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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Jurnal Pendidikan Matematika Jurnal Sains Teknologi dan Lingkungan (JSTL) Jurnal Pilar Nusa Mandiri JURNAL SILOGISME : Kajian Ilmu Matematika dan Pembelajarannya EXPLORE EIGEN MATHEMATICS JOURNAL Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal Varian Contemporary Mathematics and Applications (ConMathA) Majalah Ilmiah Matematika dan Statistika (MIMS) EXPLORE Jurnal Pepadu Bakti Sekawan : Jurnal Pengabdian Masyarakat Basis : Jurnal Ilmiah Matematika JSN : Jurnal Sains Natural Darma Diksani: Jurnal Pengabdian Ilmu Pendidikan, Sosial, dan Humaniora
Muhammad Rijal Alfian
Program Studi Matematika, Fakultas MIPA, Universitas Mataram
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Nursing Physics Public Health Social Sciences Other

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Pemanfaatan Software QGIS dan Web Wilkerstat dalam Proses Insert Peta WS untuk ST2023 di BPS Kabupaten Lombok Timur Agustina, Amalia; Syifa, Aulia; Zahro, Annisa Syifa; Alfian, Muhammad Rijal
Bakti Sekawan : Jurnal Pengabdian Masyarakat Vol 4 No 1 (2024): Juni
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/bakwan.v4i1.436

Abstract

Quantum Geografic Information System atau biasa disebut dengan QGIS adalah crossplatform perangkat lunak bebas (open source) desktop yang digunakan untuk mengolah dan menyimpan data atau informasi geografis. Sementara itu, Web Wilkerstat dalah web yang dibuat khusus untuk lingkungan kerja Badan Pusat Statistik (BPS), berfungsi untuk mengenali batas wilayah kerja statistik (Wilkerstat) dan untuk melakukan pengambilan Geotagging foto suatu landmark batas wilkerstat maupun landmark infrastruktur. Salah satu pemanfaatan dari kedua teknologi ini adalah dalam proses insert Peta WS di BPS Kabupaten Lombok Timur. Peta Wilkerstat (WS) merupakan peta yang digunakan dalam melakukan pencacahan pada setiap Satuan Lingkungan Setempat (SLS) agar mendapatkan data yang berkualitas. Namun, terkadang peta yang disediakan oleh pihak BPS tidak dapat dengan jelas menunjukkan titik bangunan untuk setiap SLS. Oleh karena itu, perlu dilakukan proses insert Peta WS. Dengan dilakukannya insert Peta WS, letak titik bangunan menjadi lebih jelas, sehingga lebih memudahkan petugas dalam melakukan pencacahan.
Combination of gray level co-occurrence matrix and artificial neural networks for classification of COVID-19 based on chest X-ray images Imran, Bahtiar; Delsi Samsumar, Lalu; Subki, Ahmad; Zaeniah, Zaeniah; Salman, Salman; Rijal Alfian, Muhammad
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i2.pp1625-1631

Abstract

This research uses the gray level co-occurrence matrix (GLCM) and artificial neural networks to classify COVID-19 images based on chest X-ray images. According to previous studies, there has never been a researcher who has integrated GLCM with artificial neural networks. Epochs 10, 30, 50, 70, 100, and 120 were used in this research. The total number of data points used in this investigation was 600, divided into 300 normal chests and 300 COVID-19 data points. Epoch 10 had 91% accuracy, epoch 30 had 91% accuracy, epoch 50 had 92% accuracy, epoch 70 had 91% accuracy, epoch 100 had 92% accuracy, and epoch 120 had 90% accuracy in categorization. As indicated by the results of the classification tests, combining GLCM and artificial neural networks can produce good results; a combination of these methods can yield a classification for COVID-19.
DATA MINING USING RANDOM FOREST, NAÏVE BAYES, AND ADABOOST MODELS FOR PREDICTION AND CLASSIFICATION OF BENIGN AND MALIGNANT BREAST CANCER Imran, Bahtiar; Hambali, Hambali; Subki, Ahmad; Zaeniah, Zaeniah; Yani, Ahmad; Alfian, Muhammad Rijal
Jurnal Pilar Nusa Mandiri Vol 18 No 1 (2022): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v18i1.2912

Abstract

This study predicts and classifies benign and malignant breast cancer using 3 classification models. The method used in this research is Random Forest, Naïve Bayes and AdaBoost. The prediction results get Random Forest = 100%, Naïve Bayes = 80% and AdaBoost = 80%. Results using Test and Score with Number of Folds 2, 5 and 10. Number of Folds 2 Random Forest model Accuracy = 95%, Precision = 95% and Recall = 95%, Naïve Bayes Accuracy = 93%, Precision = 93% and Recall 93%, AdaBoost Accuracy = 90%, Precision = 90% and Recall = 90%. With Number of Folds 5 with Random Forest = 96%, Precision = 96% and Recall 96%. Naïve Bayes Accuracy value = 94%, Precision = 94% and Recall = 94%, AdaBoost Accuracy value = 93%, Precision = 93% and Recall = 93%. With Number of Folds 10 Random Forest model = 96%, Precision = 96% and Recall 96%. Naïve Bayes Accuracy value = 94%, Precision = 94% and Recall = 94%, AdaBoost Accuracy value = 92%, Precision = 92% and Recall = 92%. Of the 3 models used, Random Forest got the best classification results compared to the others.
MODEL EPIDEMIK SIR DAN MODEL JARINGAN SYARAF TIRUAN DEMAM BERDARAH DENGUE DI NTB Alfian, Muhammad Rijal; Bahri, Syamsul; -, Marwan; Awalusshaumi, Lailia; Harsiyah, Lisa; Azmi, Kamalatul; Andriani, Helmina
Jurnal Silogisme : Kajian Ilmu Matematika dan Pembelajarannya Vol 8, No 1 (2023): Juni
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/silogisme.v8i1.6202

Abstract

Salah satu masalah kesehatan untuk negara beriklim tropis dan subtropis adalah Demam Berdarah Dengue (DBD). Sepanjang 2021, ada 73.518 kasus DBD di Indonesia dengan 2.697 kasus terjadi di NTB dengan kasus kematian yang disebabkan oleh DBD sebanyak 21 kasus. Penyakit DBD dengan prediksi perkembangan jumlah penderita yang terinfeksi dapat dimodelkan dengan menggunakan model matematis epidemiologi yaitu model persamaan diferensial nonlinear SIR yang diklasifikasi ke dalam tiga kompartemen yaitu S (Susceptible), I (Infectious), dan R (Recovered) serta dapat disimulasikan dengan neural network. Dalam neural network, terdapat ide untuk melakukan pemetaan suatu fungsi pada konsep classifier yaitu pengklasifikasian objek dengan memanfaatkan persamaan linear, ???? = ????(????) untuk meregresi data. Data yang digunakan adalah data sekunder yang bersumber dari Dinas Kesahatan Provinsi NTB. Data yang diperoleh kemudian dianalisis sehingga memperoleh titik keseimbangan. Dari hasil analisis model SIR penyebaran penyakit deman berdarah di NTB diperoleh dua titik keseimbangan namun hanya satu titik yang stabil asimtotik karena semua nilai eigen yang diperoleh bernilai negatif. Nilai dari , artinya titik keseimbangan bebas penyakit demam berdarah di NTB berangsur-angsur akan menghilang.
Optimization of production process scheduling at Mataram Convection using the Campbell-Dudek and Smith method and the Ho and Chang method Yunus, Muhammad Ahladi; Marwan, Marwan; Alfian, Muhammad Rijal
Majalah Ilmiah Matematika dan Statistika Vol 23 No 1 (2023): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v23i1.36403

Abstract

Konveksi Mataram (Djagoan Kaos dan Seragam) is one of the industries engaged in the manufacture of various types of clothing models with fabric as the basic material. So far, the scheduling method used by the company is the First Come First Serve method, in which the completion of production is based on order-to-order data. In this case, with high order intensity, companies often experience difficulties in completing orders according to a predetermined pick-up time. The problems experienced by the company were caused by the production process scheduling that was not optimal. Based on the problems encountered, the purpose of this research is to obtain the optimal scheduling sequence by determining the smallest makespan (minimum total completion time) of the application of the method to the production process. The methods used in this study are the Campbell-Dudek and Smith method and the Ho and Chang method and from these two methods, it is known that the smallest production process is optimal. Based on the results of calculations using the Campbell-Dudek and Smith method, the optimal scheduling sequence with the smallest makespan is 39163 minutes or the production process will be completed in 73 working days. While the results of calculations using the Ho and Chang method obtained the optimal scheduling sequence with the smallest makespan of 38660.50 minutes or the production process will be completed in 72 working days. From the makespans of the two methods, the Ho and Chang method is superior to the Campbell-Dudek and Smith method with a difference of 502.50 minutes or about 1 working day, whereas when compared to the company's initial method, namely First Serve First Come with a makespan of 43025.50 minutes, the HC method can make completion time efficient with a difference of 4365 minutes or about 8 working days. Keywords: Campbell-Dudek and Smith methods, first come first serve, Ho and Chang, makespan, production schedulingMSC2020: 90B30
UPAYA PENINGKATAN MINAT BELAJAR MATEMATIKA SISWA Salwa, Salwa; Abdurahim, Abdurahim; Awalushaumi, Lailia; Marwan, Marwan; Aini, Qurratul; Robbaniyyah, Nuzla Af’idatur; Alfian, Muhammad Rijal; Baskara, Zulhan Widya; Rusadi, Tri Maryono; Syechah, Bulqis Nabula; Wardana, I Gede Adhitya Wisnu; Choirunnisa, Fajarani
Jurnal Pepadu Vol 5 No 3 (2024): Jurnal PEPADU
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/pepadu.v5i3.5870

Abstract

Berbagai faktor dapat mempengaruhi rendahnya minat siswa dalam belajar matematika, diantaranya adalah metode pembelajaran yang dilakukan guru saat mengajar, keterbatasan sarana prasarana pembelajaran, motivasi dari guru, dan dukungan orang tua siswa. keingintahuan siswa berupa materi yang menarik, penjelasan guru yang mudah dipahami akan menjadikan matematika menjadi mata pelajaran favorit, mengingat pentingnya pemahaman konsep dasar matematika di tingkat sekolah, khususnya SMA, maka perlu adanya upaya untuk meningkatkan minat belajar matematika. Dalam hal ini, upaya yang dilakukan melalui media cerita tentang paradoks dan temuan tokoh-tokoh matematika yang dimanfaatkan untuk membantu memudahkan kehidupan manusia, diharapkan bisa menumbuhkan keinginan mengetahui palajaran matematika sehingga menumbuhkan minat belajar matematika siswa. Pengabdian dilaksanakan pada tanggal 8 Juni 2024 yang dialaksanakan melalui tahapan penyusunan materi palatihan, FGD, memberikan pre test, memberikan materi serta memberikan post test setelah diberikannya materi. Hasil yang diperoleh adalah dari 10 item pertanyaan, terdapat 8 pertanyaan yang jawabannya positif dan 2 lainnya jawabannya negatif. Sebagian besar responden setuju (52.57%) atau sangat setuju (38.97%) dengan pertanyaan yang masuk dalam golongan positif, hal ini menunjukkan bahwa mayoritas responden memiliki pandangan yang positif terhadap topik yang ditanyakan. Jadi dapat disimpulkan bahwa hasil post test menunjukkan bahwa intervensi atau pelatihan yang dilakukan efektif dalam meningkatkan pandangan positif responden.
Brief Report on The Population Survey Long-tailed Macaque (Macaca fascicularis [Raffles,1821]) in West Nusa Tenggara, Indonesia Hadi, Islamul; Wiantoro, Sigit; Inayah, Nurul; Maharadatunkamsi, Maharadatunkamsi; Atikah, Tika Dewi; Zamroni, Yuliadi; Supardiono, Supardiono; Alfian, Muhammad Rijal; Sadewo, Imran; Mubarokah, Nurlaila; Kurniawan, Budhy; Tresnani, Galuh
JURNAL SAINS TEKNOLOGI & LINGKUNGAN Vol. 10 No. 3 (2024): JURNAL SAINS TEKNOLOGI & LINGKUNGAN
Publisher : LPPM Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jstl.v10i3.701

Abstract

Survey on the population and distribution of long-tailed macaque (Macaca fascicularis [Raffles, 1821]) in the administrative areas of West Nusa Tenggara Province have been conducted during June-July 2024 to examine the distribution and population status on the macaque.  The on-road reconnaissance survey, interview and literature studies have applied to collect data. We recorded 6146 individuals from 307 groups of long-tailed macaques in eight regencies. Of the 6146 individuals of long-tailed macaques, 1532 individuals are recorded living in conservation area, while 4614 individuals live in outside conservation area, respectively.  The number of individuals and troops of the monkey showed us the minimum number that can be recorded. Further study needs to be conducted in addressed to dig more information on the existence of long-tailed macaque in West Nusa Tenggara. Furthermore, population information and distribution of long-tailed macaques could be the basic knowledge on the population management efforts in the future.
Optimasi Keuntungan Penjualan dengan Metode Simpleks: Implementasi Menggunakan Software POM-QM Fadillah, Muhammad; Ramadhan, Hikmal Maulana; Hidayat, Taufik; Sahrin, Laila Alfi; Alfian, Muhammad Rijal; Maharani, Andika Ellena Saufika Hakim
JSN : Jurnal Sains Natural Vol 2 No 4 (2024): November
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jsn.v2i4.648

Abstract

Setiap pelaku usaha pasti menghadapi tantangan untuk mengoptimalkan keuntungan dengan sumber daya terbatas, terutama dalam menentukan jumlah produksi yang sesuai permintaan. Penelitian ini bertujuan untuk mengoptimalkan keuntungan penjualan gorengan pada usaha kecil di lingkungan perumahan Pagutan Barat, yang berfokus pada dua produk utama yaitu tempe goreng dan tahu isi. Proses optimalisasi menggunakan metode Simpleks dengan bantuan software POM-QM. Metode Simpleks dipilih karena mampu menentukan kombinasi produksi optimal dengan mempertimbangkan batasan sumber daya dan target keuntungan. Berdasarkan hasil perhitungan optimasi, diperoleh bahwa jumlah penjualan harian supaya mendapatkan keuntungan paling optimal adalah 30 pcs tempe goreng dan 90 pcs tahu isi. Penerapan metode ini menghasilkan keuntungan penjualan sebesar Rp. 90.000 per hari. Hal ini tentunya memberikan dampak positif pada total keuntungan usaha. Hasil ini membuktikan bahwa metode Simpleks mampu membantu pelaku usaha memperoleh keuntungan yang lebih optimal. Penelitian ini menunjukkan bahwa penerapan teknik optimasi matematis dapat menjadi solusi praktis bagi pelaku usaha dalam mengelola dan mengoptimalkan penjualan.
Optimalisasi Omzet Penjualan Kaos Pada Usaha Konveksi Rumah Kaos Lombok Menggunakan Metode Simpleks Ratih, Wahyu Erinna; Setiandini, Gifani Putri; Risnawati, Risnawati; Maharani, Andika Ellena Saufika Hakim; Alfian, Muhammad Rijal
JSN : Jurnal Sains Natural Vol 3 No 1 (2025): Februari
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jsn.v3i1.684

Abstract

Rumah Kaos convection is a manufacturing company that focuses on producing high-quality t-shirts with a variety of design options. This research aims to optimize turnover from t-shirt production by applying a linear programming approach using the simplex method. The data analyzed includes product type, raw materials, working time and selling price. The analysis process is carried out by compiling objective functions, constraint functions, and simplex table modeling. The results of this research show the optimal combination in raw material allocation that can maximize profits. It is hoped that these findings will serve as a strategic guide for entrepreneurs in planning production efficiently and achieving sustainable business growth.
The Extended Metric Space on Max-Plus Algebra Putra, Lalu Riski Wirendra; Aini, Qurratul; Alfian, Muhammad Rijal
Eigen Mathematics Journal Vol 8 No 1 (2025): June
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v8i1.254

Abstract

Max-Plus Algebra is the newly emerged mathematical object as one of the algebraic structures. Max Plus Algebra is a semi-ring with the maximum operation as its addition and the plus operation as its multiplication. In 2012, Carl et.al. established a novel notion about metric in max-plus geometry which is the semi-module over the semi-ring with maximum and addition biner operations. The writer researched to discover the distance function or metric, especially for the extended real-valued metric of Max-Plus Algebra and its properties with maximum and addition biner operations. By using both direct and indirect proof methods, the distance function of Max Plus Algebra and its topological properties were obtained.
Co-Authors Abdurahim, Abdurahim Abdurrahman Salim AGUS KURNIA Agustina, Amalia Ahmad Subki ahmad yani Al Paqih, Muhammad Imam Anak Agung Istri Sri Wiadnyani Atikah, Tika Dewi Awalusshaumi, Lailia Azmi, Kamalatul Budhy Kurniawan Choirunnisa, Fajarani Dani, Ifan Hasnan Dwi Noorma Putri Efendi, Muhammad Masjun Fadillah, Muhammad Galuh Tresnani Hambali Hambali Hamsini, Lasmi Hardi, Rida Alkausar Harsiyah, Lisa Harsyiah, Lisa Helmina Andriani Humamurrizqi, Humamurrizqi I Gede Adhitya Wisnu Wardhana Immy Suci Rohyani Imran, Bahtiar ISLAMUL HADI Jamaludin . Karina Nurwijayanti Lailia Awalushaumi Lailia Awalushaumi, Lailia Lalu Delsi Samsumar, M.Eng. Maharadatunkamsi Maharadatunkamsi, Maharadatunkamsi Maharani, Andika Ellena Saufika Hakim Marwan - Marwan Marwan Marwan Marwan Maulana, Fariz Moh Subli Moh. Subli Muhammad Masjun Efendi Ni Wayan Switrayni Nurlaila Mubarokah Nurul Fitriyani Nurul Inayah Nuzla Af'idatur Robbaniyyah Putra, Lalu Riski Wirendra Qurratul Aini Qurratul Aini Ramadhan, Hikmal Maulana Ratih, Wahyu Erinna Risnawati Risnawati Rizki Fitri Ananda Robbaniyyah, Nuzla Af'idatur Robbaniyyah, Nuzla Af’idatur Sadewo, Imran Safrudin, Muhamad Sahrin, Laila Alfi Salman Salman Salwa Salwa Setiandini, Gifani Putri Sholihah, Dynda Aisyah Syafitri Sigit Wiantoro, Sigit Subki, Ahmad Supardiono, Supardiono Syafitri, Hanna Syamsul Bahri Syechah, Bulqis Nabula Syifa, Aulia Taufik Hidayat Tri Maryono Rusadi Ulfa, Kurnia Wardana, I Gede Adhitya Wisnu Yuliadi Zamroni Yunus, Muhammad Ahladi Zaeniah Zaeniah Zahro, Annisa Syifa