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All Journal Desimal: Jurnal Matematika Ihtiyath : Jurnal Manajemen Keuangan Syariah Jurnal Investasi Islam Dimensi Matematika : Jurnal Pendidikan dan Pembelajaran Matematika Journal Research of Economics and Bussiness Jurnal Ilmiah Mahasiswa An-Nisbah: Jurnal Ekonomi Syariah Seuraya Jurnal Pengabdian Kepada Masyarakat
Safwandi
IAIN Langsa
Religion Arts Humanities Chemistry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics Social Sciences

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MENDESAIN MULTIMEDIA PEMBELAJARA DESIGN THE MULTIMEDIA LEARNING OF MATHEMATICS USING GUI MATLAB Safwandi
Jurnal Dimensi Matematika Vol 3 No 01 (2020): JURNAL DIMENSI MATEMATIKA
Publisher : Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/jdm.v3i01.2543

Abstract

GUI (Graphical User Interface) is a MATLAB tool as multimedia or a tool that can be used in learning mathematics. MATLAB is a high-performance programming language for computing science or mathematical problems. MATLAB integrates computation, algorithm building, data acquisition, modeling, simulation and prototyping, data analysis, exploration, visualization. The GUI toolbox available in MATLAB can be used to build multimedia applications for learning mathematics. With graphic objects such as buttons, text boxes, sliders, menus and others, it helps someone design mathematics learning media as desired.
Pengaruh Pengetahuan, Kemudahan dan Risiko Terhadap Keputusan Penggunaan Quick Response Indonesian Standart (QRIS) Zikriatul Ulya Zikri; Safwandi; Miftahul Jannah
Journal Research of Economic and Bussiness Vol. 2 No. 01 (2023): Januari 2023
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jreb.v2i01.230

Abstract

This study aims to determine the effect of knowledge of use, convenience and risk on the decision to use QRIS in Langsa City Supermarkets. This study uses quantitative research to determine the effect of knowledge, benefits and risks on the decision to use QRIS at the Langsa City supermarket. The population of this research is all people of Langsa City who shop and make payments using QRIS and it is not known how many. The sampling technique in this study used Accidental Sampling which is a sampling technique based on chance, that is, anyone who coincidentally meets the researcher can be used as a sample using the Wibisono formula, the number of samples in this study was 96 respondents. The results showed that the tcount of knowledge was 3.341 > from ttable of 1.661, with a significance value of 0.002 < alpha 0.05. The t-count value of the convenience is 2.462> from the t-table of 1.661, with a significance value of 0.018 <0.05, then Ha2 is accepted. The tcount value of risk is 4.922> from ttable of 1.661, with a significance value of 0.000 <0.05, then Ha3 is accepted. The results showed that simultaneously the variables of knowledge, convenience and risk had a positive and significant influence on the decision to use QRIS at the Langsa City Supermarket. This can be seen by the value of Fcount = 20,695> from Ftable 2.47 with a significance value of 0.000.
Time Series Model Using Autoregressive Integrated Moving Average (ARIMA) Method For Inflation In Indonesia Safwandi
Jurnal Investasi Islam Vol 8 No 1 (2023): Jurnal Investasi Islam
Publisher : FEBI IAIN Langsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32505/jii.v8i1.5891

Abstract

Inflation are related to changes in the price of an item that have the potential to change the market in the short term and create a certain monetary policy. Inflation data tends to fluctuate from time to time, so it is interesting to make useful predictions to provide information on future inflation rates. The consumer price index indicator, which is the best benchmark for inflation, is the main inflation indicator. This research focuses on time series modeling using the autoregressive integrated and moving average (ARIMA) method. Fluctuating data results in the desired model determination and forecasting is carried out so that it is likely to occur in the future. The results showed that inflation predictions for the period January 2010 to December 2022 were obtained using the autoarima model (0,1,1)(1,0,2)[12] with an error value of MAPE 6.61%, RMSE of 0.42 with a p-test level value α=5%. From the prediction results, it is obtained that the average in the first quarter is 5.44% in the coming year and gradually decreases with a range of 3% - 4%.
Sistem Pemungutan Pajak Kendaraan secara Online, Offline, dan Sanksi Perpajakan terhadap Kepatuhan Membayar Pajak Kendaraan Bermotor di Kota Langsa bin Mustafa, Fakhrizal; Safwandi; Ramadandi Isni
Jurnal Investasi Islam Vol 8 No 1 (2023): Jurnal Investasi Islam
Publisher : FEBI IAIN Langsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32505/jii.v8i1.5892

Abstract

Penelitian ini dilakukan untuk mengetahui pengaruh sistem pemungutan pajak kendaraan secara online, offline dan sanksi perpajakan terhadap kepatuhan membayar pajak kendaraan bermotor di Kota Langsa. Penelitian ini menggunakan metode kuantitatif dengan analisis model regresi berganda. Data penelitian berupa data primer yang diperoleh dari responden dengan menggunakan instrumen pengumpulan data berupa kuesioner. Populasi dalam penelitian ini adalah semua wajib pajak kendaraan bermotor dimana sampel diambil pada wajib pajak pemilik motor dari tahun 2015 ke atas. Hasil penelitian menunjukkan bahwa sistem pemungutan pajak kendaraan secara online berpengaruh positif dan signifikan terhadap kepatuhan membayar pajak kendaraan bermotor di Kota Langsa. Sementara sistem pemungutan pajak kendaraan secara offline berpengaruh negatif dan tidak signifikan terhadap kepatuhan membayar pajak kendaraan bermotor di Kota Langsa. Untuk sanksi perpajakan berpengaruh positif dan signifikan terhadap kepatuhan membayar pajak kendaraan bermotor di Kota Langsa. Secara simultan pengaruh sistem pemungutan pajak kendaraan secara online, offline dan sanksi perpajakan berpengaruh positif dan signifikan terhadap kepatuhan membayar pajak kendaraan bermotor di Kota Langsa. Sistem pemungutan pajak secara online dapat menjadi alternatif terbaik dalam pelayanan bagi wajib pajak.
Model Time Series untuk Meramalkan Tingkat Kemiskinan di Aceh Safwandi; Zefri Maulana
Jurnal Investasi Islam Vol 9 No 1 (2024): Jurnal Investasi Islam
Publisher : FEBI IAIN Langsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32505/jii.v9i1.8868

Abstract

Poverty tends to occur in developing countries, including Indonesia. Poverty is a complex problem and requires a comprehensive approach in efforts to eradicate it. Handling poverty must be carried out appropriately and cover various aspects of people's lives. The negative impacts of poverty not only affect people's welfare, but also hinder economic development in the long term. Poverty has a negative effect on the economy and social welfare. To determine the prediction of poverty levels, one approach that can be taken is a time series model (time series). In this research, method Autoregressive Integrated Moving Average (ARIMA) is used for analysis and forecasting poverty levels. So that it can provide insight into poverty behavior and take appropriate steps both in controlling and alleviating poverty. ARIMA is a time series forecasting method that is suitable for forecasting various variables quickly, simply, cheaply and accurately. The research results show that the poverty rate for the next three years (2024-2026) is 14.17%, 13.93% and 13.72%, respectively. The ARIMA model is proven to be able to provide fairly accurate predictions and follow actual trends, making it useful for forecasting. The ARIMA(1,1,1) model can be used as a reference for future forecasting. The process of forecasting poverty levels does not only focus on predicting statistical figures, but also includes an in-depth analysis of the factors that cause poverty and the economic dynamics that influence it. This allows the government to develop policies that are more effective and responsive to social and economic changes occurring in society.
THE USE OF MEDIA TECHNOLOGY IN FORMING ONLINE TRANSACTION DECISIONS IN LANGSA CITY COMMUNITIES Kamal, Safwan; Naibaho, Anggi Rezzita; Safwandi, Safwandi; Fakhrizal, Fakhrizal
An-Nisbah: Jurnal Ekonomi Syariah Vol 10 No 2 (2023): An-Nisbah
Publisher : UIN Sayyid Ali Rahmatullah Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21274/an.v10i2.8719

Abstract

Abstrak: Penelitian ini bertujuan untuk mengetahui pengaruh persepsi kemudahan penggunaan, kemanfaatan, sikap, minat dan risiko terhadap keputusan bertransaksi dalam berbelanja online pada masyarakat di Kota Langsa. Metode yang digunakan dalam penelitian ini adalah metode kuantitatif dengan menggunakan analisis regresi berganda. Populasi dalam penelitian ini jumlahnya tidak diketahui sedangkan sampel dalam penelitian ini berjumlah 100 sampel diambil menggunakan rumus lemeshow. Hasil penelitian menunjukkan bahwa secara simultan simultan (keseluruhan) variabel kemudahan, kemanfaatan, sikap, minat dan risiko dapat dilihat dari hasil uji F, dengan nilai Fhitung= 31,798 > dari Ftabel 2,19 dengan nilai signifikansi = 0.000. Adapun secara parsial ditemukan bahwa nilai thitung dari persepsi kemudahan sebesar 2,811 > dari ttabel sebesar 1,660, dengan nilai signifikansi sebesar 0,006 < alpha 0,05. Kedua, hasil penelitian menunjukkan kemanfaatan memiliki nilai thitung sebesar 6,234 > dari ttabel sebesar 1,660, dengan nilai signifikansi sebesar 0,000 < alpha 0,05. Ketiga, hasil penelitian menunjukkan nilai thitung dari persepsi sikap sebesar 2,259 > dari ttabel sebesar 1,660, dengan nilai signifikansi sebesar 0,026 < alpha 0,05. Keempat, hasil penelitian menunjukkan nilai thitung dari minat sebesar 5,025 > dari ttabel sebesar 1,660, dengan nilai signifikansi sebesar 0,006 < alpha 0,000. Kelima, hasil penelitian menunjukkan nilai thitung dari risiko sebesar 3,093 > dari ttabel sebesar 1,660, dengan nilai signifikansi sebesar 0,003 < alpha 0,05. Kata kunci: Technology Acceptance Model (TAM), Keputusan, Kota Langsa. Abstract: This research aims to determine the influence of perceived ease of use, usefulness, attitudes, interests, and risks on transaction decisions in online shopping among people in Langsa City. The method used in this research is a quantitative method using multiple regression analysis. The population in this study is unknown, while the sample in this study was 100 samples taken using the Lemeshow formula. The results of the research show that simultaneously (overall), the variables of convenience, usefulness, attitude, interest, and risk can be seen from the results of the F-test, with a value of F-count = 31.798 > from F-table 2.19 with a significance value = 0.000. Partially, it was found that the t-count value of perceived ease was 2.811 > t-table of 1.660, with a significance value of 0.006 < alpha 0.05. Second, the research results show the usefulness of having a t-count value of 6.234 > from a t-table of 1.660, with a significance value of 0.000 < alpha 0.05. Third, the research results show that the t-count value for perceived attitudes is 2.259 > t-table of 1.660, with a significance value of 0.026 < alpha 0.05. Fourth, the research results show that the t-count value of interest is 5.025 > t-table of 1.660, with a significance value of 0.006 < alpha 0.000. Fifth, the research results show that the t-count value of risk is 3.093 > t-table of 1.660, with a significance value of 0.003 < alpha 0.05. Keywords: Technology Acceptance Model (TAM), Decision, Kota Langsa
Pemodelan Nilai Tukar Rupiah Terhadap Dolar: Implikasi Praktis Melalui Pendekatan Regresi Linear Dan Nonlinear Safwandi; M. Yahya; Muhammad Riza; Muhammad Dayyan
IHTIYATH : Jurnal Manajemen Keuangan Syariah Vol 9 No 1 (2025): Ihtiyath : Jurnal Manajemen Keuangan Syariah
Publisher : Fakultas Ekonomi dan Bisnis Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32505/ihtiyath.v9i1.12426

Abstract

Penelitian ini mengkaji tren nilai tukar Rupiah terhadap Dolar Amerika Serikat (IDR/USD) dengan tujuan memodelkan pola jangka menengah secara efektif menggunakan model regresi linier dan nonlinier. Nilai tukar menunjukkan volatilitas jangka pendek yang signifikan, yang menjadi tantangan utama dalam pemodelan, sehingga diperlukan pendekatan yang mampu menangkap tren mendasar di luar fluktuasi sementara. Metode penelitian mencakup analisis tren nilai tukar menggunakan regresi linier dan nonlinier, pengujian signifikansi koefisien regresi, serta evaluasi kemampuan model dalam menjelaskan variasi data yang diamati dan memproyeksikan tren jangka menengah. Hasil analisis menunjukkan bahwa model regresi kuadratik berhasil menjelaskan sekitar 70,9% variasi nilai tukar, dengan koefisien kuadrat yang signifikan secara statistik, menandakan percepatan dalam tren kenaikan Rupiah terhadap Dolar selama periode pengamatan. Temuan ini menegaskan efektivitas model kuadratik untuk memproyeksikan tren jangka menengah, meskipun model ini memiliki keterbatasan dalam menangani volatilitas jangka pendek. Implikasi dari penelitian ini sangat relevan bagi perumusan kebijakan moneter dan pengelolaan risiko valuta asing, khususnya dalam merancang strategi stabilisasi nilai tukar yang lebih adaptif terhadap dinamika pasar. Selain itu, studi ini merekomendasikan pengembangan model komplementer untuk meningkatkan akurasi prediksi volatilitas jangka pendek, sehingga memungkinkan perencanaan kebijakan dan strategi manajemen risiko yang lebih responsif dan berbasis data empiris.
Empowering the UMKM Economy, BUMK and Halal Tourism to Improve the Economy in Pengidam Kurlillah, Anis; Rizki, Maulana; Lina, Siti Rosa; Muzakir; Nita; Safwandi
SEURAYA Jurnal Pengabdian Kepada Masyarakat Vol 1 No 1 (2023): SEURAYA Jurnal Pengabdian kepada Masyarakat
Publisher : Fakultas Ekonomi dan Bisnis Islam IAIN Langsa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This community service activity aims to overcome the economic problems that occur in Pengidam Village so that the utilization of village funds or other sources can be more optimally focused on the village's economic potential. The problem that occurs in Pengidam Village is the lack of public awareness in improving the economy from supporting sectors including: BUMK (Village-Owned Enterprises), UMKM (Micro, Small and Medium Enterprises) and Tourism. This sector is a fulcrum in developing the village economy so that it is more advanced and becomes a pilot village in the region, especially in Aceh Tamiang District, Aceh Province. Increasing knowledge and digitalization is one of the indicators in economic development both in terms of legality, packaging and marketing of a product from the UMKM sector. Keywords: UMKM, BUMK, and Halal Tourism
Prediction of refugee arrivals abroad in indonesia using exponential smoothing model Safwandi; Afrizal Refo; Budi Irwansyah; Ine Zunianti
Desimal: Jurnal Matematika Vol. 8 No. 3 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v8i3.202529168

Abstract

The trend of refugee arrivals in Indonesia has become a pressing issue due to global conflicts, wars, and human rights violations. Accurate forecasting of these arrivals is crucial for effective planning and resource allocation by governmental and humanitarian organizations. This study aims to forecast refugee arrivals in Indonesia using exponential smoothing models, providing reliable predictions to support evidence-based decision-making and strategic policy planning. The dataset used in this research was obtained from the official UNHCR Indonesia repository, covering the period from April 2020 to July 2023. An exponential smoothing framework was employed, incorporating both single-parameter and two-parameter (Holt’s) models. The smoothing constants were optimized at α = 1.00 and β = 0.1237509, representing the level (Ft) and trend (Lt) components, respectively. A quantitative evaluation using key error metrics showed that both single-parameter and two-parameter (Holt’s) models captured data patterns accurately. The two-parameter model outperformed the single-parameter model (MAPE = 0.66, MAE = 84.57, RMSE = 132.63) and projected arrivals of 12.005, 11.913, and 11.821 for the next three periods. These results indicate that Holt’s model effectively represents the temporal dynamics of refugee inflows and provides a data-driven framework to support evidence-based refugee management and strategic policy planning in Indonesia.
The Effect of Liquidity and Solvency on Return on Assets: Evidence from Property and Real Estate Companies Listed in the Jakarta Islamic Index 70 Alfian; Putri Meiliana; Safwandi; Safwan Kamal
JIM: Jurnal Ilmiah Mahasiswa Vol. 8 No. 2 (2026): Juli - Oktober 2026
Publisher : Fakultas Ekonomi dan Bisnis Islam IAIN Langsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32505/jim.v8i2.15488

Abstract

This study aims to analyze the effect of liquidity and solvency ratios on financial performance, as measured by Return on Assets (ROA), in property and real estate companies listed on the Jakarta Islamic Index 70 (JII70) during the 2019–2024 period. The study was motivated by fluctuations in the property sector and the importance of financial management in maintaining corporate profitability. A quantitative approach was employed using secondary data obtained from the annual financial reports of selected companies. The sample consisted of eight companies selected through purposive sampling. Data were analyzed using panel data regression with the Fixed Effects Model (FEM) as the most appropriate estimation model. The results indicate that the Debt-to-Equity Ratio (DER) has a negative and significant effect on ROA. Meanwhile, the Current Ratio (CR), Cash Ratio, Debt-to-Asset Ratio (DAR), and Long-Term Debt-to-Equity Ratio (LTDER) do not individually have a significant effect on ROA. However, the simultaneous test reveals that liquidity and solvency variables collectively have a significant effect on financial performance. The adjusted R-squared value of 0.5998 indicates that approximately 59.98% of the variation in ROA can be explained by the liquidity and solvency variables included in the model, while the remaining 40.02% is influenced by other factors beyond the scope of this study. These results suggest that financial performance is not determined solely by liquidity and solvency conditions but is also affected by other internal and external factors. Therefore, maintaining an appropriate balance between liquidity and leverage is essential for improving profitability and supporting sustainable financial performance.
Co-Authors Afrizal Refo Alfian Anis Kurlillah bin Mustafa, Fakhrizal Budi Irwansyah Fakhrizal Fakhrizal, Fakhrizal Ine Zunianti Kamal, Safwan Lina, Siti Rosa M. Yahya Miftahul Jannah Muhammad Dayyan Muhammad Riza Muzakir Naibaho, Anggi Rezzita Nita Putri Meiliana Ramadandi Isni Rizki, Maulana Safwan Kamal Zefri Maulana Zikriatul Ulya Zikri