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All Journal JURNAL ILMIAH INFORMATIKA Computer Based Information System Journal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Jurnal Teknologi Sondir Jurnal Teknik Informatika (JUTIF) Majalah Ilmiah UPI YPTK Journal of Computer Scine and Information Technology Jurnal Ipteks Terapan : research of applied science and education Jurnal Pustaka Mitra : Pusat Akses Kajian Mengabdi Terhadap Masyarakat Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer J-COSCIS : Journal of Computer Science Community Service Jurnal Komtekinfo Jurnal Pengabdian Masyarakat Dharma Andalas Innovative: Journal Of Social Science Research Jurnal Teknologi JURNAL KARYA ILMIAH MULTIDISIPLIN Journal of Innovative and Creativity Alamtana Methods in Science and Technology Studies
Devia Kartika
Universitas Putra Indonesia YPTK Padang, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Journal : methods in science and technology studies

 1 
Medical Product Sales Forecasting for Business Optimization Using Double Exponential Smoothing Salsa Fitiansyah; Sumijan; Devia Kartika
Methods in Science and Technology Studies Vol. 1 No. 1 (2025): June
Publisher : PT. Teknologi Futuristik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64539/msts.v1i1.2025.24

Abstract

Accurate sales forecasting plays a critical role in inventory management, particularly for medical equipment companies where stock availability directly affects operational efficiency and customer service. However, many small and medium-scale distributors still lack reliable forecasting systems, resulting in overstocking, high storage costs, or stockouts that lead to missed sales opportunities. Addressing this gap, this study aims to develop a web-based sales prediction system for PT Etiqa Prima Utama—a medical equipment distributor in Padang, West Sumatra—by applying the Double Exponential Smoothing method. The system was designed using PHP and MySQL to generate monthly sales forecasts for various medical products based on historical data. Key findings show diverse forecast accuracy across 20 product categories. The Glucose HK product achieved the lowest MAPE value at 10%, indicating excellent predictive performance, while the Clean Chem product showed the highest MAPE at 54%. Several other products, such as Total Bilirubin (12%), Urea (10%), and Diluent 20L (14%), demonstrated favorable accuracy with MAPE values below 60%. These results imply that Double Exponential Smoothing can support inventory optimization by providing reasonably accurate forecasts for most products, enabling better stock planning and more informed decision-making within the company.
A SAW-Based Multi-Criteria Approach for Selecting Strategic Café Branch Locations Asih Anggina; Shary Armonitha Lusinia; Devia Kartika
Methods in Science and Technology Studies Vol. 1 No. 1 (2025): June
Publisher : PT. Teknologi Futuristik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64539/msts.v1i1.2025.352

Abstract

The rapid development of information technology and artificial intelligence has increased the importance of data-driven decision-making, particularly in competitive industries such as cafés, where branch location significantly affects business success. However, selecting the optimal location remains a challenge due to the variability of local market conditions and the subjectivity of manual assessments, representing a gap in practical, objective evaluation methods. This study aims to determine the most suitable location for Anomali Café’s new branch in Padang City using the Simple Additive Weighting (SAW) method, a transparent and effective multi-criteria decision-making approach. The analysis of ten candidate sites reveals that Pantai Air Manis Street achieves the highest overall score, followed closely by Sitebal, Gajah Mada, Raya Lubuk Buaya, and Dr. Sutomo Streets, while the remaining locations are less competitive. These findings provide actionable, data-driven guidance for strategic branch expansion and demonstrate the applicability of SAW in tailoring location decisions to the café industry’s specific context.
Co-Authors Abdul Rahman Anshar Arsyah, Ulya Ilhami Asih Anggina Ayu Mahessya, Raja Dodi Guswandi Efendi, Gustiawan Erdisna Febri Hadi Firna Yenila Gema, Rima Liana Gustiawan Efendi Harma, Wahri Hoka Muhgrah Sandawa Husna Arsyah, Rahmatul Indah Kusuma Dewi, Indah Kusuma Indra Ginantaka Kurnia, Hezy Larissa Naviarani Lusinia, Shary Armonitha M.Hafizh Megi Gustinal Muhammad Reza Putra Mutiana Pratiwi Nasution, Annio Indah Lestari Rita Rudi Nanda Pratama Salsa Fitiansyah Sandawa, Hoka Muhgrah Sarjon Defit Shary Lusinia Silky Safira Sovia, Rini Sri Rahmawati Sumijan Surmayanti, Surmayanti Wifra Safitri