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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Journal Of Management Science (JMAS) International Journal of Applied Finance and Business Studies DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Jurnal Pengabdian Pada Masyarakat METHABDI Jurnal Pengabdian Masyarakat
Selfira, Selfira
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Religion Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Medicine & Pharmacology Physics Public Health Social Sciences Other

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The urgency of financial literacy and inclusion in managing finances of STMIK Kaputama students Selfira, Selfira
International Journal of Applied Finance and Business Studies Vol. 13 No. 1 (2025): June: Applied Finance and Business Studies
Publisher : Trigin Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijafibs.v13i1.346

Abstract

This research investigates the impact of financial inclusion and financial literacy on financial management through the Structural Equation Modeling Partial Least Squares (SEM-PLS) method. The analysis involved evaluating the reliability, validity, and structure of the model. Results from the reliability tests indicated that all constructs fulfilled the necessary criteria, with composite reliability values surpassing 0.84 and Cronbach’s alpha confirming sufficient internal consistency. Convergent validity was supported by AVE values exceeding 0.65, while discriminant validity yielded mixed outcomes. The Fornell-Larcker Criterion revealed a potential overlap between financial inclusion and financial literacy constructs. The path coefficient analysis demonstrated that financial inclusion had a significant and positive influence on financial management (β = 0.394, p = 0.017), whereas financial literacy did not produce a statistically significant effect (β = 0.083, p = 0.561). These results imply that access to financial services has a more immediate impact on effective financial management than financial knowledge alone. The study emphasizes the importance of practically applying financial literacy to strengthen its effectiveness.
Integrating K-Means Clustering and Apriori for Data Mining-Based Digital Marketing Strategy For Increasing UMKM: Study Case Stabat City Maulidya, Adek Maulidya; Selfira, Selfira; Sidabutar, Gomgom; Al Hafiz, Reyva Ryo
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 4 (2025): Articles Research October 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i4.15299

Abstract

Micro, Small, and Medium Enterprises (MSMEs)  or UMKM in Bahasa are play a crucial role in regional economic development, yet they often face challenges in designing effective marketing strategies due to limited access to advanced analytical tools. Digital marketing supported by data mining offers a solution to this problem by enabling more precise customer segmentation and product bundling recommendations. This study aims to integrate K-Means clustering and Apriori association rule mining to develop data-driven marketing strategies for MSMEs in Stabat City, Indonesia, with a specific focus on rice sales data. A dataset consisting of 1,000 rice sales transactions was processed through a multi-stage methodology, including data preprocessing, clustering, and association rule generation. The Elbow and Silhouette methods suggested an optimal cluster number of k = 3, resulting in three distinct customer groups: (1) loyal high-value buyers, (2) price-sensitive buyers, and (3) premium-oriented buyers. Descriptive statistics highlighted differences in average transaction values, purchase frequency, and brand preferences across clusters. Apriori analysis produced the top ten significant association rules, such as {Medium Rice} → {Pandan Wangi Rice} with support = 0.14, confidence = 0.68, and lift = 1.23. Promotional simulations showed that generic discount campaigns could increase sales by approximately 3.0%, whereas targeted bundling strategies yielded smaller short-term gains (+1.53%) but offered stronger long-term potential, particularly for premium-oriented clusters. These findings are consistent with prior international studies, where customer segmentation combined with market basket analysis has proven effective for enhancing digital marketing outcomes. The study concludes that integrating clustering and association rules can provide MSMEs with actionable insights to optimize promotional strategies and improve competitiveness. However, limitations remain, including the relatively small dataset, reliance on manual parameter selection, and simplified modeling assumptions. Future research should expand to multi-sector datasets and explore advanced algorithms to validate and extend these findings.
PELATIHAN PEMASARAN DALAM MEMANFAATKAN SOSIAL MEDIA PADA UMKM DI KELURAHAN SUMPANG MINANGAE Yusuf, Rara Nur’Alizah; Rentah, Anelya Haris; Imelda, Imelda; Selfira, Selfira; Darmawansah, Darmawansah; Ilahi, Andi Alfianto Anugrah
BESIRU : Jurnal Pengabdian Masyarakat Vol. 1 No. 12 (2024): BESIRU : Jurnal Pengabdian Masyarakat, Desember 2024
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/kc80sy72

Abstract

Tujuan dari tugas Pelatihan Pemasaran dalam Memanfaatkan Sosial Media Pada Pengusaha UMKM Kelurahan sumpang Minangae adalah salah satu tugas (PKM) “Pengabdian Kepada Masyarakat”. (PKM) “Pengabdian Kepada Masyarakat’ adalah saalah satu bentuk representasi dari Tri Dharma perguruan tinggi, yang di antaranya yakni: Pendidikan, Penelitian dan Pengabdian. PKM ialah bagaimana cara agar untuk berbaur terhadap kepada masyarakat dengan mengetahui problematika yang ada dalam lingkungan masyarakat. Permasalahan yang akan di bahas ialah perkembangan perekonomian serta memberdayakan sumber daya alam maupun sumber daya manusia dengan memanfaatkan sosial media. Penerapan yang digunakan adalah kualitatif, metode  kualitatif berarti menggambarkan dan menjabarkan peristiwa, fenomen, dan situasi sosial yang diteliti, yang kemudian akan di jabarkan melalui power point dengan menampilkan tata cara ataupun point – point pembahasan yang akan di paparkan kepada audiensi. Haesil ini akan di jadikan sebagai bahan persentase yang akan di bahas untuk mengembangkan hasil (PKM) “Pengabdian Kepada Masyarakat”
The potential and perception of sawah lukis ecotourism Selfira, Selfira; Prahmana, I Gusti
Junal Ilmu Manajemen Vol 7 No 2 (2024): April: Management Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jmas.v7i2.482

Abstract

The aim of this research is to determine public perceptions and the potential that exists in Sawah Lukis ecotourism. The population of the research is the local community. The research sample used Purposive Random Sampling technique with a total of 55 people. Data collection methods are carried out in several ways, namely observation, in-depth interviews, and questionnaires. The data was then analyzed using qualitative descriptive analysis methods. Based on the results of observations and interviews, Sawah Lukis ecotourism actually has economic value and the potential for further development. For the sustainability of the existence of ecotourism, institutional-based promotional activities and collaboration are needed to improve the quality of promotion.
PENGCLUSTERAN JENIS USAHA UKM BERDASARKAN PROGRAM BANTUAN DI KOTA BINJAI MENGGUNAKAN ALGORITMA K-MEANS Azizah, Siti Nur; Buaton, Relita; Selfira, Selfira
DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Vol 6, No 2: DESEMBER 2025
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/device.v6i2.7277

Abstract

Penelitian ini bertujuan untuk mengelompokkan jenis usaha UKM berdasarkan program bantuan yang diterima di Kota Binjai menggunakan algoritma K-Means. Permasalahan distribusi bantuan yang belum tepat sasaran dan tidak merata mendorong perlunya pemetaan berbasis data. Metode yang digunakan adalah algoritma K-Means yang diimplementasikan dengan MATLAB R2014a, dengan variabel domisili kecamatan, jenis usaha, dan jenis bantuan. Pengujian dilakukan dengan jumlah cluster 3 hingga 6 untuk menentukan model paling optimal. Hasil terbaik diperoleh pada model 6 cluster dengan nilai cluster variance terendah sebesar 0,7759, menunjukkan distribusi data yang paling kompak. Masing-masing cluster memiliki karakteristik berbeda yang merepresentasikan kebutuhan spesifik UKM di tiap wilayah. Dengan pendekatan ini, strategi penyaluran bantuan dapat dilakukan secara lebih objektif, efisien, dan sesuai kebutuhan. Penelitian ini diharapkan menjadi acuan dalam pengambilan keputusan berbasis data oleh pemerintah daerah dalam mendukung pemerataan ekonomi di Kota Binjai.
Pelatihan Pembuatan Eco Enzym bagi Mahasiswa Baru STMIK Kaputama TA. 2024-2025 Sebagai Bentuk Kepedulian Kampus pada Pelestarian Lingkungan Arliana, Lina; Maulita, Yani; Fauzi, Ahmad; Novriyenni, Novriyenni; Sihombing, Anton; Ambarita, Indah; Simanjuntak, Magdalena; Syahputra, Siswan; Khair, Husnul; Pramana, I Gusti; Annatasia, Kristina; Puspadini, Ratih; Selfira, Selfira; Sitompul, Melda Pita Uli; Khadafi, Muammar
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 5 No 1 (2025): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

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

Abstract

The growing volume of household organic waste poses a serious challenge to environmental sustainability. Through this community service program, STMIK Kaputama offers an educational and practical solution by involving first-year students in Eco Enzyme production training. Eco Enzyme, a fermented product derived from organic kitchen waste, has been proven to provide various benefits such as an eco-friendly cleaner, liquid fertilizer, and natural deodorizer, serving as an effective alternative to harmful chemical-based products. During the student orientation program (PKKMB), 300 students participated in a series of activities, including environmental education, fermentation practice, and harvesting of Eco Enzyme. The results demonstrated improvements in students’ knowledge and skills, with the expectation of long-term behavioral changes in managing waste at its source. The program successfully produced more than 300 liters of Eco Enzyme and significantly reduced organic waste disposal to landfills. More importantly, it cultivated environmentally conscious student leaders. Engaging first-year students in this real-world initiative serves as a strategic effort to instill sustainability values and foster a culture of environmental responsibility both within the campus and the broader community.
Co-Authors Al Hafiz, Reyva Ryo Ambarita, Indah Annatasia, Kristina Arliana, Lina Buaton, Relita Darmawansah, Darmawansah Fauzi Ahmad Muda Ilahi, Andi Alfianto Anugrah Khair, Husnul Maulidya, Adek Maulidya Melda Pita Uli Sitompul Muammar Khadafi Novriyenni, Novriyenni Prahmana, I Gusti Pramana, I Gusti Ratih Puspadini Rentah, Anelya Haris Sidabutar, Gomgom Sihombing, Anton Simanjuntak, Magdalena Siti Nur Azizah, Siti Nur Syahputra, Siswan Yani Maulita Yusuf, Rara Nur’Alizah