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All Journal Widya Cipta : Jurnal Sekretari dan Manajemen AFEBI Economic and Finance Review Applied Information System and Management JABE (Journal of Applied Business and Economic) Jurnal Inovasi Pendidikan Ekonomi Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Journal of Applied Data Sciences Journal Economic and Strategy (JES) Al-Idzaah : Jurnal Dakwah dan Komunikasi Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Journal Of Human And Education (JAHE) LEBAH Innovative: Journal Of Social Science Research Nuansa: Jurnal Penelitian Ilmu Sosial dan Keagamaan Islam Optimum: Jurnal Ekonomi dan Pembangunan JURNAL DATA SAINS DAN TEKNOLOGI INFORMASI (DASTIS) Edumaspul: Jurnal Pendidikan Widya Cipta : Jurnal Sekretari dan Manajemen
Sri Mona Octafia
Universitas Perintis Indonesia
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Inovasi Olahan Bayam Brazil Menjadi Kuliner Sehat Pada Kelompok Tani “Mekar Tani" Kabupaten Lima Puluh Kota Indrayati, Sri; Laila, Wilda; Octafia, Sri Mona; Harleni, Harleni; Yensasnidar, Yensasnidar; Suryani, Suryani
Journal Of Human And Education (JAHE) Vol. 4 No. 6 (2024): Journal of Human And Education (JAHE)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jh.v4i6.1538

Abstract

The “Mekar Tani” farmer group is one of the farmer groups located in Jorong Gando, Nagari Piobang, Payakumbuh District, Lima Puluh Kota Regency, West Sumatra Province, and has 20 members. Previously, this farmer group had received training activities on compost production skills, and received Brazilian spinach seeds from the activity to be developed. Now, this farmer group is actively cultivating Brazilian Spinach by utilizing their yard and some other vacant land. However, in terms of utilizing Brazilian spinach, the farmer group still utilizes Brazilian spinach as a vegetable or only as an ornamental plant. The group has not been able to process Brazilian spinach into healthy food processing innovations. Therefore, this effort is carried out in the form of mentoring in the form of skills training to develop processed Brazilian Spinach as a healthy culinary. The purpose of this activity is to expand partners' knowledge and skills in producing food products from Brazilian Spinach. The results of the activity showed an increase in partners' knowledge and skills in processing Brazilian spinach into processed healthy food increased from 36% to 85.5%. All training participants were very enthusiastic about participating in this training activity. Partners are determined to continue the production of healthy food from Brazilian spinach in the future so that they can be more skilled, and can increase group income.
Analisis Modal Sosial Terhadap Kinerja dan Produktivitas Bisnis Perempuan: Kajian UMKM di Kota Padang Elsa Widia; Sri Mona Octafia
NUANSA: Jurnal Penelitian Ilmu Sosial dan Keagamaan Islam Vol. 20 No. 2 (2023)
Publisher : Research Institute and Community Engagement of UIN MADURA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19105/nuansa.v20i2.10485

Abstract

Micro, Small, and Medium Enterprises (MSMEs) led by women have been able to contribute to the national economy, with more than half of MSMEs in Indonesia being operated by women. However, this contribution is still not maximized, as predominantly, women-led MSMEs in Indonesia operate on a small scale and have informal status. The dual role, at times, becomes a reason for them to choose a small scale, especially for women who also work as homemakers. Generally, research tends to focus on the overall performance of MSMEs without specific studies on social capital. There is very little research addressing women-led MSMEs and their actions. This study aims to explore the entrepreneurial concept implemented by women-led MSMEs, considering not only managerial capabilities but also social capital elements such as trust levels, mutual assistance, participation, and moral/cultural traditions. This research will analyze the role of social capital resources in women-led MSMEs in Padang City, specifically in the Koto Tangah sub-district, using qualitative analysis methods such as Descriptive Crosstabs Analysis and Binary Logistic Regression Analysis. Data will be obtained through questionnaires, interviews, and observations. The research results reveal that social capital is deemed capable of building a strong network and has the potential to enhance the performance of women-led MSMEs in Padang City. (UMKM Perempuan telah mampu berkontribusi pada perekonomian nasional bahkan diketahui lebih dari setengah UMKM di Indonesia dijalankan oleh perempuan. Namun kontribusi tersebut masih belum maksimal, karena secara dominan UMKM perempuan di Indonesia berada pada skala yang kecil dan status informal. Peran ganda kadang kala juga menjadi suatu alasan mereka memilih di skala yang kecil, khususnya bagi UMKM perempuan yang juga berprofesi sebagai ibu rumah tangga. Pada umumnya penelitian hanya memfokuskan kinerja UMKM secara umum tanpa adanya kajian yang spesifik tentang modal sosial. Sangat sedikit penelitian yang membahas mengenai UMKM perempuan dan cara mereka bertindak. Penelitian ini akan membahas konsep kewirausahaan yang dilakukan oleh UMKM perempuan dengan memadukan tidak hanya masalah kemampuan managerial tapi juga terkait modal sosial seperti tingkat kepercayaan, tolong menolong, pastisipasi dan moral/adat istiadat. Penelitian ini akan menganalisis mengenai peran sumber daya modal sosial pada UMKM Perempuan di Kota Padang khususnya di Kecamatan Koto Tangah menggunakan analisis kualitatif seperti Analisis Deskriptif Crosstabs dan Analisis Regresi Binary Logistik. Data diperoleh melalui metode kuisioner, wawancara dan Observasi. Hasil penelitian mengungkapkan bahwa modal sosial dinilai dapat membangun sebuah jaringan yang kuat dan berpotensi dalam peningkatan kinerja UMKM Perempuan di Kota Padang.)
Analisis Perbandingan Efektivitas Strategi Pemasaran Digital Dalam Meningkatkan Penjualan Produk UMKM di Kota Padang Octafia, Sri Mona; Rahim, Rida; Syafrizal, Syafrizal; Hendra Lukito
Innovative: Journal Of Social Science Research Vol. 4 No. 4 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i4.13308

Abstract

Digital marketing offers many advantages such as wider reach, lower costs, and the ability to monitor and measure results in real time. This is becoming crucial for micro, small and medium-sized enterprises (SMEs) that often have limited resources and budgets. Padang City, as one of the major cities in Indonesia, has many UMKMs that play an important role in the local economy. The study aims to compare the effectiveness of the three major digital marketing strategies Instagram, Facebook, and TikTok in the context of UMKM in Padang City, as well as to see how each of these strategies influence sales growth. This research uses the One Way Anova method to analyze the data collected through surveys against UMKMs who are active using digital marketing strategies in Koto Tangah Kota Padang district. Research results show that there are significant differences in the effectiveness of these three digital marketing strategies in increasing sales of UMKM products in Padang City. Keyword : City of Padang, Digital Marketing, Sales, UMKM
Analisis Penyerapan Tenaga Kerja Sektor Industri Manufaktur di Sumatera Barat Hadia, Dina; Octafia, Sri Mona; Weriframayeni, Annisa
Innovative: Journal Of Social Science Research Vol. 4 No. 4 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i4.13927

Abstract

Pembangunan ekonomi yang mengarah pada sektor industri merupakan sektor penggerak utama pertumbuhan ekonomi termasuk dalam penyediaan lapangan pekerjaan bagi tenaga kerja. Oleh sebab itu penelitian ini bertujuan untuk mengetahui bagaimana pengaruh investasi sektor industri, upah sektor industri, PDRB sektor industri, dan jumlah industri terhadap penyerapan tenaga kerja pada sektor industri manufaktur di Sumatera Barat. Metode analisis yang digunakan dalam penelitian ini adalah Analisis Regresi Berganda dengan menggunakan data time series dari tahun 2000-2021. Variabel independen yang digunakan dalam penelitian ini adalah investasi sektor industri, upah sektor industri, PDRB sektor industri, dan jumlah industri, sedangkan variabel dependennya adalah penyerapan tenaga kerja sektor industri manufaktur. Hasil dari penelitian ini menunjukkan bahwa keempat variabel independen dalam penelitian berpengaruh terhadap penyerapan tenaga kerja sektor industri di Sumatera Barat. Kata Kunci: Investasi, jumlah industri, PDRB sektor industri, penyerapan tenaga kerja, upah
Affectors on the Manufacturing Sector’s Labor Absorption Dina Hadia; Octafia, Sri Mona; Weriframayeni, Annisa
AFEBI Economic and Finance Review Vol. 9 No. 2 (2024): December
Publisher : Asosiasi Fakultas Ekonomi dan Bisnis Indonesia

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

Abstract

Economic development that focuses on the industrial sector is a major driving force of economic growth, including in providing employment for the workforce. Therefore, this study aims to determine the effect of industrial sector investment, industrial sector wages, industrial sector GRDP, and the number of industries on labor absorption in the manufacturing industry sector in West Sumatra. The analysis method used in this study is Multiple Regression Analysis using time series data from 1996-2012. The independent variables used in this study are industrial sector investment, industrial sector wages, industrial sector GRDP, and the number of industries, while the dependent variable is labor absorption in the manufacturing sector. The results of this study show that simultaneously all four independent variables in this study have an effect on the dependent variable. However, partially, the industrial sector investment variable does not have a significant effect on labor absorption, and the industrial sector GRDP variable has a negative and significant effect on labor absorption, while the wage and number of industries variables have a positive and significant effect on labor absorption in the manufacturing industry sector in West Sumatra.
Beyond experience: how customer engagement transforms AI interactions into Generation Z loyalty Sri Mona Octafia; Dina Hadia; Annisa Weriframayeni; Rio Andika Malik; Vicky Setia Gunawan
Edumaspul: Jurnal Pendidikan Vol 9 No 2 (2025): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33487/edumaspul.v9i2.9215

Abstract

The use of Artificial Intelligence (AI) in customer service, including chatbots, personalized recommendations, and virtual assistants, has significantly improved service efficiency and customer experience. However, how these AI-enabled experiences translate into long-term customer loyalty is still not fully understood, especially among Generation Z, who expect digital interactions to be efficient, authentic, and engaging. Previous studies indicate that customer engagement—reflecting cognitive, emotional, and behavioral involvement—may play an important mediating role, yet empirical evidence in emerging market contexts such as Indonesia remains limited. This study aims to examine the mediating role of customer engagement in the relationship between AI-enabled experience and sustainable loyalty among Generation Z consumers in Padang City, Indonesia. Using a quantitative cross-sectional survey design, data were collected from Generation Z respondents who had interacted with AI-based services in the last six months. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test both direct and indirect relationships among variables. The results indicate that AI-enabled experience has a positive and significant effect on sustainable loyalty, both directly and indirectly through customer engagement. AI-enabled experience significantly influences customer engagement, which in turn strongly affects sustainable loyalty, confirming the partial mediating role of engagement. These findings highlight that AI-driven services should be designed not only for efficiency but also to foster active interaction and engagement in order to build long-term loyalty among Generation Z consumers.
RANCANG BANGUN ARSITEKTUR SISTEM INFORMASI MARKETPLACE JASA FOTOGRAFI BERBASIS WEB Rani Mukherjee; Setia Gunawan, Vicky; Sri Mona Octafia
JURNAL DATA SAINS DAN TEKNOLOGI INFORMASI (DASTIS) Vol. 3 No. 01 (2025): DASTIS - DESEMBER 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Institut Teknologi Bisnis Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62003/b413s655

Abstract

The fundamental issue in the photography service industry in Padang City lies in the dominance of conventional transaction mechanisms, which result in scheduling inefficiencies and low service transparency. This study focuses on the design and development of an information system in the form of a marketplace platform called Ragam Lensa as a technical solution to digitalize these business processes. The system development methodology applies a structured software engineering approach utilizing Unified Modeling Language (UML) to precisely design the data architecture and user interfaces. The system is built using dynamic web-based technologies to ensure broad accessibility for users. The outcome of this design and development process is the creation of a digital infrastructure capable of integrating portfolio search functions, real-time schedule availability validation, and accountable transaction management within a single unified ecosystem. System testing demonstrates that the architecture successfully converts manual workflows into automated processes, minimizes data redundancy, and enhances the validity of bookings. It is concluded that the development of the Ragam Lensa system significantly contributes to improving operational efficiency and strengthening the competitiveness of photography service providers through service infrastructure modernization.
BARBERFLOW: SISTEM MANAJEMEN ANTRIAN ADAPTIF BERBASIS WEB OPTIMASI LAYANAN BARBERSHOP Rio Andika Malik; Vicky Setia Gunawan; Sri Mona Octafia; Najwa Ramanda
JURNAL DATA SAINS DAN TEKNOLOGI INFORMASI (DASTIS) Vol. 3 No. 02 (2026): DASTIS - MEI 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Institut Teknologi Bisnis Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62003/8pmx2n48

Abstract

Barbershop di Kota Padang menghadapi tantangan dalam manajemen antrean pelanggan yang menyebabkan inefisiensi waktu tunggu fisik dan hilangnya potensi pendapatan (lost opportunity). Penelitian ini bertujuan merancang, mengimplementasikan, dan menguji BarberFlow, sebuah sistem manajemen antrean adaptif berbasis web dengan konsep Business-to-Business (B2B). Metode penelitian menggunakan pendekatan problem-first melalui observasi lapangan, wawancara mendalam, serta penyebaran kuesioner kepada 13 pemilik usaha dan 50 pelanggan. Sistem ini dikembangkan dengan arsitektur serverless memanfaatkan teknologi Google Apps Script (GAS) dan Cloud Spreadsheet sebagai pangkalan data. BarberFlow mengintegrasikan logika antrean First-In-First-Out (FIFO) dengan algoritma perhitungan durasi layanan kapster secara dinamis. Pengujian sistem dilakukan menggunakan metode Black Box Testing untuk validasi fungsional dan kuesioner Post-Study System Usability Questionnaire (PSSUQ) yang melibatkan 15 responden untuk menguji kelayakan sistem (usability). Hasil pengujian fungsional menunjukkan sinkronisasi data perubahan status antrean berjalan presisi tanpa adanya hambatan penundaan data (delay). Sementara itu, hasil evaluasi matriks PSSUQ menunjukkan tingkat penerimaan pengguna (user acceptance) yang sangat baik dengan perolehan skor rata-rata keseluruhan sebesar 4,55 dari skala 5,00 (tingkat kelayakan mencapai 91%). Nilai tersebut mencakup metrik System Usefulness (4,58), Information Quality (4,45), dan Interface Quality (4,62). Kesimpulannya, BarberFlow terbukti efektif mereduksi penumpukan pelanggan di lokasi gerai melalui fitur reservasi tanpa akun (zero-friction) berbasis QR Code, sekaligus menyediakan instrumen manajerial yang andal bagi pemilik usaha untuk mengoptimalkan operasional layanan harian secara berkelanjutan.
Digital Transformation of Women-Owned MSMEs: Marketing Strategies to Adapt to The Dynamics of Consumer Behavior in The Digital Era Sri Mona Octafia; Rio Andika Malik; Elsa Widia
Widya Cipta: Jurnal Sekretari dan Manajemen Vol. 9 No. 2 (2025): September
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/widyacipta.v9i2.11521

Abstract

Women-owned MSMEs play a strategic role in the national economy. However, many women MSMEs do not yet have adequate digital capacity to respond to changes in consumer behavior that now rely on technology in making purchasing decisions. In addition, structural barriers such as limited access to technology and capital, as well as socio-cultural barriers such as gender stereotypes and double workloads, complicate the process of adopting digitalization. Although many studies discuss these challenges, there are still limited studies that specifically explore the digital marketing strategies implemented by women-owned MSMEs in response to the dynamics of consumer behavior, especially in the local context. This study aims to analyze the digital marketing strategies adopted by women-owned MSMEs in Padang City. The approach used is a mixed method with an explanatory sequential design, starting with a survey of 125 women MSMEs, followed by in-depth interviews. The findings of this study indicate a significant shift in consumer behavior in the digital era, emphasizing the importance of convenience and ease in purchasing decisions. Therefore, it is crucial for women-led MSMEs to understand these behavioral changes and master appropriate marketing strategies to thrive in this evolving market landscape.
IndoBERT-SupCon: A Supervised Contrastive Learning Model for Analyzing Public Perception on Halal Tourism Sri Mona Octafia; Rio Andika Malik; Annisa Weriframayeni; Delpa Delpa
Journal of Applied Data Sciences Vol 7, No 1: January 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i1.1045

Abstract

The primary objective of this research is to develop and evaluate a robust deep learning model for accurately analyzing stakeholder perceptions of halal tourism development in Pariaman, West Sumatra, based on qualitative textual data. The main contribution is the introduction of IndoBERT-SupCon, a novel architecture that enhances the Indonesian BERT model with a Supervised Contrastive Learning (SupCon) mechanism. A novel method for producing more discriminative feature representations for complex viewpoints is presented in this paper, which is one of the first to use this sophisticated fine-tuning technique to Indonesian socio-political sentiment analysis. Conceptually, the model is trained to simultaneously minimize classification error while optimizing the feature space, pulling representations of similar sentiments closer together and pushing dissimilar ones further apart. To achieve this, we collected 1,022 primary textual responses through online surveys with tourists and in-depth interviews with key stakeholders, including SME owners and government officials. The SMOTE oversampling technique was employed on the training data to mitigate class imbalance. Experimental results on the test data demonstrate that the IndoBERT-SupCon model achieved outstanding performance, with a final accuracy of 96.59% and a macro F1-score of 0.97. These results significantly surpass the performance of a standard fine-tuned IndoBERT baseline, confirming the effectiveness of the SupCon approach. The findings provide the Pariaman local government with a highly valid, data-driven tool for more responsive and effective policy formulation. This research offers a robust framework that can be applied to other public policy domains, showcasing the value of advanced deep learning in transforming qualitative stakeholder feedback into actionable insights.
Co-Authors Delpa, Delpa Dina Hadia Dina Hadia Elsa Widia Elsa Widia Elsa Widia Hadia, Dina Harleni, Harleni Hendra Lukito Indrayati, Sri Kurnia, Yosi Muzaki, M.Nabil Najwa Ramanda Rani Mukherjee Rida Rahim Rio Andika Malik Setia Gunawan, Vicky Suryani Suryani Syafrizal Syafrizal Vicky Setia Gunawan Vicky Setia Gunawan Vicky Setia Gunawan Werifmayeni, Annisa Weriframayeni, Annisa Wilda Laila