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All Journal Jurnal Infomedia JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Ilmiah Wahana Pendidikan Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat J-Intech (Journal of Information and Technology) Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Aurelia: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia JOSAR (Journal of Students Academic Research) Jurnal ELTEK
Mawaddah, Udkhiati
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Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Nursing Public Health Social Sciences Other

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Journal : Jurnal Ilmiah Wahana Pendidikan

 1 
Sistem Peramalan Penentuan Armada Bus Menggunakan Metode Exponential Smoothing Ferdianto, Hendra Ferdianto; Wulansari, Zunita; Mawaddah, Udkhiati
Jurnal Ilmiah Wahana Pendidikan Vol 11 No 5.C (2025): Jurnal Ilmiah Wahana Pendidikan 
Publisher : Peneliti.net

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Abstract

Peramalan juga disebut forecasting adalah upaya untuk menggunakan data sebelumnya untuk memprediksi apa yang akan terjadi pada masa mendatang. Permasalahan yang dihadapi pihak terminal bus kesamben adalah ketersediaan kebutuhan armada bus yang tidak menentu. Hal ini menyebabkan penumpukan penumpang. Pada penelitian ini digunakan Metode peramalan exponential smoothing untuk meramalkan kebutuhan armada bus. Implementasi dalam penelitian ini menggunakan aplikasi rapidminer dengan data armada bus yang digunakan selama 4 tahun dari tahun 2020 hingga 2023. Berdasarkan pengujian yang telah dilakukan menggunakan metode MAPE didapatkan nilai sebesar 15,24%. Diharapkan penelitian ini dapat membantu pihak terminal kesamben dalam memprediksi jumlah armada bus sesuai dengan jumlah penumpang agar pelayanan dapat dilakukan secara optimal.
Segmentasi Konsumen Menggunakan Algoritma K-Means Clustering Dan Analisis Rfm Guna Mengetahui Karakteristik Konsumen Zaenal, Zaenal; Chulkamd, Mukh Taofik; Mawaddah, Udkhiati
Jurnal Ilmiah Wahana Pendidikan Vol 11 No 4.D (2025): Jurnal Ilmiah Wahana Pendidikan 
Publisher : Peneliti.net

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This research aims to segment consumers at MDA Collection stores using the K-Means Clustering algorithm and RFM (Recency, Frequency, Monetary) analysis, with the aim of understanding consumer purchasing characteristics and supporting the development of more effective marketing strategies at MDA Collection stores. The research shows that the K-Means Clustering algorithm is successful in grouping MDA Collection consumers into homogeneous segments based on their purchasing data. Analysis of the characteristics of each segment helps in understanding consumer preferences and purchasing habits. By better understanding consumer characteristics, MDA Collection Stores can design more effective marketing strategies to maintain consumer loyalty. The results of this research show that there are 4 consumer segments with different characteristics. In segment 1 there are 24 consumers who are included in the loyal consumer profile, in segment 2 there are 126 consumers who are included in the less loyal consumer profile, in segment 3 there are 83 consumers who are included in the less loyal consumer profile, and in segment 4 there are 115 consumers who are included in the potential consumer profile.
Co-Authors Abdi Pandu Kusuma Adi Purnama, Candra Alamsyah, Isnan Ridho Chulkamd, Mukh Taofik Chulkamdi, Mukh Taofik Ferdianto, Hendra Ferdianto Hadi Irawan, Zidhan Hartami Santi, Indyah Lathoif, Miftakhul Lestanti, Sri Nugraha Putra, Muhammad Putri Rochfiani Raihan, Muhammad Iqbal Saiful Nur Budiman Santi, Indyah Hartami Santiko, Mohandes Sutanto, Yufi Priyo Wahyuni, Ervika Dewi Wulansari, Zunita Yuana, Haris Zaenal Zaenal, Zaenal Zain Zakaria, Robby Zen, Mohammad Amir Fatkhi