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All Journal Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam (JURRIMIPA) Pentagon: Jurnal Matematika dan Ilmu Pengetahuan Alam Bilangan: Jurnal Ilmiah Matematika, Kebumian dan Angkasa Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa Konstanta : Jurnal Matematika dan Ilmu Pengelatuan Alam
Rika Hanifah Tanjung
Unknown Affiliation
Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Earth & Planetary Sciences Immunology & microbiology Mathematics

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Optimalisasi Pemahaman Matematika Santri MTs Swasta Darularafah dengan Sistem Pendukung Keputusan Berbasis VIKOR Khairunnisa Ani Putri; Sofiah Aini; Rika Hanifah Tanjung; Nursakila Ena Anjani
Pentagon : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 3 No. 3 (2025): September : Pentagon : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/pentagon.v3i3.766

Abstract

Modern Islamic boarding schools not only focus on religious education, but are also required to improve the academic quality of students, including in mathematics subjects which are often challenging due to differences in students' learning styles, motivations, and abilities. This study aims to design and implement a Decision Support Sistem (DSS) based on the VIKOR method to analyze students' mathematical understanding and provide recommendations for more adaptive learning strategies. The study uses a descriptive quantitative approach with data obtained through documentation of students' grades, as well as interviews with mathematics teachers. The VIKOR method is used to evaluate students' understanding based on five main criteria, namely exam scores, report card scores, attendance, attitudes and behavior, and skills, through a process of normalization, weighting, calculation of S, R, and Q scores, and ranking students. The results show that there are five students with the lowest level of mathematical understanding, namely A11, A4, A17, A1, and A12, who have the lowest VIKOR index scores. This low level of understanding is influenced by factors such as learning attitudes, attendance, report card scores, and skills, so they require further attention and guidance from teachers. The application of the VIKOR method in SPK has proven effective in optimizing the analysis of students' mathematics achievements and providing recommendations for more targeted personal learning strategies, thereby helping to improve the quality of education and maximize students' academic potential.
Optimisasi Hasil Produksi Snack Khas Tebing Syahbandar Menggunakan Metode Integer Linear Programming dengan Branch and Bound Rika Hanifah Tanjung; Muhammad Kurniawan; Afrini Yuninda Silitonga; Nisrina Ardra Hafizha; Nurlian Augustin Ningrum
JURNAL RISET RUMPUN MATEMATIKA DAN ILMU PENGETAHUAN ALAM Vol. 4 No. 2 (2025): Agustus: Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrimipa.v4i2.6794

Abstract

Micro, Small, and Medium Enterprises (MSMEs) are strategic sectors in the Indonesian economy, but often face challenges in efficient and data-driven production management. This article highlights the urgency of the Real Work Lecture (KKN) program as a form of student service in assisting MSMEs, especially in optimizing the production of snacks typical of Tebing Syahbandar. This research aims to optimize the production output of the Untir-untir Titik Factory with an Integer Linear Programming (ILP) approach using the Branch and Bound algorithm. Primary data is obtained through interviews and production documentation, including product type, raw material needs, operational costs, selling prices, and profit margins. The initial analysis was carried out using the simplex method using POM QM software to obtain a linear solution, which was then refined with the Branch and Bound algorithm so that the results were in the form of integers. The results of the study showed that the optimal solution was achieved by producing 25 bales of kolong-kounder and not producing other types of snacks, resulting in a profit of Rp1,650,000 per day. These findings show that the ILP approach with Branch and Bound is able to significantly increase the efficiency and profitability of MSMEs. In addition, this method can be used as a basis for quantitative-based production decision-making. This research also emphasizes the strategic role of KKN in technology transfer and real solution-based assistance for MSME actors in the region, thereby supporting the sustainable strengthening of the local economy.
Sistem Pendukung Keputusan menggunakan Metode SMARTER pada Pemilihan Guru Terbaik di SMP Swasta Darularafah Raya Rika Hanifah Tanjung; Nursakila Ena Anjani; Sofiah Aini; Khairunnisa Ani Putri
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 3 No. 3 (2025): September : Jurnal Matematika dan Ilmu Pengelatuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v3i3.5625

Abstract

The internship program is designed to introduce students to the practical application of the theories and knowledge they have acquired during their studies in a real work environment. This activity was conducted at SMP Swasta Galih Agung, an educational institution under the Darularafah Raya Islamic Boarding School Foundation, which aims to develop pious, skilled, and technologically literate students with strong physical and intellectual abilities. At the beginning of the odd semester of the 2023–2024 academic year, the number of female students enrolled was 470, but by the end of the semester, it had decreased to 455, representing a 0.96% decline. The purpose of this study is to perform a ranking analysis for selecting the best teacher based on expertise and teaching performance. The research employs the SMARTER (Simple Multi-Attribute Rating Technique Exploiting Ranks) method, combined with ROC (Rank Order Centroid) weighting and sensitivity analysis to measure the accuracy of ranking results. The findings show that the teacher with code T10 achieved the highest score of 0.521, followed by T7, T1, T2, T5, T11, T12, T8, T4, T9, T6, and T3, with the lowest score being 0.310. The lowest sensitivity value of 0 indicates the most optimal weighting result. The decision support system designed using questionnaires and Excel simplifies data input and assists the principal in making objective and efficient decisions.
Penerapan Metode Oreste pada Sistem Pendukung Keputusan dalam Pemilihan Alasan Terbaik Diyah SMP Galih Agung Memilih Persantren Darularafah Raya Nursakila Ena Anjani; Rika Hanifah Tanjung; Sofiah Aini; Khairunnisa Ani Putri
Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa Vol. 3 No. 5 (2025): Oktober : Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bilangan.v3i5.803

Abstract

N the rapidly evolving digital era, decision-making has become a critical aspect across various fields, including education, where choices such as selecting an Islamic boarding school (pondok pesantren) are often influenced by complex and subjective factors. This study addresses the dilemma faced by Diyah, a junior high school student, in determining the best reasons for choosing Pondok Pesantren Darularafah Raya, highlighting the limitations of manual, personal-based processes that fail to systematically consider measurable criteria like educational quality, learning environment, facilities, discipline, and instilled religious values. The advancement of information technology provides a solution through Decision Support Systems (DSS), utilizing the ORESTE (Organization, Rangement Et Synthèse De Données Relationnelles) method, which effectively processes ordinal data to produce objective rankings based on subjective yet structured preferences. Unlike other methods such as SAW or AHP that rely on numerical data, ORESTE emphasizes relative preference weights, making it suitable for individual decision-making contexts like educational choices. The novelty of this research lies in applying ORESTE in a DSS focused on analyzing an individual's best reasons for selecting a pesantren, aiming to reduce subjective bias and enhance rationality. The primary objective is to develop a DSS using the ORESTE method to analyze and determine Diyah's optimal reasons for choosing the pesantren. Through this, the system is expected to accelerate evaluation processes, improve objectivity, and identify dominant factors influencing educational decisions. Findings from the implementation demonstrate accurate rankings that prioritize key criteria, leading to more efficient and data-driven outcomes. Implications include aiding students, schools, and educators in understanding influential factors, fostering objective assessment systems, and serving as a reference for future studies integrating MCDM methods with computer-based systems in personalized educational decision-making.
Strategi Cerdas Menilai Generasi Berprestasi: Penerapan Sistem Pendukung Keputusan PROMETHEE di MTs Swasta Darularafah Raya Sofiah Aini; Khairunnisa Ani Putri; Rika Hanifah Tanjung; Nur Sakila Ena Anjani
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 6 (2025): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v3i6.786

Abstract

The assessment of student achievement is one of the main indicators in measuring the effectiveness of the educational process in Islamic boarding schools. The assessment process that has been carried out manually tends to be subjective, so it has the potential to cause a discrepancy between the student's achievement and the results of the evaluation received. This research aims to develop a decision support system that is able to assess student achievement in an objective, measurable, and transparent manner by applying the PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation) method. This method is used because it has the ability to manage various assessment criteria simultaneously to produce fair and rational alternative rankings. The research approach used is quantitative descriptive by involving a number of students as research samples. The data was analyzed through the stages of determining weight, calculating preference values, and determining the values of leaving flow, entering flow, and net flow as the basis for determining the final ranking. The results of the study show that the PROMETHEE method can provide consistent and accurate ranking results, by placing students who have academic excellence, discipline, and positive personalities in the top position. These findings prove that the PROMETHEE method is effective in overcoming the subjectivity of the assessment and increasing the transparency of the evaluation process. Practically, the resulting system can help the pesantren in determining outstanding students more efficiently and based on data, as well as theoretically strengthen the application of multicriteria decision-making methods in the context of Islamic education.’
Co-Authors Afrini Yuninda Silitonga Khairunnisa Ani Putri Muhammad Kurniawan Nisrina Ardra Hafizha Nur Sakila Ena Anjani Nurlian Augustin Ningrum Nursakila Ena Anjani Sofiah Aini