bluuebunny/crossref_metadata_2025 huggingface dataset:
Express Estimation of the Waterwork Facilities Construction Consequences in the Selenga River Basin
Authors:   Grechushnikova M.G., Edelshtein K.K.
Published: March 2021

Tentative reference estimation of probable changes of the Selenga River average annual monthly runoff for various options of reservoir construction in the Mongolian part of the river catchment has been presented. The World Water Balance Atlas small-scale hydro/climatic maps were used in calculations of reservoirs’ water balances monthly components in the planned ranges of waterworks at the main river and its three tributaries. Probable value of each reservoir flowage and expected depth of river runoff regulation have been estimated. Each waterwork impact and combined influence of water discharges on the Selenga hydrological regime after commissioning of the designed hydro power system have been considered. Reservoir-originated water mass volumes within the Selenga transformed monthly runoff have been calculated. The most favorable, in terms of environmental safety, design option concerning the dams’ location taking into consideration an inevitable the Selenga downstream runoff transformation and this transformation impact upon both the Baikal level regime and its ichthyofauna has been proposed. It has been recommended to plan hydro/meteorological and topographic information collection and analysis at the stage of pre-design survey with taking into account expediency of its application in multi-version forecast calculations of the reservoirs’ hydrological regime annual variations. The detailed calculations will enable to estimate quantitatively both the Selenga water regime variability and the extent of annual variations of its water quality.
Modified Sorbents Based on Granular Glauconite for Natural Waters Purification from Radio Nuclides
Authors:   Kutergin A.S., Nedobukh T.A., Nikiforov A.F.
Published: March 2021

Expediency of the modified sorbents application for natural waters purification from cesium and strontium radio nuclides has been demonstrated. Possibility to use granular glauconite as a carrier for sorption-active agent films has been considered. Results of the research of 137Cs and 90Sr radio nuclides sorption reduction from water solutions with modified materials based on granular glauconite in static and dynamic conditions are presented. A cesium and strontium concentration range within which the reduced elements distribution between solid and liquid phases is in accordance with Henry’s law has been determined. Within the Henry’s law action area the modified sorbents distribution coefficients are Kd = (1.0±0.2)·104 ml/g for cesium and Kd = (1.6±0.7)·103 ml/g for strontium. It has been shown that the modified sorbents are an order of magnitude higher that initial granular glauconite in terms of their kinetic and capacitive characteristics. Static exchange capacity of the modified granular glauconite for 137Cs is estimated as 144 mg/g, for 90Sr as 42 mg/g. Dynamic exchange capacity of the modified sorbent is more than 11 mg/g for 137Cs, the value of the detained water phase volume exceeds 22 000 ml (≈ 7000 columnar volumes). The obtained experimental data can be applied for development of technological schemes for natural water sources rehabilitation on any radiation-contaminated territories.
Inspection of the Waterwork Facilities’ Concrete Elements with the Use of Geo/ radio/location Method
Authors:   Dzhumatayev T.A., Gontar M.I.
Published: March 2021

A method of the waterwork facilities concrete elements inspection with geo/radio/location has been presented. Results of the obtained outcomes processing have shown that the use of the above method is an effective way of getting information on the concrete relative strength.
River Runoff Impact on the Taganrog Bay and the Kuban River/Azov Sea Coastal Waters Quality
Authors:   Krutov A.N.
Published: March 2021

The low-depth Azov Sea coastal waters quality has been investigated. The sea faces considerable human-originated loads caused by the different origin pollutants river runoff. The river runoff pollutants comprise petroleum products, synthetic surface-active substances, phenols, chlorinated hydrocarbons, and heavy metals. Results of the investigation intended to affirm the suppositions on possibilities of the Azov Sea Temryuk Bay and Taganrog Bay coastal waters quality forecasting with the use of limited hydrological and hydro/chemical information obtained from the control stations have been presented. Comparison of the most significant water quality characteristics of river runoff and sea water has confirmed such a possibility. Further studies will be aimed at founding of the correlation dependencies for the most hazardous pollutants.
Análisis de programas de desarrollo profesional del profesorado universitario
Authors: Loaiza-Aguirre María Isabel , Andrade-Abarca Paola Salomé
Published: March 2021

Los programas de desarrollo profesional se diseñan considerando elementos enfocados en cómo ayudar al profesorado universitario en los ámbitos: docencia, investigación y gestión; atendiendo las necesidades e intereses identificados, actividades, etapas de la formación, evaluación y transferencia. El objetivo de esta investigación fue analizar los programas de desarrollo profesional ofertados en un grupo de instituciones de educación superior -IES- de Ecuador y diagnosticar las acciones que se han implementado en este contexto. Para recopilar la información se utilizó la entrevista, organizando los datos a través de un sistema de registro categorial, con cuatro categorías: (1) Contexto; (2) Planificación y diseño; (3) Desarrollo y puesta en marcha; y, (4) Seguimiento y gestión de la calidad. Los resultados más relevantes mostraron que los programas de desarrollo profesional son fragmentados en cursos aislados, sin responder a objetivos comunes; pocas universidades mantienen una estructura integral. Se concluyó que la institucionalización de las acciones de formación es un elemento que debe considerarse en los planes estratégicos de las universidades, integrándolos a las necesidades, para gestionar políticas que motiven al profesorado a valorar la importancia de su desarrollo profesional. Los hallazgos contribuyen al ámbito del desarrollo profesional docente, aportando un análisis integral frente a estudios específicos.
As falácias discursivas do presidente Juan Orlando Hernández no juízo por narcotráfico do seu irmão Antonio "Tony" Hernández
Authors: Valdez Ariel Amador
Published: March 2021

Tony Hernández's judgment is probably the most important moment in Honduran political history, as it is the first time a Honduran politician has been prosecuted. Moreover, with this judgment it shows all the corruption that afflicts the institutionality of that country: the own brother of the President of the nation was prosecuted and found guilty of drug trafficking, whether organized crime reached the deepest state as the Executive Power. The study, through Critical Discourse Analysis, addresses the discursive ways in which President Hernández tried to defend himself and even justify his brother's judgment.
Law Enforcement of Criminal Trading of Narcotics by the North Sumatera Narcotics Agency
Authors: Budiadi Ridzwan , Butarbutar Eriska Englin Sofia , Tampubolon Rony Parlungutan
Published: March 2021

The circulation of narcotics is one of the problems that should get more attention in Indonesia, especially in the city of Medan. This study uses the juridical-normative method in explaining research questions. In reinforcing arguments and explanations, researchers used primary data through direct interviews with the North Sumatra National Narcotics Agency (BNN) and secondary through scientific writings, news and official government publications. This paper explains that the government must be able to enforce the law related to the crime of narcotics trafficking, this is due to the large impact that can arise from the destruction of Indonesia's young generation.
Educación por competencias con enfoque socioformativo y su impacto en el desarrollo social sostenible
Authors: Quintal-Berny Antonio , Bolaños-Arias Gerardo
Published: March 2021

En México, el modelo de competencias no ha logrado concretar un proceso de enseñanza y aprendizaje que se acerque a la visión del ciudadano que reclama el espectro deseable del desarrollo social sostenible. Se realizó un análisis reflexivo mediante una revisión documental de diferentes investigaciones para detectar las principales razones por las que no se ha logrado este propósito. Las reflexiones se centraron en el enfoque socioformativo como una opción viable, con fundamento pedagógico, actualizada a las demandas del siglo XXI y con visión de futuro para implementarse como enfoque educativo innovador para la concreción de la educación por competencias en instituciones educativas para favorecer el desarrollo humano y social. La conclusión de este estudio es que el enfoque socioformativo mediante proyectos de formación y trabajo colaborativo tiene la metodología para impactar en el desarrollo de las competencias de los estudiantes.
Keputusan Investasi, Pendanaan, Kebijakan Dividen dan Price to Book Value Perusahaan Pertambangan di Bursa Efek Indonesia
Authors: Alipudin Asep , Hidayat Nur
Published: March 2021

A B S T R A C T

The financial performance of the mining sector was having decline from 2011 to 2012. Price to book value illustrates the value of the company. This study examines the effect of investment decisions, financing, and dividend policy on price to book value. Samples were tested by 50 years of data mining company for 5 years. The results showed that the investment decisions affect the value of the company. The research result shows that financing policy and dividend policy no significant effect on firm value. This research contributes for empirical evidence related to the factors that affect the value of the company in the mining sector.

A B S T R A K

Kinerja keuangan sektor pertambangan sedang mengalami penurunan dari tahun 2011 sampai 2012. Price to Book Value menggambarkan nilai dari perusahaan. Penelitian ini menguji pengaruh keputusan investasi, pendanaan, dan kebijakan dividen terhadap price to book value. Sampel diuji sebanyak 50 data tahun perusahaan pertambangan selama 5 tahun. Hasil penelitian menunjukkan bahwa keputusan investasi berpengaruh terhadap nilai perusahaan. Adapun pendanaan dan kebijakan deviden berpengaruh tidak signifikan terhadap nilai perusahaan. Riset ini memberikan kontribusi tentang bukti empiris terkait faktor-faktor yang mempengaruhi nilai perusahaan pada sektor pertambangan moral.

JEL Classification G14, M21
Pendapatan Asli Daerah, Dana Bagi Hasil Pajak dan Bukan Pajak, Dana Alokasi Umum dan Dana Alokasi Khusus dan Belanja Modal pada Kabupaten/Kota Provinsi Jawa Barat
Authors: Pamuji Wahyu , Abdillah Willy
Published: March 2021

ABSTRACT

This study aims to examine the effect of income, revenue-sharing, general allocation fund and a special allocation of funds for capital expenditure District / City in West Java province in 2008 - 2012. The analysis method used in this research is quantitative method with regression testing multiple test the classic assumption before it get the best research model. The variables in this study were of income, revenue-sharing, general allocation fund and a special allocation fund as an independent variable and capital expenditures as the dependent variable. These results prove that the local revenue, revenue-sharing, general allocation fund and a special allocation fund a significant effect on of capital expenditure on Kabupaten / Kota in the province of West Java. The results of the study provide evidence that regional income, revenue-sharing, general allocation fund a significant effect on capital expenditure, while the special allocation variables no significant effect on of capital expenditure. This study shows that the potential of the region will determine the composition of of capital expenditure in Kabupaten / Kota in West Java Province.

ABSTRAK

Penelitian ini bertujuan menguji pengaruh pendapatan asli daerah, dana bagi hasil, dana alokasi umum dan dana alokasi khusus terhadap belanja modal Pemerintah Kabupaten/Kota di Provinsi Jawa Barat tahun 2008 - 2012. Metode analisis yang digunakan dalam penelitian ini adalah metode kuantitatif, dengan pengujian regresi berganda dengan melakukan uji asumsi klasik sebelum mendapatkan model penelitian terbaik. Variabel dalam penelitian ini adalah pendapatan asli daerah, dana bagi hasil, dana alokasi umum dan dana alokasi khusus sebagai variabel independen dan Belanja Modal sebagai variabel dependen. Hasil penelitian ini membuktikan bahwa pendapatan asli daerah, dana bagi hasil, dana alokasi umum dan dana alokasi khusus berpengaruh signifikan terhadap belanja modal pada Kabupaten/Kota di Provinsi Jawa Barat. Hasil penelitian memberikan bukti bahwa pendapatan asli daerah, dana bagi hasil, dana alokasi umum.

JEL Classification: H83, M12
Analisis Faktor - Faktor yang Mempengaruhi Terjadinya Fraud
Authors: Suryana Asep , Sadeli Dadang
Published: March 2021

A B S T R A C T

Fraud can happen in the work environment in field of education. The purpose of this study was to demonstrate and explain empirically that there is the influence of the working environment, personal attitude and administration system against fraud. The study was conducted by survey method. Samples are 84 administrative employees and teachers in SMA and SMK Sukabumi. Testing is done by multiple linear regression analysis. Instruments adopted from previous research. Validity and reliability tests conducted before hypothesis test. The research proves that the work environment against fraud. Personal influence attitude and system administration against fraud is not proven significantly.

A B S T R A K

Kecurangan dapat terjadi di lingkungan kerja di bidang pendidikan. Tujuan penelitian ini adalah untuk membuktikan dan menjelaskan secara empiris bahwa ada pengaruh lingkungan kerja, personal attitude dan sistem administrasi terhadap fraud. Penelitian dilakukan dengan metode survey. Sampel adalah 84 pegawai tata usaha dan guru di SMAN dan SMKN Sukabumi. Pengujian dilakukan dengan uji regresi liner berganda. Instrumen diadopsi dari peneliti sebelumnya. Uji validitas dan reliabilitas dilakukan sebelum dilakukan uji hipotesis. Hasil penelitian membuktikan bahwa lingkungan kerja terhadap fraud. Pengaruh personal attitude dan sistem administrasi terhadap fraud tidak terbukti secara signifikan.

JEL Classification: H22, I22
Faktor Fundamental, Suku Bunga, Nilai Tukar dan Return Saham Perusahaan Sektor Industri Barang Konsumsi
Authors: G. Andamari Basis
Published: March 2021

A B S T R A C T

This study aims to examine the effect of return on equity, debt equity ratio, earnings per share, interest rates and the Exchange Rate To return under common control. Sample is the company-consumer goods industry sector company listed on the Indonesian Stock Exchange 2008-2011. Testing is done by multiple linear regression. Test results showed that the earnings per share and interest rates showed a significant influence under common thing against return. Return on equity, debt to equity ratio, Exchange Rate indicates the findings of no effect. Results showed that the accounting information is a prayer One That information is used to review adopted a decision to invest. Future research is recommended to review conduct tests with samples of different industries and adding new accounting information in addition to that already examined.

A B S T R A K

Penelitian bertujuan menguji pengaruh return on equity, debt equity of ratio, earning per share, suku bunga dan nilai tukar terhadap return saham. Sampel adalah perusahaan-perusahaan sektor industri barang konsumsi yang terdaftar di BEI tahun 2008–2011. Pengujian dilakukan dengan regresi linier berganda. Hasil pengujian menunjukkan bahwa earning per share dan suku bunga menunjukkan pengaruh yang signifikan terhadap return saham. Return on equity, debt to equity ratio, nilai tukar menunjukkan hasil tidak berpengaruh. Hasil penelitian menunjukkan bahwa informasi akuntansi merupakan salah satu informasi yang digunakan untuk mengambil keputusan berinvestasi. Penelitian mendatang disarankan untuk melakukan pengujian dengan sampel industri berbeda dan menambahkan informasi akuntansi baru selain yang telah diteliti.

JEL Classification: G14, G10
Implementasi Standar Akuntansi Keuangan Tax Amnesty (Psak 70): Cermin Kepatuhan Pajak
Authors: Ahmar Nurmala
Published: March 2021

ABSTRACT

The Financial Services Authority (OJK) stipulates that tax amnesty ends on March 31, 2017. The institution claims the program is able to improve banking liquidity. This study aims to investigate the effectiveness of the implementation of the tax amnesty program which is regulated by the presentation of the report based on PSAK 70. The sample is 93 companies from 5 financial institutions. These financial institutions are banks, insurance, financial institutions, securities, and other investment companies. The observation period was carried out during 2016. The results of the study found that more banking financial institutions did not participate in the tax amnesty program than those who participated. The same thing was found in financial institutions. Securities companies and other financial institutions were found to have greater participation, while insurance companies were found to have balanced participation. The results of these studies can be the basis of policy regarding recurring policies related to tax amnesty in Indonesia because participation from the banking sector in terms of implementation of PSAK 70 is still dominated by non-participation status.

ABSTRAK

Otoritas Jasa Keuangan menetapkan bahwa pengampunan pajak yang berakhir pada 31 Maret 2017. Institusi tersebut mengklaim program tersebut mampu memperbaiki likuiditas perbankan. Penelitian ini bertujuan menginvestigasi efektifitas implementasi program pengampunan pajak yang diatur penyajian laporannya perdasarkan PSAK 70. Sampel adalah 93 perusahaan dari 5 lembaga keuangan. Lembaga keuangan tersebut adalah bank, asuransi, lembaga pembiayaan, sekuritas, dan perusahaan invstasi lainnya. Masa observasi dilakukan selama tahun 2016. Hasil penelitian menemukan bahwa lembaga keuangan perbankan lebih banyak yang tidak berpartisipasi pada program tax amnesty dibandingkan yang berpartisipasi. Hal yang sama ditemukan pada lembaga pembiayaan. Perusahaan sekuritas dan lembaga keuangan lain ditemukan memiliki partisipasi lebih besar, sedangkan perusahaan asuransi ditemukan memiliki partisipasi yang berimbang. Hasil penelitian tersebut dapat menjadi dasar kebijakan tentang kebijakan berulang terkait tax amnesty di Indonesia karena partisipasi dari sector perbankan ditinjau dari implementasi PSAK 70 masih didominasi status tidak berpartisipasi dan dengan kata lain kepatuhan pajak yang diukur daripartisipasi tax amnesty masih belum optimum.

JEL Classification: H21, G32, M41
Upaya Pencegahan dan Penanganan Kredit Macet Ditinjau dari Persepsi Nasabah
Authors: Putri Eriska Ajeng Ade , Nuraina Elva , Yusdita Elana Era
Published: March 2021

ABSTRACT
       This research aims to minimize or avoid nonperforming loan problems by knowing the perspective side of the customer which the bank does not know. The type of research used is a qualitative approach. Data collection techniques through interviews and observations. The findings of the study show that (1) In the procedure for granting credit, there are requirements if a customer who wishes to apply for a loan also includes collateral and a mutation in the customer’s savings account balance. (2) Loans given by Banks, especially the type of KUR (People’s Business Credit) are primarily intended for people who wish to establish or de-velop their businesses, however some of the funds are used for personal purposes and also deposit loan funds at the Bank. (3) According to customer perceptions, the factors causing nonperforming loan are mainly due to business failure, coupled with the Covid-19 pandemic. (4) Preventive measures that can be taken are conducting customer business surveys by focusing on opportunities for customer to earn income or paying attention to the customer’s business chan. Handling measures that can be taken are by means of credit restructuring or credit extension by the bank.
ABSTRAK
        Penelitian ini bertujuan untuk meminimalisir atau menghindari masalah kredit macet dengan mengetahui sisi presepktif dari nasabah yang tidak diketahui oleh bank. Jenis penelitian yaitu pendekatan kualitatif. Teknik pengumpulan data melalui wawancara dan observasi. Hasil temuan penelitian menunjukan bahwa (1) Dalam prosedur pemberian kredit terdapat persyaratan jika nasabah yang hendak mengajukan pinjaman juga menyertakan agunan dan mutasi saldo rekening tabungan nasabah. (2) Pinjaman yang diberikan bank khususnya jenis KUR (Kredit Usaha Rakyat) utamanya diperuntukan bagi masyarakat yang hendak mendirikan atau mengembangkan usahanya , namun ada sebagian dana yang digunakan untuk kepeluan pribadi dan juga mendepositokan dana pinjaman di bank. (3) Menurut persepsi nasabah faktor penyebab kredit macet utamanya karena kegagalan bisnis ditambah lagi dengan adanya pandemi covid-19. (4) Upaya pencegahannya yaitu melakukan survei usaha nasabah dengan berfokus pada peluang nasabah dalam memperoleh pendapatan atau memperhatikan rantai bisnis nasabah. Upaya penanganannya yaitu dengan cara rekstrukturisasi kredit atau perpanjangan masa kredit yang dilakukan oleh pihak bank. 
JEL Classification : E51, E59
Personal savings and household investments: a cohort study among primary school teachers
Authors:   Faculty of Management Sciences, Lira University, Lira, Uganda, Akeny Emmanuel , Mwesigwa David ,   Faculty of Management Sciences, Lira University, Lira, Uganda
Published: March 2021

Purpose: This study aimed to determine the relationship between personal savings and household investments among a cohort of primary school teachers in lira city. Research methodology: The study used a cross-sectional survey design with a quantitative research approach. Data were collected from a sample of 103 respondents with the period between October 2020 and January 2021 using self-administered questionnaires. The Content Validity Index was used to establish validity, while the Cronbach's Alpha Coefficient was used to test reliability. Results: Using descriptive and inferential statistics, the results suggest that civil servants' personal financial planning is high due to personal savings. Also, the level of household investment is high and the correlation reveals that the relationship between private savings and household investment is very weak and negative. Limitations: This study focused on personal savings only, yet other constructs affect household investments. Contribution: This study's results help civil servants in Lira city and Uganda in general since personal savings are an essential factor to household investments. Keywords: Personal savings, Household investment, Primary teacher, Financial planning, Lira
Companies’ vision, mission, and core values focus on human resource management
Authors:   Human Resource Management discipline, Khulna University, Akter Sraboni
Published: March 2021

Purpose: This study aimed to determine companies’ vision, mission, and core values focus on human resource management. Research methodology: This study used qualitative method and 14 companies’ website has been used to identify their mission, vision and core values. Results: From the total of 14 FMCG companies that had been used in this study only five (Akij group, Marco Bangladesh Reckitt Benckiser Group plc (RB), Eskayef Pharmaceuticals Ltd, and Danish) of them showed that they have no mention about the human resource management and nine of them showed their concern towards human capital in their vision, mission, and core values. Limitation: This study is only confined to identify the mission, vision, core values, not their impact. Besides that, it is only limited to the small number of FMCG companies in Bangladesh. Contribution: This study’s results contribute to understanding the importance of focusing on human resource management on the companies’ vision and mission and explaining the reason for modifying the existing statements. Keywords: Core values; FMCG; Human resource management; Mission; Vision
Modern dance commodification strategy in tourism promotion (Study on the modern dance community in Kupang city)
Authors:   Nusa Cendana University, C. B. Raya Victor , E. Fanggidae Rolland ,   Nusa Cendana University, J. Fanggidae Apriana ,   Nusa Cendana University
Published: March 2021

Purpose: This study aimed to describe the modern dance commodification strategy in promoting cultural tourism in East Nusa Tenggara Province. Research methodology: The research method used in this research is a qualitative method. Respondents used in this study were 15 people. Data processing was performed using a SWOT analysis. Results: According to the analysis results, the most appropriate strategy for the modern dance community in developing cultural tourism in East Nusa Tenggara is to work together with various parties, create online competitions, innovate with culture, and organize independent events by the dancer community. Limitations: This study only discusses the strategy of the commodification of modern dance in tourism promotion in East Nusa Tenggara. Contribution: This research can become scientific information for students specifically studying tourism. Keywords: Modern dance commodification, Tourism promotion
Klasifikasi Topeng Cirebon menggunakan Metode Convolutional Neural Network
Authors: Kurniadi Felix Indra
Published: March 2021

Cirebon mask is one of the intangible cultural heritage in Indonesia. It is one of the prominent cultural assets from Cirebon and becoming one of the identity Cirebon culture. However, the current condition people tend to forget the cultural asset and lack of help from the government makes the Cirebon mask become the third-rate assets. Our concern lays on the extinction of this Mask. We want to implement digitation and automatic identification using image processing techniques. In this paper, we applied the Convolutional Neural Network for Cirebon Mask classification.
Analisis Manajemen Risiko Teknologi Informasi Software PEGA Menggunakan ISO 31000
Authors: Ecleas Joshua
Published: March 2021

PEGA merupakan software yang digunakan oleh PT. Asuransi Sinar Mas untuk mendukung pelayanan dan produktivitas, kegunaan dari PEGA antara lain untuk absensi karyawan, mengecek produktifitas karyawan, untuk menginput polis asuransi, melihat data polis. PEGA sangat berpengaruh untuk menunjang proses bisnis dari PT. Asuransi Sinar Mas yang berperan sebagai perusahaan yang memberikan Jasa Asuransi. Dalam menjalankan proses bisnisnya tentu banyak sekali kemungkinan risiko yang dapat mengancam kelancaran bisnis dari perusahaan itu sendiri, maka dari itu perlu adanya analisa manajemen risiko agar kemungkinan risiko yang akan terjadi dapat diminimalisir atau ditiadakan, agar perusahaan dapat mencapai tujuannya dengan baik. Dalam menganalisis kemungkinan risiko yang ada digunakan pedoman ISO 31000. Tahapan yang dilakukan yaitu Risk Assasement dan Risk Treatment. Hasil dari penelitian ini dapat bermanfaat dan menjadi saran bagi perusahaan agar meminimalisir atau meniadakan kemungkinan risiko yang dapat menghambat kelancaran dari bisnis PT. Asuransi Sinar Mas.
Sistem Informasi Monitoring Penjualan Dan Prediksi Stok Barang Kios Pulsa Menggunakan Moving Average Berbasis Website
Authors: Fauzi Ahmad
Published: March 2021

ABSTRAKKios pulsa adalah toko kecil yang beredar untuk menjual berbagai macam produk kebutuhan handphone seperti aksesoris, perangkat charger, usb, headset, terutama paket data seluler. Pada transaksi jual beli pulsa yang ada pada kios memiliki alur dimana pelanggan harus mencatatkan nomor yang akan diisi pulsa, nominal, kemudian penjual akan memasukkan pulsa sesuai permintaan pelanggan, jika pulsa berhasil masuk maka pelanggan membayar dan pembeli mencatatkan harga pada pembukuan yang sama dengan pembukuan nomor serta nominal pelanggan.Transaksi tersebut tentu membutuhkan sistem yang dapat menyederhanakan proses sehingga pengolahan data dapat lebih cepat dan dokumentasi lebih aman dibandingkan dokumentasi pembukuan. Sistem informasi monitoring penjualan dan stok barang kios pulsa berbasis website dapat mengolah data mulai dari data transaksi, data stok barang, hingga menghasilkan informasi yang memudahkan penjual dalam monitoring (memantau) laporan harian tanpa harus membuka dokumen-dokumen transaksi yang membutuhkan waktu lebih lama serta dokumentasi yang bersifat media cetak Sistem informasi monitoring berbasis website dibangun menggunakan bahasa program PHP dengan framework codeigniter dan manajemen database MySQL. Sistem informasi monitoring berbasis website dapat melakukan olah data secara virtual dimana pembeli memasukkan data pembelian, dari data tersebut akan disimpan dalam sistem dan penjual dapat melakukan olah data langsung dari sistem berbasis website tanpa terbatas ruang dan waktu. Data yang tersimpan dapat dilihat kapanpun dan dimanapun.
EFEKTIFITAS PENERAPAN FINGER PRINT PADA DINAS PEMBERDAYAAN MASYARAKAT DAN DESA PROVINSI SULAWESI SELATAN
Authors: Wahyudi Wahyudi , Bahri Syamsul , Maldun Syamsuddin
Published: March 2021

Pendisiplinan pegawai sangat perlu untuk meningkatkan citra kerja, dan kinerja pegawai. Salah satu bagian dalam upaya pendisiplinan tersebut adalah penggunaan alat absensi dalam bentuk finger print. Penerapan absensi finger print di Dinas Pemberdayaan Masyarakat dan Desa Provinsi Sulawesi Selatan juga dapat memudahkan atasan untuk melihat tingkat kedisiplinan kehadiran dari masing-masing pegawai. Desain penelitian yang digunakan yaitu desain penelitian deskriptif dengan pendekatan kualitatif. Penelitian ini akan dilakukan di Dinas Pemberdayaan Masyarakat dan Desa Provinsi Sulawesi Selatan. Teknik pengumpulan data yang digunakan dalam penelitian ini yaitu: wawancara, observasi, serta dokumen. Untuk melakukan proses analisis data, peneliti akan melakukan tiga tahapan proses, yaitu:  1) Tahapan reduksi data (data reduction); 2) Tahapan penyajian data (data display); 3) Tahapan penarikan kesimpulan atau verifikasi (conclusing drawing verivication). Dalam proses pelaksanaannya keempat indikator yaitu pencapaian target, kemampuan adaptasi, kepuasan kerja dan tanggungjawab berdasarkan temuan di lapangan semuanya dilakukan dengan baik. Kendatipun ada masalah di lapangan namun hal tersebut hanya merupakan masalah teknis yang dapat diatasi dengan mudah dan cermat oleh instansi tersebut. Adapun hambatan dalam mendukung efektifitas pelaksanaan finger print di dinas PMD provinsi Sulawesi Selatan ada dua yaitu persoalan mesin finger print yang salah dalam melakukan identifikasi data pegawai dan adanya mesin eror.
Employee discipline is very necessary to improve work culture and employee performance. One part of the disciplinary effort is the use of an attendance device in the form of a finger print. The implementation of finger print attendance at the Office of Community and Village Empowerment Service in South Sulawesi Province can also make it easier for superiors to see the disciplinary level of attendance of each employee. The research design used is a descriptive research design with a qualitative approach. This research will be conducted at the Community and Village Empowerment Service of South Sulawesi Province. Data collection techniques used in this study are: interviews, observations, and documents. To carry out the data analysis process, the researcher conducted three stages of process, which are: 1) Data reduction; 2) data display; 3) drawing conclusions or verification. In the implementation process, the four indicators, which are target achievement, adaptability, job satisfaction and responsibility based on findings in the field are all done well. Even though there are problems during the fieldwork, they are only technical problems that can be resolved easily and carefully by the agency. There are two obstacles in supporting the effectiveness of the implementation of finger print at the PMD office of South Sulawesi province, namely the problem of finger print machines that incorrectly identify employee data and the machine errors.
Un futuro posible para el trabajo allende 2020
Authors:   Universidad EAFIT, Orejuela Gómez Johnny Javier
Published: March 2021

Quizás después de la salud y la economía, el tercer gran damnificado con la crisis planetaria es el mundo del trabajo, los mercados laborales advierten cambios sensibles: competencia global, aumento del desempleo en los mercados formales, mayor vulnerabilidad de los mercados informales, profundidad de la precariedad, generalización de la incertidumbre laboral para todos. La mayor consecuencia de esta crisis y gran depresión planetaria de la que quizás nos demoremos toda esta década siguiente en recuperarnos, como fue el caso de la gran depresión de 1929, es que deberemos soportar grandes pérdidas, lo que no deja de enfrentarnos a un proceso de trauma y duelo por ello. Se perderán empleos, 195 millones, en el mundo y 14 millones en América Latina dice la Organización Internacional del Trabajo (OIT); se perderá capacidad adquisitiva derivada de una constricción del salario, en algunos sectores perderán hasta el 50 % de su ingreso mensual (turismo, entretenimiento, transporte, etc.). Se perderá también riqueza sobre todo en los que estaban en condición de independencia laboral, autónomos, y emprendedores, quienes no solo han perdido sus empleos, sino sus empresas, sus emprendimientos; perderán lo que habían ganado y hasta los ahorros de toda su vida, perderán su patrimonio. Los empleados, en su gran mayoría, perderán no solo el empleo y el valor de su salario, también perderán todos aquellos beneficios adicionales: primas legales y extralegales, apoyos económicos para educación y bienestar, bonos complementarios de compensación, etc. Estas pérdidas han quedado profundizadas de manera acelerada, en cuestión de semanas; los efectos y capacidad de recuperación se calculan en no pocos años.
Metrics for Offline Evaluation of Prognostic Performance
Authors: Saxena Abhinav , Celaya Jose , Saha Bhaskar , Saha Sankalita , Goebel Kai
Published: March 2021

Prognostic performance evaluation has gained significant attention in the past few years.*Currently, prognostics concepts lack standard definitions and suffer from ambiguous and inconsistent interpretations. This lack of standards is in part due to the varied end-user requirements for different applications, time scales, available information, domain dynamics, etc. to name a few. The research community has used a variety of metrics largely based on convenience and their respective requirements. Very little attention has been focused on establishing a standardized approach to compare different efforts. This paper presents several new evaluation metrics tailored for prognostics that were recently introduced and were shown to effectively evaluate various algorithms as compared to other conventional metrics. Specifically, this paper presents a detailed discussion on how these metrics should be interpreted and used. These metrics have the capability of incorporating probabilistic uncertainty estimates from prognostic algorithms. In addition to quantitative assessment they also offer a comprehensive visual perspective that can be used in designing the prognostic system. Several methods are suggested to customize these metrics for different applications. Guidelines are provided to help choose one method over another based on distribution characteristics. Various issues faced by prognostics and its performance evaluation are discussed followed by a formal notational framework to help standardize subsequent developments.
Sequential Monte Carlo methods for Discharge Time Prognosis in Lithium-Ion Batteries
Authors: Orchard Marcos E. , Cerda Matías A. , Olivares Benjamín E. , Silva Jorge F.
Published: March 2021

This paper presents the implementation of a particlefiltering- based prognostic framework that allows estimating the state-of-charge (SOC) and predicting the discharge time of energy storage devices (more specifically lithium-ion batteries). The proposed approach uses an empirical statespace model inspired in the battery phenomenology and particle-filtering to study the evolution of the SOC in time; adapting the value of unknown model parameters during the filtering stage and enabling fast convergence for the state estimates that define the initial condition for the prognosis stage. SOC prognosis is implemented using a particlefiltering- based framework that considers a statistical characterization of uncertainty for future discharge profiles.
Generic characterization of diagnosis and prognosis for complex heterogeneous systems
Authors: Ribot Pauline , Pencol´ Yannick , Combacau Michel
Published: March 2021

Maintenance efficiency of complex industrial systems is an important economical and business issue. Main difficulties come from the choice of maintenance actions. A wrong choice can lead to maintenance costs that are not acceptable. In this paper, we propose a generic health monitoring system that integrates some diagnostic and prognostic capabilities to determine the current and future state of a large and complex system such as an aircraft. The diagnostic function aims at identifying faulty components that may cause global system failures. The prognostic function estimates the remaining time until the next global system failure. A formal and generic modeling framework for a complex system encapsulating the knowledge required to get the consistent coordination of the diagnostic and prognostic functions is presented. We propose in this framework to take into account component redundancies which is common in systems like aircrafts. Moreover, an original coupling of diagnosis and prognosis is established based on the characterization of the system operational modes and on a decentralized architecture of the monitoring system.
Novel Technology Based on the Spectral Kurtosis and Wavelet Transform for Rolling Bearing Diagnosis
Authors: Gelman Len , Patel Tejas H. , Persin Gabrijel , Murray Brian , Thomson Allan
Published: March 2021

A novel diagnosis technology combining the benefits of spectral kurtosis and wavelet transform is proposed and validated for early defect diagnosis of rolling element bearings. A systematic procedure for feature calculation is proposed and rules for selection of technology parameters are explained. Experimental validation of the proposed method carried out for early detection of the inner race defect. A comparison between frequency band selection through wavelets and spectral kurtosis is also presented. It has been observed that the frequency band selected using spectral kurtosis provide better separation between healthy and defective bearings compared to the frequency band selection using wavelet. In terms of Fisher criterion the use of spectral kurtosis has a gain of 2.75 times compared to the wavelet.
Adaptive Multi-scale Prognostics and Health Management for Smart Manufacturing Systems
Authors: Y. Choo Benjamin , C. Adams Stephen , A. Weiss Brian , A. Marvel Jeremy , A. Beling Peter
Published: March 2021

The Adaptive Multi-scale Prognostics and Health Management (AM-PHM) is a methodology designed to enable PHM in smart manufacturing systems. In application, PHM information is not yet fully utilized in higher-level decisionmaking in manufacturing systems. AM-PHM leverages and integrates lower-level PHM information such as from a machine or component with hierarchical relationships across the component, machine, work cell and assembly line levels in a manufacturing system. The AM-PHM methodology enables the creation of actionable prognostic and diagnostic intelligence up and down the manufacturing process hierarchy. Decisions are then made with the knowledge of the current and projected health state of the system at decision points along the nodes of the hierarchical structure. To overcome the issue of exponential explosion of complexity associated with describing a large manufacturing system, the AM-PHM methodology takes a hierarchical Markov Decision Process (MDP) approach into describing the system and solving for an optimized policy. A description of the AM-PHM methodology is followed by a simulated industry-inspired example to demonstrate the effectiveness of AM-PHM.
Combining Deep Learning and Survival Analysis for Asset Health Management
Authors: Liao Linxia , Ahn Hyung-il
Published: March 2021

We propose a method to integrate feature extraction and prediction as a single optimization task by stacking a three-layer model as a deep learning structure. The first layer of the deep structure is a Long Short Term Memory (LSTM) model which deals with the sequential input data from a group of assets. The output of the LSTM model is followed by meanpooling, and the result is fed to the second layer. The second layer is a neural network layer, which further learns the feature representation. The output of the second layer is connected to a survival model as the third layer for predicting asset health condition. The parameters of the three-layer model are optimized together via stochastic gradient decent. The proposed method was tested on a small dataset collected from a fleet of mining haul trucks. The model resulted in the “individualized” failure probability representation for assessing the health condition of each individual asset, which well separates the in-service and failed trucks. The proposed method was also tested on a large open source hard drive dataset, and it showed promising result.
IAMM: A Maturity Model for Measuring Industrial Analytics Capabilities in Large-scale Manufacturing Facilities
Authors: O’Donovan Peter , Bruton Ken , T.J. O’Sullivan Dominic
Published: March 2021

Industrial big data analytics is an emerging multidisciplinary field, which incorporates aspects of engineering, statistics and computing, to produce data-driven insights that can enhance operational efficiencies, and produce knowledgebased competitive advantages. Developing industrial big data analytics capabilities is an ongoing process, whereby facilities continuously refine collaborations, workflows and processes to improve operational insights. Such activities should be guided by formal measurement methods, to strategically identify areas for improvement, demonstrate the impact of analytics initiatives, as well as deriving benchmarks across facilities and departments. This research presents a formal multi-dimensional maturity model for approximating industrial analytics capabilities, and demonstrates the model’s ability to assess the impact of an initiative undertaken in a real-world facility.
A Methodology for Updating Prognostic Models via Kalman Filters
Authors: Rajagopalan Venkatesh , Subramaniyan Arun
Published: March 2021

Prognostic models are built to predict the future evolution of the state or health of a system. Typical applications of these models include predictions of damage (like crack, wear) andestimation of remaining useful life of a component. Prognostic models may be data based, based on known physics of the system or can be hybrid, i.e., built through a combination of data and physics. To build such models, one needs either data from the field (i.e., real-world operations) or simulations/ tests that qualitatively represent field observations. Often, field data is not easy to obtain and is limited in its availability. Thus, models are built with simulation or test data and then validated with field observations when they become available. This necessitates a procedure that allows for refinement of models to better represent real-world behavior without having to run expensive simulations or tests repeatedly. Further, a single prognostic model developed for an entire fleet may need to be updated with measurements obtained from individual units. In this paper, we describe a novel methodology, based on the Unscented Kalman Filter, that not only allows for updating such “fleet” models, but also guarantees improvement over the existing model.
Condition Based Maintenance of Low Speed Rolling Element Bearings using Hidden Markov Model
Authors: Prakash G. , Narasimhan S. , Pandey M. D.
Published: March 2021

This paper presents an integrated hidden Markov model (HMM) approach to undertake fault diagnosis and maintenance planning for low-speed roller element bearings in a conveyor system. The components studied are relatively long-life components for which run-to-failure data is not available. Furthermore, the large number of these components in a conveyor system makes the individual monitoring of each bearing impractical. In this paper, HMM is employed to overcome both these challenges. For fault diagnosis, a number of bearings varying in age and usage were extracted from the system and tested to develop a baseline HMM model. This data was then used to calculate likelihood probabilities, which were subsequently used to determine the health state of an unknown bearing. For maintenance planning, experimentally determined thresholds from faulty bearings were used in conjunction with simulated degradation paths to parametrize a HMM. This HMM is then used to determine the state duration statistics and subsequently the calculation of residual useful life (RUL) based on bearing vibration data. The RUL distribution is then used for maintenance planning by optimizing the expected cost rate and the results so obtained are compared with the results obtained from a traditional age based replacement policy.
A Generic Software Architecture for Prognostics (GSAP)
Authors: Teubert Christopher , J. Daigle Matthew , Sankararaman Shankar , Goebel Kai , Watkins Jason
Published: March 2021

Prognostics is a systems engineering discipline focused on predicting end-of-life of components and systems. As a relatively new and emerging technology, there are few fielded implementations of prognostics, due in part to practitioners perceiving a large hurdle in developing the models, algorithms, architecture, and integration pieces. Similarly, no open software frameworks for applying prognostics currently exist. This paper introduces the Generic Software Architecture for Prognostics (GSAP), an open-source, cross-platform, object-oriented software framework and support library for creating prognostics applications. GSAP was designed to make prognostics more accessible and enable faster adoption and implementation by industry, by reducing the effort and investment required to develop, test, and deploy prognostics. This paper describes the requirements, design, and testing of GSAP. Additionally, a detailed case study involving battery prognostics demonstrates its use.