bluuebunny/crossref_metadata_2025 huggingface dataset:
Redox parameters in blood of thyroid cancer patients after the radioiodine ablation
Authors: Spasojevic-Tisma Vera , Matovic Milovan , Mihaljevic Olgica , Zivancevic-Simonovic Snezana , Jeremic Marija , Jakovljevic Vladimir , Todorovic Vera , Pavlovic Ivan , Pejic Snezana , Todorovic Ana
Published: February 2018

The radioactive iodine (131I) ablation is a well-accepted treatment modality
for differentiated thyroid cancer patients. Unfortunately, the radiation
induces the oxidative stress and damages cells and tissues, simultaneously
activating the mechanisms of antioxidative defense. Since the mechanisms of
those processes are not completely known, we wanted to examine the changes in
the most important reactive oxygen species and antioxidative components, as
well as their correlation and significance for lipid peroxidation. Our
results showed that the level of thiobarbituric acid reactive substances was
increased during the first 30 days after the radiotherapy. Among antioxidant
components, superoxide dismutase was increased in the 3rd and 30th day;
catalase in 7th and reduced glutathione in 3rd and 7th day after the
radiotherapy. As regards the prooxidants, the reduction of hydrogen peroxide
(H2O2) was recorded in 7th and 30th day, and superoxide anion radical (O?-)
was unchanged after the exposure to 131I. These results indicate that
differentiated thyroid cancer patients are under constant oxidative stress
despite the observed increase in antioxidative and reduction in prooxidative
parameters. The understanding of these early processes is important since
their progress determines the latter effects of 131I therapy.
Multiple solutions test part I: Development and psychometric evaluation
Authors: Zivanovic Marko , Bjekic Jovana , Opacic Goran
Published: February 2018

As people outside the context of testing seldom find themselves in situations where they are presented with limited options and a single correct answer, with all others being equally wrong, a modification of traditional intelligence tests (in terms of increasing its flexibility), can potentially provide a more comprehensive and a more valid measure of intelligence. Therefore, the aim of this study is the development and psychometric evaluation of the figural reasoning test in the form of matrices with multiple solutions. Unlike conventional intelligence tests, in this test the subjects are faced with more than one task, i.e., to detect: 1) the best solution ? a figure that completes a given matrix best; 2) the second-best solution ? a figure that would complete the matrix in the best way if the best answer was absent; 3) the least accurate option ? a figure that completes the given matrix in the least accurate way. In the process of test development, an initial set of 80 items was designed and administrated to a sample of 41 participants, with the goal of gaining insight into the quality and the need for adjustments of the initial item pool. Psychometric characteristics of the instrument consisting of 74 items with three types of tasks have been evaluated on a sample of 263 participants, after which the short version of the instrument is proposed. All three tasks within the test and test as a whole have shown goo d internal psychometric properties (? the best = .92, ? the second-best = .90, ? the least accurate = .87; ? full-scale = .95) offering a possibility of reliable measurement of intelligence with a brother scope.
Assessing the candidate in the selection interview: The role of interviewer’s personality
Authors: Cerovic Sofija , Petrovic Ivana
Published: February 2018

The study explores the relative contribution of interviewers? personality and
interviewers? ratings of candidate?s personality in predicting interviewers?
ratings of candidate?s job suitability and examines the moderating effect of
interviewers? personality on the relationship between ratings of candidate?s
personality and job suitability. Results showed that ratings of candidate?s
Big Five personality traits were related to ratings of candidate?s job
suitability, as well as were interviewers? Agreeableness and Extraversion.
Interviewers? Openness and Agreeableness had a moderating effect on the
relationship between interviewers? ratings of candidate?s personality traits
and ratings of candidate?s job suitability. Results reveal the role that
interviewer?s Agreeableness, Extraversion and Openness play in the assessment
of candidate in the selection interview.
A model of the relationships between the Big Five personality traits and the motivations to deliver word-of-mouth online
Authors: Anastasiei Bogdan , Dospinescu Nicoleta
Published: February 2018

The goal of this research is to establish the relationships between the Big Five personality traits ? Extraversion, Agreeableness, Conscientiousness, Neuroticism and Openness ? and the motivations to deliver electronic word-of-mouth (eWOM) in the social media. The research method was based on a survey administered to 262 subjects, mostly students and young professionals. The personality traits that are most related to eWOM are Extraversion (that influences the need for social appreciation and Positive self-enhancement) and Openness to experience (that determines the concern for others and the desire to help good companies). Conscientiousness has a negative relationship with the tendency to Vent negative feelings about a bad buy, while Neuroticism has a slight influence on the motivation to get Social benefits and Self-enhancement. Knowing the prevalent personality traits and motivations of the eWOM transmitters, the company communication strategist can figure out the most proper ways to approach them. This paper is one of the few that throughly investigates the relationship between personality traits and the intrinsic motivations to write online reviews about companies and brands.
Structure of subjective experience of classical music
Authors: Zivanovic Marko , Vukcevic-Markovic Masa , Bogunovic Blanka
Published: February 2018

Previous studies on the subjective experience of music did not give unambiguous results related to the number and content of dimensions underlying the experience that one has in contact with various musical pieces. Furthermore, previous studies have provided no evidence relating to the structure of subjective experience of classical music pieces. The aim of this study was to determine the number of structurally distinct dimensions of the musical experience of classical music pieces and the relations among obtained dimensions. The research was conducted in two phases. In the first phase, 28 participants were asked to produce descriptions of their subjective experience of 44 short segments of music pieces. In the second phase, 44 participants rated the same set of musical pieces using a scale comprised of the most frequent descriptors obtained in the first phase of the study. Results have shown that musical experience descriptors are grouped into five interrelated dimensions of musical experience: the Aesthetic Experience, Affective Tone, Tension, Content?Fullness, and Structure. The paper discusses the nature of these dimensions, their relationship and compares them to those obtained in previous studies both related to the experience of music as well as art in other modalities.
Simultaneous effects of inflectional paradigms and classes in processing of Serbian verbs
Authors: Filipovic-Djurdjevic Dusica , Gataric Isidora
Published: February 2018

In this paper we show that the processing of inflected verb forms is simultaneously influenced by the distributional properties of their inflectional paradigm (all the inflected forms of the given verb) and also by their inflectional class (all the verbs that conjugate in the same manner). Thus, we generalize a finding that was previously observed with nouns. We demonstrate that a divergence of the frequency distribution within inflectional paradigm from the frequency distribution within inflectional class (operationalized as Relative entropy between the two frequency distributions) is detrimental to processing. We present the results of a visual lexical decision experiment and the results of a simulation that was ran in the Naive Discriminative Reader, a simple computational model based on basic learning principles. We show that Relative entropy between an inflectional paradigm and an inflectional class predicts both empirically observed and simulated processing latencies. By doing so, we add to the body of research that investigates processing effects of information theory based descriptions of language. We also demonstrate that the effect of Relative entropy on the processing of morphology can arise as a consequence of the principles of discriminative learning in a system that maps input cues to outcomes, with no specification of morphology per se.
Psychometric properties of the Serbian version of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV)
Authors: Lazarevic Ljiljana , Knezevic Goran , Mitic Marija , Djuric-Jocic Dragana
Published: February 2018

The Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) is an individually administered clinical instrument designed for assessment of intellectual abilities of adolescents and adults. The WAIS-IV consists of 15 subtests (10 core and 5 supplemental) reflecting the efficacy of cognitive functioning in four domains (verbal comprehension-VCI, perceptual reasoning-PRI, working memory-WMI, and processing speed-PSI), and general intellectual ability (Full-Scale IQ-FSIQ). The WAIS-IV was administered to a sample of 262 respondents ? specifically, 104 respondents from sample representative for the wider Belgrade area, 62 schizophrenic, 63 depressive, and 33 patients with intellectual disability. Psychometric properties of WAIS-IV subtests were analysed within the frameworks Item Response Theory (IRT) and Classical Test Theory (CTT). Results show that IRT reliability of subtests ranges from .86 (Comprehension and Picture Completion) to .95 (Cancellation), while the IRT reliability of the FSIQ is .94. Overall, all subtests discriminate participants well along the whole continuum of intellectual abilities. The WAIS-IV enables highly reliable assessment of intellectual abilities on Serbian population.
Are Credit Ratings More Rigorous for Widely Covered Firms?
Authors: Bonsall Samuel B. , Green Jeremiah R. , Muller Karl A.
Published: February 2018

We study how business press coverage can discipline credit rating agency actions. Because of their greater prominence and visibility to market participants, more widely covered firms can pose greater reputational costs for rating agencies. Consistent with rating agencies limiting such risk, we find that ratings for more widely covered firms are more timely and accurate, downgraded earlier and systematically lower in the year prior to default, and better predictors of default and non-default. We also find that the recent tightening of credit rating standards is largely explained by growing business press coverage of public debt issuers. Additionally, we find that credit rating agencies take explicit actions to improve their ratings by assigning better educated and more experienced analysts to widely covered firms. Moreover, we document that missed defaults of more visible firms create greater negative economic consequences for rating agencies, and that rating improvements following the financial crisis were greater for more visible firms.

Data Availability: All data are publicly available from the sources identified in the text.
Initiating Titratable Fixed-Ratio Combinations of Basal Insulin Analogs and Glucagon-Like Peptide-1 Receptor Agonists: What You Need to Know
Authors: Skolnik Neil , Hinnen Debbie , Kiriakov Yan , Magwire Melissa L. , White John R.
Published: February 2018

IN BRIEF Titratable fixed-ratio combinations (FRCs) of a basal insulin and a glucagon-like peptide-1 (GLP-1) receptor agonist are new therapeutic options for people with type 2 diabetes. Two FRCs—insulin degludec/liraglutide and insulin glargine/lixisenatide—have been approved for use in the United States. The two components in these FRCs target different aspects of diabetes pathophysiology, working in a complementary manner to decrease blood glucose while mitigating the side effects associated with each component (hypoglycemia and weight gain with insulin and gastrointestinal side effects with GLP-1 receptor agonists). This article reviews these products and key considerations for their use.
Elevated Serum Xanthine Oxidase Activity Is Associated With the Development of Type 2 Diabetes: A Prospective Cohort Study
Authors: Li Xue , Meng Xing , Gao Xiangchun , Pang Xiuyu , Wang Yanjiao , Wu Xiaoyan , Deng Xinrui , Zhang Qiao , Sun Changhao , Li Ying
Published: February 2018

OBJECTIVE

We aimed to evaluate whether xanthine oxidase (XO), a key enzyme in uric acid (UA) metabolism and a major source of reactive oxygen species, plays a causal and important role in the development of type 2 diabetes mellitus (T2DM) in a large prospective cohort study.

RESEARCH DESIGN AND METHODS

A total of 4,412 diabetes-free adults (2,071 women and 2,341 men) aged 30–65 years at baseline in 2008 were involved. Participants were followed for incident change of glucose metabolism during an average of 4.7 years. At baseline, serum XO and UA, serum lipids, and glucose homeostasis indexes including fasting blood glucose (FBG), 2-h blood glucose (PBG), glycosylated hemoglobin A1c (HbA1c), and fasting insulin were tested for analysis.

RESULTS

During an average follow-up period of 4.7 years, 249 women and 360 men developed new-onset T2DM. Serum XO activity was positively associated with UA concentration (all P values <0.001). When XO activity and UA concentration were considered in the same model of the sex-specific analysis, only XO activity was significantly associated with the incidence of T2DM, with the hazard ratios from the bottom to the top quartile of XO activity being 1.00, 1.67 (95% CI 1.00–2.79), 1.86 (1.11–3.13), and 2.36 (1.43–3.90) in women and 1.00, 1.01 (0.68–1.52), 1.41 (0.98–2.03), and 1.90 (1.30–2.78) in men.

CONCLUSIONS

Elevated serum XO activity, but not UA concentration, was associated with an increased risk of developing T2DM in women and men with mutual adjustment for XO and UA. Further studies are needed to examine the underlying mechanisms.
Increasing Mortality in Adults With Diabetes and Low Estimated Glomerular Filtration Rate in the Absence of Albuminuria
Authors: Kramer Holly , Boucher Robert E. , Leehey David , Fried Linda , Wei Guo , Greene Tom , Rosas Sylvia E. , Cooper Richard , Cao Guichan , Beddhu Srinivasan
Published: February 2018

OBJECTIVE

Improved blood pressure control and use of renin-angiotensin-aldosterone system blockers have altered the clinical presentation or phenotype of chronic kidney disease (CKD) in U.S. adults with diabetes. These changes may influence mortality.

RESEARCH DESIGN AND METHODS

Data from the National Health and Nutrition Examination Surveys (NHANES) 1988–2006 were used to examine mortality trends in adults with diabetes, defined as physician diagnosis, fasting glucose ≥126 mg/dL, HbA1c >6.5% (48 mmol/mol), or use of glucose-lowering medications. Mortality trends by CKD phenotype (estimated glomerular filtration rate [eGFR] and urine albumin-to-creatinine ratio [ACR] level) were obtained via linkage with the National Death Index through 31 December 2011 while accounting for the complex survey design.

RESULTS

From 1988 to 2006, adults with an eGFR <60 mL/min/1.73 m2 and an ACR <30 mg/g increased from ∼0.9 million (95% CI 0.7, 1.1) or 6.6% of the total population with diabetes during years 1988–1994 to 2.4 million (95% CI 1.9, 2.9) or 10.1% of the total population with diabetes during years 2007–2010. Mortality rates generally trended downward for adults with diabetes and an ACR ≥30 mg/g but increased in those with eGFR <60 mL/min/1.73 m2 and an ACR <30 mg/g from 35 deaths per 1,000 person-years (95% CI 22, 55) during years 1988–1994 to 51 deaths per 1,000 person-years (95% CI 33, 83) during years 2003–2006.

CONCLUSIONS

ACR values are decreasing in U.S. adults with diabetes, but optimal management strategies are needed to reduce mortality in those with a low eGFR and an ACR <30 mg/g.
Perancangan Alat Peringatan Dini Bahaya Banjir dengan Mikrokontroler Arduino Uno R3
Authors: Mulyana I. Eka , Kharisman Rindi
Published: February 2018

Bencana alam merupakan bencana yang tidak dapat di hindari, tetapi walaupun bencana tersebut tidak dapat dihindari, kita bisa mencegah banyaknya jatuh korban akibat bencana tersebut. Contoh nyata pada saat ini yaitu bencana banjir, sudah tidak asing lagi di negeri kita di setiap kota besar yang dilalui sungai besar sering terjadi banjir apabila musim hujan datang, yang setiap tahunnya memakan korban jiwa ataupun materi. Dalam kenyataanya sudah ada alat yang berfungsi sebagai sistem peringatan dini bahaya banjir yang bisa menghitung kecepatan naiknya air, namun di Waduk Darma Kuningan alat tersebut belum ada dan dipakai sebagai peringatan dini bahaya banjir. Maka dari itu timbul ide peneliti untuk membuat salah satu teknologi terapan yaitu alat yang berfungsi untuk peringatan dini bahaya banjir. Penelitian ini dilakukan di Waduk Darma Kuningan untuk pengambilan sampel indikator peringatan dini bahaya banjir. Dengan menggunakan pendekatan kualitatif dan deskriptif. Alat peringatan dini bahaya banjir ini menggunakan Mikrokontroler Arduino Uno R3 dan sensor yang digunakan untuk mengukur ketinggian air yaitu sensor kapasitif, yang nantinya hasil pembacaan dari sensor kapasitif akan ditampilkan pada sebuah display Lcd 16x2 character.Natural disaster is a disaster that can not be avoided, but even if the disaster can not be avoided, we can prevent many fall victims of the disaster. A concrete example is the current flood disaster, is not foreign in our country in every major city through which the great river often floods when the rains come, which annually casualties or materiall. In fact there are already tools that serves as an early warning system of flood hazards that can calculate the speed of the rising water, but at the Waduk Darma Kuningan instruments are not used as an early warning and flood hazard. Thus arose the idea of the researcher to make one of the applied technology is a tool that works for early warning flood hazard. The research this is from Waduk Darma Kuningan brass for EWI sampling flooding. By using a qualitative approach and descriptive.Arduino Uno microcontroller and sensors are used to measure the water level capacitive sensor, which will result from capacitive sensor readout is displayed on a 16x2 character lcd display.
Robot Scanner Gambar Menggunakan Intensitas Cahaya
Authors: David David , Kosasi Sandy
Published: February 2018

Banyak teknologi robot yang dapat digunakan untuk meniru mesin-mesin dengan kemampuan digitalisasi. Salah satu teknologi robot yang terkenal sekarang adalah Lego Mindstorms NXT 2.0 dengan platform Mindstorm NXT-G. Pada Penelitian ini, dirakit dan dikodekan program sebuah robot scanner menggunakan intensitas cahaya. Metode yang digunakan adalah metode Mindstorms dengan robot Lego Minstorms NXT 2.0. Metode ini adalah metode sederhana yang terdiri dari empat tahapan yaitu mencari ide untuk robot, membangun robot, memprogram robot dan dokumentasi. Pemrograman robot dengan menggunakan bahasa pemrograman NXT-G digunakan untuk mendapatkan program yang bekerja terbaik. Pengujian V-model akan digunakan untuk menguji program utama. Robot yang dibuat dengan menggunakan Lego Mindstorms NXT 2.0 dapat melakukan scanning pada gambar dengan output pada Layar NXT Brick. Robot dapat membedakan warna berdasarkan intensitas cahaya yang dipantulkan. Sensor warna mendeteksi pantulan infra merah pada permukaan kertas yang berwarna dengan intensitas tertentu. Hasil pendeteksian disimpan dalam memory dan sebagai pusat kendali dari robot ini menggunakan NXT Brick yang sudah termasuk dalam paket LEGO MINDSTORMS NXT 2.0.A lot of Robot technology that can be used to act like machines with digital ability. Nowadays, one of the famous robot technology is Lego Mindstorms NXT 2.0 with Mindstorm NXT-G platform. In this research, created and coded by program, a scanner robot uses light intensity. Method that being used is Mindstorms method with Lego Mindstorms NXT 2.0. robot. This method is a simple method with four steps. They are find the idea for the robot, construct the robot, program the robot and documentation. Robot programming with NXT-G programming language is use to get the best working program. V-Model test will be use to test the main program. Robot that being created with Lego Mindstorms NXT 2.0 can do scanning to an image with output from the NXT brick screen. Robot can differentiate colors base on light intensity that has been reflected. Color censor detect infrared reflection at the colored paper surface with certain intensity. Result of the detection is being saved into memory and as the control center from this robot, it uses NXT brick that has been included in the LEGO MINDSTORMS NXT 2.0. package.
Perancangan Aplikasi Prediksi Kelulusan Tepat Waktu Bagi Mahasiswa Baru Dengan Teknik Data Mining (Studi Kasus: Data Akademik Mahasiswa STMIK Dipanegara Makassar)
Authors: Mustafa Muhammad Syukri , Simpen I. Wayan
Published: February 2018

Penelitian ini dimaksudkan untuk melakukan prediksi terhadap kemungkian mahasiswa baru dapat menyelesaikan studi tepat waktu dengan menggunakan analisis data mining untuk menggali tumpukan histori data dengan menggunakan algoritma K-Nearest Neighbor (KNN). Aplikasi yang dihasilkan pada penelitian ini akan menggunakan berbagai atribut yang klasifikasikan dalam suatu data mining antara lain nilai ujian nasional (UN), asal sekolah/ daerah, jenis kelamin, pekerjaan dan penghasilan orang tua, jumlah bersaudara, dan lain-lain sehingga dengan menerapkan analysis KNN dapat dilakukan suatu prediksi berdasarkan kedekatan histori data yang ada dengan data yang baru, apakah mahasiswa tersebut berpeluang untuk menyelesaikan studi tepat waktu atau tidak. Dari hasil pengujian dengan menerapkan algoritma KNN dan menggunakan data sampel alumni tahun wisuda 2004 s.d. 2010 untuk kasus lama dan data alumni tahun wisuda 2011 untuk kasus baru diperoleh tingkat akurasi sebesar 83,36%.This research is intended to predict the possibility of new students time to complete studies using data mining analysis to explore the history stack data using K-Nearest Neighbor algorithm (KNN). Applications generated in this study will use a variety of attributes in a data mining classified among other Ujian Nasional scores (UN), the origin of the school / area, gender, occupation and income of parents, number of siblings, and others that by applying the analysis KNN can do a prediction based on historical proximity of existing data with new data, whether the student is likely to complete the study on time or not. From the test results by applying the KNN algorithm and uses sample data alumnus graduation year 2004 s.d 2010 for the case of a long and alumni data graduation year 2011 for new cases obtained accuracy rate of 83.36%.
Pengenalan Simbol Jarimatika Menggunakan Orientasi Histogram dan Multi-layer Perceptron
Authors: Sunyoto Andi , Harjoko Agus
Published: February 2018

Makalah ini membahas tentang pengenalan simbol-simbol Jarimatika menggunakan Jaringan Syaraf Tiruan (JST). Hasil penelitian ini dapat digunakan untuk pengembangan aplikasi perhitungan Jarimatika dan interaksi antara manusia dan komputer yang lebih natural. Segmentasi yang digunakan adalah orientasi histogram, algoritma JST yang digunakan adalah back propagation multi-layer perceptron. Layer-layer JST tersebut adalah satu layer input, satu hidden layer dan satu output layer. Penelitian ini betujuan untuk implementasi pengenalan pola simbol Jarimatika menggunakan JST multi-layer perceptron, implementasi harus mampu menghasilkan klasifikasi dengan benar, sistem harus mampu melakukan klasifikasi dari gambar statis, sehingga dapat menganalisa pengenalan gestur tangan dari simbol-simbol Jarimatika.Penelitian ini menggunakan 18 simbol dasar Jarimatika. Total citra yang digunakan adalah 360 yang terbagi atas 270 citra untuk training dan 90 citra untuk testing. Hasil penelitian ini menunjukkan bahwa JST multi-perceptron dapat digunakan untuk pengenalan simbol Jarimatika dengan akurasi 93.33%. Jumlah neuron yang optimal pada hidden layer adalah 725. Implementasi penelitian ini menggunakan Matlab versi 7 (R2010a).This paper focuses on the recognition of Jarimatika symbols using Artificial Neural Network (ANN). The results of this research can be used to develop applications for the Jarimatika and to make interaction between humans and computers more natural. The Segmentation used is orientation histograms, the ANN algorithm used is back propagation multi-layer perceptron. Th layers of the ANN are one input layer with 19 data, one hidden layer and one output layer. This research aims to implement Jarimatika symbols with pattern recognition and multi-layer perceptron algoritm, the implementation must be able to produce the correct classification, the system must be able to perform the classification of static images, so can analyze the recognition of hand gestures from Jarimatika symbols. This research uses 18 basic Jarimatika symbols. Total image used were 360, consisting of 270 images for training and 90 images for testing. The results of this study indicate that the multi-layer perceptron ANN can be used for recognition of Jarimatika symbols with accuracy 93.33%. The optimal number of neurons in the hidden layer is 725. Implementation of this research using Matlab version 7 (R2010a).
Rekam Jejak Dosen Sebagai Model Pengambilan Keputusan Dalam Pemilihan Dosen Berprestasi
Authors: Safrizal Safrizal
Published: February 2018

Sistem pendukung keputusan merupakan sistem informasi komputer yang digunakan oleh para pembuat keputusan untuk mendapatkan hasil keputusan terbaik dari beberapa alternatif keputusan sehingga memberikan hasil akhir yang tepat dan akurat. Salah satu metode pengambilan keputusan dalam situasi yang kompleks adalah dengan menggunakan metode Analytic Hierarchy Process (AHP). Di STMIK Potensi Utama rekam jejak dosen dilakukan setiap semester yang meliputi administrasi dosen, metode proses belajar mengajar, kegiatan dosen, penelitian dan pengabdian masyarakat yang dilaksanakan oleh dosen. Sulitnya menemukan dosen yang mempunyai prestasi pada rekam jejak tersebut, maka penulis melakukan penelitian dalam hal pemanfaatan rekam jejak dosen sebagai keputusan dalam pemilihan dosen berprestasi menggunakan metode AHP. Hasilnya adalah Administrasi Dosen (0.513 atau 51,3%), Metode PBM (0.261 atau 26,1%), Seminar/Kegiatan Dosen (0.063 atau 6,3%), Penelitian (0.129 atau 12,9%), Pengabdian Masyarakat (0.033 atau 3,3%). Kriteria Administrasi Dosen merupakan kriteria terpenting diantara kriteria yang lain. Sedangkan hasil evaluasi rekam jejak dosen yang memiliki bobot prioritas yang paling tinggi dalam pemilihan dosen berprestasi adalah prioritas pertama dimiliki oleh Dosen A dengan bobot 0,349 atau 34,9%, prioritas kedua dimiliki oleh Dosen A dengan nilai bobot 0,0337 atau 33,7% dan Dosen B memiliki perioritas ketiga dengan nilai bobot nilai 0,314 atau 31,4%.Decision support system is an interactive information system used by the decision makers in order to obtain the best decision result among some other alternatives. One of the decision taking methods in complex situation is Analytic Hierarchy Process (AHP). At STMIK POTENSI UTAMA is done regularly every semester including lecture’s administration learning teaching method, lecture’s activities, research and social awareness done comprehensively by lecture’s. However, it is difficult to find the lectures who have full filled those qualification, the written to write about a lecturer track record as model of decision taking in selecting lecturer performance by applying AHP Method. The finding are Lecture’s Administration (0.513 or 51,3%), PBM Method (0.261 or 26,1%), seminary/lecture’s Activities (0.063 or 6,3%), Research (0.129 or 12,9%), and social awareness (0.033 or 3,3%). It implies that lecture’s administration criteria is the most important among others. While the evaluation of lecture’s track recording that have high priority in lectures a with 0,349 or 34,9%, the second priority goes on lectures A with 0,0337 or 33,7% and lectures B is the third priority with 0,314 or 31,4%.
Perancangan Sistem Pendukung Keputusan Penentuan Impor Bawang Merah
Authors: Widayani Wiwi , Kusrini Kusrini , Fatta Hanif Al
Published: February 2018

Pertambahan jumlah penduduk Indonesia serta meningkatkannya permintaan industri akan bawang merah yang tidak diimbangi dengan jumlah produksi mendorong pemerintah membuka impor bawang merah. Impor dilakukan untuk menjaga keseimbangan harga dan pasokan bawang merah sehingga inflasi yang diakibatkan kenaikan harga bawang merah dapat ditekan, namun impor yang tidak tepat jumlah akan mengakibatkan kerugian bagi pihak petani, perlu adanya sistem pendukung dalam menentukan volume impor guna menjaga keseimbangan harga pasar dan pemenuhan kebutuhan bawang merah. Sistem pendukung keputusan yang dirancang menerapkan Fuzzy Inference System (FIS) Tsukamoto. Sistem yang dirancang memungkinkan pengguna untuk melakukan training data dan testing data, proses dalam training data yaitu : 1)Clustering data latih, menggunakan algoritma K-Means 2)Ekstraksi Aturan, 3)Testing data latih, hitung nilai impor dengan fuzzy Tsukamoto, 4)Menganalisa error hasil fuzzy menggunakan MAPE(Means Absolute Percentage Error), 5)Testing Data Uji dan menganalisa hasil error data uji. Hasil Uji Model menunjukan penentuan impor bawang merah dengan parameter input harga petani, harga konsumen, produksi, konsumsi, harga impor dan kurs terhadap 60 data latih menghasilkan error terendah sebesar 0.07 pada 12 cluster, hasil uji mesin inferensi terhadap data uji menghasilkan error sebesar 0.25. Indonesian population growth and increase industrial demand shallot is not matched with number of production prompted the government to opened shallot imports. Import done to maintain the balance price and supply of shallot so inflation caused by rising prices of onion can be suppressed, but not the exact amount of imports would result in losses for the farmers, support system in determining volume imports is need to maintain balance of market price and needs of shallot. Decision support system designed to apply Fuzzy Inference System (FIS) Tsukamoto. The system is allows the user to perform the training data and testing data, the training process performs are: 1) Clustering training data, using the K-Means algorithm 2) Extraction Rule, 3) Testing data, calculate imports value by fuzzy Tsukamoto, 4) analyze the results error using MAPE (Means Absolute Percentage error), 5) testing test data and analyze the results error. The results show the determination of imported shallot with input parameters producer prices, consumer prices, production, consumption, import prices and the exchange rate against 60 training data produces the lowest error of 0:07 in 12 clusters, the inference engine test resulted in an error of 0.25.
Kendali Logika Fuzzy Pada Robot Line Follower
Authors: David David
Published: February 2018

Pada Penelitian ini, dirakit dan dikodekan program sebuah robot line follower menggunakan sensor cahaya. Logika fuzzy digunakan sebagai kendali dalam mengidentifikasi kecepatan robot agar dapat bergerak dan berjalan sesuai dengan jalur/garis pita berwarna hitam. Metode yang digunakan adalah metode Mindstorms dengan robot line follower berbasiskan microcontroller seri ATMega16. Metode ini adalah metode sederhana yang terdiri dari empat tahapan yaitu mencari ide untuk robot, membangun robot, memprogram robot dan dokumentasi. Pemrograman robot dengan menggunakan bahasa pemrograman BASCOM AVR digunakan untuk mendapatkan program yang bekerja terbaik. Pengujian dilakukan terhadap penggunaan sensor, motor DC dan ketelitian gerak line follower. Robot line follower yang dibuat dengan menggunakan microcontroller ATMega16 dapat melakukan scanning jalur pita berwarna hitam dan laju pergerakan berdasarkan kendali logika fuzzy.In this study, assembled and coded program a line follower robot using a light sensor. Fuzzy logic is used as a control in order to identify the speed of the robot can move and run in accordance with the path / line black ribbon. The method used is a method Mindstorms robot line follower based microcontroller ATmega16 series. This method is a simple method that consists of four stages, namely looking for ideas for robots, building robots, robot programming and documentation. Programming robots using BASCOM AVR programming language used to get a program that works best. Tests conducted on the use of sensors, DC motors and precision motion line follower. Line follower robot created using ATmega16 microcontroller can scan a black ribbon path and rate of movement is based on fuzzy logic control.
Rancangan Lowongan Kerja Online Menggunakan Metode User Centered Design (Studi Kasus: Business Placement Center STMIK AMIKOM Yogyakarta)
Authors: Sari Rhomita , Utami Ema , Amborowati Armadyah
Published: February 2018

Business Placement Center membantu mengelola website alumni dalam memenuhi kebutuhan alumni salah satunya memberikan informasi mengenai lowongan pekerjaan. Website Alumni Amikom sudah memberikan informasi mengenai lowongan pekerjaan. Namun website alumni masih perlu ditambahkan fitur-fitur menu penunjang dalam mempermudah pencarian informasi pekerjaan yang sesuai keinginan pengguna. Penggunaan metode User Centered Design untuk mempermudah pengguna dalam menggunakan fasilitas yang ada pada website ketika mencari informasi lowongan pekerjaan dan pengguna berperan penting dalam setiap proses UCD. Dengan pendekatan User Centered Design diharapkan dapat menghasilkan tampilan dan fungsionalitas yang maksimal pada rancangan sistem yang dibangun sehingga sesuai dengan kebutuhan pengguna. Metode penelitian yang dilakukan yaitu observasi, wawancara dan kuesioner untuk mengetahui kebutuhan pengguna. Analisis dan perancangan menggunakan pendekatan User Centered Design dan implementasi perancangan sistem. Hasil penelitiannya adalah pengguna merasa nyaman dengan tampilan antarmuka website yang sudah dibangun, informasi yang disajikan mudah dipahami dan fitur-fitur menu sudah berhasil berjalansesuai fungsi.Business Placement Center help manage the website for the needs of alumnus one of them is to provide information on a vacancy. The alumnus website’s provides information about job vacancy. The website still need the support to facilitate the searching all the features the work in accordance with what the use. The method of user centered design to make it easy for users in the use of the existing facilities at the website while searching for information a vacancy and users play an important role in any proses UCD. User Centered Design approach is expected to produce the interface and functionality maximal built in the system so that in accordance with the need of users. Research methodology was by observation, interviews and quesionnaires to find out the need of users. Analysis and design using UCD approach and implementation of the system. The results of research is users feel comfortable with a display interface of website which have been built, the information is easily understood and menu features has been successfully run a function.
Perancangan Sistem Pendukung Keputusan Seleksi Penerimaan Pegawai Menggunakan Metode SAW pada PDAM Tirta Dharma Tegal
Authors: Murtopo Aang Alim , Putri Retno Ayuning
Published: February 2018

Kwalitas sumber daya yang tinggi sangatlah diperlukan untuk meningkatkan produktivitas kerja satu perusahan, sumber daya yang mempunyai keahlian dan kopetensi akan dapat meningkatkan pelayanan yang lebih maksimal. Untuk itu proses seleksi pegawai akan lebih profesional maka perlu dibangun sebuah sistem pendukung keputusan untuk membantu dalam menyeleksi pegawai pada PDAM Tirta Dharma Kota Tegal. Metode yang digunakan adalah metode SAW (Simple Additive Weighting). Metode ini dipilih karena dapat menentukan nilai bobot untuk setiap atribut, kemudian dilanjutkan dengan proses perankingan yang akan menyeleksi alternatif terbaik dari sejumlah alternatif, dalam hal ini alternatif yang dimaksud adalah yang berhak diterima sebagai pegawai baru berdasarkan kriteria-kriteria yang ditentukan. Kriteria yang digunakan untuk proses seleksi dalam penelitian ini antara lain Tes Tertulis, Psikotes, Pendidikan, IPK dan Wawancara. Hasil dari penelitian sebuah perancangan sistem pendukung keputusan sebagai alat bantu untuk pengambilan keputusan manajemen, Selain itu dalam proses seleksi penerimaan pegawai ini juga dapat dilakukan dengan lebih optimal, dan waktu yang diperlukan untuk menyusun serta mengevaluasi penyeleksian pelamar tersebut menjadi lebih efisien.High quality of the resources is necessary to increase labor productivity of the company, the resource that has the expertise and competency will be able to improve service over the maximum. For that service selection process will be more professional it is necessary to build a decision support system to assist in the selection of employees at PDAM Tirta Dharma Tegal. The method used is a method of SAW (Simple Additive weighting). This method was chosen because it can determine the weight values for each attribute, followed by the ranking process that will select the best alternative from a number of alternatives, in this case the alternative in question is entitled to be accepted as a new employee based on criteria specified. The criteria used for the selection process in this research include written test, Psychological, Education, GPA and interview. The results of the study a decision support system design as a tool for management decision making, besides the selection process for this employee can also be done with a more optimal, and the time needed to develop and evaluate screening of applicants has become more efficient.
Perancangan Data Warehouse pada Laporan PDPT di Kopertis Wilayah V
Authors: Kumoro Sukarsono Windu , Rosidi Abidarin , Amborowati Armadyah
Published: February 2018

Evaluasi terhadap Program Studi pada Perguruan Tinggi Swasta (PTS) yang memperoleh Ijin Penyelenggaraan dari Dirjen Dikti dibutuhkan oleh Koordinator Kopertis Wilayah V. Laporan PDPT telah terkumpul sejak tahun akademik 2002 semester ganjil (2002-1) sampai dengan tahun akademik 2013 semester genap (2013-2) yang terdiri dari data transaksi yang terkait dengan proses belajar mengajar di PTS. Laporan PDPT dari PTS dikerjakan atas dasar “Culture Trust”. Untuk mengatasi permasalahan tersebut dibangun sebuah data warehouse di Kopertis Wilayah V DIY. Data warehouse ini dikembangkan dengan menggunakan Foxpro dan Clipper dikarenakan data yang dilaporkan menggunakan file berekstendi DBF. Foxpro dan Clipper adalah sebuah paket basisdata dan dapat didistribusikan.Dalam pengerjaan pembangunan data warehouse ini akan melalui proses ETL dan pembuatan Star Schema (Skema Bintang) berupa dimensi-dimensi yang terhubung dengan tabel fakta berupa tabel aktifitas perkuliahan mahasiswa, evaluasi program studi dan aktifitas dosen mengajar di seluruh program studi pada PTS yang menjadi binaan Kopertis Wilayah V. Kemudian hasil data warehouse akan dianalisa melalui proses OLAP (On-line Analytical Processing).The evaluation of the Program on Private Higher Education (PTS) which derive from the Operating Licence required by the Coordinator General of Higher Education Kopertis Region V. PDPT reports have been collected since 2002 semester of the academic year (2002-1) until the second semester of academic year 2013 (2013-2), which consists of transaction data associated with the teaching and learning process in the PTS. PDPT reports of PTS is done on the basis of "Culture Trust".To overcome these problems built a data warehouse in Kopertis Region V DIY. The data warehouse was developed using FoxPro and Clipper because the data reported using a DBF file extension. FoxPro and Clipper is a package database and can be distributed. In the execution of data warehouse development is going through the ETL process and the making of Star Schema (Star Schema) in the form of dimensions that are connected with the fact table in the form of table activity lecturing students, evaluation of courses and activities throughout the faculty teaching courses at private universities being built Kopertis region V. Then the results will be analyzed data warehouse through a process of OLAP (On-line Analytical Processing).
Pengenalan Citra Tanda Tangan Menggunakan Metode 2D-LDA dan Euclidean Distance
Authors: Pamungkas Danar Putra , Hariri Fajar Rohman
Published: February 2018

Kelemahan sistem manual dalam identifikasi tanda tangan adalah si pemeriksa tanda tangan harus teliti dalam melakukan pencocokan untuk menghindari kesalahan. Oleh karena itu untuk mengatasi kelemahan pencocokan tanda tangan secara manual, proses pencocokan tanda tangan perlu dilakukan secara otomastis dengan sistem komputer sehingga diharapkan mempermudah dalam identifikasi tanda tangan seseorang. Pada penelitian ini peneliti menggunakan metode 2DLDA dan Euclidean Distance untuk pengenalan tanda tangan dengan sistem komputer. Metode 2DLDA untuk ektraksi fitur citra tanda tangan dan metode Euclidean Distance untuk klasifikasi citra tanda tangan. Data citra tanda tangan yang digunakan berukuran 50x50, 100x100, 150x150, 200x200 dan 250x250 piksel. Hasil dari uji coba penelitian ini adalah akurasi pengenalan citra tanda tangan menggunakan metode 2DLDA mencapai 88% dan rata-rata akurasi 81%. Akurasi optimal pengenalan citra tanda tangan dengan metode 2DLDA terjadi pada penggunaan data citra berukuran 50x50 piksel dengan akurasi 88% dan kecepatan 0.20126 detik.The manual system in the identification of the examiner's signature is the signature must be meticulous in doing matching to avoid mistakes. Therefore, to overcome the disadvantages of signature matching manually, signature matching process needs to be done should automatically with a computer system that is expected to facilitate the identification of a person's signature. In this study, researchers used a method 2DLDA and Euclidean Distance to the introduction of a signature with a computer system. 2DLDA methods to extract image features the signature and Euclidean Distance method for image classification signature. The image data signature used measuring 50x50, 100x100, 150x150, 200x200 and 250x250 pixels. The results of this research trial is a signature image recognition accuracy using 2DLDA reaches 88% and an average accuracy of 81%. Optimum accuracy signature image recognition method 2DLDA occurs in the use of image data size of 50x50 pixels with 88% accuracy and speed 0.20126 seconds
Analisis Promosi Kenaikan Jabatan Berdasarkan Evaluasi Kinerja Pegawai
Authors: Tanti Lili
Published: February 2018

Sumber daya manusia di dalam suatu organisasi perusahaan merupakan hal yang sangat penting untuk mendukung kemajuan dan kualitas perusahaan dalam mencapai tujuan. Kenaikan jabatan merupakan suatu faktor yang sangat penting bagi perencanaan karir pegawai dan juga untuk meremajakan suatu posisi jabatan agar diduduki oleh seseorang yang mempunyai kriteria-kriteria yang cocok. Untuk itu perlu diterapkan salah satu metode didalam sistem pendukung Keputusan didalam memilih pegawai yang cocok sesuai dengan kriteria dilingkungan Universitas Potensi Utama yaitu aspek penilaian umum, aspek penguasaan bidang kerja dan aspek perilaku. Sehingga dengan penerapan metode profile matching didalam system pendukung keputusan dalam proses evaluasi kinerja pegawai diharapkan dapat menentukan urutan prioritas pegawai, yang digunakan untuk membantu pihak manajemen dalam membuat keputusan untuk promosi kenaikan jabatan pegawai yang dinilai berdasarkan evaluasi kinerja pegawai dengan profil jabatanHuman resources within an enterprise organization is very important to support the progress and quality of the company in achieving its objectives. Promotion is a very important factor for employee career planning and also to rejuvenate a job position that was occupied by someone who has the matching criteria. For it is necessary to apply one of the methods within the Decision Support system in choosing a suitable employee in accordance with the criteria of the environment of the University Main Potential namely general assessment aspects, aspects of the mastery of work and behavioral aspects. So with the application profile matching method in the decision support system in the employee performance evaluation process is expected to determine the priority order of employees, which is used to assist management in making decisions for the promotion of employee promotions were assessed based on performance evaluation of employees with occupational profiles.
Pemilihan Calon Penerima Bantuan Siswa Miskin Menggunakan Metode Analytical Hierarchy Process (AHP)
Authors: Mufizar Teuku , Anwar Dede Syahrul , Dewi Rustin Kania
Published: February 2018

Proses pemilihan calon penerima Bantuan Siswa Miskin (BSM) di SMPN 4 Ciamis masih banyak kelemahan diantaranya masih menggunakan proses manual dan penilaian yang bersifat subjektif. Untuk mengatasi hal tersebut maka dibangun sistem pendukung keputusan untuk menentukan penerima bantuan siswa miskin SMP Negeri 4 Ciamis menggunakan metode Analitical Hierarchy Process. Adapun kriteria yang ditetapkan oleh pihak sekolah diantaranya: Kepemilikan KPS (Kartu Perlindungan Sosial), Kepemilikan Orang Tua, Penghasilan Orang Tua, Tanggungan Orang Tua, Jarak Rumah, Kepribadian, Kehadiran, Nilai rapor semester, Prestasi Akademik, Prestasi Non Akademik, Pertimbanggan Lain. Dalam sistem pendukung keputusan ini didukung oleh suatu metode dalam pengambilan keputusan yaitu metode Analytical Hierarchy Process (AHP) yang dikonversikan kedalam bahasa pemrograman JAVA yang dapat menunjang dalam pengolahan data. Alat bantu pemodelan datanya menggunakan UML sedangkan teknik perancangan basisdata menggunakan Entity Relationship Diagram (ERD). Hasil akhir dari penelitian ini didapat bahwa sistem yang dibangun dapat membantu kerja Tim Penyeleksi BSM dalam melakukan proses penentuan penerima bantuan lebih tepat sasaran.The process of selecting candidates for Bantuan Siswa Miskin (BSM) in SMPN 4 Ciamis still many weaknesses which are still using manual processes and assessments are subjective. To solve it is built decision support system to determine the recipient BSM of SMPN 4 Ciamis using Analytical Hierarchy Process. The criteria include: Owners KPS Card, Ownership Parent, Income Parents, Dependent Parent, Distance House, personality, presence, Value report semesters, Achievement, Achievement Non-Academic, and Additional considerations. In a decision support system is supported by a decision-making method is the method of Analytical Hierarchy Process (AHP), which is converted into JAVA programming language that can support in data processing. Data modeling tools using UML while the technique of database design using Entity Relationship Diagram (ERD). The final results of this study found that a system can help a team of Selectors BSM in conducting the process of determining the recipient target more appropriate.