Abstract:This study discusses the optimization of a company's financial performance through working capital management and capital structure policies. To increase profitability (ROA), companies require efficient cash conversion cycle…
ycle management and optimal funding supported by internal company characteristics. The research problem proposed is to determine how to achieve increased profitability in an automotive distributor company through the efficiency factors of Cash Conversion Cycle (CCC), Firm Size (Firm Size), Leverage (DER), and historical profitability factors (ROA_Lag). The sample of this study is the financial statements of PT New Ratna Motor (Nasmoco Group) in Semarang City for the 2021-2024 period, which were transformed into quarterly data (N=16). The results of data analysis indicate that this research model has a good level of feasibility (goodness of fit) with the ability to explain variations in profitability (Adjusted R Square) of 78.1% and successfully overcome autocorrelation interference. Simultaneously, there is a strong relationship between the independent variables and the company's profit movements. Partially, the Cash Conversion Cycle (CCC) variable is proven to have a negative and significant effect on profitability, while the Firm Size and Leverage variables have not shown a significant effect at the 95% confidence level.
Abstract:This study addresses the limitations of traditional Customer Relationship Management (CRM) systems by analyzing the adoption and impact of Artificial Intelligence (AI) integration (AI-Powered CRM). Informed by the Technology…
logy Acceptance Model (TAM) for employee perception and the Resource-Based View (RBV) for strategic capability, the primary objective is to evaluate how AI-driven automation enhances customer service processes and, subsequently, impacts marketing efficiency. The research employs an exploratory qualitative case study design, utilizing in-depth interviews, document analysis, and system observation on a single organization to gather rich, contextual data. The results demonstrate that AI integration significantly accelerated service, with chatbots handling 65–70% of routine queries and drastically reducing response times. Operationally, these improvements fostered high employee acceptance (TAM). Strategically, the AI-Powered CRM generated refined predictive analytics, resulting in a 12–18% improvement in campaign conversion rates and efficient resource allocation, confirming that AI creates a valuable and difficult-to-imitate strategic capability (RBV). The study concludes that AI-Powered CRM is a critical enabler for both operational efficiency and long-term strategic competitiveness in digital markets.
Abstract:The development of digital technology has transformed consumer consumption patterns, particularly in the fashion industry, which is increasingly dominated by e-commerce platforms. Shopee, as one of the largest marketplaces…
es in Southeast Asia, has become a primary choice for consumers when shopping for fashion products. One factor influencing consumer purchasing decisions is the availability of online reviews on the platform. This study aims to analyze the role of online reviews as a mediating variable in fashion product purchasing decisions on Shopee. Online reviews serve as a source of information that helps consumers evaluate product quality, seller reputation, and the level of satisfaction of previous users. The research method used was a quantitative approach, distributing questionnaires to Shopee consumers who had previously purchased fashion products. The collected data was then analyzed using a path analysis model to examine the direct and indirect relationships between factors influencing purchasing decisions. The results show that online reviews play a significant role as a mediator in the decision-making process. Consumers tend to trust other users' real-life experiences more than solely the seller's product description. Positive reviews increase consumer interest and confidence in a product, while negative reviews can delay or even cancel a purchase decision. These findings confirm that the presence of online reviews is not only a supporting factor but also serves as a bridge, mediating the relationship between consumer perceptions of a product and the final purchase decision. The implication of this research is that sellers on Shopee need to pay attention to product and service quality to generate positive reviews, thereby increasing purchase conversion rates.
Abstract:The rapid development of digital marketing has significantly transformed business strategies, particularly for Micro, Small, and Medium Enterprises (MSMEs). Instagram has evolved beyond a social networking platform into…
a strategic marketing tool equipped with analytical features such as Instagram Insight. This study aims to examine the effect of Instagram Insight utilization on consumer purchase decisions at Rumah Madu, an MSME operating in Bandar Lampung, Indonesia.
This research adopts a quantitative approach using a survey method. Data were collected from 92 respondents through structured questionnaires and analyzed using SPSS version 27. The independent variable is the utilization of Instagram Insight, measured through three dimensions: follower demographic analysis, follower active time analysis, and content performance analysis. The dependent variable is consumer purchase decision. Statistical analysis includes validity and reliability testing, classical assumption tests (normality, multicollinearity, and heteroscedasticity), simple linear regression, t-test, F-test, and coefficient of determination (R²).
The results suggest that Instagram Insight functions primarily as an internal strategic evaluation tool rather than a direct determinant of consumer purchasing behavior. This study contributes to the digital marketing literature by highlighting the gap between analytic tool utilization and actual consumer conversion in MSMEs. Practical implications emphasize the need for better data interpretation skills and integrated marketing strategies beyond analytics usage alone.
Abstract:This research was conducted in order to determine or to re-examine the performances of broiler chickens fed ration containing cinnamon bark powder (Cinnamomum burmannii). Eighty of CP 707 broiler chickens aged of 2 weeks…
ks were used and kept until 6 weeks old. Completely Randomized Design with 5 treatments and 4 replications each treatment was used in this study; the treatments used were, T0= 100% basal ration without cinnamon bark powder (CBP), T1= 99.5% basal ration + 0.5% CBP, T2= 99% basal ration + 1% CBP, T3= 98.5% basal ration + 1.5 % CBP, and T4= 98% basal ration + 2% CBP. The measurements taken were feed consumption, weight gain, feed conversion, and final body weight. The results of analysis of variance (ANOVA) and Duncan test showed that, giving cinnamon bark powder up to 2% in the ration had an effect on CP 707 broiler chickens aged 2-6 weeks; had a very significantly different effect (P<0.01) on body weight gained and so, on final body weight; and significantly different (P <0.05) on feed conversion, but not on feed consumption. In this study, the higher the level of CBP in the ration, the weight gained and final body weight decreased but feed conversion increased. Based on the results of the analysis and discussion, it can be concluded that giving cinnamon bark powder as a natural feed additive up to 2% in the feed did not improve the performance of CP 707 broiler chickens, because of weight gained and final body weight of the chickens decreased, while, feed conversion increased, which means that, economically it was not getting better.
Abstract:The processing of fisheries products, characterized by the diversification of processed goods, presents a promising avenue for entrepreneurial endeavors. Product diversification holds the potential to augment the intrinsic…
ic value of products and concurrently elevate public consumption of fisheries-related commodities. This research aims to analyze the prospective added value stemming from the pempek businesses in Melayu Sub-District, Tenggarong, Kutai Kertanegara. The acquired data underwent meticulous processing, tabulation, and subsequent analytical examination, characterized by both descriptive and value-added analyses, utilizing the Hayami model. The research showed that the managed pempek businesses are predominantly of small scale, utilizing relatively simple technology. On average, a single production cycle yields 126.64 kg, or monthly output of 633.2 kg. The value-added analysis reveals a figure of 186,734 IDR per kg, with a commendable value-added ratio of 70.95%. This signifies that the conversion of belida fish into pempek not only imparts substantial value but also presents a highly promising avenue for further expansion and development.
Abstract:The development of digital technology has changed the way businesses market products, including culinary businesses such as chili chips. This article examines the role of social media in increasing sales of chili chips in…
n Sibuhuan Market, North Sumatra. Social media, through platforms such as Instagram, Facebook, and TikTok, allows businesses to introduce their products to a wider audience, increase brand awareness, and reach markets outside of the local area. In addition, social media provides an opportunity to interact directly with consumers, receive feedback, and build customer loyalty. Marketing through creative content, such as eye-catching photos and videos, as well as promotions through influencers or contests, also contribute to increased buying interest. By taking advantage of the e-commerce features available on social media, the purchase process becomes easier, which also drives increased sales conversions.
Abstract:Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan efektivitas pemasaran digital UMKM Pasar Bengkel yang memproduksi ceker ayam siap konsumsi melalui pemanfaatan fitur TikTok Live. Permasalahan yang dihadapi…
i mitra meliputi sistem pemasaran yang masih konvensional, rendahnya jangkauan promosi, terbatasnya interaksi dengan konsumen, serta penurunan penjualan akibat perubahan pola pasar. Metode pelaksanaan menggunakan Participatory Action Research (PAR) yang meliputi observasi, sosialisasi, pelatihan, pendampingan, dan evaluasi selama 30 hari yang dibagi menjadi enam periode. Evaluasi dilakukan menggunakan analisis Growth Rate, Sales Growth Ratio (SGR), dan Conversion Rate (CR). Hasil kegiatan menunjukkan rata-rata jumlah penonton TikTok Live meningkat dari 18 menjadi 166 orang atau sebesar 822,2%. Jumlah transaksi meningkat dari 4 menjadi 28 transaksi (600,0%), sedangkan omzet meningkat dari Rp520.000 menjadi Rp3.960.000 (661,5%). Nilai SGR menunjukkan penjualan meningkat 3 kali lipat, transaksi 7 kali lipat, dan omzet 7,62 kali lipat, sedangkan CR mencapai 16,87% yang termasuk kategori sangat baik. Hasil tersebut membuktikan bahwa TikTok Live efektif memperluas jangkauan promosi, meningkatkan interaksi dengan konsumen, serta mendorong peningkatan penjualan dan pendapatan UMKM secara berkelanjutan.
Abstract:The growing dominance of impulse buying within TikTok's live streaming commerce, particularly in the Fashion product segment, signifies a transformation in digital consumer behavior influenced by the dynamics of real-time…
e interactivity and incentive-based promotional strategies. This study empirically examines the effects of real-time interactivity and promotion incentive information on impulse buying behavior, with perceived trust serving as a mediating variable that explains the psychological pathway between digital stimuli and spontaneous purchase decisions. Employing a quantitative approach with an associative causal design, data were collected from 231 active TikTok users in Indonesia and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) version 4.0. The analysis reveals that both exogenous variables significantly enhance the tendency for impulsive purchases, both directly and indirectly through the mediation of perceived trust. Responsive real-time interactions and exclusive, time-sensitive promotions effectively foster consumer trust in sellers, which subsequently accelerates unplanned buying behavior. These findings advance theoretical discourse in digital marketing literature by emphasizing the critical integration of interactivity, promotional stimuli, and affective trust mechanisms in shaping purchasing decisions within persuasive and simultaneous digital environments. The practical implications of this study offer strategic insights for businesses, encouraging the optimization of interactive features and promotional tactics to establish credibility and drive instant sales conversions in the context of e-commerce live streaming.
Abstract:Abstrak: A pharmacy is a health service facility to help improve the health of the community, a pharmacy is also a place for professional pharmacists to practice their work. To determine the amount of stock inventory, Jaka…
ka Wijaya Pharmacy requires a clusterization of sales stock data. The method that can be used is the K-Means algorithm. This algorithm is based on a simple idea. K-Means is a distance-based clustering method that divides data into a number of clusters and this algorithm only works on numeric attributes. The data processed in this research is a sample taken from the Jaka Wijaya Pharmacy data in 2022. The Jaka Wijaya Pharmacy dataset consists of the attributes No, Drug Item, Type, Packaging, Initial Stock, Cost Price, Unit Conversion, Selling Price, Number of Transactions, Ending Stock, Shelf, Warehouse-Office Codes. With the K-Means Clustering method, it is possible to group drug sales data with stock that is not selling well as cluster 0, stock that is selling well as cluster 1, and stock that is selling very well as cluster 2. The sample data to be tested consists of 170 data from the Jaka Wijaya Pharmacy. Where the cluster results show that there are several results, namely cluster 0 totaling 102, cluster 1 totaling 34, and cluster 2 totaling 34 decisions, where the decisions include very in demand, in demand, not in demand.
Keywords: Data Mining; Jaka Wijaya Pharmacy; K-means Cluster
Abstrak: Apotek merupakan sarana pelayanan kesehatan untuk membantu meningkatkan kesehatan bagi masyarakat, apotek juga sebagai tempat praktik tenaga profesi apoteker dalam melakukan pekerjaan. Untuk menentukan jumlah persediaan stok, Apotek Jaka Wijaya membutuhkan suatu clusterisasi data stok penjualan. Metode yang dapat digunakan yaitu algoritma K-Means. Algoritma ini didasarkan pada ide sederhana. K-Means adalah metode Clustering berbasis jarak yang membagi data ke dalam sejumlah cluster dan algoritma ini hanya bekerja pada atribut numeric. Data yang diolah dalam penelitian ini merupakan sampel yang diambil dari data Apotek Jaka Wijaya pada tahun 2022. Dataset Apotek Jaka Wijaya terdiri dari atribut No, Item Obat, Jenis, Kemasan, Stok Awal, Harga Pokok, Konversi Satuan, Harga Jual, Jumlah Transaksi, Stok Akhir, Rak, Kode Gudang-Kantor. Dengan metode K-Means Clustering maka dapat mengelompokkan data penjualan obat dengan stok kurang laris sebagai cluster 0, stok laris sebagai cluster 1, dan stok sangat laris sebagai cluster 2. Data sampel yang akan diuji terdiri dari 170 data dari Apotek Jaka Wijaya. Yang dimana hasil cluster menunjukkan terdapat beberapa hasil yaitu cluster 0 berjumlah 102, cluster 1 berjumlah 34, dan cluster 2 berjumlah 34 keputusan yang dimana keputusan itu meliputi sangat laris, laris, kurang laris.
Kata kunci: Apotek Jaka Wijaya; Data Mining; K-means Cluster