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Peranan Pengelolaan Keuangan Badan Usaha Milik Kampung dalam Meningkatkan Perekonomian Masyarakat Kampung Paya Kulbi Sugama, Yoga; Yahya, M.; Safwandi
JIM: Jurnal Ilmiah Mahasiswa Vol 6, No 1 (2024): April 2024
Publisher : Fakultas Ekonomi dan Bisnis Islam IAIN Langsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32505/jim.v6i1.6823

Village development must also be pursued in order to improve the economy towards the quality of life and welfare of the community. One way to accelerate the economic growth of the Village Community is to establish a Village-Owned Enterprise (BUMK). Village-Owned Enterprises (BUMK) have a very important financial management role in the form of Village Funds. The purpose of this study was to determine the role of Financial Management of Village-Owned Enterprises, factors that influence Village-Owned Enterprises and obstacles to Village-Owned Enterprises (BUMK) in improving the economy of Paya Kulbi Village, Karang Baru District. This research method uses a Descriptive Qualitative Approach Research type. Research data collected based on the results of observations, interviews and documentation. Data Analysis Tools used are Data Reduction, Data Presentation and Conclusion Drawing. The results of this study indicate that the financial management of the Baguna Village-Owned Business Entity goes through the Planning stage, which is carried out through the building planning deliberation meeting according to the Basic Budget. Implementation is carried out by making proposals until business activities run. Administration is carried out by writing and recording financial reports in the daily cash book. Financial reporting accountability is carried out twice a year. Supervision is carried out in the form of guidance from the District Office and Datok Penghulu

Rancang Bangun Sistem Pakar Berbasis Website untuk Rekomendasi Pengobatan Penyakit Secara Herbal Menggunakan Metode Forward Chaining Nisak, Fazlun; Safwandi; Maryana
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 9 (2025): JPTI - September 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.1025

Indonesia memiliki keanekaragaman hayati yang mencakup berbagai jenis tumbuhan yang berpotensi menjadi obat herbal. Namun, masih banyak orang yang belum mengenal berbagai jenis tanaman herbal dan efektivitasnya dalam menyembuhkan penyakit. Sebagai hasilnya, mereka lebih cenderung memilih obat-obatan kimia yang berisiko menimbulkan lebih banyak efek samping daripada obat herbal. Studi ini bertujuan untuk menciptakan sebuah sistem pakar berbasis web yang sederhana, cepat, mudah diakses, dan dapat digunakan kapan saja sehingga memudahkan masyarakat dalam memilih obat herbal. Sistem dikembangkan dengan metode Forward Chaining, yang memungkinkan untuk menarik kesimpulan dari gejala menuju diagnosis penyakit serta rekomendasi pengobatan yang tepat. Penelitian ini menghasilkan sebuah sistem pakar yang bisa membantu pengguna dalam mengidentifikasi penyakit berdasarkan gejala serta memberikan saran pengobatan herbal yang sesuai dan mudah dimengerti. Pengembangan sistem ini memberikan dampak positif bagi masyarakat dalam beberapa aspek. Pertama, sistem ini meningkatkan kesadaran dan pengetahuan masyarakat mengenai penggunaan tanaman obat sebagai alternatif pengobatan yang lebih aman dan minim efek samping dibandingkan obat kimia. Kedua, sistem ini mendukung pelestarian dan pemanfaatan kekayaan hayati Indonesia, khususnya tanaman obat tradisional. Ketiga, penerapan teknologi informasi melalui sistem pakar ini memperkuat integrasi antara pengobatan tradisional dan inovasi digital, sehingga dapat mendukung layanan kesehatan berbasis kearifan lokal secara lebih luas dan berkelanjutan.

Peranan Pengelolaan Keuangan Badan Usaha Milik Kampung dalam Meningkatkan Perekonomian Masyarakat Kampung Paya Kulbi Sugama, Yoga; Yahya, M.; Safwandi
JIM: Jurnal Ilmiah Mahasiswa Vol 6, No 1 (2024): April 2024
Publisher : Fakultas Ekonomi dan Bisnis Islam IAIN Langsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32505/jim.v6i1.6823

Village development must also be pursued in order to improve the economy towards the quality of life and welfare of the community. One way to accelerate the economic growth of the Village Community is to establish a Village-Owned Enterprise (BUMK). Village-Owned Enterprises (BUMK) have a very important financial management role in the form of Village Funds. The purpose of this study was to determine the role of Financial Management of Village-Owned Enterprises, factors that influence Village-Owned Enterprises and obstacles to Village-Owned Enterprises (BUMK) in improving the economy of Paya Kulbi Village, Karang Baru District. This research method uses a Descriptive Qualitative Approach Research type. Research data collected based on the results of observations, interviews and documentation. Data Analysis Tools used are Data Reduction, Data Presentation and Conclusion Drawing. The results of this study indicate that the financial management of the Baguna Village-Owned Business Entity goes through the Planning stage, which is carried out through the building planning deliberation meeting according to the Basic Budget. Implementation is carried out by making proposals until business activities run. Administration is carried out by writing and recording financial reports in the daily cash book. Financial reporting accountability is carried out twice a year. Supervision is carried out in the form of guidance from the District Office and Datok Penghulu

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

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 Î±=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%.

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

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.

Sosialisasi Peran Relawan Pajak Kota Langsa dalam Melakukan Pendampingan Wajib Pajak Safwandi
SEURAYA Jurnal Pengabdian Kepada Masyarakat Vol 1 No 1 (2023): SEURAYA: Jurnal Pengabdian kepada Masyarakat
Publisher : Fakultas Ekonomi dan Bisnis Islam Institut Agama Islam Negeri Langsa

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

Tujuan dari sosialisasi ini adalah untuk memberikan pemahaman peran relawan pajak dalam mendampingi wajib pajak. Relawan Pajak merupakan mahasiswa di Fakultas Ekonomi dan Bisnis Islam IAIN Langsa ikut berpartisipasi dalam mensosialisasi dan mengedukasi terkait perpajakan dalam memberikan pelayanan kepada wajib pajak. Pengabdian ini ditunjukkan melalui pelayanan, edukasi, dan sosialisasi pembayar pajak didukung oleh relawan pajak sehingga berdampak pada layanan maksimal dengan nilai-nilai dasar yang harus ditanam bagi relawan pajak. Relawan pajak dapat membantu wajib pajak melakukan pelaporan pajak tahunan SPT tahunan sehingga wajib pajak menjadi lebih mudah dan lebih cepat. Relawan pajak memandu wajib pajak untuk pembayar pajak didalam menyelesaikan SPTnya. Relawan pajak akan memberikan kemudahan dan membantu wajib pajak dalam proses kesulitan di dalam menyelesaikan SPT yang masyarakat miliki. Harapan dari pengabdian ini agar relawan pajak memahami sistem pembayaran wajib pajak, punya kepercayaan diri dalam melayani wajib pajak dan mampu melayani wajib pajak lebih efektif menyelesaikan SPT Tahunan.

Application of Genetic Algorithm and Or-Tools for Cloud-Based Course Scheduling Optimization Jabbar, Salamul; Safwandi; Kurniawati; Eva Darnila; Fuadi, Wahyu
INOVTEK Polbeng - Seri Informatika Vol. 11 No. 1 (2026): February
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/qymmt569

Course scheduling in higher education institutions is a complex combinatorial optimization problem involving numerous constraints such as lecturer availability, room capacity, time slots, and course distribution across semesters. Manual scheduling practices often result in conflicts, inefficient resource utilization, and prolonged preparation time. This study proposes a hybrid course scheduling system that integrates a genetic algorithm (GA) and constraint programming using the CP-SAT solver from OR-Tools. The GA is employed in the first phase to generate optimal course sections based on student enrollment, lecturer workload, and capacity constraints. The best solution produced by the GA is then refined using CP-SAT to generate a conflict-free timetable that satisfies all hard constraints, including lecturer, room, and time conflicts, while also optimizing selected soft constraints. The proposed system is implemented as a web-based application deployed on Microsoft Azure, enabling scalability and accessibility. Experimental results using real academic data demonstrate that the hybrid approach successfully produces feasible schedules with zero conflicts and significantly reduces scheduling time compared to manual methods. The results confirm that the integration of GA and CP-SAT provides an effective and flexible solution for university course scheduling problems.

Student Graduation Prediction System In the MBKM Program Using The Mamdani Fuzzy Method Muthiah Riani Harahap; Safwandi; Rini Meiyanti
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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

This study aims to develop a graduation prediction system for the MBKM Program using the Fuzzy mamdani method. The system is designed to process various academic criteria such as GPA, internship experience, and other supporting documents to provide an accurate projection of graduation probability. The implementation was carried out using data from 61 students of the Informatics Engineering Department at Universitas Malikussaleh. The Fuzzy mamdani method was applied through stages of fuzzification, rule formation, fuzzy inference, and defuzzification to produce the final prediction. The test results show that this method is effective in handling uncertainty and provides a high prediction accuracy, where 67% of students were predicted to graduate, and 33% were not. This system can be used by academic staff to evaluate student performance and provide more precise guidance, as well as to help students plan their studies to achieve graduation in the MBKM Program.

HUBUNGAN KAUSALITAS GRANGER ANTARA INFLASI DAN PEMBIAYAAN DENGAN DEPOSITO MUDHARABAH BANK SYARIAH DI INDONESIA Maulana, Zefri; Hisan, Khairatun; M. Yahya; Safwandi; Sri Ramadhani
Jurnal Tabarru': Islamic Banking and Finance Vol. 9 No. 1 (2026): Jurnal Tabarru' : Islamic Banking and Finance
Publisher : Department of Islamic Banking, Faculty of Islamic Studies, Islamic University of Riau (UIR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jtb.2026.vol9(1).28383

Penelitian ini mengkaji pengaruh faktor internal dan eksternal, yaitu pembiayaan dan inflasi, terhadap deposito mudharabah pada perbankan syariah di Indonesia. Minat masyarakat dalam menempatkan dana sebagai simpanan pihak ketiga memiliki peran penting dalam pertumbuhan bank syariah, khususnya melalui produk deposito mudharabah. Penelitian ini menggunakan data sekunder yang diperoleh dari laporan keuangan Bank Umum Syariah (BUS) yang dipublikasikan oleh Otoritas Jasa Keuangan dan Badan Pusat Statistik selama periode 2018–2024. Sampel penelitian terdiri dari lima Bank Umum Syariah. Data dianalisis menggunakan regresi data panel dan analisis kausalitas Granger untuk menguji hubungan.Temuan penelitian menunjukkan bahwa inflasi memiliki pengaruh yang lemah terhadap deposito mudharabah, sedangkan pembiayaan memiliki pengaruh positif yang signifikan. Analisis kausalitas Granger menunjukkan tidak adanya hubungan satu arah maupun dua arah antara inflasi dan deposito mudharabah pada sebagian besar bank. Namun, BCA Syariah dan Mega Syariah menunjukkan adanya hubungan satu arah dengan inflasi. Pembiayaan dan deposito mudharabah juga menunjukkan hubungan satu arah yang terbatas pada beberapa bank. Pembiayaan merupakan faktor penting yang mempengaruhi deposito mudharabah, sedangkan inflasi memiliki dampak yang relatif kecil. Temuan ini mengimplikasikan bahwa bank syariah perlu memperkuat kinerja pembiayaan untuk meningkatkan kepercayaan masyarakat dan pertumbuhan deposito.

COMPARING SIMPLE EXPONENTIAL SMOOTHING AND ADVANCED TIME SERIES FORECASTING FOR CEMENT STOCK PREDICTION AT PT. SOLUSI BANGUN ANDALAS Uzia Ulfa; Sujacka Retno; Safwandi
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6483

Accurate cement stock prediction is crucial for optimizing supply chain management, ensuring operational efficiency, and achieving long-term sustainability and profitability within the global cement industry. Inaccurate predictions can lead to significant costs due to overstocking or stockouts, impacting customer satisfaction and overall economic development. The complex market environment and dynamic demand fluctuations within the construction sector further exacerbate these challenges. This study compares time series forecasting algorithms to predict cement stock levels. The methodologies investigated include traditional statistical models: Simple Moving Average (SMA), Double Moving Average (DMA), Simple Exponential Smoothing (SES), and Double Exponential Smoothing (Holt's Method). Additionally, advanced machine learning and deep learning models, namely ARIMA (Autoregressive Integrated Moving Average), LSTM (Long Short-Term Memory), and Prophet, are also evaluated. This research aims to identify the most suitable algorithm for cement stock forecasting by assessing their performance using standard metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE). Initial findings from existing literature suggest that while traditional methods offer simplicity, modern models like LSTM often achieve superior accuracy for complex and non-linear patterns, whereas Prophet excels at automatically handling seasonality and missing data.ARIMA provides computational efficiency for simpler, stationary patterns but may struggle with non-linearity. This study contributes to the field by providing a structured comparison of diverse forecasting techniques specifically tailored for cement inventory, offering practical guidance for industry practitioners and informing strategic decision-making in supply chain optimization.

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