bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of Phosphorus Placement Methods and Rates on Sugarbeet Production under Strip Tillage in Southern Idaho
Authors: Tarkalson David D. , Bjorneberg Dave L.
Published: July 2016

The use of strip tillage in the sugarbeet production systems of the Pacific Northwest is increasing, and data is needed about options for P placement and application rates for those options. The effects of P application methods (surface and subsurface band) and application rates (0–205 lb/acre P2O5) were evaluated in 2009 and 2010 on sugarbeet grown under strip tillage at the USDA‐ARS Northwest Irrigation and Soils Research Laboratory, in Kimberly, ID. The soil at the study sites was a Portneuf silt loam (coarse‐silty mixed superactive, mesic Durixerollic Xeric Haplocalcids) that had low bicarbonate‐extractable P concentrations of 3.7 ppm in 2009 and 6.0 ppm in 2010. In general, yields did not differ between the application methods for P fertilizer application; however, yields increased as the P rate increased and were not maximum even at the highest application rate in this study (>205 lb/acre P2O5). Across all treatments and years, the harvested roots removed an average equivalent of 14.3% of the applied fertilizer P, and the entire plant extracted an average equivalent of 22.8% of the applied fertilizer P. Regardless of the application methods used in this study, the results do not provide evidence that the current P fertilizer recommendations from the University of Idaho and the Amalgamated Sugar Company (TASCO) should be changed for strip tillage.
Authors: Jatmiko Wisnu , A. Krisnadhi A. , Mardian R. M. , Pambudi N. W.
Published: July 2016

Paper ini akan membahas tahap awal (prototipe) pengembangan jaringan komunikasi-robot multihop terdistribusi, yaitu suatu aplikasi yang diharapkan dapat dimanfaatkan pada lingkungan yang minim infrastruktur dan fasilitas komunikasi. Pada bagian awal paper disebutkan kondisi yang dapat menerapkan aplikasi jaringan komunikasi multihop ini, yaitu pada daerah bencana alam yang mengalami kerusakan sarana komunikasi, pada daerah terpencil karena faktor alam yang sulit untuk diadakan fasilitas komunikasi, ataupun daerah berbahaya untuk didatangi manusia ataupun kawasan konflik dan peperangan. Salah satu karakteristik yang diharapkan dari aplikasi ini adalah proses penyebaran informasi secara cepat dan mudah, bahkan walaupun tidak tersedia infrastruktur memadai sebelumnya. Selain itu, sistem ini bersifat terdistribusi sehingga diharapkan dapat memberikan beberapa keuntungan, baik saat diimplementasikan maupun kinerja di lapangan nantinya. Paper ini kemudian membahas pengembangan algoritma penyelesaian masalah, yang dilanjutkan dengan verifikasi dan analisis pada level simulasi perangkat lunak. Selanjutkan, algoritma ini diterapkan pada level simulasi perangkat keras dengan menggunakan modul robot Lego Mindstorm NXT. Untuk penyederhanaan masalah, pada tahap ini lingkungan yang digunakan masih bersifat statis dan terbatas sebagai salah satu asumsi.
Authors: Buono Agus , . Irmansyah
Published: July 2016

Pada paper ini, dilakukan pemilihan feature dari citra RGB (Red-Green-Blue) untuk memprediksi tingkat kemanisan buah belimbing yang dicirikan dengan kandungan TPT (Total Padat Terlarut). Dari feature terpilih, dilakukan transformasi komponen utama satu dimensi (1D-PCA) dan dua dimensi (2D-PCA) untuk mereduksi dimensi citra. Kemudian dilanjutkan dengan proses pengenalan tingkat kemanisan yang dalam paper ini dikelompokkan menjadi tiga, yaitu manis, sedang, dan asam. Nilai batas tiap kelompok didasarkan pada bentuk histogram nilai TPT. Dari 300 citra buah belimbing diperoleh hasil bahwa secara akurasi, teknik 1D-PCA maupun 2D-PCA memberikan hasil yang relatif sama. Namun dari segi kecepatan, 2D-PCA jauh lebih cepat dibanding 1D-PCA, khususnya pada bagian pembentukan sumbu. Model hubungan tingkat kemanisan sebagai fungsi dari nilai RGB memberikan tingkat determinasi terbesarnya 69.9%. Percobaan menunjukkan bahwa 1D-PCA maupun 2D-PCA mampu menerangkan sekitar 95% model hubungan tersebut yang dikembangkan pada ruang asal. Teknik PCA digabungkan dengan jarak Euclidean untuk pengenalan mampu mengenali buah kelompok manis dengan akurasi 100%. Sedangkan untuk kelompok asam dan sedang teknik yang dilakukan gagal melakukan pengenalan dengan baik
Authors: Sutedjo Aryuanto , Limpraptono F. Yudi , Yamada Koichi
Published: July 2016

Penelitian ini membahas teknik segmentasi warna berbasis RGB Chromaticity Diagram ternormalisasi, untuk ekstraksi simbol dan karakter pada citra rambu lalu lintas. Teknik yang diusulkan adalah memisahkan warna biru pada latar belakang rambu petunjuk lalu lintas. Hal tersebut dilakukan dengan memanfaatkan histogram yang dikembangkan pada diagram kromatisitas untuk penentuan nilai ambang segmentasi secara otomatis. Selain itu, teknik morfologi citra dan proyeksi histogram digunakan untuk ekstraksi simbol dan karakter. Dari hasil eksperimen diperoleh bahwa teknik yang diusulkan dapat mengekstrak simbol dan karakter dengan rata-rata ekstraksi 97.3%.

This research describes a normalized color segmentation technique based on RGB Chromaticity Diagram, for the extraction of symbols and characters in the image of the traffic signs. The proposed technique is to separate the blue color of the background traffic signs. This is done by using a histogram that was developed in the chromaticity diagram for the determination of the threshold value segmentation automatically. In addition, the image morphology technique and projection histogram are used for the extraction of symbols and characters. From the experimental results obtained that the proposed technique can extract symbols and characters with an average extraction is 97.3%.
Authors: Atmaja B.T. , Aisyah A. S. , Arifianto D.
Published: July 2016

Pemeliharaan kondisi mesin di industri membutuhkan kecepatan dan kemudahan, salah satu metodenya adalah dengan analisis getaran. Getaran mesin menyebabkan pola suara yang diemisikan mesin, di mana suara mesin satu bercampur dengan mesin lainnya. Blind Source Separation (BSS) merupakan teknik memisahkan sinyal campuran berdasarkan sifat kebebasan statistik antar sumber. Melalui simulasi dengan beberapa motor dan susunan mikrofon sebagai sensor, didapatkan data suara campuran dari beberapa motor yang terekam melalui tiap mikrofon. Intensitas sinyal yang diterima mikrofon berbeda satu sama lain, tergantung pada jarak dan sudut datangnya. Tujuan penelitian ini adalah untuk memisahkan sinyal campuran dari tiap mikrofon sehingga didapatkan sinyal estimasi sumber untuk mendeteksi kerusakan motor. Berdasarkan hasil penelitian, diperoleh pemisahan sinyal terbaik dalam Time-Domain ICA. Sinyal estimasi tersebut dianalisis untuk menentukan kondisi kerusakan mesin berdasarkan pola frekuensi sesaatnya.

Maintenance of engine conditionin the industry requires speed and convenience, one of the method is by vibration analysis. Machineâ€™s vibration causes the machine emitted sound pattern, in which an engine sound mixed with other machineâ€™s. Blind Source Separation (BSS) is a technique to separate mixed signals based on the statistical independence properties between the sources. Through simulation with several motors and the composition of the microphones as the sensor, noise mixture data obtained from some motors recorded by each microphone. The signal intensity received by microphone are different from each other, depending on the distance and angle of arrival. The purpose of this study is to separate the mixed signals from each microphone to obtain estimation of the signal source to detect the motor damage . Based on the research, obtained the best signal separation in the Time-Domain ICA. Signal estimation is analyzed to determine the condition of an engine failure patterns based on instantaneous frequency.
Authors: Amaliah Bilqis , Fatichah Chastine , Widyanto M. Rahmat
Published: July 2016

This research present asymmetry, border irregularity, color variation, and diameter (ABCD) feature extraction of image dermatoscopic for melanoma skin cancer diagnosis. ABCD feature is the important information based on morphology analysis of image dermatoscopic lesion. ABCD feature is used to calculate Total Dermatoscopic Value (TDV) for melanoma skin cancer diagnosis. Asymmetry feature consist information of asymmetry and lengthening index of the lesion. Border irregularity feature consist information of compactness index, fractal dimension, edge abruptness, and pigmentation transition from the lesion. Color homogeneity feature consist information of color homogeneity and the correlation between photometry and geometry of the lesion. Diameter extraction is diameter of the lesion. There are three diagnosis that is used on this research i.e. melanoma, suspicious, and benign skin lesion. The experiment uses 30 samples of image dermatoscopic lesion that is suspicious melanoma skin cancer. Based on the experiment, the accuracy of the system is 85% that there are four false diagnoses of 30 samples.

Penelitian ini menyajikan ekstraksi fitur citra dermatoskopik untuk diagnosis kanker kulit melanoma berdasarkan asymmetry, border irregularity, color variation, dan diameter (ABCD). Fitur ABCD adalah informasi yang penting berdasarkan analisis morfologi lesi citra dermatoskopik. Fitur tersebut digunakan dalam perhitungan Total Dermatoscopic Value (TDV) untuk diagnosis kanker kulit melanoma. Fitur asymmetry terdiri dari informasi asimetri dan indeks perpanjangan luka. Fitur border irregularity terdiri dari informasi indeks compactness, dimensi fraktal, edge abruptness, dan transisi pigmentasi dari lesi. Warna fitur homogenitas terdiri dari informasi homogenitas warna dan korelasi antara fotometri dan geometri lesi. Ekstraksi diameter adalah diameter lesi. Ada tiga diagnosa yang digunakan pada penelitian ini yaitu melanoma, diduga melanoma, dan benign skin lesion. Percobaan ini menggunakan 30 sampel dari lesi citra dermatoskopik kanker kulit melanoma yang mencurigakan. Berdasarkan percobaan, akurasi dari sistem ini adalah 85% dan terdapat empat diagnosa palsu dari 30 sampel.
Authors: Abdurohman Maman , . Kuspriyanto , Sutikno Sarwono , Sasongko Arif
Published: July 2016

Pemodelan adalah salah satu proses awal dalam pengembangan suatu aplikasi atau produk. Tahap ini dilakukan untuk meminimalkan kesalahan pada produk akhir. Salah satu metode pemodelan berorientasi objek yang banyak digunakan adalah pemodelan UML (Unified Modeling Language). Dalam UML suatu sistem dipandang sebagai kumpulan objek yang memiliki atribut dan method. SystemC adalah bahasa perancangan perangkat keras yang berbasis C++. SystemC merupakan sebuah library yang mendefinisikan tipe-tipe komponen perangkat keras. Dalam pemodelan bersama perangkat keras dan perangkat lunak, UML dan SystemC memiliki kemampuan yang sama. Pada paper ini dilakukan analisis proses transformasi dari pemodelan berorientasi objek dengan UML dan implementasi dengan menggunakan SystemC. Hasil penelitian menunjukan bahwa proses transformasi UML-SystemC dapat dilakukan karena keduanya memiliki nature yang sama sebagai lingkungan yang dapat merancang bersama hardware dan software. Perangkat yang digunakan untuk penelitian ini adalah Rational Rose dan SystemC.

Modeling is one of the first process in the development of an application or product. This phase is done to minimize errors in the final product. One method in object-oriented modeling that is widely used is UML (Unified Modeling Language). In UML a system is seen as a collection of objects that have attributes and methods. SystemC is a hardware design language based on C++. SystemC is a library that defines the types of hardware components. In a joint modeling of hardware and software, UML and SystemC have similar capabilities. In this paper, researchers analyzed the transformation of object-oriented modeling with UML and the implementation by using SystemC. The results shows that the transformation process of UML-SystemC can be done because both have the same nature as the environment that can design both hardware and software. The device used for this study is the Rational Rose and SystemC.
Authors: Purwarianti Ayu , Yusliani Novi
Published: July 2016

Fokus dari penelitian ini adalah untuk mengembangkan data dan sistem Question Answering (QA) Bahasa Indonesia untuk pertanyaan non-factoid. Penelitian ini merupakan penelitian QA non-factoid pertama untuk Bahasa Indonesia. Adapun sistem QA terdiri atas 3 komponen yaitu penganalisis pertanyaan, pengambil paragraf, dan pencari jawaban. Dalam komponen penganalisis pertanyaan, dengan asumsi bahwa pertanyaan yang diajukan merupakan pertanyaan sederhana, digunakan sistem yang berbasis aturan sederhana dengan mengandalkan kata pertanyaan yang digunakan (â€œapaâ€, â€œmengapaâ€, dan â€œbagaimanaâ€). Paragraf diperoleh dengan menggunakan pencarian kata kunci baik dengan menggunakan stemming ataupun tidak. Untuk pencari jawaban, jawaban diperoleh dengan menggunakan pola kata-kata khusus yang ditetapkan sebelumnya untuk setiap jenis pertanyaan. Dalam komponen pencari jawaban ini, diperoleh kesimpulan bahwa penggunaan kata kunci non-stemmed bersamaan dengan kata kunci hasil stemming memberikan nilai akurasi jawaban yang lebih baik, jika dibandingkan dengan penggunaan kata kunci non-stemmed saja atau kata kunci stem saja. Dengan menggunakan 90 pertanyaan yang dikumpulkan dari 10 orang Indonesia dan 61 dokumen sumber, diperoleh nilai MRR 0.7689, 0.5925, dan 0.5704 untuk tipe pertanyaan definisi, alasan, dan metode secara berurutan.

Focus of this research is to develop QA data and system in Bahasa Indonesia for non-factoid questions. This research is the first non-factoid QA for Bahasa Indonesia. QA system consists of three components: question analyzer, paragraph taker, and answer seeker. In the component of question analyzer, by assuming that the question posed is a simple question, we used a simple rule-based system by relying on the question word used (â€œwhatâ€, â€œwhyâ€, and â€œhowâ€). On the components of paragraph taker, the paragraph is obtained by using keyword, either by using stemming or not. For answer seeker, the answers obtained by using specific word patterns that previously defined for each type of question. In the component of answer seeker, the conclusion is the use of non-stemmed keywords in conjunction with the keyword stemming results give a better answer accuracy compared to non-use of the keyword or keywords are stemmed stem only. By using 90 questions, we collected from 10 people of Indonesia and the 61 source documents, obtained MRR values 0.7689, 0.5925, and 0.5704 for type definition question, reason, and methods respectively.
Authors: Widodo Agus , Budi Indra
Published: July 2016

Several methods have been proposed to combine the forecasting results into single forecast namely the simple averaging, weighted average on validation performance, or non-parametric combination schemas. These methods use fixed combination of individual forecast to get the final forecast result. In this paper, quite different approach is employed to select the forecasting methods, in which every point to forecast is calculated by using the best methods used by similar training dataset. Thus, the selected methods may differ at each point to forecast. The similarity measures used to compare the time series for testing and validation are Euclidean and Dynamic Time Warping (DTW), where each point to compare is weighted according to its recentness. The dataset used in the experiment is the time series data designated for NN3 Competition and time series generated from the frequency of USPTOâ€™s patents and PubMedâ€™s scientific publications on the field of health, namely on Apnea, Arrhythmia, and Sleep Stages. The experimental result shows that the weighted combination of methods selected based on the similarity between training and testing data may perform better compared to either the unweighted combination of methods selected based on the similarity measure or the fixed combination of best individual forecast.

Beberapa metode telah diajukan untuk menggabungkan beberapa hasil forecasting dalam single forecast yang diberi nama simple averaging, pemberian rata-rata dengan bobot pada tahap validasi kinerja, atau skema kombinasi non-parametrik. Metode ini menggunakan kombinasi tetap pada individual forecast untuk mendapatkan hasil final dari forecast. Dalam paper ini, pendekatan berbeda digunakan untuk memilih metode forecasting, di mana setiap titik dihitung dengan menggunakan metode terbaik yang digunakan oleh dataset pelatihan sejenis. Dengan demikian, metode yang dipilih dapat berbeda di setiap titik perkiraan. Similarity measure yang digunakan untuk membandingkan deret waktu untuk pengujian dan validasi adalah Euclidean dan Dynamic Time Warping (DTW), di mana setiap titik yang dibandingkan diberi bobot sesuai dengan keterbaruannya. Dataset yang digunakan dalam percobaan ini adalah data time series yang didesain untuk NN3 Competition dan data time series yang di-generate dari paten-paten USPTO dan publikasi ilmiah PubMed di bidang kesehatan, yaitu pada Apnea, Aritmia, dan Sleep Stages. Hasil percobaan menunjukkan bahwa pemberian kombinasi bobot dari metode yang dipilih berdasarkan kesamaan antara data pelatihan dan data pengujian, dapat menyajikan hasil yang lebih baik dibanding salah satu kombinasi metode unweighted yang dipilih berdasarkan similarity measure atau kombinasi tetap dari individual forecast terbaik.
Authors: Saadah Munjiah Nur , Atmagi Rigga Widar , Rahayu Dyah S. , Arifin Agus Zainal
Published: July 2016

Information retrieval of text document requires a method that is able to restore a number of documents that have high relevance according to the user's request. One important step in the process is a text representation of the weighting process. The use of LCS in Tf-Idf weighting adjustments considers the appearance of the same order of words between the query and the text in the document. There is a very long document but irrelevant cause weight produced is not able to represent the value relevance of documents. This research proposes the use of LCS which gives weight to the word order by considering long documents related to the average length of documents in the corpus. This method is able to return a text document effectively. Additional features of word order by normalizing the ratio of the overall length of the document to the documents in the corpus generate values of precision and recall as well as the method of Tasi et al.
Authors: Refianti Rina , Mutiara Achmad Benny
Published: July 2016

The rapid progress of computer science has been accompanied by a corresponding evolution of computation, from classical computation to quantum computation. As quantum computing is on its way to becoming an established discipline of computing science, much effort is being put into the development of new quantum algorithms. One of quantum algorithms is Grover's algorithm, which is used for searching an element in an unstructured list of N elements with quadratic speed-up over classical algorithms. In this work, Quantum Computer Language (QCL) is used to make a Grover's quantum search simulation in a classical computer document.
Authors: Ma'sum Muhammad Anwar , Imah Elly Matul , Gunawan Alexander Agung
Published: July 2016

Abstract

Heart disease is the number one deadly disease in Indonesia. One of the main causes of fatality is the late detection of the disease. To avoid escalation of mortality caused by heart disease, we need early detection and monitoring system of heart disease. Therefore, in this research we propose an early detection and monitoring system of heart disease based on ECG signal. The proposed system has three main components: ECG hardware, smartphone, and server. Since the proposed system is designed to classify heartbeat signal, heart disease symptom can be detected as early as possible. We use FLVQ-PSO algorithm to classify heartbeat signal. Experiment result shows that classification accuracy of the system can reach 91.63%. Moreover, the proposed system can be used to verify patients heartbeat by cardiologists from distant area (telehealth). Experiment result shows that responsiveness of the system for the telehealth system is less than 0.6 seconds.
Authors: Sari Jayanti Yusmah , Muchtar Mutmainnah , Zarkasi Mohammad , Arifin Agus Zainal
Published: July 2016

Abstract Curse of dimensionality is a major problem in most classification tasks. Feature transformation and feature selection as a feature reduction method can be applied to overcome this problem. Despite of its good performance, feature transformation is not easily interpretable because the physical meaning of the original features cannot be retrieved. On the other side, feature selection with its simple computational process is able to reduce unwanted features and visualize the data to facilitate data understanding. We propose a new feature selection method using similarity based entropy to overcome the high dimensional data problem. Using 6 datasets with high dimensional feature, we have computed the similarity between feature vector and class vector. Then we find the maximum similarity that can be used for calculating the entropy values of each feature. The selected features are features that having higher entropy than mean entropy of overall features. The fuzzy k-NN classifier was implemented to evaluate the selected features. The experiment result shows that proposed method is able to deal with high dimensional data problem with average accuracy of 80.5%.
Authors: Hani`ah Mamluatul , Aditya Christian Sri Kusuma , Harto Aryo , Arifin Agus Zainal
Published: July 2016

Research on biomedical image is a subject that attracted many researchersâ€™ interest. This is because the biomedical image could contain important information to help analyze a disease. One of the existing researches in his field uses dental panoramic radiographs image to detect osteoporosis. The analyzed area is the width of cortical bone. To analyze that area, however, we need to determine the width of the cortical bone. This requires proper segmentation on the dental panoramic radiographs image. This study proposed the integration of watershed and region merging method based on statistical features for cortical bone segmentation on dental panoramic radiographs. Watershed segmentation process was performed using gradient magnitude value from the input image. The watershed image that still has excess segmentation could be solved by region merging based on statistical features. Statistical features used in this study are mean, standard deviation, and variance. The similarity of adjacent regions is measured using weighted Euclidean distance from the statistical feature of the regions. Merging process was executed by incorporating the background regions as many as possible, while keeping the object regions from being merged. The segmentation result has succeeded in forming the contours of the cortical bone. The average value of accuracy is 93.211%, while the average value of sensitivity and specificity is 93.858% and respectively.
DYNAMICS BASED CONTROL OF A SKID STEERING MOBILE ROBOT
Authors: Elshazly Osama , Abbas Hossam , Zyada Zakarya
Published: July 2016

In this paper, development of a reduced order, augmented dynamics-drive model that combines both the dynamics and drive subsystems of the skid steering mobile robot (SSMR) is presented. A Linear Quadratic Regulator (LQR) control algorithm with feed-forward compensation of the disturbances part included in the reduced order augmented dynamics-drive model is designed. The proposed controller has many advantages such as its simplicity in terms of design and implementation in comparison with complex nonlinear control schemes that are usually designed for this system. Moreover, the good performance is also provided by the controller for the SSMR comparable with a nonlinear controller based on the inverse dynamics which depends on the availability of an accurate model describing the system. Simulation results illustrate the effectiveness and enhancement provided by the proposed controller.
DEVELOPMENT CUSTOMER KNOWLEDGE MANAGEMENT (CKM) MODELS IN PURBALINGGA HOSPITALITY USING SOFT SYSTEMS METHODOLOGY (SSM)
Authors: Chasanah Nur , Sensuse Dana Indra , Lusa Jonathan Sofian
Published: July 2016

Abstract Development of the tourism sector is part of the national development efforts that are being implemented in Indonesia. This research was conducted with the customer to make an overview of knowledge management models to address the existing problems in hospitality in the hospitality Purbalingga as supporting tourism Purbalingga. The model depicts a series of problem-solving activities that result in the hospitality, especially in Purbalingga. This research was action research with methods of Soft Systems Methodology (SSM) with validation using a theoretical approach, expert judgment and user on the object of research. From the research conducted, has produced a model of customer knowledge management in the hospitality tailored to the problems and needs of the hospitality in Purbalingga.
KAJIAN MODEL KESUKSESAN SISTEM INFORMASI DELONE & MCLEAN PADA PENGGUNA SISTEM INFORMASI AKUNTANSI ACCURATE DI KOTA SUKABUMI
Authors: Hudin Jamal Maulana , Riana Dwiza
Published: July 2016

Accurate accounting information system is one of accounting information systems used in the sixcompanies in the city of Sukabumi. DeLone and McLean information system success model is asuitable model to measure the success of the application of information systems in an organizationor company. This study will analyze factors that measure the success of DeLone & McLeaninformation systems model to the users of the Accurate accounting information systems in sixcompanies in the city of Sukabumi. The data collected from 37 respondents through surveys, is thenanalyzed using Partial Least Squares (PLS) available in SmartPLS 2.0 M3 software application.Results demonstrates that the quality of information and service quality does not have a significanteffect on the usage variable, while other variables have significant in measuring the success of theuse of Accurate accounting information systems to the value of R-squares for use 0.57, 0.94 for usersatisfaction and 0.94 for net benefit. And the value of goodness of fit (GoF) of 0.72 or 72%, so themodels are substantially enough to represent the research result.
SURVEI 2009: MUTU SITUS E-LEARNING SEKOLAH INDONESIA MASIH SANGAT MINIM
Authors: Suhartanto Heru
Published: July 2016

Di beberapa negara yang infrastruktur internet telah memadai, banyak sekolah yang telah memanfaatkannya sebagai salah satu faktor pendukung kesuksesan proses pembelajaran. Pemerintah Indonesia pun telah memulai teknologi ini guna memperluas akses sumber daya pembelajaran sehingga tak terbatas oleh waktu dan ruang. Makalah ini melaporkan hasil survei yang menggambarkan seberapa jauh sistem e-learning telah dipakai di sekolah Indonesia. Data hasil survei menunjukkan bahwa kualitas pemanfaatan situs e-learning masih kurang dan perlu mendapat perhatian dan dukungan dari semua pihak terkait. In some countries that have adequate internet infrastructure, many schools are already using it as one of the factors supporting the success of the learning process. The Indonesian government also has initiated this technology to expand the access to learning resources that is unlimited by time and space. This paper reports the results of the survey that describe the extent to which e-learning system has been used in Indonesian schools. Survey data indicate that the quality of utilization of e-learning is still lacking and need attention and support from all parties concerned.
PENGUKURAN TINGKAT DUKUNGAN TEKNOLOGI INFORMASI PADA DIREKTORAT TRANSFORMASI TEKNOLOGI KOMUNIKASI DAN INFORMASI, DIREKTORAT JENDERAL PAJAK DENGAN MENGGUNAKAN IT BALANCED SCORECARD
Authors: Hidayanto Achmad Nizar , Ahmadin Yudhiansyah , Jiwanggi Meganingrum Arista
Published: July 2016

Direktorat Transformasi Teknologi Komunikasi dan Informasi (Direktorat TTKI) mengemban tugas dalam mewujudkan rencana strategis Direktorat Jenderal Pajak melalui modernisasi information system (IS) atau information technology (IT) secara efisien dan optimal. Untuk menilai tingkat efisiensi dan optimalisasi penggunaan information technology (IT), diperlukan proses pengukuran secara berkesinambungan. Pada penelitian ini akan dilakukan pengukuran tingkat dukungan SI/TI pada Direktorat TTKI, sehingga Direktorat TTKI bisa memperbaiki hal-hal yang dianggap masih lemah. Instrumen yang digunakan adalah IT Balanced Scorecard yang dikembangkan oleh Grembergen berdasarkan konsep Balanced Scorecard. Selain itu, digunakan pula indikator yang diperoleh dari US Governance Accountability Office (US GAO). Indikator-indikator inilah yang kemudian dijadikan bahan untuk menilai tingkat dukungan IT yang dilakukan dengan menyebarkan kuesioner ke staff Direktorat TTKI. Berdasarkan hasil pengukuran IT Balanced Scorecard yang dilakukan didapatkan hasil bahwa tingkat dukungan IT pada Direktorat Transformasi Teknologi Komunikasi dan Informasi pada perspektif kontribusi perusahaan sebesar 49%, perspektif orientasi pengguna sebesar 66.3%, perspektif penyempurnaan organisasi sebesar 68.3%, dan perspektif orientasi masa depan sebesar 25.6%. Directorate of Communications and Information Technology Transformation took on the task in realizing the strategic plan of the Directorate General of Taxation through the modernization of IS / IT efficiently and optimally. To assess the efficiency and optimizing the use of IT, required continuous measurement process. In this study the level of support of IS / IT Directorate TTKI will be measured, so Directorate TTKI can fix things that were deemed to be weak. The instrument used is the IT Balanced Scorecard, developed by Grembergen based on the concept of Balanced Scorecard. In addition, the indicators used are obtained from the U.S. Governance Accountability Office (U.S. GAO). These indicators are then used as material to assess the level of IT support is done by distributing questionnaires to the staff of the Directorate TTKI. Based on the IT Balanced Scorecard measurements, showed that the level of IT support to the Directorate of Communications and Information Technology Transformation at perspective on the company's contribution is 49%, user-oriented perspective is 66.3%, organization's improvement perspective is 68.3%, and the future-orientated perspective is 25.6%.
PENERAPAN SISTEM LISTRIK PLN PRABAYAR DENGAN PENGGUNAAN DAN PENGOPERASIAN KWH METER PRABAYAR SECARA IT DALAM E-PAYMENT SISTEM PULSA LISTRIK
Authors: Budianto Alfian , Saragih Hoga
Published: July 2016

Tujuan dari penelitian ini adalah membangun desain sistem pembayaran dan pengisian pulsa listrik prabayar secara online. Sistem listrik prabayar yang sedang berjalan masih menuai banyak permasalahan, misalnya saja sistem masih mengharuskan pelanggan listrik untuk membeli pulsa listrik secara offline dengan mendatangi outlet-outlet penjualan token listrik, ATM, ataupun melalui perantara pihak ketiga. Diharapkan sistem pembayaran dan pengisian pulsa listrik secara online dapat mengatasi permasalahan yang ada. Pelanggan dapat melakukan pengisian pulsa kapan saja secara online melalui website dan realtime. Metode analisis penelitian yang digunakan adalah analisis kuantitatif dan analisis kualitatif untuk mengukur respons pelanggan terhadap sistem listrik prabayar yang berjalan. Hasil dari implementasi sistem listrik prabayar secara online ini diharapkan dapat mendukung perusahaan PLN dalam mengembangkan perencanaan strategi teknologi informasi dan menghasilkan inovasi baru yang dapat menyelesaikan permasalahan pada sistem listrik prabayar sebelumya. Kesimpulan dari penelitian ini pembayaran dan pengisian pulsa listrik prabayar yang efektif dan efisien mempunyai pengaruh terhadap kepuasan dan kenyamanan pelanggan. The purpose of this study is to develop online payment and prepaid electrical pulse charging system design. Prepaid electricity system is running still reap the many problems, such systems still require electricity customers to purchase electric pulse went offline with token sales outlets, electrical, ATM, or through third party intermediaries and other problems. Hopefully, online payment and charging electric pulses system can overcome the existing problems. Subscribers can reload at anytime online through website and realtime. Research methods that is used for analysis is quantitative and qualitative analysis, to measure customer responsse toward electrical prepaid system that has been running. The results of the implementation of online prepaid electricity system is expected to support the company PLN in developing information technology strategic planning and new innovations that can solve problems in electrical systems prepaid before. The conclusion from this study and the payment of electricity prepaid reload the effective and efficient to have an influence on customer satisfaction and comfort.
IMPLEMENTATION USING SOCIAL MEDIA OPTIMIZATION (SMO) FOR INTERNET MARKETING ON RUMAHDANPROPERTI.COM
Authors: Chandra David , Saragih Hoga
Published: July 2016

Lately, social media like Facebook become one of the methods to do marketing of products and online services. Social Media Optimization (SMO) is a marketing method that is now being developed by many companies in the field of internet marketing. The purpose of this study is the implementation using social media optimization (SMO) on the rumahdanproperti.com website. Rumahdanproperti.com is the website which is the largest property advertising portal in Indonesia which focuses on online business. The research will implement the SMO method using Facebook as a means of product introductions and analyze the use of existing Facebook features in response to rumahdanproperti.com ads. The research method used quantitative analysis and software analysis to measure advertising response to the features used on rumahdanproperti.com facebook. In conducting the quantitative analysis, researcher used questionnaires to obtain data from respondents who are members of this rumahdanproperti.com Facebook. The result of this implementation of the SMO is expected to support companies in introducing their brands to the public. The conclusion of this research, feed and discussion feature on Facebook have an influence on response of rumahdanproperti.com ads. Akhir-akhir ini, media sosial seperti Facebook menjadi salah satu metode untuk melakukan pemasaran produk dan layanan online. Social Media Optimization (SMO) adalah sebuah metode pemasaran yang kini banyak dikembangkan oleh banyak perusahaan di bidang internet marketing. Tujuan dari penelitian ini adalah implementasi menggunakan SMO pada website rumahdanproperti.com. Rumahdanproperti.com adalah website yang menjadi portal iklan properti terbesar di Indonesia yang berfokus pada bisnis online. Penelitian ini akan menerapkan metode SMO menggunakan Facebook sebagai sarana pengenalan produk dan menganalisis penggunaan fitur Facebook yang ada dalam menanggapi iklan rumahdanproperti.com. Metode penelitian menggunakan analisis kuantitatif dan analisis perangkat lunak untuk mengukur respons iklan untuk fitur yang digunakan pada facebook rumahdanproperti.com. Dalam melakukan analisis kuantitatif, peneliti menggunakan kuesioner untuk mendapatkan data dari responden yang menjadi anggota facebook rumahdanproperti.com ini. Hasil dari pelaksanaan SMO diharapkan untuk mendukung perusahaan dalam memperkenalkan merek mereka kepada publik. Kesimpulan dari penelitian ini fitur, pakan dan diskusi di Facebook memiliki pengaruh pada respon iklan rumahdanproperti.com.
MODEL PENGUKURAN KONSTRUKS ADOPSI INOVASI E-LEARNING
Authors: Suarta I Made , Suwintana I Ketut
Published: July 2016

Pemanfaatan e-learning di Politeknik Negeri Bali masih relatif baru. Sebagai inovasi baru, adopsi e-learning rentan terhadap penolakan. Dibutuhkan adanya informasi dalam mengurangi ketidakpastian dari adopsi e-learning tersebut. Tujuan penelitian adalah: (1) mendeskripsikan faktor-faktor adopsi inovasi e-learning; dan (2) menguji model pengukuran adopsi inovasi e-learning. Penelitian dilaksanakan menggunakan pendekatan kuantitatif dengan metode survei. Jumlah sampel sebanyak 130, dipilih dari staf pengajar yang pernah mengikuti pelatihan e-learning disetiap program studi di Politeknik Negeri Bali. Tingkat partisipasi responden (respons rate) mencapai 86,9%. Data dianalisis secara deskriptif kuantitatif dan analisis faktor konfirmatori. Adopsi inovasi e-learning dijelaskan oleh lima karakteristik yaitu keunggulan relatif, kompatibilitas, kompleksitas, trialability, dan observability. Faktor keunggulan relatif mempunyai rerata tertinggi (3,92), yang kemudian berturut-turut diikuti oleh trialability, observability, kompatibilitas, serta faktor kompleksitas mempunyai rerata terendah (2,99). Berdasarkan nilai muatan faktor serta reliabilitas konstruk ditemukan bahwa variabel-variabel yang diamati mampu menjelaskan faktor-faktor yang menjadi karakteristik adopsi e-learning. Dengan demikian kelima karakteristik e-learning dinyatakan valid sebagai model pengukuran adopsi inovasi e-learning. dengan nilai p=0,00224 dan RMSEA=0,060.
PENGARUH INTENSI PELANGGAN DALAM BERBELANJA ONLINE KEMBALI MELALUI MEDIA TEKNOLOGI INFORMASI FORUM JUAL BELI (FJB) KASKUS
Authors: Saragih Hoga , Ramdhany Rizky
Published: July 2016

Pesatnya perkembangan Teknologi Informasi dan Komunikasi telah memicu lahirnya berbagai kecenderungan dalam kehidupan sehari-hari seperti kegiatan e-commerce yang saat ini telah merambah ke berbagai elemen masyarakat. Kegiatan belanja online telah tumbuh secara signifikan seiring dengan meningkatnya orang niat untuk melakukan pembelian dan aktivitas jual secara online. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh persepsi harga, kepuasan pelanggan dan kepercayaan pelanggan pada orang keinginan untuk kembali berbelanja online, data penelitian ini berasal dari penyebaran kuesioner kepada 100 responden yang telah berbelanja di FJB Kaskus. Analisis yang digunakan dalam penelitian ini adalah untuk melakukan pengujian hipotesis menggunakan uji validitas, uji reliabilitas dan uji regresi. Dari serangkaian uji statistik disimpulkan bahwa tidak ada pengaruh yang signifikan dari persepsi harga terhadap niat pelanggan untuk kembali belanja online. Sementara kepuasan pelanggan dan kepercayaan adalah faktor-faktor yang mempengaruhi niat pelanggan untuk kembali belanja online. Temuan penelitian ini menunjukkan bahwa kepuasan pelanggan secara keseluruhan memiliki pengaruh yang lebih kuat pada keinginan untuk kembali belanja online daripada kepercayaan dan persepsi harga.
PENGARUH KEMATANGAN, KINERJA DAN PEMANFAATAN TEKNOLOGI INFORMASI TERHADAP IMPLEMENTASI SI DI SMK NEGERI JAKARTA TIMUR DENGAN MODEL COBIT FRAMEWORK
Authors: Priatna Wowon
Published: July 2016

Penelitian ini bertujuan untuk memperoleh pemahaman tentang tingkat kematangan ada atau tidaknya pengaruh teknologi informasi, kinerja dan pemanfaatan Teknologi Informasi Implementasi Sistem Informasi di Sekolah Menengah Kejuruan Negeri di Jakarta Timur pada manajemen dan penggunaan Teknologi Informasi. Kuesioner dibagikan kepada para guru dan karyawan responden berdasarkan indikator diambil dari variabel kematangan teknologi informasi, kinerja dan pemanfaatan teknologi informasi dengan Domain COBIT 4. Metode dalam penelitian ini adalah teknik pengumpulan data, metode analisis data, metode analisis faktor. Pengolahan data menggunakan SPSS untuk menguji reliabilitas, uji validasi dan analisis faktor untuk mengurangi variabel yang ada yang pada akhirnya akan menghasilkan faktor baru. Hasil penelitian menunjukkan bahwa 5 faktor baru yaitu ketersediaan tata kelola TI, ketersediaan pengelolaan keamanan, peningkatan kualitas sistem, peningkatan kualitas sistem informasi, pengelolaan kesiapan kinerja TI. Kesimpulan dari penelitian ini adalah terciptanya model dari 5 faktor yang memiliki pengaruh signifikan terhadap pelaksanaan Sistem Informasi.
DESIGN OF MOBILE EXPERT SYSTEM FOR DIABETES RISK DIAGNOSIS AND INFORMATION
Authors: Pratama Anindito Yoga , R. Dewi Agushinta , Senjaya Remi
Published: July 2016

Along with the development of information technology, mobile applications are widely applied to various fields. The use of mobile applications is considered effective to help user in understanding the problem. One example of the application of mobile applications needed today is an application that can help to determine a wide range of health. The designs discussed in this paper are the structure of the navigation and layout design of mobile applications created. There is a navigation structure and eight layout designs such as splash screen page, main menu page, diabetes risk test page, result page, diabetes prevention info page, food information page, list of hospitals page, and help page. The purpose of this paper is to design of mobile application for diabetes risk diagnosis and information based on android.
SCHEDULING AND POWER DISTRIBUTION SYSTEM ON DIESEL POWER PLANT IN NORTH SULAWESI USING GENETIC ALGORITHM
Authors: Sundah Josephin
Published: July 2016

Research regarding scheduling and power distribution system on diesel power plant in North Sulawesi using genetic algorithm has been done. This research was conducted to provide a new approach for scheduling and power distribution in North Sulawesi. Method of genetic algorithm is used in this study to address the problem of scheduling and distribution system of diesel power plant. Method of genetic algorithms is a heuristic search algorithm that mimics the mechanisms of biological system. Under this concept, the problem will be solved using the pattern of biological evolution. Solutions for solving problems will apply the method of selection, crossover, and mutation. Scheduling using genetic algorithm can optimize the scheduling done by by PT. PLN North Sulawesi, Minahasa System AP2B. Based on the results and the discussion it can be concluded that the genetic algorithm can be used as an efficient method for scheduling and power distribution system on the diesel power plants in North Sulawesi.
PENERAPAN METODOLOGI TOZER DALAM PERENCANAAN STRATEGIS SI/TI PADA SEKOLAH TINGGI TEKNIK MUSI
Authors: Wijaya Andri , Aliyanto Arif
Published: July 2016

At the present time, each organization is required to have differentiation and innovation in order to increase competitiveness against its competitors and increase profit organization. Higher education is a business organization engaged in services can not be separated from the reach of globalization, competition and the use of information systems and information technology ( IS / IT ) in the business process. Sekolah Tinggi Teknik Musi (STT Musi) is an educational institution in the city of Palembang are already using the IS / IT in its operations, but to do the planning and management of IS / IT is aligned with business strategy and vision is still not optimum. Therefore, to optimize the use of IS / IT is right that supports the business strategy and vision and also to improve the business strategy in the future in line with the vision and mission planning needed SI / IT is mature. Therefore this study will result in a strategic planning model of IS / IT in accordance with the business strategy and vision of the STT Musi. This plan will use the methodology proposed by Tozer and the expected results of this study will address the needs of strategic planning model SI / IT from STT Musi which has been much needed in the face of a very high level of competition at this time with the achievement of measurable results and comprehensive.
Persons with disabilities in institutions as victims of discrimination and human rights violations
Authors: Janjic Biljana , Beker Kosana
Published: July 2016

The paper describes the position of persons with disabilities in residential
institutions in Serbia, with particular focus on the position of women. Our
goal is to determine some of the reasons for human rights violations and
discrimination against persons with disabilities in institutions through
understanding the historical context and attitudes towards them, and to
understand the extent to which international human rights framework impacts
the improvement of their position. Results of analyses show that adoption of
the international and national legal framework grounded in the theory of
social model is a necessary but not sufficient condition for de facto
equality, because of the rooted negative attitudes towards rights,
possibilities, and needs of persons with disabilities that nurture
justifications and excuses for multiple deprivations and discrimination. The
change of the paradigm and improvement of the position of persons with
disabilities requires awareness-raising of the social protection system with
the aim of overcoming prejudices and changing practices.
Influence of sexually transmitted infections in a horse breeding
Authors: Kosec Marjan , Sterbenc Natasa , Mrkun Janko , Klobucar Igor , Klinc Primoz
Published: July 2016

The most frequent problems in horses reproduction are generally divided into
those of infectious and non infectious etiology. Common causes of infectious
diseases are usual?ly viruses and bacteria, and less frequently protozoa,
mykoplasma and fungi. In this work there are presented the most important
fact about sexually transmitted diseases, their clinical picture, risk
factors, preventive measures as well as measures to prevent and eradicate the
diseases. The biggest risk factor for sexually transmitted diseases in horses
are breeding stallions, both in natural mating and in artificial
insemination. Therefore, in order to prevent genital infections in horses, it
is essential that the stallions used for breeding are healthy (non-infected).
That can be determined with certainty only if the stallions are examined
(tested) just before the breeding season on most frequent sexually
transmitted diseases (CEM,EAV). It is well known that in most cases the
clinical picture of sexually transmitted diseses is not manifested on
genitals. As well, variations in clinical picture can be expected also in
mares, depending on the stage of the disease and its etiology. Harms arising
from sexually transmitted diseases can be divided into direct and indirect.
Direct damage occurs in the form of endometritis, miscarriage, stillbirths
and births of weak foals, and indirect in restricting the traffic of infected
and suspicios animals, isolation of the infected ones as well as medical
treatment and interrupting mating.
Investigating Inspection Risk: An Analysis of PCAOB Inspections and Internal Quality Reviews
Authors: Stefaniak Chad M. , Houston Richard W. , Brandon Duane M.
Published: July 2016

We report the results of an experiment that examines how the salience of post-audit reviews (PARs; i.e., U.S. Public Company Accounting Oversight Board [PCAOB] inspections and public accounting firms' internal quality reviews [IQRs]) affects auditors' perceptions of inspection risk (i.e., the risk that an auditor or audit firm will suffer harm as a result of a PAR), as well as audit effort and fees. Using large-firm, high-level auditors as participants, we find that PAR salience (i.e., anticipation of a PAR) yields higher perceived overall engagement risk assessments, even after controlling for traditional audit risk factors, consistent with auditors viewing inspection risk as incremental to these risk factors. Further, we find that auditors respond to PAR salience by increasing both audit effort and fees—with higher perceived engagement risk and greater audit effort for PCAOB inspections than IQRs. Finally, we observe that increases in audit fees are fully explained by effort.