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All Journal JOURNAL OF SCIENCE AND SOCIAL RESEARCH INTI Nusa Mandiri BALQIS: Journal of Business Innovation and Digital Marketing Open Access DRIVERset BALQIS: Journal of Business Innovation and Digital Marketing
Rahma Yanti
Universitas Putra Indonesia YPTK Padang
Computer Science & IT Economics, Econometrics & Finance Education Social Sciences

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Designing a Digital Marketing Strategy for MSMEs in Nagari Tambangan through Openchart Platform-Based E-commerce Rahma Yanti; Dinda Nesa Yolanda
BALQIS : Journal of Business Innovation and Digital Marketing Vol. 1 No. 1 (2025): June 2025
Publisher : Program Studi Bisnis Digital - Fakultas Ekonomi dan Bisnis Islam

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

Abstract

The aim of the article is to design a digital marketing strategy for Micro, Small and Medium Enterprises (MSMEs) through Openchart-based e-commerce to expand their market reach, up to the global level. However, in Nagari Tambangan, many MSMEs still adhere to traditional marketing strategies which are rarely used nowadays. As a result, the enormous potential of local superior products has not been utilized optimally, so that MSMEs are still relatively low in increasingly modern global market competition. Therefore, the aim of this research is to evaluate effective digital marketing through the use of platform-based e-commerce. The research and development (R&D) method used is the define, design, develop, describe (4D) development model. The study steps include: (1) defining the problems and needs of MSMEs related to digital marketing, (2) designing a digital marketing strategy that is integrated with e-commerce, (3) developing user-friendly and effective web-based promotional media, and (4) disseminating research findings on MSMEs in Nagari Tambangan. The results of the research conducted show that using OpenChart as an e-commerce platform really helps MSMEs in increasing product sales. Openchart's features include a display that is easy to use, according to needs, and the ability to sell products efficiently which makes a significant contribution to increasing the presence of products and sales of MSMEs. By using this platform, MSMEs can advertise their products digitally, attract many customers and maximize available resources. This research will provide practical assistance in improving the digital distribution of MSMEs in Nagari Tambanga. Additionally, this research can serve as a reference for developing digital marketing strategies such as content creation, social media utilization, and digital collaboration to enhance the success of MSME digital marketing strategies.
Designing a Digital Marketing Strategy for MSMEs in Nagari Tambangan through Openchart Platform-Based E-commerce Rahma Yanti; Dinda Nesa Yolanda
BALQIS : Journal of Business Innovation and Digital Marketing Vol. 1 No. 1 (2025): June 2025
Publisher : Program Studi Bisnis Digital - Fakultas Ekonomi dan Bisnis Islam

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

Abstract

The aim of the article is to design a digital marketing strategy for Micro, Small and Medium Enterprises (MSMEs) through Openchart-based e-commerce to expand their market reach, up to the global level. However, in Nagari Tambangan, many MSMEs still adhere to traditional marketing strategies which are rarely used nowadays. As a result, the enormous potential of local superior products has not been utilized optimally, so that MSMEs are still relatively low in increasingly modern global market competition. Therefore, the aim of this research is to evaluate effective digital marketing through the use of platform-based e-commerce. The research and development (R&D) method used is the define, design, develop, describe (4D) development model. The study steps include: (1) defining the problems and needs of MSMEs related to digital marketing, (2) designing a digital marketing strategy that is integrated with e-commerce, (3) developing user-friendly and effective web-based promotional media, and (4) disseminating research findings on MSMEs in Nagari Tambangan. The results of the research conducted show that using OpenChart as an e-commerce platform really helps MSMEs in increasing product sales. Openchart's features include a display that is easy to use, according to needs, and the ability to sell products efficiently which makes a significant contribution to increasing the presence of products and sales of MSMEs. By using this platform, MSMEs can advertise their products digitally, attract many customers and maximize available resources. This research will provide practical assistance in improving the digital distribution of MSMEs in Nagari Tambanga. Additionally, this research can serve as a reference for developing digital marketing strategies such as content creation, social media utilization, and digital collaboration to enhance the success of MSME digital marketing strategies.
Designing a Digital Marketing Strategy for MSMEs in Nagari Tambangan through Openchart Platform-Based E-commerce Rahma Yanti; Dinda Nesa Yolanda
BALQIS : Journal of Business Innovation and Digital Marketing Vol. 1 No. 1 (2025): June 2025
Publisher : Program Studi Bisnis Digital - Fakultas Ekonomi dan Bisnis Islam

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

Abstract

The aim of the article is to design a digital marketing strategy for Micro, Small and Medium Enterprises (MSMEs) through Openchart-based e-commerce to expand their market reach, up to the global level. However, in Nagari Tambangan, many MSMEs still adhere to traditional marketing strategies which are rarely used nowadays. As a result, the enormous potential of local superior products has not been utilized optimally, so that MSMEs are still relatively low in increasingly modern global market competition. Therefore, the aim of this research is to evaluate effective digital marketing through the use of platform-based e-commerce. The research and development (R&D) method used is the define, design, develop, describe (4D) development model. The study steps include: (1) defining the problems and needs of MSMEs related to digital marketing, (2) designing a digital marketing strategy that is integrated with e-commerce, (3) developing user-friendly and effective web-based promotional media, and (4) disseminating research findings on MSMEs in Nagari Tambangan. The results of the research conducted show that using OpenChart as an e-commerce platform really helps MSMEs in increasing product sales. Openchart's features include a display that is easy to use, according to needs, and the ability to sell products efficiently which makes a significant contribution to increasing the presence of products and sales of MSMEs. By using this platform, MSMEs can advertise their products digitally, attract many customers and maximize available resources. This research will provide practical assistance in improving the digital distribution of MSMEs in Nagari Tambanga. Additionally, this research can serve as a reference for developing digital marketing strategies such as content creation, social media utilization, and digital collaboration to enhance the success of MSME digital marketing strategies.
IDENTIFIKASI TINGKAT KEMATANGAN BUAH MANGGA MENGGUNAKAN METODE K-MEANS CLUESTERING DAN MEDIAN FILTER Rahma Yanti; Nabilla Yasmin; Kharisma Utama Putra; Hendri Irawan; Rini Sovia
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 2 (2025): May 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i2.2893

Abstract

Abstract: This study aims to develop an automatic system for identifying the ripeness level of mangoes using the K-Means Clustering and Median Filter methods. The background of this research is based on the agricultural industry's need for an objective ripeness assessment, as manual methods are often subjective and inefficient. The K-Means Clustering method is used to categorize mango ripeness based on skin color characteristics, while the Median Filter is applied to enhance image quality by reducing noise before clustering. This study utilizes a dataset of 120 mango images, consisting of 47 images for training and 73 images for testing. The results indicate that the combination of these two methods achieves a classification accuracy of 98%. These findings contribute to the development of digital image processing technology for applications in the agricultural and food industries. Keyword: Ripeness identification, K-Means Clustering, Median Filter, Image Processing, Mango. Abstrak: Penelitian ini bertujuan untuk mengembangkan sistem identifikasi tingkat kematangan buah mangga secara otomatis menggunakan metode K-Means Clustering dan Median Filter. Latar belakang penelitian ini didasarkan pada kebutuhan industri pertanian dalam menentukan tingkat kematangan mangga secara objektif, mengingat metode manual sering kali subjektif dan kurang efisien. Metode K-Means Clustering digunakan untuk mengelompokkan tingkat kematangan mangga berdasarkan karakteristik warna kulit, sedangkan Median Filter diterapkan untuk meningkatkan kualitas citra dengan mengurangi noise sebelum dilakukan proses klasterisasi. Penelitian ini menggunakan dataset sebanyak 120 citra mangga, yang terdiri dari 47 citra untuk pelatihan dan 73 citra untuk pengujian. Hasil penelitian menunjukkan bahwa kombinasi kedua metode ini mampu mengklasifikasikan tingkat kematangan mangga dengan akurasi sebesar 98%. Temuan ini memberikan kontribusi dalam pengembangan teknologi pemrosesan citra digital untuk aplikasi dalam industri pertanian dan pangan. Kata kunci: Identifikasi kematangan, K-Means Clustering, Median Filter, Pengolahan Citra, Mangga.
OPTIMASI HYBRID INTELLIGENT SYSTEM UNTUK IDENTIFIKASI BUAH: STUDI KASUS PISANG DAN APEL Rahma Yanti; Agung Ramadhanu
INTI Nusa Mandiri Vol. 19 No. 2 (2025): INTI Periode Februari 2025
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v19i2.6382

Abstract

Image processing-based fruit classification is one of the rapidly developing technology applications in the field of digital agriculture. This study aims to develop a fruit identification system, especially yellow bananas, green bananas, and apples, by utilizing the K-Nearest Neighbors (KNN) and Principal Component Analysis (PCA) methods. The background of this study is the need for an accurate automatic system to distinguish fruit types based on visual characteristics, such as color, texture, and shape, to support the distribution and management of agricultural products. The method used in this study involves four main stages: image loading, segmentation, feature extraction, and classification. PCA is used to reduce data dimensions by maintaining relevant main features, while KNN functions for classification based on the closest distance between test data and training data. The dataset used consists of 130 images, with 120 images as training data and 10 images as test data. The results of the study show that the developed system is able to classify all test data with 90% accuracy. This success proves that the combination of PCA and KNN methods is effective in identifying fruit types based on extracted visual characteristics. This system is expected to be the basis for further development in the field of automatic fruit classification.
Co-Authors Agung Ramadhanu Dinda Nesa Yolanda Hendri Irawan Kharisma Utama Putra Nabilla Yasmin Sovia, Rini