Ahmad, Kaffin Uwais (2026) Pemanfaatan Analitika Data Point Of Sale Sebagai Pendorong Peningkatan Perceived Business Process Performance Pada Umkm: Analisis Berbasis Kerangka Technology-organization-environment. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Banyak penelitian telah mengkaji faktor adopsi teknologi digital, namun masih terdapat kesenjangan dalam pemahaman empiris mengenai tahap selanjutnya yaitu pemanfaatan data yang dihasilkan oleh teknologi yang telah diadopsi. Sistem POS modern merupakan sumber data transaksional berharga seperti volume penjualan, preferensi pelanggan, pola permintaan yang jika diolah melalui analitika data, dapat menjadi wawasan strategis untuk peningkatan kinerja proses bisnis. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi pemanfaatan analitika data Point of Sale (POS) serta dampaknya terhadap peningkatan kinerja proses bisnis pada Usaha Mikro, Kecil, dan Menengah (UMKM). Dalam penelitian ini, data yang digunakan berasal dari 139 responden pemilik/manajer atau yang memiliki peran dalam pengambilan keputusan strategis UMKM yang sudah lebih dari 6 bulan menggunakan sistem POS dengan fitur analitika data. Data ini dianalisis untuk menguji model struktural dan peran mediasi menggunakan Partial Least Squares-Structural Equation Modeling (PLS-SEM) dengan software SmartPLS. Hasil penelitian ini menunjukkan bahwa pada konteks teknologi, faktor yang berpengaruh signifikan terhadap pemanfaatan data adalah manfaat nyata yang dirasakan (Relative Advantage) dan kualitas data (Data Quality) sedangkan persepsi kerumitan sistem (Perceived Complexity) tidak berpengaruh signifikan. Dari sisi lingkungan, tekanan persaingan pasar (Competitive Pressure) dan dukungan teknis dari penyedia sistem (Vendor/Developer Support) terbukti menjadi pendorong krusial. Sebaliknya, variabel dukungan pimpinan (Top Management Support) dan tingkat pemahaman data (Data Literacy) ditemukan tidak memiliki pengaruh yang signifikan. Selain itu, pengujian terhadap variabel kontrol demografi UMKM yang meliputi usia usaha, ukuran usaha, dan intensitas transaksi menunjukkan bahwa faktor-faktor tersebut tidak memiliki pengaruh signifikan terhadap tingkat pemanfaatan data maupun peningkatan kinerja proses bisnis. Penelitian ini juga membuktikan bahwa pemanfaatan analitika data POS memiliki dampak positif dan signifikan dalam meningkatkan kinerja proses bisnis dengan transformasi data transaksi menjadi wawasan manajerial bertindak sebagai mediator utama.
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Many studies have examined the factors of digital technology adoption, but there remains a gap in empirical understanding regarding the next stage, namely the utilization of data generated by the adopted technology. Modern POS systems are a source of valuable transactional data such as sales volume, customer preferences, and demand patterns, which, when processed through data analytics, can provide strategic insights for business process performance. This study aims to analyze the factors influencing the utilization of Point of Sale (POS) data analytics and its impact on business process performance in Micro, Small, and Medium Enterprises (MSMEs). In this study, data were used from 139 respondents who were owners/managers or those who had a role in strategic decision-making in MSMEs who had been using POS systems with data analytics features for more than six months. This data was analyzed to test the structural model and mediation role using Partial Least Squares-Structural Equation Modelling (PLS-SEM) with SmartPLS software. The results of this study indicate that in the context of technology, the factors that significantly influence data utilization are perceived benefits (Relative Advantage) and data quality (Data Quality), while the perception of system complexity (Perceived Complexity) has no significant effect. From the environmental perspective, market competitive pressure (Competitive Pressure) and technical support from system providers (Vendor/Developer Support) are proven to be crucial drivers. In contrast, the variables of leadership support (Top Management Support) and the level of data understanding (Data Literacy) were found to have no significant influence. In addition, testing of MSME demographic control variables including business age, business size, and transaction intensity showed that these factors did not have a significant influence on the level of data utilization or business performance. This study also proves that the use of POS data analytics has a positive and significant impact on improving business process performance, where the activity of transforming transaction data into managerial insights acts as a key mediator.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | UMKM, Analitika Data POS, Perceived Business Process Performance, Kerangka TOE, PLS-SEM,MSME, POS Data Analytics, Business Process Optimization, TOE Framework, PLS-SEM |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD30.213 Management information systems. Dashboards. Enterprise resource planning. Q Science |
| Divisions: | Interdisciplinary School of Management and Technology (SIMT) > 61101-Master of Technology Management (MMT) |
| Depositing User: | Kaffin Uwais Ahmad |
| Date Deposited: | 17 Jul 2026 07:00 |
| Last Modified: | 17 Jul 2026 07:00 |
| URI: | http://repository.its.ac.id/id/eprint/135345 |
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