bluuebunny/crossref_metadata_2025 huggingface dataset:
PEMANFAATAN TEPUNG GLUKOMANAN DARI PATI UMBI PORANG (AMORPHOPHALLUS MUELLERI BLUME) SEBAGAI BAHAN DASAR PEMBUATAN EDIBLE FILM
Authors: Falah Zakenia Khairunnisa , Suryati Suryati , Sylvia Novi , Meriatna Meriatna , Bahri Syamsul
Published: December 2021

Bahan makanan pada umumnya sangat sensitif dan mudah mengalami penurunan kualitas. Bahan pengemas dari plastic banyak digunakan dengan pertimbangan ekonomis dan memberikan perlindungan yang baik dalam pengawetan. Penggunaan material sintetis tersebut berdampak pada pencemaran lingkungan, sehingga dibutuhkan penelitian mengenai bahan pengemas yang dapat diuraikan. Alternative penggunaan kemasan yang dapat diuraikan adalah menggunakan edible film. Edible film didefinisikan sebagai lapisan yang dapat dimakan yang ditempatkan di atas atau di antara komponen makanan, dapat memberikan alternative bahan pengemas yang tidak berdampak pada pencemaran lingkungan karena menggunakan bahan yang dapat diperbaharui dan harganya murah. Kandungan glukomanan pada umbi porang memiliki kemampuan   membentuk lapisan film yang baik, biocompatibility yang baik, biodegradable  serta memiliki kemampuan membentuk gel. Oleh karena itu umbi porang dapat dijadikan sebagai bahan dasar pembuatan biopolimer atau biodegradable polimer.    Edible film Glukomanan dan plasticizer gliserol dengan penambahan kitosan dibuat dengan proses pemanasan pada suhu 50oC dan pengeringan pada suhu 60oC. hasil terbaik edible film biodegradable diperoleh pada konsentrasi gliserol 3 ml dan glukomanan 3 gram dan memiliki nilai ketebalan 0,59 mm, nilai ketahanan air 25,229% dan nilai kemampuan terdegradasi 100%. Hasil spektrum FTIR terhadap edible film menunjukkan tidak adanya perubahan bilangan gelombang dari spektrum glukomanan, kitosan dan gliserol dengan gugus fungsi O–H, N–H dan C=O. Hal ini menunjukkan bahwa edible film yang dihasilkan hanya berinteraksi secara fisik.
PENGARUH EKSPOR HASIL MINYAK DAN IMPOR MINYAK BUMI TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA
Authors: Arza Fadila , Murtala Murtala
Published: December 2021

This study aims to analyze the effect of oil product exports and petroleum imports on the economic growth of Indonesia. This study uses secondary data. The method used to analyze the relationship between endogenous and exogenous variables is a dynamic model with the Vector Error Correction Model (VECM) approach. The results in the long-term and short-term show that Oil Products Exports have a positive effect on the Economic Growth of Indonesia. In the long-term and short-term, petroleum imports negatively influence the economic growth of Indonesia.Keywords:Oil Product Exports, Crude Oil Imports, Economic Growth
PENGARUH PDB, JUMLAH PENDUDUK DAN INDEKS PEMBANGUNAN MANUSIA TERHADAP KEMISKINAN PADA KAB/KOTA DI PROVINSI ACEH
Authors: Nufus Jannatun , Husein Ratna
Published: December 2021

This study aims to determine the effects of GRDP, population, and HDI on poverty in 23 districts/cities in Aceh Province. This study uses secondary data obtained from the Central Bureau of Statistics during 2012-2018 and cross-section data from 23 districts/cities, thus forming a total panel data of 161 data. The data analysis method used is a panel data regression model using the Eviews 9 program. The results show that partially the GRDP and population do not have a significant and negative effect on poverty in districts/cities in Aceh Province. Meanwhile, HDI partially has a significant and negative effect on the poverty of districts/cities in Aceh Province. The magnitude of the influence of GRDP, total population, and HDI on poverty is 0.374 (37.4%), while those influenced by other variables outside this model are 0.626 (62.6%). Suggested: Local governments should increase sub-sector efforts to boost GDP, to reduce poverty levels.Keywords:Poverty, GRDP, Total Population, Human Development Indekx
PENGARUH PERTUMBUHAN EKONOMI, PENGELUARAN PEMERINTAH DI SEKTOR PENDIDIKAN DAN KESEHATAN TERHADAP KEMISKINAN DI PROVINSI ACEH
Authors: Nurdin Muhammad , Sari Cut Putri Mellita
Published: December 2021

ABSTRAK Penelitian ini bertujuan untuk mengetahui pengaruh pertumbuhan ekonomi, pengeluaran pemerintah di sektor pendidikan dan kesehatan terhadap kemiskinan di Provinsi Aceh Tahun 2010-2016. Data yang digunakan dalam penelitian ini adalah data sekunder  yang bersumber dari Website Badan Pusat Statistik (BPS) Provinsi Aceh tahun 2010-2016. Metode analisis data yang digunakan dalam penelitian ini adalah model Regresi Linier Berganda yang dianalisis dengan bantuan program eviews. Hasil penelitian menunjukkan bahwa secara parsial variabel pertumbuhan ekonomi tidak berpengaruh secara positif dan signifikan terhadap kemiskinan di Provinsi Aceh. Dan variabel pengeluaran pemerintah di sektor pendidikan dan kesehatan berpengaruh secara negatif dan signifikan terhadap kemiskinan di Provinsi Aceh. Sedangkan secara simultan (bersama-sama) variabel pertumbuhan ekonomi dan pengeluaran pemerintah di sektor pendidikan dan kesehatan berpengaruh secara positif dan signifikan terhadap kemiskinan di Provinsi Aceh tahun 2010-2016. Penelitian ini diperoleh nilai Koefesien Determinasi (R2) sebesar 0.990598 atau 99.0598%.Kata Kunci: Pertumbuhan Ekonomi, Pengeluaran Pemeritah di Sektor Pendidikan dan Kesehatanm, Kemiskinan
PENGARUH PEMBIAYAAN MUDHARABAH DAN MURABAHAH TERHADAP PROFITABILITAS (RETURN ON ASSETS) BANK PEMBIAYAAN RAKYAT SYARIAH DI INDONESIA 2012-2016
Authors: Pristianda Ade , Dharma Yulis
Published: December 2021

ABSTRAK            Penelitian ini bertujuan untuk mengetahui Pengaruh Pembiayaan Mudharabah dan Murabahah terhadap Profitabilitas (Return On Assets) Bank Pembiayaan Rakyat Syariah di Indonesia. Data yang digunakan adalah data sekunder bersumber dari data statistik Perbankan syariah tahun 2012-2016. Metode analisis data yang digunakan adalah regresi linear berganda dan alat analisis menggunakan bantuan software Eviews8. Hasildarianalisisdata dapat disimpulkan bahwa variabel Pembiayaan Mudharabah (X1) berpengaruh negatif dan tidak signifikan terhadap profitabilitas (Y), sedang kan variabel Pembiayaan Murabahah (X2) berpengaruh negatif dan tidak signifikan terhadap profitabilitas (Y). Secara bersama-sama Pembiayaan Mudharabah dan Murabahah tidak signifikan terhadap Profitabilitas (Return On Asset) Bank Pembiayaan Rakyat Syariah (Return On Assets) Di Indonesia. Uji Determinasi diperoleh sebesar 35% Kata Kunci: Pembiayaan Mudharabah, Murabahah, Profitabilitas (Return On Assets).
PENGARUH EKSPOR MINYAK MENTAH DAN INFLASI TERHADAP PERTUMBUHAN EKONOMI INDONESIA PERIODE 1996-2016
Authors: Fernanda Maria , Asnawi Asnawi
Published: December 2021

Penelitian ini bertujuan untuk melihat bagaimana pengaruh ekspor minyak mentah dan inflasi terhadap pertumbuhan ekokomi di Indonesia. Penelitian ini menggunakan data time series dalam kurun waktu 1996-2016. Dengan menggunakan metode analisis OLS (Ordinary Least Square) yang di estimasi menggunakan aplikasi e-views 9. Berdasarkan hasil analisis dapat disimpulkan bahwa secara bersama-sama ekspor minyak mentah dan inflasi berpengaruh secara signifikan terhadap pertumbuhan ekonomi di Indonesia. Kemudian secara Individu Inflasi berpengaruh secara signifikan dan negatif terhadap pertumbuhan ekonomi. Sedangkan ekspor minyak mentah tidak berpengaruh signifikan terhadap pertumbuhan ekonomi.
PENGARUH PEMBERIAN ZAKAT TERHADAP KESEJAHTERAAN MASYARAKAT DI KECAMATAN MUARA DUA KOTA LHOKSEUMAWE
Authors: Widyana Nina , Munardi Munardi
Published: December 2021

This study aims to analyze the effect of Zakat on Community Welfare in Muara Dua Subdistrict, Lhokseumawe City. This study uses primary data. The sample in this study is 28 respondents who are selected using Census sampling technique. The data analysis method used is a simple linear regression analysis and classical assumption tests. The results of the study partially show that Zakat has a positive and significant effect on the community welfare in Muara Dua Subdistrict, Lhokseumawe City.
FAKTOR-FAKTOR YANG MEMPENGARUHI NILAI PRODUKSI INDUSTRI PERABOT DI KECAMATAN JEUMPA KABUPATEN BIREUN
Authors: Susanti Agus , Andriyani Devi
Published: December 2021

This study aims to analyze the Factors that Influence the Value of Furniture Industry Production in the Sub-district of Jeumpa District Bireuen in 2017. The data used in this study is secondary data. The method use to analyze the relationship of the dependent variable independently is the method of multiple Linear Regression Analysis. The results of the research are partially Labor and Investment Value have a positive and significant effect on the Value of Furniture Industry Production in the Sub-district of Jeumpa District Bireuen. Raw Material costs do not affect the Value of Furniture Industry Production in the Sub-district of Jeumpa District Bireuen. Simultaneously Labor, Investment Value and Raw Material Cost have a positive and significant effect on the Production Value of the Bireuen district of Jeumpa Sub-district Funiture Industry. The amount of influence is equal to 0,6080 or 60,80% . While the rest is influenced by other variables outside the model at 39,20 %.
PENGARUH OBJEK WISATA WADUK TERHADAP PENDAPATAN PEDAGANG DESA JEULIKAT KECAMATAN BLANG MANGAT KOTA LHOKSEUMAWE
Authors: Firdaus Muhammad , Juliansyah Hijri
Published: December 2021

Penelitian ini bertujuan untuk menganalisis pengaruh Pengaruh Objek Wisata Waduk Terhadap Pendapatan Masyarakat  Desa  Jeulikat Kecamatan Blang Mangat Kota Lhokseumawe.  Metode analisis data yang digunakan yaitu analisis regresi linier sederhana. Responden yang digunakan dalam penelitian ini yaitu berjumlah 40 orang. Pengujian hipotesis  menggunakan uji parsial. Hasil penelitian variabel Secara parsial menunjukkan bahwa jumlah pengunjung berpengaruh secara signifikan terhadap pendapatan masyarakat waduk jaulekat. Diharapkan wisata waduk jeulikat dapat di jadikan salah satu sumber tempat wisata yang mampu menarik minat para wisatawan sehingga akan membantu pembangunan ekonomi khususnya Lhokseumawe.
PENGARUH PENGELUARAN PEMERINTAH SEKTOR PENDIDIKAN, KESEHATAN DAN TPAK TERHADAP IPM DI INDONESIA
Authors: Maulina Ulfa , Andriyani Devi
Published: December 2021

This study aims to determine the effect of government spending of education sector, health and level of labor force participation on human development index in Indonesia. This study used time series data from 2005 to 2019. The method of data analysis uses multiple regression analysis. The results of partially show that government expenditure of education sector has a negative and significant effect on human development index in Indonesia, government spending of health sector has a positif and significant effect on human development index in Indonesia, and the level of labor participation has a positive but insignificant effect on human development index in Indonesia. Simultaneously, government spending of education sector, health, and level of labor participation have a positive and significant effect on the human development index in Indonesia.
ANALISIS PENGARUH PEMBIAYAAN MUSYARAKAH TERHADAP PROFITABILITAS BANK SYARIAH DI INDONESIA
Authors: Yani Elli , M.Nur Mukhlis
Published: December 2021

This study aims to determine and analyze the influence of musyarakah financing on the profitability of islamic bankks in indonesia. This research uses secondary data in the form of financial statements on musyarakah financing for islamic bankks during 2008-2012, which are accessed on www.ojk.go.id . The data analysis method used is a simple linear regression with the help of eviews program. The partial result shows that the t-statistic value of musyarakah financial is 15,29370 with a probability of 0,0000 which means lower that the value of α = 0,05. It concludes that musyarakah Financiang has a significant effect on the profitability (ROA) of islamic bankks listed on the financial Services Authority (OJK) in 2008-2012.
PENGARUH TINGKAT PENGANGGURAN DAN PENGELUARAN PEMERINTAH TERHADAP PERTUMBUHAN EKONOMI DI KABUPATEN ACEH UTARA TAHUN 2007-2016
Authors: Mauliza Nur , Andriyani Devi
Published: December 2021

Penelitian ini bertujuan untuk mengetahui Pengaruh Tingkat Pengangguran dan Pengeluaran Pemerintah Terhadap Pertumbuhan Ekonomi di Kabupaten Aceh Utara Tahun 2007-2016. Data yang digunakan dalam penelitian ini adalah data sekunder yang bersumber dari Badan Pusat Statistik (BPS) Kabupaten Aceh Utara tahun 2007-2016. Metode analisis data yang digunakan dalam penelitian ini adalah model Regresi Linier Berganda yang di analisis dengan bantuan program eviews. Hasil penelitian menunjukkan bahawa variabel secara parsial tingkat pengangguran berpengaruh negatif dan signifikan terhadap pertumbuhan ekonomi di Kabupaten Aceh Utara dan variabel pengeluaran pemerintah berpengaruh negatif dan signifikan terhadap pertumbuhan ekonomi di Kabupaten Aceh Utara. Sedangkan secara simultan (bersama-sama) variabel tingkat pengangguran dan pengeluaran pemerintah berpengaruh secara positif dan signifikan terhadap pertumbuhan ekonomi di Kabupaten Aceh Utara tahun 2007-2016.
FAKTOR-FAKTOR YANG MEMPENGARUHI INDEKS PEMBANGUNAN MANUSIA DI KABUPATEN PIDIE TAHUN 2010 - 2017
Authors: Marleni Lena , Anwar Khairil
Published: December 2021

This study aims to analyze the factors that influence the Human Development Index in Pidie Regency in 2010-2017. The data used in this study are secondary data from 2010 to 2017. This model used in this study is the multiple linear regression. The results of the study partially show that the Gross Regional Domestic Product and the Number of labors have a positive and significant effect on the Human Development Index in Pidie Regency from 2010 to 2017. Poverty has a negative and significant effect on the Human Development Index in Pidie Regency from 2010 to 2017. Simultaneously, GDP, poverty and the number of labors have a positive and significant effect on the Human Development Index in Pidie Regency from 2010 to 2017
Finansal Oranlar ve Sanayi Üretim Endeksi ile Getiri Arasındaki Asimetrik İlişki: BİST İmalat Sanayii Uygulaması
Authors: YILMAZ Kübra , KALE Süleyman
Published: December 2021

Yatırımcılar yatırım kararlarını hisse senetlerinden bekledikleri getiriye göre verirler.. Çünkü hisse senedi getirilerini etkileyen birçok işletme içi ve işletme dışı faktör bulunduğundan, yapılan tahminler her zaman tutarlı sonuçlar vermemektedir. Bu çalışmanın amacı işletme içi faktörleri gösteren finansal oranlar ile işletme dışı faktörleri gösteren sanayi üretim endeksi ile işletmelerin hisse senedi getirileri arasındaki asimetrik ilişkileri Shin, Yu, ve Greenwood-Nimmo (2014) tarafından geliştirilen Panel Doğrusal Olmayan Gecikmesi Dağıtılmış Otoregresif Model (Panel NARDL) ile incelemektedir. Çalışmada, 2005Q1-2019Q4 döneminde BIST’de imalat sanayiinde işlem gören 103 işletmeye ait veriler ele alınarak, bağımlı değişken olarak hisse senedi getirileri, bağımsız değişken olarak cari oran, toplam borç oranı, nakit döngüsü, öz sermaye karlılığı ve sanayi üretim endeksi kullanılmıştır. Yapılan analizlere göre göre; öz sermaye karlılığı ile hisse senedi getirileri arasında uzun dönemde; nakit döngüsü ve sanayi üretim endeksi ile getiriler arasında kısa dönemde asimetrik bir ilişki olduğu tespit edilmiştir. Ulaşılan sonuçlar hisse senedi getirilerindeki hareketlerin yeni yaklaşımar ışığında analiz edilmiş olması bakımından önem taşımaktadır.
Emsal Hukuk Dokümanlarının Otomatik Belirlenmesi
Authors: CETİNER Meltem , AKGÜL Yusuf Sinan
Published: December 2021

Doğal dil işleme çalışmaları, yapay zekada olduğu gibi veri artışına bağlı olarak hız kazanan alanlardan biridir. Bu çalışmada, ele alınan hukuk dokümanlarının da zaman içerisinde örnekleri artmaktadır. Bir davada emsal olarak gösterilen başka bir davanın tespiti, dava seyrini tamamıyla değiştirmesi nedeniyle oldukça önemlidir. Emsal dava tespitini ele alan bu çalışmada, Ulusal Yargı Ağı Projesi (UYAP) bilgi bankası üzerinden bir veri seti oluşturulmuştur. Davaların incelenmesi ile elde edilen dava şablonları kullanılarak, farklı kısımların girdi ve çıktı sağladığı metinden metin elde edilmesini sağlayan LSTM modeli ile üç farklı sistem oluşturulmuştur. Sistemlerden sağlanan metin çıktıları, farklı BERT modellerinden elde edilen temsil vektörlerinden, FAISS kütüphanesi yardımıyla hızlı bir şekilde test verileri için en yakın dokümanlar elde edilmiştir. 5 farklı dava tipi kategorisindeki test hukuk dokümanlarının, kategori kümelerindeki dokümanlar arasından en benzer 10 dokümanı iki avukat tarafından ayrı ayrı işaretlenmiştir. Sistemlerden elde edilen ve avukatların işaretlediği sonuçlar karşılaştırılmış, benzerlikler örneklerle açıklanarak paylaşılmıştır.
Tuning the Parameters of Power System Stabilizer Using Runge Kutta Algorithm
Authors: KAYMAZ Enes , GÜVENÇ Uğur , DÖŞOĞLU Mehmet Kenan
Published: December 2021

Low-frequency oscillations due to unpredictable disturbances in an interconnected power grid are a serious threat to the stability of the power system. Reliable operation of a modern power system, when exposed to sudden disturbances, is crucial, and the safe operation of the system is directly related to success in damping oscillations. Power System Stabilizer (PSS) devices have been used to reduce fluctuations caused by short-time disturbances in power systems. These devices provide additional damping torque components to the generators as an auxiliary control device of the excitation system. Due to the non-linearity of electrical power systems, it is significant to design multi-machine power systems with optimum PSS parameters under critical conditions. In this paper, the PSS design problem was solved using the Runge Kutta Algorithm (RUN). The PSS design problem was considered an optimization problem in which an eigenvalue-based objective function has developed, and the proposed RUN method was tested in a WSCC 3-machine 9-bus test system using the linearized Heffron-Phillips model. In the linearized model, system stability has been enhanced by shifting the eigenvalues to the stability regions. When the results obtained from the test system are examined, it has seen that the proposed RUN is the most effective method in terms of system stability.
Learner engagement with corrective feedback using think-aloud protocols
Authors: Fernández-Michels Pedro , Fornons Laia Canals
Published: December 2021

Online language learning environments where asynchronous communication is the main form of relation between learners and teachers require learners to use self-regulatory skills that help them control their learning process and compensate for the lack of interaction with their teachers (Fernández-Toro & Furnborough, 2014; Fernández-Toro & Hurd, 2014). In such a context, feedback can constitute a driver of self-regulation, facilitating information about the learning process that can contribute to the development of self-regulatory skills (Yu, Jiang & Zhou, 2020). The present article aims at providing insights about how online learners of German as a foreign language engage with written corrective feedback and co-construct meaning (Nicol, 2010). The eleven participants received two different types of corrective feedback: direct explicit feedback on one written assignment and indirect feedback using metalinguistic information and error categorization on the other. Upon receiving the feedback information, the learners were asked to carry out two screen-recorded thinkaloud protocols. This article reports on the data obtained through these protocols after conducting thematic analysis (Brown & Clarke, 2006). The results show how learners engaged with each feedback modality and reveal that the feedback-revision generated expression of self-regulatory actions such as reflection on their performance, evaluation and planning.
Potencial del fracturamiento hidráulico en el Ecuador: Estudio del caso Campo Guanta-Dureno
Authors: Chipantashi-Aneloa Edison Paúl
Published: December 2021

Ecuador es un país petrolero mayormente con campos maduros que presentan retos de producción tales como el depletamiento de la presión y taponamiento de los poros debido a la migración de arcillas y finos. Así, surge la necesidad de una estrategia de reducción o eliminación del daño de formación generado por este taponamiento. El propósito de la presente investigación fue determinar el potencial del fracturamiento hidráulico en el país, tomando como caso de estudio el Campo Guanta-Dureno. La metodología examinó todos los pozos del campo e incorporó la selección y evaluación económica de los mejores pozos candidatos, considerando escenarios de precios WTI. Las fases constaron de revisión de información como: estado actual de pozos, condiciones mecánicas, petrofísica, geología, presiones, producción, potencial de reservorios y análisis económico. Como resultado se obtuvo la selección y jerarquización de 7 pozos candidatos para fracturamiento, cuya posible aplicación en un período determinado se estimó en un incremento del 33.8% de la producción total del campo, alcanzando los 4720 bppd y condiciones de daño de formación después de las fracturas dentro de un rango de -3 y -5. Esta evidente mejoría en la producción, indica una alternativa económica confiable de reacondicionamiento. En conclusión, el fracturamiento hidráulico muestra un gran potencial de mejora de la producción para los campos petroleros en el Ecuador que presentan declinación, cuyos buenos resultados dependerán de un estudio amplio e integral de los pozos.
Responding to Business Succession Issues and Crises by Converting to Cooperatives
Authors: Vieta Marcelo Alejandro
Published: December 2021

Most of Canada’s 1.2 million small- and medium-sized enterprises (SMEs) have been affected by the pandemic, compounding serious issues facing Canada’s economy, including the potential for large-scale business closures due to the growing number of retirement-aged owners without a formal succession plan. One social economy option in Canada to save businesses and the jobs they provide is to sell them to employees or community members and convert them to cooperatives. The Conversion to Co-operatives Project set out to better understand business conversion to cooperatives (BCCs) in Canada and help the country’s co-op movement build BCC capacity. This article outlines the project’s key findings to date.
RÉSUMÉ
La pandémie a entraîné des conséquences sur la plupart des 1,2 millions de petites et moyennes entreprises au Canada, aggravant de sérieux problèmes pour l’économie du pays, y compris la possibilité de fermetures d’entreprises à grande échelle causées par le nombre croissant de propriétaires au seuil de la retraite qui n’ont aucun plan de relève. Au Canada, une option provenant de l’économie sociale pour sauver les entreprises et les emplois qu’elles fournissent serait de les vendre à des employés ou à des membres de la communauté et de les convertir en coopératives. Le Projet de conversion en coopératives a cherché à mieux comprendre la conversion d’entreprise en coopérative (CEC) au Canada et à aider le mouvement coopératif du pays à accroître la capacité en CEC. Cet article présente les données clés du projet à ce jour.
Effects of Positive Affirmation and Constructive Criticism on Student Writing and Success
Authors: Lunseth Hayley
Published: December 2021

Is it more helpful for an individual such as a teacher to provide a student with constructive criticism or positive affirmations in relation to their writing work? Which method is helpful in pushing the student to prosper and which can be detrimental when utilized inappropriately and ineffectively? Do positive affirmations provide students with a false sense of confidence with little knowledge of what they can improve upon or does constructive criticism dismantle the faith an individual has in their writing capabilities causing them to produce work that is not of their best quality? This paper explores both forms of feedback often employed by educators through the utilization of various research papers and sources to determine which method of response or assessment is most useful in order for a student to reach their full writing potential.
Three Attitudes Towards My Bilingual Writing
Authors: Tang Jiaxuan (Lillianna)
Published: December 2021

Assignment completed for WRS 101
My Rhetorical Situations and Discourse Communities
Authors: Kumar Rigvi
Published: December 2021

Article about discourse communities
Writing across a Pandemic
Authors: Bray Nancy , Chilewska Anna , Kumar Rigvi
Published: December 2021

Letter from the editors introducing Volume 2 of Writing across the University of Alberta.
Writing Processes
Authors: Grant Christina
Published: December 2021

Cartoon comparing the writing processes of undergraduate students and expert writers.
Evaluation of Water seepage Along Proposed Baghdad Metro Tunnel Across Tigris River
Authors: Hamid Aadil Abdulsalam , Husain Haitham Alaa
Published: December 2021

Water seepage can cause serious problems in geotechnical engineering especially for construction under the water level. Baghdad metro tunnel is one of the leading vital projects to solve the major problem of crowding roadways in a highly population increase city like Baghdad. In this study, the seepage rate that will flow toward different selected points along the tunnel section across Tigris River was calculated during the excavation process, with the consideration of three different water levels of River at maximum, moderate, and minimum water depths. A three-dimensional model of the study has been modeled using the finite element software (PLAXIS 3D V20). The water seepage was observed for six different locations on each route of the tunnel. The study showed that the change of water depth in the river has no significant effect on the seepage – time curve shape. However, increasing the water level in River from minimum to maximum leads to increase the seepage rate about 15%.
Klasifikasi Kualitas Biji Kopi Menggunakan MultilayerPerceptron Berbasis Fitur Warna LCH
Authors: Ilhamsyah Ilhamsyah , Rahman Aviv Yuniar , Istiadi Istiadi
Published: December 2021

Coffee is one of Indonesia's foreign exchange earners and plays an important role in the development of the plantation industry. In previous studies, coffee bean quality research has been carried out using the ANN method using color features. RGB and GLCM. However, the results carried out in the study only had an accuracy value of up to 47%. Therefore, this study aims to improve the performance of coffee bean quality classification using four machine learning methods and 7 color features. From the results obtained, it shows that MultilayerPerceptron is better starting with RGB color with an accuracy of 38% split ratio 90:10. HSV has an accuracy of 57% split ratio 90:10. CMYK has an accuracy of 63% split ratio 90:10. LAB has a 58% curation split ratio of 90:10. The YUV type has an accuracy of 58% split ratio 90:10. Furthermore, the HSI color type has an accuracy of 42% split ratio 90:10. The HCL color type has an accuracy of 65% split ratio 90:10 and LCH has an accuracy of 78% split ratio 90:10. In testing, it can be concluded that the MultilayerPerceptron method is better than other methods for the coffee bean classification process.
Raised Cosine Filter Implementation on Digital Video Broadcasting Satellite 2 (DVB-S2)
Authors: Rio Setiawan  , Haryatmi Emy
Published: December 2021

The development of digital video broadcasting is still continue recently and was done by many parties. One of the project regarding this research was DVB project. There was three areas in digital video broadcasting. One of them was Digital Video Broadcasting Satellite Second Generation (DVB-S2). The development of this project is not focus only in video broadcasting but also focus in applications and mutlimedia services. The objective of this research was to implement raised cosine filter in DVB-S2 using matlab simulink in order to optimize SNR and BER value. Parameters used in this project was QPSK mode and LDPC with 50 iteration. Those parameters was chosen to maintain originality of data that sent in noisy channel. The result showed that by implementing raised cosine filter could optimized BER value of the system. The higher SNR value would give the lower BER value. In static video, the best SNR value when using a filter is 0.9 dB with a BER value of 0.000004810 while for dynamic video the SNR is 0.9 with a BER value of 0.00001030.
Analisis Algoritma Shi-Tomasi Dalam Pengujian Citra Senyum Pada Wajah Manusia
Authors: Ardi wijaya  , Puji Rahayu  , Rozali Toyib
Published: December 2021

Problems in image processing to obtain the best smile are strongly influenced by the quality, background, position, and lighting, so it is very necessary to have an analysis by utilizing existing image processing algorithms to get a system that can make the best smile selection, then the Shi-Tomasi Algorithm is used. the algorithm that is commonly used to detect the corners of the smile region in facial images. The Shi-Tomasi angle calculation processes the image effectively from a target image in the edge detection ballistic test, then a corner point check is carried out on the estimation of translational parameters with a recreation test on the translational component to identify the cause of damage to the image, it is necessary to find the edge points to identify objects with remove noise in the image. The results of the test with the shi-Tomasi algorithm were used to detect a good smile from 20 samples of human facial images with each sample having 5 different smile images, with test data totaling 100 smile images, the success of the Shi-Tomasi Algorithm in detecting a good smile reached an accuracy value of 95% using the Confusion Matrix, Precision, Recall and Accuracy Methods.
Pengembangan Antarmuka Portal Universitas untuk Meningkatkan Pengalaman Pengguna
Authors: Arief Ikhwan , Muluk Asmuliardi , Indrapriyatna Ahmad Syafruddin , Falevy Mahira
Published: December 2021

Technology has been growing rapidly to help humans living their everyday life. Human, as the user interacts through an interface called user interface (UI), and the experience that the users are having is called user experience (UX). UI and UX are inseparable as a good user interface will result in a better user experience. Portal Unand is a web-based app that has all academic information for students. An initial survey was conducted to find out student’s thoughts on Portal Unand. Students have complaints towards Portal Unand due to its unresponsiveness, old-fashioned design, important features weren’t highlighted, etc. Hence, it reduced user experience in using Portal Unand. In this study, the redesign was done by using the design thinking. The study started from empathizing with the users until testing the prototype to the users by conducting usability testing. Usability testing was conducted by using Maze and System Usability Scale (SUS). The score of usability testing was 84 which fell into the high range. The SUS score was 83.33 which fell into grade A and acceptable category. As the new prototype managed to fulfill users’ needs and met users’ expectations, the prototype was usable and ready to be developed.
Detection of Chicken Egg Embryos using BW Image Segmentation and Edge Detection Methods
Authors: Saifullah Shoffan , Suryotomo Andiko Putro , Yuhefizar
Published: December 2021

This study aims to identify chicken egg embryos with the concept of image processing. This concept uses input and output in images. Thus the identification process, which was originally carried out using manual observation, was developed by computerization. Digital images are applied in identification by various image preprocessing, image segmentation, and edge detection methods. Based on these three methods, image processing has three processes: image grayscaling (convert to a grayscale image), image adjustment, and image enhancement. Image adjustment aims to clarify the image based on color correction. Meanwhile, image enhancement improves image quality, using histogram equalization (HE) and Contrast Limited Adaptive Histogram Equalization methods (CLAHE). Specifically for the image enhancement method, the CLAHE-HE combination is used for the improvement process. At the end of the process, the method used is edge detection. In this method, there is a comparison of various edge detection operators such as Roberts, Prewitt, Sobel, and canny. The results of edge detection using these four methods have the SSIM value respectively 0.9403; 0.9392; 0.9394; 0.9402. These results indicate that the SSIM values ​​of the four operators have the same or nearly the same value. Thus, the edge detection method can provide good edge detection results and be implemented because the SSIM value is close to 1.00 (more than 0.93). Image segmentation detected object (egg and embryo), and the continued process by edge detection showed clearly edge of egg and embryo.
Indonesian Online News Topics Classification using Word2Vec and K-Nearest Neighbor
Authors: Nur Ghaniaviyanto Ramadhan
Published: December 2021

News is information disseminated by newspapers, radio, television, the internet, and other media. According to the survey results, there are many news titles from various topics spread on the internet. This of course makes newsreaders have difficulty when they want to find the desired news topic to read. These problems can be solved by grouping or so-called classification. The classification process is carried out of course by using a computerized process. This study aims to classify several news topics in Indonesian language using the KNN classification model and word2vec to convert words into vectors which aim to facilitate the classification process. The use of KNN in this study also determines the optimal K value to be used. In addition to using the classification model, this study also uses a word embedding-based model, namely word2vec. The results obtained using the word2vec and KNN models have an accuracy of 89.2% with a value of K=7. The word2vec and KNN models are also superior to the support vector machine, logistic regression, and random forest classification models.
Numerical Approach of Symmetric Traveling Salesman Problem Using Simulated Annealing
Authors: Iryanto I , Gunawan Putu Harry
Published: December 2021

The aim of this paper is to elaborate the performance of Simulated Annealing (SA) algorithm for solving traveling salesmen problems. In this paper, SA algorithm is modified by using the interaction between outer and inner loop of algorithm. This algorithm produces low standard deviation and fast computational time compared with benchmark algorithms from several research papers. Here SA uses a certain probability as indicator for finding the best and worse solution. Moreover, the strategy of SA as cooling to temperature ratio is still given. Thirteen benchmark cases and thirteen square grid symmetric TSP are used to see the performance of the SA algorithm. It is shown that the SA algorithm has promising results in finding the best solution of the benchmark cases and the squared grid TSP with relative error 0 - 7.06% and 0 – 3.31%, respectively. Further, the SA algorithm also has good performance compared with the well-known metaheuristic algorithms in references.
On the Neural Network Solution of One-Dimensional Wave Problem
Authors: Ihsan Aditya Firman
Published: December 2021

Artificial neural network has become an emerging popular method to handle various problems, especially in case where it has deep multiple neural layers. In this study, we use a deep artificial neural network model to solve one-dimensional wave equation, without any external datasets. Different type of boundary conditions, i.e., Dirichlet, Neumann, and Robin, are used. We analyze the model learning capabilities in a set of settings, such as data setup and the model width and depth. We also present some discussions of advantages and disadvantages of the model in comparison with other matured existing techniques to solve wave equation.
Sistem Keamanan Gedung Menggunakan Kinect Xbox 360 Dengan Metode Skeletal Tracking
Authors: Hamdi Alchudri  , Zaini
Published: December 2021

The incidence of fire and theft is very threatening and causes disruption to people's lifestyles, both due to natural and human factors resulting in loss of life, damage to the environment, loss of property and property, and psychological impacts. The purpose of this study is to create a building security system using Kinect Xbox 360 which can be used to detect fires and loss of valuable objects. The data transmission method uses the Internet of Things (IoT) and skeletal tracking. Skeletal detection uses Arduino Uno which is connected to a fire sensor and Kinect to detect suspicious movements connected to a PC. Kinect uses biometric authentication to automatically enter user data by recognizing objects and detecting skeletons including height, facial features and shoulder length. The ADC (Analog to Digital Converter) value of the fire sensor reading has a range between 200-300. The fire sensor detects the presence of fire through optical data analysis containing ultraviolet, infrared or visual images of fire. The data generated by Kinect by detecting the recognition of the skeleton of the main point of the human body known as the skeleton, where the reading point is authenticated by Kinect from a range of 1.5-3 meters which is declared the optimal measurement, and if a fire occurs, the pump motor will spray water randomly. to extinguish the fire that is connected to the internet via the wifi module. The data displayed is in the form of a graph on the Thingspeak cloud server service. Notification of fire and theft information using the delivery system from input to database
Penerapan Convolutional Neural Networks untuk Mesin Penerjemah Bahasa Daerah Minangkabau Berbasis Gambar
Authors: Mayanda Mega Santoni  , Nurul Chamidah  , Desta Sandya Prasvita  , Helena Nurramdhani Irmanda  , Ria Astriratma  , Reza Amarta Prayoga
Published: December 2021

One of efforts by the Indonesian people to defend the country is to preserve and to maintain the regional languages. The current era of modernity makes the regional language image become old-fashioned, so that most them are no longer spoken.  If it is ignored, then there will be a cultural identity crisis that causes regional languages to be vulnerable to extinction. Technological developments can be used as a way to preserve regional languages. Digital image-based artificial intelligence technology using machine learning methods such as machine translation can be used to answer the problems. This research will use Deep Learning method, namely Convolutional Neural Networks (CNN). Data of this research were 1300 alphabetic images, 5000 text images and 200 vocabularies of Minangkabau regional language. Alphabetic image data is used for the formation of the CNN classification model. This model is used for text image recognition, the results of which will be translated into regional languages. The accuracy of the CNN model is 98.97%, while the accuracy for text image recognition (OCR) is 50.72%. This low accuracy is due to the failure of segmentation on the letters i and j. However, the translation accuracy increases after the implementation of the Leveinstan Distance algorithm which can correct text classification errors, with an accuracy value of 75.78%. Therefore, this research has succeeded in implementing the Convolutional Neural Networks (CNN) method in identifying text in text images and the Leveinstan Distance method in translating Indonesian text into regional language texts.
Implementasi BGP dan Resource Public Key Infrastructure menggunakan BIRD untuk Keamanan Routing
Authors: Pranaya Valen Brata , Wellem Theophilus
Published: December 2021

The validity of the routing advertisements sent by one router to another is essential for Internet connectivity. To perform routing exchanges between Autonomous Systems (AS) on the Internet, a protocol known as the Border Gateway Protocol (BGP) is used. One of the most common attacks on routers running BGP is prefix hijacking. This attack aims to disrupt connections between AS and divert routing to destinations that are not appropriate for crimes, such as fraud and data breach. One of the methods developed to prevent prefix hijacking is the Resource Public Key Infrastructure (RPKI). RPKI is a public key infrastructure (PKI) developed for BGP routing security on the Internet and can be used by routers to validate routing advertisements sent by their BGP peers. RPKI utilizes a digital certificate issued by the Certification Authority (CA) to validate the subnet in a routing advertisement. This study aims to implement BGP and RPKI using the Bird Internet Routing Daemon (BIRD). Simulation and implementation are carried out using the GNS3 simulator and a server that acts as the RPKI validator. Experiments were conducted using 4 AS, 7 routers, 1 server for BIRD, and 1 server for validators, and there were 26 invalid or unknown subnets advertised by 2 routers in the simulated topology. The experiment results show that the router can successfully validated the routing advertisement received from its BGP peer using RPKI. All invalid and unknown subnets are not forwarded to other routers in the AS where they are located such that route hijacking is prevented.
ON THE "SPIRIT" OF SPACE AND DESIGN IN ANIMATION MOVIES
Authors: Tekin Elvan
Published: December 2021

Mekân canlıların yalnızca içinde barındıkları bir alan olmamıştır hiçbir zaman. Canlıları dış etkenlerden saklamış, korumuş ve içinde yaşayanların, dışarıdan gelen saldırılardan sağ çıkmasını sağlamıştır. Mekânın koruma ve saklama
güdüsünün ötesinde yaşayanlara yuva olması, bu kavram içinde ailelerin kurulmasına izin vermesi mekâna kutsallık atfetmiştir. Gizlenmenin, içine almanın ve sığınmanın kutsallığı “mekân” kavramıyla ete kemiğe bürünmüştür. Elbette
ki bu kavramın ele alınış biçimi mekânın nasıl tasarlanacağı fikrini de beraberinde getirmiştir. Mekânın tasarımı, işlevselliği doğrultusunda gerçekleştirilmiş ve dinsel ritüelle, kültürel dokuyla, içinde bulunulan coğrafyayla
ve zamanın getirdiği teknolojiyle yoğrulduğu görülmüştür. Animasyonlarda yer alan mekân tasarımına dair algılamalar, izleyiciye gerçeklik duygusunu geçirmekte ve tasarım – mekân – zaman arasında güçlü bir bağ kurulmasını sağlamaktadır.
Bu çalışmayla birlikte; El Dorado Yolu, Herkül ve Mısır Prensi animasyonları mekân ve tarihi gerçeklik açısından karşılaştırılmış olup, mekânın tarihi gerçeklerle uygunluğu tespit edilmeye çalışılmıştır. Filmin konusuna, zamanın
uygunluğuna, karakterlerle iç içe geçişine ve mekânda yer alan görsel aktarımların, dokusal değerlerin gerçek ile olan bağlantısı gösterilmeye çalışılmıştır. Mekânda kullanılan öğelerin, detayların tasarım bütünlüğü açısından ele
alınmış olması bu tarz animasyonları daha iyi değerlendirmemizi sağlamakta, izleyicide yarattığı gerçeklikle izleyicinin hikâye içerisine dahil olmasını kolaylaştırmaktadır. Çalışmanın, animasyon ve tasarım alanlarında yer alan
profesyoneller ve öğrenciler için faydalı olması amaçlanmıştır.
A Review on the Applications of Reverse Enginnering in the Mechanical Enginnering
Authors: HASÇELİK Ahmet
Published: December 2021

Tersine mühendislik, bir parçanın üretim sürecini, geriye doğru gerçekleştirme işlemidir. Tersine mühendisliğin amacı, mevcut bir CAD modeli olmadan, 3D model oluşturmaktır. Tersine mühendislik; üreticinin herhangi bir sebeple elinde
bulunmayan, ürüne ait bilgisayar destekli tasarım modeline ulaşması için gerekli bir aşamadır. Bu çalışmada tersine mühendislik aşamaları anlatılmış ve makine mühendisliği alanındaki uygulamalarından bahsedilmiştir. Literatürdeki
çalışmalar incelenmiş ve bu alandaki çalışmalar derlenmiştir. Bu alanda sıklıkla karşılaşılan birkaç tersine mühendislik işlemi ile ilgili detaylı bilgi verilmiştir. Çalışmada genel olarak tersine mühendislik sürecinin anlaşılması
hedeflenmiş ve özellikle makine mühendisliği alanında, hangi durumlarda tersine mühendislik işlemine başvurulduğunun tespiti üzerinde durulmuştur. Böylece tersine mühendislik sürecinin makine sektöründe oldukça pratik ve verimli
bir seçenek olduğu gözler önüne serilmiştir.
Aklimatisasi dan Respon Pertumbuhan Mutan Leucaena Leucocephala Varietas Tarramba Teradaptasi Asam
Authors: Muhklisani  , Karti Panca Dewi Manuhara , Prihantoro Iwan
Published: January 2022

Acclimatization is the final stage of plant propagation in tissue culture techniques that can determine the success of the nursery process. This study aimed to observe the growth response during the acclimatization stage of the acid-adapted of Leucaena leucocephala Tarramba variety, which developed from tissue culture techniques. The design used in this study was a completely randomized design (CRD) with the cultivation of 11 mutant lines from tissue culture, namely M1-M11 (an acid-adapted mutant from tissue culture addition of 1 ppm IBA) and 2 controls (lamtoro broodstock without gamma irradiation) namely K0 (lamtoro broodstock resulting from tissue culture addition of 0 ppm IBA), K1 (breeding lamtoro from tissue culture addition of 1 ppm IBA). The variables observed were the level of plant viability, plant height, and number of leaves. The results showed that the acclimatization of the plant Leucaena leucocephala to tissue culture production on the M3 and M9 mutant lines gave the best response to plant morphological growth up to 5 WAP (weeks after planting).

Key words:        acclimatization, IBA hormone, Leucaena leucocephala, tissue culture
Institutional Analysis of Protection Forest Area Land Use Pattern in the North Bandung Area, Bandung Regency
Authors: Budiprakoso Bagus , Ichwandi Iin , Rusdiana Omo
Published: December 2021

Land use degradation has always been a problem for forest areas. Numerous past studies have investigated that there are patterns in the forest area's land use management that support forest sustainability and society's economy. This research aims to identify the action arena and patterns of interaction, to describe the outcomes of the two land use patterns, and to formulate the strategy related to forest area land use pattern in North Bandung Area, Bandung Regency. This research used Institutional analysis and development (IAD) framework as the research method. The identified action arena includes the pattern of commodity and profession transfer. The actors involved were State-owned Forest Enterprises (Perum Perhutani), Village Administrations, forest extensions, Forest Village Community Association (FVCA), and Forest and Farm Producers Organization (FFPO). The most dominating actor in land use activities in both patterns was Perum Perhutani, along with FVCA and FFPO. The pattern of interaction that exists between actors was prospering with only minor problems found within its coordination system. The outcome of the application of these two patterns, among others, is to raise public awareness in conserving forests and improving the community's economy. The land management strategy for forest areas can be directed using the Penta helix concept.
SELAGHIAN TRADITIONAL SANCTIONS UPON A PERSPECTIVE OF ISLAMIC LAW (Study on Serawai Community in Air Nipis District, South Bengkulu Regency)
Authors: Harnata Tendra , Andiko Toha
Published: December 2021

This study discusses the issue of the application of selaghian customary sanctions to the Serawai people of South Bengkulu as well as examines the opinion of Islamic law on these sanctions. This study uses a qualitative method with a descriptive normative legal approach, to unravel the facts found in the field (field research). Based on the data collected through observation and in-depth interviews in the field, it was found that the form of selaghian that is still being practiced is selaghian sebambangan, a type of selaghian performed by a couple (male and female) with both of them secretly running away from the house with no friends, going to the house of a local traditional leader, then being told by someone else to tell the couple’s parents, to pick up the couple and marry them off. Customs impose fines that vary according to the severity of the offense committed. In terms of Islamic law, the provision of customary sanctions in the form of ta’zir punishment is legal and may be carried out as a good custom (‘urf shahih) with the aim of causing a deterrent effect for the perpetrators (zawajir).