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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Teknik Industri EKSAKTA: Journal of Sciences and Data Analysis Jurnal Matematika Techno.Com: Jurnal Teknologi Informasi CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Journal of Information Systems Engineering and Business Intelligence JITEK (Jurnal Ilmiah Teknosains) Jurnal Matematika: MANTIK JMPM: Jurnal Matematika dan Pendidikan Matematika JATI UNIK : Jurnal Ilmiah Teknik dan Manajemen Industri Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Ilmiah Soulmath : Jurnal Edukasi Pendidikan Matematika BAREKENG: Jurnal Ilmu Matematika dan Terapan Unisda Journal of Mathematics and Computer Science (UJMC) Zeta - Math Journal Multitek Indonesia : Jurnal Ilmiah Mathvision : Jurnal Matematika Systemic: Information System and Informatics Journal Applied Technology and Computing Science Journal Specta Journal of Technology Indexia International Journal of Data Science, Engineering, and Analytics (IJDASEA) J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat)
Dinita Rahmalia, Dinita
Universitas Islam Darul 'Ulum Lamongan
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Veterinary

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Journal : Unisda Journal of Mathematics and Computer Science (UJMC)

 1 
PEMODELAN MATEMATIKA DAN ANALISIS STABILITAS DARI PENYEBARAN PENYAKIT FLU BURUNG Dinita Rahmalia
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 1 No 01 (2015): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1680.986 KB) | DOI: 10.52166/ujmc.v1i01.399

Abstract

Di Indonesia terdapat banyak peternak unggas sebagai matapencaharian sehingga Indonesia rawan sebagai sumber penyebaran flu burung. Penyebab flu burung adalah virus influensa tipe A dengan subtipe H5N1 yang menyebar antar unggas dan dapat menular pada manusia. Burung liar dan hewan domestik (ternak) menjadi sumber penyebar H5N1. Virus ini dapat menular melalui udara ataupun kontak melalui makanan, minuman, dan sentuhan. Flu burung termasuk jenis penyakit mikroparasitis (jenis penyakit yang disebabkan oleh virus) tetapi ada keterkaitan antara unggas dan manusia sebagai hospes (host). Karena itu model flu burung berbeda dengan model-model flu umumnya. Pada penelitian ini akan ditentukan analisis kualitatif dari model penyebaran flu burung (avian flu) untuk mendapatkan bilangan reproduksi dasar R0, dimana R0 bertujuan mengetahui adanya penyebaran penyakit atau tidak adanya penyebaran penyakit melalui analisis stabilitas dari disease free equilibrium maupun endemic equilibrium.
Optimasi Biaya Pendistribusian Bibit Padi Menggunakan Metode ASM Modifikasi Muhsin Nasrul Fawa’idl; Mohammad Syaiful Pradana; Dinita Rahmalia
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 8 No 1 (2022): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The delay in rice seed distribution activities during the Covid-19 pandemic caused rice seed distributors and agents to have difficulty meeting market needs. The purpose of this study was to determine the optimum cost of distributing rice seeds using the modified ASM method. This method replaces the dummy value with the largest reduced value which functions as an optimization of the zero number that appears in the table. This algorithm is taken from the Improved Zero Point method. Data were taken from three distributors and five agents of rice seeds in Sarirejo and Tikung sub-districts, Lamongan district. The results of this study indicate that the ASM method is able to provide optimum results for transportation problems with unbalanced data with relatively shorter steps. Abstrak Terhambatnya kegiatan distribusi bibit padi selama masa pandemi covid-19 menyebabkan para distributor dan agen bibit padi mengalami kesulitan dalam memenuhi kebutuhan pasar. Tujuan penelitian ini adalah untuk menentukan biaya optimum pada pendistribusian bibit padi menggunakan metode ASM modifikasi. Metode ini mengganti nilai dummy dengan nilai tereduksi terbesar yang berfungsi sebagai pengoptimalan angka nol yang muncul pada tabel. Algoritma ini diambil dari metode Improved Zero Point. Data diambil dari tiga distributor dan lima agen bibit padi yang terdapat di kecamatan Sarirejo dan Tikung kabupaten Lamongan. Hasil penelitian ini menunjukkan metode ASM mampu memberikan hasil yang optimum untuk masalah transportasi dengan data tak-seimbang dengan langkah yang relatif lebih singkat.
Penerapan Algoritma ID3 dan Algoritma C4.5 Untuk Klasifikasi Penerima BPNT Sholikhah, Minhatin Nisaatus; Rahmalia, Dinita; Pradana, Mohammad Syaiful
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 9 No 2 (2023): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v9i2.6111

Abstract

Non-Cash Food Assistance (BPNT) is social food assistance in the form of non-cash from the government which is given to Beneficiary Families (KPM) every month through an electronic account mechanism which is used only to buy food at traders or e-warongs. One of the difficulties that the government sometimes faces in distributing BPNT is that the distribution process is uneven and not on target. Therefore, it is necessary to carry out further analysis using a mathematical approach, so that we can determine the feasibility of a BPNT recipient prediction problem. Through the results of the data collection analysis, it can be seen whether residents are eligible to receive BPNT or not. Based on existing problems, a classification method is used to predict the eligibility of BPNT beneficiaries using two methods, namely the ID3 algorithm and the C4.5 algorithm. The ID3 algorithm produces an accuracy value of 90%, precision of 100%, and recall of 83.33%. The C4.5 algorithm produces an accuracy value of 80%, precision of 100%, and recall of 80%. The AUC/ROC value of the ID3 algorithm is 0.500, the classification is diagnosed in the AUC/ROC curve as failure or failure in classification. The C4.5 algorithm has an AUC/ROC value of 0.800, meaning that the classification is included in good classification. In this way, it can be concluded that the C4.5 algorithm has better results compared to the ID3 algorithm
Co-Authors Abdul Muhith Adrianto, Dian Andy Suryowinoto Arif Rohmatullah Arif Rohmatullah, Arif Awawin Mustana Rohmah Dennis V. Madrigal Dian Adrianto Dieky Adzkiya Elin Rias Tuti Ericha Dwi Ayu Prahastini Fajar Annas Susanto Fathul Fuad Attamini Hendro Nurhadi Husenti, Nadya Karya, Denis Fidita Khozin Mu'tamar Kresna Oktafianto Kresna Oktafianto Luluk Faridah M. Faris Naufal Hamdani M. Yushak Anshori Mohamad Yusak Anshori Mohammad Naufal Abdi Mohammad Syaiful Pradana, Mohammad Syaiful Muhammad Syaiful Pradana Muhsin Nasrul Fawa’idl Nur Aini Nuril Lutvi Azizah Sholikhah, Minhatin Nisaatus Sigit Pancahayani Siti Mutmainnah sutimin sutimin Teay Shawyun Teguh Herlambang Thomy Eko Saputro Tomasouw, Berny Pebo