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Segmentasi Minat Mahasiswa Terhadap Program Studi Menggunakan Algoritma K-Means Clustering Wahyudin, Edi; Dikananda, Fatihanursari
BULLET : Jurnal Multidisiplin Ilmu Vol. 2 No. 1 (2023): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

Segmenting student interest in study programs is a crucial step in strategic decision-making within higher education. By identifying interest groups, institutions can design more relevant curricula and develop more effective marketing strategies. This study aims to cluster student interests in study programs using the K-Means Clustering algorithm. The data used in this research were obtained from questionnaires assessing the interests and preferences of new students towards various study programs. The results of applying the K-Means algorithm indicate that students can be grouped into several clusters based on the similarity of their interests, which can be utilized to support academic policy and program promotion strategies.
PKM: Kewirausahaan Digital Untuk Karang Taruna Desa Kedawung Dikananda, Fatihanursari; Ali, Irfan; Fazari Hidayat, Nizar; Fahreza, Rheznandya
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 3 (2023): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

The The rapid development of digital technology has opened new opportunities in the entrepreneurial field, especially among the youth. This study, titled “Digital Entrepreneurship for the Karang Taruna of Desa Kedawung,” is designed to identify existing digital potentials and to develop an innovative digital entrepreneurship model aimed at empowering Karang Taruna members by generating job opportunities and enhancing the welfare of the local community. The study employs a mixed-method approach by integrating both qualitative and quantitative methods to analyze the barriers, potentials, and optimal strategies in harnessing digital technology as an economic empowerment tool. The research methodology includes field surveys, in-depth interviews with business practitioners and community leaders, and a comprehensive literature review from various relevant sources. The findings indicate that the digital divide and insufficient training are the primary obstacles to effective digital entrepreneurship implementation. In response, an intensive mentoring program combined with digital literacy training emerges as an effective solution to overcome these challenges. This program not only improves technical skills related to digital platforms but also enhances managerial competencies and entrepreneurial creativity. Furthermore, strategic partnerships with industry players and local academics are expected to foster a sustainable business ecosystem. The implications of this research are significant, as it provides a replicable model for digital entrepreneurship development that can be adapted to similar rural contexts. Active involvement from both governmental and private sectors is crucial to support the program’s sustainability through funding, infrastructure development, and market access. Consequently, this study contributes not only to local economic development but also to reducing youth unemployment, raising community welfare, and accelerating digital transformation in rural areas.
Pelatihan Desain Grafis Menggunakan Canva Untuk Promosi Produk Lokal Ali, Irfan; Dikananda, Fatihanursari; Nugraha, Ridho; Ayuningsih, Sri
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 3 (2023): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

The advancement of digital technology provides significant opportunities for micro, small, and medium enterprises (MSMEs) to enhance the competitiveness of local products through engaging visual promotions. This study aims to evaluate the effectiveness of graphic design training using the Canva platform to support the promotion of local products by rural communities. The training program was conducted as part of a community service initiative focusing on improving digital literacy and design skills, especially among housewives and youth from local organizations. The program utilized a participatory approach with stages including observation, training, mentoring, and evaluation. Initial observations indicated that most participants lacked graphic design skills but showed high enthusiasm for learning. The training materials covered the basics of visual design, the use of graphic elements, and hands-on practice in creating posters, product catalogs, and social media content using Canva. Evaluation results showed significant improvement in both technical abilities and creative output among participants. Many were able to produce promotional content suitable for online publication. These findings suggest that accessible online design platforms such as Canva can effectively enhance community capacity in local product promotion. This initiative contributes to the empowerment of the village creative economy and strengthens local product identity through professional and appealing visualization. For sustainability, collaboration with related institutions and the development of local design communities are highly recommended.
ANALISIS SENTIMEN PADA ULASAN ACCESS BY KERETA API INDONESIA DENGAN K-NEAREST NEIGHBOR Rhamadanti, Anisa; Rifa'i, Ahmad; Dikananda, Fatihanursari; Anam, Khaerul
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 1 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i1.3961

Abstract

Abstrak. Access by KAI adalah suatu aplikasi pembelian tiket kereta api indonesiaKAI Access diluncurkan pada 4 September 2014, aplikasi ini mengalami pembaruan pada 10 Agustus 2023 dan diubah namanya menjadi Access by KAI, menjadi versi ke-5 dari PT. Kereta Api Indonesia (PERSERO). Metodologi penelitian melibatkan studi literatur, pengumpulan data melalui teknik web scraping, dan analisis terhadap 3715 ulasan pengguna dari 10 Agustus hingga 10 November 2023. Data tersebut mencatat 555 ulasan positif dan 3160 ulasan negatif, dengan penilaian 1 dan 2 dianggap sebagai negatif, sementara 3, 4, dan 5 dianggap positif. Setelah proses preprocessing, algoritma K-NN diimplementasikan untuk analisis sentimen. Dengan parameter optimal K=17 pada rasio pembagian data uji 90:10, model mencapai tingkat akurasi tinggi dengan presisi 87%, recall 100%, dan f1-score 93%. Pada rasio 80:20 dengan K=9, presisi meningkat menjadi 88%, recall mencapai 99%, namun f1-score tetap 93%. Pada rasio 70:30 dengan K=9, model menunjukkan presisi 87%, recall 99%, dan f1-score 93. Temuan ini diharapkan memberikan wawasan berharga bagi pengembang aplikasi untuk meningkatkan kualitas dan kepuasan pengguna pada platform "Access by KAI." Keywords: analisis sentimen, K-Nearest Neighbors (K-NN), ulasan pengguna, Access by KAI, web scraping