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KEUNGGULAN DAN STRATEGI MODEL BISNIS MIXUE Aprilia, Riska; Ramadhani, Aulya Marshanda; Labibah, Bintu; Prawira, Ida Farida Adi
Oikos Nomos Vol 16, No 2 (2023): Desember 2023
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37479/jkeb.v16i2.22525

Abstract

Artikel ini mengulas keunggulan model bisnis waralaba dan sistem manajemen rantai pasokan yang diterapkan Mixue dalam ekspansi bisnisnya di Indonesia. Dengan melakukan tinjauan literatur, kami menganalisis faktor-faktor yang membuat Mixue berhasil menarik franchisor dan membuka beberapa cabang dalam waktu singkat. Mixue, brand kuliner khusus hidangan manis, sukses menarik minat pengusaha lokal untuk ikut serta dalam model bisnis waralaba mereka. Keunggulan model bisnis waralaba Mixue melibatkan dukungan kuat dari perusahaan, termasuk pelatihan, bahan baku berkualitas, dan pedoman operasional yang komprehensif. Hal ini menciptakan peluang bisnis yang menarik bagi franchisor, dengan tingkat keberhasilan yang tinggi. Selain itu, Mixue menerapkan sistem manajemen rantai pasokan yang efisien untuk memastikan kelancaran pasokan bahan baku ke seluruh outletnya. Hal ini memungkinkan Mixue menjaga konsistensi rasa dan kualitas produk di seluruh jaringan mereka. Artikel ini juga membahas manfaat yang diperoleh pemilik waralaba dengan model bisnis Mixue, termasuk dukungan operasional berkelanjutan dan akses ke merek yang sudah terbukti. Kesimpulannya, Mixue berhasil menciptakan ekosistem bisnis yang menguntungkan baik bagi induk perusahaan maupun franchisor, sehingga menjadikannya salah satu pemain utama industri kuliner di Indonesia.
Kombinasi Inisialisasi Hyperparameter dan Algoritma Adam untuk Optimasi Model Gated Recurrent Unit dalam Meramalkan Harga Penutupan Saham Pasca Isu Boikot Labibah, Bintu; Guntara, Rangga Gelar; Maesaroh, Syti Sarah
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.6202

Abstract

This research aims to enhance the accuracy of daily closing price forecasting for PT Unilever Indonesia Tbk shares by optimizing a Gated Recurrent Unit (GRU) model, a deep learning architecture. The study focuses on the impact of boycott issues on company performance and explores the effectiveness of hyperparameter tuning and the Adam optimization algorithm. Utilizing a five-year historical dataset, time series analysis was employed. The results demonstrate that the GRU model with a configuration of 50 epochs, batch size 8, hidden state 64, and default Adam parameters achieved the lowest Mean Absolute Percentage Error (MAPE) of 1.59% and Root Mean Squared Error (RMSE) of 71.51 among the 81 configurations tested. While higher Adam parameter settings also yielded satisfactory results, this specific configuration exhibited superior performance. The findings highlight the sensitivity of model accuracy to sharp price fluctuations, suggesting that shorter forecast horizons may be more appropriate. This research contributes significantly to the advancement of accurate and reliable stock price forecasting models.
Analisis Liabilitas dan Ekuitas terhadap Laba pada Perusahaan Sektor Barang Konsumen Primer yang Terdaftar di Bursa Efek Indonesia Aprilia, Riska; Ramadhani, Aulya Marshanda; Labibah, Bintu; Nurahma, Salsa; Maesaroh, Syti Sarah
Jurnal Riset AKuntansi dan Bisnis Vol 24, No 1 (2024): MARET
Publisher : Jurnal Riset Akuntansi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/14818

Abstract

Primary consumer goods sector companies play an important role in the economy because they mainly fulfill basic human needs to improve the quality of life. This research is motivated by the decline in profits in several companies in the sector in recent years which has become a concern for researchers. Data analysis uses multiple regression analysis through a quantitative descriptive approach. The company sample consists of primary consumer sector companies listed on the IDX in 2020-2022. The observed variables include total liabilities, equity, and profits of related companies. Hypothesis testing is carried out to determine the effect of the independent variable on the dependent variable. The results show that liabilities and equity simultaneously have a significant positive effect on company profits. However, partially, one of the research variables, namely equity, does not meet the significance requirements so that it can be interpreted that there is no influence between equity on profit growth. This indicates that between liabilities and equity that have a significant influence on profit growth are liabilities. Therefore, it is necessary to add other factors to get a higher coefficient of determination.