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All Journal TEKNIK INFORMATIKA Jurnal Simetris Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknologi Informasi dan Ilmu Komputer Proceeding of the Electrical Engineering Computer Science and Informatics Faktor Exacta Indonesian Journal of Artificial Intelligence and Data Mining IKRA-ITH Informatika : Jurnal Komputer dan Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan TIJAB (The International Journal of Applied Business) Jurnal Sisfokom (Sistem Informasi dan Komputer) KACANEGARA Jurnal Pengabdian pada Masyarakat STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Systematics Idealis : Indonesia Journal Information System SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Teknik Informatika (JUTIF) Jurnal Abdimas Sangkabira Jurnal Abdimas Bina Bangsa Kresna: Jurnal Riset dan Pengabdian Masyarakat Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) International Journal of Science and Society (IJSOC) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Prosiding Seminar Nasional Pengabdian Kepada Masyarakat JAMAIKA: Jurnal Abdi Masyarakat NUSANTARA: Jurnal Pengabdian Kepada Masyarakat International Journal on Advanced Technology, Engineering, and Information System (IJATEIS) Journal Of Communication Education Telematika MKOM Artinara Jurnal Ticom: Technology of Information and Communication Jurnal Pengabdian Masyarakat Tekno Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK)
Rusdah Rusdah
Fakultas Teknologi Informasi Universitas Budi Luhur
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SEGMENTASI KATEGORI PRODUK BERDASARKAN RESPONSIVITAS PROMOSI PADA BISNIS FASHION RETAIL MENGGUNAKAN AGGLOMERATIVE HIERARCHICAL CLUSTERING Wahiddin Ishak; Rusdah Rusdah
SKANIKA: Sistem Komputer dan Teknik Informatika Vol 9 No 2 (2026): Jurnal SKANIKA Juli 2026
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/skanika.v9i2.3926

Abstract

Fashion retail companies often repeat identical promotion types without proportional sales gains because no empirical mapping shows which product categories respond to which promotional mechanisms. This study segments product categories by promotional responsiveness using Agglomerative Hierarchical Clustering (AHC) with Ward's Linkage. The data comprise 103.9 million sales transaction rows from 2023 at PT Matahari Department Store, Tbk., which, after cleaning, department-level aggregation, label encoding, and Min-Max normalization, yielded 6,089 records covering 790 departments, 14 promotion names, and six promotion periods specific to the Indonesian market. We determined the optimal number of clusters using the Silhouette Coefficient, Davies-Bouldin Index, and SSE reduction, and cross-validated it against the merge-distance jump in the dendrogram. Ward's Linkage consistently outperformed Average Linkage across all tested values of k, with the best configuration at four clusters (Silhouette 0.474; DBI 0.049). The four clusters exhibit sharply different responsiveness: one cluster of 317 departments contributes 99.11% of promotion-related units sold with a PromoHitRate of 0.986, while another cluster of 316 departments records no promotional sales at all. The near-uniform distribution of promotion types and periods across clusters indicates that the performance gap stems not from exposure bias but from each department's internal effectiveness. These segmentation results provide a basis for more targeted promotional budget allocation and more efficient inventory management.
PREDIKSI PERMINTAAN OBAT MENGGUNAKAN TIME SERIES DAN MACHINE LEARNING UNTUK SISTEM PERINGATAN DINI KETERSEDIAAN OBAT Muhamad Satriadi; Rusdah Rusdah
SKANIKA: Sistem Komputer dan Teknik Informatika Vol 9 No 2 (2026): Jurnal SKANIKA Juli 2026
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/skanika.v9i2.3928

Abstract

Effective pharmaceutical inventory management is crucial for sustaining healthcare services in hospitals. Inaccurate demand planning can lead to stockouts or overstock situations, resulting in budget inefficiencies of 25–40%. This study aims to develop and compare pharmaceutical demand forecasting models and implement the results into the SmartMed application, which integrates Safety Stock, Reorder Point (ROP), and an early warning system at RSUD Kota Bogor. The study employs the Knowledge Discovery in Databases methodology using data from January 2020 to December 2025. The study compared five forecasting methods—ARIMA, Exponential Smoothing, Prophet, Random Forest, and XGBoost—using MAE, RMSE, and MAPE metrics. Evaluation results indicate that Random Forest was the best model for four medication types, XGBoost for three, ARIMA for two, and Exponential Smoothing for one, while Prophet did not emerge as the best model for any. For Amlodipine 10 mg, Random Forest yielded an MAE of 715.94, an RMSE of 845.07, and a MAPE of 6.72% (rated "Very Good"). The best-performing models were subsequently incorporated into SmartMed to support inventory monitoring via Safety Stock, ROP, and the early warning system. This system is expected to help management make proactive decisions about pharmaceutical inventory.
Co-Authors Abdulhakim Madiyoh Achmad Saleh Achmad Solichin Afrianto, Whisnu Febry Ahadti Puspa Sari Ahmad Pudoli Alfad Zebua, Vivid Kristiani Andi Andara Andi Rukmana Anidnya Putri Pradiptha Anindya Sasi Kirana Anita Diana Anubhakti, Dian Ary Maulana Pratama Aryabima, Muhammad Iqbal Bregastantyo, Brian Agni Brury Trya Sartana Budiyoko, Budiyoko David Jefri Aruan Deasy Aprilla Wulandari Deni Mahdiana Devit Setiono Dewi Kusumaningsih Diwi Apriana Dwi Achadiani Dwi Kristanto Dwi Pebrianti Eka Dewi Satriana Elfy Susanti Ernita Rahayu Fauzan, Muhammad Rafi Fildza Izzati Firdhan Happyanda Hari Soetanto Haris Kurniawan Hin, Law Li Humisar Hasugian Ibnu Fallah Rosyadi Ilham Akbar Muharrom Ilyas, Aldrin Nur Imam Halim Mursyidin Indah Puspasari Handayani Indra Nugraha Irawati, Riri Izzati, Fildza Joko Christian Chandra Joko Sutrisno Juliasari, Noni Kardena, Sucinda Kusumaningsih, Dewi Lauw Li Hin Linda Ratna Sari Lis Suryadi, Lis Luhur Bayuaji Lukas Umbu Zogara Lutfi Daniah Mahesworo Langgeng Wicaksono Marimin , Maulana Agung Saputro Mawarni, Ajeng Citra Mehmet Sıtkı ā°lkay Mohammad Syafrullah Muhamad Satriadi Muhamad Sobirin Jamil Muhammad Fauzan Hadi Saputra Muhammad Rifqi Nurul Arifin Subandi Painem, Painem Patlisan, Patlisan Prayoga, Adistiar Pudoli, Ahmad Purwanto Purwanto Putri, Ine Widyaningrum Mustama Raden Rahmad Rafi Naufal AlBasri Rahmat Fajar Rahmawati Alvira Rahmawati, Fadilla Salsabila Raissa, Benita Hasna Ratna Ujiandari Renaldi Setiawan Putra Ridha Mukhtar Ririt Roeswidiah Rizky Pradana, Rizky Rizq Mas Galih Wibisono Roeswidiah, Ririt Rohmad Atkha Ruwirohi, Jan Everhard Setyawan Widyarto Shintya Yulianti Sri Hanafi Sri Wahyuningsih Sri Wahyuningsih Sucinda Kardena Supardi Supardi Susi Widyawati Syarifuddin Abdullah , Andi Tri Annisa Hidayati Triana Anggraini Umiyati, Hesti Wahiddin Ishak Yoshua Alfia Agatha Yulianawati Yulianawati Yulianawati Yulianawati Yuliazmi, Yuliazmi Yuni Kasmawati Zaqi Kurniawan