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All Journal International Journal Of Science, Technology & Management (IJSTM) International Journal of Educational Research and Social Sciences (IJERSC) J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat)
Fauziyah Laili, Ummiy
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K-Means Clustering Method On Academic Advising Management And Early Detection Of Student Dropout (Sequential Explanatory Mixed Method Study At UIN Sunan Ampel Surabaya And IAIN Kediri) Fauziyah Laili, Ummiy; Tanzeh, Ahmad; Efendi, Nur; Gufron, Moch
International Journal of Educational Research & Social Sciences Vol. 5 No. 2 (2024): April 2024 ( Indonesia - Kenya - Libya )
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijersc.v5i2.744

Abstract

In this millennial era, education is a need that must be prioritized. It can be seen from the progress in the field of education in Indonesia. Its development is increasingly showing rapid significance. But the irony is that the rapid development of education is also not free from various kinds of severe and diverse challenges and fierce competition at the regional and national levels. One crucial problem that illustrates the success and failure that often occurs in higher education is dropout. The student dropout rate is often associated with public interest in higher education, public interest often concludes that if the dropout rate is high then the quality of the campus can be said to be low, conversely if the student dropout rate is low then the quality of the campus is high. Research was conducted to find the application of the k-means clustering method in early detection of potential student dropouts using the k-means data meaning algorithm. The approach in this research is mixed methods research explanatory design model, where researchers conduct quantitative research with manova analysis and followed by qualitative research, the data used in quantitative methods are used to map students with the highest dropout potential to the lowest dropout potential using k-means clustering data analysis, while qualitative research uses a data base.The results of research on data analysis of mapping students who are potential dropouts resulting from k-means clustering data analysis for IAIN Kediri obtained 10 clusters with a silhouette coefficient value of 0.790 and 3 clusters with a silhouette coefficient value of 0.770. While at UIN Sunan Ampel Surabaya, 8 clusters were obtained with a silhouette coefficient value of 0.840 and 5 clusters with a silhouette coefficient value of 0.820. Based on the silhouette coefficient value data both at IAIN Kediri and UIN Sunan Ampel which is between 0.7 < SC ≤ 1, it is concluded that the cluster model obtained has a strong structure. The effect of k-means clustering method on academic advising management is explained from the results of MANOVA analysis for student data of UIN Sunan Ampel Surabaya shows there is a significant difference between k-means clustering method on academic advising management at UIN Sunan Ampel Surabaya with the value of F(469.179) = 8, p = 0.000., and there is a significant effect between k-means clustering method on academic advising management at IAIN Kediri with the value of F(244.8227) = 10, p = 0.000.While the effect of the k-means clustering method on early detection of student dropout is explained from the results of Manova analysis for data from UIN Sunan Ampel Surabaya which shows a significant influence between the k-means clustering method on early detection of student dropout at UIN Sunan Ampel Surabaya with a value of F (1,272,286) = 8, p 0. 000 there is a significant influence between the k-means clustering method on early detection of student dropout at IAIN Kediri. the results of qualitative data analysis are presented in 4 major sections, namely regarding the management of academic advising in planning, organizing, implementing and supervising academic advising in dropout prevention efforts at UIN Sunan Ampel Surabaya and IAIN Kediri.
Organizing Institutions To Improve The Performance Of GTK (Teachers And Educational Staff) (Multisite Study At MAN 1 Kota Kediri And MAN 2 Tulungagung) Bahru Isnaini, Yauma; Tanzeh, Ahmad; Fauziyah Laili, Ummiy
International Journal of Science, Technology & Management Vol. 6 No. 1 (2025): January 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i1.1266

Abstract

This research is motivated by the phenomenon of organizing madrasa institutions aimed at improving the performance of GTK. This research uses a qualitative approach with a multisite design, data collection techniques through in-depth interviews, participant observation, and documentation, as well as cross-site analysis. The research results show that: (1) The organization structure is developed through the internalization of the vision and mission, division of labor, work grouping, line of authority, span of control, centralization, decentralization, and formalization. (2) Job division improves GTK performance through task identification, employee placement according to educational qualifications, and workload according to standard regulations. (3) Delegation of authority is carried out through task identification, assessment of GTK competencies, granting of power, and responsibility. (4) Cooperative relationships are enhanced through good communication, collaboration, trust, and team cohesion in the madrasa. The validity of the data is tested through credibility, transferability, dependability, and confirmability tests. Thus, this research provides an in-depth understanding of how organizational structure, division of labor, delegation of authority, and cooperative relationships can enhance the performance.
Pendampingan Kelompok UMKM Keripik Tradisional dalam Upaya Peningkatan Daya Saing Produk Usaha Lokal Indrioko, Erwin; Umatin, Choiru; Fauziyah Laili, Ummiy; Nasichin Al Muiz, Mochamad
J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Vol. 9 No. 1 (2025): April 2025
Publisher : IKIP PGRI Bojonegoro

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Abstract

Sukosewu Village has great economic potential in the Micro, Small and Medium Enterprises (MSMEs) sector, one of which is a group of traditional chips artisans who produce a variety of chips from local raw materials, such as Lompong, Eggplant, Bitter Gourd, Taro, Ontong (Banana heart), Gadung, Cassava, Yam, Eel, Spinach, Kenikir, Mushroom, Green Bean and Gambas and others. However, traditional chip MSMEs in the village face obstacles in developing their businesses such as limited knowledge and skills of group members in business management, product marketing, and attractive and hygienic packaging. This condition makes local chip products still unable to compete with similar products from other regions. This community service aims to provide assistance in the form of product packaging training and e-commerce socialization to traditional chip MSME groups in improving the competitiveness of their local products using the Asset Based Community Development (ABCD) approach. The ABCD method was chosen because it focuses on the potential and strengths that the community already has to be developed, not on the shortcomings that need to be corrected. The mentoring program was implemented through several stages: 1) community asset mapping, 2) group capacity building, 3) marketing strategy development, and 4) ongoing evaluation. The results of the service showed a significant improvement in several aspects: more standardized production capabilities, more attractive product packaging, and expansion of marketing networks, and increased sales turnover. The MSME players also showed increased confidence in managing and developing their businesses. This program proves that an asset-based approach is effective in empowering MSME communities to optimize their potential to increase the competitiveness of local products in the wider market..
Co-Authors Ahmad Tanzeh Bahru Isnaini, Yauma Erwin Indrioko, Erwin Moch Gufron Nasichin Al Muiz, Mochamad NUR EFENDI Siti Rumilah Tanzeh, Ahmad Umatin, Choiru