Abstract:This study aims to analyze the influence of Halal Awareness and Product Knowledge on Purchase Intention and its impact on Brand Loyalty of halal cosmetic products. This research employs a quantitative approach using the…
accidental sampling method, where respondents consist of consumers who have purchased and used halal cosmetic products. A total of 100 respondents participated in this study. Data were collected through online questionnaires and analyzed using the Partial Least Squares (PLS) method with SmartPLS 3 software. The results indicate that Halal Awareness and Product Knowledge have a positive and significant effect on Purchase Intention. Furthermore, Purchase Intention has a positive and significant effect on Brand Loyalty. Halal Awareness and Product Knowledge also have a positive and significant direct effect on Brand Loyalty. In addition, the indirect effect analysis reveals that Purchase Intention significantly mediates the influence of Halal Awareness and Product Knowledge on Brand Loyalty. These findings highlight the crucial mediating role of Purchase Intention in linking halal awareness and product knowledge with halal cosmetic brand loyalty. Therefore, halal cosmetic manufacturers are encouraged to continuously strengthen the communication of halal values and product education to build strong purchase intention and drive sustainable brand loyalty.
Abstract:The aim of this research is to determine the influence of product quality and price perception on purchasing decisions for Pixy cometics products at Watson, East Jakarta. The analysis method in this research uses primary…
data. The test stages carried out were validity tests, reliability tests, classical assumption tests (normality test, multicollinearity test, heteroscedasticity test), multiple linear regression analysis tests, T test, F test, and coefficient of determination test (R2). The data used in this research used a questionnaire questionnaire via Google Form and consisted of 100 respondents. The sampling method in this research is non-probability sampling with a purposive sampling technique. The testing tool used in this research is IBM SPSS 26 software. The results of this research show that simultaneously the product quality variable and the price perception variable have a significant influence on purchasing decisions for Pixy cosmetic products at Watson, East Jakarta. Partially, the product quality variable has a positive and significant effect on purchasing decisions, and the price perception variable has a positive and significant effect on purchasing decisions for consumers of Pixy cosmetic products at Watson, East Jakarta.
Abstract:This study examines the influence of social media marketing and brand image on purchase intention, with consumer boycott participation incorporated as a moderating variable, using Rosé All Day Cosmetics as the empirical…
context. Grounded in the Stimulus–Organism–Response (S-O-R) framework, a quantitative approach was employed by collecting survey data from 385 consumers in Jabodetabek and Bandung City areas, which were analyzed using PLS-SEM. The results reveal that both social media marketing and brand image have positive and significant effects on purchase intention. However, boycott participation does not moderate the relationship between social media marketing and purchase intention, while it exerts a significant negative moderating effect on the relationship between brand image and purchase intention. These findings suggest that although digital marketing and brand image remain key drivers of consumer purchase intention, moral and social considerations reflected in boycott participation can weaken the effectiveness of brand image in influencing consumer decisions. This study contributes to the literature by highlighting the contextual role of consumer boycotting in shaping marketing effectiveness within the digital beauty industry in emerging markets.
Abstract:This study aims to analyze the income of offline store traders in the Gorontalo City Central Market after the emergence of Online Shop. The main problem raised is to examine the impact of the rise of online shops on the…
financial condition of traditional traders. This study uses a qualitative method with a descriptive approach to explore the experiences and deep perceptions of the affected traders. The research informants consisted of 5 shop owners (textiles, shoes, and cosmetics) in the Gorontalo City Central Market who have been running their businesses for many years. The results of the study consistently show that the presence of online shops has had a very significant negative impact on the financial condition of offline store traders in the Gorontalo City Central Market.Before the rise of online shops (around 2018 and below), offline store sales conditions were very good and stable, with an average daily turnover ranging from IDR 1,000,000 to IDR 2,000,000, even reaching up to IDR 5,000,000 during the high season. After the emergence of online shops (around 2018-2020), merchants' income experienced a sharp decline.
Abstract:The growth of the cosmetics industry in Indonesia is influenced by the increasing demand for beauty products. One of the contributing factors to this trend is a common issue faced by women, especially Gen Z, which is dull…
l skin. One of the most purchased beauty products by Gen Z is facial serum. The aim of this research is to examine the influence of Negative EWOM (Electronic Word of Mouth) and variety seeking on brand switching behavior, with customer engagement as an intervening variable for Scarlett facial serum among Gen Z consumers. This study employs a quantitative approach with descriptive and causal research methods. Data collection is done through a questionnaire survey with 300 respondents who use Scarlett facial serum in Indonesia. The data analysis technique used is Structural Equation Modeling (SEM) using SmartPLS for research data analysis. The research findings indicate that Negative EWOM have a positive influence on brand switching behavior, Negative EWOM have a negative influence on customer engagement, variety seeking have a negative influence on customer engagement, variety seeking have a positive influence on brand switching behavior, customer engagement have a negative influence on brand switching behavior, Variety seeking on brand switching behavior through customer engagement as an intervening variable have a positive influence, Negative E-WOM on brand switching behavior through customer engagement as an intervening variable also have a positive influence.This research has implications for companies, including the need for companies to enhance product quality and their brand image in response to Negative E-WOM. Companies should also continue to innovate by improving product quality and uniqueness. Additionally, understanding customer preferences and market trends is crucial for competing in a market with many similar products. Maintaining customer interactions can also keep the company top of mind among customers, preventing them from switching to other brands. These actions are necessary to retain customers and prevent brand switching. Referring to several previous studies, research on negative word of mouth, brand switching behavior, variety seeking, and customer engagement has never been conducted simultaneously with the same variables and object.
Abstract:This study aims to analyze the vocabulary used in online shop activities on Instagram social media and examine its contribution to Indonesian language learning. Through a qualitative-descriptive approach, data is collected…
lected from uploads and product descriptions on several popular online shop accounts . The results of the analysis show that the vocabulary used reflects a mixture of non-standard Indonesian, foreign absorption (especially English), abbreviations, and popular terms (slang) that are developing in online communities. The collection of data is sourced from 5 (five) Online Shops, namely @omorfoo_shop, @bunoshopp28, @sental.kaos, @akavi.id, and @citracosmetic_id. The contribution to Indonesian learning lies in the potential use of authentic context from social media as teaching materials, especially in learning language diversity, vocabulary development, and language attitudes.
Abstract: Abstract: RSMSTORE.ID shop is a business that is engaged in selling beauty products (cosmetics) which is located on Jl. SM Raja Kisaran, West Kisaran District, Asahan Regency, North Sumatra. Currently, the RSMSTORE.ID…
D Store only uses Facebook and other social media to promote the products it sells. The number of goods sold and the number of customers at the RSMSTORE.ID Store from January to November 2021, where there is a decrease in the number of goods sold in the last month. Of course this has an impact on the profits obtained by the store. Aware of the fact that customer satisfaction is important in a business, it is necessary to have a system that can help stores increase sales. The tight business competition in the current digital era makes RSMSTORE.ID Stores have to carry out marketing strategies to manage their customers, increase new customers and retain old customers. In line with the current development of technology and social media, various efforts have been made to increase sales. One way that a store can do to be able to compete in the world of business sales is to implement a system or method, namely CRM (Customer Relationship Management).
Keywords: CRM; beauty products (Cosmetics); PHP and MySQL
Abstrak:Toko RSMSTORE.ID adalah usaha yang bergerak di bidang penjualan produk kecantikan (kosmetik) yang berada di Jl. SM Raja Kisaran Kecamatan Kisaran Barat Kabupaten Asahan Sumatera Utara. Saat ini Toko RSMSTORE.ID hanya menggunakan facebook dan media sosial lainnya untuk promosi produk yang dijual. Jumlah barang yang terjual dan jumlah pelanggan pada Toko RSMSTORE.ID mulai bulan Januari sampai dengan bulan November 2021, dimana terdapat penurunan jumlah barang yang terjual di satu bulan terakhir. Tentu hal ini berdampak pada keuntungan yang diperoleh oleh toko. Sadar akan fakta bahwa kepuasan pelanggan merupakan hal yang penting dalam suatu bisnis, maka diperlukan sebuah sistem yang dapat membantu toko dalam meningkatkan penjualan. Ketatnya persaingan bisnis di era digital saat ini membuat Toko RSMSTORE.ID harus melakukan strategi pemasaran untuk mengelola pelanggannya, Meningkatkan pelanggan baru dan mempertahankan pelanggan lama. Sejalan dengan perkembangan teknologi dan sosial media saat ini, berbagai upaya dilakukan untuk meningkatkan penjualan. Salah satu cara yang dapat dilakukan sebuah toko agar mampu bersaing dalam dunia bisnis penjualan adalah dengan menerapkan sebuah sistem atau metode yaitu CRM (Customer Relationship Management).
Kata Kunci: CRM; produk kecantikan (kosmetik); PHP dan MySQL
Abstract:Abstract: MitaShop shop is a shop that sells various kinds of cosmetic products. Currently, the MitaShop Store records sales transactions with a notebook, the fulfillment of cosmetic supplies is still in the estimate, so…
there is often a buildup of products that rarely sell and there is no daily report data so that store owners cannot quickly refill products. From these problems, a Data Mining system was created which aims to minimize and maximize the supply of cosmetic products. By using the Apriori Algorithm method, which is to calculate the highest frequency value to be able to find out the results of selling cosmetic products. So the results of this study can provide an overview to store owners in managing and controlling the pattern of inventory of cosmetic products at MitaShop Stores better.
Keywords: Apriori Algorithm; Data Mining; Inventory
Abstrak: Toko MitaShop adalah toko yang menjual berbagai macam produk kosmetik. Saat ini Toko MitaShop melakukan pencatatan transaksi penjualan dengan buku catatan, pemenuhan persediaan kosmetik masih dalam perkiraan sehingga sering terjadi penumpukan produk yang jarang laku dan belum adanya data laporan harian sehingga pemilik Toko tidak bisa dengan cepat melakukan pengisian produk kembali. Dari permasalahan tersebut maka dibuatlah sistem Data Mining yang bertujuan untuk meminimal dan maksimalkan persediaan produk kosmetik. Dengan menggunakan metode Algoritma Apriori yaitu menghitung nilai frekuensi tertinggi untuk dapat mengetahui hasil penjualan produk kosmetik. Maka hasil dari penelitian ini dapat memberikan gambaran kepada pemilik toko dalam mengatur dan mengontrol pola persediaan produk kosmetik di Toko MitaShop dengan lebih baik lagi.
Kata kunci: Algoritma apriori; Data mining; Persediaan
Abstract:Abstract: The rapid growth of the cosmetics industry on e-commerce platforms has intensified competition, creating a critical need for effective, data-driven marketing strategies. This study aims to conduct a comparative…
analysis of machine learning algorithms to predict the sales categories (High, Medium, Low) of cosmetic products on the Tokopedia marketplace. Four classification models; Random Forest, XGBoost, Logistic Regression, and Naive Bayes were trained and evaluated on data collected via web scraping. The methodology incorporates the Synthetic Minority Over-sampling Technique (SMOTE) to address significant class imbalance and GridSearchCV for hyperparameter optimization to ensure a fair and robust comparison. The experimental results conclusively show that the Random Forest model achieved the best performance, yielding the highest F1-Score Macro Average of 0.75 and an accuracy of 85.3%. The superior model was subsequently implemented in a simple recommendation system to simulate optimal discount strategies, demonstrating its practical utility in providing actionable insights for business decisions.
Keywords: classification; comparative analysis; machine learning; sales prediction; SMOTE
Abstrak: Pertumbuhan pesat industri kosmetik pada platform e-commerce telah membuat persaingan ketat, sehingga menciptakan kebutuhan krusial akan strategi pemasaran yang efektif dan berbasis data. Penelitian ini bertujuan untuk melakukan analisis komparatif terhadap algoritma machine learning untuk memprediksi kategori penjualan (Tinggi, Sedang, Rendah) produk kosmetik di marketplace Tokopedia. Empat model klasifikasi, yaitu Random Forest, XGBoost, Regresi Logistik, dan Naive Bayes, dilatih dan dievaluasi menggunakan data yang dikumpulkan melalui web scraping. Metodologi penelitian ini menerapkan Synthetic Minority Over-sampling Technique (SMOTE) untuk mengatasi ketidakseimbangan kelas yang signifikan dan GridSearchCV untuk optimisasi hyperparameter guna memastikan perbandingan yang adil. Hasil eksperimen menunjukkan bahwa model Random Forest mencapai performa terbaik, dengan menghasilkan F1-Score Macro Average tertinggi sebesar 0,75 dan akurasi 85,3%. Model unggul ini kemudian diimplementasikan dalam sebuah sistem rekomendasi sederhana untuk menyimulasikan strategi diskon yang optimal, yang menunjukkan kegunaan praktisnya dalam memberikan wawasan yang dapat ditindaklanjuti untuk pengambilan keputusan bisnis.
Kata kunci: analisis komparatif; klasifikasi; machine learning; prediksi penjualan; SMOTE
Abstract:AbstractAl-Fazza Cosmetic Store is a store engaged in the sale of cosmetics. In an effort to develop and increase sales value, Al-Fazza Store began selling various accessories such as bracelets, necklaces, hair clips and…
headscarves. To get quality goods and maximum profit, supplier selection is important. However, supplier selection is a problem because each supplier has its own advantages and disadvantages and uniqueness. To help select suppliers at the Al-Fazza Cosmetic Store, the decision support system can provide decision recommendations quickly and accurately based on the criteria given by the decision maker. The method that will be used in processing data and determining decisions in this decision support system is simple additive weighting (saw). The decision results provided by this method can be used as recommendations by decision makers in determining the best supplier.
Keywords: simple additive weighting; information systems; decision support systems; suppliers
Abstrak: Toko Kosmetik Al-Fazza merupakan toko yang bergerak di bidang penjualan kosmetik. Dalam upaya untuk mengembangkan dan meningkatkan nilai penjualan, Toko Al-Fazza mulai menjual berbagai aksesoris seperti gelang, kalung, jepit rambut, dan jilbab. Untuk mendapatkan barang yang berkualitas dan keuntungan yang maksimal, pemilihan supplier merupakan hal yang penting. Akan tetapi, pemilihan supplier menjadi suatu permasalahan karena setiap supplier memiliki kelebihan dan kekurangan serta keunikannya masing-masing untuk membantu pemilihan supplier pada Toko Kosmetik Al-Fazza. Sistem pendukung keputusan tersebut dapat memberikan rekomendasi keputusan secara cepat dan tepat berdasarkan kriteria yang diberikan oleh pengambil keputusan. Metode yang akan digunakan dalam pengolahan data dan penentuan keputusan pada sistem pendukung keputusan ini adalah simple additive weighting (saw). Hasil keputusan yang diberikan oleh metode ini dapat digunakan sebagai rekomendasi oleh pembuat keputusan dalam menentukan supplier terbaik.
Kata kunci: simple additive weighting; sistem informasi; sistem penunjang keputusan;pemasok