bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of the cooling behaviour on mechanical properties of carbon fibre-reinforced thermoplastic/metal laminates
Authors: Zopp Camilo , Nestler Daisy , Buschner Nadine , Mende Carola , Mauersberger Sven , Tröltzsch Jürgen , Nendel Sebastian , Nendel Wolfgang , Kroll Lothar , Gehde Michael 
Published: August 2020

For several years, thermoplastic hybrid laminates form a new class in the field of material compounds. These laminates consist of fibre-reinforced plastic prepregs and metal layers in alternating order. Compared to conventional thermosetting multilayer composites, these laminates are suitable for large-scale production and can be manufactured with significantly reduced cycle times in the thermoforming process. In the framework of this contribution, the influence of the cooling rate of carbon fibre-reinforced thermoplastic composites and hybrid laminates was investigated with regard to crystallinity and the resulting mechanical properties. Polyamide 6 and thermoplastic polyurethane as matrix systems were examined, in particular.Additionally, the differential scanning calorimetry was used in order to investigate the influence of the cooling rate on the crystallisation behaviour. It could be determined that the cooling rate has a limited influence on the crystallisation of polyamide 6 and this influences the mechanical properties. Furthermore, a reliance of process parameters on the characteristics profile of composite materials and material compounds with thermoplastic polyurethane could be identified. Depending on process conditions, tensile, bending, and interlaminar shear properties fluctuate up to 20 % in fibre-reinforced laminates and up to 32 % in hybrid laminates. Moderate to fast cooling rates result in optimum mechanical characteristics of tensile properties in fibre-plastic-compounds. Fast to very fast cooling rates are advisable for bending and interlaminar shear properties. Highest tensile and bending characteristics are achieved in hybrid laminates by using fast to very fast cooling rates, while interlaminar shear properties tend to be highest in slow to moderate cooling rates.
Strategy and numerical modelling of a vehicle seat with a lightweight sandwich design for large-scale production
Authors: Ren Song , Schäfer Kay , Nestler Daisy , Krumm Dominik , Odenwald Stephan , Kroll Lothar , Fleischmann Marc 
Published: August 2020

A lightweight vehicle front seat with a sandwich structure, which consists of skin layers made of glass fibre-reinforced thermoplastic prepregs and a core consisting of a warp knitted spacer fabric filled with polyurethane foam, was developed. The strength test simulations of the seat structure were performed using a Finite Element Analysis approach. The results validate the new sandwich design of the vehicle seat with its adequate strength under a static load. With the innovative lightweight design, the mass of the seat was reduced up to 57 % in comparison to the reference seat from conventional mass production. In addition, a manufacturing process was advised for a large-scale production of the lightweight design within one workstation.
Design And Implementation of Document Similarity Search System For WEB-Based Medical Journal Management
Authors: Utomo Mardi Siswo , Winarko Edi 
Published: August 2020

Abstract— Document similarity can be used as a reference for other information searches similar. So as to reduce the time-re-appointment for information following a similar document. Document similarity search capability is usually implemented on the features 'related articles'.Similarity of documents can be measured with a cosine, with preprosesing conducted prior to the document that will be measured. The indexing process and the measurement takes a relatively long excecution time. Problems with a web-based application to conduct the process and measuring the similarity index is a limited execution time, so the processing index and similarity measure in web-based application needs its own programming techniques.Problems with a web-based application to conduct the process and measuring the similarity index is a limited execution time, so the processing index and similarity measure in web-based application needs its own programming techniques.The purpose of this research is to design and create a software that give capability for web-based database management system of medical journals in Indonesian language to find other documents similar to the current document in reading at the time.The results of this research is the mechanism autoreload javascript and session cookies and can break down the process and measurement index similaritas into several small sections, so the process can be performed on web-based applications and the number of relatively large documents.Results with the cosine similarity measure in the case of Indonesian-language medical journal “Media medika Indonesiana” has a fairly high accuracy of 90%. Keywords— document similarity, cosine measure, web-based application.
Deteksi Steganografi Berbasis Least Significant Bit (LSB) Dengan Menggunakan Analisis Statistik
Authors: Rokhman Nur , Maharanti Juwita 
Published: August 2020

Abstrak— Pada penelitian ini dicoba dideteksi penyisipan pesan pada sebuah citra yang dilakukan dengan teknik Least Significant Bit. Deteksi dilakukan dengan teknik Chi-square attack. Pada teknik ini dibandingkan distribusi frekuensi yang diharapkan secara teori dengan beberapa distribusi sampel yang diamati pada stego-image.Pada penelitian ini dilakukan steganalisis terhadap 10 macam citra yang disisipi dengan sebuah pesan yang berukuran 1kb, 2 kb dan 5 kb. Dicobakan juga 2 penyisipan berbeda, yakni dengan program Stegano dan StegoGraphyBMP.Dari percobaan yang dilakukan pada sepuluh stego-image dengan panjang pesan 1kb, 2kb, dan 5kb, Chi-square attack berhasil 80% mendeteksi pesan yang disisipkan pada sebuah citra dengan program Stegano dan berhasil 70% mendeteksi pesan yang disisipkan pada sebuah citra dengan program StegoGraphyBMP. Disamping itu diperoleh hasil bahwa ukuran pesan tidak berpengaruh pada proses steganalisis. Keywords— Steganalisis, Chi-square.
Fuzzy AHP Non-Additive Pada Keputusan Pendirian Klinik Bersalin Daerah
Authors: Awaluddin Awaluddin , Wardoyo Retantyo 
Published: August 2020

Abstrak— Tingginya jumlah kematian ibu dan anak menempatkan Indonesia di rangking teratas kawasan Asia Tenggara.Penelitian yang dilakukan untuk mengurangi jumlah angka kematian ibu dan anak yaitu penyedian sarana dalam hal ini klinik bersalin disuatu daerah, demi tercapainya Milenium Development Goals (MDGs) di tahun 2015.Pengumpulan data yang mendukung penelitian ini, yaitu melakukan konsultasi dengan kepala Dinas Kesehatan Sulawesi Selatan sehingga dihasilkan kriteria-kriteria terbaik dalam pendirian klinik bersalin. Kriteria-kriteria tersebut disusun berdasarkan studi literatur, observasi, dan wawacara.Selanjutnya kriteria tersebut diberi penilaian perbandingan berpasangan dengan AHP untuk mencari bobot prior dengan skala penilaian antara 1 – 9, sedangkan untuk mencari bobot informasional dan upper excepted value menggunakan TFN (Triangular Fuzzy Number).Hasil yang didapat dengan menggunakan Fuzzy AHP non-additive dalam pendirian klinik bersalin menunjukkan bahwa kriteria prevalensi, penduduk, kesakitan, petugas, dan sarana merupakan kriteria utama dalam pendirian klinik besalin. Metode Fuzzy AHP non-additive didalam penilaian tingkat konsistensi dilakukan pada setiap level struktur hirarki dan mampu mengakomodir ketidak konsistenan dalam penilaian.Kata Kunci— AHP(Analitycal Hierarchy Process), non-additive, TFN (Triangular Fuzzy Number), upper excepted value.
Sistem Pendukung Keputusan Klinis dengan Memanfaatkan Jaringan Syaraf Tiruan Untuk Mendeteksi Stadium Penderita Kanker Paru-Paru Jenis Karsinoma Bukan Sel Kecil
Authors: Kurniawan Rio , Hartati Sri 
Published: August 2020

Abstract-- Lung cancer is leading cause of death in the cancer group. In general, lung cancer has some symptoms, but at an early stage, symptoms are not perceived by the patient. As a result, when patients go to hospital, lung cancer has been diagnosed in middle or high stage. For early detection of lung cancer, necessary a decision support system based on computerized technology that can be utilized by doctor needed to detection lung cancer. The clinical decision support system will help to determine specific medical treatment. The clinical decision support system capable to know data input and produce output result by learning process. The learning process is part of process in artificial neural network (ANN). Many methods used in ANN as Backpropagation (BP)learning algorithm. BP used to produce output result in decision support system. Keywords-- lung cancer, stage, clinical decision support systems, neural network, multilayer perceptron, backpropagation algorithm
A New Approach of Fuzzy-Wavelet Method’s Implementation in Time Series Analysis
Authors: Hansun Seng , Subanar Subanar 
Published: August 2020

Abstract— Recently, many soft computing methods have been used and implemented in time series analysis. One of the methods is fuzzy hybrid model which has been designed and developed to improve the accuracy of time series prediction. Popoola has developed a fuzzy hybrid model which using wavelet transformation as a pre-processing tool, and commonly known as fuzzy-wavelet method. In this thesis, a new approach of fuzzy-wavelet method has been introduced. If in Popoola’s fuzzy-wavelet, a fuzzy inference system is built for each decomposition data, then on the new approach only two fuzzy inference systems will be needed. By that way, the computation needed in time series analysis can be pressed. The research is continued by making new software that can be used to analyze any given time series data based on the forecasting method applied. As a comparison there are three forecasting methods implemented on the software, i.e. fuzzy conventional method, Popoola’s fuzzy-wavelet, and the new approach of fuzzy-wavelet method. The software can be used in short-term forecasting (single-step forecast) and long-term forecasting. There are some limitation to the software, i.e. maximum data can be predicted is 300, maximum interval can be built is 7, and maximum transformation level can be used is 10. Furthermore, the accuracy and robustness of the proposed method will be compared to the other forecasting methods, so that can give us a brief description about the accuracy and robustness of the proposed method. Keywords— fuzzy, wavelet, time series, soft computing
Penerapan FCM dan TSK Untuk Penentuan Cluster Rawan Pangan di Kabupaten Cirebon
Authors: Harliana Harliana , SN Azhari 
Published: August 2020

AbstrakKetahanan pangan merupakan salah satu prasyarat dasar yang harus dimiliki dalam rangka mewujudkan kesejahteraan masyarakat. Namun, pada kenyataannya meskipun kabupaten Cirebon termasuk salah satu pensuplai beras wilayah Jawa Barat masih ada beberapa desa yang justru mengalami rawan pangan. Minimnya indikator yang digunakan oleh BKP5K Kabupaten Cirebon dalam menentukan status rawan pangan dan tahan pangan masih menjadi kendala dalam penganalisaan penyebab rawan pangan. Penelitian ini mencoba mengembangkan sebuah sistem yang dapat membantu BKP5K Kabupaten Cirebon untuk penentuan cluster rawan pangan dan tahan pangan serta macam rekomendasi bantuannya melalui parameter indikator ketahanan dan kerawanan pangan yang telah ditentukan. Sistem ini dibangun dengan menggunakan metode Fuzzy C-Means untuk mengelompokkan daerah rawan pangan dan tahan pangan serta metode Takagi Sugeno Kang sebagai rulebase dalam pemberian rekomendasi bantuannya. Setelah melakukan pengujian pada 6 kasus uji, aspek yang paling berpengaruh pada penentuan desa rawan pangan yaitu aspek ketersediaan pangan, aspek akses pangan dan penghidupan, serta aspek kesehatan dan gizi. Sedangkan jumlah penduduk dibawah garis kemiskinan, desa yang tidak memiliki akses penghubung yang memadai, jumlah RT tanpa akses listrik, jumlah areal tanam yang terkena puso, serta jumlah buruh baik buruh tani dan swasta merupakan 5 indikator yang memiliki pengaruh penting dalam penentuan daerah rawan pangan. Kata kunci— Fuzzy C-Means, Fuzzy Takagi Sugeno Kang, rawan pangan, cluster AbstractFood security is one of the basic prerequisites that must be reserved in order to realize the welfare of society. Although the district Cirebon is one supplier of rice areas of West Java, there are still some villages experiencing food insecurity. The lack of indicators used by BKP5K Cirebon in determining the food insecurity is still a constraint in analyzing the causes of food insecurity. This study seeks to develop a system that can help BKP5K Cirebon to determine cluster food insecurity and advice assistance through a variety of parameters have been determined.The system is built using the Fuzzy C-Means method to classify the food insecurity and food stand andalso Takagi Sugeno Kang method asrulebase in the provision of assistance and advice. After testing 6thtest cases, the most influential aspectare: aspect food availability,aspect accessfood and livelihood, and also aspects of health and nutrition. While the number of people below the poverty line, the village with no access to adequate, the number of RT without access to electricity, the number of areas puso, and the number of workers are5thindicators that have an important influence in the determination of food-insecure areas. Keywords— Fuzzy C-Means, Fuzzy Takagi Sugeno Kang, Food insecurity, Cluster
Analisis Forensik Jaringan Studi Kasus Serangan SQL Injection pada Server Universitas Gadjah Mada
Authors: Putri Resi Utami , Istiyanto Jazi Eko 
Published: August 2020

AbstrakForensik jaringan merupakan ilmu keamanan komputer berkaitan dengan investigasi untuk menemukan sumber serangan pada jaringan berdasarkan bukti log, mengidentifikasi, menganalisis serta merekonstruksi ulang kejadian tersebut. Penelitian forensik jaringan dilakukan di Pusat Pelayanan Teknologi Informasi dan Komunikasi (PPTIK) Universitas Gadjah Mada.Metode yang digunakan adalah model proses forensik (The Forensic Process Model) sebuah model proses investigasi forensik digital, yang terdiri dari tahap pengkoleksian, pemeriksaan, analisis dan pelaporan. Penelitian dilakukan selama lima bulan dengan mengambil data dari Intrusion Detection System (IDS) Snort. Beberapa file log digabungkan menjadi satu file log, lalu data dibersihkan agar sesuai untuk penelitian.Berdasarkan hasil penelitian yang telah dilakukan, terdapat 68 IP address yang melakukan tindakan illegal SQL Injection pada server www.ugm.ac.id. Kebanyakan penyerang menggunakan tools SQL Injection yaitu Havij dan SQLMap sebagai tool otomatis untuk memanfaatkan celah keamanan pada suatu website. Selain itu, ada yang menggunakan skrip Python yaitu berasal dari benua Eropa yaitu di Romania. Kata kunci—forensik jaringan, model proses forensik, SQL injection AbstractNetwork forensic is a computer security investigation to find the sources of the attacks on the network by examining log evidences, identifying, analyzing and reconstructing the incidents. This research has been conducted at The Center of Information System and Communication Service, Gadjah Mada University.The method that used was The Forensic Process Model, a model of the digital investigation process, consisted of collection, examination, analysis, and reporting. This research has been conducted over five months by retrieving data that was collected from Snort Intrusion Detection System (IDS). Some log files were retrieved and merged into a single log file, and then the data cleaned to fit for research.Based on the research, there are 68 IP address was that did illegal action, SQL injection, on server www.ugm.ac.id. Most of attackers using Havij and SQLmap (automated tools to exploit vulnerabilities on a website). Beside that, there was also Python script that was derived from the continent of Europe in Romania. Keywords— Network Forensics, The Forensic Process Models, SQL Injection
Klasifikasi Fase Retinopati Diabetes Menggunakan Backpropagation Neural Network
Authors: Yefrenes Dillak Rocky , Harjoko Agus 
Published: August 2020

AbstrakRetinopati diabetes (DR) merupakan salah satu komplikasi pada retina yang disebabkan oleh penyakit diabetes. Tingkat keparahan DR dibagi atas empat kelas yakni: normal, non-proliferative diabetic retinopathy (NPDR), proliferative diabetic retinopathy (PDR), dan macular edema (ME). Penelitian ini bertujuan mengembangkan suatu metode yang dapat digunakan untuk melakukan klasifikasi terhadap fase DR. Data yang digunakan sebanyak 97 citra yang fitur – fiturnya diekstrak menggunakan gray level cooccurence matrix (GLCM). Fitur ciri tersebut adalah maximum probability, correlation, contrast, energy, homogeneity, dan entropy. Fitur – fitur ini dilatih menggunakan jaringan syaraf tiruan backpropagation untuk dilakukan klasifikasi. Kinerja yang dihasilkan dari pendekatan ini adalah sensitivity 100%, specificity 100% dan accuracy 97.73% Kata kunci— fase retinopati diabetes, GLCM, backpropagation neural network Abstract Diabetic retinopathy (DR) is one of the complications on retina caused by diabetes. The aim of this studyis to develop a system that can be used for automatic mass screenings of diabetic retinopathy. Four classes are identified: normal retina, non-proliferative diabetic retinopathy (NPDR), proliferative diabetic retinopathy (PDR), and macular edema (ME). Ninenty-seven retinal fundus images in used in this study. Six different texture features such as maximum probability, correlation, contrast, energy, homogeneity, and entropy were extracted from the digital fundus images using gray level cooccurence matrix (GLCM). These features were fed into a backpropagation neural network classifier for automatic classification. The proposed approach is able to classify with sensitivity 100%, specificity 100% and accuracy 97.73% Keywords— diabetic retinopathy stages, GLCM, backpropagation neural network
Penerapan Bee Colony Optimization Algorithm untuk Penentuan Rute Terpendek (Studi Kasus : Objek Wisata Daerah Istimewa Yogyakarta)
Authors: Danuri Danuri , Prijodiprodjo Widodo 
Published: August 2020

AbstrakPencarian rute terpendek merupakan suatu permasalahan optimasi yang sering dijadikan studi kasus bagi penelitian. Jarak merupakan faktor yang paling menentukan dalam melakukan penelusuran jalur-jalur yang akan dilalui. Jalur dengan jarak terpendek akan dipilih sebagai jalur pilihan.Algoritma bee colony optimization digunakan dalam penelitian ini untuk menyelesaikan permasalah pencarian rute terpendek. Terdapat dua proses utama pada saat penelusuran jalur yaitu forward dan backward. Algoritma bee colony optimization bekerja pada proses forward. Nilai probabilitas suatu jalur dijadikan dasar pada proses transisi jalur kemudian durasi waggle dance dari tiap lebah yang berhasil menemukan posisi tujuan akan dijadikan rute pilihan.Hasil yang diperoleh dalam penelitian ini adalah algoritma bee colony optimization dapat digunakan untuk menemukan rute terpendek. Jumlah lebah yang dilepas sangat mempengaruhi dalam menemukan rute-rute yang bisa dilalui. Semakin banyak jumlah lebah yang dilepas semakin besar peluang ditemukannya rute terpendek. Kata kunci— Rute Terpendek, Algoritma Bee Colony Optimization. AbstractThe shortest path determination is an optimization problem which often used as a case study for research. Distance is the most defining factor in performing the search paths to be passed. Path with the shortest distance would be chosen as a path selection.Bee colony optimization algorithm used in this study to complete problems shortest path determination. There are two main process es during search path that is forward and backward. Bee colony optimization algorithm works on the process forward. The value probability of a path is base intransition process and the duration of waggle dance track of every bee who had found the position of the goal will be a preferred route.The results obtained in this study is the bee colony optimization algorithm can be used to find shortest path. The number of bees are released greatly affects in finding routes that can be passed. The more the number of bees that removed the greater the chances of finding the shortest path. Keyword— Shortest Path, Bee Colony Optimization Algorithm
Penyusunan Notasi Musik dengan Menggunakan Onset Detection pada Sinyal Audio
Authors: Suryarasmi Anindita , Pulungan Reza 
Published: August 2020

AbstrakNotasi musik merupakan dokumentasi tertulis dari sebuah lagu. Walaupun notasi musik telah umum digunakan, namun tidak semua orang yang berkecimpung di dalam dunia musik memahami bagaimana notasi musik dituliskan. Penelitian ini menawarkan penyusunan notasi music secara otomatis dengan mengimplementasikan metode onset detection. Hal mendasar yang harus diketahui dalam pembuatan notasi musik adalah durasi serta nada yang dimainkan. Dengan menggunakan mendeteksi onset dari data audio, jarak antar pukulan dapat diketahui. Dengan demikian maka durasi permainan pun bisa dihitung. Hasil dari pencarian durasi tersebut diolah kembali untuk menciptakan objek-objek note yang disusun dalam notasi musik. Sistem menghasilkan keluaran berupa file dengan format musicXML. Dengan format ini maka hasil keluaran sistem akan bersifat dinamis dan dapat diolah kembali dengan music editor yang mendukung format file tersebut.Hasil penelitian menunjukkan akurasi yang tinggi dalam pengenalan pola permainan yang berhubungan dengan durasi setiap note hingga mencapai 99.62%. Kata kunci— notasi musik, onset detection, musicXML AbstractMusical notation is written documentation of a music. Even though musical notation is commonly used, not every musician knows how to write a musical notation. This work offers automatic musical notation generation from audio signal using onset detection.Duration and pitch of the notes are two basic parameters that have to be known in order to generate music notation. This work implemented onset detection method to recognize the pattern by measuring the interval between two notes. Using the interval, the duration of each notes can be calculated and used to create note objects in order to arrange a musical notation. The output of the system is a musicXML formatted file. This format allowed the output to be edited using software for music editor. The result of this work shows high accuracy up to 99.62% for detecting each notes and measuring the duration. Keywords— musical notation, onset detection, musicXML