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All Journal Journal of Mathematical and Fundamental Sciences Zero : Jurnal Sains, Matematika, dan Terapan Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam Vygotsky: Jurnal Pendidikan Matematika dan Matematika Jurnal Eurekamatika Basis : Jurnal Ilmiah Matematika Al-Aqlu : Jurnal Matematika, Teknik dan Sains Indonesian Journal of Applied Mathematics Journal of Actuarial, Finance, and Risk Managment TeknoKreatif: Jurnal Pengabdian kepada Masyarakat Indonesian Journal of Applied Mathematics and Statistics
Rifky Fauzi
Program Studi Matematika, Jurusan Sains, Institut Teknologi Sumatera
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Mathematics Physics Public Health Other

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Raw Material Inventory Control Using The Period Order Quantity (POQ) Method to Reduce Stockout and Overstock Risks Nasution, Achmad Suryadi; Simbolon, Okto Bryan; Muliawati, Triyana; Edriani, Tiara Shofi; Noor, Dear Michiko Mutiara; Fauzi, Rifky
Vygotsky: Jurnal Pendidikan Matematika dan Matematika Vol. 7 No. 2 (2025): Vygotsky: Jurnal Pendidikan Matematika dan Matematika
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/voj.v7i2.1163

Abstract

The rapid growth of coffee shops in Lampung has increased demand for Robusta Lampung, Arabica Kerinci, and Arabica Aceh Gayo, causing stockouts and overstocking at a coffee roastery. This study uses the Period Order Quantity (POQ) method to optimize inventory by ordering based on predictable demand periods, reducing order frequency and costs. Using demand data from the last six months of the year, POQ outperforms the manual inventory policy. Assuming a 5% holding cost and 90%–99% service levels (ensuring product availability), POQ reduces costs by 0.119%–0.163%, boosting profitability. Adopting POQ with real-time demand tracking can balance inventory and meet rising demand.
Data-Efficient LSTM Modeling for Climate-based Dengue Early Warning in Lampung, Indonesia Fauzi, Rifky; Sinaga, Mia Syntia Br; Rizka, Nela; Noor, Dear Michiko Mutiara; Pribadi, Aswan Anggun; Edriani, Tiara Shofi
ZERO: Jurnal Sains, Matematika dan Terapan Vol 9, No 2 (2025): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v9i2.26192

Abstract

We present a data-efficient recurrent framework for climate-informed dengue early warning in Lampung Province. Monthly incidence and climate records are transformed into supervised sequences with 2–3-month lags, consistent with the observed lead–lag structure. Three architectures i.e. single-layer LSTM, stacked LSTM, and Temporal-Attention LSTM (TA-LSTM) are tuned via a compact genetic search under a time-ordered split. Performance improves with longer history; the TA-LSTM (37 units) attains the best accuracy. Permutation feature importance reveals a clear hierarchy: relative humidity and maximum temperature dominate, autoregressive incidence contributes moderately, while rainfall, sunshine, and minimum temperature are secondary; average temperature is largely redundant. The findings indicate that adding meaningful historical context and selective temporal weighting yields robust early-warning capability from coarse, time-limited data, and that humidity–temperature dynamics, together with short-term incidence persistence, are the principal drivers in this provincial setting.
Co-Authors Achmad Suryadi Nasution Ahmad Dzaki Putra Dimas Akhdan Aziz Ghozi Aliffia, Arsy Alkautsar, Muhammad Ammar Ayu Aprianti Dani Al Mahkya Dear Michiko Mutiara Noor Diana, Ulfa Dwi Mahrani Edriani, Tiara Shofi Edriani, Tiara Shofi Edwin Setiawan Nugraha Edy Soewono Faiqoh, Maya Himmah Fitri, Adilla Anisa Gres Maretta, Gres Hanif, Muhammad Abi Listriani, Amalia Lovena Louisa Mufidah, Zunanik Muliawati, Triyana Noor, Dear Michiko Mutiara Noor, Dear Michiko Mutiara Pribadi, Aswan Anggun Pribadi, Aswan Anggun Riska Agustina Rizka, Nela Rizka, Nela Saefudin Saefudin Sari, Putri Simbolon, Okto Bryan Sinaga, Mia Syntia Br Siringo ringo, Ivan Daniel Sri Haryani Styaningrum, Amalia Tiara Shofi Edriani Utami, Riani Utriweni Mukhaiyar Yenci Brika Enkekes