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All Journal Jurnal Teknologi Terpadu Buletin Pengabdian Jurnal Ekonomi, Akuntansi dan Perpajakan Jurnal Ilmiah Ekonomi, Akuntansi dan Pajak International Journal of Economics and Management Sciences International Journal of Economics, Management and Accounting Akademika Jurnal Teknologi Pendidikan
suhendi suhendi
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Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Public Health Social Sciences

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PENGEMBANGAN SISTEM E-LEARNING DI STT TERPADU NURUL FIKRI MENGGUNAKAN MOODLE suhendi suhendi
Jurnal Teknologi Terpadu Vol. 2 No. 1: Juli, 2016
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v2i1.48

Abstract

Penggunaan sistem e-learning sebagai media pembelajaran sangatlah berkembang pesat di era globalisasi saat ini. STT Terpadu Nurul Fikri sendiri sudah menerapkan sistem e-learning menggunakan moodle versi 2.3 dalam menunjang proses belajar-mengajar. Namun dalam penerapannya masih terdapat beberapa permasalahan pada sistem e-learning tersebut. Diperlukan pengembangan sistem e-learning di STT Terpadu Nurul Fikri menggunakan moodle versi 2.9 yang bertujuan untuk mengoptimalkan proses belajar-mengajar dan memudahkan penggunanya. Metode pengembangan sistem yang digunakan dalam penelitian ini adalah Rapid Application Development (RAD) dan Unified Modeling Language (UML). Adapun fase dalam metode pengembangan sistem RAD tersebut meliputi requirement planning, user design, contruction dan cutover. UML digunakan sebagai alat bantu modeling yang hanya meliputi tahapan use case dan activity diagram. Hasil dari kegiatan penelitian ini adalah sistem e-learning di STT Terpadu Nurul Fikri menggunakan moodle versi 2.9 dengan tingkat pengujian melalui kuesioner 78,7% (kuat) dapat dikatakan layak untuk diterapkan di STT Terpadu Nurul Fikri.Hasil penelitian bisa dapat diakses melalui alamat url berikut : http:// elen.nurulfikri.ac.id/.
Community empowerment for environmental and social improvement in Panancangan Village, Lebak, Banten [Pemberdayaan masyarakat dalam rangka peningkatan ekonomi dan sosial di Desa Panancangan, Lebak, Banten] Nindya Farah Dwi Puspitasari; Ratna Marta Dhewi; Fawzi Rahmadiyan Zuhairi; Rakhmini Juwita; Agus Prasetyo; Risma Nurkhalifah; Suhendi Suhendi
Buletin Pengabdian Vol 4, No 2 (2024): Bull. Community. Serv.
Publisher : The Institute for Research and Community Services (LPPM) Universitas Syiah Kuala (USK)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/bulpengmas.v4i2.38110

Abstract

Panancangan Village is located in Cibadak Sub-District, Lebak District, Banten Province. Several village residents had professions as oyster mushroom farmers and the results of cultivating these mushrooms could provide residents with an income of IDR 11,000 per kilo. During initial observations, the community empowerment team found that there were two main problems. The first was environmental problem. The environment around the village office looked barren and the air around the village feels very hot during the day. The second was social problem. Lack of residents’ skills and knowledge in the fields of mushroom management and food packaging, product marketing, and entrepreneurship, causes farmers to only sell their mushrooms in raw form. The objectives of this community service are providing education to village residents to increase environmental conservation awareness and increasing social development through training and education. Method used is through training both non-practical and practical training in plant cultivation and oyster mushroom management, food packaging, marketing, and entrepreneurship. The evaluation results showed that the training was effective and provided positive benefits for environmental and social improvements.
Analisis Pengaruh Pendalaman Sektor Keuangan dan Cadangan Devisa Terhadap Nilai Tukar Mata Uang Indonesia, Malaysia, dan Filipina Kardina Siregar; Yuli Ariani; Rusiadi Rusiadi; Suhendi Suhendi; Lia Nazliana Nasution
Jurnal Ekonomi, Akuntansi, dan Perpajakan Vol. 1 No. 2 (2024): Mei : Jurnal Ekonomi, Akuntansi, dan Perpajakan (JEAP)
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jeap.v1i2.125

Abstract

This research aims to analyze the influence of financial sector deepening and foreign exchange reserves on currency exchange rates in Indonesia, Malaysia and the Philippines. The variables in this research are exchange rate, GDP, credit interest rates, money supply, foreign exchange reserves. This research uses secondary data taken from WorldBank in 2005-2022. The data analysis technique used is the Autoregressive Distributed Lag (ARDL) panel. The research results from the ARDL model analysis show that the countries that are able to become lead indicators for KURS tariff stability are Indonesia and Malaysia. This is because all the variables or indicators in the research, namely (Foreign Exchange Reserves, GDP, JUB and Credit Interest Rates) in these countries have a significant effect on the KURS, while CDV, GDV and JUB do not have a significant effect on the KURS. in the Philippines, only the SBK variable has a significant effect on the KURS in the Philippines. If we look at short-term and long-term stability, the Unemployment Rate variable, both short-term and long-term, has a significant effect on KURS stability.
Model Pengeluaran Pemerintah dan Pertumbuhan Ramah Lingkungan Berdasarkan Konsumsi Energi Ramah Lingkungan di Indonesia Rizka Fadillah; Muhammad Fauzan Pratama; Toni Toni; Rusiadi Rusiadi; Suhendi Suhendi; Lia Nazliana Nasution
Jurnal Ilmiah Ekonomi, Akuntansi, dan Pajak Vol. 1 No. 2 (2024): Juni : Jurnal Ilmiah Ekonomi, Akuntansi, dan Pajak (JIEAP)
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jieap.v1i2.126

Abstract

This research aims to determine the effect of the government expenditure model and green growth based on green energy consumption in Indonesia which has 4 variables, namely carbon emissions, energy consumption, economic growth and government expenditure. The analytical method used in this research is the Vector Auto Regression (VAR) model with the Impulse Response Function (IRF) test, Forecast Error Varince Decomposition (FEVD), stationarity test, cointegration test, structural lag stability test, and optimal lag length test. . The results of the Vector Autoregression research using lag 1 as the basis show the contribution of each variable to the variable itself and other variables. The results of the Vector Autoregression analysis also show that the past variable (t-1) contributes to the current variable, both the variable itself and other variables. From the results of the analysis, there is a reciprocal relationship between one variable and another variable. Response Function Analysis shows the response of other variables to changes in a variable in the short, medium and long term, and it is known that the stability of the response of all variables is formed within a period of 5 years or the medium term. and long term. Variance Decomposition Analysis shows that there are variables that have the largest contribution to the variable itself in the short, medium and long term, such as CO2, EC, and GOV. Meanwhile, another variable that has the greatest influence on the variable itself in the short, medium and long term is CO2 which is strongly influenced by GOV and GDP.
Integration Of Green Monetary and Green Fiscal Policies In Supporting The Effectiveness Of Economic Transformation Towards Development Sustainable In Indonesia Putri Valentine; Sabilayana Sabilayana; Rusiadi Rusiadi; Suhendi Suhendi; Lia Nazliana Nasution
International Journal of Economics, Management and Accounting Vol. 1 No. 2 (2024): June : International Journal of Economics, Management and Accounting
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijema.v1i2.52

Abstract

This research aims to determine Renewable Energy, Emission Intensity, Life Expectancy, and Unemployment Rate on Gross National Income (GNI) in Estonia, Finland, Germany, Hungary, and Norway. The variables in this research are Renewable Energy, Emission Intensity, Life Expectancy, and Unemployment Rate as independent variables, while the Gross National Income variable is the dependent variable. This research uses secondary data taken from the OECD from 2011-2023. The data analysis technique used is the Autoregressive Distributed Lag (ARDL) panel. The research results from the ARDL model analysis show that the country that is able to become a leading indicator for the stability of the GNI rate is only Norway. This is because all the variables or indicators in the research, namely (Renewable Energy, Life Expectancy, and Unemployment Rate), this country has a significant effect on GNI. while the Emission Intensity variable does not have a significant effect on GNI. If we look at the stability of the short run and long run, the Unemployment Rate variable, both in the short and long term, significantly controls the stability of GNI.
ANALISIS PENERIMAAN SISWA MAN 1 METRO TERHADAP PENGGUNAAN MEDIA SOSIAL DALAM PEMBELAJARAN BIOLOGI DI MASA PANDEMI COVID-19 Halimah Sa'diah; Nasrul Hakim; Yudiyanto Yudiyanto; Suhendi Suhendi
Akademika Vol 11 No 01 (2022): Akademika : Jurnal Teknologi Pendidikan
Publisher : Akademika : Jurnal Teknologi Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34005/akademika.v11i01.1764

Abstract

The purpose of this study was to find out how the use of social media and student acceptance of the use of social media in biology learning during the Covid-19 pandemic was. This research is qualitative research using the case study method. The research subjects were biology teachers and students of MAN 1 Metro. The instruments used are questionnaires and interviews distributed via a google form. Data analysis used Milles & Huberman interactive analysis technique. The results showed that the use of social media in biology learning during the Covid-19 pandemic helped students in learning. This was evidenced by the data obtained from 3 indicators of student acceptance of Perceived Usefulness (PU) student responses as much as 7% Strongly Agree, 33% Agree, 29% Neutral, 26% Disagree, and 5% Strongly Disagree, from the Perceived Ease of Use Perceived Easy of Use (PEOU) student responses as much as 22% Strongly Agree, 48% Agree, 19% Neutral, 9% No Agree, and 2% Strongly Disagree, and from Perceptions of Behavior to Continue Using Behavioral Intention to Use student responses are 8% Strongly Agree, 15% Agree, 29% Neutral, 30% Disagree, and 18 Strongly Disagree. From these results, it can be concluded that social media can be used as an alternative media in learning with conditions that do not allow face-to-face learning, especially during the Covid-19 pandemic.
Employment Development Strategies to Support Economic Growth in North Sumatra Syukur Laoli; Annisa Ilmi Faried; Suhendi Suhendi; Lia Nazliana Nasution
International Journal of Economics and Management Sciences Vol. 2 No. 3 (2025): Agustus : International Journal of Economics and Management Sciences
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijems.v2i3.889

Abstract

This study explores employment development strategies aimed at bolstering economic growth in North Sumatra Province using the Vector Autoregression (VAR) model and an eighteen-year time series dataset. The variables analyzed include the Human Development Index (HDI), total population, Gross Regional Domestic Product (GRDP), Labor Force Participation Rate (LFPR), and Open Unemployment Rate (OUR). The estimation results reveal dynamic interrelationships among these variables over short, medium, and long-term periods. The VAR analysis with a lag of 2 illustrates how each variable contributes to both itself and the other variables. It also shows that past variables (t-1) significantly impact current variables. Furthermore, the response function analysis identifies how a change in one variable is responded to by others across different time horizons. Stability analysis confirms that all variables maintain medium-to-long-term stability over a five-year period. The Forecast Error Variance Decomposition (FEVD) highlights HDI, population, and GRDP as the most influential variables in shaping the employment system and economic development overall. The VAR model used meets the stability test criteria, making the findings a reliable basis for policy research.
Co-Authors Agus Prasetyo Faried, Annisa Ilmi Fawzi Rahmadiyan Zuhairi Halimah Sa'diah Kardina Siregar Lia Nazliana Nasution Muhammad Fauzan Pratama Nasrul Hakim Nindya Farah Dwi Puspitasari Putri Valentine Rakhmini Juwita Ratna Marta Dhewi Risma Nurkhalifah Rizka Fadillah Sabilayana Sabilayana Syukur Laoli Toni Toni Yudiyanto Yudiyanto Yuli Ariani