bluuebunny/crossref_metadata_2025_split huggingface dataset:
El empleo manufacturero en México, 1970-2013: un análisis espacial desde el enfoque de la NEK
Authors: Brito Cruz Luis , Mejía Reyes Pablo 
Published: June 2020

En esta investigación se analiza la evolución del empleo manufacturero en México entre 1970 y 2013, mediante panel de datos espaciales, con el objetivo de identificar efectos de interacción espacial a nivel de estados. Además, bajo el enfoque de la Nueva Economía Keynesiana se asume que el empleo de esa industria se correlaciona positivamente con la producción bruta total y, de manera negativa, con lossalarios reales y la productividad total factorial. Se halló evidencia de efectos de desbordamientos y tasas de retroalimentación espacial que indican procesos intrarregionales de reforzamiento circular y acumulativo que favorecen la generación de empleo.
Beyond scandal? Blockchain technologies and the fragile legitimacy of post-2008 finance
Authors: Campbell-Verduyn Malcolm , Hütten Moritz 
Published: June 2020

AbstractHow do applications of emergent technologies contribute to the social legitimacy of finance? To address this question, we examine a set of technologies that have received increasing industry, media, and scholarly attention over the past decade: blockchains. Harnessing the concepts of ‘moral economy’ and ‘scandal’, we identify both possibilities and limits for blockchain applications to legitimate a range of monetary and investment activities. However, we also find that a persistent individualisation of responsibility for failures and shortcomings with ‘live’ blockchain experimentation has undermined the potentially legitimating aspects of this technology. Combining a reliance on technological fixes with a persistent individualist moral economy, we conclude, works against efforts to confront head-on the tensions underpinning the on-going legitimacy crises facing finance.
Financialisation and the limits of circuit theory
Authors: Lysandrou Photis 
Published: June 2020

AbstractThe theory of the monetary circuit aims to provide a highly stylised account of the workings of a modern monetary production economy. While there may have been a time when it succeeded in this aim, that time is over. The key development in the monetary sphere of capitalism over recent decades is the advent of financialisation, a phenomenon that circuit theory cannot explain other than by omitting some of its most important characterising features while indiscriminately dismissing those features that it does address as dysfunctional outgrowths. The fact is that a theory that has the aggregate monetary circuit as its methodological framework and whose sole focus is on the financing needs of firms is simply not flexible enough to accommodate the new reality of financialisation. To make that accommodation what is needed is a framework that is sufficiently elastic as to be able to encompass a broad range of socio-economic factors, most notably those associated with demographic change, as co-drivers of financialisaton. This article argues that a framework based on Marx's commodity principle meets this requirement.
Cutting the network? Facebook's Libra currency as a problem of organisation
Authors: Tischer Daniel 
Published: June 2020

AbstractThis essay explores the organisational character of Facebook's Libra currency by undertaking a critical reading of documents published by the Libra Association. Drawing on the conceptual work of Marilyn Strathern and Michel Serres, it illustrates how ownership cuts the network and encourages parasitism as a means of driving future profit. Central to this is the claim that Libra is not an exercise in democratising money, but rather, the opposite: Libra is run as a club, for the benefit of club members. The conceptual theme of ‘cutting’ is used to organise the argument. Rather than a cutting-edge technology, Libra's true innovation is organisational and consists in overturning the decentralised character of blockchain, such that distributed ledger technology is re-centralised by big tech firms. Outsiders are thus cut-off from Libra; only those inside the club have the right to participate in Libra and its governance. This position also affords members an exclusive capacity to take a cut of the profits generated through Libra. As a private organisation, members have sole rights to future profits generated from the Libra ecosystem and are in this way incentivised to create new product opportunities over time.
The Personalistic System of Healthcare in Indonesia: A Case Study
Authors: Mulyana Deddy 
Published: June 2020

The healthcare reality is composed of biomedical, naturalistic, and personalistic systems. Although the three healthcare systems go separately, to some extent they are overlapped. This study aims to explore alternative healing practices in Indonesia based on the personalistic system. The method used is a case study. Data was collected in several big cities (Bandung, Jakarta, Yogyakarta, Surabaya, Palembang, Batam and Makassar) in Indonesia through Focus Group Discussion (FGD) with stakeholders of healthcare programs on media, interviews with physicians, alternative therapists and patients, observation of alternative therapies, and media content analysis. The results indicate that the healthcare practices based on the personalistic system is widespread throughout Indonesia, including religious treatment (often called ruqyah) involving religious chants and prayers. With some using herbal medicine, a lot of alternative therapies based on the personalistic system have been promoted through word of mouth (interpersonal communication) by common people as patients as well as through the electronic media (especially television), and print media (especially newspapers) in many areas in the country.
Messages from the ‘Older Brother’: Djawa Baroe and the Japanese Propaganda in Indonesia (1943-1945)
Authors: Widjanarko Putut 
Published: June 2020

The Japanese occupation of East Asia during World War II was accompanied by its propaganda targeted to the local population. In Indonesia, the military government, among other things, published Djawa Baroe, a fortnightly magazine published from January 1, 1943 to August 1, 1945.Compared to other magazines, this bilingual magazine (in Japanese and Bahasa Indonesia) Djawa Baroe was unique: it featured ample photographs and illustrations. Qualitative content analysis method enables this study to find the meaning of a theme in its holistic political, social, and cultural contexts beyond the number of its occurrences in the text offered by quantitative content analysis. All the issues of Djawa Baroe are examined in detail and reiteratively. Six themes can be found in Djawa Baroe, i.e., the friendship between Japanese and Indonesians, the description of Japanese military prowess, the exaltation of nationalism and the preparation for the war, the evil nature of Western power, the role of women in society, and entertainment. The study concludes that along with the development of the Pacific War that turned against the Japanese, Djawa Baroe moved its emphasis on long-range goals at the high psychological level to influence and win the hearts and minds of Indonesian people, to a more immediate result and practical guide in facing the imminent war. On the other hand, against the original intention of the Japanese propaganda, Djawa Baroe may have helped its educated readers to imagine their future nation-state, Indonesia. Keywords: Djawa Baroe; Wartime propaganda; Japanese occupation; nation-building
Entre canteiros e ervas: um estudo da produção de ervas medicinais a partir de indicação do interesse do SUS- Sistema Único de Saúde
Authors: De Souza Gomes Thauana Paiva , Andretta Whitaker Dulce Consuelo , Botta Ferrante Vera Lúcia Silveira 
Published: June 2020

O presente trabalho é parte de estudos do doutorado que transformou a pesquisa em um produto material de ação social. O trabalho buscou o aprofundamento dos saberes, práticas de usos de ervas medicinais utilizados por mulheres assentadas do Monte Alegre comparada aos usos e indicações orientadas pelo SUS- Sistema Único de Saúde. Através de entrevistas e depoimentos com mulheres, bem como visita aos lotes, levantou-se um inventário da produção, formas de consumo, utilizações e os tipos de ervas produzidos por estas mulheres. No que se refere propriamente à fundamentação teórica buscou-se discutir questões relativas às orientações legais dos usos destas ervas no SUS em relação à prática das assentadas. Embora os usos ligados às ervas pelas mulheres estejam ligados aos hábitos tradicionais, é possível perceber, nas orientações legais, uma articulação entre o uso tradicional e o racional da área médica. Por fim, o trabalho buscou mostrar a relação entre saberes tradicionais e as orientações legais, evidenciando o importante papel da tradição para novas estudos e validação científica/ médica.
Evaluasi Heuristik Website berbasis Framework Sirius dengan Pengaturan Prioritas menggunakan Teknik Moscow
Authors: Marthasari Gita Indah , Hayatin Nur 
Published: June 2020

Kualitas merupakan faktor utama kesuksesan sebuah website. Salah satu karakteristik kualitas perangkat lunak menurut ISO 9126 adalah usabilitas. Pengukuran usabilitas sebuah website adalah hal yang penting mengingat sangat besarnya jumlah website saat ini. Salah satu metode yang dapat digunakan untuk mengevaluasi usabilitas website adalah framework Sirius. Sirius dapat menghasilkan nilai usabilitas global dan daftar elemen antarmuka sistem yang perlu diperbaiki. Namun, elemen-elemen ini belum diatur berdasarkan prioritas pengembang sistem dan hanya mempertimbangkan nilai peningkatan yaitu prosentasi perbaikan nilai usabilitas global jika elemen tersebut diperbaiki. Untuk itu dibutuhkan sebuah teknik untuk memprioritaskan elemen-elemen tersebut berdasarkan sudut pandang pengembang sistem sehingga sesuai dengan sumber daya yang dimiliki oleh pihak pengembang. Salah satu teknik yang dapat digunakan adalah Moscow. Moscow dapat mengelompokkan seluruh kebutuhan ke dalam 4 (empat) kelas berdasarkan tingkat prioritasnya. Penelitian ini melakukan modifikasi terhadap framework Sirius dengan menambahkan tahap perangkingan menggunakan teknik Moscow. Berdasarkan hasil pengujian, penambahan tahap pengaturan prioritas dengan Teknik Moscow memberikan urutan kriteria usability yang lebih baik dalam hal nilai bisnis, resiko, dan biaya pembangunan website. Setiap tim pengembang website yang dianalisis memberikan hasil pengaturan prioritas Moscow yang berbeda-beda. Bagi tim website Lective, kriteria usability paling penting adalah berkaitan dengan aspek labelling, sedangkan bagi pengembang website Seminar Indonesia, aspek paling penting adalah kelompok comprehensibility and ease of interaction. Adapun pengembang website Simkesmas lebih menekankan pada aspek control and feedback. AbstractQuality became the key element for website deployment. Based on the ISO 9126, one of the quality characteristics in software engineering is usability. The usability measurement on a website is an essential topic nowadays along with the incremental growth of it. One of the evaluation methods that can be used for analysing website usability is Sirius Framework. This method can produce global usability values and the list of a user interface element that should be modified. However, those elements have not been adjusted based on developer priority system which only considers the increased value of each element - the percentage of modified global usability value. Therefore, A technique called MoSCoW was introduced for prioritizing those elements from a developer point of views which corresponds to its available resource. MoSCoW can categorize all of the requirements into 4 distinct classes based on priority. This paper was performed for extending the Sirius Framework for implementing the ranking system by using MoSCoW. The experiment results showed that the MoSCoW method for priority adjustment process could produce better usability criteria on business, risk, and cost value during website development.
Implementasi Weighted Product untuk memberikan Rekomendasi Prospek Pelanggan bagi Sales Marketing Berdasarkan Web Analytics
Authors: Pradana Fajar , Bachtiar Fitra Abdurrachman , Al Ikhsan Mochammad Dearifaldi 
Published: June 2020

Keberhasilan sebuah perusahaan dalam memasarkan produk atau jasa yang ditawarkan sangat tergantung dari kinerja marketing. Kegiatan marketing saat ini berkembang tidak hanya dilakukan secara kovensional melalui tatap muka langsung dengan pelanggan. Salah satu pemasaran yang dilakukan pada perusahaan adalah dengan digital marketing. Digital marketing menggunakan Internet dan World Wide Web untuk mendekati pelanggan. Dalam mencapai tujuan ini, perusahaan harus mengadopsi Web analytics, yang didefinisikan sebagai pengukuran, pengumpulan, analisis dan pelaporan data Internet untuk tujuan memahami dan mengoptimalkan penggunaan Web. Dengan melakukan web analytics, marketing dapat mengenali calon pelanggan prospek yang sering mengakses website perusahaan. Tidak seperti kegiatan marketing konvensional, kegiatan mengenali pengunjung website menjadi kesulitan tersendiri. Pada penelitian ini akan dilakukan penggalian data lebih dalam untuk melihat perilaku dari pengunjung website dari sebuah perusahaan dengan menggunakan metode Weighted Product. Parameter yang dipertimbangkan antara lain: jumlah kunjungan (visit), durasi kunjungan (visit length), jumlah halaman yang dilihat (pageview), jumlah satu halaman yang dilihat pada satu kali kunjungan (bounce), kategori dari traffic source (medium), dan asal dari traffic (source). Berdasarkan proses perhitungan dan pengujian validasi maka didapatkan nilai kecocokan 100%. Sehingga dapat disimpulkan sistem rekomendasi memiliki tingkat akurasi yang tinggi. Abstract The success of a company in marketing the product or service offered is very dependent on marketing performance. Marketing activities currently developing are not only done conventionally through face-to-face contact with customers. One of the marketing activities done by companies is digital marketing. Digital marketing uses the Internet and the World Wide Web to approach customers. In achieving this goal, companies must adopt Web analytics, which is defined as "measurement, collection, analysis and reporting of Internet data for the purpose of understanding and optimizing Web use. By doing web analytics, marketing can recognize potential customers who often access the company's website. Unlike conventional marketing activities, the activity of recognizing website visitors becomes a particular difficulty. In this study deeper data will be extracted to see the behavior of website visitors from a company using the Weighted Product method. Parameters considered include: number of visits (visit length), number of visits (pageview), number of pages viewed at one visit (bounce), category of traffic source (medium), and origin from traffic (source). Based on the comparison of the results of the decision by applying the WP and the expert achieving a 100% match value. So it can be concluded that the recommendation system has a high level of accuracy.
Deteksi Dini Kanker Kulit menggunakan K-NN dan Convolutional Neural Network
Authors: Savera Teresia R. , Suryawan Winsya H. , Setiawan Agung Wahyu 
Published: June 2020

Kanker kulit adalah salah satu jenis kanker yang dapat menyebabkan kematian sehingga diperlukan sebuah aplikasi perangkat lunak yang dapat digunakan untuk membantu melakukan deteksi dini kanker kulit dengan mudah. Sehingga diharapkan deteksi dini kanker kulit dapat terdeteksi lebih cepat. Pada penelitian ini terdapat dua metode yang digunakan untuk melakukan deteksi dini kanker kulit yaitu deteksi dengan klasifikasi secara regresi dan artificial neural network dengan arsitektur convolutional neural network. Akurasi yang diperoleh dengan menggunakan klasifikasi secara regresi adalah sebesar 75%. Sementara, akurasi deteksi yang didapatkan dengan menggunakan convolutional neural network adalah sebesar 76%. Hasil yang diperoleh dari kedua metoda ini masih dapat ditingkatkan pada penelitian lanjutan, yaitu dengan cara melakukan prapengolahan pada set data citra yang digunakan. Sehingga set data yang digunakan memiliki tingkat pencahayaan, sudut (pengambilan), serta ukuran citra yang sama. Apabila tersedia sumber daya komputasi yang besar, akan dilakukan penambahan jumlah citra yang digunakan, baik itu sebagai set data latih maupun uji. AbstractSkin cancer is one type of cancer that can cause death for many people. Because of this, an application is needed to easily detect skin cancer early that the cancer can be handled with more quickly. In this study there were two methods used to detect skin cancer, namely detection by regression classification and detection by classifying using artificial neural networks with network convolutional architecture. Detection with regression classification gives an accuracy of 75%. While detection using convolutional neural networks gives an accuracy of 76%. These proposed early detection systems can be improved to increase the accuracy. For further development, several image processing techniques will be applied, such as contrast enhancement and color equalization. For future works, if there is more computational resource, more images can be used as dataset and implement the deep learning algorithm to improve the accuracy.
Penentuan Jarak Karakter Pemain dengan Karakter Bukan Pemain yang Harus Mengikuti Pemain pada Pengembangan Game Simulasi Mitigasi Bencana Erupsi Gunung
Authors: Widowati Henny , Widhowati Rachma Putri , Puspitodjati Sulistyo , Pardede D.L. Crispina 
Published: June 2020

Game simulasi sering melibatkan karakter pemain (player character) dan karakter bukan pemain (non player character) (KBP/NPC), sebagaimana pada game simulasi mitigasi bencana erupsi gunung yang sedang dikembangkan. Salah satu bentuk interaksi antara karakter pemain dengan KBP adalah KBP harus mengikuti karakter pemain. Pemrograman agar KBP mengikuti pemain, perlu menentukan jarak sejauh apa sehingga KBP secara otomatis mengikuti pemain. Penentuan jarak antara karakter pemain dengan KBP menjadi bahasan dalam makalah ini. Jarak dihitung secara matematis menggunakan konsep pitagoras, dan dengan pertimbangan estetika visual. Salah satu unsur visual yang dipertimbangkan adalah bentuk, baik KBP maupun bentuk karakter pemain. Jarak yang merupakan hasil perhitungan digunakan sebagai batasan untuk menganimasi (menggerakkan) KBP mengikuti karakter pemain. Animasi KBP, yaitu karakter berupa sapi dan manusia mengikuti pemain adalah bagian dari pengembangan game simulasi mitigasi bencana erupsi gunung berapi. Pengujian dengan membuat karakter pemain dan collider yang ada pada KBP bertumbukan atau bersentuhan berhasil membuat KBP bisa mengikuti karakter pemain sesuai dengan jarak yang ditentukan, dan berhasil mencapai tujuan. AbstractSimulation games often involve player characters and non-player characters (NPC), as in the mountain eruption disaster mitigation simulation game developed. One form of interaction between player characters and NPC is that NPC must follow the player character. Programming so that NPC follows players requires determining the distance so that NPC automatically follows the player. Determination of the distance between player characters (players) and non-player character objects (NPC) is discussed in this paper. The distance is measured mathematically using the pythagorean concept and visual aesthetics consideration. One visual element considered is the shape, both NPC and the player's own shape. The resulting distance is used as boundary to animate (move) NPC following the player's character. NPC's animation: the character of cows and humans following players is part of the development of mitigation simulation games for volcanic eruptions. The test, by making the player character and the collider on the NPC collide, succeeded in making the NPC follows the player character according to the specified distance, and succeeded in achieving the goal.
Analisis Sentimen Maskapai Penerbangan Menggunakan Metode Naive Bayes dan Seleksi Fitur Information Gain
Authors: Negara Arif Bijaksana Putra , Muhardi Hafiz , Putri Indira Melinda 
Published: June 2020

<p class="Abstrak">Zaman sekarang tren masyarakat untuk memesan tiket pesawat sudah melalui situs-situs <em>booking</em> <em>online</em>. Pegipegi.com merupakan salah satu <em>website</em> yang menyediakan pemesanan tiket dan menyediakan fitur ulasan bagi pengunjung untuk menyampaikan opini. Pengunjung lain yang membaca ulasan-ulasan tersebut dapat memperoleh gambaran secara lebih objektif mengenai maskapai penerbangan. Ulasan pengguna yang terdapat pada website pegipegi.com saat ini sudah sangat banyak sehingga hal ini menyulitkan dan memakan waktu untuk membaca secara keseluruhan. Oleh karena itu dirancang analisis sentimen guna membantu mengklasifikasi ulasan kedalam kategori positif atau negatif sehingga dapat memberikan rekomendasi maskapai penerbangan berdasarkan jumlah kategori ulasan. Metode yang diterapkan untuk klasifikasi sentimen adalah Naïve Bayes dengan seleksi fitur <em>Information Gain</em>. Adapun tujuan dari penelitian ini adalah mengetahui pengaruh dari pemilihan fitur <em>Information Gain</em> terhadap akurasi klasifikasi dan membuktikan bahwa metode Naïve Bayes dengan <em>Information Gain</em> dapat digunakan untuk klasifikasi analisis sentimen. Hasil pengujian yang telah dilakukan menunjukkan bahwa nilai rata-rata akurasi, <em>precision</em>, <em>recall</em> setelah penambahan <em>Information Gain</em> menunjukkan hasil yang lebih baik sebesar 0,865 jika dibandingkan sebelum penambahan information gain yakni sebesar 0,81.</p><p class="Abstrak"> </p><p class="Abstrak"><em><strong>Abstract</strong></em></p><p class="Abstrak"><em><em>Nowadays people tend to order airplane tickets through online booking sites. Pegipegi.com is a website that provides ticket reservations and a review section for visitors to express their opinions. Other visitors who read the reviews can get a more objective picture of airlines. The user reviews contained on the pegipegi.com website are currently very large so this makes it difficult and time consuming to read in its entirety. Therefore sentiment analysis is designed to help classify reviews into positive or negative categories so that they can provide airline recommendations based on the number of review categories. The method applied for sentiment classification is Naïve Bayes with the Information Gain feature selection. The purpose of this study was to determine the effect of selecting the Information Gain feature on classification accuracy and prove that the Naïve Bayes method with Information Gain can be used for the classification of sentiment analysis. The results of the tests that have been done show that the average value of accuracy, precision, recall after adding Information Gain shows better results of 0.865 compared to the addition of information gain which is equal to 0.81</em>.</em></p>