bluuebunny/crossref_metadata_2025 huggingface dataset:
FAKTOR-FAKTOR YANG MEMPENGARUHI PENDAPATAN PETANI KOPI DI KECAMATAN BINTANG KABUPATEN ACEH TENGAH (STUDI KASUS DESA WAKIL JALIL)
Authors: Fitri Juliana , Sari Cut Putri Mellita
Published: December 2021

Tujuan penelitian adalah untuk mengetahui Faktor-Faktor Yang Mempengaruhi Pendapatan Petani Kopi Di Kecamatan Bintang Kabupaten Aceh Tengah (Studi Kasus Desa Wakil Jalil), diantaranya variabel  luas lahan, tenaga kerja dan biaya produksi. Data yang dikumpulkan dalam penelitian ini adalah primer yang bersumber dari 94 responden. Metode penlitian menggunakan regresi linier berganda dengan bantuan Eviews 9. Hasil penelitian menunjukkan bahwa, secara parsial luas lahan, tenaga kerja dan biaya produksi berpengaruh positif terhadap pendapatan, secara serentak (bersama-sama) luas lahan, tenaga kerja dan biaya produksi juga berpengaruh terhadap pendapatan dan besarnya pengaruh sebesar 0,2398% (23,98%). Sedangkanyang dipengaruhi oleh variabel lin di luar model penelitian ini adalah sebesar 0,7602% (76,02%). Kata kunci : Luas lahan, Tenaga kerja dan biaya produksi, pendapatan
EFISIENSI TEKNIS USAHA TANI PADI DI DESA MEUNASAH PANTON LABU KECAMATAN TANAH JAMBO AYE KABUPATEN ACEH UTARA
Authors: Fhazira Mutia , Andriyani Devi
Published: December 2021

This study aims to analyze the technical efficiency of rice farming in Desa Meunasah Panton Labu, Tanah Jambo Aye Sub-district, North Aceh Regency. This study uses primary data obtained from the distribution of questionnaires to 50 respondents who are landowners and farmers in Desa Meunasah Panton Labu, Tanah Jambo Aye Sub-district, North Aceh Regency. This study used is the Purposive sampling method. Data Envelopment Analysis (DEA) is used to analysis the data. The results showed that the landowners were more technically efficient than sharecroppers where the number of farmers who had reached the level of efficiency as many as 19 respondents.
PENGARUH MODAL DAN TENAGA KERJA TERHADAP PRODUKSI AIR MINUM DALAM KEMASAN (AMDK) PADA PT. IMA MONTAZ SEJAHTERA KOTA LHOKSEUMAWE
Authors: Safira Safira , Juliansyah Hijri
Published: December 2021

Penelitian ini bertujuan untuk menganalisis pengaruh modal dan tenaga kerja terhadap produksi air minum dalam kemasan pada PT. Ima Montaz Sejahtera di Kota Lhokseumawe. Data yang digunakan adalah data sekunder dalam kurun waktu 60 bulan dari tahun 2012-2016. Metode analisis yang digunakan adalah analisis Regresi Liniear Berganda yang ditransformasikan ke bentuk logaritma. Hasil penelitian menunjukkan bahwa secara simultan modal dan tenaga kerja berpengaruh positif dan signifikan terhadap produksi air minum dalam kemasan pada PT. Ima Montaz Sejahtera di Kota Lhokseumawe, sedangkan secara individual modal berpengaruh positif dan signifikan sementara tenaga kerja  berpengaruh negatif dan signifikan.
FAKTOR-FAKTOR YANG MEMPENGARUHI LABA USAHA PETERNAKAN AYAMM BROILER DI KECAMATAN BANGUN PURBA KABUPATEN DELI SERDANG
Authors: Andriyani Devi , Lingga Jefri Pratama
Published: December 2021

Penelitian ini bertujuan untuk mengetahui pengaruh faktor-faktor yang mempengaruhi laba usaha peternakan ayam broiler di Kecamatan Bangun Purba Kabupaten Deli Serdang. data yang di gunakan dalam penelitian ini adalah data deskriptif kuantitatif, dimana telah dilakukan wawancara tanya jawab melalui penyebaran kuisioner terhadap responden, yaitu peternak ayam bloiler di Kecamatan Bangun Purba Kabupaten Deli Serdang, sebanyak 61 responden dengan menggunakan teknik stratified random sampling sebagai metode pengumpulan sampel penelitian. Kemudian menggunakan data sekunder dari pihak kedua (Dinas Pertanian) sebagai data observasi awal dalam penelitian ini. metode yang digunakan untuk mengetahui hubungan antara variabel independen dan variabel dependen adalah dengan metode regresi linear berganda selanjutnya hasil uji t menunjukan luas kandang, bibit dan pakan berpengaruh terhadap laba usaha peternakan ayam broiler, dan berdasarkan hasil uji f  berpengaruh secara kuat dan signifikan terhadap laba usaha peternakan ayam bloiler di Kecamatan Bangun Purba Kabupaten Deli Serdang.
ANALISIS FAKTOR-FAKTOR FUNDAMENTAL YANG MEMPENGARUHI PENDAPATAN NELAYAN DI GAMPONG UJONG BLANG KECAMATAN BANDA SAKTI KOTA LHOKSEUMAWE
Authors: Rizka Muhammad , Andriyani Devi
Published: December 2021

This study aims to determine the effect of education, age, experience and number of family members on fishermen income in Ujong Blang, Banda Sakti Sub-district, Lhoksemawe City. This study uses primary data obtained by distributing questionnaires to all respondents. The sample in this study is 96 respondents derived by using the Slovin formula. The data analysis method used is a multiple linear regression. The results partially showed that education and age have a positive and significant effect on income, but the experience and number of family members do not have a positive and significant effect on the income of fishermen in Ujong Blang, Banda Sakti Sub-district. Simultaneously, education, age, experience, and the number of family members have a positive and significant effect on the income of fishermen in Ujong Blang, Banda Sakti Sub-district, Lhoksemawe City.
PENINGKATAN PRODUKTIVITAS LAHAN DAN PENDAPATAN PETANI MELALUI PENGGUNAAN PUPUK ORGANIK DIDESA BLANG GURAH KECAMATAN KUTA MAKMUR KABUPATEN ACEH UTARA
Authors: Andriyani Devi , Juliansyah Hijri
Published: December 2021

Hasil Sensus Pertanian Badan Pusat Statistik (BPS) tahun 2019, pola penggunaan pupuk oleh petani padi di Indonesia hampir didominasi pupuk anorganik. Petani yang menggunakan pupuk anorganik 86,41 persen, sedangkan yang menggunakan pupuk berimbang (organik dan anorganik) 13,5 persen dan yang organik 0,07 persen. Ini menunjukan petani di Indonesia lebih tertarik menggunakan pupuk anorganik dibandingkan pupuk organic, tentu hal ini  menimbulkan banyak kerugian, mulai dari hilangnya kesuburan tanah, pencemaran air, pencemaran udara, perubahan iklim hingga merugikan kesehatan manusia yang mengkonsumsinya. Tujuan dari Pengabdian ini adalah memperkenalkan pupuk bioorganik yang mampu bekerja lebih efektif dalam meningkatkan produksi pertanian tanpa merugikan lingkungan, konsumen dan petani. Tanaman yang menggunakan pupuk organic juga lebih banyak diminati oleh konsumen dikarenakan tidak memberi dampak yang buruk terhadap kesehatan saat dikonsumsi, harga bahan pangan yang menggunakan pupuk organic juga lebih mahal dari bahan pangan yang menggunakan pupuk anorganik, Hal ini tentu akan memberi keuntungan dan penambahan pendapatan bagi petani. Dalam pelaksanaan pengabdian Pupuk bioorganic ini diracik oleh tim pengabdian, para petani dalam proses pengabdian ini diajarkan cara dan tekhnik peracikan serta pemakaian nya secara langsung melalui adanya lahan percobaan, Sehingga mereka dapat mengamati serta ikut secara langsung berperan dalam proses-proses pemakaian pupuk organic. Pengabdian ini telah memberi dampak secara langsung terhadap perubahan pola pikir petani untuk tetap menjaga keberlangsungan lingkungan, dan Penggunaan pupuk organic di lahan percobaan menunjukkan peningkatan output produksi tanpa merusak lingkungan dan tidak merusak kesehatan. Pengabdian ini telah menunjukkan strategi meningkatkan nilai jual produksi pertanian yang akan memberi keuntungan berupa peningkatan pendapatan bagi petani.
PENGARUH PRODUK DOMESTIK BRUTO, SUKU BUNGA, KURS TERHADAP NERACA PERDAGANGAN DI INDONESIA
Authors: Ati Hasni , Asnawi Asnawi
Published: December 2021

Penelitian dilakukan untuk mengetahui pengaruh Produk Domestic Bruto,  Suku Bunga, Kurs terhadap Neraca Perdagangan Indonesia. Data yang digunakan dalam penelitian data time series 1986-2016 yang diperoleh dari situs BPS Indonesia dan Bank Indonesia. Dari hasil penelitian menjelaskan bahwa Produk Domestik Bruto (PDB) tidak berpengaruh, suku bunga tidak berpengaruh sedangkan kurs berpengaruh positif dan signifikan terhadap neraca perdagangan di Indonesia.
FAKTOR-FAKTOR YANG MEMPENGARUHI PEMBERDAYAAN INDUSTRI KECIL MASYARAKAT DI KECAMATAN BAKTIYA KABUPATEN ACEH UTARA
Authors: Ulfa Shaleha , Juliansyah Hijri
Published: December 2021

Penelitian ini dilakukan untuk mengetahui pengaruh jumlah modal, lama usaha dan jumlah tenaga kerja terhadap pemberdayaan industri kecil di Kecamatan Baktiya Kabupaten Aceh Utara. Sampel dalam penelitian ini adalah sebanyak 61 orang pengusaha dengan metode pengambilan sampel secara sensus dan data dianalisis menggunakan model analisis regresi linier berganda menggunakan perangkat pengolah data Eviews. Dari hasil penelitian diperoleh bahwa modal berpengaruh signifikan terhadap pemberdayaan industri kecil di Kecamatan Baktiya. Lama usaha tidak berpengaruh signifikan terhadap pemberdayaan industri kecil di Kecamatan Baktiya. Tenaga kerja tidak berpengaruh signifikan terhadap pemberdayaan industri kecil di Kecamatan Baktiya.
ANALISIS DISPARITAS WILAYAH DI PROVINSI ACEH: TELAAH PADA DANA OTONOMI KHUSUS
Authors: Andriyani Devi , Juliansyah Hijri
Published: December 2021

The Special Autonomy (OTSUS) allocation policy for the Aceh Province is a source of revenue that is able to increase regional fiscal degrees. Based on Qanun (Perda) No. 10 of the new 2016 passed as amendments to Qanun No. 2 of 2008, the procedure for allocating and distributing OTSUS funds is given full authority to the Province. The concern that arises is that regional expenditure programs funded by OTSUS funds can create disparities in development between districts / cities. This study wants to identify the model of regional disparity in Aceh in terms of the OTSUS Aceh fund allocation policy. Specific research aims to determine the OTSUS fund allocation policy model that avoids disparity between districts / cities. The analysis model uses the formulation of theil index region disparity index which is then carried out multiple linear regression estimation panel data estimation. The results of the study indicate that the disparity in Aceh Province during the OTSUS period has decreased. Disparity is absorbed predominantly in the intra-region (within region) group in the South West, Middle East, and North East. The allocation of OTSUS funds has a significant impact in reducing regional disparity, both in time series and panel analysis. The results of the study concluded that the gap that occurred in Aceh Province was due to the weak factor in providing basic needs, such as education and health. Therefore, the management of OTSUS funds must be carried out precisely in improving aspects of education and health services in Aceh Province.
PENGARUH HARGA MINYAK DUNIA DAN SUKU BUNGA TERHADAP PERTUMBUHAN EKONOMI INDONESIA TAHUN 1987-2017
Authors: Yanti Ina , Ratna Ratna
Published: December 2021

This study aims to determine the effect of world oil prices and interest rates on the economic growth of Indonesia. The data used in this study is time-series data during1987-2017 obtained from Indonesia. (Energy Information Administration), Bank Indonesia, and the Central Bureau of Statistics. Data analysis methods use multiple linear regression and Vector Autoregression (VAR) models. The results of the study show that partially the world oil prices and interest rates have a significant and negative effect on the economic growth of Indonesia. Simultaneously, world oil prices and interest rates have a significant and positive effect on the economic growth of Indonesia. Furthermore, the results of testing the VAR analysis model indicate that world oil prices have a positive and significant effect on the economic growth of Indonesia, and interest rates have a positive and insignificant effect on the economic growth of Indonesia. It recommends that the government and all stakeholders must collaborate to reduce or eliminate the influence of shocks to global oil prices domestically and a concrete step that needs to be sought is to normalize the habits that used to be wasteful of fuel to save fuel.
ANALISIS PENGARUH SEKTOR PRODUKTIF TERHADAP KEMISKINAN DI KABUPATEN ACEH UTARA
Authors: Niara Ayu , Zulfa Andria
Published: December 2021

The purpose of this study was to determine the effect of the Agricultural Sector (X1) and the Processing Industry Sector (X2) on Poverty (Y) in North Aceh District. To achieve this goal this study uses secondary data in the form of time series in 2010-2016 which are sourced from the North Aceh Regency BPS. Methods of data analysis using Multiple Linear Regression. The results showed that partially stated that the previous year's poverty variable had a positive effect on poverty in North Aceh District, the agricultural sector variable had no effect and negative on poverty (Y) in North Aceh District and the processing industry sector variable had no significant and negative effect on poverty (Y) in North Aceh Regency.Taken together, the poverty variable of the previous year, Agricultural Sector variable (X1) and Processing Industry Sector (X2) had a significant effect on Poverty (Y) in North Aceh District..
PENGARUH JUMLAH UANG BEREDAR, INFLASI DAN NILAI TUKAR RUPIAH TERHADAP PENDAPATAN NASIONAL DI INDONESIA MENGGUNAKAN MODEL DINAMIS
Authors: Zakiah Zakiah , Usman Umaruddin
Published: December 2021

This study aims to determine the effect of the money supply, inflation and the rupiah exchange rate on national income in Indonesia. This study uses time series data from 1996-2017 obtained from www.bi.go.id, and www.bps.go.id. The tool used to analyze data is the Vector Autoregression Model (VAR) with the Impulse Respo Function (IRF). Based on research that uses the results of the VAR analysis model which shows that there is a unidirectional relationship between the variable money supply to national income and the unidirectional relationship between national income and the rupiah exchange rate. The results of the study with the analysis of the response response of the money supply took one year, the inflation variable took four years, and the exchange rate variable took three years to be stable after the shock caused by other variables in the study.
ANALISIS HUBUNGAN PENDAPATAN ASLI DAERAH,DANA ALOKASI UMUM, DANA ALOKASI KHUSUS, DANA BAGI HASIL, DAN SISA LEBIH PEMBIAYAAN ANGGARAN TERHADAP BELANJA MODAL DI KABUPATEN ACEH TENGGARA PERIODE TAHUN 2008-2017
Authors: Siburian Ernita Odilia , Juliansyah Hijri
Published: December 2021

This study aims to analyze the interrelation of Regional Own Revenue, General allocation fund, Specific Allocation Fund, Revenue Sharing Fund, and Financing Surplus toward Capital Expenditure Budget in Southheast Aceh’s regency. The data that used in this research was from secondary data of 2008-2017 year. Data was collected from BPKD southeast Aceh. The model of research analysis used Multivariate Vector Autoregression (VAR) with Impluse Reseponse Function (IRF) and Forecast Error Varian Decomposition (FEVD). The result of this research used the model of Multivariate Vector Autoregression’s analysis which showed that there was no interrelation (causality) between Regional Own Revenue toward Capital Expenditure and both of them were influenced each other.. The result of this research showed that there was contribution in each variable to its variable and others variable.
PROFITABILITAS, PELUANG PERTUMBUHAN, MODAL KERJA BERSIH SERTA DAMPAKNYA TERHADAP KEBIJAKAN PENAHANAN KAS PADA SEKTOR PERBANKAN YANG TERDAFTAR DI BURSA EFEK INDONESIA
Authors: Dianah Azimah , Fitria Ana , Amri Abrar , Desiana Rina
Published: December 2021

This research tests the effect of profitability, growth opportunity, and net working capital on corporate cash holding for a sample of banks company listed in Indonesian Stock Exchange over the period 2013-2015. Population of this research is 31 banks companies at the Indonesian Stock Exchange. This research use path analysis method. Hypothesis test of this research employs standardized multiple regression analysis. The result show that simultaneously profitablity, growth opportunity, and net working capital have influence enough to cash holding. While partially profitability has a positive influence enough to cash holding, growth opportunity and net working capital has a very weak negative effect on cash holding.
Pengaruh Upah Minimum Provinsi, Inflasi dan Jumlah Penduduk Terhadap Produk Domestik Regional Bruto di Provinsi Sumatera Utara
Authors: Saputri Yustia , Usman Umaruddin
Published: December 2021

This study aims to determine and analyze the influence of Provincial Minimum Wage, Inflation, and Total Population in North Sumatra Province. The data used in this study are secondary data for 19 years (2000-2018). The method of data analysis used is multiple linear regression with the help of Eviews 10. The results partially show that provincial minimum wage has a positive and significant effect on gross regional domestic products in North Sumatra province, inflation has a negative and insignificant effect on gross regional domestic products, and total population has a positive and insignificant effect on gross regional domestic products. Simultaneously, the provincial minimum wage, inflation, and total population have a positive and significant effect on gross regional domestic products.Keywords: Gross Regional Domestic Products, Provincial Minimum Wage, Inflation, and Total Population.
Pengaruh Dana Desa Dan Alokasi Dana Gampong Terhadap Kemiskinan Di Kecamatan Makmur Kabupaten Bireuen
Authors: Fitri Aida , Anwar Khairil
Published: December 2021

This study aims to determine how much Influence funds and village fund allocation have on poverty in Makmur District, Bireuen Regency. This study uses the panel data analysis method. Which is a combination of time-series data from 2015 to 2019, and a cross-section involving 27 villages and results in 135 observations. The results show that village funds have a negative and significant effect on poverty in the Makmur sub-district. Meanwhile, the allocation of village fund has no significant effect on poverty in the Makmur sub-district.Keywords:Village Fund, VillageFund Allocation, Poverty.
Autoregressive Distributed Lag Kurs Dan Ekspor Karet Remah Terhadap Pertumbuhan Ekonomi Indonesia
Authors: Nulhanuddin Nulhanuddin , Andriyani Devi
Published: December 2021

This study aims to determine the effect of short-term and long-term exchange rates and crumb rubber exports on the economic growth of Indonesia. The data used are secondary data for 39 years from 1980 to 2018 accessed on www.world.bank.wdi.data.bank.org, www.pertanian.go.id, www.bps.go.id, and www.bps.go.id. The data analysis method used is the Autoregressive Distributed Lag (ARDL) approach with the help of EViews 10 software. The results show that the economic growth is stationary at the level and exchange rate and exports of stationary crumb rubber at the first difference level and have cointegration in the long-term relationship. The test results in the short-term analysis of the exchange rate have a positive and significant effect, and exports have a positive but insignificant effect on economic growth, while in the long run, the exchange rate has a negative effect but insignificant, and exports have a positive but insignificant effect on the economic growth of Indonesia. Keywords:economic growth, exchange rates, exports and the ARDL approach.
Efisiensi Belanja Pemerintah Terhadap Indeks Pembangunan Manusia Secara Regional di Indonesia
Authors: Kurniawan Indra , Murtala Murtala , Juanda Reza
Published: December 2021

This study analyzed the efficient level for Government expenditure on the regional Human Development Index (HDI) in Indonesia in 2014-2018. This study used panel data with the number of DMUs in 34 provinces in Indonesia, while the input variable was government spending in the health, education, economy, social protection sectors, and the output variable was the human development index for 2014-2018. This study used Data Envelopment Analysis (DEA) testing and focused on input (input-oriented) by using the assumption of Variable Return to Scale (VRS). The results showed that only 14 provinces were efficient in using Government Expenditures to increase HDI, but 20 provinces were inefficient in using Government Expenditures to increase HDI. Thus it is hoped that all provinces, especially those who were inefficient, can improve their performance in the use of government expenditure budgets that have been used in increasing the HDI value and the government can make decisions or policies in the problem of achieving the HDI value for each province in Indonesia.
Analisis Daya Saing Ekspor Lada Juga Pengaruhnya Bagi Cadangan Devisa di 5 negara Pengekspor Utama Lada (Studi Kasus Indonesia, Malaysia, Vietnam, Brazil dan India)
Authors: Ramadhani Nuriman , Murtala Murtala , Nailufar Fanny , Yurina Yurina
Published: December 2021

This study aims to analyze the level of export competitiveness of pepper and its effect on foreign exchange reserves in the 5 main exporting countries of pepper (a case study in Indonesia, Malaysia, Vietnam, Brazil, and India). The analysis model used is Revealed Comparative Advantage (RCA) and the Panel Autoregressive Distributed Lag (PARDL) method. The results of the analysis in this study with the RCA index show that Vietnam is the largest exporter of pepper with an RCA index value of 1.2631, followed by Brazil with an RCA value of 1.136. For countries, Indonesia, Malaysia, and India still below average competitiveness and still have to increase their pepper exports. Furthermore, the analysis using PARDL shows that in the long term, the pepper export has a positive and significant effect on foreign exchange reserves with probability (0.000 <0.05), but the pepper export has no positive and insignificant effect on foreign exchange reserves with the probability of 0.3577> 0.05).
ANALISIS KURS DAN PRODUKSI TEKSTIL TERHADAP IMPOR TEKSTIL DI INDONESIA
Authors: Mauliza Mauliza , Andriyani Devi
Published: December 2021

This study aims to determine the effect of exchange rates and textile production on textile imports in Indonesia. The data used in this study are secondary data obtained from the Central Bureau of Statistics and Bank Indonesia from 2009 quarter 1 to 2018 quarter 4. The data analysis method used in this study is the Multiple Linear Regression analysis method. The results show that the exchange rate variables partially has a positive and significant effect on the volume of textile imports in Indonesia. Partially, production has a positive and significant effect on the volume of textile imports in Indonesia. Simultaneously,  the exchange rate and textile production have a positive and significant effect on the volume of imports of Indonesian textiles. The magnitude of the effect of exchange rates and production on textile imports is 0.627 (62.7%), while those influenced by other variables outside this model are 0.373 (37.3%).Keywords: textile imports, exchange rates, production
Application of Reconstruction Algorithms by Simulation Experiments for the Diagnosis of Breast Tumor-Like Tissues Modeled in Diffuse Optical Tomography
Authors: SEVİM Gençay , ÜNCÜ Yiğit Ali , CANPOLAT Murat
Published: December 2021

In Diffuse Optical Tomography (DOT), data processing and reconstruction stages are crucial to obtain high-quality images. Thus, choosing suitable algorithms for the system is a critical choice. This study aims to determine an appropriate reconstruction algorithm for DOT imaging. There are several reconstruction algorithms used in DOT systems. Some algorithms have been improved for solving specific cases, and some still need to be improved. In this study, we used three algorithms for the reconstruction process: Singular Value Decomposition (SVD), Bi-Conjugated Gradient (Bi-CG), and Transpose Free Quasi Minimal Residual (TFQMR). In testing the algorithms, data of the simulation experiments have been used. The simulation experiments model the tumoral tissue within the breast. All three algorithms were produced correct images while the tumor close to the surface. In the case of the tumor that is not close to the breast surface, the tumor location on the images created by Bi-CG and SVD algorithms was not its actual location. However, the tumor location in the image created by the TFQMR algorithm was close to its actual location. Outcomes of the reconstruction algorithms were evaluated based on correctly defining the location of the tumors by using Mean Percentage Error (MPE), Mean Squared Error (MSE), and Mean Absolute Error (MAE) metrics. We have demonstrated the TFQMR algorithm is a more appropriate reconstruction technique for DOT systems. Thus, we have concluded that TFQMR can have the potential to be used in medical imaging systems.
Writing medium’ s impact on memory: A comparison of paper vs. tablet
Authors: Lee Bradford J.
Published: December 2021

Studies comparing writing media typically compare different modes of writing (e.g., keyboard typing vs. writing, smartphone tapping vs. writing, etc.). The current study sought to investigate the cognitive outcomes of a more direct comparison: tablet- versus paper-based writing. Thirty-two speakers of L1 English were tasked with memorizing 20 Japanese kanji (stroke orders, Japanese readings, and English translations). Ten kanji were practiced (10 times each) on paper; the other 10 were practiced on an iPad. The kanji that were practiced on paper were more likely to be correctly translated into English at both the post- and delayed posttest, though Japanese scores were statistically equal. Of most intrigue was that while both groups were written with equal accuracy at the posttest, only the kanji practiced on paper showed a significant increase at the delayed posttest (after a period of 24 hours). The results of exit questionnaires indicated that the participants were divided on their preference of writing medium but were unanimous in their agreement that tablets should have a place in modern classrooms. One significant finding is that participants acknowledge the difficulty of tablet-based writing but conclude that what is necessary is more practice – not the avoidance or abandonment of the technology.
Aprovechamiento del gas asociado en plataformas petroleras, caso de estudio campo Sacha
Authors: Cusanguá-Cisneros Yessica Ximena , Sánchez-Moncayo Helen Marcela , Calva-Sánchez Lilian Marilyn , Salazar-Analuisa Bryan Andrés , Mantilla-Rivadeneira Atahualpa Vladimir
Published: December 2021

En la región amazónica del Ecuador en muchas plataformas petroleras el gas asociado no es aprovechado, quemándolo, suscitando problemas ambientales, conflictos socioambientales, pérdida de energía y emisiones no controladas de CO2. El objetivo del presente estudio fue aprovechar el gas para la generación de energía eléctrica de cualquier plataforma petrolera en la que se requiera realizar la optimización; el caso de estudio fue para el campo Sacha ubicado en la región Amazónica del Ecuador, mediante el cambio de parámetros operativos, para el manejo del gas desde una plataforma de producción hasta una estación central utilizando el sistema de levantamiento artificial disponible. Mediante la recopilación de información del yacimiento, diseño de equipos electrosumergibles instalados y facilidades de superficie; se establecieron dos escenarios de simulación, en el primer escenario se ajustaron diseños actuales de fondo y superficie en función de la presión requerida en cada plataforma; en el segundo escenario mediante sensibilidades de hidráulica, ajuste y rediseño de equipos electrosumergibles, se realizó la hidráulica definiendo el nuevo valor de presión necesaria en cada plataforma, y con este valor de presión se ajustó cada uno de los diseños de las bombas electrosumergibles. Para el gas proveniente por el espacio anular se consideró comprimirlo, redireccionándolo a la línea de producción con la nueva presión requerida. Al aprovechar el volumen de gas 2.006 MSCFD para un período de 6 años, se tendría un ahorro de $5’935.120 en generación eléctrica y por venta de bonos de carbono, dejando de emitir 241.121 Ton de CO2.
Aprovechamiento energético de la biomasa residual: caso de estudio de los restos de comida de familias de estudiantes de la Universidad de Guayaquil, para producción de biogás
Authors: Coello-Pisco Silvia Magdalena , Rodríguez-Gómez Benigno Antonio , González-Cañizalez Yomar Alexander , Hidalgo-Crespo José Armando
Published: December 2021

Este trabajo describe el potencial energético de cierto tipo de biomasa residual (restos de comida) que proviene de los hogares urbanos y que pueden ser utilizados como un recurso energético alternativo de energía limpia diferente a la actual dependencia de la energía fósil (gas GLP doméstico). El objetivo del estudio fue demostrar que el nivel de producción de biogás está determinado por la valorización energética del sustrato orgánico (restos de comida), el cual es viable para alimentar un dispositivo basado en fermentación metánica que sustituya a los actuales cilindros de gas doméstico de 15 kg. La aportación científica del artículo es el resultado de la investigación llevada a cabo mediante el diseño experimental al azar con 5 muestras de 196 hogares y 2 muestras de dos hogares independiente y su posterior análisis. Los parámetros que se midieron fueron: análisis físico, punto de fusión de ceniza, análisis elemental y contenido energético cuyas variables inciden en el proceso de conversión de biomasa a energía basados en métodos bioquímicos. En el contraste de hipótesis con otros tipos de RSU (resto de comida) no se encontraron diferencias significativas (p > 0.05). Finalmente, los resultados del poder calórico superior e inferior promedio son de: 3742.21 kcal/kg y 3309.68 kcal/kg mostrando un potencial energético adecuado para utilizar la biomasa residual como una alternativa válida al uso de nuevas fuentes de energía renovables, en proyectos de valorización o generación de combustible con tratamiento de fermentación metánica. El uso de biomasa orgánica urbana o de sus derivados puede considerarse nulo en términos de emisiones netas que no afectarán al medio ambiente o a la atmósfera.
Revisión acerca de biosensores basados en grafeno para la detección del SARSCOV- 2.
Authors: Mena-Lizano Daniel , Acurio Eliana , Pachacama-Choca Richard , Tubón-Usca Gabriela
Published: December 2021

Debido a la emergencia sanitaria producida por el SARS-CoV-2 que ha generado una pandemia, en este trabajo se propone una revisión sobre métodos desarrollados para la detección de Covid-19 basados en biosensores de grafeno, considerando sus propiedades fisicoquímicas. Esta investigación abarca una recopilación y análisis de información sobre biosensores en revistas de alto impacto en los últimos dos años. Para el desarrollo del estudio, se escogieron parámetros como: tiempo de detección, límite de detección, tipo de sensor, proteínas que detecta el biosensor, tipo de grafeno y costo, a fin de comprobar su efectividad. Los resultados analizados demuestran que la mayoría de biosensores funcionalizan el anticuerpo de la proteína S, N o una recombinación de ambas, y, algunos biosensores permiten la detección de hasta 4 tipos de proteínas (proteína reactiva C, IgG, IgM y nucleapside). Varios de los estudios analizados muestran una detección de secuencia especifica del virus y un bajo límite de detección (LOD) que va desde 0,1 fg/mL hasta a 1 fg/mL, lo que permite detectar SARS-CoV-2 a bajas concentraciones. El análisis indica una opción factible para la implementación de biosensores basados en grafeno como alternativa a las pruebas tradicionales.
Éduquer à la citoyenneté démocratique par l’innovation sociale : l’idéal de l’entrepreneuriat social remis en question
Authors: Mailhot Chantale , Stephanie Gaudet , Drapeau Émilie , Fuca Jose
Published: December 2021

Dans les projets éducationnels de l’entrepreneuriat social, il y de plus en plus de chevauchements entre les concepts d’entrepreneuriat et de citoyenneté. Dans cet article, nous avons analysé une expérience menée par un organisme sans but lucratif dont la mission est d’augmenter la participation citoyenne. Nous nous intéressons aux discours et aux outils dont il se sert dans sa formation en entrepreneuriat social. Notre objectif est de repérer les normes et valeurs sous- tendant la conception de citoyenneté transmise au cours de la formation. Nous montrons qu’il y a des tensions entre les objectifs de citoyenneté démocratique promus par l’organisme et le concept de citoyen sous-tendant la formation en en- trepreneuriat social. Notre contribution a deux facettes : 1) Nous enrichissons la littérature sur l’éducation pour une ci- toyenneté démocratique en analysant une nouvelle approche, celle de l’éducation en entrepreneuriat social; 2) Nous jetons un regard critique sur le concept d’entrepreneuriat social quand il est utilisé dans les formations à la citoyenneté démocratique en analysant cette pratique et en la situant dans le domaine de l’innovation sociale.
What Constitutes a New Nonprofit? Investigating Nonprofit Organizational Founding Dates
Authors: Levine Daniel Jamie , Andersson Fredrik
Published: December 2021

The question of when a new nonprofit is founded has not been pursued with sufficient precision. Specifically, a fundamental challenge facing any nonprofit researcher planning to detect, isolate, and analyze new nonprofits is that nonprofit founding is a process, not a discrete event. This study uses administrative data that includes three different founding indicators from more than 4,000 arts organizations, supplemented with survey data from 242 organizations, to illustrate some of the problems inherent in treating the founding process as one discrete event. It also elevates the voices of founders to demonstrate their conceptualization of the concept and offer insights into the multidimensionality of founding.
Revisiting the Mesopotamian City: a Drawing of its Inhabitants' Mental- Image
Authors: Al Ali Saba Sami
Published: December 2021

Mesopotamian cities were formed sometime during the fourth millennium BCE, and many of them continued to be inhabited as much as 3000 years. While urban characteristics of these cities has been extensively studied, the current article is concerned with exploring the inhabitants' daily experience in the city; a subject that has not been sufficiently explored despite its importance in urban studies. The objective is to expand the understanding of the relation between the ancient city and its occupants. The paper adopts the concept of the City Image as introduced in the seminal work of Kevin Lunch "Image of The City" in investigating aspects of the Mesopotamian city that qualifies it to form a strong mental Image for her citizens, derived from the legibility of its elements and the structure they form. Using a descriptive analytical method in reviewing previous literature, the research first clarifies the shared characters of Mesopotamian cities, and addresses the stature of the city in Mesopotamians' culture. I then specify the five urban elements of the city image as categorised by Lynch; paths, nodes, edges, districts and landmarks, in addition to addressing manifestations of the citizens' urban life in the Mesopotamian city. Afterward, visualization of the citizen's daily experience through the urban fabric of the city is provided, to arrive at a conclusion of the Legibility of the mental image of the Mesopotamian city in the perception of its citizens.
CPAP Hardware/Simulation and Control Design for Respiratory Disorders: A Review
Authors: Mikha Athraa Sabeeh , Aljobouri Hadeel K.
Published: December 2021

Continuous Positive Airway Pressure (CPAP) ventilation remains a mainstay treatment for different respiratory disorders. Good pressure stability and pressure reduction during exhalation are of major importance condition to ensure the clinical efficacy and comfort of CPAP therapy.  Obstructive Sleep Apnea (OSA) and today coronavirus (COVID-19) are the main two diseases mitigated by the CPAP. This paper introduced a systematic review of the CPAP design in terms of the hardware design, Simulation-based CPAP system, control algorithm, and the measured performance. The accuracy is used as measurement of performance and calculated from the pressure value. The accuracy was compared to the predefined U.S. Food and Drug Administration (FDA)-based threshold value in which it considers this value as a reference. The results related to the modern CPAP devices introduced in this study to explain the accuracy of experimental CPAP. These were compared with a commercial CPAP devices. Also, it was revealed how the results coincide with the error ratio defined by the FDA as an evaluation measurement. The FDA error ratio determines the performance of the optimized CPAP device. This work is the first review that presented the knowledge about engineering design of the CPAP system, so it will be the first in the literature.
Stability and Volumetric Properties of Colored Asphalt Mixtures Containing Iron Oxide
Authors: Naji Samer Ali , Abed Alaa H.
Published: December 2021

The objective of this paper is find the effect of using iron oxide as a filler on the Marshall stability, flow and the volumetric properties of HMA and compared the results with conventional HMA using limestone dust. Three blends were used: coarse, mid and fine with neat bitumen (AC 40-50). One aggregate type (crushed) with two types of fillers: limestone and iron oxide III (α- ) with three different filler content 6%, 8% and 10%. The Marshall mix design was conducted on the three blends and the optimum binder content is computed for each blend. The Marshall stability test results and the volumetric properties analysis showed that increasing the iron oxide content from 6% to 10%  increases the stability about 28%, 17% , 16% for the coarse , mid and fine mixtures respectively. This increment in stability of mixtures using iron oxide related to the increment in specific gravity of the mix (Gmb) by (1.3% to 1.5% about 30 to 50 kg/m3). On the other hand, the flow of mixtures is decreased about (5%) for mixes using iron oxide than the ones that used limestone as filler. The fine blend with 10% iron oxide exhibit the highest stability of 13.3 kN. While the coarse blend stability was 10 kN for the same filler type and content. Generally, the Marshall Test results of HMA using iron oxide as filler showed better resistance to plastic deformation, also produce denser HMA with higher stiffness. On the other hand, the volumetric properties analysis showed lesser values as compared with conventional mixture where the void in mineral aggregates and void filled with asphalt has decreased but within the acceptable limits.
Hate Speech Detection on Twitter in Indonesia with Feature Expansion Using GloVe
Authors: Febiana Anistya  , Erwin Budi Setiawan
Published: December 2021

Twitter is one of the popular social media to channel opinions in the form of criticism and suggestions. Criticism could be a form of hate speech if the criticism implies attacking something (an individual, race, or group). With the limit of 280 characters in a tweet, there is often a vocabulary mismatch due to abbreviations which can be solved with word embedding. This study utilizes feature expansion to reduce vocabulary mismatches in hate speech on Twitter containing Indonesian language by using Global Vectors (GloVe). Feature selection related to the best model is carried out using the Logistic Regression (LR), Random Forest (RF), and Artificial Neural Network (ANN) algorithms. The results show that the Random Forest model with 5.000 features and a combination of TF-IDF and Tweet corpus built with GloVe produce the best accuracy rate between the other models with an average of 88,59% accuracy score, which is 1,25% higher than the predetermined Baseline. The number of features used is proven to improve the performance of the system.
Analisis Hybrid Decision Support System dalam Penentuan Status Kelulusan Mahasiswa
Authors: Dodi Guswandi  , Musli Yanto  , M. Hafizh  , Liga Mayola
Published: December 2021

Determination of graduation status is often faced by lecturers in every university. The facts show that many of the decisions still have a fairly high error rate in determining graduation status. This study aims to develop an analytical model in the process of determining student graduation using the Hybrid Decision Support System (DSS). The methods used in the analysis process are Analytical Hierarchy Process (AHP) and Technique for Others Preference by Similarity to Ideal Solution (TOPSIS). The performance of AHP can determine the value of the weight criteria and TOPSIS performs rankings to produce solutions in determining. The criteria indicators used to consist of Depth (C1), Material Breadth (C2), Answer Accuracy (C3), Fluency of Answers (C4), Scientific Attitude (C5), Logical Consistency of Content (C6), Authenticity (C7), Scientific Quality ( C8), Language (C9), and Writing (C10). The results of this study indicate that the Analytical Hierarchy Process (AHP) method provides a weighting value for each criterion with a fairly good accuracy rate of 85,86%. These results conclude that each criterion has a consistent level of relationship in determining student graduation. Based on the output of the TOPSIS analysis, the results presented can determine the student's graduation status correctly and accurately.
Perbandingan Naïve Bayes, SVM, dan k-NN untuk Analisis Sentimen Gadget Berbasis Aspek
Authors: Iskandar Jessica Widyadhana , Nataliani Yessica
Published: December 2021

The Samsung Galaxy Z Flip 3 is one of the gadgets that are currently popular among the public because of its unique shape and features. Youtube is one of the social media that can be accessed and enjoyed by the public, one of which is gadget review content on the GadgetIn channel. Youtube can provide information, whether people accept or are interested in this new gadget or not. This study aims to determine the sentiment of a gadget producer. Based on the results of the analysis and testing that has been carried out on the Youtube comments of the Samsung Galaxy Z Flip 3 gadget with a total of 9,597 comments, more users gave positive opinions in the design aspect and negative opinions on the price, specifications and brand image aspects. By using the CRISP-DM model and comparing the Naïve Bayes (NB), Support Vector Machine (SVM), and k-Nearest Neighbor (k-NN) classification methods, it is proven that the SVM classification model shows the best results. The average accuracy of SVM is 96.43% seen from four aspects, namely the design aspect of 94.40%, the price aspect of 97.44%, the specification aspect of 96.22%, and the brand image aspect of 97.63%.
Perbandingan Metode CBR dan Dempster-Shafer pada Sistem Pakar Terintegrasi Layanan Kesehatan
Authors: Istiadi Istiadi , Emma Budi Sulistiarini  , Rudy Joegijantoro  , Affi Nizar Suksmawati
Published: December 2021

Infectious disease is a very dangerous disease with a high mortality rate. Delays in handling the spread of an infectious disease can be minimized using an expert system. This study uses an expert system as a disease consulting service that is integrated with the health care system. Integration with the health care system is used for the knowledge acquisition process. The knowledge base on the expert system uses patient medical record data obtained through the health care system. The expert system can diagnose infectious diseases of sore throat (Pharyngitis), diphtheria, dengue fever, Typhoid fever, tuberculosis, and leprosy. The knowledge acquisition process produces 43 symptoms. These symptoms are used to diagnose new cases using Case-Based Reasoning (CBR) and Dempster-Shafer methods. In the CBR method, the similarity measurement process is determined by comparing the K-Nearest Neighbor, Minkowski Distance, and 3W-Jaccard similarity measurement methods. The expert system obtains accuracy values ​​for the CBR K-Nearest Neighbor, CBR Minkowski Distance, and CBR 3W-Jaccard methods at a threshold of 70%, respectively 65.71%, 80%, and 85.71%. The average length of retrieve time required for each similarity method is 0.083s, 0.107s, and 6.325s, respectively. While the diagnosis of disease with Dempster-Shafer gets an accuracy value of 88.57%.
Telegram Bot as a Data Collection Tool for Progress Reports in Area Mapping Progress Monitoring System
Authors: Apriela Trirahma
Published: December 2021

In the Area Mapping Project (Preparation for the 2020 Population Census), there is monitoring and collecting data process on the progress of activities in the field. There are weaknesses in data collection on the progress of activities in the field; The manual recapitulation of progress reporting makes the progress data not displayed in real-time, the SMS Gateway is often interrupted, and progress data collection through the monitoring website is less effective if reported directly by field officers. Telegram Bot is used as a data collection tool for field progress reports on Area Mapping activities to overcome these weaknesses. This study aims to prove that Telegram Bot can be used as a real-time data collection tool, has good performance, and is acceptable to users. Telegram Bot is integrated with Monitoring Website into one system and database in this research. This system uses PHP, Yii2, and MySQL, and communication between the web server and Telegram Server uses the webhook method. Based on the Black Box test results, all functions in this system run as expected. The average bot response time was 7.72 seconds for images and 2.25 seconds for text data in the performance test. In the usability test, Telegram Bot obtained a SUS Score of 66 and an NPS of 12.195. These results show that Telegram Bot can be used as a real-time data collection tool, has good performance, and is well accepted by users.
Studi Literatur Human Activity Recognition (HAR) Menggunakan Sensor Inersia
Authors: Pradani Humaira Nur , Mahananto Faizal
Published: December 2021

Human activity recognition (HAR) is one of the topics that is being widely researched because of its diverse implementation in various fields such as health, construction, and UI / UX. As MEMS (Micro Electro Mechanical Systems) evolves, HAR data acquisition can be done more easily and efficiently using inertial sensors. Inertial sensor data processing for HAR requires a series of processes and a variety of techniques. This literature study aims to summarize the various approaches that have been used in existing research in building the HAR model. Published articles are collected from ScienceDirect, IEEE Xplore, and MDPI over the past five years (2017-2021). From the 38 studies identified, information extracted are the overview of the areas of HAR implementation, data acquisition, public datasets, pre-process methods, feature extraction approaches, feature selection methods, classification models, training scenarios, model performance, and research challenges in this topic. The analysis showed that there is still room to improve the performance of the HAR model. Therefore, future research on the topic of HAR using inertial sensors can focus on extracting and selecting more optimal features, considering the robustness level of the model, increasing the complexity of classified activities, and balancing accuracy with computation time.