bluuebunny/crossref_metadata_2025 huggingface dataset:
Learners Programming Language a Helping System for Introductory Programming Courses
Authors: Naveed Muhammad Shumail , Sarim Muhammad , Ahsan Kamran
Published: July 2018

Programming is the core of computer science and due to this momentousness a special care is taken in designing the curriculum of programming courses. A substantial work has been conducted on the definition of programming courses, yet the introductory programming courses are still facing high attrition, low retention and lack of motivation. This paper introduced a tiny pre-programming language called LPL (Learners Programming Language) as a ZPL (Zeroth Programming Language) to illuminate novice students about elementary concepts of introductory programming before introducing the first imperative programming course. The overall objective and design philosophy of LPL is based on a hypothesis that the soft introduction of a simple and paradigm specific textual programming can increase the motivation level of novice students and reduce the congenital complexities and hardness of the first programming course and eventually improve the retention rate and may be fruitful in reducing the dropout/failure level. LPL also generates the equivalent high level programs from user source program and eventually very fruitful in understanding the syntax of introductory programming languages. To overcome the inherent complexities of unusual and rigid syntax of introductory programming languages, the LPL provide elementary programming concepts in the form of algorithmic and plain natural language based computational statements. The initial results obtained after the introduction of LPL are very encouraging in motivating novice students and improving the retention rate.
An Efficient Algorithm for the Detection of Exposed and Hidden Wormhole Attack
Authors: Khan Zubair Ahmed , - Rehman Saeed-ur , Islam Muhammad Hasan
Published: July 2018

MANETs (Mobile Ad Hoc Networks) are slowly integrating into our everyday lives, their most prominent uses are visible in the disaster and war struck areas where physical infrastructure is almost impossible or very hard to build. MANETs like other networks are facing the threat of malicious users and their activities. A number of attacks have been identified but the most severe of them is the wormhole attack which has the ability to succeed even in case of encrypted traffic and secure networks. Once wormhole is launched successfully, the severity increases by the fact that attackers can launch other attacks too. This paper presents a comprehensive algorithm for the detection of exposed as well as hidden wormhole attack while keeping the detection rate to maximum and at the same reducing false alarms. The algorithm does not require any extra hardware, time synchronization or any special type of nodes. The architecture consists of the combination of Routing Table, RTT (Round Trip Time) and RSSI (Received Signal Strength Indicator) for comprehensive detection of wormhole attack. The proposed technique is robust, light weight, has low resource requirements and provides real-time detection against the wormhole attack. Simulation results show that the algorithm is able to provide a higher detection rate, packet delivery ratio, negligible false alarms and is also better in terms of Ease of Implementation, Detection Accuracy/ Speed and processing overhead.
A Headway to QoS on Traffic Prediction over VANETs using RRSCM Statistical Classifier
Authors: Mahmood Ishtiaque , Khan Ahmad Khalil
Published: July 2018

In this paper, a novel throughput measurement forecast model is recommended for VANETs. The model is based on a statistical technique adopted and deployed over a high speed IP network traffic. Network traffic would always experience more QoS (Quality of Service) issues such as jitter, delay, packet loss and degradation due to very low bit rate codification too. Despite of all such dictated issues the traffic throughput is to be predicted with at most accuracy using a proposed multivariate analysis scheme represented as a RRSCM (Refined Regression Statistical Classifier Model) that optimizes parting parameters. Henceforth, the focus is towards the measurement methodology that estimates the traffic parameters that triggers to predict the accurate traffic and extemporize the QoS for the end-users. Finally, the proposed RRSCM classification model’s end-results are compared with the ANN (Artificial Neural Network) classification model to showcase its better act on the projected model
Reduction of Cracking and Shrinkage in Compressed Clay Beams during Drying
Authors: Lakho Nawab Ali , Zardari Muhammad Auchar , Memon Naeem Aziz
Published: July 2018

Uncontrolled evaporation of moisture from compressed clay beams can cause surface cracks, resulting in reduction of strength. This paper presents various treatments applied to clay beams during the process of casting, compacting and drying in order to curtail the possibility of cracking and to decrease percentage of drying shrinkage. Following treatments were applied to the beams during casting and drying: (i) a steel plate and double layer of plastic sheet was provided between the beam and the plank, (ii) the beam was enveloped with a propylene fabric sheet during casting and (iii) beams were covered with plastic sheet during drying. Using these treatments, the clay beams were cast and compacted at various intensities of compaction. The results show that the drying shrinkage was reduced to minimum and the cracks were curtailed. The rate of drying shrinkage was decreased depending upon the level of compaction. Thus at the higher degree of compaction, more density of clay beams was achieved, which resulted in higher degree of compressive strength in baked and unbaked state.
Classification of Broken Rice Kernels using 12D Features
Authors: Khowaja Sunder Ali , Abro Farzana Rauf , Memon Sheeraz , Khuwaja Parus
Published: July 2018

Integrating the technological aspect for assessment of rice quality is very much needed for the Asian markets where rice is one of the major exports. Methods based on image analysis has been proposed for automated quality assessment by taking into account some of the textural features. These features are good at classifying when rice grains are scanned in controlled environment but it is not suitable for practical implementation. Rice grains are placed randomly on the scanner which neither maintains the uniformity in intensity regions nor the placement strategy is kept ideal thus resulting in false classification of grains. The aim of this research is to propose a method for extracting set of features which can overcome the said issues. This paper uses morphological features along-with gray level and Hough transform based features to overcome the false classification in the existing methods. RBF (Radial Basis function) is used as a classification mechanism to classify between complete grains and broken grains. Furthermore the broken grains are classified into two classes’ i.e. acceptable grains and non-acceptable grains. This research also uses image enhancement technique prior to the feature extraction and classification process based on top-hat transformation. The proposed method has been simulated in MATLAB to visually analyze and validate the results.
The Epistemic Value of Open Science
Authors: Chavanayarn Siraprapa
Published: July 2018

Open science refers to all scientific culture that is described by its openness. It may often include features of open access, open data, and open source. Fecher and Friesike (2014) identify five open science schools of thought: the public school, which is about the accessibility of knowledge creation; the democratic school, which is about equality of access to knowledge; the pragmatic school, which is about collaborative research; the infrastructure school, which is about the technological architecture; and the measurement school, which is about alternative impact measurement. This article argues that there are only two open science schools, the public and democratic iterations, that can defend themselves against the serious epistemic objections to open science. In addition, if society supports an “open discussion” policy, societies will gain much more benefit from open science. These two schools, therefore, have more epistemic value than the other schools.
Analisis Curse Theory pada Sumber Daya Alam Migas Bagi Warga Madura
Authors: Hidayaturrahman Mohammad
Published: July 2018

Government policies in natural resource management, especially in the oil and gas sector face a lot of problems. However, the government also has a responsibility to improve the life of people affected from oil and gas exploration and production activities. This research was aimed at investigating how the implementation of policies run by the central and local government toward the oil and gas management and community empowerment, especially the community located closely  to oil and gas exploration and production activity in Madura, East Java. This research method is phenomenological research using descriptive qualitative approach. Therefore, this study is conducted through direct observation on the object during the research time. The data collection is done through observation and interview. The results of this study revealed that it is needed an integrated step done by the government, vertically, whether central, provincial, district, and village to synchronize oil and gas management and community empowerment programs. By doing so, the ideas and desires to improve the welfare and increase the state income will be realized, especially in focusing corporate and government programs improving citizen’ economic and education, whose area becomes the location of oil and gas production.
Pemindahan Ibu Kota Negara Maju dan Sejahtera
Authors: Yahya Muhammad
Published: July 2018

The discourse to move the Indonesian capital city has repeatedly emerged. It occurs when critical events arise from social, political, environmental and disaster factors. The purpose of this study is to analyze how the discourse of Central Kalimantan as the Indonesian capital city. The method of this research uses qualitative approach with library research analysis. It uses primary books on public feasibility of an area becoming capital city of Indonesia. The results of this study with spatial, ecological and territorial approach, where Jakarta as a consideration for discussion. So in the temporary hypothesis, Jakarta is less feasible as the capital city of the country. Meanwhile, Central Kalimantan becomes alternative city to be the capital city. It is representative of its vast territory, not vulnerable to natural disasters, added a small population of its citizen.
Menumbuhkan Minat Berwirausaha Mahasiswa Melalui Kecerdasan Emosional
Authors: Halimah Siti , Wanto Hindra , Mahmu’ddin Mahmu’ddin
Published: July 2018

This study was conducted to determine the effect of emotional intelligence on students’ entrepreneurship interest at semester VI Department of Information Systems Study Program Information System of Sampit Darwan Ali University Academic Year 2016/2017. This study used quantitative methods using survey technique. The subjects of the study were 92 students. Data collection techniques use a questionnaire fulfilled the requirements of validity and reliability. The technique of validity test used correlated item-total correlation and reliability test of Cronbach's alpha. In this study, the instrument used was questionnaire by using the likert scale. The data analysis technique used was a simple linear regression analysis fulfilled the analytical prerequisite, such as the test of normality, linearity and autocorrelation. This study revealed that emotional intelligence was moderate 70.65% and entrepreneurship interests were also moderate 67.39%. The result of analysis showed that there was  an influence of emotional intelligence to student entrepreneur interest. Coefficient of determination (r2) was  0.265. It meant that emotional intelligence could foster interest in entrepreneurship student.
Intelligent Application Implementation Model for Automated Agent Negotiation
Authors: Hayder Wrya Anwar , Husain Mohammed Hassan
Published: July 2018

In the last few years, multi-agents communication has seen an increased concern. The first main driver was an intelligent agent is claimed to be the next generation model for complex and distributed system engineering. Second the agents can automate process and communication on behalf of the agent’s users for proper actions and decisions. There are many concerns about how to implement communications among different agents in term of applied technology. In this paper we propose a REST- API and JSON technology as implementation tools that can be applied to implement intelligent web-based applications. REST is stands for Representational State Transfer which is allowing communication between web-based agents. JSON (JavaScript Object Notation) is a lightweight data format makes it easy for agents to parse and interchange data. This study has merged REST-AP and JSON technology into an automated negotiation model, and then a prototype is developed to successfully apply the proposed model. This model can facilitate application in business application negotiations and even internet of things (IOT) where HTTP protocol is used.
THE EFFECT OF PICTURE WORD INDUCTIVE MODEL (PWIM) AND STUDENTS’ SELF-EFFICACY TOWARD THEIR WRITING SKILL OF DESCRIPTIVE TEXTS AT GRADE X OF SMA NEGERI 1 IX KOTO SUNGAI LASI
Authors: Sepyanda Mariska
Published: July 2018

This study was written to see the effect of picture strategy inductive model (PWIM) and student self-efficacy to their skills in writing descriptive text. This research is a quasi-experimental design with factorial design. This research data is taken from the result of student writing skill test and self-efficacy questionnaire. Then, the data were analyzed by using t-test and two-way Anova through Minitab 14 application. The results of this study indicate that PWIM strategy has a significant effect on students' writing skill when compared with listing strategy used by teachers in writing teaching. The result shows a t count of 1,900 which is larger than the t-table that is worth 1.684. Then, students with high self-efficacy taught with the PWIM strategy have a better ability to write descriptive text than students taught with a listing strategy, where t counts are 3.160 which is greater than t-tables of 1.812. However, students with low self-efficacy taught by the PWIM strategy do not have a better ability to write descriptive text than students taught by a listing strategy that t-counts 1.730 smaller than t-tables of 1.812 . Furthermore, from the results of the study also found that there is no interaction between teaching strategies with self-efficacy to the writing skills of students where F-count is 0.08 higher than the F-table is 2.58.
An Investigation of Vocational Interests of Turkish Language and Literature Teacher Candidates
Authors: DOĞAN GÜLDENOĞLU Bilge Nur , DENİZ Kaan Zülfikar
Published: July 2018

Vocational interest that is defined as the positive attitude of an
individual to a certain profession is considered important for an individual to
choose a profession matching his/her interests and abilities, and the impact of
the gender variable in the process is emphasized. In this context, the present
study aims to assess the vocational interest of the Turkish Language and
Literature teacher candidates who completed their field of study and are
continuing the pedagogical formation program in relation to various
variables.  To this end, 187 teacher
candidates were assessed using the “Occupational Field Interest Inventory
(OFII)” developed by Deniz (2008). The study showed that the item means of the
dimensions “Turkish Language” and “Education” in the OFII was high and also
that there were significant differences in the vocational interests of the
participants by the gender variable.
Evaluasi Kinerja Guru Bersertifikasi Dengan Model Charlotte Danielson
Authors: Oktriany Wara Hapsari , Sulasmono Bambang Suteng , Iriani Ade
Published: July 2018

This study aims to evaluate the performance of certified teachers in SMP Negeri 3 Salatiga in the domain: (1) planning and preparation of learning, (2) class management, (3) learning process, and (4) professional teacher responsibility. This research is an evaluative research using Charlotte Danielson Model, with simple qualitative and quantitative method. The subjects were five teachers of SMP Negeri 3 Salatiga who have been certified educators. Data collection through interviews, observation, and document study. Moderate data collection instruments include teacher performance assessment rubric, interview guides, and questionnaires. The data validity test is done by source and technique triangulation. The results of this study: (1) the certified teacher performance in preparing and planning of learning is included in the good category, (2) the certified teacher performance in managing the classes included in the good category; (3) the certified teacher performance in the learning process included in either category, and (4) the certified teacher performance in their professional responsibilities is categorized as good enough, due to the lack of teachers' efforts to develop themselves.
Role of transferrin receptor in hepatitis C viral infection
Authors: Liang Quan
Published: July 2018

Hepatitis C virus (HCV) is the main pathogen causing chronic hepatitis and primary liver cancer. Various viral proteins and host cell molecules are involved in the HCV cell entry, but the mechanism of infection has not been completely elucidated. The transferrin receptor can act as a receptor for many viruses during cell entry. The transferrin receptor is not only closely related to HCV-induced iron metabolism disorders but also mediates the fusion of HCV with the host cell membrane as a specific receptor for CD81-dependent viral adhesion.
Research progress of siRNA in anti-influenza viral infection
Authors: Han Li
Published: July 2018

The harms of seasonal flu and global pandemic influenza have generally attracted attention. However, the currently administered influenza drugs and flu vaccines have certain limitations. Since the discovery of the small interfering RNA (siRNA) and its mediated RNA interference process, this molecule has been widely used in the study of anti-influenza viral infections because of its high specificity and strong selectivity. The results provided new concepts for the prevention and treatment of influenza virus. However, the siRNA still faces an enormous challenge despite extensive studies on this molecule. The research progress of siRNA in anti-influenza viral infection was reviewed in this study.
Research progress in the correlation between oral and stomach Hpinfections
Authors: Feng Hua
Published: July 2018

Helicobacter pylori(Hp) is one of the most common human pathogens. The infection caused by this bacterium is closely related to various clinical diseases. However, the eradication rate of conventional quadruple therapy has decreased, but the recurrence rate of infections has increased. The oral cavity is another major storage of Hp in addition to the stomach, and a certain homology exists between Hp in the oral cavity and Hp in the stomach. Periodontal treatment has a certain role in the killing of oral Hp, which can increase the eradication rate and reduce the recurrence rate of Hp in the stomach. This article summarizes the influence of oral Hp on the eradication rate and recurrence rate of gastric Hp.
O CRIME DE ESTUPRO À LUZ DA EPISTEMOLOGIA FEMINISTA: UM ESTUDO DE CASOS NO STF
Authors: Paiva Lívia De Meira Lima , Sabadell Ana Lucia
Published: July 2018

O presente artigo objetiva o estudo de dois casos paradigmáticos julgados no STF à luz de teorias feministas do Direito. Para tanto, apresentaremos algunsposicionamentos sobre o tema influenciados pelas teorias feministas radical e pósestruturalista. Em seguida, contextualizaremos o Habeas Corpus 73662 e o Recurso Extraordinário 418.376, ambos de autoria do ministro Marco Aurélio de Melo, julgados pelo STF respectivamente em 1996 e 2006. Finalmente, utilizaremos os paradigmas da epistemologia feminista apresentada na primeira parte para uma leitura do discurso jurídico produzido nos casos, elaborando, assim uma análise feminista da formulação do estupro.
Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters
Authors: Wu Zheng , Chang Ruiheng , Ma Jiaxu , Lu Cewu , Tang Chi Keung
Published: July 2018

We propose a novel approach for instance segmentation given an image of homogeneous object cluster (HOC). Our learning approach is one-shot because a single video of an object instance is captured and it requires no human annotation. Our intuition is that images of homogeneous objects can be effectively synthesized based on structure and illumination priors derived from real images. A novel solver is proposed that iteratively maximizes our structured likelihood to generate realistic images of HOC. Illumination transformation scheme is applied to make the real and synthetic images share the same illumination condition. Extensive experiments and comparisons are performed to verify our method. We build a dataset consisting of pixel-level annotated images of HOC. The dataset and code will be released.
Generalization Bounds for Regularized Pairwise Learning
Authors: Lei Yunwen , Lin Shao-Bo , Tang Ke
Published: July 2018

Pairwise learning refers to learning tasks with the associated loss functions depending on pairs of examples. Recently, pairwise learning has received increasing attention since it covers many machine learning schemes, e.g., metric learning, ranking and AUC maximization, in a unified framework. In this paper, we establish a unified generalization error bound for regularized pairwise learning without either Bernstein conditions or capacity assumptions. We apply this general result to typical learning tasks including distance metric learning and ranking, for each of which our discussion is able to improve the state-of-the-art results.
A Group-based Approach to Improve Multifactorial Evolutionary Algorithm
Authors: Tang Jing , Chen Yingke , Deng Zixuan , Xiang Yanping , Paul Joy Colin
Published: July 2018

Multifactorial evolutionary algorithm (MFEA) exploits the parallelism of population-based evolutionaryalgorithm and provides an efficient way to evolve individuals for solving multiple tasks concurrently.Its efficiency is derived by implicitly transferring the genetic information among tasks.However, MFEA doesn?t distinguish the information quality in the transfer compromising the algorithmperformance. We propose a group-based MFEA that groups tasks of similar types and selectivelytransfers the genetic information only within the groups. We also develop a new selection criterionand an additional mating selection mechanism in order to strengthen the effectiveness andefficiency of the improved MFEA. We conduct the experiments in both the cross-domain and intra-domainproblems.
Curriculum Learning for Natural Answer Generation
Authors: Liu Cao , He Shizhu , Liu Kang , Zhao Jun
Published: July 2018

By reason of being able to obtain natural language responses, natural answers are more favored in real-world Question Answering (QA) systems. Generative models learn to automatically generate natural answers from large-scale question answer pairs (QA-pairs). However, they are suffering from the uncontrollable and uneven quality of QA-pairs crawled from the Internet. To address this problem, we propose a curriculum learning based framework for natural answer generation (CL-NAG), which is able to take full advantage of the valuable learning data from a noisy and uneven-quality corpus. Specifically, we employ two practical measures to automatically measure the quality (complexity) of QA-pairs. Based on the measurements, CL-NAG firstly utilizes simple and low-quality QA-pairs to learn a basic model, and then gradually learns to produce better answers with richer contents and more complete syntaxes based on more complex and higher-quality QA-pairs. In this way, all valuable information in the noisy and uneven-quality corpus could be fully exploited. Experiments demonstrate that CL-NAG outperforms the state-of-the-arts, which increases 6.8% and 8.7% in the accuracy for simple and complex questions, respectively.
The Facets of Artificial Intelligence: A Framework to Track the Evolution of AI
Authors: Martínez-Plumed Fernando , Loe Bao Sheng , Flach Peter , Ó hÉigeartaigh Seán , Vold Karina , Hernández-Orallo José
Published: July 2018

We present nine facets for the analysis of the past and future evolution of AI. Each facet has also a set of edges that can summarise different trends and contours in AI. With them, we first conduct a quantitative analysis using the information from two decades of AAAI/IJCAI conferences and around 50 years of documents from AI topics, an official database from the AAAI, illustrated by several plots. We then perform a qualitative analysis using the facets and edges, locating AI systems in the intelligence landscape and the discipline as a whole. This analytical framework provides a more structured and systematic way of looking at the shape and boundaries of AI.
Efficient Computation of Approximate Equilibria in Discrete Colonel Blotto Games
Authors: Vu Dong Quan , Loiseau Patrick , Silva Alonso
Published: July 2018

The Colonel Blotto game is a famous game commonly used to model resource allocation problems in many domains ranging from security to advertising. Two players distribute a fixed budget of resources on multiple battlefields to maximize the aggregate value of battlefields they win, each battlefield being won by the player who allocates more resources to it. The continuous version of the game---where players can choose any fractional allocation---has been extensively studied, albeit only with partial results to date. Recently, the discrete version---where allocations can only be integers---started to gain traction and algorithms were proposed to compute the equilibrium in polynomial time; but these remain computationally impractical for large (or even moderate) numbers of battlefields. In this paper, we propose an algorithm to compute very efficiently an approximate equilibrium for the discrete Colonel Blotto game with many battlefields. We provide a theoretical bound on the approximation error as a function of the game's parameters. We also propose an efficient dynamic programming algorithm in order to compute for each game instance the actual value of the error. We perform numerical experiments that show that the proposed strategy provides a fast and good approximation to the equilibrium even for moderate numbers of battlefields
Natural Language Understanding: Instructions for (Present and Future) Use
Authors: Navigli Roberto
Published: July 2018

In this paper I look at Natural Language Understanding, an area of Natural Language Processing aimed at making sense of text, through the lens of a visionary future: what do we expect a machine should be able to understand? and what are the key dimensions that require the attention of researchers to make this dream come true?
Conversational Explanations of Machine Learning Predictions Through Class-contrastive Counterfactual Statements
Authors: Sokol Kacper , Flach Peter
Published: July 2018

Machine learning models have become pervasive in our everyday life; they decide on important matters influencing our education, employment and judicial system. Many of these predictive systems are commercial products protected by trade secrets, hence their decision-making is opaque. Therefore, in our research we address interpretability and explainability of predictions made by machine learning models. Our work draws heavily on human explanation research in social sciences: contrastive and exemplar explanations provided through a dialogue. This user-centric design, focusing on a lay audience rather than domain experts, applied to machine learning allows explainees to drive the explanation to suit their needs instead of being served a precooked template.
Faktor-faktor yang Mempengaruhi Tanggapan Pengemudi Terhadap Kebijakan Peniadaan Penggunaan Pintu Samping Pengemudi pada Bus
Authors: Saputra Abadi Dwi
Published: July 2018

Salah satu rekomendasi yang disampaikan oleh Direktorat Jenderal Perhubungan Darat dalam rangka meningkatkan bentuk tanggung jawab pengemudi bus dalam mengemudikan kendaraannya guna meningkatkan keselamatan dan keamanan penumpang, yaitu ditiadakannya keberadaan pintu pengemudi. Hal ini juga tertera pada Surat Edaran Dirjen Perhubungan Darat Tentang Peniadaan Pintu Keluar Bagi Pengemudi No.: AJ.403/4/14/DRJD/2007. Tujuan penelitian ini adalah menganalisa faktor-faktor yang memempengaruhi tanggapan pengemudi terhadap kebijakan peniadaan pintu samping pengemudi. Metode yang digunakan dalam penelitian ini adalah dengan menggunakan metode analisis regresi berganda. Hasil analisa menunjukkan bahwa koefisien regresi dari ketiga variabel independen bertanda negatif yang menunjukkan bahwa pengetahuan, sikap dan motivasi yang baik akan diikuti menurunnya tanggapan pengemudi terhadap kebijakan peniadaan penggunaan pintu samping pengemudi pada bus
Kinerja Jaringan Transportasi Jalan Akses dari Hinterland ke Pelabuhan Tanjung Ringgit Kota Palopo
Authors: Humang Windra Priatna
Published: July 2018

Pelabuhan Tanjung Ringgit sebagai salah satu pelabuhan yang diprediksi menjadi pelabuhan andalan di kawasan timur Sulawesi Selatan (Perairan Teluk Bone) yang diharapkan mampu mengantisipasi pergerakan arus bongkar muat (B/M) barang di wilayah hinterland-nya. Permasalahan pelayanan jaringan jalan dalam rangka distribusi barang dari pelabuhan ke hinterland atau sebaliknya terkadang menghambat proses/ kinerja operasional pelabuhan. Salah satunya adalah lamanya waktu tunggu kapal di pelabuhan akibat menunggu kendaraan angkut. Pengumpulan data dilakukan secara primer melalui wawancara atau pengamatan lapangan. Metode analisis yang digunakan yaitu analisis IPA dan CSI, berdasarkan indikator Sistranas KM. 49 Tahun 2005 Tentang Sistem Transportasi Nasional. Hasil penelitian menunjukkan bahwa kinerja jaringan prasarana akses pelabuhan ke wilayah hinterland yang dianggap baik yaitu indikator keselamatan, mudah, tarif terjangkau dan aksesibilitas. Sementara indikator yang berkinerja rendah dan menjadi prioritas untuk ditingkatkan yaitu kapasitas, efisien, teratur, nyaman dan tepat waktu untuk kinerja jaringan pelayanan yang dianggap baik yaitu meliputi keselamatan, aman dan lancar dan cepat. Sedangkan yang perlu mendapatkan prioritas perbaikan kinerja yaitu keterpaduan, kapasitas, aksesibilitas, tepat waktu, nyaman dan teratur.
Upaya Peningkatan Konektivitas Angkutan Laut dan Penyeberangan Antar Kabupaten / Kota di Maluku
Authors: Anggrahini Wahyu Prasetya
Published: July 2018

Sebagai wilayah kepulauan, Maluku membutuhkan angkutan laut maupun angkutan penyeberangan sebagai sarana pergerakan orang dan barang. Kondisi gelombang laut yang ada di wilayah Maluku sangat bervariatif, bahkan cenderung ekstrem membutuhkan pelayanan kapal yang berukuran besar seperti kapal pelni. Penelitian ini bertujuan untuk mengetahui konektivitas angkutan laut di wilayah Maluku dan bagaimana upaya peningkatannya. Penelitian menggunakan pendekatan deskriptif. Hasil penelitian menunjukkan bahwa konektivitas angkutan laut dan penyeberangan di wilayah Maluku sudah cukup bagus. Nilai konektivitas terendah terletak di Kabupaten Buru, Kabupaten Buru Selatan dan Kabupaten Seram Bagian Barat. Konektivitas wilayah Maluku dapat ditingkatkan melalui pelayanan kapal pelni. Dari ketiga Kabupaten yang memiliki nilai konektivitas rendah, Kabupaten Seram Bagian Barat yang belum dilayani kapal pelni. Pelabuhan Amahai di Maluku Tengah dan Piru di Kabupaten Seram bagian barat memungkinkan untuk disinggahi kapal pelni. Konektivitas wilayah Maluku dapat ditingkatkan dengan menghubungkan wilayah yang rendah nilai konektivitasnya dengan wilayah yang dapat disandari kapal pelni yang dilanjutkan dengan pelayanan kapal-kapal kecil sebagai feeder dari kapal pelni dan kapal perintis, sehingga wilayah Maluku bisa terlayani dengan tetap dan teratur.
Optimalisasi PP Nomor 8 Tahun 2011: Studi di Pelabuhan Panjang Bakauheni Lampung dalam Mendukung Biaya Logistik
Authors: Andika Eko
Published: July 2018

Transportasi angkutan umum memiliki peranan penting bagi kemajuan kehidupan suatu masyarakat daerah. Alat transportasi merupakan kunci utama dalam perkembangan perekonomian dan sebagai penunjang kebutuhan sehari-hari. Oleh karena itu completion jasa transportasi oleh pemerintah sangat diperlukan dengan tujuan untuk memiliki alat transportasi multimoda yang efektif dan efesien. Pertumbuhan angkutan barang di Pelabuhan Panjang Lampung beberapa dekade ini meningkat sehingga perlu dilakukan langkah-langkah untuk mengoptimasikan angkutan barang tersebut. Belum lama pemerintah memandang perlu untuk Mengoptimalkan PP No 8 Tahun 2011 tentang Angkutan Multimoda yang mengawinkan undangundang subsektor Jalan, Perkeretaapian dan Laut. Peraturan pemerintah ini dikeluarkan untuk mendukung sistem logistik nasional. Pelabuhan Panjang menghubungan antar daerah. Maka sangat memungkinkan untuk mengoptimalisasikan pengiriman barang logistik. Melakukan optimasi biaya dan penyerahan tepat waktu sangat penting bagi perekonomian khususnya wilayah lampung sebagai gerbang pintu menuju sumatera. Pelabuhan panjang lampung memiliki peluang untuk menggunakan berbagai transportasitransportasitransportasi multimoda termasuk dapat menstabilkan tarif pengiriman logistik dan waktu yang diperlukan terjangkau cepat. Dengan di optimalkannya PP Nomor 8 Tahun 2011 Tentang Angkutan Multimoda dalam pasal 27 tentang tarif angkutan multimoda, Tarif angkutan multimoda ditetapkan berdasarkan kesepakatan bersama antara badan usaha angkutan multimoda dan pengguna jasa angkutan multimoda secara tertulis. Pentingnya penambahan transportasitransportasitransportasi multimoda untuk pengiriman barang logisik dengan baik dan tepat akan memberikan informasi yang benar dan akurat mengenai jenis, keadan, jumlah barang, berat dan volume barang, waktu dan tempat barang diterima oleh badan usaha angkutan mulimoda.
Analisis Korelasi Jumlah Kendaraan dan Pengaruhnya Terhadap PDRB di Provinsi Jawa Timur
Authors: Priyambodo Priyambodo
Published: July 2018

Pertumbuhan jumlah kendaraan bermotor baik itu roda dua maupun roda empat melanda hampir diseluruh wilayah kota dan kabupaten di Jawa Timur. Tren pertumbuhan kendaraan bermotor ini membawa dampak yang positif dan juga negative. Dampak negative adalah menyebabkan kemacetan, polusi udara, kecelakaan, dan tundaan-tundaan. Dampak positifnya adalah membantu mobilisasi barang, jasa, dan manusia, serta bisa meningkatkan PDRB suatu wilayah. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh kepadatan atau jumlah kendaraan bermotor di kabupaten dan kota di Jawa Timur terhadap PDRB. Dengan menggunakan analisis statistik deskriptif dan analisis regresi hasil penelitian menunjukkan bahwa kenaikan jumlah kendaraan bermotor sedan, jeep, dan sepeda motor di kabupaten dan kota di Jawa Timur berpengaruh terhadap PDRB. Untuk itu kepada Pemerintah Provinsi jawa Timur direkomendasikan : pertama melarang kendaraan roda dua melintas di jalan-jalan protokol dan jalan utama dan segera merealisasikan sistem angkutan umum masal. Kedua melakukan rekayasa lalu lintas secara terus menerus dan berkesinambungan serta meminimalisir aspek-aspek yang bisa menurunkan nilai PDRB. ketiga mencari pendanaan lain dengan mengundang investor masuk atau dengan cara masyarakat dilibatkan dalam pembiayaan pembangunan jalan dengan menerapkan konsep road pricing. Keempat mendapatkan kembali dana yang 10 % dari pajak kendaraan bermotor untuk pembangunan dan pengembangan transportasi angkutan jalan.
Analisa Ketinggian Gelombang yang Sesuai untuk Pengoperasian Kapal Cepat Rudal 60m di Perairan Indonesia
Authors: Hardjono Soegeng
Published: July 2018

Saat ini, Angkatan Laut Indonesia sedang memperkuat armada kapal perang dengan pembangunan jenis Kapal Cepat Rudal (KCR) 60M. Kemampuan operasional KCR 60M tergantung pada ketinggian gelombang perairan Indonesia. Untuk itu perlu dilakukan kajian penentuan tinggi gelombang maksimum yang bisa dilalui oleh KCR 60M dan penentuan panjang KCR minimum untuk mengatasi gelombang ekstrim tertinggi dengan metode statistik dan formula pendekatan. Hasil analisa menunjukkan bahwa KCR 60M dapat beroperasi p
STRATEGI MEMPERTAHANKAN HARTA ANAK BANGSA PASCA TAX AMNESTY
Authors: Putri Niken E , Fanani Zainal
Published: July 2018

Euforia akan Tax Amnesty ketiga di Indonesia membawa harapan baru bagi masa depan perekonomian Indonesia. Capaian yang diperoleh oleh Direktorat Jenderal Pajak setelah berakhirnya program Tax Amnesty mampu membawa sebagian harta anak bangsa kembali ke Ibu Pertiwi. Fokus utama pemerintah pada kebijakan Tax Amnesty adalah untuk memperbaiki basis data dan pada repatriasi harta WNI yang diparkir di luar negeri. Pemerintah mengharapkan repatriasi ini bisa mencapai 1,000 Triliun Rupiah. Dalam pelaksanaannya, Direktorat Jenderal Pajak mampu mengumpulkan dana 147T. Guna mengelola dana tersebut dengan sebaik-baiknya, pemerintah perlu melakukan strategi tertentu agar dana tersebut tidak lari lagi dari pangkuan ibu pertiwi.
BESARAN FEE AUDIT PADA PERUSAHAAN YANG TERDAFTAR DI BURSA EFEK INDONESIA
Authors: Sinaga Evlin Adelina , Rachmawati Sistya
Published: July 2018

This study to examnine the factors that may affect the determination of the independence audit fees on companies listed in Indonesia Stock Exchange (IDX) during 2012-2016 period. The sample collection purpossive techniques so that 92 company obtained as the sampling method of sample. Use the method multiple linear regressiom analysis to analyze the  status of the audit firm , loyality, audit report lag, industry type, the existence of subsidiary, and type of ownership of the company of agains who audit fees formerly data first tested with classical test. The result showed that the satatus of the audit firm , a subsidiary and type of ownership have a significant positive in the determination of audit fees. While the variabel loyality, audit report lag and industry type does not have significant effect on audit fees.
MANAGERIAL ABILITY, MANAGEMENT COMPENSATION, BANKRUPTCY RISK, TAX AGGRESSIVENESS
Authors: Nurfauzi Ridwan , Firmansyah Amrie
Published: July 2018

Manager with higher ability tends to have a deeper understanding of the firm’s strengths and weaknesses to take full advantage of opportunities, including an opportunity to do tax aggressiveness which is undetected by the tax authorities. In addition, the compensation received by management can also be a motivation for managers to act aggressively. Furthermore, the high risk of bankruptcy also puts pressure on managers to do cash tax saving  aggresively in order to maintain the company's life.This study is aimed to examine the effect of managerial ability, management compensation and bankruptcy risk on tax aggressiveness. The sample used in this research are manufacturing companies listed on the Indonesia Stock Exchange (BEI)  during the period of 2011 to 2015. Using purposive sampling, this research obtained data from 36 companies. So the total sample in this study amounts to 180 observation data.Managerial ability is measured by Data Envelopment Analysis (DEA) and Tobit regression referring to Park et al (2015). Management compensation is measured by the total compensation received by the director during the fiscal year (Armstrong, Blouin and Larcker, 2012). Then the risk variables of bankruptcy will be measured by Altman’s prediction model of bankruptcy (Altman and Hotchkiss, 1995, 2006). The result shows that managerial ability has a positive significant effect on tax aggressiveness. Meanwhile, management compensation has a significant negative effect on tax aggressiveness. Furthermore, the bankruptcy risk has a significant positive effect on tax aggressiveness
ASIMETRI INFORMASI DAN MANDATORY DISCLOSURE KONVERGENSI INTERNATIONAL FINANCIAL REPORTING STANDARD: EFEK TERHAADAP RELEVANSI NILAI INFORMASI LABA DAN NILAI BUKU
Authors: Putri Dhea Ayu Rosita , Rahmawati Evi , Sofyani Hafiez
Published: July 2018

This reasearch aimed to recognize the impact of information asimmetry and mandatory disclosure IFRS convergence toward value relevance of earnings and book value. The population in this study are manufakture companies listed on the  Indonesia Stock Exchange (IDX) year 2016. Sampling method that use is purposive sampling. The number of samples in this study are 68 samples. Types of data us is secondary data obtained from www.idx.co.id. Analysis technique used were Moderated Regression Analysis by SPSS 15.0. The results showed that the mandatory disclosure level of IFRS convergence increases the relevance of information on the value of earnings, the mandatory disclosure level of IFRS convergence does not increase the relevance of book information value, information asymmetry does not decrease the value relevance of earnings information, and information asymmetry decreases the relevance of book information value.
EMPIRICAL EVIDENCE OF THE ROLE OF ACCOUNTING POLICY ON BOND RATING TO FINANCIAL COMPANIES LISTED IN INDONESIA STOCK EXCHANGE
Authors: Tan Steacy Chaterine
Published: July 2018

The objective of the empirical study is to examine the effect of leverage, liquidity, profitability and accounting policies on bond rating. The sample of this empirical study is financial companies that listed in Indonesia Stock Exchange during 2012-2016. The results of this empirical study shows that leverage affects negatively on bonds rating. While, liquidity, profitability, and accounting policy affect positively on bonds rating.
TANGGUNG JAWAB SOSIAL, LINGKUNGAN DAN REPUTASI PERUSAHAAN: PENGUNGKAPAN PADA SITUS BANK
Authors: Gunawan Juniati
Published: July 2018

This research aims to provide evidence on the contents of corporate social and environmental responsibility (CSER) disclosures and company reputation on the three largest Banks (Bank Mandiri, Bank Central Asia and Bank Rakyat Indonesia) in Indonesia. CSER disclosures were measured through content analysis methods from the company’s’ websites, and company's reputation was measured through customer perceptions. The study was conducted through an online survey of 360 customers by undertaken non probability sampling and accidental sampling (convenience sampling). The results show that the majority of respondents agree with a good reputation after reading the Banks’ CSER websites. The dominant information of the Bank’s CSER website are community activities and programs, followed by environmental activities. Respondents stated that the Bank's reputation has been good and by reading the CSER website, the respondents felt more familiar with the Bank's activities. This familiarity adds a sense of customer’s closeness to the Bank. This research provides implementation contributions to the Bank and also provides empirical findings that can be used by other Banks in delivering CSER disclosures on the website. This research enhances to the depth of study in the field of CSER in the Indonesian context and contributes to the new insights for CSER research area.
Board of Directors Names Clare L. Ardern Next JOSPT Editor-in-Chief
Authors: Nyland John A.
Published: July 2018

The JOSPT/Movement Science Media (MSM) Board of Directors is pleased to announce its appointment of the first woman Editor-in-Chief (EIC) of the Journal, Clare L. Ardern, PT, PhD. Dr Ardern succeeds J. Haxby Abbott, DPT, PhD, FNZCP, who held this position for 2 years from January 2016 through December 2017. Beginning July 1, 2018 and for the next year, Dr Ardern will work collaboratively as EIC Elect with Guy G. Simoneau, PT, PhD, ATC, FAPTA, who is currently serving as Interim EIC and previously served as JOSPT EIC for 14 years.

J Orthop Sports Phys Ther 2018;48(7):517–518. doi:10.2519/jospt.2018.0106
Sticks and Stones: The Impact of Language in Musculoskeletal Rehabilitation
Authors: Stewart Michael , Loftus Stephen
Published: July 2018

Throughout the often complex and challenging process of musculoskeletal rehabilitation, the words that we use can have a significant impact on the clinical outcome. Words contain both the ability to heal and harm. Gaining an improved understanding of the frequently hidden influence that language can have on musculoskeletal rehabilitation is of paramount importance. This Viewpoint article highlights the powerful consequences of the words that we use in clinical practice and discusses the practical considerations for adapting the current language of musculoskeletal rehabilitation.

J Orthop Sports Phys Ther 2018;48(7):519–522. doi:10.2519/jospt.2018.0610
Asking a Question: Linking Evidence With Practice
Authors: Kamper Steven J.
Published: July 2018

For clinicians and researchers alike, a clear and answerable question is the starting line of the evidence-based practice process. For clinicians, the question captures the patient and defines the information needed to treat this patient. For researchers, the question directs study design and drives everything from recruitment to reporting. The question is also the anchor point that links clinical practice to research. Engaging in evidence-based practice forces a subconscious process that occurs during assessment of the patient into the conscious mind and makes it explicit. Clearly and concisely defining the question leads directly to the search for relevant research.

J Orthop Sports Phys Ther 2018;48(7):596–597. doi:10.2519/jospt.2018.0702
Differential Diagnosis of a Pathological Spine Fracture
Authors: Bhatt Priti J. , Greenberg Elliot M. , Suh Brian D.
Published: July 2018

A 71-year-old woman with a 10-month history of atraumatic low back pain was referred to physical therapy after an insidious exacerbation of symptoms. Red flags raised suspicions for spinal compression fracture, necessitating the physical therapist to contact her physician and recommend imaging. Radiographs and magnetic resonance imaging were ordered, the latter of which showed an acute fracture at T10, with lesions at T9 and in the liver suggesting metastasis. Following bone scintigraphy and an ultrasound-guided biopsy of a liver lesion, she was diagnosed with metastatic breast cancer.

J Orthop Sports Phys Ther 2018;48(7):595. doi:10.2519/jospt.2018.7768
Ewing Sarcoma of the Femur
Authors: Traver Katie J. , Haack Rio M. , Krause David A.
Published: July 2018

A 26-year-old active woman with knee pain was seen by her primary care physician and diagnosed with patellofemoral pain (PFP). Radiographs of the knee were interpreted as noncontributory. Her knee symptoms continued, and 8 weeks later she was referred to a physiatrist, who confirmed the PFP diagnosis and referred her to physical therapy. Repeat radiographs revealed a destructive mass involving the diaphysis of the femur and surrounding soft tissue. Subsequent magnetic resonance imaging further characterized the mass as an aggressive bone lesion, and biopsy confirmed that it was Ewing sarcoma.

J Orthop Sports Phys Ther 2018;48(7):594. doi:10.2519/jospt.2018.7835
Studi Awal Kemampuan Adsorpsi Komposit Kulit Telur Ayam dengan Sekam Padi sebagai Adsorben Metil Orange
Authors: Haqiqi Embun Rachma
Published: July 2018

Industri tekstil berkontribusi  atas terjadinya pencemaran lingkungan, yaitu pencemaran perairan oleh limbah zat warna tekstil. Pada penelitian ini, kulit telur ayam dan sekam padi dipreparasi sebagai adsorben dalam rangka mengatasi masalah limbah zat warna tekstil. Metode penelitian terdiri dari proses preparasi adsorben, adsorpsi, dan pengukuran menggunakan spektrofotometer UV-Vis. Proses adsorbsi melibatkan 5 sampel adsorben komposit dengan variasi rasio 3:1, 2:1, 1;1, 1:2, dan 1:3. Berdasarkan hasil penelitian, adsorben kulit telur ayam yang dikombinasikan dengan sekam padi dan variasi rasio 1:3 mampu mengadsorbsi metil orange dari larutan sampai sebesar 55,90%. Sehingga, cangkang telur ayam dan sekam padi sangat berpotensi untuk dimanfaatkan sebagai adsorben. Faktor yang mendukung potensinya sebagai adsorben adalah karakter gugus fungsi dan keberadaannya di alam yang mudah ditemukan, melimpah, serta ekonomis.
建筑结构设计中的抗震设计探讨
Authors: 李 延青
Published: July 2018

在人类的发展历史当中， 地震是最常见的自然灾害之一， 不但对人类的人身安全造成了极大的伤害， 同时还严重损害了人类的财物安全， 拖慢了人类发展的脚步。房屋作为人们日常生活中必不可少的生存建筑， 在进行建筑类的结构设计时， 需要对整体建筑结构的抗震能力进行提升， 以最大程度地减少地震给人们带来的人身和财产损失。 本篇文章对建筑结构设计中的抗震设计进行了分析和探讨， 旨在为中建筑结构抗震性能水平的提高提供借鉴意义。