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Kubik
Published by Universitas Islam Negeri Sunan Gunung Djati Bandung
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Core Subject : Education,
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Articles 131 Documents
 10   11   12   13   14 
Gelanggang Prima Lemah Kiri Penuh Taufiqurrahman, Muhammad Nur Hidayat; Nasution, Dellavitha
KUBIK Vol 9 No 1 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i1.33239

Abstract

Tulisan karya Abouhalaka dan Findik [7] yang berjudul “Almost Prime Ideals in Noncommutative Rings” menghasilkan konsep tentang gelanggang dengan setiap ideal kanannya adalah ideal hampir prima yang disebut dengan gelanggang hampir prima kanan penuh. Paper ini menerapkan konsep tersebut untuk ideal prima lemah kiri, dan akan membuktikan bahwa sifat-sifat pada ideal hampir prima kanan yang diperoleh Abouhalaka dan Findik  juga berlaku pada ideal prima lemah kiri dengan suatu kondisi tambahan. Selain itu, penulis memberikan hasil tambahan untuk modul fraksi yang merupakan ideal hampir prima.
Harnessing Machine Learning for Crypto-Currency Price Prediction: A Review Ali, Zeravan Arif; Abdulazeez, Adnan M.
KUBIK Vol 9 No 1 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i1.33423

Abstract

Despite their recent inception, cryptocurrencies have become globally recognized for their dispersal, diversity, and high market capitalization. This volatility developed into a challenge for investors looking to predict price movements. Thus, it has become an attractive investment opportunity. To increase prediction accuracy, researchers integrate machine learning algorithms with technical indicators. In this review, a systematic comparison has been employed to identify efficient algorithms, and researchers have employed statistical measures to make short- and long-term forecasts of decentralized money prices. Moreover, the paper highlights the results of researchers based on machine learning and deep learning methodologies on multiple types of cryptocurrencies like Bitcoin, Ethereum, Monero, etc. Lastly, the work emphasizes the limitations, gaps, and challenges facing researchers to take advantage of existing literature for future works.
Penerapan Model Geographically Weighted Regression pada Data Penetapan Warisan Budaya Takbenda di Indonesia Pratomo, Firdaus Ryan; Kusuma, Dianne Amor; Ruchjana, Budi Nurani
KUBIK Vol 9 No 1 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i1.33492

Abstract

Intangible Cultural Heritage (WBTb) determination data in Indonesia is a cultural investment that needs to be preserved. One of the efforts to preserve WBTb is to determine the cultural preservation factors that influence the WBTb determination data in Indonesia. These factors include Percentage of Population Watching Performances/Art Exhibitions (PPWP), Percentage of Population Using Regional Languages (PPURL), and Percentage of Households Using Traditional Products (PHUTP). However, the different cultural wealth in each province results in spatial heterogeneity, resulting in differences in the determination of cultural preservation factors in each province. This determination can be done with the Geographically Weighted Regression (GWR) model. This study aims to apply the GWR model with Fix Gaussian Kernel, Fix Bisquare Kernel, and Fix Tricube Kernel weighting to determine cultural preservation factors in WBTb determination data in Indonesia so that it can be known what cultural preservation factors are most influential in each region. The research findings show the existence of spatial heterogeneity only in the category of WBTb designation data for Performing Arts (PA) and Oral Expression Tradition (OET), as well as different GWR models in each province that reflect differences in cultural preservation factors. Evaluation with the coefficient of determination shows that the GWR model with the Fix Gaussian Kernel weighting function is the best model for the PA category. 
Syarat Regularitas dan Eulerian Graf Unit dari Ring Z_n Kurniawan, Vika Yugi; Nisa, Lailatul Chairul
KUBIK Vol 9 No 1 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i1.33693

Abstract

Let be a ring of integers modulo and denote the set of all unit elements of the ring. The unit graph of which is denoted by is a simple graph, where the vertices of are all elements of, where two different vertices and are connected by an edge if and only if is the unit of. In this article, we will examine the properties of the unit graph of the ring. The results of this study show that is an Euler graph if where is even, and is a regular graph if is even.
Traffic Modeling in Serang City Using the Extended Link Transmission Model Rachim, Dimas Kukuh Nur; Pratiwi, B.N.; Syafrizal, R.; Toyibah, Toyibah
KUBIK Vol 9 No 1 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i1.34720

Abstract

In many countries, traffic problem has increased time by time, it has been caused by the increasing amount of vehicle and the lacking of segment road. For the example, urban traffic problem such as traffic congestion has become a big problem for drivers. This research studied urban traffic modeling using the link transmission model (LTM). The method was proposed is mathematical modeling, including car and bus as the objects of research. The cars and buses data were collected directly by the observers at the intersection that has four links and that are connected each other. The simulation process was obtained for the each link at rush hour period. At the interval 6.30-7.30am the total time spend in the link A, B, C, and D were 45.93h, 28.58h, 37.25h, and 19.91h. At the interval 04.00-05.00pm the total time spend in the link A, B, C, and D were 27.38h, 28.58h, 37.25h, and 19.91h. Based on these results, we might to give an advice to control the duration of  traffic lights that controlled traffic flow in the each link. The red traffic light duration of link A at 6.30-730am must be lower than the others so the vehicles at link A will send much better and the TTS will turn down.
Optimasi Produksi Roti Di Grace Bakery Dengan Menggunakan Integer Goal Programming Lumanaw, Joshua Apriano; Mangobi, James Uriel Livingstone; Maukar, Marvel Grace
KUBIK Vol 9 No 1 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i1.35051

Abstract

Grace bakery is a home industry in making bread. The problem experienced by Grace Bakery is that Grace Bakery has not planned to optimize bread production, this has caused losses for Grace Bakery and sales have not been maximized. This research aims to formulate a mathematical model for optimizing bread production using integer goal programming and to obtain optimization results for bread production planning using integer goal programming with the help of the Lingo application. The method used to solve this integer goal programming problem is branch and bound. By using integer goal programming, the branch and bound method and with the help of the Lingo application, the research results show that Grace Bakery must produce 3993 chocolate breads, 1334 cheese breads and 4237 mocha breads every month so that Grace Bakery will earn a maximum income of Rp. 17.280.000. Revenue will reach optimal results if all the bread is sold out and there is no increase in raw materials. Grace bakery can also reduce production costs to Rp. 11.670.092,5 every month.
Model Konvensional Satu Titik untuk Mengoptimalkan Masalah Transportasi Fuzzy Trapesium Mujtaba, A; Syariah, Ai Munirotusy; Patimah, Ain Fitriyani; Wulan, Elis Ratna
KUBIK Vol 9 No 1 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i1.35949

Abstract

Solving fuzzy trapezoidal transportation problem can use a one-point approach to obtain the optimal solution. The one-point method transforms the four points of the trapezoidal number into crisp transportation problems. This method comes with a minimum approach of supply and demand. In the end, these solutions are combined to obtain the optimal solution. The modified distribution is applied to each crisp problem to develop an optimal solution. The presented scheme is compared with competitive methods available in the literature and found to have good coordination with these methods. 
Penerapan Dragonfly Optimization Algorithm (DOA) untuk Menyelesaikan Fixed Charge Transportation Problem (FCTP) Paojiyah, Ai Nuri Siti; Az'zahra, Aliffia Putri; Aulia, Viananda Farisqa; Wulan, Elis Ratna
KUBIK Vol 9 No 2 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i2.35962

Abstract

Transportasi berperan penting dalam kegiatan sehari-hari terutama di dunia industri modern untuk pendistribusian barang atau jasa. Faktor yang mempengaruhi transportasi adalah biaya transportasi, salah satunya biaya tetap. Artikel ini menyelesaikan masalah transportasi biaya tetap atau Fixed Charge Transportation Problem (FCTP) dengan mengimplementasikan Dragonfly Optimization Algorithm (DOA) atau algoritma capung. Metode algoritma capung terinspirasi oleh kecerdasan atau perilaku hidup capung dalam mengetahui jalur optimal untuk mencapai tujuan yang diinginkan. Tujuan dari artikel ini adalah untuk menganalisis tahapan-tahapan pengerjaan algoritma capung berdasarkan masalah transportasi biaya tetap agar dapat meminimalkan biaya transportasi dalam pendistribusian barang. Penelitian dengan menggunakan systematic literature review menghasilkan langkah-langkah algoritma capung untuk FCTP adalah inisialisasi, evaluasi kebugaran populasi awal, menentukan jumlah iterasi maksimum, distribusi solusi ke lingkungan sekitar, menentukan sumber makanan dan musuhnya, solusi terbaik di setiap lingkungan, menjalankan operasi algoritma capung, ulangi hingga jumlah iterasi maksimum terpenuhi, dan kembali ke rencana transportasi optimal.
Investigating Employment Delays: A Multiple Classification Analysis of Job Search Duration among Graduates in Islamic Community Development Afifah, Puspa Nur; Rahmadhani, Nadya; Rifqi, Syehabu
KUBIK Vol 9 No 2 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i2.36256

Abstract

Indonesia is facing big challenges: an overabundance of graduates and limited job prospects. In February 2022, the central statistics agency provided a clear picture, more than 13 million people have a bachelor's degree in Indonesia and the number of unemployed is 8.4 million people. Banten Province is ranked first in the unemployment rate in Indonesia, namely 8.53%. The aim of this research is to determine the factors that influence the length of job search for graduates of the Islamic Community Development Program at UIN Sultan Maulana Hasanuddin Banten. The analytical method used is Multiple Classification Analysis (MCA), this research investigates the influence of variables, such as gender, length of study, GPA, organizational experience, academic achievement, work experience, employment sector, and foreign language proficiency. The research results show that there is a significant relationship between length of study, GPA, work experience, and length of job search. The ANOVA test shows that these three variables have a low significance level (
Penerapan Regresi Binomial Negatif Dalam Menganalisis Faktor-Faktor Yang Mempengaruhi Kasus Angka Kematian Ibu Di Indonesia Hutabarat, Ida Mariati; Kelirey, Rifky Ibrahim; Chairani, Ikfina
KUBIK Vol 10 No 1 (2025): IN PRESS
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

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

Abstract

Angka Kematian Ibu (AKI) adalah indikator yang menggambarkan jumlah kematian perempuan yang diakibatkan oleh komplikasi selama kehamilan, persalinan, dan masa nifas per 100.000 kelahiran hidup. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi angka kematian ibu di Indonesia berdasarkan data dari Profil Kesehatan Tahun 2022. Data mengalami overdispersi, sehingga analisis dilanjutkan dengan menggunakan regresi binomial negatif. Penelitian ini mempertimbangkan lima variabel prediktor yaitu Persentase Cakupan Pelayanan Kesehatan (K4), Persentase Cakupan Pelayanan Kesehatan (K6), Persentase Cakupan Imunisasi Td2+ pada Ibu Hamil, Persentase Ibu Hamil yang Mendapatkan Tablet Tambah Darah (TTD), dan Persentase Ibu Nifas yang Mendapatkan Vitamin A. Hasil analisis menunjukkan bahwa Persentase Cakupan Pelayanan Kesehatan (K6) merupakan variabel yang secara signifikan mempengaruhi angka kematian ibu. Nilai Akaike Information Criterion (AIC) dari model ini adalah sebesar 375,75, dengan tiga variabel prediktor yang signifikan. Penelitian ini mengindikasikan bahwa peningkatan cakupan pelayanan kesehatan (K6) berhubungan positif dengan peningkatan angka kematian ibu. Hal ini menunjukkan bahwa peningkatan cakupan pelayanan kesehatan (K6) yang tidak diimbangi dengan kualitas pelayanan dapat berkontribusi pada peningkatan angka kematian ibu. Oleh karena itu, kebijakan kesehatan yang berfokus pada peningkatan cakupan harus disertai dengan peningkatan kualitas pelayanan kesehatan untuk mengurangi angka kematian ibu di Indonesia.

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