bluuebunny/crossref_metadata_2025 huggingface dataset:
Faktor-Faktor Fundamental, Kondisi Makro Ekonomi dan Return Saham Perusahaan Pertambangan di Bursa Efek Indonesia
Authors: Sailendra Sailendra , Suratno Suratno
Published: March 2021

A B S T R A C T

The main goal is to get investors to invest a high return. The mining company is an industry sector that gives investors hope to get high returns because the sector is undergoing a lot of changes in regulation since 2008. The government has tried to protect the export of raw materials mining and requires employers to process before being exported. Macroeconomic conditions and fundamental factor is that many factors affect stock prices. This study aimed to prove the effect of fundamental factors and macroeconomic conditions toward stock returns on mining companies. The results showed that there are significant fundamental factors and macroeconomic conditions toward stock returns. Fundamental factors that affect the return is the ratio of price to book value, while the macro-economic conditions which proved to affect the return is inflation.

A B S T R A K

Tujuan utama investor berinvestasi adalah mendapatkan return yang tinggi. Perusahaan tambang merupakan sektor industri yang memberikan harapan investor untuk mendapatkan return tinggi karena sektor ini mengalami banyak perubahan regulasi sejak tahun 2008. Pemerintah berupaya memproteksi ekspor bahan mentah tambang dan mewajibkan pengusaha untuk mengolahnya sebelum diekspor. Kondisi ekonomi makro dan faktor fundamental merupakan faktor yang banyak mempengaruhi harga saham. Penelitian ini bertujuan untuk membuktikan pengaruh faktor fundamental dan kondisi ekonomi makro terhadap return saham pada perusahaan tambang. Hasil penelitian adalah terdapat pengaruh faktor fundamental dan kondisi ekonomi makro terhadap return saham. Faktor fundamental yang ditemukan berpengaruh adalah rasio price to book value, sedangkan kondisi ekonomi makro yang terbukti berpengaruh adalah inflasi.

JEL Classification: G14, F62
Determinan Price to Book Value Perusahaan Manufaktur
Authors: Abdurrakhman Abdurrakhman
Published: March 2021

A B S T R A C T

This study is aimed to test the influence of Current ratio (CR), Return on equity (ROE), Total assets turnover (TATO), and Size towards Price to book value (PBV). Samples are 114 firm firm years data of consumer goods listed companies in Indonesia Stock Exchange (IDX) during the period of 2006-2011 Analysis technique of data used multi linear regression of ordinary least square. This indicate that the available data has fulfilled the prerequisite to use multi-linier regression model. This research demonstrated that ROE and Size partially have significant influence towards the PBV. On the contrary, CR and TATO partially have no significant influence towards PBV. Simultaneously, CR, ROE, TATO, and the size has significant influence towards PBV of Consumer goods companies in IDX during the period of 2006.

A B S T R A K

Penelitian ini bertujuan untuk menguji pengaruh Rasio Current (CR), Return on equity (ROE), Total omset aset (TATO), dan Ukuran menuju Harga terhadap nilai buku (PBV). Sampel adalah 114 data tahun perusahaan consumer goods di Bursa Efek Indonesia (BEI) tercatat selama periode 2006-2011. Teknik analisis data menggunakan regresi linier multi biasa setidaknya persegi. Ini menunjukkan bahwa data yang tersedia telah memenuhi syarat untuk menggunakan model regresi multi-linier. Penelitian ini menunjukkan bahwa ROE dan Ukuran parsial memiliki pengaruh yang signifikan terhadap PBV. Sebaliknya, CR dan TATO sebagian tidak memiliki pengaruh yang signifikan terhadap PBV. Secara bersamaan, CR, ROE, TATO, dan ukuran memiliki pengaruh signifikan terhadap PBV perusahaan barang konsumen di BEI selama periode 2006.

JEL Classification: M40, O16
Return on Equity , Debt to Equity Ratio, Price Earning Ratio, Assets Growth, Inflasi dan Return Saham Perusahaan Property dan Real Estate
Authors: Budi Yulianti Eka , Suratno Suratno
Published: March 2021

A B S T R A C T

This paper aims to analyze return on equity, debt to equity ratio, price earning ratio, asset growth, and inflation on stock return on Property and Real Estate companies. Sample collection techniques in this study is purposive sampling to produce 25 samples property and real estate companies. The data required in this study were obtained from the Indonesian Capital Market Directory (ICMD, Indonesia Stock Exchange (IDX) and Bank Indonesia (BI). Data analysis method used is multiple linear regression using SPSS . The study concluded that simultaneous return on equity, debt to equity ratio, price earning ratio, asset growth, and inflation significant effect on stock return. While the partial test results show return on equity, price earning ratio, and inflation significant effect on stock return and debt to equity ratio and assets growth does not significantly affect the stock return .The results of this study indicate that the return on equity, price earning ratio, and inflation are used by investors to predict the stock return of property and real estate company listed on the Indonesia Stock Exchange 2007-2012 period.

A B S T R A K

Penelitian ini dilakukan untuk menguji return on equity , debt to equity ratio, price earning ratio, assets growth, dan inflasi terhadap return saham pada perusahaan property dan real estate. Teknik pengambilan Sampel dalam penelitian ini adalah purposive sampling sehingga menghasilkan 25 sampel perusahaan property dan real estate. Data yang diperlukan dalam penelitian ini diperoleh dari Indonesian Capital Market Directory (ICMD), Bursa Efek Indonesia (BEI) dan Bank Indonesia (BI). Metode analisis data yang digunakan adalah Regresi Linear Berganda dengan program SPSS. Hasil penelitian menyimpulkan bahwa secara simultan return on equity , debt to equity ratio, price earning ratio, assets growth, dan inflasi berpengaruh signifikan terhadap return saham. Sedangkan hasil pengujian secara parsial menunjukkan return on equity, price earning ratio, dan inflasi berpengaruh signifikan terhadap return saham dan debt to equity ratio dan assets growth tidak berpengaruh secara signifikan terhadap return saham.Hasil penelitian ini menunjukkan bahwa return on equity, price earning ratio, dan inflasi yang digunakan oleh investor untuk memprediksi return saham perusahaan Property dan Real Estate yang terdaftar di Bursa Efek Indonesia periode 2007-2012.

JEL Classification: G10, F62
Determinan Kepatuhan Pajak pada Industri Jasa Konstruksi
Authors: Purwono J.
Published: March 2021

A B S T R A C T

This study aims to determine the factors that affect tax compliance taxpayers and differences in tax revenue Income from the business sector construction services in Indonesia before and after the enactment of Government Regulation No. 51 Year 2008 on Income Tax on Income From Construction Services (PP51 / 2008) Nomo and Government Regulation 40 Year 2009 on Amendment of Government Regulation No. 51 Year 2008 on Income Tax on Income From Construction Services. Population of this research is the taxpayer company’s construction services business in Indonesia. Samples were analyzed 104 questionnaires. Determinants of tax compliance are lack of money, tax fairness perception, tax complexity, ignorance of tax due, and the probability of detected. The data quality test validity and reliability. Hypothesis testing is done to test structural models. The results showed that fairness in taxation, regulatory complexity, ignorance, and the possibility of disclosure of deviations is the deciding factor of tax compliance, while lack of money is not proven as a determinant of tax compliance.

A B S T R A K

Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi kepatuhan perpajakan Wajib Pajak dan perbedaan penerimaan Pajak Penghasilan dari sektor usaha jasa konstruksi di Indonesia sebelum dan sesudah diundangkannya Peraturan Pemerintah Nomor 51 Tahun 2008 Tentang Pajak Penghasilan Atas Penghasilan Dari Usaha Jasa Konstruksi (PP51/2008) dan Peraturan Pemerintah Nomo 40 Tahun 2009 Tentang Perubahan Peraturan Pemerintah Nomor 51 Tahun 2008 Tentang Pajak Penghasilan Atas Penghasilan Dari Usaha Jasa Konstruksi. Populasi penelitian adalah wajib pajak perusahaan usaha jasa konstruksi Indonesia yang tergabung pada GAPENSI, GAPENRI, AKLI dan AKI, Wilayah DKI Jakarta Raya.. Sampel dianalisis sebanyak 104 kuesioner. Faktor-faktor penentu kepatuhan terdiri lack of money, tax fairness perception, tax complexity, ignorance of tax due, dan probability of detected. Uji kualitas data dilakukan dengan uji validitas dan reliabilitas. Pengujian hipotesis dilakukan dengan uji model structural. Hasil penelitian menunjukkan bahwa keadilan di bidang perpajakan, kompleksitas peraturan, ketidakpedulian, dan kemungkinan terungkapnya penyimpangan merupakan faktor penentu kepatuhan perpajakan, sementara kekurangan uang tidak terbukti sebagai determinan kepatuhan pajak.

JEL Classification: H20, K34
Sumber Daya Manusia, Sistem Pengendalian Intern, Standar Akuntansi Pemerintahan dan Kualitas Laporan Keuangan
Authors: Mega Lestari Anita , Amilin Amilin
Published: March 2021

A B S T R A C T

This research aims to know influence of the human resource, internal control system and government accounting standard against the quality of financial report Information of the Ministry of National Education. Research is using survey methods. Respondents are budget planner, budget manager, financial report maker and internal control unit at the Ministry of National Education as many as 779 people, with sample 88 respondent. hypotheses testing use multiple linear regression. The result is human resources has positive and significant effect towards the quality of financial report, internal control system has positive but not significant effect toward the quality of financial report, government accounting standard has positive and significant effect toward the quality of financial report, of the Ministry of National Education. This also shows that there are synergies between human resources, internal control system, and government accounting standard to achieve the expected quality of financial report information of the Ministry of National Education.

A B S T R A K

Penelitian ini bertujuan untuk mengetahui pengaruh sumber daya manusia, sistem pengendalian internal dan standar akuntansi pemerintah terhadap kualitas Informasi laporan keuangan Kementerian Pendidikan Nasional. Penelitian ini menggunakan metode survei. Responden anggaran perencana, manajer anggaran, pembuat laporan keuangan dan unit kontrol internal Kementerian Pendidikan Nasional sebanyak 88 sampel pengujian responden. Pengujian hipotesis menggunakan regresi linier berganda. Hasil penelitian menunjukkan bahwa sumber daya manusia memiliki pengaruh positif terhadap kualitas laporan keuangan, sistem pengendalian intern berpengaruh positif tetapi tidak signifikan terhadap kualitas laporan keuangan, standar akuntansi pemerintahan berpengaruh positif dan signifikan terhadap kualitas laporan keuangan di Departemen Pendidikan Nasional. Hasil penelitian juga menunjukkan adanya sinergi antara sumber daya manusia, sistem pengendalian internal, dan standar akuntansi pemerintah untuk mencapai kualitas yang diharapkan dari laporan informasi keuangan dari Departemen Pendidikan Nasional.

JEL Classification: H53
Penerapan Self Assessment, Pengetahuan Wajib Pajak, Pemeriksaan Pajak dan pada Kepatuhan Wajib Pajak
Authors: Eliyah Eliyah , P. Ompusungu Arles , Hidayat Nur
Published: March 2021

A B S T R A C T

Taxpayer compliance is influenced by several factors such as the application of self assessment, knowledge taxpayer and tax audit. The purpose of this study was to determine the effect of the application of self assessment and knowledge taxpayer to tax audit and its impact on tax compliance. The population in this study is the taxpayer Hotel and Restaurant in South Jakarta Administration City Region for period 2008 – 2012. The sample used in this study were 200 Hotel and Restaurant taxpayer. Methods of data analysis and path analysis with the help of software Lisrel 8.51. Qualitative data were collected through a questionnaire was converted into interval data through the transformation of MSI so it can be analyzed statistically. Statistical tests using path analysis test value obtained on the first sub structure testing result that directly and indirectly influence the implementation of self assessment, knowledge taxpayer to tax audits by 38.20% with positive direction. The second sub structure testing result that directly and indirectly influence the implementation of self assessment, knowledge taxpayer and tax audits on tax compliance of 60.45% with positive direction.

A B S T R A K

Kepatuhan Wajib Pajak sangat dipengaruhi oleh beberapa faktor diantaranya adalah penerapan self assessment, pengetahuan wajib pajak dan pemeriksaan pajak. Tujuan penelitian ini untuk mengetahui pengaruh penerapan self assessment dan pengetahuan Wajib Pajak terhadap pemeriksaan pajak dan dampaknya pada kepatuhan Wajib Pajak. Populasi dalam penelitian ini adalah Wajib Pajak Hotel dan Restoran di Wilayah Kota Administrasi Jakarta Selatan untuk periode 2008-2012. Sampel yang digunakan dalam penelitian ini sebanyak 200 Wajib Pajak Hotel dan Restoran. Metode analisis data menggunakan analisis deskripsi dan analisis jalur (Path Analysis) dengan bantuan software Lisrel 8.51. Data kualitatif yang dikumpulkan melalui kuesioner dikonversi menjadi data interval melalui transformasi MSI sehingga dapat dianalisis secara statistik. Hasil pengujian statistik menggunakan path analysis (analisa jalur) diperoleh nilai pada pengujian sub struktur pertama yaitu pengaruh langsung maupun tidak langsung penerapan self assessment dan pengetahuan Wajib Pajak terhadap pemeriksaan pajak sebesar 38,20% dengan arah yang positif. Hasil pengujian sub struktur kedua yaitu pengaruh langsung dan tidak langsung penerapan self assessment, pengetahuan Wajib Pajak dan pemeriksaan.

JEL Classification: H26
Profitabilitas, Likuiditas, Leverage, Arus Kas Operasi dan Return Saham Syariah pada Perusahaan Jakarta Islamic Index
Authors: Wardani Sinta , Hermiyetti Hermiyetti , Yusuf Muhammad
Published: March 2021

ABSTRACT

This study aims to analyze and believe the factors that affect the return of sharia in the Jakarta Islamic Index. The sample of research is 29 companies with data from 2009-2015. Data analysis using multiple regression analysis. The results showed, liquidity and leverage is not significant significant to the return of sharia stocks. Operating cash flows are significant and positive against Sharia share returns. An interesting finding in this research is the role of operating cash flow as a determinant of stock returns. Future research can be proven the role of cash flow and other financial performance as a determinant of stock returns.

A B S T R A K

Penelitian ini bertujuan untuk menganalisis dan menguji secara empiris mengenai faktor-faktor yang mempengaruhi return saham syariah di Jakarta Islamic Index. Sampel penelitian sebanyak 29 perusahaan dengan data tahun 2009-2015. Analisis data menggunakan analisis regresi berganda. Hasil penelitian menunjukkan bahwa profitabilitas. likuiditas dan leverage tidak berpengaruh signifikan terhadap return saham syariah. Arus kas operasi berpengaruh signifikan dan positif terhadap return saham syariah. Temuan menarik dalam penelitian ini adalah peran arus kas operasi sebagai penentu return saham. Penelitian mendatang dapat dibuktikan peran arus kas investasi dan pendanaan serta kinerja keuanganlainnya sebagai penentu return saham.

JEL Classification: H54, R53
Kinerja Keuangan Badan Layanan Umum Rumah Sakit Se-Jabotabek
Authors: Sulaksono Sonny , Darmansyah Darmansyah
Published: March 2021

ABSTRACT

This study aims to identify and analyze the significant effect of cash ratio, receivable turn over, firm size on the financial performance proxyed by gross profit margin at General Hospital Service Agency located in Jakarta, Bogor, Tangerang and Bekasi. This research method using quantitative analysis method with secondary data retrieval, obtained from financial report data of hospital of Public Service Agency in Jabotabek area year 2013-2015 which measured by using ratio scale. The results of this study show that cash ratio partially does not affect significantly to gross profit margin, and the frequency of cash ratio movement that occurs partially has no impact on gross profit margin. Receivable turn-over is partially significant to gross profit margin, and the frequency of partially receivable turnover movements will have an impact on gross profit margin. Firm Size partially significant effect on gross profit margin, and firm size changes that occur partially impact on gross profit margin generated.

ABSTRAK

Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis pengaruh signifikan cash ratio, receivable turn over, firm size terhadap kinerja keuangan yang diproksikan oleh gross profit margin pada Rumah Sakit Badan Layanan Umum yang berlokasi di wilayah Jakarta, Bogor, Tangerang dan Bekasi. Metode penelitian ini menggunakan metode analisis kuantitatif dengan pengambilan data sekunder, diperoleh dari data laporan keuangan rumah sakit Badan Layanan Umum di wilayah Jabotabek tahun 2013-2015 yang diukur dengan menggunakan skala rasio. Hasil penelitian ini menunjukkan cash ratio secara parsial tidak berpengaruh secara signifikan terhadap gross profit margin, dan frekuensi atas pergerakan cash ratio yang terjadi secara parsial tidak berdampak apapun terhadap gross profit margin. Receivable turn-over secara parsial berpengaruh secara signifkan terhadap gross profit margin, dan frekuensi pergerakan Receivable turn-over yang terjadi secara parsial akan berdampak pada gross profit margin. Firm Size secara parsial berpengaruh secara signifikan terhadap gross profit margin, dan perubahan firm size yang terjadi secara parsial berdampak terhadap gross profit margin yang dihasilkan.

JEL Classification: H83, I18, L25
Intermolecular interactions between sol–gel-derived random-structure oligomeric silsesquioxanes and a diazonaphthoquinone derivative
Authors: Suwa Mitsuhito , Kamogawa Masao , Fujii Manami , Nishiyama Takuya , Kozuka Hiromitsu
Published: March 2021

Oligomeric silsesquioxanes (Oligo-SQs) with random structures featuring phenyl (Ph) groups or both Ph and methyl (Me) groups as their substituents were synthesized by the sol–gel method. The ratio of Ph and Me groups controlled the molecular weights and branching in the Oligo-SQs. Branching increased as the molecular weight increased (when the alkaline dissolution rates of all Oligo-SQs adjusted to ∼40 nm s−1). A diazonaphthoquinone (DNQ) derivative was added to the Oligo-SQs to impart positive photosensitivity. A Ph content ratio of over 50 mol% was found to be necessary for the Oligo-SQs to exhibit DNQ compatibility and good patterning performance. Infrared absorption spectroscopy analysis and density functional theory calculations indicated the formation of novel aromatic siloxane DNQ aggregates upon hydrogen bonding between hydroxyl group domains in the Oligo-SQ (formed by hydroxyl groups bonded to Si on adjacent Ph moieties) and the DNQ derivative, which adopts only one of its possible resonance structures.
Consumers' purchase behavior in Bangladesh: green products perspectives
Authors:   MBA Student, Department of Marketing, Comilla University, Comilla-3506, Bangladesh, Uddin Burhan
Published: March 2021

Purpose: This study aimed to identify the influential aspects of consumers' purchase behavior of green products perspectives in Bangladesh. Research methodology: The study was quantitative in nature. The main methodology chosen for this study was the questionnaire survey method (online survey). Primary data were gained through a structured questionnaire survey from 324 Bangladeshi respondents using a seven-point Likert scale from strongly disagree to strongly agree. Data were analyzed by statistical package for social science (SPSS) 25.0. Results: The study results found all the variables are significant with Consumers' green purchase behavior in Bangladesh. As the interpretation of descriptive and regression analyses, Environmental consciousness is the most influential factor in Consumers' green purchase behavior in Bangladesh. Other independent variables like Environmental Responsibility, Environmental Knowledge, Product Quality, Environmental Protection, Social Appeal, Green Advertisement also have positive & significant influences respectively. Limitation: The research was conducted & focused on Bangladesh only, so the study result may not be applicable in any other geographical location. The study was also limited by the sample size of 324 which is not representative of all customers in Bangladesh. There may have other variables except for the variables that are measured in this research. Contribution: The result and analyses of the study will be supportive for the researchers, government, marketing specialist, and business people to gain an insight into Consumers' green buying behavior in Bangladesh and direct them to find out other significant factors related to Consumers' green purchase behavior so that they can formulate their strategies & policies regarding environmental and consumption issues. Keywords: Green product, Green purchase, Consumer behavior, Sustainable product, Environmentally friendly, Green marketing
Coronavirus pandemic and its impacts on the world’s economy
Authors:   Gomal University, Dera Ismail Khan, Pakistan, Suleman Nasir Muhammad , Qayyum Ahsan Muhammad ,   Lahore University of Management Sciences (LUMS), Lahore, Pakistan
Published: March 2021

Purpose: This study is about the coronavirus pandemic and its long-lasting impacts on the world economy. The study's main purpose is to highlight the adverse effects of the Coronavirus on the world's economy and how to mitigate it. Research Methodology: An analytical and descriptive research methodology was conducted to get findings and recommendations. Original material is obtained from primary sources. Information is also taken from books on websites and previous articles on the subject. Results: Precautions and impacts are presented, followed by the recommendations to diminish the effects of Coronavirus. Limitations: The impacts of Coronavirus are not limited to developing countries, but this study has given less focus to developed countries. Contribution: This study is helpful to understand the impacts and redefine the course of actions accordingly. Keywords: Covid-19, Symptoms, Precautions, Economic effect
Rancangan Atap Otomatis Menggunakan Energi Surya Dengan Sensor LDR Berbasis IoT
Authors: Mahesa Nizam Bayu
Published: March 2021

Cuaca yang ada di Indonesia sangat sering mengalami perubahan yang tidak tentu. Sehingga, sulit untuk memprediksi cuaca hujan dan cerah di Indonesia. Cuaca sangat berperan penting pada industri ikan asin, salah satunya dalam hal pengeringan ikan. Pokok permasalahan yang ada apabila turun hujan secara tiba-tiba, dimana pekerja harus mengangkut ikan supaya tidak terkena air hujan. Proses ini sangat kurang efektif dari segi waktu ataupun tenaga. Pada penelitian kali ini akan dirancang sistem untuk membuat alat pengendali atap secara otomatis. Alat tersebut menggunakan mikrokontroler ditambah dengan sensor LDR, yang dimana ketika sensor tidak menerima cahaya matahari maka sensor LDR menerjemahkan bahwa akan hujan, dan kemudian atap akan tertutup secara otomatis. Ketika sensor menerima cahaya matahari maka sensor LDR akan menerjemahkan bahwa keadaan sekitar sedang panas, kemudian atap akan terbuka secara otomatis. Sensor LDR akan mengirimkan data ke ESP8266 yang kemudian data akan dikirimkan ke ThingSpeak berupa data intensitas cahaya dan ESP8266 akan memerintah motor servo untuk menggerakkan atap. Dalam penelitian ini, apabila intesitas cahaya yang masuk kedalam sensor lebih dari 500, maka motor servo akan bergerak kemudian atap akan terbuka dan jikalau intensitas cahaya yang masuk kurang dari 450, maka motor servo akan bergerak untuk menutup atap. Penulis menggunakan mikrokontroler sebagai pengendali atap otomatis. Untuk membuat rancangan alat tersebut penulis membuat prototype atap otomatis menggunakan sensor LDR berbasis mikrokontroler ditambah dengan motor servo.
Analisis Sistem Informasi Berbasis Cobit 5 (Studi Kasus : LTC UKSW)
Authors: FARERA MESSAKH NOVIAN STEVEN
Published: March 2021

Penerapan TI di suatu perusahaan merupakan kerangka kerja yang dapat meningkatkan keuntungan organisasi. TI harus dikelola dengan baik untuk menghasilkan manfaat yang ditargetkan. LTC merupakan organisasi yang menggunakan Cobit 5 sebagai alat untuk mengelola tujuan bisnis terkait tata kelola TI yang ada. Tata kelola membutuhkan analisis untuk mengevaluasi, menilai kematangan dan membuat rekomendasi. LTC belum mengevaluasi tata kelola TI yang ada, sehingga LTC tidak memiliki kerangka kerja untuk dapat mengetahui kondisi, manfaat dan dampak dari penerapan TI yang sudah dijalankan. Cobit 5 merupakan kerangka kerja keseluruhan yang komprehensif, karena itu dapat disesuaikan dengan tata kelola yang ada di LTC. Domain pada Cobit 5 yang difokuskan penulis adalah "Delivery, Service and Support (DSS)". Domain tersebut berfokus dengan evaluasi layanan TI dan mendukung berjalannya proses bisnis organisasi, serta pengendalian jangka panjang proses bisnis, evaluasi, dan proses perencanaan.. Hasilnya menunjukan bahwa proses yang diukur yaitu pada DSS 1, DSS 2, DSS 3, DSS 4 dan DSS 5, DSS 6 berada pada level 1 (Performed Process) menunjukkan bahwa proses telah dijalankan pada level ini dan tujuan proses telah tercapai. Setiap proses subdomain diberikan rekomendasi perbaikan yang nantinya bisa mempengaruhi tingkat kematangan saat ini untuk menuju tingkat perbaikan dan sampai pada kematangan yang ingin dicapai.
Pengaruh Kepuasan Pengguna Aplikasi Belanja Online Berbasis Mobile Menggunakan Metode EUCS
Authors: Kurniasih Indah , Pibriana Desi
Published: March 2021

Internet merupakan salah satu media yang dapat digunakan sebagai media pemasaran suatu usaha. Internet tidak pernah luput dari perkembangan teknologi yang saat ini telah mengalami peningkatan yang sangat pesat, salah satunya perkembangan teknologi di bidang perdagangan. Dalam dunia perdagangan terdapat istilah e-commerce atau perdagangan secara elektronik. Pengguna   pada   dasarnya   akan   melakukan   penilaian   dalam   setiap   transaksi   yang dilakukannya,  baik  itu  transaksi  konvensional  maupun  transaksi digital.  Semakin  baik  layanan yang diberikan oleh penyedia jasa, maka semakin besar kemungkinan pengguna untuk kembali menggunakan layanan tersebut artinya pengguna merasa puas menggunakan aplikasi tersebut. Penelitian ini membahas mengenai kepuasan pengguna aplikasi belanja online PT. ABC International Indonesia. Analisis kepuasan pengguna diukur menggunakan metode End user computing satisfaction (EUCS) yang terdiri dari 5 faktor, yaitu: content, accuracy, format, ease of use, dan timeliness. Pengumpulan data dilakukan melalui kuesioner yang diisi oleh pengguna layanan aplikasi belanja online PT. ABC International Indonesia. Untuk mengolah data yang didapat dari hasil kuesioner menggunakan software SPSS. Dari analisis yang dilakukan, menunjukkan variabel  content, accuracy, format, ease of use dan timeliness yang diajukan semua hipotesis diterima. Sedangkan berdasarkan uji F menunjukkan variabel content, accuracy, format, ease of use dan timeliness secara simultan berpengaruh terhadap kepuasan pengguna aplikasi belanja online.
La bolsa o la vida en contexto de pandemia: reflexión a propósito del malestar social y el papel de la psicología
Authors:   Universidad de San Buenaventura Cali, Quintero Torres John Alexander
Published: March 2021

Las medidas implementadas a propósito del COVID-19 han desencadenado una doble crisis. Por un lado, está la sensación de vulnerabilidad que provoca en la mayoría de las personas un virus que ha mostrado la capacidad de arrebatar la vida sin discriminar edad, género, etnia o condición socioeconómica. Por otro lado, ha quedado al descubierto la fragilidad de las seguridades sobre las cuales han reposado las prácticas habituales que organizan nuestra vida social en sus distintos ámbitos: el mundo del trabajo, el financiero, las dinámicas económicas, las relaciones familiares e interpersonales en general. Ambos desdoblamientos han sido intersectados por un discurso intimidante acerca del colapso que podríamos experimentar como sociedad, en caso de no adaptarnos a los efectos inevitables del virus y flexibilizar las medidas restrictivas del aislamiento en función de una pronta activación de las actividades productivas que dan vida a la economía.
Entre indiferentes, incrédulos, angustiados y cínicos: algunos discursos alrededor de la pandemia
Authors:   Universidad Cooperativa de Colombia, Reyes Sevillano Wilmar Hernán
Published: March 2021

Los tiempos de crisis desnudan la naturaleza de las representaciones sociales construidas a propósito de los diferentes fenómenos que animan la cotidianidad. Los imaginarios respecto a la salud y la enfermedad no escapan a la interrogación, de hecho, es normal que en medio de una crisis como la actual, debido al COVID-19, ambas sean interpeladas no solo en su dimensión más objetiva, referente a los servicios sanitarios y los procesos burocráticos que entrañan, sino, además, en lo que atañe a estas como experiencias de orden subjetivo.
Salud mental y subjetividad: pensando el mundo universitario pospandemia
Authors:   Universidade Federal do Tocantins, Patiño Torres José Fernando
Published: March 2021

El objetivo central de esta propuesta es poner en consideración algunas reflexiones sobre cómo será la universidad pospandemia, luego de los cambios vertiginosos ocurridos a partir del COVID-19. El recorte ontológico está puesto en la interfase entre salud mental y educación universitaria, a partir de un ejercicio de “futurología” sobre los posibles aspectos y desafíos que enfrentarán las instituciones de educación superior luego de la pandemia. Estas reflexiones están inspiradas en la Teoría de la Subjetividad y la Epistemología Cualitativa creada por González Rey (2012a; 2012b; 2014; 2016; 2017; 2019); González Rey y Mitjáns Martínez, (2017; 2016); González Rey y Patiño Torres, (2017); Patiño y Goulart, (2020), Patiño y Goulart, (2016), perspectiva que estudia la unidad simbólico/emocional subyacente en las tramas de vida de las personas, grupos y colectivos.
Caracterización de bacterias aisladas en un reservorio de agua en venezuela. Una aproximación a la multirresistencia bacteriana en ambientes naturales
Authors:   MedInstill Development LLC, Andreas Toba Faustino , Falco Aura ,   Universidad Santiago de Cali, Aranaga Carlos Andrés ,   Universidad Santiago de Cali, Alonso Guillermina ,   Universidad Central de Venezuela
Published: March 2021

La contaminación de aguas por descargas de materia orgánica representa un problema de salud pública debido a que favorece la selección de bacterias resistentes a antimicrobianos. A nivel mundial se están realizando estudios de epidemiología molecular para detectar la incidencia de bacterias con resistencias múltiples. En Venezuela, son pocos las investigaciones que caracterizan microbiológicamente los cuerpos de agua. El embalse Pao-Cachinche, ubicado en el centro-norte de Venezuela, es utilizado para suministrar agua potable a las ciudades cercanas, así como para actividades agrícolas. Se realizó el análisis de la presencia e identificación de bacterias, con tomas de muestras durante temporadas de lluvias y sequía, encontrándose que el género predominante fue Pseudomonas. Se realizaron pruebas de susceptibilidad antimicrobiana a los aislados, detectándose patrones complejos de resistencia a antibióticos y a metales pesados. Dada la relación que existe entre la multirresistencia y la presencia de plásmidos, se determinó la presencia de éstos y su capacidad de transferencia a través del proceso de conjugación y transformación. En conjunto los resultados sugieren que la población bacteriana que habita en este reservorio de agua presenta plásmidos, los cuales codifican para resistencia a diversos agentes antimicrobianos, que potencialmente pueden diseminar los marcadores que codifican.
Validación de métodos microbiológicos para cuantificar salmonella spp, presente en aguas tratadas con fotofenton
Authors:   Universidad Santiago de Cali, Rivera Sánchez Sandra Patricia , Flórez Liliana ,   Fundación Valle del Lili, Sanabria Janeth ,   Universidad del Valle
Published: March 2021

Los procesos avanzados de desinfección de aguas han arrojado resultados prometedores al ser evaluados utilizando el indicador bacteriano Escherichia coli (E. coli). Sin embargo, también se ha demostrado que E. coli es menos resistente a la desinfección que otras bacterias entéricas como Salmonella spp. Este estudio pro-pone evaluar la efectividad de las técnicas recuento en placa y NMP frente al gold estándar DVC-FISH para la cuantificación de Salmonella sp., presente en aguas artificiales tratadas mediante el proceso de desinfección foto-fenton. Para el estudio, se realizaron pruebas diagnósticas donde se calculó la sensibilidad, especificidad y valores predictivos. Se observó que el método tradicional recuento en placa y NMP, tienen una mayor sensibilidad cuando hay alta concentración bacteriana. Sin embargo cuando se tiene a una dilución 10-2, la sen-ibilidad es del 51% con la técnica recuento en placa y del 100% con la técnica NMP. En conclusión, el proceso de desinfección con Foto-fenton, las bacterias no lograron ser inactivadas o inhibidas total-mente, debido a que presentaron daños reversibles que las hacen viables no cultivables en los métodos de recuento en placa presentando altos falsos negativos, pero en medios líquido como el método NMP se hizo cuantificable al tener bajas concentraciones de la bacteria.
Role of Prognostics in Support of Integrated Risk-based Engineering in Nuclear Power Plant Safety
Authors: Varde P.V. , Pecht Michael G.
Published: March 2021

There is a growing trend in applying a prognostics and health management approach to engineering systems in general and space and aviation systems in particular. This paper reviews the role of prognostics and health management approach in support of integrated risk-based applications to nuclear power plants, like risk-based in-service inspection, technical specification optimization, maintenance optimization, etc. The review involves a survey of the state-of-art technologies in prognostics and health management and an exploration of its role in support of integrated risk-based engineering and how the technology can be adopted to realize enhanced safety and operational performance. An integrated risk-based engineering framework for nuclear power plants has been proposed, where probabilistic risk assessment plays the role of identification, prioritization and optimization of systems, structures, and components, while deterministic assessment is performed using a prognostics and health management approach. Keeping in view the requirements of structural reliability assessment, the paper also proposes essential features of a ‘Mechanics-of-Failure’ approach in support of integrated risk-based engineering. The performance criteria used in prognostics and health management has been adopted to meet requirements of risk-based applications.
Development of a Mobile Robot Test Platform and Methods for Validation of Prognostics-Enabled Decision Making Algorithms
Authors: Balaban Edward , Narasimhan Sriram , Daigle Matthew J. , Roychoudhury Indranil , Sweet Adam , Bond Christopher , Celaya Jos´e R. , Gorospe George
Published: March 2021

As fault diagnosis and prognosis systems in aerospace applications become more capable, the ability to utilize information supplied by them becomes increasingly important. While certain types of vehicle health data can be effectively processed and acted upon by crew or support personnel, others, due to their complexity or time constraints, require either automated or semi-automated reasoning. Prognostics-enabled Decision Making (PDM) is an emerging research area that aims to integrate prognostic health information and knowledge about the future operating conditions into the process of selecting subsequent actions for the system. The newly developed PDM algorithms require suitable software and hardware platforms for testing under realistic fault scenarios. The paper describes the development of such a platform, based on the K11 planetary rover prototype. A variety of injectable fault modes are being investigated for electrical, mechanical, and power subsystems of the testbed, along with methods for data collection and processing. In addition to the hardware platform, a software simulator with matching capabilities has been developed. The simulator allows for prototyping and initial validation of the algorithms prior to their deployment on the K11. The simulator is also available to the PDM algorithms to assist with the reasoning process. A reference set of diagnostic, prognostic, and decision making algorithms is also described, followed by an overview of the current test scenarios and the results of their execution on the simulator.
Application of Event Based Decision Tree and Ensemble of Data Driven Methods for Maintenance Action Recommendation
Authors: Kimotho James K. , Sondermann-Woelke Christoph , Meyer Tobias , Sextro Walter
Published: March 2021

This study presents the methods employed by a team from the department of Mechatronics and Dynamics at the University of Paderborn, Germany for the 2013 PHM data challenge.The focus of the challenge was on maintenance action recommendation for an industrial equipment based on remote monitoring and diagnosis. Since an ensemble of data driven methods has been considered as the state of the art approach in diagnosis and prognosis, the first approach was to evaluate the performance of an ensemble of data driven methods using the parametric data as input and problems (recommended maintenance action) as the output. Due to close correlation of parametric data of different problems, this approach produced high misclassification rate. Event-based decision trees were then constructed to identify problems associated with particular events. To distinguish between problems associated with events that appeared in multiple problems, support vector machine (SVM) with parameters optimally tuned using particle swarm optimization (PSO) was employed. Parametric datawas used as the input to the SVM algorithm and majority voting was employed to determine the final decision for cases with multiple events. A total of 165 SVM models were constructed.This approach improved the overall score from 21 to 48. The method was further enhanced by employing an ensemble of three data driven methods, that is, SVM, random forests (RF) and bagged trees (BT), to build the event based models. With this approach, a score of 51 was obtained . The results demonstrate that the proposed event based method can be effective in maintenance action recommendation based on events codes and parametric data acquired remotely from an industrial equipment.
A data-driven method for predicting structural degradation using a piezoceramic array
Authors: Mulligan Kyle R , Yang Chunsheng , Quaegebeur Nicolas , Masson Patrice
Published: March 2021

There is a growing use of carbon fiber reinforced polymers (CFRPs) in modern airframes with still a limited understanding of the in-service behavioral characteristics of these structures.Structural Health Monitoring (SHM) technologies that use surface-bonded piezoceramic (PZT) transducers to generate and measure guided waves within these structures have demonstrated promising damage detection and localization results and potential for data gathering in data-driven damage prognosis. This paper investigates the development of a data-driven SHM based damage prognosis system for estimating remaining useful life (RUL) of CFRP coupons following damage initiation. A robust and realistic laboratory data gathering methodology is introduced as a building block for evaluating the feasibility of data-driven damage prognosis for in-service aerospace structures. Data are gathered using a PZT-based SHM system. Using the gathered raw guided wave signals, a number of time and frequency domain features are first extracted which are derived from existing damage imaging and detection algorithms. Then, using various combinations of the feature sets as inputs to generic data mining algorithms, the paper presents estimates of the predicted RUL against actual damage diameter progression.
Maintenance Action Recommendation Using Collaborative Filtering
Authors: Das Santanu
Published: March 2021

The problem we were trying to solve in 2013 PHM Society Conference Data Challenge competition 1 is closely related to remote monitoring and diagnostics in industrial applications. This data was generated from an industrial piece of equipment with a sensor network to measure several parameters and an onboard condition monitoring system. The measured data goes through a control logic in order to monitor the equipment’s operating regime. At any time instant when some of these parameters meet a specific condition, the control system generates an unique event id/code. Each case is described by a set of event codes which characterize the atypical operating condition of the equipment. Some of these cases with specific event code combinations may be operationally significant and could be indicative of “Problem Types”, some of which are assumed to be known to the subject matter experts. As a response to these problems, domain experts recommend appropriate diagnostic measures (or maintenance actions) depending on the problem types. The goal of this data competition is to build an automated system that can recommend particular maintenance action(s) to mitigate these problem(s).
Lubrication Oil Condition Monitoring and Remaining Useful Life Prediction with Particle Filtering
Authors: Zhu Junda , Yoon Jae M. , He David , Qu Yongzhi , Bechhoefer Eric
Published: March 2021

In order to reduce the costs of wind energy, it is necessary to improve the wind turbine availability and reduce the operational and maintenance costs. The reliability and availability of a functioning wind turbine depend largely on the protective properties of the lubrication oil for its drive train subassemblies such as the gearbox and means for lubrication oil condition monitoring and degradation detection. The wind industry currently uses lubrication oil analysis for detecting gearbox and bearing wear but cannot detect the functional failures of the lubrication oils. The main purpose of lubrication oil condition monitoring and degradation detection is to determine whether the oils have deteriorated to such a degree that they no longer fulfill their functions. This paper describes a research on developing online lubrication oil condition monitoring and remaining useful life prediction using particle filtering technique and commercially available online sensors. It first introduces the lubrication oil condition monitoring and degradation detection for wind turbines. Viscosity and dielectric constant are selected as the performance parameters to model the degradation of lubricants. In particular, the lubricant performance evaluation and remaining useful life prediction of degraded lubrication oil with viscosity and dielectric constant data using particle filtering are presented. A simulation study based on lab verified models is provided to demonstrate the effectiveness of the developed technique.
Targeting Faulty Bearings for an Ocean Turbine Dynamometer
Authors: Waters Nicholas , Beaujean Pierre-Philippe , Vendittis David J.
Published: March 2021

A real-time, vibrations-based condition monitoring method used to detect, localize, and identify a faulty bearing in an ocean turbine electric motor is presented in this paper. The electric motor is installed in a dynamometer emulating the functions of the actual ocean turbine. High frequency modal analysis and power trending are combined to assess the operational health of the dynamometer’s bearings across an array of accelerometers. Once a defect has been detected, envelope analysis is used to identify the exact bearing containing the defect. After a brief background on bearing fault detection, this paper introduces a simplified mathematical model of the bearing fault, followed with the signal processing approach used to detect, locate, and identify the fault. In the results section, effectiveness of the methods of bearing fault detection presented in this paper is demonstrated through processing data collected, first, from a controlled lathe setup and, second, from the dynamometer. By mounting a bearing containing a defect punched into its inner raceway to a lathe and placing an array of accelerometers along the length of lathe, the bearing fault is clearly detected, localized, and identified as an inner raceway defect. Through retroactively trending the data leading to the near-failure of one of the electric motors in the dynamometer, the authors identified a positive trend in energy levels for a specific frequency band present across the array of accelerometers and identify two bearings as possible sources of the fault.

defects, Bearing Faults, turbine engine, rotating machinery, modulation; demodulation, Fault Detection; Techniques; Ocean Turbine, renewable energy, ocean engineering
Special Issue on Wind Turbine Prognostics and Health Management
Authors: He David , Bechhoefer Eric , Saxena Abhinav
Published: March 2021

WIND POWER generating capacity was 239 GW at the end of 2011, with a further 46 GW of installed capacity to be operational by the end of 2012. While only providing 2.8% of the energy produced in the United States, it is anticipated that by 2030, almost 20% of the total electrical energy will come from wind. This widespread deployment of industrial wind projects will require a more proactive maintenance strategy in order to be more cost competitive with traditional energy systems, such as natural gas or coal. This will be particularly true for offshore wind projects, where availability of the site for maintenance can be restricted for extended periods of time due to weather conditions. Prognostics and Health Management (PHM) of these assets can improve operational availability while reducing the cost of unscheduled maintenance.
Investigating computational geometry for failure prognostics
Authors: Ramasso Emmanuel
Published: March 2021

Prognostics and Health Management (PHM) is a multidisciplinary field aiming at maintaining physical systems in their optimal functioning conditions. The system under study is assumed to be monitored by sensors from which are obtained measurements reflecting the system’s health state. A health indicator (HI) is estimated to feed a data-driven PHM solution developed to predict the remaining useful life (RUL). In this paper, the values taken by an HI are assumed imprecise (IHI). An IHI is interpreted as a planar figure called polygon and a case-based reasoning (CBR) approach is adapted to estimate the RUL. This adaptation makes use of computational geometry tools in order to estimate the nearest cases to a given testing instance. The proposed algorithm called RULCLIPPER is assessed and compared on datasets generated by the NASA’s turbofan simulator (C-MAPSS) including the four turbofan testing datasets and the two testing datasets of the PHM’08 data challenge. These datasets represent 1360 testing instances and cover different realistic and difficult cases considering operating conditions and fault modes with unknown characteristics. The problem of feature selection, health indicator estimation, RUL fusion and ensembles are also tackled. The proposed algorithm is shown to be efficient with few parameter tuning on all datasets.