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All Journal Jurnal Ekonomika Dan Bisnis Jurnal Algoritma Nuansa Informatika
Pratiwi, Radila
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Computer Science & IT Economics, Econometrics & Finance

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Menentukan Tingkat Risiko Penjualan Cake Di Stiinacake Dengan Menggunakan Metode AHP-MAUT MUHAZIR, AHMAD; siregar, Yustria Handika; Irawati, Novica; Utami, Lola Citra; Pratiwi, Radila
NUANSA INFORMATIKA Vol. 17 No. 2 (2023): Volume 17 No 2 Tahun 2023
Publisher : FKOM UNIKU

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

Abstract

Menentukan tingkat risiko pada penjualan cake adalah hal yang sangat penting bagi seorang pengusaha. Tujuannya agar lebih memudahkan seorang pengusaha dalam penjualan nya, supaya cake yang di hasilkan menjadi cake yang berkualitas dan banyak di minati oleh pembeli. Toko Stiinacake sendiri sulit dalam menentukan tingkat risiko yang di hadapi pada belakangan ini, sehingga di butuhkan nya sistem pendukung keputusan dalam menentukan tingkat risiko pada penjualan cake di toko tersebut. Tujuan penelitian ini di lakukan untuk mengetahui tingkat risiko yang terjadi dalam penjualan cake di Stiinacake. Metode penelitian yang digunakan adalah Metode AHP dan MAUT dengan 25 Alternatif dan 5 Kriteria penilaian yang diperoleh dari hasil beberapa tahapan yaitu mulai dari tahap wawancara, proses pengumpulan data, proses perhitungan serta menentukan perangkingan untuk tingkat risiko penjualan cake. Sistem pendukung keputusan yang dihasilkan dalam penelitian ini yaitu dapat menampilkan perangkingan untuk cake yang tingkat risikonya paling tinggi, dapat mengatasi risiko yang terjadi untuk setiap masalah kriteria, kemudian dapat menjadi acuan dalam mengambil keputusan terbaik bagi penjualan di Stiinacake
Studi Literatur Peran Bank Indonesia Terhadap Stabilitas Keuangan Pratiwi, Radila; Daulay, Wan Akbar Arramadhan; Chairina, Chairina
Jurnal Ekonomika Dan Bisnis (JEBS) Vol. 2 No. 3 (2022): Jurnal Ekonomika dan Bisnis (JEBS)
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jebs.v2i3.261

Abstract

Bank Indonesia's primary responsibility in monetary, banking and payment systems is to ensure monetary and financial system stability. Without financial system stability, Bank Indonesia's success in maintaining monetary stability will not be significant. support long-term economic growth. The forces associated with money and monetary soundness resemble different sides of a coin that cannot be separated. Financial stability is the foundation upon which the efficacy of monetary policy is built, and the converse is that monetary policy has a significant impact on financial stability. Because the financial system is one of the monetary policy transmission channels, monetary policy transmission cannot function normally if financial system instability occurs. Conversely, financial system stability will be fundamentally affected by monetary instability due to ineffective financial system operations. Therefore, maintaining financial system stability remains the duty and responsibility of Bank Indonesia.
Prediksi Kebutuhan Peralatan Gudang Menggunakan Triple Exponential Smoothing dalam Sistem Inventaris Berbasis Android Pratiwi, Radila; Triase
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.3043

Abstract

Spare parts inventory management at PT Wilco Tera Citra is still hampered by manual recording and fluctuations in demand. This study aims to develop an Android-based spare parts demand forecasting system using the Triple Exponential Smoothing (TES) method to support more measurable procurement decisions. The data consists of historical demand for 15 items over 12 months (2024). TES was applied to analyze the level, trend, and seasonal components, as well as to evaluate the sensitivity of the parameters a = 0.2, B = 0.2, y = 0.2. The results show low MAPE for Cylinder Liners (3.74%) and Fuel Injectors (4.60%), and moderate MAPE for Turbochargers (13.21%), with respective demand patterns: stable, seasonal, and declining trend. This study emphasizes methodological contributions through inter-item performance evaluation, TES integration into mobile inventory systems, and prediction support in procurement decision-making. Limitations include a relatively short 12-month dataset and an application that is not yet integrated with real-time stock data.
Co-Authors Chairina Chairina, Chairina Daulay, Wan Akbar Arramadhan Irawati, Novica Muhazir, Ahmad Triase Utami, Lola Citra Yustria Handika Siregar