bluuebunny/crossref_metadata_2025 huggingface dataset:
Organomineral Phosphate Fertilizers: Agronomic Efficiency and Residual Effect on Initial Corn Development
Authors: Sakurada L. R. , Batista M. A. , Inoue T. T. , Muniz A. S. , Pagliari P. H.
Published: July 2016

This research investigated the efficiency and residual effects of two solid organomineral fertilizers on corn (Zea mays L.) shoot dry matter (SDM), P uptake, P recovery index, P use efficiency index, accumulated SDM (ASDM), and total P uptake. This was a greenhouse pot study where organomineral‐granulated (OG) fertilizer, organomineral‐pelletized (OM) fertilizer, and inorganic fertilizer mix (MM) were tested on a Eutropherric Red Latossol clay soil (Oxisol). Phosphorus (P) rates were 0, 25, 50, 100, and 200 mg kg−1. Two plants were grown in each pot for 35 d before harvest; this cropping cycle was repeated consecutively four times on the same pots. Corn SDM for OM in the first cropping cycle was three times lower than for OG and MM at the highest P rate, was similar among all sources in the second and third cycles, and in the last cropping cycle was on average two times higher for the OM and MM compared with OG. Tissue P uptake was on average 50% greater for OM and MM than for OG. Corn ASDM and total P uptake were significantly greater (on average 35% for ASDM and 40% for total P uptake) with MM and OM than with OG for the majority of the rates. The P recovery index was the same in the first cropping cycle among all sources; however, it was significantly higher (60% on average) for MM and OM in the last two cycles than for OG. No difference in P use efficiency of corn plants was observed between fertilizer sources.

Organomineral fertilizers made with different techniques yield fertilizers with different P availability.

We observed a different residual effect among the mineral and organomineral fertilizers.

The P release kinetics of the mineral fertilizer are different compared with the organomineral.

The P content extracted by water in the fertilizers is the main index of the phosphate fertilizer efficiency.
Nitrogen Rate and Initiation Date Effects on Stockpiled Tall Fescue During Fall Grazing in Tennessee
Authors: Nave Renata L.G. , Barbero Rondineli P. , Boyer Chris N. , Corbin Michael D. , Bates Gary E.
Published: July 2016

In Tennessee, N is one of the most common limiting nutrients for tall fescue [Schedonorus arundinaceus(Schreb.) Dumort] production. Rising prices for N fertilizer have pressured cow‐calf producers in Tennessee to reevaluate N management alternatives. The objectives of this study were to determine the effect of initiation date and N fertilization on stockpiled tall fescue yield, nutritive value, animal performance during fall grazing, and overall profitability of the production system. The research was conducted in tall fescue pastures at the Plateau AgResearch and Education Center in Crossville, TN from August 2013 to December 2014. A completely randomized design with three replications was applied to existing tall fescue pastures. Stockpile initiation dates were 1 August and 1 September, and N fertilization rates were 0 and 60 lb/acre N. With the exception of crude protein (CP) and in vitro dry matter digestibility (IVDMD), all other plant‐related variables analyzed in this study showed a significant difference among monthly grazing periods. Nitrogen fertilization rate did not affect forage mass or nutritive value in both years. There were no significant interactions between initiation date and N fertilization rate for all animal performance measures. Data from this study suggests that with low beef prices ($0.75/lb), profits are maximized by initiating stockpiling in August with no N application.
Long‐Term Corn Residue Grazing Improves Subsequent Soybean Yields in a Corn–Soybean Rotation
Authors: Drewnoski Mary E. , MacDonald Jim C. , Erickson Galen E. , Hanford Kathy J. , Klopfenstein Terry J.
Published: July 2016

A 90‐acre irrigated field was utilized in which half of the field was planted to corn (Zea mays L.) and the other half was planted to soybeans [Glycine max (L.) Merr.], and crops were alternated yearly. Each half was divided into two replicates of three treatments in which corn residue was: fall/winter grazed (FG) November to February (∼90 days), spring grazed (SG) February to mid‐April (∼70 days), and not grazed (NG). Calves (500–700 lb body weight) were stocked at 1.2 head/acre in FG throughout the trial and in SG for 5 years, then stocking rate was increased to 3 head/acre in SG. For FG, no‐till planting was utilized. Within SG and NG, three tillage treatments, no‐till, ridge‐till, or spring‐disk‐till, were imposed after corn, with no‐till following soybeans. These tillage treatments were maintained for 9 years, after which only the no‐till was continued for 7 more years. For both corn and soybean yields, no interaction (P ≥ 0.55) between tillage and grazing occurred over the 9 years. Across all tillage treatments, SG increased (P < 0.01) soybean yields over NG (58.5 and 57.0 bu/acre, respectively) and had no effect (P = 0.58) on corn yields. On land managed under no‐till throughout the trial, FG (65.5 bu/acre) improved (P < 0.01; SEM = 0.54) and SG (63.5 bu/acre) tended (P = 0.07) to improve soybean yields over NG (62.1 bu/acre), and FG tended (P = 0.07; 211 bu/acre) to improve corn yield over NG (207 bu/acre) while SG (209 bu/acre) did not differ (P = 0.27) from NG. These data suggest that grazing of corn residue at stocking rates that would result in consumption of 10 to 22% of the residue appears to have slightly positive or no impacts on subsequent soybean or corn yields.
Within‐Season Growth and Spectral Reflectance of Cotton and their Relation to Lint Yield
Authors: Attia Ahmed , Rajan Nithya
Published: July 2016

Within‐season measurements of cotton (Gossypium hirsutum L.) growth and development in response to moisture deficit stress can provide insight into how management practices impact plant health and yield. The objectives were to investigate responses of leaf area index (LAI), normalized difference vegetation index (NDVI), normalized difference water index (NDWI), and crop water stress index (CWSI) and their relation to the lint yield of four cotton cultivars (PHY499, DP1044, PHY375, and FM9170) grown under various irrigation levels for two consecutive growing seasons at Chillicothe, TX. Plants exposed to water stress showed significant LAI, NDVI, and NDWI decrease and CWSI increase compared with well‐watered plants. The NDVI reached a plateau value of 0.89 at 82 d after planting (DAP), while NDWI increased steadily to the end of the growing seasons for the high irrigation level. The high irrigation level had the greatest lint yield of 1670 and 1846 kg ha−1 in 2013 and 2014, respectively. Fiber length, strength, and micronaire showed significant differences among irrigation levels. Compared with dryland, an average 8% increase in fiber length and strength and 10% decrease in micronaire were observed by the high irrigation level. High positive correlations of LAI, NDVI, and NDWI with lint yield were observed in both years. The CWSI differentiated low vs. high irrigated plants and was negatively correlated with lint yield. The results indicated that these measurements at different growth stages are useful to detect growth and water status for cotton in the semiarid Texas Rolling Plains.
Northern U.S.–Adapted 2,4‐D‐Resistant Red Clover
Authors: Riday Heathcliffe
Published: July 2016

2,4‐Dichlorophenoxyacetic acid (2,4‐D)–resistant red clover (Trifolium pratense L.) varieties would offer producers more weed control options, particularly in mixed grass–red clover pastures. In the 1980s, work was initiated in Florida to select for 2,4‐D‐tolerant red clover. However, this Florida germplasm was not adapted to cool, humid regions in the northern United States. A greenhouse selection program was initiated to develop 2,4‐D‐resistant germplasm (WI‐2,4D12) that is more adapted to the northern United States. A study was conducted to determine field resistance of the WI‐2,4D12 germplasm to 2,4‐D application. Two months post‐2,4‐D application (1.3 kg a.i. ha−1) plant percentage survival rates of 84.3% of WI‐2,4D12 red clover compared with 7.7% of non‐herbicide‐tolerant standard red clover were observed. Postherbicide application WI‐2,4D12 red clover plant vigor ratings were 71.2% of their preherbicide application ratings, while postherbicide application non‐herbicide‐tolerant red clover plant vigor ratings were at 2.2% of their preherbicide application ratings. This study confirms the feasibility of developing herbicide‐resistant forage crops using conventional breeding. Future breeding work should focus on further improving red clover 2,4‐D tolerance to eliminate herbicide plant injury. Ascertaining the genetic basis of this resistance would facilitate more rapid movement of the resistance into commercial red clover cultivars.
Transgressive Variation for Yield Components Measured throughout the Growth Cycle of Jefferson Rice (Oryza sativa) × O. rufipogon Introgression Lines
Authors: Eizenga Georgia C. , Edwards Jeremy D. , Yeater Kathleen M. , McCouch Susan R. , McClung Anna M.
Published: July 2016

Previous studies demonstrated that alleles introduced into elite rice (Oryza sativa L.) cultivars from the wild, ancestral species Oryza rufipogon Griff. enhanced yield as a result of transgressive variation. A study was conducted to unveil the phenological and agronomic mechanisms that underlie increased yields in introgression lines (ILs) developed through backcrossing an O. rufipogon accession [International Rice Germplasm Collection (IRGC) 105491] with the recurrent parent, ‘Jefferson’, a U.S. long‐grain variety. Phenological development and agronomic and yield component traits of Jefferson and eight ILs, each carrying a major introgression for one of six quantitative trait loci (QTLs) for yield (yld 1.2, yld 2.1, yld 3.2, yld 6.1, yld 8.1, and yld 9.1) were determined in greenhouse studies over 2 yr. A novel method to estimate aboveground biomass nondestructively with digital images was used. The higher yielding ILs had slower phenological development and produced more biomass than Jefferson. Comparison of the yield component traits at maturity revealed longer flag leaves and panicles in all ILs than in Jefferson, with differences for five wild QTLs (yld 1.2, yld 2.1, yld 3.2, yld 8.1, and yld 9.1) introgressions being significant. Three ILs with introgressions from yld 6.1 and yld 9.1 had significant increases in primary panicle branch number. Six of the ILs had more florets per panicle and introgressions for three of the wild QTLs (yld 2.1, yld 6.1, and yld 8.1) produced significantly more seed. These results support an additive model of transgressive variation, where the inferior wild donor introgressions contribute variation in traits (e.g. growth rate, flag leaf length, and panicle size) that increase yield in an elite genetic background.
Seventy‐five Years of Improvement of Yield and Agronomic Traits of Soybean Cultivars Released in the Yellow‐Huai‐Hai River Valley
Authors: Wang Caijie , Wu Tingting , Sun Shi , Xu Ran , Ren Jianjun , Wu Cunxiang , Jiang Bingjun , Hou Wensheng , Han Tianfu
Published: July 2016

Yellow‐Huai‐Hai River Valley (YHH) in China has a long history of soybean [Glycine max (L.) Merr.] breeding. The genetic improvement of yield and agronomic traits of soybean cultivars due to breeding is rarely documented. The objectives were to analyze the trend of changes on widely‐grown soybean cultivars in this region. Twenty‐five soybean cultivars released over the period from 1929 until 2004 were selected. The field trial was conducted in three locations in 2 yr (2009–2010) and one location in 2011. Linear, bilinear, and quadratic regression models were built and compared to determine the rate of change for each trait. The yield gain was 9.97 kg ha–1 yr–1 during the eight decades. Current cultivars had shorter plant height, fewer nodes, higher lodging resistance, fewer pods per plant, fewer seeds per plant, more seeds per pod, higher 100‐seed weight (100‐SW) and higher yield than ancestral cultivars. The changing rates of these traits were either constant or variable with linear or quadratic models. Plant height (PH), height of the lowest pod (HLP), and seeds per pod (SPPOD) of new cultivars were more stable across environments than old cultivars, whereas lodging score (LS) and yield were less stable across environments. Yield increase was mainly attributed to an increase in SPPOD and seed weight rather than pods per plant (PPP). Collectively, improvements in agronomic and yield traits were significant during the 75‐yr‐long breeding effort. This study also shed light on developing future breeding strategies in the YHH.
Interaction of Genetic Mechanisms Regulating Methionine Concentration in Maize Grain
Authors: Huffman Ryan D. , Edwards Jode W. , Pollak Linda M. , Scott M. Paul
Published: July 2016

Methionine is a limiting amino acid in poultry diets, so methionine supplementation is typically required to meet nutritional demands. Maize (Zea mays L.) varieties with increased methionine levels have been developed using three different approaches: (i) increased levels of the methionine‐rich 10‐kDa zein, (ii) disruption of protein deposition using the floury‐2 allele, and (iii) recurrent selection. The goal of this study was to characterize the interactions of these three mechanisms for increasing methionine to develop optimal breeding strategies for this limiting amino acid. A complete diallel mating design was used to produce all possible hybrid combinations, which were analyzed by Griffing's experimental Method 3, Model 1. Grain samples were analyzed for methionine concentration using a microbial method. The significantly negative general combining ability (GCA) for inbred RS2 suggests it did not perform well in hybrid combination, while the significant specific combining abilities (SCAs) suggest that some specific combinations of mechanisms worked well together in this germplasm. Analysis of grain quality traits by near‐infrared spectroscopy (NIRS) revealed that the high‐methionine hybrid combinations had starch and oil concentrations similar to all other hybrids but had elevated protein concentrations. In some hybrids in this study, dzr1 and recurrent selection were effective mechanisms to elevate methionine in hybrid combination and did not have an associated yield penalty relative to other hybrids produced in the study, which supports their use in a high‐methionine maize breeding program.
Authors: Suhartanto Heru , . Herry
Published: July 2016

Probabilistic Neural Network (PNN) adalah salah satu tipe jaringan neural yang umum digunakan untuk memecahkan permasalahan klasifikasi pola. Di samping struktur jaringan dan metode pelatihan yang sederhana, PNN memiliki kelemahan utama yaitu dalam menentukan struktur jaringan yang terdiri dari penentuan nilai parameter smoothing dan jumlah neuron yang digunakan pada lapisan pola. Dengan adanya kelemahan ini, beberapa peneliti mengajukan algoritma Supervised PNN Structure Determination (SPNN) dengan tujuan untuk mempermudah penentuan struktur PNN. Akan tetapi dalam implementasi iteratif yang telah dilaporkan, SPNN masih memerlukan waktu komputasi yang cukup lama untuk menentukan struktur PNN yang baik. Makalah ini menjelaskan usaha perbaikan kinerja waktu proses implementasi SPNN dengan memperhatikan bagian-bagian proses yang independent serta memodifikasi algoritmanya untuk dapat diterapkan pemrosesan secara paralel. Hasil eksperimen menunjukkan percepatan yang cukup berarti.
Authors: Maruli Manurung Hisar , Tanuwijaya Hansel
Published: July 2016

Mesin penerjemah merupakan alat penerjemah otomatis pada sebuah teks dari satu bahasa ke bahasa lainnya. Mesin penerjemah statistik adalah sebuah pendekatan mesin penerjemah dengan hasil terjemahan dihasilkan atas dasar model statistik yang parameter-parameternya diambil dari hasil analisis korpus teks bilingual (atau paralel). Kualitas hasil terjemahan Bahasa Inggris â€“ Bahasa Indonesia tersebut masih jauh dari sempurna dan memiliki nilai akurasi yang rendah. Diawali dari permasalahan ini, muncullah sebuah ide untuk membuat aturan-aturan restrukturisasi teks pada Bahasa Inggris sesuai dengan struktur Bahasa Indonesia dengan tujuan untuk meningkatkan kualitas dan nilai akurasi hasil terjemahan mesin penerjemah statistik. Aturan restrukturisasi teks tersebut bisa berupa word reordering, phrase reordering, ataupun keduanya. Dalam penelitian ini, penulis merancang 7 buah aturan word reordering, 7 buah aturan phrase reordering, dan 2 buah aturan gabungan phrase reordering dan word reordering. Hasil eksperimen menunjukkan peningkatan akurasi dan kualitas penerjemahan yang efektif diperoleh dengan word reordering. Word reordering dapat memberikan peningkatan nilai BLEU sebesar 1.3896% (dari 0.1871 menjadi 0.1897) dan nilai NIST sebesar 0.6218% (dari 5.3876 menjadi 5.4211). Pada korpus bible, rata-rata nilai peningkatan nilai BLEU yang diperoleh dengan restrukturisasi teks adalah 0.5871% dan untuk nilai NIST terjadi penurunan sebesar 0.0144%. Pada korpus novel, rata-rata nilai peningkatan nilai BLEU yang diperoleh dengan restrukturisasi teks adalah 0.8751% dan untuk nilai NIST terjadi peningkatan sebesar 0.3170%. Besarnya peningkatan dan penurunan yang terjadi pada penelitian ini cenderung kecil (masih di bawah 1%). Hal ini disebabkan aturan penerjemahan Bahasa Inggris-Indonesia menggunakan aturan MD-DM yang melibatkan penukaran kata yang jaraknya dekat sudah tercakup dalam distortion model pada mesin penerjemah statistik berdasarkan frase.
Authors: Jatmiko Wisnu , Alvissalim M. S. , Febrian A. , Y.S. Dhiemas R.
Published: July 2016

Permasalahan search-and-safe merupakan salah satu contoh robot otonom dapat disimulasikan untuk menggantikan pekerjaan manusia di lingkungan berbahaya, misalnya pada kegiatan evakuasi manusia dari ruang tertutup yang terbakar. Dalam contoh ini, robot otonom harus dapat menemukan objek manusia untuk diselamatkan, serta objek api untuk dipadamkan. Lebih jauh lagi, untuk dapat menyelesaikan permasalahan seperti ini dengan baik, robot otonom harus dapat mengetahui keberadaannya, bukan hanya posisi dalam sistem koordinat global saja tetapi juga posisi relatif terhadap posisi tujuan dan keadaan lingkungan itu sendiri. Permasalahan ini kemudian dikenal juga sebagai lokalisasi yang menjadi bagian penting dari proses navigasi pada robot otonom. Salah satu metode yang dapat digunakan untuk menyelesaikan permasalahan lokalisasi adalah dengan menggunakan representasi internal peta lingkungan kerja dalam pengetahuan robot otonom. Pada kondisi ketika tidak tersedia informasi mengenai konfigurasi lingkungan, atau informasi yang tersedia sifatnya terbatas, robot harus dapat membangun sendiri representasi petanya dengan dibantu oleh komponen sensor yang dimilikinya. Pada paper ini kemudian dibahas salah satu metode yang dapat diterapkan dalam proses pembangunan peta seperti yang dijelaskan, yaitu melalui adopsi algoritma heuristic searching dan pruning yang sudah dikenal pada bidang kecerdasan buatan. Selain itu juga akan dijabarkan desain robot otonom yang digunakan, serta konfigurasi lingkungan yang digunakan pada studi kasus search-and-safe ini. Diharapkan nantinya hasil yang diperoleh dari penelitian ini dapat diterapkan untuk skala yang lebih besar.
Authors: . Ernastuti , Salim Ravi A. , . Haryanto
Published: July 2016

Odd-even-transposition adalah suatu algoritma paralel yang merupakan pengembangan dari algoritma sekuensial â€œbubble sortâ€. Algoritma odd-even-transposition ini didesain khusus untuk model jaringan array linier (homogen). Untuk n elemen data, kompleksitas waktu dari algoritma bubble sort adalah O(n2), sedangkan pada odd-even-transposition yang bekerja di atas n prosesor adalah ï‘(n). Ada peningkatan kecepatan waktu pada kinerja algoritma paralel ini sebesar n kali dibanding algoritma sekuensialnya. Hypercube dimensi k adalah model jaringan non-linier (non-homogen) terdiri dari n = 2k prosesor, di mana setiap prosesor berderajat k. Model jaringan Fibonacci cube dan extended Lucas cube masing-masing merupakan model subjaringan hypercube dengan jumlah prosesor < 2k prosesor dan maksimum derajat prosesornya adalah k. Pada paper ini, diperlihatkan bagaimana algoritma odd-even-transposition dapat dijalankan juga pada model jaringan komputer cluster non-linier hypercube, Fibonacci cube, dan extended Lucas cube dengan kompleksitas waktu O(n).

Odd-even-transposition is a parallel algorithm which is the development of sequential algorithm â€œbubble sortâ€. Odd-even transposition algorithm is specially designed for linear array network model (homogeneous). For n data elements, the time complexity of bubble sort algorithm is O(n2), while the odd-even-transposition that works with n processor is ï‘(n). There in an increase in the speed of time on the performance of this parallel algorithms for n times than its sequential algorithm. K-dimensional hypercube is a non-linear network model (non-homogeneous) consists of n = 2k processors, where each processor has k degree . Network model of Fibonacci cube and extended Lucas cube are the hypercube sub-network model with the number of processors
Authors: Hasanudin Haris
Published: July 2016

Business software development with global team is increasing rapidly and the programming language as development tool takes the important role in the global web development. The real user friendly programming language should be written in local language for programmer who has native language is not in English. This paper presents our design of BAIK (Bahasa Anak Indonesia untuk Komputer)scripting language which syntax is modeled with Bahasa Indonesian for multitier web development. Researcher propose the implementation of Indonesian Parsing Engine and Binary Search Tree structure for memory allocation of variable and compose the language features that support basic Object Oriented Programming, Common Gateway Interface, HTML style manipulation and database connection. Our goal is to build real programming language from simple structure design for web development using Indonesian lexical words.

Pengembangan bisnis perangkat lunak dalam tim berskala global meningkat dengan cepat dan bahasa pemrograman berperan penting dalam pengembangan web secara global. Bahasa pemrograman yang benar-benar ramah terhadap pengguna harus ditulis dalam bahasa lokal programmer yang bahasa ibunya bukan Bahasa Inggris. Paper ini menyajikan desain dari bahasa penulisan BAIK (Bahasa Anak Indonesia untuk Komputer), yang sintaksisnya dimodelkan dengan Bahasa Indonesia untuk pengembangan web multitier. Peneliti mengusulkan implementasi dari parsing engine Bahasa Indonesia dan struktur binary search tree untuk alokasi memori terhadap variabel, serta membuat fitur bahasa yang mendukung dasar pemrograman berbasis objek, common gateway interface, manipulasi gaya HTML, dan koneksi basis data. Tujuan penelitian ini adalah untuk menciptakan bahasa pemrograman yang sesungguhnya dan menggunakan desain struktur sederhana untuk pengembangan web dengan menggunakan kata-kata dari Bahasa Indonesia.
Authors: Hiryanto Lely , Thio Jacklin Sinthia
Published: July 2016

University Course Timetabling Problem merupakan proses penjadwalan mata kuliah di sebuah universitas yang hasilnya diusahakan seoptimal mungkin untuk tidak saling berbenturan dengan batasan-batasan dan syarat-syarat (constraints) tertentu. Dalam menentukan penjadwalan berbasis perhitungan, salah satu metode yang dapat digunakan adalah Graph Coloring. Graph Coloring merupakan merupakan metode yang paling sederhana dan dapat digunakan untuk menentukan penjadwalan yang memiliki berbagai macam constraints. Pada penelitian ini, peneliti mengusulkan pengembangan dari metode Graph Coloring yang ada untuk membuat penjadwalan mata kuliah yang optimal dengan memertimbangkan berbagai macam constraints. Pengembangan ini diujicobakan ke penjadwalan mata kuliah di Fakultas Teknologi Informasi Universitas Tarumanagara (FTI Untar). Hasil percobaan menunjukkan bahwa pengembangan metode Graph Coloring memberikan hasil penjadwalan yang memenuhi rata-rata 93% seluruh constraints yang ditentukan. Rata-rata 7% pelanggaran constraints dikarenakan keterbatasan jumlah ruang dan total slot waktu kuliah, serta permintaan jadwal tertentu oleh dosen.

University Course timetabling problem is the process of scheduling courses at a university whose results are optimally arranged to not collide with the limits and conditions (constraints) specified. In determining the scheduling komputatif, one method that can be used is the Graph Coloring. Graph Coloring is the simplest method and can be used to determine which have a variety of scheduling constraints. In the present study, the researcher proposes the development of the existing methods of Graph Coloring to make optimal scheduling of courses taking into account various constraints. This development was tested to the scheduling of courses in the Faculty of Information Technology University Tarumanagara (FTI Untar). The experimental results show that the development of methods of Graph Coloring deliver results that meet the scheduling of an average 93% of all the specified constraints. Average of 7% violation constraints due to limitations of space and the total number of time slots in college, and request a specific schedule by the lecturer.
Authors: Saputra Rendy Eka , Wahjuni Sri
Published: July 2016

Most devices in ubiquitous network environment have limited memory and processing power, thus they canâ€™t provide all services even when in suitable locations. Mobile agent technology could be implemented to improve resource efficiency. The goal of this paper is to implement mobile agent technology for location-based printer service. The system consists of four parts: (1) mobile agent server, (2) location-based service server, (3) printer service, (4) client. It is observed that mobile agent offers many advantages for ubiquitous and mobile computing settings.

Perangkat dalam lingkungan ubiquitous memiliki memori dan daya proses yang terbatas, sehingga mereka tidak dapat menyediakan layanan secara utuh bahkan dalam lokasi yang tepat sekalipun.Teknologi mobile agent dapat diterapkan untuk meningkatkan efisiensi sumber daya. Tujuan dari paper ini adalah untuk melihat penerapan teknologi mobile agent pada lokasi berbasis layanan printer. Sistem ini terdiri dari empat bagian: (1) mobile agent server, (2) lokasi yang berbasiskan layanan server, (3) layanan printer, (4) klien. Hal ini menunjukkan bahwa mobile agent menawarkan banyak keuntungan untuk pengaturan komputasi ubiquitous dan mobile.
Authors: Utama Ditdit N , Djatna Taufik , Hambali Erliza , . Marimin , Kusdiana Dadan
Published: July 2016

One of problem faced in supply chain management is path searching. The best path depend not only on distance, but also other variables, such as: the quality of involved companies, quality of delivered product, and other value resulted by quality measurement. Commonly, the ant colony optimization could search the best path that has only one objective path. But it would be difficult to be adopted, because in the real case, the supply path has multi path and objectives (especially in palm oil based bioenergy supply). The objective of this paper is to improve the ant colony optimization for solving multi objectives based supply path problem by using fuzzy ant colony optimization. The developed multi objectives fuzzy ant colony optimization design was explained here, that it was used to search the best supply path.

Salah satu masalah yang dihadapi dalam Supply Chain Management adalah pencarian jalur. Jalur terbaik tidak hanya tergantung pada jarak, tetapi juga variabel lain, seperti: kualitas perusahaan yang terlibat, kualitas produk yang dikirimkan, dan nilai lain yang dipengaruhi oleh pengukuran kualitas. Umumnya, Ant Colony Optimization bisa mencari jalur terbaik yang hanya memiliki satu jalur objektif. Tapi akan sulit untuk diadopsi, karena dalam kasus nyata, jalur supply memiliki banyak jalur dan tujuan (khususnya pasokan minyak kelapa sawit berbasis bioenergi). Tujuan dari penelitian ini adalah untuk meningkatkan Ant Colony Optimization dalam menyelesaikan masalah jalur supply dengan menggunakan Fuzzy Ant Colony Optimization. Tujuan pengembangan Fuzzy Ant Colony Optimization dijelaskan disini, yaitu digunakan untuk mencari jalur supply terbaik.
Authors: Nam Yoonho , Lee Changhoon , Jung Youngman , Jeon Woongryul , Won Dongho
Published: July 2016

In recent years, the number of subscribers of the social network services such as Facebook and Twitter has increased rapidly. In accordance with the increasing popularity of social network services, concerns about user privacy are also growing. Existing social network services have a centralized structure that a service provider collects all the userâ€™s profile and logs until the end of the connection. The information collected typically useful for commercial purposes, but may lead to a serious user privacy violation. The userâ€™s profile can be compromised for malicious purposes, and even may be a tool of surveillance extremely. In this paper, we remove a centralized structure to prevent the service provider from collecting all usersâ€™ information indiscriminately, and present a decentralized structure using the web hosting server. The service provider provides only the service applications to web hosting companies, and the user should select a web hosting company that he trusts. Thus, the userâ€™s information is distributed, and the userâ€™s privacy is guaranteed from the service provider.
Authors: Chen Shuoshuo , Zhao Junbo , Yang Ruiqi
Published: July 2016

In this paper, we discuss about the design, implementation and assessment of a two-stage Arabic speaker recognition system, which aims to recognize a target Arabic speaker among several people. The first stage uses improved DTW (Dynamic Time Warping) algorithm and the second stage uses SA-KM-based GMM (Gaussian Mixture Model). MFCC (Mel Frequency Cepstral Coefficients) and its differences form, as acoustic feature, are extracted from the sample speeches. DTW provides three most possible speakers and then the recognition results are conveyed to GMM training processes. A specified similarity assessment algorithm, KL distance, is applied to find the best match with the target speaker. Experimental results show that text-independent recognition rate of the cascaded system reaches 90 percent.
Authors: Kurniawan Firdaus , Meidia Hira
Published: July 2016

This paper presents the building monitoring system that can determine the building condition in real time and ensure the safety of building operations. This monitoring building system can detect the ambient, CO gas, fan, water leak, and also intrusion detectors, through a wired sensor network. Then the data is processed by a main controller to generate a report that sent to the inspectors through ZigBee and / or sound an alarm if the situation is considered dangerous. Prototype of this monitoring system shows precision and stability with minimal error rate. Main controller can receive data from the sensor network properly and send it through ZigBee modules.
Authors: Liantoni Febri , Kirana Kartika Candra , Muliawati Tri Hadiah
Published: July 2016

Ant Colony Optimization (ACO) is a nature-inspired optimization algorithm which is motivated by ants foraging behavior. Due to its favorable advantages, ACO has been widely used to solve several NP-hard problems, including edge detection. Since ACO initially distributes ants at random, it may cause imbalance ant distribution which later affects path discovery process. In this paper an adaptive ACO is proposed to optimize edge detection by adaptively distributing ant according to gradient analysis. Ants are adaptively distributed according to gradient ratio of each image regions. Region which has bigger gradient ratio, will have bigger number of ant distribution. Experiments are conducted using images from various datasets. Precision and recall are used to quantitatively evaluate performance of the proposed algorithm. Precision and recall of adaptive ACO reaches 76.98 % and 96.8 %. Whereas highest precision and recall for standard ACO are 69.74 % and 74.85 %. Experimental results show that the adaptive ACO outperforms standard ACO which randomly distributes ants.
Authors: Purnomo Dwi , Alhamidi Machmud Roby , Wibisono Ari , Tawakal Muhammad Iqbal
Published: July 2016

Register is one of the computer components that have a key role in computer organisation. Every computer contains millions of registers that are manifested by flip-flop. This research focuses on the investigation of flip-flop performance based on its type (D, T, S-R, and J-K) and architecture (structural, behavioural, and hybrid). Each type of flip-flop on each architecture would be tested in different bit of shift register with parallel load applications. The experiment criteria that will be assessed are power consumption, resources required, memory required, latency, and efficiency. Based on the experiment, it could be shown that D flip-flop and hybrid architecture showed the best performance in required memory, latency, power consumption, and efficiency. In addition, the experiment results showed that the greater the register number, the less efficient the system would be.
Authors: Sari Jayanti Yusmah , Fatichah Chastine , Suciati Nanik
Published: July 2016

In recent years, palm vein recognition has been studied to overcome problems in conventional systems in biometrics technology (finger print, face, and iris). Those problems in biometrics includes convenience and performance. However, due to the clarity of the palm vein image, the veins could not be segmented properly. To overcome this problem, we propose a palm vein recognition system using Local Line Binary Pattern (LLBP) method that can extract robust features from the palm vein images that has unclear veins. LLBP is an advanced method of Local Binary Pattern (LBP), a texture descriptor based on the gray level comparison of a neighborhood of pixels. There are four major steps in this paper, Region of Interest (ROI) detection, image preprocessing, features extraction using LLBP method, and matching using Fuzzy k-NN classifier. The proposed method was applied on the CASIA Multi-Spectral Image Database. Experimental results showed that the proposed method using LLBP has a good performance with recognition accuracy of 97.3%. In the future, experiments will be conducted to observe which parameter that could affect processing time and recognition accuracy of LLBP is needed
DOCUMENT CLUSTERING BY DYNAMIC HIERARCHICAL ALGORITHM BASED ON FUZZY SET TYPE-II FROM FREQUENT ITEMSET
Authors: Musa Saiful Bahri , Kaswar Andi Baso , Supria Supria , Sari Susiana
Published: July 2016

One of ways to facilitate process of information retrieval is by performing clustering toward collection of the existing documents. The existing text documents are often unstructured. The forms are varied and their groupings are ambiguous. This cases cause difficulty on information retrieval process. Moreover, every second new documents emerge and need to be clustered. Generally, static document clustering method performs clustering of document after whole documents are collected. However, performing re-clustering toward whole documents when new document arrives causes inefficient clustering process. In this paper, we proposed a new method for document clustering with dynamic hierarchy algorithm based on fuzzy set type - II from frequent itemset. To achieve the goals, there are three main phases, namely: determination of key-term, the extraction of candidates clusters and cluster hierarchical construction. Based on the experiment, it resulted the value of F-measure 0.40 for Newsgroup, 0.62 for Classic and 0.38 for Reuters. Meanwhile, time of computation when addition of new document is lower than to the previous static method. The result shows that this method is suitable to produce solution of clustering with hierarchy in dynamical environment effectively and efficiently. This method also gives accurate clustering result.
MODEL PEMILIHAN SERVER SIDE SCRIPTING UNTUK SISTEM INFORMASI SEKOLAH: STUDI KOMPARASI ASP, JSP, PHP, PYTHON, DAN RUBY
Authors: Mustari Dewi
Published: July 2016

There are many criteria that could be used as the basis for the selection of server side scripting that could be applied to the school information system. This study compares several server side scripting that could be applied the school information system. Those server side scripting are ASP, JSP, PHP, Python, and Ruby. This research refers to research done by Oyku Alanbay regarding the selection of softwares. In addition, using the theories regarding the quality of the software as the basis for the determination of selection sub criteria server side scripting to the school information system. In the selection of server side scripting for this school information system with three levels of criteria. As for the level 1 criteria is technology related, user related, and vendor related, level 2 criterion consists of 18 sub criteria obtained from the special advantages for server side scripting. And level 3 there are five alternatives is ASP, JSP, PHP, Python, and Ruby. In the selection of server side scripting for this school information systems using Analytical Hierarchy Process (AHP) and the tool uses Expert Choice 2000. The results of this election make PHP as server side scripting needs compared to ASP, JSP, Python, and Ruby with 40.6% weighting values with the most influential factor was 60.4% of the user related.
COOPERATIVE READINESS FOR E-LEARNING
Authors: Istyowati Lucia , Evi Tiolina
Published: July 2016

Cooperative is basically an economic organization of the people who have the economic capacity, which is in motion is not only concerned with economic motives. In addition to form a company that requires a profit, the cooperative also has a social motive. This is reflected in the principles espoused. Cooperative is an organization that is familial and managed democratically. In this study the chosen type of credit union, a group of people who agree to raise capital by providing loans to members of its own with a decent interest rate and approved. As one of the requirements in order to be able to make loans to members of cooperatives are the members must have attended training organized by the cooperative board. The spread of the location and the bustle complicate members required to attend training. Development of technology and beneficiaries among members provide alternative learning solutions for members. For that we need to know whether members are ready to accept the training system based on information technology. The readiness of members in this case at CU Melati Kopdit Jagakarta landfill checked by sampling techniques. From preliminary research/beginning it seems that members of the CU Melati landfill Jagakarsa ready to accept the program of distance education (elearning) for cooperative education.
VISUALIZATION OF ONTOLOGY-BASED DATA WAREHOUSE FOR MALARIA SPREAD INCIDENCES USING PROTEGE
Authors: Kardiana Aan , Diana Nova Eka
Published: July 2016

Malaria is a communicable disease caused by a plasmodium parasite and transmitted among human byAnopheles mosquitoes. Late medication of this disease can cause a death of patients. Indonesia hasmany endemic areas with a high volume of patients diagnosed by Malaria. Currently, this incidencesdata are stored in Microsoft Excel files. We need to build a data warehouse to easily manage thesedata. Here, we create ontology of Malaria’s incidence data to figure out the important information inMalaria data warehouse that we want to build. We identify entities, classes, subclasses, andrelationships between these entities. We employed Protégé to build and visualize the ontology ofMalaria’ incidence data.
DESAIN DAN IMPLEMENTASI APLIKASI UNTUK VISUALISASI INFORMASI PADA FILE OFFLINE LOG WEB SERVER
Authors: Kurniawan Agus
Published: July 2016

Hampir sebagian besar web server mempunyai kemampuan untuk menghasilkan file log dalam format file text berbasis delimiter. File log ini dihasilkan setiap hari atau mingguan atau bulanan. Semakin banyak file log yang dihasilkan ini akan berdampak sulitnya dalam menganalisis file log tersebut sehingga diperlukan suatu tool berupa aplikasi yang dapat melakukan konsolidasi file log dan melakukan visualisasi informasi dari data yang terkandung didalam file log tersebut. Pada paper ini akan dipaparkan bagaimana mendesain dan mengimplementasi aplikasi yang dapat melakukan visualisasi pada file log web server.
PENGEMBANGAN APLIKASI WEB DENGAN ICONIX PROCESS DAN UML STUDI KASUS: SISTEM MANAJEMEN ISI
Authors: . Yulianta , Mursanto Petrus
Published: July 2016

Situs web sangat kompleks dengan beragam isi dan dinamis karena selalu menampilkan informasi terbaru. Kompleksitas situs web akan bertambah saat situs web tersebut harus dimodifikasi untuk menambahkan halaman-halaman baru dan fitur-fitur baru sesuai permintaan pengunjung. Untuk menghindari kompleksitas tersebut, perlu diciptakan sebuah aplikasi berbasis web yang dapat digunakan untuk mengelola seluruh sumber daya situs web. Aplikasi ini dikenal dengan sistem manajemen isi (content management system). Makalah ini membagikan pengalaman penulis dalam mengembangkan sistem manajemen isi pada PT X yang dinamai dengan xCMS. Metode pengembangan perangkat lunak yang digunakan adalah ICONIX Process. Metode ICONIX Process menggunakan Unified Modeling Language (UML) sebagai notasi utama untuk mengambarkan dan mendokumentasikan sistem yang dibangun. Makalah ini menguraikan secara garis besar aktifitas-aktifitas dan artefak-artefak yang dihasilkan pada setiap fase pengembangan. Hasil akhir adalah sebuah prototipe aplikasi manajemen isi aplikasi web yang diberi nama xCMS.
IMPLEMENTASI SISTEM PENGELOLAAN PROSES BISNIS MENGACU PADA MIT PROCESS HANDBOOK
Authors: Handayani Putu Wuri , Bressan Stéphane , Han Doan Khanh , Boucelma Omar
Published: July 2016

MIT Process Handbook menawarkan metode penyimpanan dan pencarian proses bisnis suatu organisasi. Komunitas bisnis atau mahasiswa yang mengambil topik kuliah proses bisnis dapat mempelajari best-practice proses bisnis yang terdapat dalam MIT Process Handbook. Kumpulan proses bisnis yang terdapat di MIT Process Handbook hanya mengelola deskripsi proses bisnis tersebut dalam format teks. Kemunculan teknologi Extensible Markup Language (XML), kemampuan XML dalam melakukan query, adopsi dari banyak industri untuk menggunakan standar berbasis XML dalam pendefinisian dan pengeksekusian proses bisnis serta dukungan dari sistem basis data yang sudah mendukung penyimpanan data dalam format XML memudahkan semua pihak dalam perancangan dan implementasi sistem pengelolaan bisnis proses dengan mengadopsi standar dan teknologi XML ini. Sistem pengelolaan proses bisnis ini dapat digunakan untuk mengelola, mendistribusikan, dan melakukan query terhadap proses bisnis tertentu. Penelitian ini menjelaskan mengenai rancangan dan arsitektur sistem pengelolaan proses bisnis dengan kumpulan proses bisnis yang dapat digunakan untuk mengajar mata kuliah Business Process Management di program studi Sistem Informasi. MIT Process Handbook offers a method of storage and retrieval of an organization's business processes. Business community or college students who take the topic of business processes can learn best-practice business processes contained in the MIT Process Handbook. Collection of business processes that are contained in the MIT Process Handbook only manage the business process description in text. The emergence of Extensible Markup Language (XML), XML querying capabilities, adoption of many industries to use XML-based standards in the definition and execution of business processes and data base system that supports data storage in XML format facilitates all parties in the design and implementation of business process management systems by adopting these standards and XML technologies. Business process management systems can be used to manage, distribute, and perform a query against a particular business process. This study describes the design and architecture of business process management system with a collection of business processes that can be used to teach Business Process Management in Information Systems courses.
PERANCANGAN SISTEM INFORMASI PENJAMINAN MUTU PERGURUAN TINGGI BIDANG SUMBER DAYA MANUSIA
Authors: Nuraeni Yeni
Published: July 2016

Sumber daya manusia (SDM) di lingkungan perguruan tinggi yang terdiri dari dosen dan tenaga penunjang memiliki posisi yang sangat strategis, karena memiliki pengaruh langsung terhadap proses belajar, mutu lulusan dan pola keluaran yang kompetitif. Efektivitas kinerja dalam proses belajar mengajar dan perbaikan atmosfer akademik sangat dipengaruhi oleh standardisasi mutu yang ingin dicapai serta proses penjaminan mutu yang harus dilakukan oleh sebuah perguruan tinggi salah satunya dalam bidang sumber daya manusia (SDM). Syarat yang harus dipenuhi agar penerapan sistem penjaminan mutu SDM di sebuah perguruan tinggi dapat dilaksanakan dengan baik adalah ketersediaan basis data akurat yang dapat digunakan pada setiap pengambilan keputusan. Untuk itu perlu dikembangkan sistem informasi penjaminan mutu SDM di lingkungan perguruan tinggi. Sistem informasi penjaminan mutu SDM ini dapat berfungsi untuk memudahkan bagi perguruan tinggi dalam menjalankan penjaminan mutu, sehingga proses penjaminan mutu bisa dijalankan melalui tahap-tahap yang terangkai dan didukung oleh pangkalan data (basis data), sistem informasi manajemen, dan sistem pendukung keputusan yang terintegrasi. Adapun tahapan yang dilakukan dalam perancangan sistem informasi ini meliputi analisis kebutuhan, perancangan model proses, analisis kebutuhan perangkat lunak, dan desain. Human resources (HR) in the college environment consisting of lecturers and support staff have a very strategic position, because it has a direct impact on the learning process, the quality of graduates and the competitive output pattern. Effectiveness of performance in teaching and learning and improved academic atmosphere is strongly influenced by the standardization of quality to be achieved and the quality assurance process that should be done by a university either in the field of human resources (HR). Condition that must be met in order for the application of quality assurance system in a college human resources can be successfully implemented is the availability of accurate database that can be used in any decision-making. It is necessary to develop human resources information system of quality assurance in higher education environments. Human resource quality assurance information system can serve to make it easier for universities in implementing quality assurance, so that the quality assurance process can be run through the connected stages and supported by the data base (database), management information systems, and integrated decision support system. The stage that is done in designing information systems include requirements analysis, design process models, software requirements analysis, and design.
DEVELOPMENT OF DECISION SUPPORT SYSTEM DETERMINING THE STUDENT AS SCHOLARSHIP RECIPIENTS BY FUZZY MULTI ATTRIBUTE DECISION MAKING (FMADM)
Authors: Saragih Hoga , Marbun Murni , Reza Bobby
Published: July 2016

This research is the design of a decision support system (DSS) to determining the student as scholarship recipients of the STMIK Pelita Nusantara, Medan, Indonesia, with the approach of Fuzzy Multi Attribute Decision Making (FMADM) with TOPSIS method. Approach to Fuzzy Multiple Attribute Decision Making (FMADM) by specifying the values of the weights for each of the criteria or attributes and TOPSIS method for selecting student scholarship recipients. Implementation of a decision support system that can show the interaction of the user with the software application built using Visual Basic 2008 programming language. Conclusion the results obtained from the discussion shows that the approach with FMADM TOPSIS give final value calculation results ordered that can help decision makers determine the student deserves the scholarship. The existence of a decision support system that has been designed so the process of determining a student scholarship recipients more accurately, quickly, and accurately.