bluuebunny/crossref_metadata_2025 huggingface dataset:
Connecting the Dots: Integrating Cultural and Natural Resource Management in the United States
Authors: Heilen Michael , Altschul Jeffrey H.
Published: September 2020

Landholding agencies in the United States are under increasing pressure to integrate cultural and natural resource management approaches at a landscape level and to do so earlier and more comprehensively in planning processes. How to integrate management practices is poorly understood, however. An impediment to integration is that the laws, methods, and tools used in cultural and natural resource management differ significantly. Natural resource management protects or rehabilitates habitats and ecosystems that support endangered species, while cultural resource management focuses on identification and protection of individual sites. Agencies need to shift the focus from managing sites to defining cultural landscape elements and their relationship to natural resource management units and concerns. We suggest that agencies use archaeological predictive modeling, resource classes, and paleoenvironmental and cultural historical information to geospatially define cultural landscapes, predict resource distributions and values, and identify opportunities and protocols for collectively managing cultural and natural resources. As the United States faces increasing deregulation and limited preservation funding, we believe an integrated approach will be critical in preserving and protecting both cultural and natural heritage.
Heritage - public and expert discourse in the process of heritigization
Authors: Kajda Kornelia
Published: September 2020

The debate about “Who owns the past?” has been and still is the subject heated discussion in heritage studies. Deciding what should be protected and what needs special social and governmental attention triggers many questions which are often met with equivocal answers. This article concentrates on a phenomenon framed as heritagization in relevant scholarship. The first section is devoted to the situations in which experts notify the public about the importance of places and historical events. Four case-studies will be discussed. The first two will touch upon cultural and natural heritage sites (Jewish and German heritage in Poland and Rospuda Valley) and show how a group of experts can influence Polish society to build a positive atmosphere around neglected heritage in Poland. The next two case-studies (communist heritage in Poland and Białowieża Forest) present how the situation of conflict between experts and the public may influence the way in which heritage is understood by the society. The case studies will also show how the public renegotiates the meaning of heritage and designates what should be preserved.
Connecting natural and cultural heritage practices. Is integration always a good idea?
Authors: Schlaman Marjo J.
Published: September 2020

Integrated approaches in landscape management are often seen as the way forward to provide solutions for complex heritage problems that are related to policy, climate change, tourism, environmental planning and involving the public. This has led to a range of interdisciplinary and multidisciplinary projects aiming to add value to disciplinary approaches and gain new insights. Although interdisciplinarity is a promising research approach, there are many obstacles that may affect the quality of the project outcomes, slow down the overall organisation or create substantive errors.

This raises therefore the question: is integration always a good idea? In this paper, I will show the complexity of cultural-historical landscapes and examine interdisciplinary approaches for their value as framework for historical landscapes. The role of historical assessments methods in landscape design is discussed. Finally, the example of two historical gardens and the process of their restoration and conservation will demonstrate how interdisciplinary and disciplinary approaches are related to each other in the garden design process.
Predictive Modeling for Student Grade Prediction Using Machine Learning and Visual Analytics
Authors: Abdul Bujang Siti Dianah , Selamat Ali , Krejcar Ondrej
Published: September 2020

Data-driven plays an important role in determining the quality of services in institutions of higher learning (HEIs). Increasingly data in education is encouraging institutions to find ways to improve student academic performance. By using machine learning with visual analytics, data can be predicted based on valuable information and presented with interactive visualizations for institutions to improve decision making. Therefore, predicting students’ academic performance is critical to identifying students at risk of failing a course. In this paper, we propose two approaches, such as (i) a prediction model for predicting students’ final grade based on machine learning that interacts with computational models; (ii) visual analytics to visualize predictive models and insightful data for educators. The data were tested using student achievement records collected from one of the Malaysian Polytechnic databases. The data set used in this study involved 489 first semester students in Computer System Architecture (CSA) course from 2016 to 2019. The decision tree algorithms (J48), Random Tree (RT), Random Forest (RF), and REPTree) was used on the student data set to produce the best predictions of the model. Experimental results show that J48 returns the highest accuracy with 99.8 %, among other algorithms. The findings of this study can help educators predict student success or failure for a particular course at the end of the semester and help educators make informed decisions to improve student academic performance at Polytechnic Malaysia.
A CNN-Based Mosquito Classification Using Image Transformation of Wingbeat Features
Authors: Luna-Gonzalez Jose Alvaro , Robles-Camarillo Daniel , Nakano-Miyatake Mariko , Lanz-Mendoza Humberto , Perez-Meana Hector
Published: September 2020

In this paper, a classification of mosquito’s specie is performed using mosquito wingbeats samples obtained by optical sensor. Six world-wide representative species of mosquitos, which are Aedes aegypti, Aedes albopictus, Anopheles arabiensis, Anopheles gambiae and Culex pipiens, Culex quinquefasciatus, are considered for classification. A total of 60,000 samples are divided equally in each specie mentioned above. In total, 25 audio feature extraction algorithms are applied to extract 39 feature values per sample. Further, each audio feature is transformed to a color image, which shows audio features presenting by different pixel values. We used a fully connected neural networks for audio features and a convolutional neural network (CNN) for image dataset generated from audio features. The CNN-based classifier shows 90.75% accuracy, which outperforms the accuracy of 87.18% obtained by the first classifier using directly audio features.
Deep Classifier Model for Autism Spectrum Disorder Prediction
Authors: Mokni Raouia , Haoues Mariem
Published: September 2020

Autism Spectrum Disorder (ASD) is a neurological and developmental disorder that affects human communication and behavior. ASD is associated with significant healthcare costs for diagnosis as well as for treatment. Disease diagnosis using deep learning model has become a wide research area. This paper proposes a deep classifier model for ASD prediction. The evaluation of the proposed model is performed over three datasets involving child, adolescent, and adult provided by ASDTest database. The obtained results showed that deep classifier model provides better results than other common machine learning classification techniques, with an accuracy of 99.50%, 99.23% and 99.42% for respectively adult, adolescent, and child datasets. Practical experiments conducted over these datasets report encouraging performances which are competitive to other existing ASD prediction models.
Magnitude-Based Streamlines Seed Point Selection for 3D Flow Visualization
Authors: Yusoff Yusman Azimi , Mohamed Farhan , Jaafar Nor Azrini , Sunar Mohd Shahrizal , Selamat Ali
Published: September 2020

Seed point placement techniques have been introduced and improved flow visualization research domains since the beginning of the introduction of streamlines visualization. It is a starting point of the streamlines. Thus, it is crucial because the result is directly impacted by the seed point placement. Improved seed point placement has been presented with the objectives to generate uniform streamlines placement, to have longer streamlines, and to highlight important regions in the visualization result. These three objectives need to be balanced because there is a trade-off between them. Most of the available seed point placement techniques only focus on one objective and sacrifices the other two. In this paper, the Magnitude-Based Seed Point placement technique is improved to be used in 3D space. Experts review is conducted to evaluate the result as there is no proper quantitative evaluation method for 3D visualization results. Feedback from experts shows that the proposed technique provides a better result with the same streamlines count.
A Fuzzy MOP Based Competence Set Expansion Method for Technology Roadmap Definitions
Authors: Huang Chi-Yo , Lin Yen-Chu , Yang Chia-Li , Sun Yu , Cheng Jeng-Chieh , Kuo Ying-Ting , Wang Liang-Chieh , Wang Sing-Yan , Hsu Hao-En , Hsu Hao-Hsiu
Published: September 2020

Technology roadmaps have already been widely adopted as an important management tool during the past three decades after the invention of the management tool by Motorola in the 1980s. The technology road-mapping processes which can be integrated with firms’ competence sets are very important for strategy definitions. However, how the uncertainties being associated with the costs, time, quality, etc. for technology road mapping were seldom discussed, not to mention how various objectives can be considered at the same time. Thus, this research aims to propose a fuzzy multiple objective programming based competence set expansion technique to resolve the above mentioned technology road-mapping problem. An empirical study based on the road-mapping of novel compressors for air conditioners will be used to demonstrate the feasibility of the proposed framework. The well-verified analytic framework can serve as a basis for research and development (R&D) strategy definitions by practitioners.
Many-to-Many Symbolic Multi-Track Music Genre Transfer
Authors: Pezzat Michel , Perez-Meana Hector , Nakashika Toru , Nakano Mariko
Published: September 2020

This paper shows the feasibility of a variant of the Generative Adversarial Network (GAN), called Star GAN, for music genre transfer. This method is noteworthy in that it simultaneously learns many-to-many mappings across different attribute domains using a single generator network. A similar architecture to research in MuseGAN and CycleGAN is applied. Also, as in MGTGAN, Desert Camel MIDI dataset is use for training and testing.
A Fire Safety Engineering Simulation Model for Emergency Management in Airport Terminals Equipped with IoT and Augmented Reality Systems
Authors: Morra Emanuele , Revetria Roberto , Scaramozzino Domenica Loredana , Galli Gabriele
Published: September 2020

The present paper proposes an innovative system architecture for the safety management of passenger evacuation inside an Airport Terminal, in case of a big indoor fire. The basic idea, in addition to fire hazard pre-assessment, is that information from a fast-predictive simulation of the fire evolution, immediately after the fire starting, could help the airport safety management system in taking sudden decisions to manage very specific fire scenarios. The system is based on an advanced technological interconnection among a simulation model of Fire Safety Engineering, IoT safety and environmental sensors, specific Augmented Reality equipment, and a remote server, able to exchange data by Wi-Fi connections and to elaborate them on a software platform. The ultimate scope of this system is to equip rescuers and airport safety managers with added value AR tools, like AR smart-glasses or tablets, usable for supporting safety decisions and emergency interventions.
Gaussian Representations of K-Means Clusters: Case Study of Educational Process Mining of UCI
Authors: Ko Yu-Chien , Fujita Hamido
Published: September 2020

The information of data patterns can help determining analytical direction, choosing right tools for analysis, and validating inferential results. However, this argument might not be helpful because of diverse patterns. To disclose inside information, a learning approach about data clustering is proposed by integrating K-means and Gaussian representation from data science. It gets insight of similar and dominant distribution through iterative learning. Its core technique lies in the design of data representation which can carry similarity and dominance characteristics from samples to K-learning. For illustration, it is applied in the educational process mining of UCI. Its results can provide strategic information for educational activities.
SEED: A Framework for Stress Estimation Using Emotiv Devices
Authors: Pham Nhung , Nguyen Thuong , Tran Thinh , Nguyen Trung T. , Ha Huong , Nguyen Binh T.
Published: September 2020

Nowadays, industrialization and urbanization have led to increasing stress levels in many countries. Primarily, it starts having an impact on vulnerable populations, e.g., college students and physicians. While previous works have reported an alarmingly high rate of stress in students, little is known about whether there are stress-related brain activity changes. This study aims to examine the effects of a realistic stressor (examination) on students’ stress levels and brain activities. We selected a cohort of 16 college students to participate in this study. Each subject was invited to the laboratory twice (pre-exam and in-exam) for completing a package of questionnaires. At the same time, we measure their brain physiological activity by using a portable EEG recorder. Our data reveal that examination- induced stress is associated with changes in the activity of the occipital and parietal-temporal areas in the brain. We construct a machine learning framework to estimate each student’s stress level using features extracted from brain activities and a classification method. Finally, our study underlines the necessity of applying stress intervention to create an optimal learning environment for students.
Categorização da psicopatia: a interferência da inconsistência classificatória na aplicabilidade jurídica
Authors: Santos Rian Silva Carvalho , Brito Mario Henrique Cardoso
Published: September 2020

O presente trabalho relata os problemas de aplicações jurídicas advindos da complexa formulação teórico-médica sobre a psicopatia (ou transtorno da personalidade antissocial), tendo em vista as divergências nas características conceituais e de categorização deste distúrbio. Deste modo, este escrito se solidificou na nítida intenção de ser um trabalho explicativo com forte tendência classificatória, uma vez que há necessidade de maior agrupamento e catalogação do campo de estudo da psicopatia. Contudo, ressalta-se que, apesar de tal método traçar-se com forte relevo conceitual, não há fuga ao aprofundamento de tópicos relevantes, os quais tendenciosamente marcam as divisas do tema.
The Mediating Effects of Corporate Governance on the Relationship Between Opinion Audit and Audit Delay: A Study on Mining Companies Listed on IDX Period 2017 - 2018
Authors: Zendrato Sisobadodo , Hutabarat Francis
Published: September 2020

Penelitian ini dipilih karena memiliki urgensi dan tujuan tertentu yaitu untuk mengetahui bahwa adanya efek mediasi corporate governance pada hubungan antara opini audit terdapat pengaruh terhadap audit delay. Audit delay merupakan terlambatnya di publikasikan laporan keuangan tahunan yang telah selesai di periksa oleh orang auditor sehingga auditor memberikan pendapat atau opini yang dapat di publikasi. Pengujian yang dilakukan menggunakan langkah  pengambilan informasi dipakai ialah informasi dokumentasi yang diperoleh lewat situs antaralain www.idx.co.id. Pengujian yang dilaksanakan dengan cara mengamati laporan keuangan perusahaan pertambangan untuk mendapatkan data keseluruhan yang dibutuhkan dalam mengukur efek mediasi dari tata kelola perusahaan, opini audit dan delay suatu publikasi audit. Hasil uji penelitian yang sudah selesai dilaksanakan menunjukkan hasil statistic descriptive pada penelitian ini terkait karakteristik variable dalam penelitian. Terkait profitabilitas, didapati Audit Delay memiliki rata-rata 65.5 hari yang berada didalam masa 90 hari publikasi laporan audit perusahaan pada Bursa Efek Indonesia. Hal lain yang didapati adalah terkait variable independen, yaitu rata-rata nilai Opini Audit adalah 0.22 menandakan sebagian besar laporan audit memiliki pernyataan Qualified. Terkait tata kelola perusahaan pada proxy keseimbangan antara Dewan Komisaris Independen yang didapati bahwa /ukuran rata-rata PDKI adalah 35.89% yang berada diatas standard 30%. Dengan demikian hasil descriptive statistic menunjukkan secara rata-rata pelaksanaan audit delay, opinion audit dan corporate governance berada sesuai standard yang berlaku. Dengan hasil uji yang telah dilakukan juga, bahwa didapati tidak ada pengaruh Opini audit terhadap Audit delay sedangkan dengan adanya mediasi tata kelola atau disebut juga sebagai Corporate Governance terhadap Audit delay bahwa didapati pengaruh yang significant. Dengan demikian keberadaan Corporate Governance sepenuhnya memediasi pengaruh Audit Opinion terhadap Audit Delay. Penelitian ini memiliki tujuan yaitu untuk mengetahui efek mediasi dari tata kelola perusahaan pada hubungan antara audit opini dan delay audit pada usaha tambang yang termasuk golongan di BEI tahun 2017-2018. Pengujian ini memakai data sekunder berupa annual report atau laporan tahunan  dari usaha tambang yang terdaftar di BEI selama 2 tahun. Sampel sejumlah 9 perusahaan dari perusahaan tambang tercatat pada Bursa Efek pada orde 2017-2018. Sistem pemutusan contoh yang dipakai ialah Sampel Purposive.
The Effect of Sales Growth and Leverage on Tax Avoidance Empirical Study of Coal Sub-Sector Mining Companies Listed on the Indonesia Stock Exchange in 2014-2018
Authors: Nadya Bella , Purnamasari Dyah
Published: September 2020

This study aims to determine the influence of sales growth and leverage on tax avoidance on coal sub-sector mining companies listed on the IDX in 2014-2018. The data used were secondary data and the samples were financial statements from 10 coal sub-sector mining companies listed on the IDX in 2014-2018. The method of sample selection was purposive sampling, while the data analysis included panel data regression analysis. The data were analyzed using Eviews 10 software. The results of this study show that sales growth and leverage affect tax avoidance. Suggestions for further research is to add research model variables that influence tax avoidance.
THE EFFECT OF LIQUIDITY ON TAX AVOIDANCE WITH PROFITABILITY MEDIATION VARIABLE IN BUMN COMPANIES LISTED ON THE IDX IN 2017-2018
Authors: Marito Jojor Sihol , Hutabarat Francis
Published: September 2020

The research objective was to determine the effect of liquidity on tax avoidance with profitability mediation variable in bumn companies listed on the idx in 2017-2018. This study uses a descriptive method with a population of 20 companies and uses a sample of 40 research samples based on 20 BUMN companies listed on the Indonesia Stock Exchange for the year 2017-2018 period. Analysis of the data is the coefficient of determination, F test, t-test, multiple regression. The significant test results show that in model 1 there is no significant effect between liquidity and tax avoidance, this is evidenced by the F-test 4.089 and a significant value of 0.05 at α = 5%. Whereas in model 2, it is found that with the mediation of profitability it is found that the effect of liquidity, profitability on tax avoidance is significant with a significant level of 0.032 at a significant level of 5% with an F-test of 3.779.The significant test results show that the independent variable shows that in model 1 there is no significant effect on the liquidity variable on tax avoidance with a significant value of 0.50 at the 10% significant level. Whereas in model 2, it is found that there is a mediation of profitability, it is found that liquidity and tax avoidance have a significant effect, namely 0.060 at a significant level of 10%. And related to profitability and tax avoidance, there is a significant effect with a significant level of 0.080 at a significant level of 10%. Thus, the existence of profitability does partially mediate the effects of liquidity and tax avoidance. So it is concluded that liquidity has a significant effect on tax avoidance, and profitability has a significant effect on tax avoidance.
Penerapan Metode Naïve Bayes Untuk Klasifikasi Sms Spam Menggunakan Java Rogramming
Authors: Pranata Eko Ardian , Subari Subari , Gunawan Go Frendi
Published: September 2020

Short Message Service (SMS) adalah salah satu layanan komunikasi untuk mengirim dan menerima pesansingkat berupa teks pada telepon seluler (ponsel). SMS masih digunakan setiap harinya karena kemudahanpenggunaan, sederhana, cepat, dan murah. Meningkatnya penggunaan SMS dimanfaatkan oleh banyak pihak untuk mendapatkan keuntungan, salah satunya adalah mengirimkan spam melalui SMS. Metode yangdigunakan melakukan pendekatan probabilistik dalam melakukan inferensi yakni berbasis teorema bayessecara umum. Data latih yang digunakan pada proses pengkategorian didapat dari jurnal dan sudah memiliki kategori sebelumnya yaitu SMS spam dan bukan spam. Aplikasi pada SMS berbahasa Indonesia, yang mempunyai morfologi tertentu dalam pemrosesan pengkategorian. Aplikasi melakukan beberapa tahapan dalam melakukan pemrosesan diantaranya adalah preprocessing berupa case folding, dan parsing,transformation berupa penghapusan stopword removal dan stemming, penghitungan frekuensi danprobabilitas dan perhitungan naïve bayes. Pengkategorian yang dihasilkan oleh aplikasi dibandingkan dengan pengkategorian manual mempunyai rata rata precision sebesar 24%, recall 88% dan Confusion Matrix (Akurasi) sebesar 62%
Sistem Penunjang Keputusan Penentuan Dosen Pembimbing Menggunakan Algoritma Naive Bayes Studi Kasus STIKI Malang
Authors: Wicaksono Febri Yohanes Aldi , Anita Anita , Oktavia Chaulina Alfianti
Published: September 2020

Ketepatan dan kesesuaian dalam pemilihan dosen pembimbing dan co pembimbing tugas akhir bagi mahasiswa mempunyai peranan penting bagi keberhasilan tugas akhir mahasiswa. Mahasiswa sangatmemerlukan dosen pembimbing yang dapat memberikan arahan dan masukan bagi mahasiswa yang sedang mengerjakan tugas akhir serta memahami judul dan tema studi kasus tugas akhir mahasiswa. Saat ini Kaprodi masih menggunakan sistem manual dalam menentukan dosen pembimbing tugas akhir. Haltersebut memerlukan waktu yang lama dalam proses penentuan dosen pembimbing tugas akhir bagimahasiswa yang bersangkutan, salah satu faktornya adalah kaprodi harus meneliti satu persatu judul sesuaicalon dosen pembimbing yang mempunyai pengalaman didalam judul yang akan di angkat. Untuk itu diperlukan sebuah sistem yang dapat membantu Kepala Program Studi (KAPRODI) yang dapat merekomendasikan dosen pembimbing dan co pembimbing yang sesuai dengan kompetensi judul tugas akhir mahasiswa. Sistem rekomendasi dosen pembimbing yang dibangun memanfaatkan algoritma Naive Bayes Clasiffier dan cosine similarity sebagai penentu rekomendasi dosen pembimbing dan co pembimbingNaive Bayes Classifier merupakan teknik prediksi berbasis probabilistic sederhana yang berdasar pada penerapan teorema bayes atau aturan bayes dengan asumsi independensi (ketidak tergantungan) yang kuat sedangkan algoritma cosine similarity merupakan metode yang digunakan untuk menghitung Similarity (tingkat kesamaan) antar dua buah objek. Rekomendasi dosen pembimbing dan co pembimbing didasarkan pada kompetensi dosen pembimbing dan judul tugas akhir yang pernah dibimbing oleh dosen sebelumnya sehingga sistem dapat merekomendasi dosen pembimbing yang sesuai dan berkompeten. dengan acuan data training judul tugas akhir didapat hasil yang dapat membantu dalam proses penentuan dosen pembimbing bagi kaprodi STIKI Malang dan mahasiswa.
Branding TPA Wisata Edukasi Talangagung Kabupaten Malang
Authors: Adia Cheryke Selsa , Pujiyanto Pujiyanto , Arizal Fariza Wahyu
Published: September 2020

Branding merupakan rangkaian pembentukan nama, istilah, simbol, desain atau kombinasinya yang mengindentifikasikan produk/jasa. Corporate identity yang meliputi nama, logo, tagline, warna, tipografi dan elemen gambar, menjadi unsur utama pembentuk brand. Karena corporate identity lebih menarik, unik dan berbeda dengan yang lain menjadi mudah dikenal oleh masyarakat. TPA Talangagung juga merupakan tempat pengelolaan sampah terpadu yang telah memilah sampah organik dan sampah non-organik. TPA Wisata Edukasi Talangagung menjadi fasilitas wisata edukasi diawali dengan untuk mengajak masyarakat belajar memilah sampah. Hal tersebut kegiatan wisata edukasi yang ditawarkan oleh outdoor yaitu outbound dan camping ground. TPA Talangagung banyak belum mengetahui tentang wisata edukasi tersebut. Tujuan perancangan branding sebagai upaya meningkatkan brand image tersebut dapat mengenal dan menarik minat konsumen untuk datang ke TPA Wisata Edukasi Talangagung. Metode yang digunakan dalam perancangan ini adalah menggunakan metode kualitatif dengan melakukan observasi, wawancara, dokumentasi, dan angket. Hal ini perlu dilakukan guna mengumpulkan data-data pendukung untuk penyusunan konsep perancangan branding. Maka perancangan branding ini dilakukan dengan bentuk visual yang unik dan menarik dapat diaplikasikan ke dalam media promosi sehingga dapat membentuk brand image TPA Wisata Edukasi Talangagung.
Perancangan Playbook Sebagai Pendukung Buku Tema 7 Bagi Siswa Kelas 1 di SDN Pisangcandi 2 Malang
Authors: Saraswati Inggrit Mei
Published: September 2020

Kegiatan belajar siswa semester 2 di SDN Pisangcandi 2 Malang menggunakan buku Tema 7 dengan konsep berisikan banyak tulisan, soal-soal berhitung, dan larangan tidak diperbolehkannya Buku Tema dijadikan sebagai lembar kerja. Hal tersebut berdampak pada kurangnya minat siswa untuk menggunakan buku tersebut di luar jam pelajaran. Maka dari itu, solusi dari permasalahan tersebut adalah dibuatnya buku interaktif dalam bentuk playbook sebagai pendukung dari Buku Tema 7. Selain itu perancangan playbook juga bertujuan untuk meningkatkan minat siswa pada saat belajar serta bermain sesuai materi Buku Tema 7 di luar jam pelajaran. Metode yang digunakan dalam perancangan ini diawali dengan fase pembuatan konsep materi playbook, pemilihan jenis interaktif yang akan digunakan, pembuatan desain dari karakter hingga layout, dan tahap prototyping sebelum ke tahap hasil akhir. Perancangan ini menghasilkan sebuah playbook berupa buku dengan menggunakan 3 konsep interaktif yaitu peek a boo, games, dan participations dengan pembahasan materi yaitu benda hidup dan benda tak hidup, hewan, dan tanaman.
Buku Fotografi Jamu Tradisional sebagai Media Promosi Produk Minuman Alternatif Hidup Sehat
Authors: Nifya Galuh Kumala
Published: September 2020

Jamu tradisional merupakan ramuan alami yang berasal dari tumbuhan berkhasiat untuk menjaga kesehatan dan meringankan penyakit.Jamu tradisional saat ini masih dikonsumsi oleh masyarakat karena alami dan tidak mengandung efek samping.Seiring dengan perkembangan zaman, pola hidup masyarakat mulai berubah dan pengobatan juga semakin modern.Jamu bergeser keberadaannya terlebih lagi di kalangan anak muda.Kurangnya pemahaman masyarakat terhadap jamu tradisional, maka dibutuhkan media komunikasi visual sebagai media informatif yang berisi pengetahuan tentang jamu, media yang dibuat berupa buku fotografi. Model perancangan ini diawali dari penulisan latar belakang masalah dilanjutkan dengan pengumpulan data, terdiri dari data yang terdiri dari data primer dan data sekunder, kemudian analisa data, sintesis data, menentukan konsep perancangan kemudian melakukan proses perancangan sampai ke final desain. Metode yang digunakan dalam pengambilan data lapangan adalah observasi, dokumentasi dan wawancara. Perancangan ini menghasilkan buku fotografi jamu tradisional berjudul “Suwe Ora Njamu” Konten yang terdapat di dalam buku fotografi ini akan memberikan informasi mengenai jamu tradisional yaitu sejarah, pemanfaatan jamu tradisional, cerita penjual jamu tradisional di masa sekarang, resep dan khasiat bahan yang digunakan dalam jamu tradisional. Informasi tersebut akan disampaikan dengan bahasa yang mudah dipahami dan menarik untuk dibaca.
Rancang Bangun Sistem E-commerce Clothing Store dan Modul Custom Design Lab Terintegrasi
Authors: Irawan Paulus lucky tirma , Rozando David
Published: September 2020

Kemudahan akses internet saat ini dan faktor kemudahan dalam mengembangkan sebuah website E-commerce menjadi alternatif yang laris bagi para penggiat bisnis di dunia internet. Toko baju online adalah salah satu jenis bisnis E-commerce yang banyak bermunculan di dunia internet saat ini. Penerapan E-commerce pada bisnis ini dapat menangani proses perdagangan yang terdiri dari proses pemesanan, pembelian, pembayaran, hingga pengiriman barang. Kustomisasi pemesanan terhadap barang yang dipesan juga menjadi salah satu nilai tambah yang dapat ditawarkan kepada calon konsumen. Adanya modul yang disebut dengan Custom Design Lab dapat menjadi solusi terhadap permintaan tersebut. Modul ini dalam implementasinya akan diintegrasikan dengan sistem E-commerce yang ada sehingga proses perdagangan yang ada juga berlaku pada sistem preorder tersebut. Pengembangan website E-commerce ini menggunakan framework PyroCMS sebagai aplikasi dasar dengan melakukan konfigurasi pada beberapa modulnya. Fokus utama dari penelitian ini adalah dihasilkannya sebuah situs E-commerce yang sudah merepresentasikan proses bisnis online secara umum dan juga sudah memiliki fitur Custom Design Lab untuk kustomisasi pemesanan produk.
Faktor Angin Pada Special-Effect Api Untuk Objek Bergerak Menggunakan Particle System
Authors: Suryanto Farid
Published: September 2020

Salah satu teknik dalam komputer grafis yang menangani objek-objek tidak beraturan dengan ukuran kecil dan berjumlah sangat banyak adalah particle system. Saat ini, particle system tidak hanya digunakan untuk menciptakan efek-efek fantasi tapi juga digunakan untuk melakukan simulasi. Salah satu fungsi dari particle system adalah untuk menciptakan efek kobaran api. Variabel pokok untuk menciptakan efek api diantaranya adalah start-delay, lifetime, speed, size, rotation, max-particle, emission-rate, shape-style, shape-angle, dan shape-radius. Untuk menciptakan efek kobaran api yang dipengaruhi oleh faktor angin pada objek bergerak dapat dilakukan dengan melakukan perubahan dua parameter pada particle system yaitu size dan speed.
THE EFFECTS OF PRODUCTION PARAMETERS ON THE PHYSICAL PROPERTIES OF DUAL-CORE SLUB YARNS
Authors: TÜRKSOY Hüseyin Gazi , ERTEK AVCI Münevver , YILDIRIM Nida
Published: September 2020

Denim is fabric
construction which is popular worldwide with its fit, ease and durability and it
has evolved significantly in terms of aesthetic and functional properties
throughout time to maintain this popularity. Denim fabric manufacturers are in
search of different visual and functional properties at all times. In this
study, dual-core slub yarns were developed for using as weft yarn in denim
fabric structure. Dual-core and slub production techniques were used
simultaneously for production of dual-core slub yarns which will use improving elastic and aesthetic properties of denim fabrics. Within the scope of the study, firstly dual-core slub yarn samples called
Group-I were produced with different core draft values of EME (Elastomultiester-I.core) and elastane (II.core). The effects of cores’ draft on the
properties of dual-core slub yarns such as unevenness, hairiness,
tenacity and breaking elongation were
investigated with Group-I yarn samples. The breaking elongation values are affected by both
EME and elastane core draft factors, while the tenacity is only affected by EME
core draft factor. Moreover, in
order to examine the effects of slub types, the physical properties of one of the
dual-core slub yarn selected from Group I, were compared with equivalent
dual-core yarns (having two different version of basic slub and without slub)
which called Group II. The results
showed that slub types have statistically significant effect on the only unevenness
values.
Potensi Pemanfaatan Limbah Air Pendaurulangan Papan Partikel Sebagai Pupuk Cair Bibit Tanaman Kehutanan Lambat Tumbuh (Slow Growing Species)
Authors: Arif Nuryawan  , Putri Azizah Annur Manik  , Aulia Ul Husna  , Kansih Sri Hartini
Published: September 2020

Untuk menganalisis potensi limbah air hasil pendaurulangan papan partikel komersial berperekat urea-formaldehida (UF) untuk digunakan sebagai pupuk cair tanaman kehutanan lambat tumbuh (slow growing species) dilakukan pengujian PSA (particle size analyzer) berskala mikron pada limbah air tersebut dan perhitungan fraksi sol dari film UF. Pengukuran PSA menggunakan Malvern Mastersizer 3000 Hydro EV dan penghitungan fraksi sol menggunakan metode gravimetri. Hasil yang diperoleh terdapat dominasi partikel kayu pada limbah air tersebut yang berukuran 20 hingga 50 m sebanyak (31,78+5,19)%. Analisis film UF menunjukkan terdapat fraksi sol sebesar (22.24+2.51)% untuk penggunaan hardener ammonium chloride (NH4Cl) sebanyak 1% dan (4.73+2.25)% untuk penggunaan hardener NH4Cl sebanyak 3%. Hal ini mengindikasikan limbah air hasil pendaurulangan papan partikel komersial tersebut berpotensi dapat digunakan sebagai pupuk cair karena mengandung bahan organik berupa partikel kayu berukuran mikro dan fraksi sol yang berasal dari perekat UF sehingga dapat digunakan sebagai sumber nutrisi tanaman kehutanan lambat tumbuh (slow growing species).
Pemetaan Kesehatan Pohon di Hutan Konservasi (Studi Kasus Tahura Wan Abdul Rachman, Desa Cilimus Kecamatan Teluk Pandan Kabupaten Pesawaran Provinsi Lampung)
Authors: Rahmat Safe’i  , Arief Darmawan  , Hari Kaskoyo
Published: September 2020

Pohon merupakan penyusun utama sebuah hutan. Hutan konservasi yang sehat harus tersusun dari pepohonan yang sehat pula. Tahura Wan Abdul Rahman termasuk hutan konservasi dalam bentuk kawasan pelestarian alam. Salah satu cara untuk mengetahui hutan konservasi yang sehat, yaitu dengan melakukan pemetaan kesehatan pohon. Penelitian ini bertujuan untuk mengetahui sebaran kondisi kesehatan pohon di hutan konservasi. Penelitian ini dilaksanakan pada hutan konservasi di Desa Cilimus, Kecamatan Teluk Pandan, Kabupaten Pesawaran, Provinsi Lampung. Penelitian ini menggunakan metode penilaian kerusakan pohon berdasarkan teknik Forest Health Monitoring (FHM). Plot ukur sampel berdasarkan desain klaster-plot FHM sebanyak dua klaster-plot. Hasil penelitian menunjukkan bahwa terdapat 47 pohon yang dinilai kesehatan pohonnya; dengan 4 pohon (9%) pada kategori baik, 16 pohon (34%) pada ketegori sedang, dan 27 pohon (57%) pada kategori jelek. Kerusakan pohon yang paling banyak ditemukan, yaitu pada lokasi cabang (kode 7) sebanyak 16 (25,40%) dengan tipe kerusakan daun, pucuk atau tunas rusak (kode 24) sebanyak 20 (31,75%). Dengan demikian, sebaran kesehatan pohon yang rusak pada hutan konservasi tersebar secara menyeluruh dengan tingkat kondisi kesehatan pohon yang jelek.
Aplikasi Fungi Aspergillus niger, Aspergillus sp. 1, Aspergillus sp. 2 Untuk Meningkatkan Pertumbuhan Rhizophora apiculata Di Kecamatan Pangkalan Susukabupaten Langkat
Authors: Yunasfi  , Susi Soraya Silaban  , Budi Utomo
Published: September 2020

Hutan mangrove merupakan salah satu bentuk ekosistem hutan yang unik dan khas yang terdapat di daerah pasang surut di wilayah pesisir, pantai, dan pulau-pulau kecil. Alih fungsi lahan mangrove menjadi tambak, pemukiman, industri, dan kegiatan penebangan pohon-pohon mangrove akan berdampak pada rusaknya ekosistem ini. Dampak ekologis dari rusaknya ekosistem mangrove ini adalah terganggunya keseimbangan ekosistem mangrove. Alih fungsi hutan dapat diatasi dengan melakukan rehabilitasi ekosistem mangrove. Untuk mencapai tujuan tersebut dibutuhkan bibit yang sehat dan memiliki pertumbuhan yang cepat. Tujuan penelitian ini adalah untuk mengevaluasi jenis- jenis fungi yang diharapkan mampu meningkatkan pertumbuhan bibit mangrove R. apiculata. Penelitian ini menggunakan beberapa jenis fungi yaitu jenis fungi Aspergillus niger, Aspergillus sp. 1, Aspergillus sp. 2, dan kontrol. Sedangkan rancangan percobaan yang dilakukan dalam metode penelitian ini adalah Rancanan Acak Lengkap (RAL). Hasil penelitian ini menunjukkan fungi memiliki kemampuan yang berbeda-beda dalam meningkatkan laju pertumbuhan pada bibit R. apiculata yang berpengaruh nyata terhadap parameter diameter, tinggi, lebar daun. Dari hasil penelitian ini disimpulkan bahwa fungi Aspergillus niger memberikan manfaat yang baik bagi pertumbuhan mangrove.
Aplikasi Fungi Pada Semai Rhizophora apiculata Di Pesisir Pantai Pulau Sembilan Kecamatan Pangkalan Susu
Authors: Yunasfi  , Raufan S Harahap  , Budi Utomo
Published: September 2020

Mangrove adalah salah satu sumberdaya alam pesisir yang dapat pulih dan merupakan komunitas vegetasi pesisir tropis yang didominasi oleh beberapa spesies pohon mangrove yang mampu tumbuh dan berkembang pada daerah pasang surut pantai berlumpur. Tujuan penelitian ini adalah untuk mendapatkan informasi mengenai pengaruh berbagai jenis fungi pada pertumbuhan semai R.apiculata. Penelitian ini dilaksanakan di pulau sembilan kecamatan pangkalan susu, dengan menggunakan rancangan acak lengkap (RAL) yang terdiri atas 4 perlakuan dengan 10 ulangan. Jenis fungi yang digunakan yaitu Pestalotia sp, Trichoderma harzianum, Fusarium verticilliodes serta adanya kontrol sebagai pembanding. Pemberian fungi memberikan pengaruh pada pertambahan tinggi tanaman R.apiculata dengan tinggi rata-rata 65,59 cm pada perlakuan fungi Trichoderma harzianum. Diameter rata-rata yang diperoleh dari perlakuan fungi Fusarium verticilliodes adalah sebesar 1,47 cm. Pertambahan lebar daun rata-rata sebesar 4,04 cm pada perlakuan Kontrol. Jumlah daun tertinggi terdapat pada perlakuan fungi Fusarium verticilliodes yaitu sebanyak 14 helai. Fungi yang paling banyak memberikan pengaruh pada pertambahan pertumbuhan bibit R.apiculata terdapat pada fungi Fusarium verticilliodes.
Epidemiological profile of patients served due to official accidents in the north of Brazil, Amazon Region, in the period from 2009 to 2019
Authors: Carneiro Larissa Queiroz Costa , Barbosa Isabela Menezes , Cardoso Igor de Souza , Dias Cláudio Alberto Gellis de Mattos , Oliveira Euzébio de , Dendasck Carla Viana , Fecury Amanda Alves
Published: September 2020

Ophidian accidents are a significant public health problem worldwide, due to both their frequency and morbidity and mortality. In Brazil, during the years 2009 to 2019 there were 313,139 registered cases, of which 151,565 occurred in the North Region, making explicit the importance of studying this disease in that Region. The objective of the present study is to determine the epidemiological profile of the affected patients (age and sex), the accident itself (UF, month, year, time to attend) and the snake gender of the accidents that occurred in the Northern region of Brazil. Secondary data were obtained through access to the Information Department of the Brazilian Unified Health System (DATASUS), at the electronic address www.datasus.gov.br, in the SIH / SUS Hospital Information System. It was found that the accidents occurred mainly in rural areas, with men, in socioeconomically active age, caused by snakes of the Bothrops genus. Several cases could be classified as accidents at work, these could be avoided or minimized with appropriate personal protective equipment and guidelines.
Locating Product Information from the Web using Simhash Fingerprints
Authors: Tuan Anh Pham Nguyen , Van Nguyen Khanh
Published: September 2020

We  considerthe  problem  of  creating  efficient search  schemes  that  are  specialized  for  product information;  this  is  a  very  important  issue  given  the explosive  growth  of  commercial  websites  and  Internetbased  services.  We  share  the  observation  in  PEWeb [24], that products are almost always displayed in range of  similar-look  info  pieces  showing  features  and  prices for customers to choose and so, the webpage DOM tree would have similar subtrees in the parts  corresponding to the product show areas.We  propose  to  use  a  special  hash  function,  namely Simhash  [18],  for  identifying  the  product  regions.  Our basic idea is that sub-trees (in the  webpage DOM tree) with  similar  structures  would  have  similar  Simhash fingerprints (separated just by a few bits). To eliminate possible  miscalls  in  the  first  phase  using  Simhash,  we also combine  with a decision tree approach which gives us  more  flexibility  especially  with  product  websites developed  by  Vietnamese  companies  which  prefer certain  display  formats  not  very  popular  worldwide. Compared to PEWeb,  our scheme can be  more refined and  flexible  where  we  have  more  options to  adjust  the scheme.  This  improvement  in  preciseness  is  strongly supported by experimental results.
Structural Identification of Masonry Residential Buildings Considering Wall Openings
Authors: Toydemir Burak , Koçak Ali
Published: September 2020

Although one-story residential masonry structures are thought not to be vulnerable to seismic actions, many heavily damaged and/or collapsed instances of these types of structures have been observed in the past strong earthquake events. Hence, the evaluation of their safety requires much attention in terms of more precise numerical models. In-situ vibration tests together with laboratory tests on masonry specimens provide valuable information for structural parameter identification that can be used to develop accurate numerical models. These numerical models then can be used for evaluation of the response and seismic safety. While many specific methods and parameters can be adopted in numerical modeling, linear material properties of a structure are expedient in response analysis. Hence, an equation to be used to determine the homogenized linear model parameters for masonry walls with openings is proposed in this study. The equation has been developed based on the percentage of the openings on the wall. The effect of wall openings on the stiffness and the total strength of one-story masonry structures have been evaluated by using the experimental data and the calibrated finite element models. In-situ ambient vibration and material tests have been conducted on three masonry buildings with identical materials and the results from these experiments were used to verify the accuracy of the formulation.
Drugs, sex, and love: narrative of an object relations couple therapy
Authors: Savege Scharff Jill , Oren Dina
Published: September 2020

The authors present their clinical experience with a couple struggling with conflict over marihuana. Before introducing the case, the authors give a brief review of the analytic literature on drug misuse and its impact on relationships. Writing from an object relations perspective, they reconstruct the impact of unconscious dynamics on the user, spouse, marriage, and couple therapist. Such a narrative report aims to do justice to the complexity of therapy and the confusion to be tolerated whilst making sense of the couple’s unique experience. The article follows the progression indicated in the title—from a focus on conflict over drug use as a defence against sexual anxiety and difference in desire, to conflict over sex as a defence against exploring the pain of not feeling loved for themselves, and ultimately on their coming together to confront their needs for love.
CDKN2A deletion is a frequent event associated with poor outcome in patients with peripheral T-cell lymphoma not otherwise specified (PTCL-NOS)
Authors: Maura Francesco , Dodero Anna , Carniti Cristiana , Bolli Niccolò , Magni Martina , Monti Valentina , Cabras Antonello , Leongamornlert Daniel , Abascal Federico , Diamond Benjamin , Rodriguez-Martin Bernardo , Zamora Jorge , Butler Adam , Martincorena Inigo , Tubio Jose M. C. , Campbell Peter J. , Chiappella Annalisa , Pruneri Giancarlo , Corradini Paolo
Published: September 2020

Nodal peripheral T-cell lymphoma not otherwise specified (PTCLNOS) remains a diagnosis encompassing a heterogenous group of PTCL cases not fitting criteria for more homogeneous subtypes. They are characterized by a poor clinical outcome when treated with anthracycline-containing regimens. A better understanding of their biology could improve prognostic stratification and foster the development of novel therapeutic approaches. Recent targeted and whole exome sequencing studies have shown recurrent copy number abnormalities (CNA) with prognostic significance. Here, investigating five formalinfixed, paraffin embedded cases of PTCL-NOS by whole genome sequencing, we found a high prevalence of structural variants and complex events, such as chromothripsis likely responsible for the observed CNA. Among them, CDKN2A and PTEN deletions emerged as the most frequent aberration, as confirmed in a final cohort of 143 patients with nodal PTCL. The incidence of CDKN2A and PTEN deletions among PTCL-NOS was 46% and 26%, respectively. Furthermore, we found that co-occurrence of CDKN2A and PTEN deletions is an event associated with PTCLNOS with absolute specificity. In contrast, these deletions are rare and never co-occur in angioimmunoblastic and anaplastic lymphomas. CDKN2A deletion was associated with shorter overall survival in multivariate analysis corrected by age, International Prognostic Index, transplant eligibility and GATA3 expression (adjusted Hazard Ratio =2.53; 95% Confidence Interval: 1.006-6.3; P=0.048). These data suggest that CDKN2A deletions may be relevant for refining the prognosis of PTCLNOS and their significance should be evaluated in prospective trials.
A Mini-Review on the Phytochemistry and Pharmacology of the Plant Carica Papaya L. (Caricaceae)
Authors: Clement Inkoto Liyongo  , Colette Masengo Ashande  , Clarisse Falanga Mawi  , Blaise Membo wa Mbembo  , Jean-Jacques Amogu Domondo  , Mahendra Ilmi S Matondang  , Jean-Pierre Kayembe Kayembe  , Pius Tshimankinda Mpiana  , Koto-te-Nyiwa Ngbolua
Published: September 2020

Medicinal plant is an important element of indigenous medical systems all over the world. The ethno botany provides a rich resource for natural drug research and development. Carica papaya is used in Traditional Medicine since a long time. Our investigations started by a search of relevant literature on the plant species. Databases such as Science direct, PubMed, Google Scholar and Scopus were used successively to retrieve the articles on C. papaya. The chemical structures of isolates compounds from this plant were drawn using ChemBioDraw Ultra 12.0 software package. Finally, bibliographical references were made using bibliographical software "Mendeley". Results show that the plant C. papaya contains various secondary metabolites, minerals and vitamins. The plant species is reported to possess various pharmacological properties like anti-oxidant, anti-inflammatory, antibacterial, anti-diabetic, anti-hyperlipidemic, larvicidal effects, etc. These pharmacological activities could due to the presence of various phytochemicals present in this plant species. The present review can therefore help inform future scientific research towards the development of novel drugs of relevance from C. papaya to combat various ailments including Sickle cell disease.