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Pieter Agusthinus Riupassa
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Pattimura Proceeding : Conference of Science and Technology
Published by Universitas Pattimura
ISSN : -     EISSN : 28293770     DOI : https://doi.org/10.30598/PattimuraSci.2021.KNMXX
Core Subject : Science, Education, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Energy Engineering Materials Science & Nanotechnology Mathematics Physics
This journal is created to archieve collection of publications from a national or international seminar at Pattimura University for Science, Technology, and Its Applications
Arjuna Subject : Umum - Umum
Articles 6 Documents
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Search results for , issue "2023: Prosiding KNM XXI" : 6 Documents clear
Application of Markov Chain in Predicting Sugar Production at Candi Baru Sugar Factory, Sidoarjo Agustina Pradjaningsih; Ardelia Nani Vidatiyasa; Kiswara Agung Santoso
Pattimura Proceeding 2023: Prosiding KNM XXI
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/PattimuraSci.2023.KNMXXI.1-8

Abstract

Granulated sugar is a sugar commonly used daily to manufacture food and beverages. The demand for granulated sugar continues to increase, but the number of sugar factories and the area of ​​sugar cane in Indonesia is decreasing. This causes a gap between the demand for sugar which continues to increase, and the production of granulated sugar continues to decline, resulting in Indonesia being the largest country importer of sugar. The imbalance between the demand and production of granulated sugar At Candi Baru Sugar Factory, Sidoarjo, East Java, resulted in not achieving the target to meet these needs. Therefore, predictions are made to get an overview of production planning to optimize granulated sugar production so that sugar needs can be met. The prediction method used at the Candi Baru sugar factory, Sidoarjo, East Java, for the 2022 milling period is the Markov Chain method with a four-state divisor, namely drastically down, down, up, and up drastically. The application of Markov Chains produces predictions for each state. It is predicted that the production of sugar with the highest percentage for May – December upstate.
Application of MDS Codes in Solving Problem of Distributing Exam Questions Ricky Aditya
Pattimura Proceeding 2023: Prosiding KNM XXI
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/PattimuraSci.2023.KNMXXI.9-16

Abstract

In online learning, giving an objective assessment is quite tricky task. Most of exams in online learning are done as take-home exams. Unlike in face-to-face onsite class, in which the students can be observed directly when doing the exam, in online class the students have chance to cheat and work together to gain unfair advantage. To tackle this, the teachers need to modify the exam format. One possible solution is to create some variations of exam questions and distribute them to the students such that they do not get the same set of questions. However, we cannot create too many variations since it would make the grading process more difficult for the teacher. Thus, we need to find an optimal way to do so. In this article, we will discuss how Maximum Separable Distance (MDS) Codes in coding theory can be applied to provide a solution for this problem. Moreover, distribution patterns for class of size 27, 64 and 125 students will also be presented.
Galois Group Correspondence On Extension Fields Over Q Novita Dahoklory; Henry W. M. Patty
Pattimura Proceeding 2023: Prosiding KNM XXI
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/PattimuraSci.2023.KNMXXI.17-28

Abstract

Let be an extension field where denotes dimension of as a vector space over . Let be the group of all automorphism of that fixes where the order of is denoted by . Particularly, an extension field is called a Galois extension if . Moreover, we will give some properties of an extension field which is a Galois extension. Using the properties of Galois extension, we will show that there is an one-one correspondence between the set of all intermediate fields in and the set of all subgroups in . Furthermore, we will give some examples of Galois group correspondence using an extension field over .
Hipergrup dan Komputasi Grup Fundamental dari Hipergrup Berhingga Soleha Soleha; Subiono Subiono
Pattimura Proceeding 2023: Prosiding KNM XXI
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/PattimuraSci.2023.KNMXXI.29-34

Abstract

Hipergrup adalah salah satu topik menarik yang banyak perekmbangannya saat ini. Selain mempelajari subhipergrup, terdapat matematikawan yang mengkomputasi hipergrup berhingga. Misalkan adalah hipergrup dan adalah relasi fundamental pada , yaitu, relasi ekivalen terkecil pada sedemikian hingga adalah grup faktor. Pada paper ini akan dikaji komputasi grup fundaemntal dari hipergrup berhingga yang diberikan. Langkah pertama adalah mendapatkan sifat-sifat aljabar untuk mendapatkan kelas ekivalen dari relasi fundamental dan selanjutnya diperkenalkan suatu algoritma untuk mengkomputasi kelas-kelasnya tersebut.Selain itu, berdasarkan algoritma ini, dikembangkan suatu aplikasi untuk mengkonstruksi kelas-kelas ekivalen dari dan selanjutnya mengkomputasi grup fundmental . Lebih jauh, digunakan sub-program untuk mengkonstruksi seluruh hiperoperasi, kuasihipergrup, hipergrup yang berkardinalitas kurang dari atau sama dengan tiga dan medapatkan grup fundamentalnya. Yang terakhir, diberikan algoritma dan program disertai beberapa contoh terkait komputasi grup fundamental dari hipergrup dengan order yang berbeda-beda. Metode yang digunakan adalah studi literatur.
The Stock Price Prediction Formula Using the Concept of Equality in the Amount of Data Between the Average Difference of Order One and Two at Levels n and n+1 Stephanus Ivan Goenawan; Kumala Indriati; E. Yosephan Christanto Milano
Pattimura Proceeding 2023: Prosiding KNM XXI
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/PattimuraSci.2023.KNMXXI.35-45

Abstract

Technological developments are getting faster, as is the dissemination of existing information, especially on the capital market. In order for investors to avoid losses from the capital market, a method is needed that is able to analyze the movement of the stock price. This study focuses on the application of the Data Scales Analysis (DSA) method which uses a formula with the concept of the same amount of data between the first and second order average differences at levels n and n + 1 for predicting the stock price of issuers, in predicting stock prices in the capital market. The resulting formula is named JIC-FLY 2 which is a new formula used to predict stock prices in the capital market. The population used in this study are issuers who are members of IDX 30 from the banking sub-sector with the sample used is the issuer of BBCA (PT Bank Central Asia Tbk). The results of this study note that the DSA method with this formula is able to produce the best predictive value, namely DSA 12 with an error percentage of 0.035%.
Mathematical Problem-Solving Ability of Rational Personality Students Jumrah Jumrah
Pattimura Proceeding 2023: Prosiding KNM XXI
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/PattimuraSci.2023.KNMXXI.46-53

Abstract

This study aims to describe the ability of students who have personality tendencies in solving mathematical problems. This research is an exploratory study with a qualitative approach. Data was collected by giving problem solving ability tests and interviews to two subjects with rational personalities. Students' personalities were categorized based on David Keirsey's personality classification test, namely Artisan, Guardian, Idealist, and Rational. The results showed that (1) understanding the problem, in understanding the problem the subject visualized the information, this was in accordance with the characteristics of Rational who always needed something to help him in concretizing his ideas or thoughts through something, for example through pictures. (2) develop a strategy/completion plan, a) in formulating a strategy, the subject uses all the information and assumptions obtained from the problem and uses it to plan problem solving, b) in compiling a problem-solving plan, the subject does not write down the solution plan clearly, he only writes things that he deems necessary, according to his personality which has less intrapersonal ability so that they always do things as they please not based on generally agreed rules. (3) carry out the plan of completion, the subject always solves the problem according to the plan he has drawn up, this is indeed a characteristic of Rational who always does everything based on the goals he has set. (4) re-check, the subject checks the results of his work. This is in accordance with SR's personality which does not tolerate the slightest error.

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All Issue Vol 5 No 1 (2024): Prosiding Konferensi Nasional matematika (KNM) XXII Tahun 2024 2023: PROCEEDING: THE 2ND INTERNATIONAL CONFERENCE ON BUSINESS AND ECONOMICS 2023: Prosiding KNM XXI 2022: PROSIDING SEMINAR NASIONAL DPD HIMPUNAN ALUMNI IPB MALUKU 2021: Prosiding KNM XX 2020: PROSIDING SEMINAR NASIONAL KELAUTAN DAN PERIKANAN 2019 2017: Proceedings of the 3rd International Seminar of Basic Science