Academic Qualification Standards and Teacher Competencies. Therefore, the AHP method is used to determine the weight of teacher competency and TOPSIS is used to produce a ranking on teacher alternatives according to the weight of the competencies determined by the AHP method. The results of weighting teacher competency with the AHP method have tested the consistency of the ratio of 0.088, this value is said Consistent because it is still below 0.1. Based on the weighting of the teacher’s competency, an alternative ranking is obtained in the assessment of teacher performance using the TOPSIS method with the highest teacher’s alternative value of 0.8052.
Algorithm Advanced Control Chaos and Stabilization Measurement Error
Authors: Wanayumini  , Zarlis Muhammad , Suwilo Saib , Furqan Mhd. , Fauzi Rahmat , Syarifah Tengku 
Published: September 2019

Abstract
Measurement error in the data sample human voice from the data 1 to 17 obtain measurement results with the algorithm Advanced Chaos Control and Stabilization through several stages of delivery of the process control and and stabilizing the data to find the value of noise and bias in the initial process control and find the value of precision and accuracy in both the stabilization process. Stable value which must be controlled ranging 58,9922dB and 60,47059dB with a standard value of 60dB.
A Goal Programming Model for Solving Renewable Energy Planning Problem Generated from Palm Oil Waste
Authors: Amien Syamsul , Pandia Setiaty , Mawengkang Herman , Nasution Harmein 
Published: September 2019

Abstract
It is widely acknowledged that energy plays central role to achieving goals of modern society. Many developing countries face population growth that far exceeds planned rates of grid connection, so that many will either remain without energy, or be forced to migrate to urban areas where the infrastructure is already over burdened. However, nowadays the world is plaque with global warming problem due to the energy inefficiencies. This paper describes a plan about how to get renewable energy from the processed whole waste of oil palm. As there are three objectives should be fulfilled, we model the plan using multi-objective programs. The result shows that it is possible to get optimal energy while minimizing the waste created from oil palm.
Web-Based Geographic Information System (GIS) in Determining Shortest Path of MSME Medan City Using Bellman-Ford Algorithm
Authors: Arrumdany Ayu Cahyany , Sari Putri Perdana , Rahmadani Paet , Lubis Ahmadi Irhamsyah 
Published: September 2019

Abstract
Micro, Small and Medium Enterprises (MSME) are one of the drivers of Indonesian economy but have problems in introducing their products to the public. In addition, public ignorance of MSME and their products is another problem experienced by MSME. Therefore, a system is needed that can become a forum for MSME to introduce their businesses and display complete information about the MSME business in Medan City, such as a geographical information system that contains a mapping of the shortest MSME routes, estimated distances and travel time to these MSME. This study uses Bellman-Ford algorithm and Euclidean Distance method to map the shortest route to MSME. Based on the testing, a system is obtained that allows administrators to input MSME data and allows users to search for information about a MSME and its address along with mapping the shortest route.
Developing an Exact Method for Solving Non Linear Integer Goal Programming Problems
Authors: Sitopu Joni Wilson , Mawengkang Herman , Suwilo Saib 
Published: September 2019

Abstract
The nonlinear goal programming problem focused in this paper has a special structure characterized by a subset of variables restricted to assume discrete values, which are linear and separable from the continuous variables. The strategy of releasing nonbasic variables from their bounds, as used in linear goal program, combined with the reduced gradient method, has been developed. This strategy is used to force the appropriate non-integer basic variables within a priority level to move to their neighbourhood integer points.
Meta-Heuristic Development in Combinatorial Optimization
Authors: Iqbal Muhammad , Zarlis Muhammad , Tulus  , Mawengkang Herman 
Published: September 2019

Abstract
The quadratic assigment problem is a combinatorial problem of deciding the placement of facilities in specified locations in such a way as to minimize a nonconvex objective function expressed in terms of distance between location and flows between facilities. Due to the non-convexity nature of the problem, therefore to get a ‘good’ starting point is necessary in order to obtain a better optimal solution. In this paper we propose a meta heuristic strategy combined with feasible neighbourhood search to get ‘optimal’ solution. From computational experience in solving some backboard wiring problems, it turns out that the approach proposed is promising.
The Relation between Almost Noetherian Module, Almost Finitely Generated Module and T-Noetherian Module
Authors: Faisol A , Surodjo B , Wahyuni S 
Published: September 2019

Abstract
In this paper we study the relation between almost Noetherian modules, almost finitely generated (a.f.g.) modules, and T-Noetherian modules. We show that if R’ = {r ∈ R|rM ≠ M} and M is an almost Noetherian (a.f.g. resp.) R-module, then M is an (R’)-Noetherian module. We also obtain that for any multiplicatively closed subset T of a ring R and R’ = {r ∈ R|rM ≠ M}, if M is an almost Noetherian (a.f.g. resp.) R-module and

T
∩
R
’
≠

0

, then M is (T ∩ R’)-Noetherian. Moreover, we show that if M is an almost Noetherian (a.f.g. resp.) R-module and

T
∩
R
’
≠

0

, then M is an T-Noetherian module for every multiplicatively closed set T ⊆ R. Finally, we apply the results of this paper on the structure of Generalized Power Series Module (GPSM) M[[S]].
A New Approach in Decision of Pareto Efficient Concept in Probabilistic Vendor – Buyer Supply – Chain Problem for Imperfect Quality with Lead – Free Demand
Authors: Setiawan R 
Published: September 2019

Abstract
In this paper, the mathematical analysis of optimal solution or Economic Order Quantity (EOQ) of probabilistic vendor-buyer systems has been analyzed using Pareto optimal concept. It’s assumed that lead time length is limited. The quality of the product from vendor is not always 100% perfect, so imperfect quality product always exist due to specific probability rate. Pareto optimal concept has been used to find the weighted sum of the players’ objectives. Karush – Kuhn – Tucker (KKT) criteria is applied to determine the optimum value of decision variables and also minimum value of total cost as objectives function. Numerical example of appropriate simulation data is provided to compare the analytical result and to find how the effectiveness the Pareto Optimal concept to minimize the inventory cost in probabilistic assumptions rather than integrated scheme
Total Edge Irregularity Strength of Arithmetic Book Graphs
Authors: Ratnasari Lucia , Wahyuni Sri , Susanti Yeni , Junia Eksi Palupi Diah , Surodjo Budi 
Published: September 2019

Abstract
For any simple undirected graph G(V, E), a map f : V ⋃ E → {1, 2, …, k} such that for any different edges xy and x’y’ their weights are distinct is called an edge irregular total k-labeling. The weight of edge xy is defined as the sum of edge label of xy, vertex label of x and vertex label of y. The minimum k for which the graph G has an edge irregular total k-labeling is called the total edge irregularity strength of G and is denoted by tes(G). In this paper, we determine the exact value of the total edge irregularity strength of odd arithmetic book graph Bn
(C
3, 5, 7, …2n+1) and even arithmetic book graph Bn
(C
4, 6, 8, …, 2n+2) of n sheets. We found that the tes of odd arithmetic book graph Bn
(C
3, 5, 7, …, 2n+1) of n sheets is equal to the ceiling function of

n
2

+
n
+
3

3

and the tes of even arithmetic book graph Bn
(C
4, 6, 8, …, 2n+2) is equal to the ceiling function of

n
2

+
2
n
+
3

3

.
Spatial Lag Fixed Effect Panel Model with Weights Queen Contiguity for Economic Growth Data of ASEAN Member Countries
Authors: Wisnumurti R D , Pratiwi H , Handajani S S 
Published: September 2019

Abstract
The development of a country is in line with its economic growth, the greater percentage of economic growth, makes the greater development in the country, and vice versa. Economic growth is the process of changing a country’s economic condition that is sustainable towards a better state during a certain period. Currently, world economic growth is getting stronger, including the economic growth of ASEAN member countries. This paper will discuss about estimating the model of economic growth of ASEAN member countries using spatial lag fixed effect panel data with weightes queen contiguity. In this research, the author uses the spatial panel data approach. Panel data model is a regression model that uses panel data. The use of panel data aims to reduce collinierity between independent variables. Spatial effects are used to determine the magnitude of geographical factors. This research data consists of some indicators of world economy issued by the IMF in Southeast Asia region during the period of 1980 to 2017. The results of this research can be used to give consideration in determining policies to increase economic growth of ASEAN member countries.
The r-dynamic chromatic number of corona of order two of any graphs with complete graph
Authors: Dafik  , Agustin I H , Wardani D A R , Septory B J , Kristiana A I , Kurniawati E Y 
Published: September 2019

Abstract
The corona of two graphs G and H is a graph G ⊙ H formed from one copy of G and |V (G)| copies of H where the ith vertex of G is adjacent to every vertex in the ith copy of H. For any integer l ≤ 2, we define the graph G ⊙
l H recursively from G ⊙ H as G ⊙
l H = (G ⊙
l–1
H) ⊙ H. Graph G ⊙
l H is also named as l-corona product of G and H. The r-dynamic chromatic number is the minimum k such that graph G has an r-dynamic k-coloring, denoted by χ
r
(G). An r-dynamic coloring of a graph G is a proper k-coloring of graph G such that the neighbors of any vertex v receive at least min{r, d(v)} different colors. In this paper, we analyze the r-dynamic chromatic number of corona order two graph, denoted by G ⊙2
H; G is complete graph and H are any graph.
Optimizing Range Norm of The Image Set of Matrix over Interval Max-Plus Algebra with Prescribed Components
Authors: Siswanto  , Suparwanto A , Rudhito M A 
Published: September 2019

Abstract
Let ℝ be the set of all real numbers and ℝε = ℝ ⋃ {ε} whose ε = –∞. Max-plus algebra is the set ℝε that is equipped two operations maximum and addition. It can be formed matrices in the size of m × n whose elements belong to ℝε, called matrix over max-plus algebra. Optimizing range norm of the image set of matrix over max-plus algebra with prescribed components has been discussed. Interval Max-Plus Algebra is the set

I

(
ℝ
)

ε

=

{

x
=
[

x
_

,

x
¯

]
|

x
_

,

x
¯

∈
ℝ
,
ε
<

x
_

≤

x
¯

}

∪

{
ε
}

with ε = [ε, ε], is equipped with two operations maximum

(

⊕
¯

)

and addition

(

⊗
¯

)

. The set of all matrices in the size of m × n whose elements belong to I(ℝ)ε, called matrix over interval max-plus algebra. Optimizing range norm of the image set of matrix over interval max-plus algebra has been discussed. In this paper, we will discuss optimizing range norm of the image set of matrix over interval max-plus algebra with prescribed components.
The role of river runoff in the Kara Sea surface layer acidification and carbonate system changes
Authors: Polukhin Alexander 
Published: September 2019

Abstract
This study aims to perform the results of the investigation of the Kara Sea carbonate system (CS) changes and the factors that determine it. The important feature of the Kara Sea water structure is strong stratification caused mainly by the Ob’ and Yenisey rivers discharge which is estimated as 81% of the total continental runoff to sea. Occurring climate changes, as an increase in the total volume of the Arctic Ocean water (due to melting of glaciers, sea ice decline and river runoff increase), air temperature and CO2 concentration growth should affect greatly the Kara Sea CS. However, riverine water influence seems to be the main driver of future acidification of the Kara Sea water due to permafrost thawing as it stores a great amount of buried carbon. An increase of carbon (mainly inorganic) flow to the sea will lead to carbonate equilibrium shift, oxidation of organic matter and release of CO2 that ultimately leads to a decrease in pH and therefore acidification. The area of the riverine plume depends on the amount of freshwater flowing into the sea and the conditions of the wind forcing. According to the data from Shirshov Institute cruises within the plume area aragonite saturation is below 1 that shows its state as acidified. Prevalence of pCO2 values in the freshened surface layer over the atmospheric shows that atmospheric carbon dioxide, apparently, cannot serve as the main driver for the acidification of the surface waters of the Kara Sea. At the shallow shelf to the north of the Ob′ Inlet mouth we observe acidification of the whole water column from surface to the bottom layer due to elevated riverine discharge and increase of flowing terrestrial carbon.
Mid-20th century warming hole boosts US maize yields
Authors: Partridge Trevor F , Winter Jonathan M , Liu Lin , Kendall Anthony D , Basso Bruno , Hyndman David W 
Published: September 2019

Abstract
The Corn Belt of the United States, one of the most agriculturally productive regions in the world, experienced a globally anomalous decrease in annual temperatures and a concurrent increase in precipitation during the mid- to late-20th century. Here, we quantify the impact of this ‘warming hole’ on maize yields by developing alternative, no warming hole, climate scenarios that are used to drive both statistical and process-based crop models. We show that the warming hole increased maize yields by 5%–10% per year, with lower temperatures responsible for 62% of the simulated yield increase and greater precipitation responsible for the rest. The observed cooling and wetting associated with the warming hole produced increased yields through two complementary mechanisms: slower crop development which resulted in prolonged time to maturity, and lower drought stress. Our results underscore the relative lack of climate change impacts on central US maize production to date, and the potential compounded challenge that a collapse of the warming hole and climate change would create for farmers across the Corn Belt.
Identifying multidisciplinary research gaps across Arctic terrestrial gradients
Authors: Virkkala A-M , Abdi A M , Luoto M , Metcalfe D B 
Published: September 2019

Abstract
Global warming is driving environmental change in the Arctic. However, our current understanding of this change varies strongly among different environmental disciplines and is limited by the number and distribution of field sampling locations. Here, we use a quantitative framework based on multivariate statistical modeling to present the current state of sampling across environmental disciplines in the Arctic. We utilize an existing database of georeferenced Arctic field studies to investigate how sampling locations and citations of disciplines are distributed across Arctic topographical, soil and vegetation conditions, and highlight critical regions for potential new research areas in different disciplines. Continuous permafrost landscapes, and the northernmost Arctic bioclimatic zones are studied and cited the least in relation to their extent in many disciplines. We show that the clusters of sampling locations and citations are not uniform across disciplines. Sampling locations in Botany and Biogeochemistry cover environmental gradients the best, and Microbiology, Meteorology, Geosciences And Geographic Information Systems/remote Sensing/Modeling have the worst coverage. We conclude that across all disciplines, more research is needed particularly in the Canadian Arctic Archipelago, northern Greenland, central and eastern Siberia, and in some disciplines, in Canadian mainland, central Alaska, western Siberia and northern Taimyr region. We provide detailed maps of potential new sampling locations for each environmental discipline that consider multiple variables simultaneously. These results will help prioritize future research efforts, thus increasing our knowledge about the Arctic environmental change.
Design and automation of a solar-powered floating-type aeration system (SPFTAS) for fish ponds
Authors: Borres E C , Sayco T B , Espino A N , Sacdalan JP C 
Published: September 2019

Abstract
Aeration helps improve water quality and make it favorable to fish. SPFTAS was designed based on the environment and characteristics of freshwater ponds. SPFTAS consist of floating platform, power source, sensors, signaling and aeration system. It functions to disperse and increase dissolved oxygen (DO). It possessed capability to monitor real time condition of water, store data and send it through short messaging service (SMS). The SPFTAS oxygen transfer rate was 0.07 kg of oxygen using four diffusers and the standard aeration efficiency of 0.2710 kg oxygen/hp-hr. The standard oxygen transfer efficiency was 0.36 at 18 kg of oxygen transferred. SPFTAS increased DO level to 1.32 ppm and rated highly effective during the test. DO levels using 1, 2, 3 and 4 diffusers at different depths, distances and time results were significantly different. The DO level using different diffusers at time intervals was highest at 7.16 ppm in three hours operation. The total cost of automated SPFTAS was ₱ 170, 385.75. The cost analysis of using the machine indicated a breakeven point of 1, 440 hours per year. The annual operation expected save ₱ 32, 737.39 and expected recover the investment in 5.33 years. Finally, machine was found beneficial to increase DO concentration in fishponds.
Effect of moisture to shear strength trend of Khao Dok Mali 105 stems
Authors: Khaeso Kantapong , Laloon Kittipong 
Published: September 2019

Abstract
In the current rice harvesting, there is a growing popularity of combine harvesters. However, the study of the mechanical and physical properties of Thai rice stems is still limited. This research aims to study the trend of shear strength in various moisture including 50.3, 49.0, 46.6, 24.5, and 20.0 % w.b. of 3 Internodes stem of Khao Dok Mali 105. The shear strength was measured by the Lloyd LR50K Plus Materials Testing Machine. Data analysis software with NEXYGENPlus. With 1 kN of the load cell that combined with the designed shear test equipment. 30 rice stems sample tests per 1 moisture were used which divided into 3 internodes including N1 (upper internode), N2 (middle internode), and N3 (lower internode). The result shows that the shear strength was in the range 5.60-12.02, 5.93-12.96, and 6.07-14.22 MPa which is represented for N1, N2, and N3 respectively. In summary, the shear strength tended to decrease depending on the moisture of rice stems which affected to elasticity of fibers in rice stems. Therefore, this study suggested that the moisture of stems is directly affecting the shear strength.
The effect of blade type and speed to the bananas plant chopping machine
Authors: Thangdee D , Thangdee S 
Published: September 2019

Abstract
This research was aimed to find the best of blade and speed condition for the bananas plant chopping machine. The study consisted of three levels of blade types: straight edge blade, forward curved edge blade, and backward curved edge blade, with three levels of revolution speed of 100, 500, and 1000 rpm. The working capacity and specific power consumption were used as indicators. The results revealed that the 4 blades of straight edge blade and 4 blades forward curved edge blade with 1000 rpm gave the highest working capacity while power consumption remained insignificant.
Performance evaluation of a small backyard hydroponics greenhouse using automatic evaporative cooling system
Authors: Chamroon C , Aungkurabrut R 
Published: September 2019

Abstract
This work studied the automatic greenhouse evaporative cooling system in hydroponics for household. The objectives of this study were to design the automatic feeding nutrient solution system and determine the performance of automated greenhouse evaporative cooling system for a small backyard. The microcontroller (Arduino Uno R3) was used in both systems and the dimensions were the same design as a 1 m of width, 2 m of length and 1.75 m of height especially for household. In the study, the conventional cultivation hydroponics had been constructed in parallel to be a reference of a study. The results show that the automatic feeding nutrient solution system (AFNSS) can precisely control the flow rate at 6±2% LPM. In addition, the automated greenhouse evaporative cooling system (AGECS) also effectively maintains the planting conditions for hydroponics and the control performance index (J) is 0.14 when setting temperature at 29.0±1°C. Finally, the lettuce production in AGECS gives the statistical significance at 0.05 and payback period of this system is 3.3 years. For this design, the automatic system is simple to control and reliable, more productive, and not dependent on seasons, as well as renewable electricity sources, then, it is practical for home vegetable gardeners.
Precision test for the spectral characteristic of FT-NIR for the measurement of water content of wheat straw
Authors: Fonseca F G , Funke A , Saechua W , Sirisomboon P 
Published: September 2019

Abstract
Near Infrared (NIR) Spectroscopy is widely employed as a rapid technique for the evaluation of properties of biomass materials. Precision and accuracy of the instruments is an important aspect in order to minimize error in the determination of results. The objective of this publication is to determine scanning repeatability and reproducibility of the NIR spectrometer for wheat straw (Triticum aestivum L.), using either a fixed scan or a rotating scan. The former presented marginally better repeatability but worse reproducibility. Samples in equilibrium with the local atmosphere versus samples of controlled and different moisture contents were also compared, and the latter performed better on the precision test but both fixed and rotating scans. As the ultimate objective of this test is the use of this method to determine variations between different moisture content, and as the rotating scan presents better reproducibility, this method was selected as the reference method for further NIR analyses focused on the variation of moisture content.