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All Journal Indonesian Journal of Artificial Intelligence and Data Mining J-SAKTI (Jurnal Sains Komputer dan Informatika) JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jutsi: Jurnal Teknologi dan Sistem Informasi Jurnal Teknisi J-SAKTI (Jurnal Sains Komputer dan Informatika) J-Com (Journal of Computer)
Sena, Maulana Dwi
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Social Sciences

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Food Stock Analysis with the Utilization of the Single Moving Average Method Febrianti, Intan; Hambali, Hambali; Sena, Maulana Dwi
Indonesian Journal of Artificial Intelligence and Data Mining Vol 8, No 2 (2025): July 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v8i2.36134

Abstract

A grocery store is a store that sells daily necessities. Nine basic ingredients or better known as basic necessities are the type of business that anyone needs. The community needs a grocery store that sells daily necessities at affordable prices and close to the neighborhood. Sahriul Grosir is a business engaged in the sale of rice where uncertain demand makes this business to determine the stock for the following month. This research aims to implement the single moving average method for rice stock forecasting to support proper decision making. By using historical sales data from January 2024 to January 2025 to forecast the next 6 months. Forecasting results for the next 6 months, from February 2025 to July 2025.  With a forecasting value obtained of 223, MAD value of 23.32, MSE value of 1203.20 and MAPE value of 9.43.
PENERAPAN ALGORITMA NAVE BAYES DALAM PENENTUAN KELAYAKAN PENERIMA BANTUAN PROGRAM KELUARGA HARAPAN Rahmadani, Nurul; Risnawati, Risnawati; Sena, Maulana Dwi
JURNAL TEKNISI Vol 3, No 2 (2023): Agustus 2023
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/teknisi.v3i2.1391

Abstract

Abstract: The Family Hope Program (PKH) aims to improve living standards through education, health and social welfare services. However, the process of selecting beneficiaries is often considered not to be on target and a long process, so a decision-making system is needed in determining the eligibility of the right beneficiaries of the Family Hope Program. This study aims to determine the feasibility of beneficiaries of the Family Hope Program in Petatal Village, Batubara Regency using the Nave Bayes method. The amount of data used in this research is 100 training data and 20 testing data with 8 criteria. The application of the Nave Bayes method in this study obtained an accuracy rate of 100% and an error rate of 0% using Rapid Miner and the Confusion Matrix technique.Keywords: classification; family hope program; nave bayes, PKHAbstrak: Program Keluarga Harapan (PKH) bertujuan untuk meningkatkan taraf hidup melalui layanan pendidikan, kesehatan, dan kesejahteraan sosial. Akan tetapi, dalam proses pemilihan penerimanya seringkali dianggap tidak tepat sasaran dan proses yang lama, sehingga, diperlukan sistem pengambilan keputusan dalam menentukan kelayakan penerima bantuan Program Keluarga Harapan yang tepat. Penelitian ini bertujuan untuk menentukan kelayakan penerima bantuan Program Keluarga Harapan di Desa Petatal, Kabupaten Batubara dengan menggunakan metode Nave Bayes. Jumlah data yang digunakan dalam penelitian ini sebanyak 100 data training dan 20 data testing dengan 8 kriteria. Penerapan metode Nave Bayes dalam penelitian ini memperoleh tingkat akurasi sebesar 100% dan tingkat error 0% dengan menggunakan Rapid Miner dan teknik Confusion Matrix.Kata Kunci: klasifikasi; nave bayes; PKH; program keluarga harapan
Co-Authors . Zulfan Andri Agus, Raja Tama Andriyan, Diki Dalimunthe, Ruri Ashari Dhana, Muhammad Bayu Al Febrianti, Intan Hambali Hambali Herman Saputra Marhama, Siti Muhammad Ardiansyah Sembiring Nirda Julianda Putri Rahmadani, Putri Putry, Yollanda Rahmadani, Nurul Risnawati Risnawati Risnawati Risnawati Sitorus, Eliya Azizi Sulistiawan, Defry Nazhira Wulan Dari, Wulan Yusda, Riki Andri