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All Journal Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Indonesian Journal of Multidiciplinary Research (IJoMR)
Sadiyyah, Fitriani Halimatus
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Chemical Engineering, Chemistry & Bioengineering Education Engineering Mathematics Social Sciences Other

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The Effect of Comparison of Soybeans and Coconut Water on Bio-Battery Electrical Power Valensia, Valensia; Sadiyyah, Fitriani Halimatus; Hibatulloh, Miussa Rio; Setiadi, Dwi Putra; Nandiyanto, Asep Bayu Dani; Anggraeni, Sri; Kurniawan, Tedi
Indonesian Journal of Multidiciplinary Research Vol 1, No 1 (2021): IJOMR: VOLUME 1, ISSUE 1, 2021
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1203.091 KB) | DOI: 10.17509/ijomr.v1i1.33668

Abstract

The world is currently facing an energy crisis. This research was conducted to create alternative energy by utilizing abundant biomass in nature. The novelty of this study: (1) Use of soybean biomass with coconut water as an electrolyte paste, (2) Testing of bio-battery resistance to wall clocks, and (3) Comparison of the composition of the two materials. In this study, an electrolyte paste made from soybeans (SBs) and coconut water (CWs) with a ratio of 7/1, 6/2, 5/3, 4/4, 3/5, 2/6, and 1/7. To support the analysis, an electrical voltage test and a battery resistance test for wall clocks were carried out.  The experimental results show that the composition of coconut water increases the value of the electric voltage on the bio-battery. The composition of coconut water serves to activate the ions in the paste. Meanwhile, more soybean content will increase bio-battery life. It was found that the bio-battery with electrolyte paste of soybeans and coconut water can be used as alternative energy. The results of this research are expected to offer renewable alternative energy for world energy security.
PENENTUAN LINTASAN OPTIMAL DISTRIBUSI BARANG MENGGUNAKAN HYPERGRAPH - PARTITIONING DAN ALGORITMA GENETIKA Sadiyyah, Fitriani Halimatus; Yulianti, Kartika; Sispiyati, Ririn
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 16 No 2 (2024): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2024.16.2.13545

Abstract

Efficient distribution of goods is critical in logistics management, which requires the selection of optimal distribution paths to achieve delivery targets with minimal total distance. This research combines Hypergraph-Partitioning and genetic algorithm to determine the optimal distribution path of goods to several customers. The Hypergraph-Partitioning divides the goods to be distributed equally to several vehicles, while the genetic algorithm is applied to determine the best distribution path in each partition. The results showed that the Hypergraph-Partitioning method successfully divided 62 customers into two partitions. The first partition serves 31 customers with a total demand of 865 loaves of bread, while the second partition also serves 31 customers with a total demand of 1,035 loaves of bread. The genetic algorithm was then used to find the shortest path for each partition, resulting in an efficient distribution solution.
Co-Authors Asep Bayu Dani Nandiyanto Hibatulloh, Miussa Rio Kartika Yulianti Putra, Rio Mahesa Ririn Sispiyati Setiadi, Dwi Putra Sri Anggraeni Tedi Kurniawan Valensia, Valensia