Tampubolon, Farah Nabilah
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Wolfram Alpha based-inventory model for damaged items of pharmaceutics by utilizing exponential demand rate Indrawati, Indrawati; Puspita, Fitri Maya; Supadi, Siti Suzlin; Yuliza, Evi; Tampubolon, Farah Nabilah
Indonesian Journal of Electrical Engineering and Computer Science Vol 39, No 2: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v39.i2.pp1145-1154

Abstract

In this study, an inventory model is developed for pharmaceutical products that deteriorate over time with an exponential demand rate. The discussion of exponential demand is rarely explored but has the advantage that the demand value toward total cost remains positive. This study assumes allowable shortages and complete backlogging, making it necessary to design an optimal policy for deteriorating goods with an exponential demand rate. The model shows that the initial stock decreases over time, potentially leading to shortages before the next order arrives. The optimal solution indicates that the inventory reaches the zero point at ????1 = 0.0000011 and the cycle length ????1 = 0.012 resulting in an average minimum total cost of ????????̅̅̅̅ = $17,133.9 per cycle by Wolfram Alpha. Sensitivity analysis measures the changes of the results in the increasing value of ????????̅̅̅̅ for all parameters. Exponential function variables (???? and ????) produces ????1 and ????1 stable values. On increasing the cost of each damage (????????) and constant damage rate (????) produces a ????1 stable value, but the value of ????1 increases. An increase in storage costs (h) results in a decrease in the value of ????1 and ????1. Increasing in the cost of shortages (s) resulted in an increase in the value of ????1 and a decrease in the value of ????1.
Validity of a computational thinking and artificial intelligence-based electronic student worksheet in the context of deforestation Tampubolon, Farah Nabilah; Hapizah, Hapizah; Meryansumayeka, Meryansumayeka
Jurnal Gantang Vol 11 No 1 (2026): Jurnal Gantang
Publisher : Universitas Maritim Raja Ali Haji

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31629/jg.v11i1.7914

Abstract

Indonesian students’ mathematical literacy remains below the OECD average, with international assessments indicating persistent difficulty in translating contextual problems into systematic mathematical reasoning, a gap that Computational Thinking (CT) is theorized to help close. This study examines the validity of a Computational Thinking-based electronic student worksheet (E-LKPD), supported by Artificial Intelligence (AI), in the context of deforestation on the topic of Linear Equation System in Two Variables (SPLDV). The research addresses the need for valid learning tools that strengthen students’ mathematical problem-solving skills while promoting environmental awareness, examining how CT skills and environmental issues can be meaningfully integrated, with AI assisting the algorithmic stage of CT through automated feedback, solution-strategy hints, and adaptive task difficulty. The method used is design research with a development studies approach, focusing on preliminary research and prototyping. Validation involved expert review by subject-matter, media, and education experts, together with one-to-one student evaluations, to assess content, construct, language, and visual aspects. Results show that the CT-based E-LKPD with AI support meets the established validity criteria for content accuracy, presentation, and media quality. The developed E-LKPD is thus feasible for use as a learning tool integrating computational thinking, artificial intelligence, and environmental awareness.