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All Journal ZERO : Jurnal Sains, Matematika dan Terapan Desimal: Jurnal Matematika Jurnal Pendidikan Matematika (JUDIKA EDUCATION) M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Imajiner: Jurnal Matematika dan Pendidikan Matematika MES: Journal of Mathematics Education and Science Jurnal Absis : Jurnal Pendidikan Matematika dan Matematika Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Journal of Computer Networks, Architecture and High Performance Computing Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Jurnal IPTEK Bagi Masyarakat Journal of Mathematics and Scientific Computing With Applications Journal of Information Systems and Technology Research Jurnal Informatika Teknologi dan Sains (Jinteks) Bulletin of Applied Mathematics and Mathematics Education DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Jurnal Garuda Pengabdian Kepada Masyarakat

Rina Filia Sari, Rina Filia

Fakultas Sains dan Teknlogi UIN Sumatera Utara Medan

Author-ID : 620565

Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Sistem Pendukung Keputusan Dengan Menggunakan Metode ELECTRE II Dalam Menentukan Faktor Yang Mempengaruhi Pemilihan Sabun Mandi Fazariani, Nabila; Sari, Rina Filia; Aprilia, Rima
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 12 Issue 2 December 2024
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v12i2.25851

Reviewed and with the increasing public awareness of skin health, soap manufacturers are competing to offer their products with various fragrances, forms, and benefits to the public. Each individual certainly has different criteria in choosing bath soap products, such as packaging, product price, product fragrance, type and form, and so on. The purpose of this research is to determine the factors that serve as the basis for each individual in choosing bath soap products by implementing the Elimination et Choix Traduisant la Réalité II (ELECTRE II) method. The ELECTRE II method uses simple criteria, namely setting the same threshold value for all criteria. In contrast, other methods use pseudo criteria where the threshold value is not the same for all criteria. The ELECTRE II method is one of the Multi-Attribute Decision Making (MADM) methods that is effective in determining ranking, as it involves both qualitative and quantitative criteria. Based on the research results, product quality becomes the priority factor in choosing bath soap products, with a Concordance value of 1.375 and a Discordance value of -1.80063, as well as the highest average rank, which is 1. The product price factor ranks second, followed by the skin condition factor in third place, and the product fragrance factor, which ranks last with an average rank of 4.

Forecasting Indihome Users By Using Trigonometrics, Box Cox, Transformation, Arma Error, Trend, And Seasonal (TBATS) Methods Hutagalung, Alya Azhrah; Sari, Rina Filia
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 9 No. 1 (2024): Mathline: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v9i1.579

The rapid growth in the use of telecommunication services, particularly IndiHome, has created a pressing need to comprehend and forecast the dynamics of user growth. The swift development of IndiHome services in Pematangsiantar underscores the importance of efficiently forecasting and managing user growth. This research aims to predict future IndiHome users using the TBATS method (Trigonometrics, Box Cox Transformation, Arma Error, Trend, and Seasonal). User data for IndiHome services were obtained from Telekomunikasi Indonesia (Telkom) Pematangsiantar. The collected data underwent analysis and interpolation using the TBATS method. The choice of the TBATS method is attributed to its capability to handle complex patterns of seasonality, trends, and variability in telecommunication service usage data. The TBATS method involves model optimization and model validation using the Mean Absolute Percentage Error (MAPE). The forecasted results for IndiHome users in the next 5 years, with the highest IndiHome users reaching 426,9432, indicate a reasonable forecasting performance. The accuracy of the forecast, as measured by the MAPE calculation, ranges around 30.5%, signifying that the TBATS method demonstrates a satisfactory forecasting capability for IndiHome user data.

INFLATION RATE ESTIMATION USING HYBRID ARIMA-ADAPTIVE NEURO FUZZY INFERENCE SYSTEM METHOD Annisa, Nur Alvi; Sari, Rina Filia
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5534

Inflation is an important issue that affects the economic stability of a country or region. Unstable inflation will have a negative impact on society, especially on commodity prices including food and energy. Inflation is classified as a time series and will usually recur over time, five years later, or ten years later. , the problem of inflation needs to be studied and analyzed using existing approaches in time series. This research focuses on the application of Hybrid ARIMA-Adaptive Neuro Fuzzy Inference System method for inflation estimation, which is expected to provide a more accurate picture of the price fluctuations of basic needs in North Sumatra. Overall, the results show that the ability of the Hybrid ARIMA-Adaptive Neuro Fuzzy Inference System method in estimating inflation values is quite good with the results tending to be stable and not experiencing many sharp fluctuations. The inflation value is in the range of around -2.69 to -2.73 throughout the predicted period. However, a continuous negative number indicates a price decline or economic pressure, so further analysis or development is needed to understand the cause. The estimation results may help to maintain stability or make desired changes in the future.

Mengukur Tingkat Efektivitas Google Drive Dengan Uji Chi Square Dan Cramer (C) Dalam Pengarsipan Dokumen Amdal Hutagalung, Alya Azhrah; Rahayu, Atika; Anggitasyah, Debi; Yunisa, Fahira Audri; Andini, Qonita Putri; Sari, Rina Filia
Jurnal Garuda Pengabdian Kepada Masyarakat Vol 1 No 1 (2023)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/gabdimas.v1i1.600

Badan Lingkungan Hidup Provinsi Sumatera Utara adalah suatu dinas pada Pemerintah Provinsi Sumatera Utara yang bertugas melaksanakan segala tugas yang berkaitan dengan lingkungan hidup yang berada di bawah kewenangan dan tanggung jawab bantuan provinsi. Tantangan yang dimiliki Dinas Lingkungan Hidup Sumut adalah bagaimana mengelola dokumen AMDAL berupa file softcopy dengan menggunakan media penyimpanan Google Drive. Dalam upaya mengukur sejauh mana Google Drive berhasil sebagai media penyimpanan dokumen, mereka menggunakan Uji Chi Square dan Cramer Test (C), uji Cramer (C) digunakan untuk mengukur tingkat hubungan atau korelasi antara dua data. variabel dalam skala nominal, sedangkan uji Chi-square berguna untuk menguji hubungan atau pengaruh dua variabel dan mengukur kekuatan hubungan antara satu variabel dengan variabel lainnya. Nilai prediksi untuk setiap sel akan dicari di tabel kontingensi karena korelasi kontingensi dan Chi-Square berhubungan erat.

FORECASTING THE NUMBER OF COVID-19 SUFFERERS IN NORTH SUMATRA USING THE AUTOMATIC CLUSTERING FUZZY TIME SERIES MARKOV CHAIN METHOD Siregar, Anggi Ramadany; Sari, Rina Filia; Widyasari, Rina
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 2 (2021)
Publisher : Pena Cendekia Insani

Corona virus is a virus that is currently endemic throughout the world, including in Indonesia, one of which is in North Sumatra Province, because this virus has claimed many victims. North Sumatra Province in positive cases of Covid-19 is ranked 13th out of 34 provinces in Indonesia. The government's anticipation in handling Covid-19 cases is by forecasting the number of positive Covid-19 cases. One of the methods used to forecast Covid-19 sufferers is the Automatic Clustering Fuzzy Time Series Markov Chain method. The Fuzzy Time Series Markov Chain method is used to resolve the deviation value from a forecasted value, while Automatic Clustering is used to determine the length of the interval by grouping numerical data. Then the error calculation will be carried out using the Mean Absolute Percentage Error (MAPE) to determine the level of accuracy of the forecasting model that has been made. The parameter used in this study is the number of Covid-19 sufferers. The results of this study from data on the number of Covid-19 sufferers have a MAPE value of 4.53%. The MAPE value which is less than 10% means that the forecasting of this study has very good criteria. So the Automatic Clustering Fuzzy Time Series Markov Chain method is very good to be applied in forecasting the number of Covid-19 sufferers in North Sumatra Province.

APPLICATION OF LEAN SIX-SIGMA METHOD AND DEMERIT CHART TO MINIMIZE DEFECTIVE PRODUCT Novia, Ayu; Sari, Rina Filia; Widyasari, Rina
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 2 (2021)
Publisher : Pena Cendekia Insani

uality control is a form of inspection using certain techniques or methods in decision-making to get the quality standards that have been determined. One type of quality control is using the method of Lean Six Sigma to identify and eliminate waste in activities that are not worth the added value through a continuous increase to reach the level of Six Sigma, then use the demerit control chart as a monitor of the production process. The purpose of the study was to find out how to minimize defects in the 220ml Aqua cup mineral water packaging with the method of Lean Six Sigma and Demerit control chart. With the analysis that has been done, it is known that in the 220ml Aqua Cup product the DPMO value for defects in the 220ml AQUA Cup production process is 22912.83, which is the level of sigma is 3.43 and the process capabilities value is 0.77087 which mean that it still needs a process control for minimizing the product defects.

IMPLEMENTATION OF SUGENO'S FUZZY LOGIC IN ANALYZING RICE AVAILABILITY DURING THE COVID-19 PANDEMIC AT PERUM BULOG NORTH SUMATRA Pratiwi, Ria Widiya; Sari, Rina Filia; Widyasari, Rina
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 2 (2021)
Publisher : Pena Cendekia Insani

During the Covid-19 Pandemic economic activities in North Sumatra experienced problems because many people had been laid off and lost their jobs which made them worried about reaching the staple of rice. So that the government feels the need to provide rice assistance which is directly channeled through BULOG. With this direct social assistance to the community, it could lead to instability in the rice supply and expenditure stocks until at least February 2021. So it is necessary to analyze the availability of rice at Perum BULOG so that the rice stock supply at Perum BULOG remains stable during the Covid-19 Pandemic. With fuzzy logic, Sugeno will present uncertainty, uncertainty, inaccuracy which will then produce a model of a system that is able to estimate the amount of rice supplies during the Covid-19 pandemic. In January, in the calculation of realization from North Sumatra BULOG, the ending inventory was 42,941 tonnes, while the yield from the Sugeno fuzzy method was 34,833.06 tonnes. This shows that there is a mismatch between the amount of income and expenditure of rice.

Penerapan Analisis Lasso dalam Menentukan Penyebab Utama Faktor Kematian Pasien Komorbid yang Terinfeksi Covid-19 Siregar, Agung Lesmana; Sari, Rina Filia; Widyasari, Rina
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 7 No. 1 (2024): Sustainable Development Goal in Mathematics and Mathematics Education
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v7i1.3456

Tingkat kematian akibat COVID-19 saat ini sangatlah mengkhawatirkan. Pada pasien dengan komorbid (penyakit pembawa) tingkat kematian semakin tinggi. Tujuan dari penelitian ini adalah untuk mengetahui komorbid apa saja yang berisiko kematian akibat COVID-19 berdasarkan ketepatan datang pengobatan di RSU Haji Kota Medan, dengan menggunakan metode LASSO (Least Absolute Shrinkage and Selection Operator). Keunggulan metode ini adalah mendapatkan hasil koefisien nol atau mendekati nol, yang menyebabkan terseleksinya variabel independen dengan diketahui koefisien dari usia, kadar gula darah, tekanan darah, hemoglobin, kreatinin dan saturasi oksigen. Berdasarkan koefisien hemoglobin memiliki nilai tertinggi dan menjadi variabel independen yang berpengaruh terhadap kematian akibat COVID-19. Hemoglobin dapat mempengaruhi tingkat oksigen di dalam tubuh karena saturasi oksigen adalah presentase hemoglobin yang mengikat oksigen. Jika tekanan hemoglobin turun menyebabkan sesak nafas sampai meyebabkan sesak nafas sampai menyebabkan kematian. Sehingga hemoglobin menjadi variabel independen yang berpengaruh terhadap kematian akibat COVID -19.

Sistem Pengambilan Keputusan Pemilihan Genre Buku Pada Kalangan Generasi Milenial di Kota Medan dengan Metode Analytical Hierarchy Process (AHP) Rahayu, Tiwi; Sari, Rina Filia; Aprilia, Rima
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 7 No. 2 (2024): Menjembatani Matematika dan Pendidikan Matematika menuju Pemanfaatan Berkelanju
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v7i2.4216

Buku merupakan salah satu media untuk memperoleh ilmu pengetahuan dan wawasan yang baru, karena buku ibarat jendela dunia yang mampu menelusuri berbagai penjuru hanya dengan membaca buku. Setiap buku memiliki genre yang beraneka ragam, sehingga dapat menjadi opsi dalam menentukan bahan bacaan yang sesuai dengan minat masing-masing. Untuk mengetahui genre yang diminati dapat menggunakan sistem pengambilan keputusan. Sistem pengambilan keputusan adalah sistem yang mampu memberikan penyelesaian terhadap permasalahan yang ada, sehingga hasil datanya terstruktur. Dalam penelitian ini, data diambil dari referensi terkait dan hasil penyebaran kuesioner kepada Generasi Milenial di Kota Medan. Kemudian data diolah menggunakan metode Analytical Hierarchy Process (AHP). Karakteristik khusus dari metode AHP ialah menghasilkan variabel yang mempunyai prioritas yang tertinggi sehingga memengaruhi pengambilan keputusan. Berdasarkan penelitian ini menghasilkan urutan kriteria dan alternatif paling prioritas dalam menentukan genre buku yang diminati oleh Generasi Milenial di Kota Medan. Peringkat prioritas kriteria yang tertinggi adalah kualitas dengan nilai 0,319 (31,9 %). Sedangkan peringkat prioritas alternatif yang tertinggi adalah genre self improvement dengan nilai 0,298 (29,8 %).

OPTIMISASI KEUNTUNGAN PRODUKSI NUGGET BEKU MENGGUNAKAN PROGRAM LINIER Sari, Rina Filia; Afnaria, Afnaria; Suhaimi, Syech; Hasibuan, Hani Maulida
MES: Journal of Mathematics Education and Science Vol 10, No 2 (2025): Edisi April
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v10i2.11318

This study aims to determine an optimal production strategy to maximize profit at “Umar Frozen Food” in Hasahatan Julu Village. The research focuses on two types of chicken nuggets: long and flat shapes, considering limited raw materials and production time. The research method applied is linear programming using the simplex method. Data were collected through observation, interviews, and documentation of the production process. The results indicate that the maximum daily profit of Rp10.640,00 is achieved by producing only 2.8 units of flat chicken nuggets and none of the long type. In conclusion, the simplex method effectively aids small businesses in making efficient production decisions and maximizing profit under resource constraints.

Co-Authors Afnaria, Afnaria Alamsyah, Arif Andini, Qonita Putri Anggitasyah, Debi Annisa, Nur Alvi Banurea, Yana Wiranta Dedy Juliandri Panjaitan Fayed, Heba A. Fazariani, Nabila Hasibuan, Hani Maulida Husna, Wilia Hutagalung, Alya Azhrah Khairun Nisa Marlina, Wenni Nasution, Nur Sangadah Novia, Ayu Nugroho, Bagus Joyo Tirto Pohan, Siti Rolizah Pratiwi, Ria Widiya Rahayu, Atika Rahayu, Tiwi Rakhmawati, Fibri Rima Aprilia Riri Syafitri Lubis Ruth Mayasari Simanjuntak Sari, Dinda Permata Siregar, Agung Lesmana Siregar, Anggi Ramadany Suhaimi, Syech Usna, Wilia Widyasari, Rina Yunisa, Fahira Audri

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