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All Journal JURNAL DERIVAT: JURNAL MATEMATIKA DAN PENDIDIKAN MATEMATIKA Prosiding Seminar Nasional Teknologi Informasi dan Bisnis
Muhammad Rais Ramadhani
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Physics

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Sistem Pendukung Keputusan Pemilihan Kost Di Sekitar Fakultas Ilmu Komputer Universitas Duta Bangsa Surakarta Menggunakan Metode Simple Additive Weighting(SAW) Muhammad Rais Ramadhani; Cikal Fauziah Fatin Sawitri; Arimby Kusmaya Putri; Dwi Hartanti
Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Prosiding Seminar Nasional Teknologi Informasi dan Bisnis (SENATIB) 2022
Publisher : Fakultas Ilmu Komputer Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (321.352 KB)

Abstract

Pemilihan tempat tinggal di daerah baru di pengaruhioleh beberapa factor, diantaranya Biaya, jarak, kemanan,fasilitas, dan lingkungan. Jurnal ini menunjukan kriteria yangdigunakan dalam pemilihan kost di daerah Universitas DutaBangsa Surakarta. Kriteria tersebut dianalisis menggunakanmetode Simple Additive Weighting (SAW). Hasil analisis yangdidapat berupa kriteria lokasi untuk menentukan tempat kost yangpaling sesuai. Keberadaan kost di sekitar tempat fasilitas publicsangat di harapkan bagi pendatang di suatu daerah baru. Denganadanya jurnal ini dapat membantu para mahasiswa yang hendakmanecari dan memilih kost yang sesuai dengan keinginanmereka, persiapan suatu system yang dapat membantu dalampenentuan rumah sementara diperlukan oleh penyewa dalammencari yang sesuai dengan mereka. Melalui sebuah SPK(SistemPendukung Keputusan) pemilihan tempat kost diharapkan dapatmembantu menyelesaikan masalah alternative tempat tinggalsementara. Oleh sebab itu mahasiswa akan mendapatkan daftarrekomendasi tempat kost yang direkomendasikan berdasarkankriteria masukannya.
Pengembangan Model Prediksi Penjualan Ice Cream UMKM Jogja Menggunakan Metode Autoregressive Muhammad Rais Ramadhani; Nurmalitasari; Nurchim
Jurnal Derivat: Jurnal Matematika dan Pendidikan Matematika Vol. 11 No. 2 (2024): Jurnal Derivat (Agustus 2024)
Publisher : Pendidikan Matematika Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jderivat.v10i2.6289

Abstract

There are Micro Small Medium Enterprises (MSMEs) Jogja is included in the new category because of its launch in early 2023, but it already has a total turnover of hundreds of millions. This MSME focuses on enlisted Ice Cream sales with dozens of Ice Cream menu variants. The unstable level of sales originating from trends or seasons becomes a separate enemy for business actors. This study aims to carry out the permanent sales of MSME Jogja using the autoregressive method. The steps taken are (1) data collection, (2) Calculation of ACF and PACF, (3) data processing, and (4) calculation of error values. The data used in the current study is the 8 -8-month sales transaction data. The results showed that the autoregressive method can predict the sale of MSME Jogja with a low error value of MAE = 0.18 and RMSE = 0.14. With this, Ice Cream sales predictions using the Autoregressive Method can be accepted, which results in sales predictions in the following month, May 2024, as many as 1,118 products were sold. Suggestions for further researchers to research each existing menu variant. Keywords: Prediction, Sales, Ice Cream, Autoregressive
Pengembangan Model Prediksi Penjualan Ice Cream UMKM Jogja Menggunakan Metode Autoregressive Muhammad Rais Ramadhani; Nurmalitasari; Nurchim
Jurnal Derivat: Jurnal Matematika dan Pendidikan Matematika Vol. 11 No. 2 (2024): Jurnal Derivat (Agustus 2024)
Publisher : Pendidikan Matematika Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jderivat.v10i2.6289

Abstract

There are Micro Small Medium Enterprises (MSMEs) Jogja is included in the new category because of its launch in early 2023, but it already has a total turnover of hundreds of millions. This MSME focuses on enlisted Ice Cream sales with dozens of Ice Cream menu variants. The unstable level of sales originating from trends or seasons becomes a separate enemy for business actors. This study aims to carry out the permanent sales of MSME Jogja using the autoregressive method. The steps taken are (1) data collection, (2) Calculation of ACF and PACF, (3) data processing, and (4) calculation of error values. The data used in the current study is the 8 -8-month sales transaction data. The results showed that the autoregressive method can predict the sale of MSME Jogja with a low error value of MAE = 0.18 and RMSE = 0.14. With this, Ice Cream sales predictions using the Autoregressive Method can be accepted, which results in sales predictions in the following month, May 2024, as many as 1,118 products were sold. Suggestions for further researchers to research each existing menu variant. Keywords: Prediction, Sales, Ice Cream, Autoregressive
Co-Authors Arimby Kusmaya Putri Cikal Fauziah Fatin Sawitri Dwi Hartanti Nurchim Nurchim Nurmalitasari