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All Journal Rekayasa Sipil Journal of Mathematical and Fundamental Sciences Jurnal SOLMA 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 Civil Engineering, Building, Construction & Architecture 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.
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.
Smart Money for Smart Students: Pelatihan Literasi Keuangan melalui Pengelolaan Uang Jajan dan Pembiasaan Menabung bagi Siswa SMPN 3 Jati Agung Febrianti, Werry; Fauzi, Rifky; Nasution, Achmad Suryadi; Noor, Dear Michiko Mutiara; Mardianto, Lutfi; Mustika, Mira; Rizka, Nela
Jurnal SOLMA Vol. 15 No. 1 (2026)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v15i1.21579

Abstract

Background: Financial literacy is an essential skill for young people; however, national reports indicate that Indonesian adolescents' financial literacy remains low, particularly in managing their daily allowance and controlling expenditures. This program aims to enhance basic financial literacy by training in pocket money management and developing regular saving habits. Methods: The community service activity was conducted over two visits. The first visit focused on training students to save and manage their allowance, accompanied by the distribution of character-themed piggy banks and financial logbooks. During the second visit, the team conducted a 30-day savings evaluation and reviewed students’ allowance management recorded in their logbooks. Results: The results show improved students’ understanding, as reflected in higher post-test scores. Furthermore, the one-month saving trends also showed increases in students’ balances, with varying patterns. Conclusions: These findings indicate the effectiveness of character piggy banks and logbook-based allowance management in fostering consistent saving habits among students.
Comparative Assessment of Empirical Methods for Bored Pile Capacity Prediction Against Static Load Test Data in Indonesia Rahmat kurniawan; Chindy Akila; Rifky Fauzi; Ayu Sinta Aprilia; Yunita Asni; Ahmad Auliadi Y
Rekayasa Sipil Vol. 20 No. 2 (2026): Rekayasa Sipil Vol. 20 No. 2
Publisher : Department of Civil Engineering, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.rekayasasipil.2026.020.02.11

Abstract

Accurate estimation of the bearing capacity of bored-pile foundations is essential to ensure both the safety and cost-effectiveness of foundation design. However, empirical design formulas are derived from simplified assumptions and may not fully represent actual soil–pile behavior in the field, leading to overestimation or underestimation of capacity if their performance is not carefully evaluated. This study compares the predictive performance of three SPT-based empirical methods—Meyerhof (1976), Reese & Wright (1977), and O’Neill & Reese (1999)—against Static Load Test (SLT) results interpreted using the Davisson, Chin, and Mazurkiewicz methods. A database of 10 bored-pile projects from various regions across Indonesia was analyzed. Given the limited sample size (n = 10), all findings are presented as preliminary evidence rather than definitive conclusions, and statistical estimates carry substantial uncertainty that should inform interpretation. Statistical evaluation employed correlation analysis (r, R²), bias factor (?), coefficient of variation (COV), and mean absolute percentage error (MAPE). Results indicate that the O’Neill & Reese method demonstrates the strongest correlation with Davisson-interpreted SLT results (R² = 0.853), while the Meyerhof method yields a mean bias factor closest to unity (? = 1.00). A performance ranking matrix is informed by concepts commonly adopted in LRFD calibration studies. These results indicate that differences in predictive performance reflect how each empirical formulation represents field behavior and suggest differentiated use of methods depending on the design stage. However, recommendations require validation against larger databases before widespread adoption.
Co-Authors Achmad Suryadi Nasution Ahmad Auliadi Y Ahmad Dzaki Putra Dimas Akhdan Aziz Ghozi Aliffia, Arsy Alkautsar, Muhammad Ammar Ayu Aprianti Ayu Sinta Aprilia Chindy Akila 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 Febrianti, Werry Fitri, Adilla Anisa Gres Maretta, Gres Hanif, Muhammad Abi Listriani, Amalia Lovena Louisa Mardianto, Lutfi Mufidah, Zunanik Muliawati Mustika, Mira Noor, Dear Michiko Mutiara Noor, Dear Michiko Mutiara Pribadi, Aswan Anggun Pribadi, Aswan Anggun Rahmat Kurniawan 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 Yunita Asni