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SCIENCE MATH
Published by PT Innovative Academic Journals
ISSN : -     EISSN : -     DOI : -
Core Subject : Science, Education,
Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Mathematics Physics
SCIENCE MATH: Jurnal Ilmu Sains dan Matematika (ISSN: XXXX-XXXX) is an open-access, peer-reviewed journal published by PT Innovative Academic Journals. Our journal is dedicated to advancing research and scholarship in the fields of science and mathematics by providing a platform for academics, researchers, and professionals to publish original research articles, review articles, and case studies. We are committed to maintaining the highest standards of academic integrity and quality. Each submission undergoes a double-blind peer review process, ensuring that both the reviewers and authors remain anonymous to each other. This process guarantees objectivity and fairness in the evaluation of manuscripts, enhancing the quality of published content. The scope of SCIENCE MATH covers a wide range of topics within the scientific and mathematical disciplines, including but not limited to: Pure and Applied Mathematics Physics and Physical Sciences Chemistry and Biochemistry Biology and Life Sciences Computational and Theoretical Studies Interdisciplinary research that connects science and mathematics We publish original research articles, case reports, and systematic reviews two times a year (January and July), both in Indonesian and English. Our aim is to contribute significantly to the scientific community by disseminating high-quality research that has a substantial impact on the development of science and mathematics. SCIENCE MATH is indexed in several reputable databases, and we are continuously working towards improving our ranking within national and international indexing systems. By providing free access to our content, we ensure that the latest research is widely disseminated and accessible to scholars and practitioners globally.
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 1 No. 2 (2025): May" : 5 Documents clear
GENERATOR POLYNOMIAL OF IDEAL IN POLYNOMIAL RING AND ITS RELEVANCE TO CYCLIC CODE Tuhfatul Janan; Syifaul Janan; Sri Wigantono
SCIENCE MATH: Jurnal Ilmu Sains dan Matematika Vol. 1 No. 2 (2025): May
Publisher : PT Innovative Academic Journals

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1234/65pgb009

Abstract

Cyclic codes were discovered by Prange in 1957. They have served as the foundation for the development of modern coding theory, such as Hamming codes, Golay codes, Reed-Solomon codes, and others. Cyclic codes are closely related to generator polynomials of a polynomial ring. This research uses a literature review method using relevant international articles and books. The research will revisit several aspects of Ling and Xing's work on generator polynomial of ideal in polynomial ring and its relevance to cyclic code. Furthermore, detailed explanations will be provided along with several examples.
HYBRID ALGORITMA BAT DAN HARMONY SEARCH UNTUK MENYELESAIKAN DYNAMIC TRAVELLING SALESMAN PROBLEM Irvayanto Akbar Pamungkas
SCIENCE MATH: Jurnal Ilmu Sains dan Matematika Vol. 1 No. 2 (2025): May
Publisher : PT Innovative Academic Journals

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1234/7spzr633

Abstract

This research aims to solve the Dynamic Travelling Salesman Problem (DTSP) using hybrid Bat algorithm and Harmony Search. Dynamic Travelling Salesman Problem (DTSP) which is a development of Travelling Salesman Problem (TSP) of which is a problem that aims to find the route with shortest distance in visiting several cities. In DTSP, the cities that should be visited can be changed any time. This changed can be the addition of cities or the deletion of cities that should be visited. Bat Algorithm (BA) is a an optimization method inspired by the echolocation behavior of bats act as a signal system to sense distance and location of prey. Harmony Search Algorithm (HSA) is an optimization method that is based on natural musical performance processes that occur when a musician searches for an optimal state of harmony. The hybrid Bat algorithm and Harmony Search can be applied to solve the Dynamic Traveling Salesman Problem (DTSP) with 9 steps, starting from parameter initialization to updating the cities.
PENERAPAN HYBRID DISCRETE CAT SWARM OPTIMIZATION DAN SIMULATED ANNEALING UNTUK MENGOPTIMALKAN TRAVELLING SALESMAN PROBLEM Gregorius Yoga Daru Narendra
SCIENCE MATH: Jurnal Ilmu Sains dan Matematika Vol. 1 No. 2 (2025): May
Publisher : PT Innovative Academic Journals

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1234/ey7nfz32

Abstract

The Travelling Salesman Problem (TSP) is one of the well-known problems in operational research. This problem arises in various applications such as telecommunications, electronics, logistics, transportation, astronomy, industry, and so on. The TSP involves a salesman who must visit all cities, with each city being visited exactly once, and the salesman must start and return to the origin city. The goal is to determine the route with the minimum travel distance or total cost. Cat Swarm Optimization (CSO) is an optimization algorithm based on the natural behavior of cats. This behavior is modeled in two submodels: the seeking mode and the tracing mode. Discrete Cat Swarm Optimization (DCSO) is a version of CSO that uses integer encoding. Simulated Annealing (SA) is a method used to find the global minimum of a cost function that may have local minima. SA works by mimicking a physical process in which a solid is slowly cooled so that, eventually, the structure freezes into a configuration with the minimum energy. Since the solutions produced by the DCSO algorithm may get trapped in a local optimum, and SA is capable of finding the global minimum of a solution from a local minimum, this research aims to solve the TSP by combining (hybridizing) both the DCSO and SA algorithms. The hybrid process is carried out by performing the SA process after the DCSO iterations, except for the final iteration. The hybrid process of DCSO and SA begins with the initialization of parameters, input data, followed by the seeking mode and tracing mode. The worst result from DCSO will then be processed using the SA algorithm.
KARAKTERISASI ISOLAT LOKAL Bacillus sp. POTENSIAL SEBAGAI BIOLARVASIDA HASIL ISOLASI DARI LARVA NYAMUK DAN ENDAPAN TEMPAT PERINDUKAN NYAMUK Aedes aegypti Mufida Utami Rizka
SCIENCE MATH: Jurnal Ilmu Sains dan Matematika Vol. 1 No. 2 (2025): May
Publisher : PT Innovative Academic Journals

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1234/esp57408

Abstract

Application of chemical insecticides as a DHF vector control has some negative impact so it needs to be handled by aplication of bioinsectisides from potential bacterias one of which is bacterias from genus Bacillus. This research aims to find out the characteristics of potential Bacillus that isolation from mosquito larvae and sediment breeding places of Aedes aegypti which has been potential tested and has the highest mortality to Aedes aegypti larvae, so the species of Bacillus that can be used to bionsectisides can be known. Characterization in this research involved macroscopic characterization, microscopic characterization, and physiological characterization from each isolate from the results of isolation in Aedes aegypti larvae and sediment breeding places of Aedes aegypti, which is then the percentage of similarities index with comparable coefficient calculated between isolate of bacillus were isolated and species of bacillus in the reference book Bergey’s Manual of Systematic Bacteriology 2nd edition, so the species name of Bacillus was obtained. Isolate EG6(4), ES7(3), and LS9(1) is Bacillus thuringiensis with each similarity percentage 80,6%, 78,12%, and 62,5%, while isolate ES4(3), LSDA4(2), and LS3(3) is Bacillus sphaericus with each similarity percentage 71,4%, 82,6%, and 63,3%. In this case, molecular characterization is still needed to ensure more about the species name of each isolates.
ANALISIS KESTABILAN MODEL PENYEBARAN FLU BURUNG TERHADAP POPULASI UNGGAS Syifaul Janan; Tuhfatul Janan; Fani Firmansyah; Didi Harlianto; Nicky Yongkimandalan
SCIENCE MATH: Jurnal Ilmu Sains dan Matematika Vol. 1 No. 2 (2025): May
Publisher : PT Innovative Academic Journals

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1234/1ccn7t70

Abstract

This research aims to analyze Avian Influenza spread model around the equilibrium point. The population discussed is the poultry population which consists of two sub-populations, namely susceptible and infective. The method used is literature study through reference books and scientific articles related to the models. Then, the mathematical model, equilibrium point, and model stability were calculated. The results of calculations were made into a simulation model using Matlab and Maple software. It was found that there was an Avian Influenza virus spread to the poultry population which was influenced by several factors, namely birth, natural death, death due to infection, and migration (movement).

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