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MILANG Journal of Mathematics and Its Applications
Published by Institut Pertanian Bogor
ISSN : -     EISSN : 29635233     DOI : https://doi.org/10.29244/milang.18.1
Core Subject : Education,
Mathematics
MILANG Journal of Mathematics and Its Applications, originally established in 2002 as the Journal of Mathematics and Its Applications (ISSN 1412-677X), transitioned to online publishing in 2018 and was renamed in 2022 to reflect its broadened scope. The name MILANG, a Sundanese word meaning “to count,” also stands for the journal’s key focus areas: Mathematics in Informatics, Life Sciences, Actuarial Science, Natural Sciences, and Graph Theory. This journal, published twice a year in June and December by the Department of Mathematics, IPB University, embraces an open access policy, making all articles freely available upon publication to support the global dissemination of innovative mathematical research.
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 4 No. 2 (2005): Journal of Mathematics and Its Applications" : 5 Documents clear
A NOTE ON ESTIMATION OF THE GLOBAL INTENSITY OF A CYCLIC POISSON PROCESS IN THE PRESENCE OF LINEAR TREND MANGKU, I W.
MILANG Journal of Mathematics and Its Applications Vol. 4 No. 2 (2005): Journal of Mathematics and Its Applications
Publisher : School of Data Science, Mathematics and Informatics, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jmap.4.2.1-12

Abstract

We construct and investigate a consistent kernel-type nonparametric estimator of the global intensity of a cyclic Poisson process in the presence of linear trend. It is assumed that only a single realization of the Poisson process is observed in a bounded window. We prove that the proposed estimator is consistent when the size of the window indefinitely expands. The asymptotic bias and variance of the proposed estimator are computed. Bias reduction of the estimator is also proposed.1991 Mathematics Subject Classification: 60
CELLULAR AUTOMATA SIMULATION OF TRAFFIC LIGHT STRATEGIES IN OPTIMIZING THE TRAFFIC FLOW NUGRAHANI, E. H.; RAMDHANI, R.
MILANG Journal of Mathematics and Its Applications Vol. 4 No. 2 (2005): Journal of Mathematics and Its Applications
Publisher : School of Data Science, Mathematics and Informatics, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jmap.4.2.13-20

Abstract

The behavior of traffic system controlled by traffic lights is presented under assumptions of city traffic on a single lane based on the optimal velocity model.  The effect of differrent traffic light control strategies on the traffic flow is discussed using three different strategies, i.e. the synchronized, green wave, and random offset strategies. The flow-density diagrams are analyzed using these strategies.   The numerical investigation is carried out using cellular automata model to get a better understanding of the microscopic behavior of the system under the three different traffic light strategies.
PEMODELAN NILAI TUKAR RUPIAH TERHADAP $US MENGGUNAKAN HIDDEN MARKOV* SETIAWATY, B.; SARI, D. N.
MILANG Journal of Mathematics and Its Applications Vol. 4 No. 2 (2005): Journal of Mathematics and Its Applications
Publisher : School of Data Science, Mathematics and Informatics, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jmap.4.2.21-28

Abstract

Perilaku nilai tukar Rupiah terhadap $US dari tahun 1998 sampai dengan 2005 dicoba dimodelkan dengan menggunakan Hidden Markov (Elliott, et. al. 1995) Pendugaan parameter model dilakukan mengunakan Metode Maximum Likelihood dan pendugaan ulang menggunakan metode Expectation Maximization yang melibatkan perubahan ukuran. Hasil yang diperoleh kurang baik karena galat antara nilai harapan dengan nilai sebenarnya cukup besar.
PENGGUNAAN ALGORITMA COLUMN GENERATION UNTUK MENENTUKAN RUTE OPTIMAL PENGANGKUTAN SAMPAH DI KOTA BOGOR HANUM, F.
MILANG Journal of Mathematics and Its Applications Vol. 4 No. 2 (2005): Journal of Mathematics and Its Applications
Publisher : School of Data Science, Mathematics and Informatics, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jmap.4.2.29-44

Abstract

Pengelolaan sampah di kota-kota besar pada saat ini telah menimbulkan persoalan lingkungan yang memerlukan penanganan segera. Jika tidak dikelola dengan baik, maka sampah akan menjadi sumber penyakit, menimbulkan bau busuk, mencemari air tanah, menimbulkan banjir, dan mengurangi keindahan lingkungan. Ada beberapa tahapan pengelolaan sampah yang selama ini dilakukan di beberapa kota di Indonesia yaitu (i) mengumpulkan sampah dari lokasi penghasil sampah (sumber sampah) kemudian diangkut ke TPS (Tempat Penampungan Sementara) sampah, (ii) mengangkut sampah dari TPS-TPS ke TPA (Tempat Pembuangan Akhir) sampah, dan (iii) memusnahkan sampah dengan lahan urug saniter, membakarnya di dalam incenerator, atau mengelola sampah menjadi barang yang dapat dipakai lagi, misalkan kompos, barang-barang keperluan rumah tangga dll. Di kota Bogor, biaya pengangkutan sampah ternyata lebih tinggi dibandingkan dengan biaya komponen lain dalam pengelolaan sampah. Pada penelitian ini, dilakukan pemodelan pengangkutan sampah di kota Bogor dengan capacitated node routing problem dan penentuan solusi optimalnya dengan menggunakan algoritma column generation. 
BIPLOT DAN IMPLEMENTASINYA DENGAN PEMROGRAMAN FUNGSIONAL MATHEMATICA ARDANA, N. K. K.; SISWADI, S.
MILANG Journal of Mathematics and Its Applications Vol. 4 No. 2 (2005): Journal of Mathematics and Its Applications
Publisher : School of Data Science, Mathematics and Informatics, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jmap.4.2.45-55

Abstract

Teknik pemrograman fungsional mathematica digunakan untuk mengimplementasikan metode (Gabriel) biplot. Hasil utarna yang diperoleh berupa suatu perintah/fungsi biplot[data, 0, opsi]. Argumen pertama: data berupa data mentah dalam bentuk matriks dan peubah ganda yang terdiri dari n obyek dan p peubah. Argumen a berupa koefisien a € [0,1] pada penguraian nilai singular rnatriks data X = VA V' = (U Aa)( A I-a V')=GH". Nilai a = 0 menghasilkan biplot korelasi, a = 1 menghasilkan biplot jarak Euclid, 0.= 0.5 menghasilkan biplot antara. Kombinasi a, = 1 untuk G dan 0.2 = 0 untuk H menghasilkan biplot kombinasi. Argumen opsi berupa tambahan untuk label titik-titik obyek dan vektor peubah. Perintah biplot akan menghasilkan sekaligus plot obyek yang dinyatakan dengan tebaran titik koordinatnya, dan plot vektor peubah yang dinyatakan dengan garis. Illustrasi kasus nyata berupa biplot pernanfaatan dan pengembangan Teknologi Informasi (TI) pada beberapa negara diberikan untuk melihat tampilan biplot yang dihasilkan beserta interpretasinya.

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