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Penerapan Manajemen Strategi Menggunakan Metode SWOT dan QSPM pada Industri Kendang Jimbe UD. Karya Mandiri Moch. Rizqi Abdillah; Yeni Roha Mahariani
Jurnal Inovasi Manajemen, Kewirausahaan, Bisnis dan Digital Vol. 2 No. 3 (2025): Agustus : Jurnal Inovasi Manajemen, Kewirausahaan, Bisnis dan Digital
Publisher : Asosiasi Riset Ilmu Manajemen dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jimakebidi.v2i3.722

Abstract

This study aims to apply strategic management to the Jimbe Drum craftsman UMKM, UD. Karya Mandiri in Blitar City through Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis and Quantitative Strategic Planning Matrix (QSPM). The implementation of this strategic management is expected to help UMKM in formulating appropriate business development steps amidst the competition in the traditional musical instrument industry, while maximizing global market opportunities. The research method used is a quantitative descriptive approach with data collection techniques through observation, interviews, and distributing questionnaires to owners, employees, and consumers of UD. Karya Mandiri. The collected data were then analyzed using the Internal Factor Evaluation (IFE) and External Factor Evaluation (EFE) matrices to map the company's strengths, weaknesses, opportunities, and threats. The results of the analysis show that UD. Karya Mandiri's main strengths lie in high product quality, unique designs, and a good reputation in both local and national markets. A prominent weakness is the limited digital promotion, so that reach to the international market is not optimal. Opportunities that can be utilized are the increasing global market interest in traditional musical instruments, while threats include fluctuations in raw material prices, competition from similar products, and changes in music trends among young consumers. Based on the results of the IFE and EFE matrices, UD. Karya Mandiri's position is in quadrant I in the SWOT diagram, which indicates conditions for implementing aggressive strategies, such as market expansion and product diversification. The results of the QSPM analysis show that the priority strategy is export optimization by utilizing superior product quality, which obtained a Total Attractiveness Score (TAS) of 3.42. The implementation of this strategy is expected to expand market share, increase competitiveness at the global level, and strengthen the image of the Kendang Jimbe brand as a typical Indonesian product with high artistic value.
Pendampingan Kegiatan Implementasi Seni Mengajar Berbasis Peer Teaching di TK Al Munawar Tulungagung Dita Hendriani; Dwi Junianto; Ella Rolita Arifianti; Pangki Suseno; Yeni Roha Mahariani
Indonesia Bergerak : Jurnal Hasil Kegiatan Pengabdian Masyarakat Vol. 3 No. 4 (2025): Oktober: Indonesia Bergerak : Jurnal Hasil Kegiatan Pengabdian Masyarakat
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/inber.v3i4.1107

Abstract

The peer teaching method is a strategic learning tool for creating a conducive learning environment, allowing students to play an active role and fostering connectivity between students. This method can be used as an alternative in classroom learning activities where students with the ability can act as tutors. This activity was carried out at AL Munawar Kindergarten in Tulungagung, with stages ranging from planning, training implementation, mentoring, and evaluation. The results of the community service activities were an increase in student abilities, learning outcomes, active and critical thinking skills, and communication skills. To achieve these results, strategic efforts are needed, starting from curriculum development, improving teacher competence, and providing learning facilities. Although it still has a number of weaknesses, including the difficulty of finding the right tutor who is confident and capable of mastering the material, the peer teaching method can be used as a reference for effective learning media in nurturing and developing students.
Training on Statistical Data Processing Using SPSS Application: Pelatihan Pengolahan Data Statistik Dengan Menggunakan Aplikasi SPSS Mahariani, Yeni Roha; Suseno, Pangki; Febriansyah, Muhammad Ikhwan
Mattawang: Jurnal Pengabdian Masyarakat Vol. 4 No. 4 (2023)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.mattawang2252

Abstract

The Industry 4.0 era requires resources equipped with critical thinking, innovative abilities, and the capacity to address complex problems using the latest technology. Education emerges as a crucial factor in meeting Human Resources (HR) needs across various industrial sectors. Therefore, this community service activity focuses on students to enhance insights and competencies that support lectures and research projects. The training places emphasis on utilizing the Statistical Package for the Social Sciences (SPSS) as a statistical testing tool, enabling students to grasp accurate data processing. Activities encompass the introduction of basic statistical concepts, practice in data processing, statistical testing, and both descriptive and comparative analysis. The training offers additional experience, skills, and competencies, fostering participants' interaction with SPSS technology as a statistical analysis tool. Evaluation of the activities indicates a significant improvement in participants' ability to process statistical data using SPSS. AbstrakEra Industri 4.0 menuntut sumber daya yang memiliki kemampuan berpikir kritis, inovatif, dan mampu menyelesaikan masalah kompleks dengan memanfaatkan teknologi terkini. Pendidikan menjadi kunci penting dalam memenuhi kebutuhan Sumber Daya Manusia (SDM) di berbagai sektor industri. Oleh karena itu, kegiatan pengabdian ini difokuskan pada mahasiswa untuk meningkatkan wawasan dan kompetensi yang mendukung perkuliahan serta proyek penelitian. Pelatihan menitikberatkan pada penggunaan Statistical Package for the Social Sciences (SPSS) sebagai alat uji statistik, memungkinkan mahasiswa memahami pengolahan data secara tepat. Kegiatan ini mencakup pengenalan konsep dasar statistika, praktik pengolahan data, uji statistik, analisis deskriptif, asosiatif, dan komparatif. Pelatihan memberikan pengalaman, keterampilan, dan kompetensi tambahan, mendukung interaksi peserta dengan teknologi SPSS sebagai alat analisis statistik. Evaluasi kegiatan menunjukkan peningkatan signifikan dalam kemampuan peserta dalam mengolah data statistik dengan SPSS.
Penerapan Manajemen Strategi Meggunkan Metode SWOT dan QSPM pada Industri Kendang Jimbe UD. Karya Mandiri Abdillah, Moch. Rizki; Mahariani, Yeni Roha
Jurnal Studi Multidisiplin Qomaruna Vol 3 No 1 (2025): December 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Universitas Qomaruddin, Gresik, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62048/qjms.v3i1.109

Abstract

In facing increasingly tight industrial competition, MSMEs are required to implement the right business strategy to maintain their existence and increase their competitiveness. This study aims to apply strategic management to MSMEs of Kendang Jimbe craftsmen UD. Karya Mandiri in Blitar City using the SWOT method and Quantitative Strategic Planning Matrix (QSPM). SWOT analysis is used to identify internal factors in the form of strengths and weaknesses, as well as external factors in the form of opportunities and threats that affect business performance, while QSPM is used to determine priority strategies based on their level of attractiveness. This study uses a quantitative descriptive approach with data collection techniques through observation, interviews, and questionnaires to owners, employees, and consumers of UD. Karya Mandiri. The results of the analysis show that the main strength of this MSME lies in high product quality and good reputation, while its main weakness is the limited digital promotion. Opportunities that can be utilized are the increasing interest of the international market in traditional musical instruments, while threats include fluctuations in raw material prices and competition from similar products. Based on the IFE and EFE matrix analysis, UD. Karya Mandiri's position is in quadrant I in the SWOT diagram, which shows the potential to implement an aggressive strategy through expansion. The priority strategy resulting from the QSPM is export optimization by utilizing product quality, which obtained a Total Attractiveness Score (TAS) of 3.42. This strategy is expected to expand market share while strengthening the Kendang Jimbe brand image in the global market. Academically, this study contributes to the application of strategic management in culture-based MSMEs, as well as offering practical recommendations that can be used as a reference for similar MSMEs in responding to modern market challenges sustainably.
Analisis Kualitas Produksi Batu Bata Dengan Pendekatan Berbasis Diagram Pareto Dan Diagram Fishbone Selviani, Windi; Mahariani, Yeni Roha
Jurnal Studi Multidisiplin Qomaruna Vol 3 No 1 (2025): December 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Universitas Qomaruddin, Gresik, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62048/qjms.v3i1.121

Abstract

Brick production in traditional micro, small, and medium enterprises (MSMEs) often exhibits inconsistent quality. This condition leads to various physical defects in the final products and reduces the proportion of saleable bricks. The main problems identified include broken, burnt, and cracked defects. This study aims to analyze the dominant types of defects, identify their root causes, and formulate practical improvement actions applicable to MSMEs. The research employs a Pareto diagram to determine defect priorities, a fishbone diagram to identify root causes, and the 5W+1H analysis as a systematic tool for developing improvement actions. The Pareto analysis indicates that broken defects are the most dominant, accounting for 42% of total defects, followed by burnt defects at 38% and cracked defects at 20%. The fishbone analysis reveals that defects are primarily caused by unbalanced raw material composition, the absence of firing temperature measuring instruments, and uncontrolled drying processes. The 5W+1H analysis proposes improvement actions, including the use of firing temperature measurement tools, raw material measuring instruments, and the reorganization of the drying process to ensure greater stability and consistency. The study concludes that simple but well-controlled interventions in material mixing, firing, and drying stages can effectively reduce defect rates and improve the overall quality of brick production in MSMEs.
Implementasi Condition Based Maintenance (CBM) Pada Mesin Pasah Kayu Modern Terhadap Peningkatan Kualitas Produk Furniture Di UD Mitra Usaha Ngunut Tulungagung Saputra , Muhammad Rizki Wahyu; Mahariani, Yeni Roha
Jurnal Studi Multidisiplin Qomaruna Vol 3 No 1 (2025): December 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Universitas Qomaruddin, Gresik, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62048/qjms.v3i1.126

Abstract

Small and medium-sized furniture industries rely heavily on the reliability of production machinery to maintain consistent product quality and ensure smooth manufacturing processes. However, maintenance practices in the SME sector are still predominantly reactive, which can increase downtime, reduce product quality, and accelerate component wear. This study aims to analyze the implementation of Condition-Based Maintenance (CBM) on modern wood planing machines at UD Mitra Usaha Ngunut, Tulungagung, through monitoring of temperature, vibration, and noise parameters. A case study approach was employed using observation, interviews, and documentation analysis. The results indicate that CBM implementation significantly extended component service life, as evidenced by an increase in planer blade lifespan from an average of 6 months to 8–9 months (33–50%), carbon brush lifespan by 25–30%, and armature, bearing, and fan belt lifespan by 20–40%, depending on operating conditions. In addition, CBM reduced average operating temperature by 8–12%, decreased vibration intensity by up to 30%, and maintained noise levels within safe limits. CBM implementation was also shown to reduce production downtime by up to 35% and improve maintenance cost efficiency. These findings demonstrate that CBM is effective in enhancing machine reliability and furniture product quality in small and medium-sized industries.
Analisis Pola Transaksi dan Perilaku Pembelian Pelanggan E-Commerce Berdasarkan Karakteristik Demografis dan Waktu Transaksi Yeni Roha Mahariani; Pangki Suseno; Dwi Junianto; Nindya N. A. Brillianio
Jurnal Manajemen Bisnis Era Digital Vol. 3 No. 1 (2026): Februari : Jurnal Manajemen Bisnis Era Digital
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jumabedi.v3i1.1279

Abstract

The rapid growth of e-commerce has intensified the need to understand transaction patterns and customer purchasing behavior as a foundation for strategic decision-making. This study aims to analyze e-commerce transaction patterns and customer purchasing behavior based on demographic characteristics and transaction timing. By utilizing e-commerce transaction data, this research seeks to provide a more comprehensive understanding of customers’ purchasing tendencies and the factors influencing their behavior. This study employs Exploratory Data Analysis (EDA) as the primary method to descriptively explore data characteristics through various statistical visualizations, including histograms, bar charts, line graphs, and boxplots. The analysis conducted to identify transaction trends, the distribution of purchase values, and behavioral differences across demographic groups and specific time periods. The results indicate that e-commerce transaction patterns tend to increase during certain periods, particularly in the latter part of the observation timeframe, suggesting the influence of seasonal factors and promotional strategies. The distribution of transaction values is asymmetric, with most transactions occurring in the low to medium value range, while high-value transactions are conducted by a relatively small proportion of customers. Furthermore, variations in purchasing behavior are observed across demographic groups in terms of transaction frequency and value, despite relatively balanced transaction volumes. The findings confirm that e-commerce customer purchasing behavior is influenced by a combination of temporal factors and demographic characteristics. These results are expected to serve as a basis for e-commerce practitioners in developing more targeted marketing strategies and as a reference for future research in the field of e-commerce data analytics.
A comparative analysis of the accuracy of forecasting methods in predicting strategic food production in East Java Suseno, Pangki; Junianto, Dwi; Mahariani, Yeni Roha
Priviet Social Sciences Journal Vol. 6 No. 2 (2026): February 2026
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/pssj.v6i2.1285

Abstract

Food security is one of the main pillars of sustainable national development, especially in East Java, a region that contributes significantly to the national rice production. However, data from 2016 to 2024 show a downward trend in rice production. This contrasts with the relatively stable consumption demand and poses a risk to future food stability. This study aims to predict future food needs and determine the most accurate forecasting method by comparing the naive method, moving average, single exponential smoothing (SES), and double exponential smoothing (DES) methods. The research data includes annual rice production and consumption volumes in East Java over a nine-year period. We evaluated the forecasting accuracy using the mean absolute deviation (MAD), mean squared error (MSE), and mean absolute percentage error (MAPE). The results of the analysis show that the double exponential smoothing method (with α = 0.9 and β = 0.1) provides the best performance, with the lowest error rate (MAPE) of 1.020%. This value is much more accurate than those of the naive method (6.397%), moving average method (6.359%), and single exponential smoothing method (6.530%), which are less responsive to downward trends in the data. Therefore, the DES method is recommended as the most appropriate forecasting model to assist the government of East Java with strategic planning and food security policies.