bluuebunny/crossref_metadata_2025_split huggingface dataset:
Produksi dan Kandungan Pb Selada (Lactuca sativa) pada Media Tailing Pasca Penambangan Timah
Authors: Khodijah Nyayu Siti , Santi Ratna , Kusmiadi Riwan , Asriani Euis 
Published: July 2020

Tailing bekas tambang timah umumnya mengandung pasir dan kuarsa yang cukup tinggi sehingga kapasitas sangga (buffer capacity) terhadap unsur-unsur hara sangat rendah. Dengan demikian diperlukan bahan pembenah (ameliorant) untuk memperbaiki kondisi tersebut dengan melakukan pengujian pemberian lima jenis pupuk. Penelitian tentang budidaya tanaman pangan dan non pangan di lahan tailing timah di Bangka seperti tanaman kehutanan, tanaman hortikultura, tanaman perkebunan dan pakan telah dilakukan. Hasil penelitian umumnya menunjukkan penambahan bahan organik dengan berbagai jenis dan mampu memperbaiki ketahanan tanaman yang ditumbuhkan pada cekaman dilahan tailing timah, tetapi belum menjelaskan keberadaan logam berat dalam jaringan tanaman tersebut. Penelitian ini dilakukan untuk mengetahui pertumbuhan dan produksi serta kandungan Pb selada yang ditumbuhkan di media tailing pasca tambang timah dengan penambahan berbagai jenis pupuk. Penelitian didesain menggunakan rancangan acak kelompok (RAK) dengan empat tingkat perlakuan jenis pupuk yang diulang sebanyak enam kali. Jenis perlakuan pupuk adalah : jenis 1 (NPK (15:15:15)), jenis 2 (kompos), jenis 3 (Kapur+NPK) dan Jenis 4 (kompos+NPK). Pertumbuhan selada menggunakan media tailing terbaik diperoleh pada perlakuan jenis 4 ( pupuk kompos yang disertai dengan pupuk NPK). Kandungan Pb pucuk selada meningkat mengikuti peningkatan pertumbuhan tanaman akibat pemupukan. Selada dengan perlakuan kompos yang disertai dengan pupuk NPK mempunyai kandungan Pb tertinggi, tetapi kandungan Pb akar tidak mengikuti kecenderungan pertumbuhan akibat pemupukan.
APPLYING EMPIRICAL THRESHOLDING ALGORITHM FOR A KEYSTROKE DYNAMICS BASED AUTHENTICATION SYSTEM
Authors: Venugopal Priya Chaliyath , Viji Kamalan Saroja Angel 
Published: July 2020

Through the application of a password-based authentication technique, users are granted permission to access a secure system when the username and password matches with that logged in database of the system. Furthermore, anyone who provides the correct username and password of a valid user will be able to log in to the secure network. In current circumstances, impostors can hack the system to obtain a userâ€™s password, while it has also been easy to find out a personâ€™s private password. Thus, the existing structure is exceptionally flawed. One way to strengthen the password-based authentication technique, is by keystroke dynamics. In the proposed keystroke dynamics based authentication system, despite the password match, the similarity between the typing pattern of the typed password and password samples in the training database are verified. The timing features of the userâ€™s keystroke dynamics are collected to calculate the threshold values. In this paper, a novel algorithm is proposed to authenticate the legal users based on the empirical threshold values. The first step involves the extraction of timing features from the typed password samples. The password training database for each user is constructed using the extracted features. Moreover, the empirical threshold limits are calculated from the timing features in the database. The second step involves user authentication by applying these threshold values. The experimental analyses are carried out in MATLAB simulation, and the results indicate a significant reduction in false rejection rate and false acceptance rate. The proposed methodology yields very low equal error rate of 0.5% and the authentication accuracy of 99.5%, which are considered suitable and efficient for real-time implementation. The proposed method can be a useful resource for identifying illegal invasion and is valuable in securing the system as a correlative or substitute form of client validation.
FEATURE CLUSTERING FOR PSO-BASED FEATURE CONSTRUCTION ON HIGH-DIMENSIONAL DATA
Authors: Swesi Idheba Mohamad Ali Omer , Abu Bakar Azuraliza 
Published: July 2020

Feature construction (FC) refers to a process that uses the original features to construct new features with better discrimination ability. Particle Swarm Optimisation (PSO) is an effective search technique that has been successfully utilised in FC. However, the application of PSO for feature construction using high dimensional data has been a challenge due to its large search space and high computational cost. Moreover, unnecessary features that were irrelevant, redundant and contained noise were constructed when PSO was applied to the whole feature. The feature clustering methods were used to aggregate similar features into clusters, whereby the dimensionality of the data was lowered by choosing representative features from every cluster to form the final feature subset. The clustering of each features are proven to be accurate in feature selection (FS), however, only one study investigated its application in FC for classification. The study identified some limitations, such as the implementation of only two binary classes and the decreasing accuracy of the data. This paper proposes a cluster based PSO feature construction approach called ClusPSOFC. The Redundancy-Based Feature Clustering (RFC) algorithm was applied to choose the most informative features from the original data, while PSO was used to construct new features from those selected by RFC. Experimental results were obtained by using six UCI data sets and six high-dimensional data to demonstrate the efficiency of the proposed method when compared to the original full features, other PSO based FC methods, and standard genetic programming based feature construction (GPFC). Hence, the ClusPSOFC method is effective for feature construction in the classification of high dimensional data.
HIGH-LEVEL FUZZY LINGUISTIC FEATURES OF FACIAL COMPONENTS IN HUMAN EMOTION RECOGNITION
Authors: Liliana Dewi Yanti , Basaruddin Tarzan , Widyanto Muhammad Rahmat , Oriza Imelda Ika Dian 
Published: July 2020

Emotion is an important element in an interaction since it conveys Emotion is an important element in an interaction since it conveys human perception and response of an event. Unlike verbal words that can be manipulated, emotion is brief, spontaneous and provides more honest information. There are several classes of basic primary human emotions that differ from one another. These classes are happy, sad, fearful, surprised, disgusted, and angry. Meanwhile, a psychologist has developed a set of rules to recognize emotions based on facial expressions. This research aims to develop an artificial intelligent model based on psychological knowledge to recognize emotions by analyzing facial expressions. Moreover, the proposed model has defined high-level fuzzy linguistic features of facial components which distinguish it from existing methods that commonly use low-level image features (e.g. color, intensity, histogram, texture). High-level linguistic features (e.g. opened eyes, wrinkled nose) are better at representing human minds than low-level features which are only understood by machines. The model functions by detecting facial points first to locate important facial components; then extracting geometric facial components features which are then applied to a fuzzy facial components features which are then applied to a fuzzy facial components inference system resulting in high-level linguistic facial features. In the last step, the high-level linguistic features are applied to a fuzzy emotion inference system which classifies the input image into its respective emotion class based on psychological rules. Experiments conducted using facial expression dataset gave a high accuracy rate of 98.26% for fuzzy facial components linguistic identification. The proposed model also outperformed other classifiers (Fuzzy C-Means, Fuzzy Inference System, and Support Vector Machine). This intelligent model can contribute in various fields, including psychology, health, and education, especially in helping people with emotional disorders (e.g.Alexithymia, Asperger syndrome, and Autism) to recognize emotions.
HUMAN ACTIVITY DETECTION AND ACTION RECOGNITION IN VIDEOS USING CONVOLUTIONAL NEURAL NETWORKS
Authors: Basavaiah Jagadeesh , Mohan Patil Chandrashekar 
Published: July 2020

Human activity recognition from video scenes has become a significant area of research in the field of computer vision applications. Action recognition is one of the most challenging problems in the area of video analysis and it finds applications in human-computer interaction, anomalous activity detection, crowd monitoring and patient monitoring. Several approaches have been presented for human activity recognition using machine learning techniques. The main aim of this work is to detect and track human activity, and classify actions for two publicly available video databases. In this work, a novel approach of feature extraction from video sequence by combining Scale Invariant Feature Transform and optical flow computation are used where shape, gradient and orientation features are also incorporated for robust feature formulation. Tracking of human activity in the video is implemented using the Gaussian Mixture Model. Convolutional Neural Network based classification approach is used for database training and testing purposes. The activity recognition performance is evaluated for two public datasets namely Weizmann dataset and Kungliga Tekniska Hogskolan dataset with action recognition accuracy of 98.43% and 94.96%, respectively. Experimental and comparative studies have shown that the proposed approach outperformed state-of the art techniques.
pengaruh model pembelajaran peer tutoring untuk meningkatkan kemampuan komunikasi matematis siswa
Authors: Faot Elisabeth Iga Mawarni , Leton Samuel Igo , Dosinaeng Wilfridus B.N. 
Published: July 2020

penelitian ini bertujuan untuk mengetahui bagaimana pelaksanaan model pembelajaran peer tutoring dan pengaruh terhadap peningkatan komunikasi matematis pada pokok pembahasan persamaan lingkaran di SMAK Sint Carolus Kupang tahun ajaran 2019/2020. Penelitian ini dilakukan oleh siswa kelas XI IPA1 yang berjumlah 26 orang siswa.instrumen yang digunakan dalam penelitian ini yaitu observasi dan tes peningkatan komunikasi siswa sebanyak 3 butir soal berbentuk uraian. Teknik analisis data yang digunakan dalam penelitian ini yaitu hasil observasi pencapaian indikator uji-t dan N-Gain berdasarkan hasil observasi dan pencapaian indikator, diperoleh peningkatan komunikasi matematis tergolong kategori tinggi berdasarkan perhitungan uji-t menunjukkan thitung = 18.260 dan ttabel = 0.059 pada taraf signifikan 5% yang berarti thitung >ttabel, maka H0 ditolak dan Ha diterima. Berdasarkan perhitungan Uji N-Gain menunjukkan rata-rata yaitu 19,82 sedangkan hasil perhitungan nilai N-Gain yaitu 0.762307692 termaksud dalam kategori tinggi sehingga dapat diambil kesimpulan bahwa ada pengaruh model pembelajaran peer tutoring terhadap peningkatan komunikasi matematis siswa.
Humanist Marriage and <i>The Comedy of Errors</i>
Authors: Luxon Thomas H. 
Published: July 2020

Cette étude du mariage et de l’amitié examine une gamme de textes proto-modernes, d’autant religieux que séculaires, pour conclure sur une nouvelle lecture de la Comedy of Errors de Shakespeare comme révélation comique de l’instabilité de l’idée de représenter le mariage en termes d’amitié tout en gardant la rhétorique orthodoxe de la subordination et de l’inégalité. La pièce, propose l’auteur, pousse la rhétorique du «deuxième soi-même» et d’«une
chair» jusqu’à des extrémités exposant non seulement les auto-contradictions de chaque orthodoxie, classique ainsi que chrétienne, mais aussi les difficultés qui en découlent lorsqu’elles sont confondues.
ANÁLISE DAS PRODUÇÕES ACADÊMICAS DO EPEPE SOBRE CRIANÇAS DE 0 A 6 ANOS
Authors: Carvalho de Almeida Karla Wanessa , De Souza Neto José Marinho , Lima Rodrigues Cibele Maria 
Published: July 2020

A Educação Infantil passou por modificações, o que lhe imprimiu uma identidade que entrelaça as crianças e suas infâncias na garantia do direito subjetivo de se ter educação, dialogando com as pluralidades regionais do Brasil em seus modos de educar e cuidar. O objetivo dessa exposição consiste em apresentar uma análise dos discursos das produções acadêmicas vinculadas no Encontro de Pesquisa Educacional em Pernambuco, no eixo Educação de Crianças de 0 a 6 anos. Nessa intenção, nos inspiramos em elementos da metapesquisa na dimensão reflexiva (MAINARDES, 2016), e na análise do discurso de Fairclough (2001). A análise ocorreu em blocos temáticos, buscando indicar as regularidades discursivas. Nesse contexto, as regularidades apontaram que as especificidades (sujeitos, concepções, práticas pedagógicas, outros) da Educação Infantil, ligam-se as “assunções de caráter ideológico” (FAIRCLOUGH, 2001, p.111). E como tal, podemos, neste âmbito, relacionar os espaços de ausências nas construções discursivas do EPEPE, uma delas aponta que a Creche, compreendida enquanto campo de pesquisa (teórica ou empírica) esteve ausente nos discursos das publicações durante todas as edições do evento.
The Effect Of Problem Based Solving Strategy Towards Students’ Speaking Skill
Authors: Terasne Terasne , Setianingsih Tri 
Published: July 2020

This research was aimed to find out the effect of Problem Based Solving (PBS) Strategy toward students’ speaking skill at SMPN 4 Praya Barat Daya. The kind of this research was a Quasi-experimental research. The samples divided into two classes were: experimental group consist of 27 students and control group consist of 27 students. They were chosen by using Cluster Random sampling technique. The method was non-equivalent control group design. The technique of data collection used pre-test and post-test. The instrument to get students’ score by oral test in the form of speaking test. Then the data was obtained by using t-test formula, The data was analyzed through descriptive analysis and inferential statistic, it shows that value of t-test was 2.409, the mean score of experimental group 86.96 and the mean score of control group was 58.81.Than t-test was higher than t-table with significant level was 0.05 (1.675) with DF was 52. It can be concludes that the used Problem Solving has positive effect towards students’ speaking skill at SMPN 4 Praya Barat Daya , it means the alternative hypothesis was accepted.
Implementasi Aplikasi Penilaian Autentik Berbasis Excel oleh Guru dalam Pembelajaran di SMP Negeri 2 Kayangan
Authors: Iswantari Indah 
Published: July 2020

The purpose of this research is to find out the implementation of authentic excel-based assessment by teachers in learning at SMP Negeri 2 Kayangan. The research method used was descriptive research with 17 subjects. The research instrument used was the monev sheet (monitoring and evaluation). While the data analysis techniques of this study used descriptive qualitative analysis techniques. The results of this study indicate that teachers of SMP Negeri 2 Kayangan have been able to implement authentic based excel assessments very well in their learning. The results of the Monitoring and Evaluation carried out showed that the majority of teachers received a score of 4 (very good) in each assessment indicator.
Model Determinasi Minat Beriwirausaha Mahasiswa
Authors: Fatimah Siska Ernawati , Purdianto Ario 
Published: July 2020

Abstract: One of the highest unemployment rates in Indonesia is educated unemployment which is derived from college graduates. One of the problems of undergraduate graduates in Indonesia is graduates who are not fully absorbed by the availability of employment. The purpose of this study was to examine the effect of entrepreneurial knowledge and entrepreneurial motivation on entrepreneurial interest in students. The research method used is a quantitative method. The population in this study is the final year students at the Faculty of Economics, University of Swadaya Gunung Jati. The number of samples in this study were 85 respondents. Data collection using a questionnaire instrument. Data analysis using multiple regression models with the help of the SPSS application. The research findings show that entrepreneurial knowledge and entrepreneurial motivation have a positive and significant influence on entrepreneurial interest. Future studies are expected to be able to examine more factors that influence entrepreneurial interests that are not examined in this study. Keyword : entrepreneurship knowledge; entrepreneurship motivation; entrepreneurial interest. Abstrak : Angka pengangguran di Indonesia yang tinggi salah satunya adalah pengangguran terdidik yaitu berasal dari lulusan perguruan tinggi. Salah satu permsalahan lulusan sarjana di Indonesia adalah lulusan yang tidak terserap seluruhnya oleh ketersediaan lapangan kerja. Tujuan penelitian ini untuk menguji pengaruh pengetahuan wirausaha dan motivasi wirausaha terhadap minat wirausaha pada mahasiswa. Metode riset yang digunakan adalah metode kuantitatif. Populasi dalam penelitian ini adalah mahasiswa tingkat akhir pada fakultas Ekonomi Universitas Swadaya Gunung Jati. Jumlah sampel dalam penelitian ini sebanak 85 responden. Penarikan data menggunakan instrumen kuesioner. Analisis data menggunakan model regresi ganda dengan bantuan aplikasi SPSS. Temuan penelitian menunjukan bahwa pengetahuan wirausaha dan motivasi wirausaha memiliki pengaruh positif dan signifkan terhadap minat wirausaha. Penelitian selanjutnya diharapkan mampu meneliti lebih banyak faktor yang mempengaruhi minat wirausaha yang tidak diteliti pada penelitian ini. Kata Kunci : Pengetahuan Berwirusaha; Motivasi Berwirausaha; Minat Berwirausaha.
Struktur Kepemilikan, Profitabilitas, dan Nilai Perusahaan: Mediasi Kebijakan Deviden
Authors: Rahmawati Christina Heti Tri 
Published: July 2020

Abstract. This research aims to investigate the influence of insider and institutional ownership, profitability towards firm value through dividend payout ratio as the intervening variable. The research method was quantitative research. The samples employed were the manufacturing companies registered in Indonesia Stock Exchange 2016-2018. The statistic method was analyzed by path analysis. The results of this research showed that insider ownership brought significant negative influence towards the firm value; the profitability brought significant positive influence towards the firm value and the dividend payout ratio brought significant positive influence towards the firm value. The intervening testing results proved the dividend payout did not intervene in the influence of the insider and institutional ownership towards the firm value, and the dividend intervened in the influence of profitability towards the firm value. The research implication for investors includes the drastic increase in profit and benefits. Meanwhile, for companies, they could enhance the insider share ownership and performance to earn optimum profitability and dividend that could boost the firm’s value and grab more investors. Keywords: Insider Ownership; Institutional Ownership; Profitability; Firm Value; Dividend Payout Ratio. Abstrak. Penelitian ini bertujuan menguji pengaruh kepemilikan manajerial, kepemilikan institusional dan profitabilitas terhadap nilai perusahaan melalui kebijakan deviden sebagai variabel mediasi. Metode penelitian yang digunakan adalah penelitian kuantitatif. Sampel yang digunakan adalah perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia tahun 2016-2018. Metode statistik untuk menguji hipotesis menggunakan analisis jalur. Hasil penelitian menunjukkan kepemilikan manajerial berpengaruh negatif signifikan terhadap nilai perusahaan; profitabilitas dan kebijakan deviden berpengaruh positif signifikan terhadap nilai perusahaan serta kebijakan deviden berpengaruh positif signifikan terhadap nilai perusahaan. Sedangkan hasil uji mediasinya membuktikan kebijakan deviden tidak memediasi pengaruh kepemilikan manajerial dan kepemilikan institusional terhadap nilai perusahaan;serta kebijakan deviden memediasi pengaruh profitabilitas terhadap nilai perusahaan. Implikasi penelitian ini bagi investor dapat memilih perusahaan dengan tingkat laba yang tinggi sehingga menerima keuntungan tinggi. Sedangkan bagi perusahaan dapat meningkatkan kepemilikan saham manajerial dankinerja perusahaan agar menghasilkan profitabilitas yang optimal serta dividen yang tinggi, sehingga meningkatkan nilai perusahaan dan menarik investor. Kata kunci: Kepemilikan Manajerial; Kepemilikan Institusional;Profitabilitas; Nilai Perusahaan; Kebijakan Deviden.
Prevalence of Novel Psychoactive Substance (NPS) Use in Patients Admitted to Drug Detoxification Treatment
Authors: Specka Michael , Kuhlmann Thomas , Sawazki Jürgen , Bonnet Udo , Steinert Renate , Cybulska-Rycicki Monika , Eich Helmut , Zeiske Benita , Niedersteberg Antje , Schaaf Luzia , Scherbaum Norbert 
Published: July 2020

BackgroundAbout 15 years ago, a diverse group of new recreational psychotropic substances began to emerge, which were marketed for example as “legal highs,” “research chemicals,” or “designer drugs.” These substances were later subsumed under the label “Novel Psychoactive Substances” (NPS). Important NPS classes are cathinones, synthetic cannabimimetics, phenethylamines, and herbal drugs. The health care system for psychotropic substance use disorders (SUDs) traditionally focused on a few substances, such as alcohol, heroin, cocaine, amphetamines, or cannabis. Users of illicit substances often engage in polydrug use. However little is known about the prevalence of NPS use within the group of “classical” illicit substance users.ObjectiveWe investigated lifetime and recent use of NPS and other drugs in patients who underwent in-patient detoxification treatment from illicit drugs in Germany.MethodsIn a multicenter study with eight participating facilities, patients admitted to treatment underwent a standardized interview at admission, concerning their past and current substance use. The interview comprised classical substances of abuse, NPS, and rarely used substances such as LSD. In addition, participating sites had the opportunity to analyze their patients’ routine drug screenings by means of gas chromatography/mass spectrometry (GC/MS), which permitted detection of NPS.ResultsInterviews from 295 patients could be analyzed. Most patients were opiate dependent and multiple substance users. About 32% reported use of synthetic cannabimimetics during lifetime, but usually only a few times. An important reason for their use was that NPS were not detected by drug testing in prisons or drug treatment facilities. Cathinones, herbal drugs or other NPS had rarely been used during lifetime. NPS use during the last 30 days before admission was nearly zero. This was confirmed by urine analysis results. In contrast, lifetime and current use of opiates, alcohol, cocaine, benzodiazepines, and cannabis was high. In addition, 18% reported of regular unprescribed pregabalin use during lifetime, and 20% had recently used pregabalin.ConclusionPatients admitted to drug detoxification treatment showed multiple substance use, but this did not include NPS use. The diversion of legal medications such as pregabalin in this group is a serious concern.
Rumpon Atraktor Ijuk: Teknologi Alat Bantu Penangkapan Ikan untuk Nelayan Kabupaten Nagan Raya, Provinsi Aceh
Authors: Hafinuddin Hafinuddin , Edwarsyah Edwarsyah , Rizal Muhammad 
Published: July 2020

Traditional fish aggregating devices (FADs) as fishing aids for surface gill net to catch pelagic fish were used by fishery community partner at Kuala Pesisir Sub District Nagan Raya District, so that operational/maintenance is high cost and those incomes of gill net’s fishermen obtains small. Therefore, palm fiber FADs technology is expected to alternatively increase income of surface gill net fishermen. Education, training, and accompaniment is approached to accomplish fishermen problems. Community partnership programe (PKM) was conducted in March until November 2018. Community partnership programe has increased knowledge and skill for fishery community. In addition, the quality of palm fiber FADs technology is better than the traditional FADs and production of fish catching.