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All Journal Jurnal Ilmiah Kursor Journal of Natural Sciences and Mathematics Research Jurnal Matematika: MANTIK Unisda Journal of Mathematics and Computer Science (UJMC) Zeta - Math Journal DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Abdimas UNWAHAS : Jurnal Pengabdian Masyarakat UNWAHAS Jurnal Abdi: Media Pengabdian Kepada Masyarakat Contemporary Mathematics and Applications (ConMathA) Didaktika: Jurnal Pemikiran Pendidikan Tensor: Pure and Applied Mathematics Journal Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) NERO (Networking Engineering Research Operation)
Tony Yulianto
Universitas Islam Madura
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Social Sciences Other

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Pelatihan Pembuatan Kerajinan Tangan œBUKET Untuk Meningkatkan Kreativitas Siswa SMK Mawaddah Qurrotul Aini; Tony Yulianto; Faisol Faisol
Jurnal ABDI: Media Pengabdian Kepada Masyarakat Vol. 7 No. 1 (2021)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/ja.v7n1.p73-77

Abstract

SMK Mawaddah merupakan salah satu sekolah menengah kejuruan swasta yang memiliki satu jurusan yaitu pemasaran. Produk yang dipasarkan bermacam-macam, namun semua produknya lebih dominan ke produk kuliner, dan masih kurang mewadahi bagi siswa yang memiliki keahlian di bidang kesenian/kerajinan. Oleh karena itu dibuatlah pelatihan pembuatan kerajinan tangan ini agar siswa bisa mengembangkan kreativitasnya dan juga hasil produknya nanti bisa juga menjadi tambahan produk yang dipasarkan. Adapun contoh kerajinan tangan yang dipilih adalah buket. Tingkat pemahaman siswa SMK Mawaddah 50% sudah banyak yang memahami, 40% sudah sangat paham, dan hanya 10% yang tidak paham. Kemampuan siswa rata-rata Banyak yang memahami meskipun masih ada sedikit yang sulit memahami pelatihan ini. Sehingga pelatihan ini bisa dikatakan berhasil dan dapat diterapkan dalam pengolahan produk yang akan dipasarkan.
Application of the Smith Waterman and Jukes Cantor Algorithm in the Arrangement of the SARS CoV-2 Virus Tony Yulianto; Mohamad Tafrikan; Rica Amalia; Emi Yunita; Moch. Haikal; Fathorrozi Ariyanto; Zuhrotul Hasanah
Journal of Natural Sciences and Mathematics Research Vol 8, No 1 (2022): June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jnsmr.2022.8.1.10887

Abstract

In early 2020, the world was shocked by an outbreak of a new pneumonia that started in Wuhan, Hubei Province, which then spread rapidly to more than 190 countries and territories. This outbreak was named coronavirus disease 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2). The spread of this disease has had a wide social and economic impact. There is still a lot of controversy surrounding this disease, including in the aspects of diagnosis, treatment, and prevention. Therefore, a study was carried out on studies related to COVID-19 that have been widely published since the beginning of 2020 until the end of March 2020.So to overcome this problem, the Smith Waterman Jukes Cantor Algorithm was made to align Covid19 by taking the a pair of DNA and RNA sequencesto align protein sequences. From this alignment, the percentage of identical and mutations will be known. The identical percentage in the genetic code will prove that although the symptoms caused by the disease are almost the same, the protein sequences are not necessarily the same. Based on the simulation results of the distance between sequences that produce a phylogenetic tree using the jukes cantor method, it was obtained that 4 groups of 26 sequences were divided into groups, namely, group 1 consists of 16 sequences, group 2 consists of 6 sequences, group 3 consists of 2 sequences, group 4 consists of 2 sequences. Based on these groups, it turns out that the China Wuhan sequence (sequence MT291826) is located in group 1 and other countries that are almost similar to the sequence in China Wuhan, namely the country of Timoe Leste with the sequence MT641766 also located in group 1.©2022 JNSMR UIN Walisongo. All rights reserved.
THE PARAMETRIC AND NONPARAMETRIC ESTIMATOR IN SEMIPARAMETRIC REGRESSION FOR LONGITUDINAL DATA WITH SPLINE APPROACH Tony Yulianto; Kuzairi Kuzairi; Noer Azizah; M. Fariz Fadillah Mardianto; Ira Yuditira; Faisol Faisol; Rica Amalia
Jurnal Ilmiah Kursor Vol 11 No 4 (2022)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v11i4.316

Abstract

Regression analysis aims to determine the relationship between response variables and predictor variables. There are three approaches to estimate regression curves, there are parametric, nonparametric, and semiparametric regression. In this study, the form of spline semiparametric regression curve estimator for longitudinal data assessed. Based on the estimator that be obtained by using Weighted Least Square (WLS) optimization applied to model electricity consumption in Madura by choosing a model for longitudinal data based on linear spline estimator with two knot. The good criterion of the model is using the GCV value, the coefficient of determination and the value of MSE. The best model is a model that has a high coefficient of determination and a small MSE value. This spline model has a determination coefficient value of 99,72911% and MSE 32,50458.
Perbandingan Fuzzy Tsukamoto Dan Fuzzy Mamdani Dalam Memprediksi Intensitas Curah Hujan Di Kabupaten Sumenep Tony Yulianto; Ilmiyatus Solehah; Faisol Faisol; Rica Amalia; Mohamad Tafrikan
Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Vol 4 No 1 (2023): Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) April 2023
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/jatim.v4i1.2186

Abstract

Intensitas curah hujan merupakan hal yang cukup sulit untuk diprediksi. Banyak hal yang dapat menjadi faktor penentu curah hujan, diantaranya adalah suhu, kecepatan angin, kelembapan udara, tekanan udara, dan lain-lain. Faktor cuaca ini tentu menjadi komponen utama yang sulit untuk diprediksi dan diperhitungkan, karena akan sangat berguna dalam kegiatan sehari-hari. Kegiatan tersebut meliputi produksi pertanian, perkebunan, perikanan, dan transportasi. Dalam bidang pertanian, curah hujan dapat mempengaruhi masa tanam setiap tahun dan jenis tanaman apa yang cocok untuk ditanam. Selain itu, informasi curah hujan juga dapat mengantisipebabkan kegagalan produksi pertanian. Banyak metode peramalan yang dapat digunakan untuk melakukan peramalan, seperti metode Fuzzy yang digunakan pada penelitian ini, dengan membandingkan Fuzzy tsukamoto dan Fuzzy mamdani menggunakan data intensitas curah hujan bulanan di Kabupaten Sumenep. Berdasarkan hasil prediksi Curah Hujan dihasilkan MAPE Fuzzy Tsukamoto 59,9503 dan RMSEnya 114,8893, Fuzzy Mamdani metode Bisector menghasilkan MAPE 59,7829, Fuzzy Mamdani metode MOM (Mean Of Maximum) menghasilkan MAPE 62,9953, LOM (Largest Of Maximum) menghasilkan MAPE 59,2672, Fuzzy Mamdani metode SOM (Smallest Of Maximum) menghasilkan MAPE 157,4189 maka nilai prediksi RMSE terbaik menggunakan Fuzzy Mamdani Metode SOM (Smallest Of Maximum).
Dimensi Partisi pada Graf Hasil Operasi Korona Tingkat-k Rica Amalia; Ummi Nur Yatun Hasanah; Faisol; Tony Yulianto; Kuzairi
Contemporary Mathematics and Applications (ConMathA) Vol. 6 No. 1 (2024)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/conmatha.v6i1.54748

Abstract

Graph theory is one of the subjects in Discrete Mathematics that have long been known and are widely applied in various fields. The topics that are often discussed in graph theory include labeling, coloring, chromatic numbers, metric dimensions, and partition dimensions. Partition dimensions are obtained by grouping all the vertices on the graph into a number of partition classes, then determine the distance of all vertices to each partition class to get a representation. Partition class which representations have different coordinate vectors is called resolving partition. The minimum cardinality of resolving partition is called partition dimensions of the graph. The purpose of this study is to determine the partition dimensions of level corona operation graphs which are GʘkPm, GʘkCm and GʘkKm, where G, Pm, Cm and Km are connected non trivial graph, path graph, circle graph and complete graph respectively, and any integer k≥1.
Clustering Daerah Bencana Alam di Indonesia Menggunakan Metode Fuzzy C-Means Yulianto, Tony; Rahmah, Alfiana Faizzatur; Faisol, Faisol; Amalia, Rica
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.v9i2.4776

Abstract

Bencana alam merupakan kejadian luar biasa yang disebabkan oleh faktor alam ataupun faktor dari ulah manusia yang berdampak pada lingkungan dan manusia itu sendiri. Indonesia menjadi salah satu negara yang menjadi rawan bencana alam seperti tanah longsor, banjir, banjir bandang, gempa bumi, tsunami, kekeringan, kebakaran, gunung meletus, puting beliung dan gelombang pasang laut, Sehingga menimbulkan kerusakan lingkungan, kerugian harta benda, dampak psikologis, dan bahkan menimbulkan korban jiwa. Dalam penelitian ini dapat mengcluster bencana alam antara aman, cukup aman, rawan dan sangat rawan, sehingga dalam penyaluran bantuan bisa tepat sasaran. Dalam melakukan pengelompokan disini banyak metode yang bisa digunakan, namun dalam penelitian ini peneliti menggunakan metode Fuzzy C-Means. Dari hasil penelitian tersebut ada 11 provinsi yang masuk pada cluster 1, 4 provinsi yang masuk pada cluster 2, 13 provinsi yang masuk pada cluster 3 dan 6 provinsi yang masuk pada cluster 4. Berdasarkan hasil clustering terdapat beberapa provinsi yang paling rawan bencana adalah provinsi Aceh, Sumatera Utara, Riau, Sumatera Selatan, Lampung, Jawa Barat, Jawa Tengah, Jawa Timur, Nusa Tenggara Timur, Sulawesi Tenggara, Sulawesi Selatan, Papua, dan Papua Barat.
Pengelompokan Jumlah Wisatawan Nusantara Menggunakan Fuzzy Learning Vector Quantization Fauzan, Fauzan; Yulianto, Tony; Faisol, Faisol; Yudistira, Ira; ku, Kuzairi
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 10 No 1 (2024): 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.v10i1.7277

Abstract

Tourism is a variety of tourist activities and support from facilities and services provided by interested parties, such as the community, entrepreneurs and the goverment. Tourists are people who visit a destination outside of their daily activities within a certain period of time. There are several provinces that are classified as having minimal tourists, so they require government evaluation in providing good services in order to increase tourists in terenst in provinces that are classified as having minimal tourists. Therefore, to group the number of tourists, research will be carried out using a combination of data mining and fuzzy logic, namely the fuzzy learning vector quantization method. The research results obtained: For Euclidean Distance, there are 10 provinces in cluster 1 and there are 24 provinces in cluster 2. For squareeuclidean distance, there are 32 provinces in cluster 1 and there are 2 provinces in cluster 2. For city block distance there is 1 province which is included in cluster 1 and there are 33 provinces which are included in cluster 2. For the Chebychev distance there are 10 provinces which are included in cluster 1 and there are 24 provinces which are included in cluster 2. The final result which was chosen as the best is Euclidean however after checking the validity method it is in the formula squareeuclidean with value of PC= 8.32165E+26, CE=-8.94064E+14, and IFV= -1.4892E+13
Implementation of K-Means and Single Linkage on Types of Disabilities in East Java Province Putri Amaningsih; Tony Yulianto; Faisol; Rica Amalia
Contemporary Mathematics and Applications (ConMathA) Vol. 6 No. 2 (2024)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/conmatha.v6i2.58513

Abstract

The high number of people with disabilities is one of the problems faced by the Indonesian government, especially in Java Province. After West Java Province, East Java Province is in second place as the province with the highest rate of people with disabilities in Indonesia. Disabled people are people with physical disabilities such as not being able to walk, not being able to talk, not being able to see, and so on. The aim of this research is to group districts in East Java Province based on types of disabilities with the hope of facilitating activities in fulfilling the rights of people with disabilities in East Java Province. The grouping was carried out in order to determine the characteristics of each cluster using so that the optimal k-means method was used for clustering using the Euclidean distance method with cluster 1 in 29 districts and cluster 2 in 9 districts. The most optimal single linkage uses the Euclidean distance method with cluster 1 having 8 districts and cluster 2 having 30 districts. From the results of the validity index values, it was found that the single linkage method had the smallest validity value of the icdrate method compared to the k-means method.
Penerapan Fuzzy Interpolasi Spline Kubik Pada Data Pokok Lelang Di Pamekasan Nurmadhani, Nadya; Yulianto, Tony; Kuzairi, Kuzairi; Amiroch, Siti; Anekawati, Anik
Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Vol 4 No 2 (2023): Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Oktober 2023
Publisher : Fakultas Teknik Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/jatim.v4i2.2506

Abstract

Lelang sejak lama telah dikenal oleh masyarakat sebagai salah satu sarana untuk melakukan jual beli barang, Lelang merupakan mekanisme jual-beli yang diawali dengan adanya pengumuman atas penawaran barang kepada calon peserta lelang. KPKNL di Pamekasan memiliki peran yang cukup besar dalam rangka memenuhi kebutuhan masyarakat. Jual beli sistem lelang sangat membantu masyarakat untuk mempermudah melakukan transaksi jual beli dan tentu saja barang yang penulis miliki sudah terjamin dari berbagai sisi legalitasnya. Oleh karena itu, suatu perusahaan jasa harus mampu menawarkan berbagai produk untuk meningkatkan kepuasan dan memenuhi kebutuhan yang semakin beragam oleh masyarakat sebagai pemakai barang lelang. Maka dari itu, untuk mengetahui peningkatan dan penurunan jumlah lelang diperlukan suatu metode yang dapat digunakan untuk memprediksi jumlah lelang di Pamekasan, Metode yang peneliti gunakan dalam penelitian ini adalah metode fuzzy interpolasi Spline kubik. Berdasarkan hasil penelitian tersebut dapat terlihat bahwa hasil penerapan jumlah data pokok lelang di KPKNL Pamekasan dari bulan ke 50 sampai bulan ke 72 sangat mengalami peningkatan dibandingkan dari bulan ke 35 sampai bulan ke 49 yang sangat mengalami penurunan dengan nilai RMSE 0,2766 yang menghasilkan nilai eror sangat kecil.
Pengelompokkan Kemiskinan di Provinsi Jawa Timur Menggunakan Fuzzy Geographycally Weighted Clustering Anisa, Anisa; Yulianto, Tony; Kuzairi, Kuzairi; Faisol, Faisol
Zeta - Math Journal Vol 9 No 2 (2024): November
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2024.9.2.105-114

Abstract

Masalah kemiskinan menjadi isu global yang menarik untuk dibahas karena berdampak pada kondisi sosial ekonomi, pendidikan, kesehatan, maupun stabilitas politik suatu wilayah. Berdasarkan data Badan Pusat Statistik (BPS), jumlah penduduk miskin di Provinsi Jawa Timur sebanyak 4,19 juta orang pada Maret 2023 mengalami penurunan sebanyak 47,7 ribu orang dari September 2022. Namun Jawa Timur masih menjadi Provinsi dengan jumlah penduduk miskin tertinggi di Indonesia. Upaya yang dapat dilakukan dalam pengentasan kemiskinan yaitu mengetahui daerah dengan tingkat kemiskinan tertinggi, sedang atau rendah di Provinsi Jawa Timur dengan cara mengelompokkan Kabupaten/Kota berdasarkan indikator kemiskinan. Dalam penelitian ini pengelompokan Kabupaten/Kota berdasarkan indikator kemiskinan dilakukan dengan mempertimbangkan efek geografis menggunakan metode Fuzzy Geographically Weighted Clustering (FGWC). Hasil Penelitian diperoleh 3 cluster yang optimum dengan karakteristik cluster yang berbeda berdasarkan indikator kemiskinan. Cluster 1 dengan kemiskinan rendah, cluster 2 dengan kemiskinan sedang dan cluster 3 dengan kemiskinan tinggi.
Co-Authors Amalia, Rica Anekawati, Anik Anisa Anisa Anisa A’lailliyyin1, A’lailliyyin Buhari Buhari Dian Fitriani Emi Yunita Faisol Faisol Faisol Faisol, Faisol Fathorrozi Ariyanto Fatimatus Zahroh Fauzan . Firdausiyah Firdausiyah Hasan Hasan Ilmiyatus Solehah Ira Yudistira Ira Yudistira ku, Kuzairi Kuzairi Lilik Safitri M. Fariz Fadillah Mardianto Mahrus Mahrus, Mahrus Moch. Haikal Moh. Yaqin Mohamad Tafrikan Mohamad Tafrikan Mufarrohah, Mufarrohah Muhammad Rivai Na'malia, sakinun Noer Azizah Nur Jannah Nurfitriyah, Luluk Nurmadhani, Nadya Nurul Hasanah Nurul M’rifatil Laila Putri Amaningsih Qurrotul Aini Rahmah, Alfiana Faizzatur Rica Amalia Rica Amalia Rica Amalia Riyatun Hasanah Sari, Iin Nofita Sarmiatul Hasanah Siti Amiroch, Siti Siti Anisah Siti Lailiyah, Siti Siti Romlah Sofiyanto, Sofiyanto Sofyan, Moh. Sri Suryanti Suci Rohani Tengku Riza Zarzani N Ulfaniyah, Nur Ita Ummi Nur Yatun Hasanah Yaqin, Moh Yudistira, Ira Yulianto, Toni Zaifullah, Zaifullah Zainuddin, Moh Zuhrotul Hasanah Zulaikha, Layla Imroatu