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All Journal JURNAL DERIVAT: JURNAL MATEMATIKA DAN PENDIDIKAN MATEMATIKA AKSIOMA: Jurnal Program Studi Pendidikan Matematika JIPMat (Jurnal Ilmiah Pendidikan Matematika) Union: Jurnal Ilmiah Pendidikan Matematika JMPM: Jurnal Matematika dan Pendidikan Matematika MUST: Journal of Mathematics Education, Science and Technology Formatif: Jurnal Ilmiah Pendidikan MIPA Jurnal Riset Teknologi dan Inovasi Pendidikan (Jartika) Jurnal Pemikiran dan Penelitian Pendidikan Matematika (JP3M) Jurnal Math Educator Nusantara: Wahana Publikasi Karya Tulis Ilmiah di Bidang Pendidikan Matematika SASTRANESIA: Jurnal Program Studi Pendidikan Bahasa dan Sastra Indonesia Jambura Journal of Mathematics JURNAL MATHEMATIC PAEDAGOGIC Transformasi : Jurnal Pendidikan Matematika dan Matematika J-ADIMAS (Jurnal Pengabdian kepada Masyarakat) Square : Journal of Mathematics and Mathematics Education Jurnal Statistika dan Matematika (Statmat) Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Journal of Mathematics Education and Science Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Jurnal Ilmiah Ilmu Terapan Universitas Jambi Journal of Research Applications in Community Services Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Journal of Community Service in Science and Engineering International Journal of Trends in Mathematics Education Research (IJTMER) Trends in Mechanical Engineering Research Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK) Jurnal Pengabdian Kepada Masyarakat (Abdimas) Universitas Baturaja ServeInnovate: Journal of Applied Community Engagement (SJACE) Theta: Journal of Statistics
Himmatul Mursyidah
Universitas Muhammadiyah Banten
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Peningkatan Kapasitas UMKM dan Organisasi Lokal Melalui Edukasi dan Digitalisasi Riris Septiana Sita Dewi; Himmatul Mursyidah; Partono Siswosuharjo; Muhammad Nur Fadillah; Nuraman
ServeInnovate: Journal of Applied Community Engagement (SJACE) Vol. 1 No. 1 (2025): ServeInnovate: Journal of Applied Community Engagement (SJACE)
Publisher : Universitas Muhammadiyah Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67219/x3xm7h52

Abstract

Digitalisasi telah menjadi kunci fundamental dalam meningkatkan daya saing UMKM dan efektivitas organisasi lokal. Namun, pelaku usaha mikro dan komunitas di pedesaan sering menghadapi kendala literasi teknologi, manajemen data, dan dokumentasi digital. Untuk mengatasi tantangan ini, program pengabdian masyarakat di Desa Talok, Kecamatan Kresek, Kabupaten Tangerang, Banten diselenggarakan pada awal tahun 2025 dengan tujuan meningkatkan kapasitas UMKM dan organisasi lokal melalui edukasi dan pendampingan digital. Kegiatan terdiri dari asesmen kebutuhan, pelatihan literasi digital dasar, workshop manajemen digital organisasi, dan pendampingan intensif. Evaluasi pre-post menunjukkan peningkatan kompetensi pada lima aspek utama: penguasaan teknologi dasar, pengelolaan data komunitas, pemahaman sistem informasi, dokumentasi kegiatan, dan komunikasi digital. Temuan ini menegaskan bahwa intervensi edukatif dan implementatif dapat mendorong transformasi digital lokal dan memperkuat struktur UMKM dan organisasi lokal di desa.
Pembuatan Video Animasi oleh Guru-Guru MI Muhammadiyah 09 Labuhan sebagai Solusi Pembelajaran Matematika di Masa Pandemi Covid-19 Mursyidah, Himmatul
Jurnal Pengabdian Kepada Masyarakat (ABDIMAS) Universitas Baturaja Vol. 6 No. 1 (2025): Jurnal Pengabdian Kepada Masyarakat (ABDIMAS) Universitas Baturaja
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/abdimu.v6i1.821

Abstract

Teachers of MI Muhammadiyah 09 Labuhan have problems in the mathematics learning process before and during the Covid-19 pandemic. They are teachers have not used learning media that support online learning, student interest in learning mathematics is low, and mathematics learning outcomes is not optimal. The causes of this problem are teachers often use the assignment method and the media used have not been able to attract students' interest in learning. Therefore, a service program was carried out in a training series on making mathematics learning media i.e. animated videos which included making storylines, creating animated characters, making animated videos, animated characters dubbing, uploading animated videos to YouTube, and implementing them to students. The service program can make teachers more creative in making learning media, they are able to use several computer applications and manage YouTube channels. In addition, students feel happy and interested in the mathematics learning process.
Customer Segmentation of GrabBike Users Based on RFM Analysis Using K-Means Clustering: A Case Study of Engineering Faculty Students Kinanthi Trah Asmaraningtyas; Rafly Priyantama Ramadhan Bagaskara; Rafi Ramadhan Asshiddiqie; Agung Satrio Wicaksono; Syarif Abdullah; Himmatul Mursyidah
Theta: Journal of Statistics Vol 2, No 1 (2026): Available Online in March 2026
Publisher : Faculty of Engineering, Univesitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/tjs.v2i1.39395

Abstract

The development of online transportation services has changed the mobility patterns of society, including among students who have high activity levels. GrabBike, as one of the application-based transportation services, is widely used by students to support their activities. Differences in intensity and usage patterns require a deeper understanding of user behavior through customer segmentation. Therefore, this study aims to segment GrabBike service users among students of the Faculty of Engineering, Sultan Ageng Tirtayasa University, using the RFM model with the application of the K-Means algorithm. This study uses a quantitative survey method with data collection through an online questionnaire (Google Form). The data used is primary data from 86 respondents who are students of the Faculty of Engineering who are GrabBike users. The stages of research include data collection, data preprocessing (cleaning, RFM transformation, and standardization using Standard Scaler), application of the K-Means algorithm, and analysis of segmentation results. The optimal number of clusters was determined using the Elbow and Silhouette methods. The results of the study show that the optimal number of clusters is three. Segmentation using the K-Means algorithm produces three user segments, namely Top Class Users, Ordinary Users, and Low Users. The Top Class Users segment has the highest frequency of use and expenditure, making them potential loyal users. The Ordinary Users segment is the largest segment with moderate usage levels and has the potential to be increased through targeted marketing strategies. Meanwhile, the Low Users segment has low usage levels and requires reactivation strategies. Overall, the K-Means-based RFM approach has proven effective in grouping GrabBike users based on usage behavior and can be used as a basis for formulating more targeted online transportation service marketing strategies.
Program Holistik KELILING Berbasis TOGA untuk Pemberdayaan Lingkungan dan Ekonomi Warga Kampung Cumpat Surabaya Himmatul Mursyidah; Indah Rosidah; Ardiyani Sekarningrum; Tria Amalia; Dharul Jannah
ServeInnovate: Journal of Applied Community Engagement (SJACE) Vol. 1 No. 2 (2026): ServeInnovate: Journal of Applied Community Engagement (SJACE)
Publisher : Universitas Muhammadiyah Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67219/q0f6t585

Abstract

The KELILING holistic program (EduGreen Village Environmental Empowerment Solution) was implemented in Cumpat Village, Kedung Cowek Urban Village, Bulak District, Surabaya City, to address environmental issues caused by limited green spaces and low community capacity in plant cultivation. This community service program aimed to provide education, training, and mentoring on the cultivation and processing of Family Medicinal Plants (Tanaman Obat Keluarga—TOGA) for residents of RT 03, RT 04, and RT 05, RW 02. The methods employed included discussions, training sessions, practical activities, and continuous mentoring. The program resulted in increased community knowledge and skills in cultivating TOGA on limited land through the use of pots and vertical planting systems. A total of 300 TOGA plants were distributed and planted in residents’ home yards. In addition, participants were trained to process TOGA into value-added products, such as herbal drinks and ginger cookies, which have the potential to generate additional household income. The program also encouraged community participation in environmental greening efforts and supported the development of Cumpat Village as a TOGA-based green village. Overall, the program contributed to environmental improvement, community empowerment, and the enhancement of local economic capacity.
Sistem Pendukung Keputusan Berbasis Metode Weighted Product untuk Memprioritaskan Bantuan Rumah Tidak Layak Huni (RTLH) Yudha Sabekti; Himmatul Mursyidah; Syarif Abdullah
Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK) Vol 5 No 1 (2026): Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK)
Publisher : STMIK Amika Soppeng

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70247/jumistik.v5i1.250

Abstract

Seleksi penerima bantuan rumah tidak layak huni seringkali melibatkan banyak kriteria dan sumber daya yang terbatas, sehingga pengambilan keputusan manual rentan terhadap subjektivitas dan inkonsistensi. Untuk mengatasi masalah ini, penelitian ini mengusulkan Sistem Pendukung Keputusan (Decision Support System (DSS)) berbasis web berdasarkan metode Weighted Product (WP) untuk mendukung prioritas penerima bantuan rumah tidak layak huni di tingkat desa. Sistem yang diusulkan mengevaluasi rumah tangga kandidat menggunakan banyak kriteria, termasuk kondisi rumah, usia bangunan, status kepemilikan tanah, pendapatan rumah tangga, dan jumlah tanggungan. Metode WP diterapkan sebagai model pengambilan keputusan multi-kriteria untuk menggabungkan atribut manfaat dan biaya melalui mekanisme perkalian, menghasilkan peringkat prioritas kandidat. Sistem ini diimplementasikan sebagai aplikasi berbasis web untuk memfasilitasi aksesibilitas dan kegunaan bagi pengambil keputusan. Untuk mengevaluasi efektivitas sistem, digunakan desain pre-test dan post-test, dan hasilnya dianalisis menggunakan uji t sampel berpasangan. Hasil menunjukkan bahwa DSS yang diusulkan mampu menghasilkan peringkat prioritas yang jelas dan konsisten serta secara signifikan meningkatkan kinerja pengambilan keputusan pengguna, sebagaimana dibuktikan oleh perbedaan yang signifikan secara statistik antara skor pre-test dan post-test (p < 0,05). Temuan ini menunjukkan bahwa DSS berbasis WP secara efektif mendukung pengambilan keputusan yang terstruktur dan objektif dalam prioritas bantuan rumah. Sistem yang diusulkan memberikan kontribusi praktis terhadap penerapan teknologi pendukung keputusan dalam sistem informasi sektor publik.
Co-Authors A.A. Ketut Agung Cahyawan W Agung Satrio Wicaksono Alfian Firmansyah Andreansyah, Andreansyah Ardiyani Sekarningrum Asep Rahmatullah Asmaraningtyas, Kinanthi Trah Bagaskara, Rafly Priyantama Ramadhan Biantoro, Nanly Ollyvia Putri Hestu Chasanah, Sri Istiyarti Uswatun Chusnal Ainy, Chusnal Dewi Suwaibah Dharul Jannah Ditya, Dara Endang Suprapti Erwin, Erwin Fadillah, Muhammad Nur Fajri Ikhsan Fajri Ikhsan Febriana Kristanti, Febriana Febrianti, Tanti Hayati, Sevi Hayatullah, Alif Huda, Mifathul I Wayan Mangku Iis Holisin Ikhsan Fajri, Ikhsan Ikhsan, Fajri Indah Kurnia Indah Rosidah Jannah, Miftahul Karis, Muhammad Kevin Dion Valen Boy Kinanthi Trah Asmaraningtyas Kurnia Nugraha Kurnia, Ika Kurnia, Indah Lala Anggraini Lelly Octafiana Lusiani, Rina Mahuda, Isnaini Marvel, Marchello Miftahul Huda Miftahul Huda Najia Noor Riyadi Hidayat Nur Isnaini Utami Nuraman Nursafitri, Nadia Eka Octafiana, Lelly Oktafiana, Lelly Partono Siswosuharjo Pertiwi, Dinda Dwi Anugrah R. Panji Hermoyo Rachma Unengan, Ichvita Rafi Ramadhan Asshiddiqie Rafly Priyantama Ramadhan Bagaskara Ramadhan, Dwi Anggara Rani Septiani Sukandar Riris Septiana Sita Dewi Rizqi Fauzi Rusdiana, Rina Sasmi, Maulida Agustin Selina, Novalia Qoiri Putri Shoffan Shoffa Sidik Susilo Siti Inganah Siti Inganah Siti Nahriah Aprianti Sri Istiyarti Uswatun Chasanah Sri Istiyarti Uswatun Chasanah Susilo, Sidik Syarif Abdullah Tria Amalia Ula, Ma'rifatul Ula, Ma'rifatul Ula, Shofiatul Utami, Farida Utami, Nur Isnaini Warni Warni, Warni Wijaya, Ferdian Bangkit Wiyono, Slamet Yudha Sabekti