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All Journal JOURNAL OF ELECTRICAL AND SYSTEM CONTROL ENGINEERING JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Penelitian Rumpun Ilmu Teknik Jurnal Penelitian Sistem Informasi Jurnal Pengabdian Masyarakat Journal Of Technology and Information System (J-TIS) JTH: Journal of Technology and Health Jurnal Penelitian Teknologi Informasi dan Sains Venus: Jurnal Publikasi Rumpun Ilmu Teknik Indonesia Bergerak: Jurnal Hasil Kegiatan Pengabdian Masyarakat Router : Jurnal Teknik Informatika dan Terapan Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Router : Jurnal Teknik Informatika dan Terapan
Andreas Ariyanto Rangga
Universitas Stella Maris Sumba
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Health Professions Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences

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Analisis Penjualan Sparepart Motor Matic Mengunakan Algoritma Fp-Growth Dodi Irmanto Tanggela; Andreas Ariyanto Rangga; Karolus Wulla Rato
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 4 (2025): Desember : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i4.717

Abstract

Automatic motorcycle spare part sales have increased along with the high use of automatic two-wheeled vehicles in the community. To support optimal sales strategies and stock management, customer purchasing pattern analysis is required. This study uses the FP-Growth algorithm to identify association patterns between automatic motorcycle spare part products that are frequently purchased together. FP-Growth was chosen because of its ability to efficiently find frequent itemsets without the need to generate candidate itemsets as in the Apriori algorithm. Transaction data is processed to form an FP-Tree which is then extracted to find relationships between items. The analysis results show combinations of products that frequently appear together, such as brake pads and engine oil, which can be used as a basis for compiling sales packages, product placement, and product recommendations. By implementing the FP-Growth algorithm, spare part stores or workshops can improve service and efficiency in sales management.
Sistem Pendukung Keputusan Seleksi Penerimaan Karyawan Baru di Winmart Menggunakan Metode Seleksi Berbasis Web Herlina Baro Lolu; Andreas Ariyanto Rangga; Paulus Mikku Ate
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Vol. 4 No. 2 (2026): Maret: Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/polygon.v4i2.955

Abstract

The selection process for accepting new employees is one of the important stages in a company to ensure that the candidates accepted have qualifications that suit the company's needs. At WINMART, the selection process is still carried out manually, so it is less efficient and prone to errors. Therefore, a system is needed that can assist in more objective and efficient decision making. This Decision Support System (DSS) is designed to assist the selection process for recruiting new employees using the Simple Additive Weighting (SAW) method, which can assess several relevant criteria, such as work experience, education, skills and competency tests. This system was built on a web basis, so it can be easily accessed by parties involved in the selection process, such as HRD and managers. The SAW method was chosen because of its ability to convert various subjective criteria into more objective numerical scores, so that selection results can be more transparent and accountable. By using this system, it is hoped that it can increase efficiency, accuracy and transparency in the new employee selection process at WINMART, as well as facilitate decision making in selecting candidates who best suit the desired criteria.
Co-Authors Agustina Purnami Setiawi Alam, Sitti Nur Alexander Adis Anggriani Eti Bulu Anggrita Loda Artoce Rison Ngongo Astiana Pidi Buka Asy Syifa’a, Fintia Maulid Benediktus Aldolian Putra Benyamin Baro Bulu Bernardino Stefen Goro Damar Suryo Sasono Desi Yanti Kallu Pare Dian Fransiska Ledi Diana Reby Sabawaly Diana Renda Dodi Irmanto Tanggela Dominikus S Bani Edowai, Yermias Emerensiana Dappa Ege Emirensiana D Ege Emirensiana Dappa Ege Febriani Lolo Keke Felysitas Ema O Sanga Felysitas Ema Ose Sanga Fintia Maulid Asy Syifa’a Herlina Baro Lolu Herlina Yasinta Duki Karolus Wulla Rato Katarina Yunita Riti Lende, Marlince Lidia Ambu Kaka Lidia Lali Momo Malo Ngongo, Martinus Maramba Jawa, Antar Maria Novani Ngailo Maria Wilda Malo Muhammad Riandi Widiyantoro Neno, Friden Elefri Ningsiana Dappa Paulus Mikku Ate Permata Ayu, Mitra Roslin Roiki Woda Sari Kaka, Roswita Sitti Nur Alam Sovia Umbu Stefani Natalia Kaka Daha Suryo Sasono, Damar Susila Mete Waingu Bella, Anita Wilhelmina Rita Malo Yermias Edowai Yunike Wolla Gollu Yunita Ngongo