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All Journal JURNAL LENTERA BISNIS IJASDS: Indonesian Journal of Applied Statistics and Data Science
Rahmah, Putri Aulia
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Economics, Econometrics & Finance Environmental Science Mathematics Public Health Social Sciences

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Peramalan Nilai Tukar Petani Kalimantan Timur Menggunakan Metode Neural Network Rahmah, Putri Aulia; Hayati, Memi Nor; Cahyaningsih, Ariyanti
Indonesian Journal of Applied Statistics and Data Science Vol. 2 No. 1 (2025): Mei
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ijasds.v2i1.5855

Abstract

The farmer exchange rate (NTP) is a significant indicator for measuring the purchasing power of Indonesian farmers, who are the main actors in the agricultural sector. This is because the agricultural sector is one of the main sectors in Indonesia, one of which is in East Kalimantan Province. This study aims to predict and forecast the NTP of East Kalimantan Province using the Neural Network (NN) method with the backpropagation algorithm. The data used is the NTP data of East Kalimantan Province for the period January 2020 to September 2024 obtained from the BPS of East Kalimantan Province. This study tested 5 NN architecture models with different numbers of layers in the hidden layer, namely 1, 2, 3, 4, and 5 layers in the hidden layer. The study was conducted using 1 input variable, a learning rate of 0.01, a maximum of 10,000 iterations, and a threshold of 0.5. Based on the training process that has been carried out, it was concluded that the best NN architecture that can be used to forecast the NTP of East Kalimantan Province is NN with 5 layers in the hidden layer with a MAPE of 2.087%.
ANALISIS PENERAPAN STRATEGI SOCIAL MEDIA MARKETING (SMM) PADA UMKM MIE AYAM & BAKSO MAS DEN TANGERANG SELATAN Aisyiyah, Aldinenur; Aprilia, Finki; Amalia, Della; Rahmah, Putri Aulia; Karomah, Nurul Giswi
JURNAL LENTERA BISNIS Vol. 15 No. 2 (2026): JURNAL LENTERA BISNIS, Mei 2026
Publisher : POLITEKNIK LP3I JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34127/jrlab.v15i2.2215

Abstract

This study aims to analyze the implementation of Social Media Marketing (SMM) strategies in the micro, small, and medium enterprise (MSME) Mie Ayam & Bakso Mas Den in South Tangerang. Social Media Marketing has become one of the important strategies for MSMEs to increase visibility, interaction with customers, and product sales in the digital era. This research uses a qualitative descriptive method with a case study approach, where data were obtained through interviews and observations with the MSME owner, observation of social media activities, and documentation of promotional content. The analysis was conducted to evaluate the SMM strategy activities implemented, including types of content, posting frequency, interaction with consumers, and its impact on sales. Based on the SWOT analysis, the results show that Mie Ayam & Bakso Mas Den has actively utilized social media platforms such as Instagram and TikTok, with engaging content strategies and responsive promotions, which have had a positive impact on increasing the number of customers and sales. However, there are opportunities for further development, such as optimizing the use of influencers on social media. This study is expected to provide practical contributions for other MSMEs in implementing Social Media Marketing strategies effectively.
Co-Authors Aisyiyah, Aldinenur Amalia, Della Aprilia, Finki Cahyaningsih, Ariyanti Karomah, Nurul Giswi Memi Nor Hayati