Prediksi Tingkat Kriminalitas Menggunakan Metode Single Moving Average

Authors

  • Mustopa Husein Lubis Independent Researcher
  • S Sumijan Universitas Putra Indonesia YPTK Padang

DOI:

https://doi.org/10.37034/jsisfotek.v3i4.63

Keywords:

Forecasting, Prediction, Crime, Single Moving Average, Law

Abstract

Crime is all kinds of actions and actions that are economically and psychologically harmful that violate the laws in force in the State of Indonesia as well as social and religious norms. Ordinary criminal acts affect the security of the community and threaten their inner and outer peace. The research location is the Asahan Police which is an agency that can provide security and protection for the community, especially those in Asahan Regency. The problem that occurs in this location is that there is no prediction system in Asahan Regency, due to the lack of knowledge factor in processing crime rate data. So it is difficult to know how much the increase or decrease in criminal cases carried out at the Asahan Police. The data used are cases of murder, sexual harassment, assault, violent theft, weight theft, motorcycle theft, fraud and counterfeiting money for the last 5 years from 2016 to 2020. This study aims to predict the crime rate in Asahan Regency in order to anticipating the upcoming spike in crime. The system that will be made uses forecasting or forecasting. With the Single Moving Average forecasting method. The Single Moving Average method is a forecast for the time in the future. The results of the calculation of predictions for criminal cases in 2021 obtained 3 cases of murder, 2 cases of sexual harassment in 2021, 252 cases of maltreatment in 2021, 27 cases of violent theft in 2021, 348 thefts with a weight in 2021. cases, motorcycle theft in 2021, totaling 90 cases, fraud in 2021, amounting to 85 cases, and counterfeiting money in 2021, totaling 1 case. This result has an accuracy rate of 99% from the reality of the crime that occurred, so this study is very appropriate to be used to predict the crime rate.

References

Suriani, L. (2020). Pengelompokan Data Kriminal Pada Poldasu Menentukan Pola Daerah Rawan Tindak Kriminal Menggunakan Data Mining Algoritma K-Means Clustering. Jurnal Sistem Komputer Dan Informatika (JSON), 1(2), 151. https://doi.org/10.30865/json.v1i2.1955

Prapcoyo, H. (2018). Peramalan Jumlah Mahasiswa Menggunakan Moving Average. Telematika, 15(1), 67. https://doi.org/10.31315/telematika.v15i1.3069

Dewi, S. N., Cholissodin, I., & Santoso, E. (2018). Prediksi Jumlah Kriminalitas Menggunakan Metode Extreme Learning Machine ( Studi Kasus Di Kabupaten Probolinggo ). Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya, 2(11), 4687–4693. https://dx.doi.org/10.12928/jstie.v5i1.10821

Hudaningsih, N., Firda Utami, S., & Abdul Jabbar, W. A. (2020). Perbandingan Peramalan Penjualan Produk Aknil Pt.Sunthi Sepurimengguanakan Metode Single Moving Average Dan Single Exponential Smooting. Jurnal Informatika, Teknologi Dan Sains, 2(1), 15–22. https://doi.org/10.51401/jinteks.v2i1.554

Sumari, A. D. W., Pratama, R. Y. A., & Triswidrananta, O. D. (2021). Sistem Prediksi Tingkat Kriminalitas Menggunakan Metode Triple Exponential Smoothing: Studi Kasus Pada Polres Kabupaten Probolinggo. Jurnal Teknik Informatika, 13(2), 171–178. https://doi.org/10.15408/jti.v13i2.18128

Susilawati, D., Setiawan, N., Yulianti, I., & Prayudi, D. (2018). Penerapan Metode Single Moving Average untuk Prediksi Penjualan Pada Aby Manyu Cell. Swabumi, 6(1), 78–84. https://doi.org/10.31294/swabumi.v6i1.3319

Card, F. I., Pertiwi, N. A., Puspasari, R., Sistem, J., Universitas, I., Utama, P., Jurusan, D., Informasi, S., Potensi, U., Utama, U. P., & Average, S. M. (2015). Peramalan Penjualan Kartu Dan Voucher Internet Menggunakan Metode Single Moving Average ( Studi Kasus : Toko Karya Pulsa ). 111–121. https://dx.doi.org/10.30872/jurti.v2i1.1410

Putri, A. N., & Wardhani, A. K. (2020). Penerapan Metode Single Moving Average Untuk Peramalan Harga Cabai Rawit Hijau. Indonesian Journal of Technology, Informatics and Science (IJTIS), 2(1), 37–40. https://doi.org/10.24176/ijtis.v2i1.5653

Aprilianti, N., Setiawan, I., & Yusuf, M. N. (2020). Peramalan Permintaan Produk Sale Pisang Pada Industri “Sahabat” Di Dusun Cijoho Desa Margajaya Kecamatan Sukadana Kabupaten Ciamis. Jurnal Ilmiah Mahasiswa Agroinfo Galuh, 7(3), 634. https://doi.org/10.25157/jimag.v7i3.3978

Apriliani, A., Zainuddin, H., Hasanuddin, Z. B., Pembangunan, U., Veteran, N., Timur, J., Makassar, U. H., & Korespondensi, P. (2020). Peramalan Tren Penjualan Menu Restoran Menggunakan Sales Trend Forecast of a Restaurant Menus Using Single Moving. 7(6), 1161–1168. https://doi.org/10.25126/jtiik.202072732

Anggraeni, D. T. (2019). Forecasting Harga Saham Menggunakan Metode Simple Moving Average Dan Web Scrapping. Jurnal Ilmiah Matrik, 21(3), 234–241. https://doi.org/10.33557/jurnalmatrik.v21i3.726

Jaya, J. D. (2019). Peramalan Jumlah Populasi Sapi Potong di Kalimantan Selatan Menggunakan Metode Moving Average, Exponential Smoothing dan Trend Analysis. Jurnal Teknologi Agro-Industri, 6(1), 41. https://doi.org/10.34128/jtai.v6i1.88

Landia, B. (2020). Peramalan Jumlah Mahasiswa Baru Dengan Exponential Smoothing dan Moving Average. Jurnal Ilmiah Intech : Information Technology Journal of UMUS, 2(01). https://doi.org/10.46772/intech.v2i01.188

Sumari, A. D. W., Putra, D. R. H., Musthofa, M. B., & Mari, N. (2021). Pandemic dynamics prediction in Java using the Moving Average method and the Knowledge Growing System (KGS). Jurnal Teknologi Dan Sistem Komputer, 9(1), 31–40. https://doi.org/10.14710/jtsiskom.2020.13779

Ipnuwati, S. (2021). Perancangan Sistem Peramalan Jumlah Produksi Keripik Menggunakan Metode Moving Average. 2(1), 1–13.

Marlina, N. E., Oktafianto, K., & Yuliastuti, R. (2021). Perbandingan Metode Trend Moment Dan Single Moving Average Untuk Meramalkan Jumlah Penduduk Kabupaten Tuban. 02(01), 18–22.

Putrasyah, A., & Sukemi. (2019). Perhitungan Peramalan Harga Emas Menggunakan Metode Single Exponential Smoothing Dan Single Moving Average. 5(1), 978–979.

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Published

2021-09-03

How to Cite

Lubis, M. H. ., & Sumijan, S. (2021). Prediksi Tingkat Kriminalitas Menggunakan Metode Single Moving Average. Jurnal Sistim Informasi Dan Teknologi, 3(4), 183–188. https://doi.org/10.37034/jsisfotek.v3i4.63

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