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All Journal AdMathEdu : Jurnal Ilmiah Pendidikan Matematika, Ilmu Matematika dan Matematika Terapan Kubik JISTech (Journal of Islamic Science and Technology) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya AL-ULUM: JURNAL SAINS DAN TEKNOLOGI Math Educa Journal Vygotsky: Jurnal Pendidikan Matematika dan Matematika MES: Journal of Mathematics Education and Science Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika G-Tech : Jurnal Teknologi Terapan INFOKUM Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal IPTEK Bagi Masyarakat Journal of Mathematics and Scientific Computing With Applications Journal of Information Systems and Technology Research Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Jurnal Garuda Pengabdian Kepada Masyarakat
Rina Filia Sari
Universitas Islam Negeri Sumatera Utara
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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OPTIMASI KEUNTUNGAN PRODUKSI DENGAN MENGGUNAKAN LINEAR PROGRAMMING Afnaria Afnaria; Metrilitna br Sembiring; Rina Filia Sari; Syech Suhaimi
MES: Journal of Mathematics Education and Science Vol 8, No 2 (2023): Edisi April
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v8i2.7770

Abstract

This research was conducted using data obtained from UD Kreasi Lutvi. Meanwhile, based on the results of production optimization processing using Table Simplex and QM For Windows V3, production levels show different levels of production, namely 80,000 large packages, 5,000 medium packages and 400 small packages. When UD Kreasi Lutvi produces according to optimal conditions, the profit that can be obtained under optimal conditions is Rp. 386,600,000, while the profit in factual conditions is Rp. 361,268,000, so the increase in profits is Rp. 25,332,000. This shows that the benefits in factual conditions and optimal conditions are much different, but to increase profits, UD Kreasi Lutvi must produce according to optimal conditions.
PENENTUAN JENIS TEMBAKAU YANG PALING BANYAK DIMINATI MENGGUNAKAN METODE SIMPLE MULTI ATTRIBUTE RATING TECHNIQUE (SMART) Muhammad Harits Azhari; Rina Filia Sari; Rima Aprilia
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 7, No 2 (2024): May 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i2.1861

Abstract

Tembakau merupakan salah satu jenis tanaman yang dikenal di kalangan masyarakat Indonesia. Tanaman tembakau merupakan jenis tanaman tropis yang dapat hidup pada rentang iklim yang luas dan merupakan tanaman semusim. Tanaman tembakau ini tergolong dalam tanaman perkebunan, tersebar diseluruh nusantara. Secara umum, penggunaan tembakau masih terbatas sebagai bahan baku untuk pembuatan rokok. Menurut Taiga dan Friday (2009) daun dari tanaman tembakau mengandung bahan yang bersifat antibakteri dan antijamur, sehingga daun tembakau dapat dialih fungsikan menjadi obat alternatif, dalam hal ini daun tembakau dapat digunakan sebagai obat antijamur. Pada perkembangan tanaman tembakau, tembakau linting rasa (tembakau gulung beraneka rasa) merupakan alternatif bagi konsumen di masa kini. Pasar tembakau saat ini diramaikan dengan kehadiran tembakau rasa-rasa. Karena, harga rokok konvensional di Indonesia tergolong mahal, sehingga membuat perokok harus mencari alternatif lain untuk meminimalisir biaya, salah satu caranya yakni dengan mengosumsi tembakau lintingan. Oleh karena itu, diperlukan manajemen pemilihan tembakau rasa yang paling banyak diminati oleh konsumen dengan menggunakan metode Simple Multi Attribute Rating Technique (SMART) dan diharapkan nantinya dapat menjadi rekomendasi untuk masyarakat yang baru akan memulai mengganti rokok konvensional dengan tembakau linting rasa (tembakau gulung beraneka rasa) mengingat harga rokok konvensional yang semakin meningkat untuk penjual.
MULTIVARIATE SINGULAR SPECTRUM ANALYSIS MODEL IN FORECASTING RED CHILI AND CAYENNE PEPPER PRICES Radita Rahma; Rina Filia Sari; Sajaratud Dur
AL ULUM: JURNAL SAINS DAN TEKNOLOGI Vol 10, No 1 (2024)
Publisher : UPT Publication and Journal Management, Islamic University of Kalimantan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/jst.v10i1.14281

Abstract

North Sumatra is one of the provinces that contributes the most prominent agricultural commodities of red chilies and cayenne peppers in Indonesia. This study aims to determine the outcomes of price forecasts for cayenne and red chilies in the province of North Sumatra. The method used is multivariate singular spectrum analysis. Results were grouped into six groups based on 12 eigenvectors with a forecast length of 9 monthly periods. Further, the level of accuracy was obtained from MAPE for each variable, with the highest MAPE being 30% for the curly red chili, 27.55% for the big red chili, and the lowest at 23.44% for mixed cayenne pepper. So, the price forecast for red chilies and cayenne peppers in North Sumatra Province for October 2023 to June 2024 using the Multivariate Singular Spectrum Analysis model is included in the forecast category with reasonable capabilities.
PENDEKATAN REGRESI LOGISTIK BINER DAN REGRESI LOGISTIK BERSTRUKTUR POHON DALAM ANALISIS DIAGNOSIS KANKER PAYUDARA Mutiah Nasution; Rina Filia Sari; Rina Widyasari
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 1 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i1.566

Abstract

The purpose of this research is to determine the factors that have a significant effect on the types of malignant and benign breast cancer using the binary logistic regression approach and classify the factors that have a significant effect on the types of malignant and benign breast cancer using the regression method. tree-structured logistics on breast cancer data from H. Adam Malik Hospital Medan 2021. This research is a type of applied research by collecting secondary data from the H Adam Malik General Hospital Medan. The research variables used are the response variable (Y) and the predictor variable (X). In the response variable there are also two categories, namely benign breast cancer patients and malignant breast cancer patients. While the predictor variables in this study were age, age at menarche, age at menopause, age at parity, use of hormonal contraception, genetics, number of children, breastfeeding period, and mammary fibroadenosis. This study uses the binary logistic regression method because it is a good method in determining factors. In addition, the tree-structured logistic regression method is also used because it is a good method in determining factor classification with a good level of accuracy for all data. These two methods can make it easier for researchers to calculate and determine the factors that have a significant effect on the type of malignant breast cancer and benign breast cancer using all the available variables. The results of this study obtained an accuracy value of 94% for the binary logistic regression method and 97.74% for the tree-structured logistic regression method. Because it has an accuracy value of almost 100%, this means that the binary logistic regression method and tree-structured logical regression applied to this research problem are good enough
MULTIVARIATE SINGULAR SPECTRUM ANALYSIS MODEL IN FORECASTING RED CHILI AND CAYENNE PEPPER PRICES Radita Rahma; Rina Filia Sari; Sajaratud Dur
AL ULUM: JURNAL SAINS DAN TEKNOLOGI Vol 10, No 1 (2024)
Publisher : UPT Publication and Journal Management, Islamic University of Kalimantan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/jst.v10i1.14281

Abstract

North Sumatra is one of the provinces that contributes the most prominent agricultural commodities of red chilies and cayenne peppers in Indonesia. This study aims to determine the outcomes of price forecasts for cayenne and red chilies in the province of North Sumatra. The method used is multivariate singular spectrum analysis. Results were grouped into six groups based on 12 eigenvectors with a forecast length of 9 monthly periods. Further, the level of accuracy was obtained from MAPE for each variable, with the highest MAPE being 30% for the curly red chili, 27.55% for the big red chili, and the lowest at 23.44% for mixed cayenne pepper. So, the price forecast for red chilies and cayenne peppers in North Sumatra Province for October 2023 to June 2024 using the Multivariate Singular Spectrum Analysis model is included in the forecast category with reasonable capabilities.
Analisis Diskriminan Penggunaan Media Sosial di Kalangan Mahasiswa UIN Sumatera Utara Fibri Rakhmawati; Rina Filia Sari; Riri Syafitri Lubis; Ruth Mayasari Simanjuntak
Jurnal IPTEK Bagi Masyarakat Vol 4 No 2 (2024)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jibm.v4i2.1024

Abstract

Penelitian ini bertujuan untuk menemukan perbedaan signifikan antara mahasiswa yang menggunakan media sosial secara aktif dan tidak aktif di Fakultas Sains dan Teknologi UIN Sumatera Utara, menentukan variabel pembeda di antara kedua kelompok, membangun model diskriminasi dua faktor, serta menguji akurasi model tersebut. Sampel penelitian terdiri atas 1.800 mahasiswa dari 220 program studi, dengan data yang dikumpulkan melalui kuesioner. Kredibilitas dan validitas kuesioner diuji menggunakan SPSS melalui Uji Wilk's Lambda dan F-test. Analisis diskriminan digunakan untuk mengidentifikasi variabel pembeda, seperti akses, unggah foto, perbarui status, membagikan tautan, dan cerita langsung (live stories), serta menentukan proporsi keanggotaan masing-masing kelompok. Hasil analisis menunjukkan adanya perbedaan signifikan antara perilaku mahasiswa aktif dan tidak aktif dalam menggunakan media sosial, dengan validasi silang menunjukkan akurasi klasifikasi sebesar 77,0%. Temuan ini memberikan kontribusi penting dalam memahami pola penggunaan media sosial di kalangan mahasiswa.
Prioritizing Educational Media for the Golden Age: A PROMETHEE-Based Analysis of Multiple Intelligences Rima Aprilia; Rina Filia Sari; Dedy Juliandri Panjaitan; Heba A. Fayed; Wilia Husna
Journal of Information Systems and Technology Research Vol. 4 No. 2 (2025): May 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i02.1126

Abstract

The golden age is a critical period in a child’s development, spanning from ages 0 to 8, during which learning ability, sensory functions, and emotional potential grow rapidly. At this stage, selecting appropriate educational media is crucial to optimally support the child’s multiple intelligences. In the golden age, the development of a child's memory during this period was excellent. Those at this age have the ability and enthusiasm to learn and the nature of high curiosity. This is one of the reasons for the need to optimize attention during that time. The selection of diverse educational media can determine the success factor in Conducting an analysis of the child's abilities. In this study, the research team will show how to make decisions in the selection of children's educational media by analyzing cognitive, sensory, and emotional potential using the Promethee method. This study aims to determine the most effective educational media for developing cognitive, sensory, emotional, and potential aspects of early childhood using the PROMETHEE method (Preference Ranking Organization Method for Enrichment Evaluation). PROMETHEE is a multi-criteria decision-making (MCDM) approach that helps prioritize alternatives based on predefined evaluation criteria. PROMETHEE in the last 5 years has been rarely used in the selection of educational media for early childhood in analyzing cognitive, sensory, and emotional potential. One of the methods that is often used in the selection of educational media is the ICT method. The research was conducted qualitatively in several regions of North Sumatra, involving parents of young children as key informants. The educational media analyzed included storybooks, puzzles, building blocks, and physical e-books. The response from early childhood to the sample of educational media provided is very diverse. This is based on the criteria tested on the sample. It was found that on average each sample given gave a good response to the child. Each sample given affects the testing criteria, be it cognitive, sensory, potential analysis, or children's emotions. The findings reveal that each media type influences child development differently, with physical e-books receiving the highest preference rankings. These results provide valuable insights for parents and educators in selecting educational tools that best support the optimal development of children's multiple intelligences.
OPTIMISASI KEUNTUNGAN PRODUKSI NUGGET BEKU MENGGUNAKAN PROGRAM LINIER Rina Filia Sari; Afnaria Afnaria; Syech Suhaimi; Hani Maulida Hasibuan
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

Abstract

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. 
Penerapan Principal Component Analysis dan Cluster Analysis untuk Segmentasi Kabupaten/Kota di Sumatera Utara Berdasarkan Indikator Pembangunan Manusia Elma Dwi Ariana Aprilia Zam; Hani Maulida Hasibuan; Aida Febriana Tanjung; Ahmad Syahrial Pohan; Rina Filia Sari
JISTech (Journal of Islamic Science and Technology) Vol 11, No 1 (2026)
Publisher : UIN Sumatera Utara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/jistech.v11i1.30953

Abstract

Penelitian ini bertujuan untuk mengelompokkan kabupaten/kota di Provinsi Sumatera Utara berdasarkan indikator pembangunan manusia menggunakan kombinasi metode Principal component analysis (PCA) dan K-means Clustering. Data yang digunakan merupakan data indikator pembangunan manusia pada 33 kabupaten/kota di Provinsi Sumatera Utara. Variabel yang digunakan adalah harapan lama sekolah , rata-rata lama sekolah , angka harapan hidup , tingkat pengangguran terbuka , jumlah penduduk miskin , dan Pengeluaran perkapita . Analisis diawali dengan reduksi dimensi menggunakan PCA untuk mengatasi korelasi antar variabel dan memperoleh faktor utama yang mewakili karakteristik data. Hasil pengujian menunjukkan bahwa satu komponen utama dengan nilai eigen sebesar 2.848 mampu menjelaskan 56.963% keragaman data. Faktor tersebut dibentuk oleh variabel harapan lama sekolah, rata-rata lama sekolah, angka harapan hidup, tingkat pengangguran terbuka, dan pengeluaran per kapita. Selanjutnya, skor faktor hasil PCA digunakan sebagai input pada metode K-means Clustering. Berdasarkan metode elbow, jumlah cluster optimal yang diperoleh adalah empat cluster. Hasil pengelompokan menunjukkan bahwa Cluster 1 termasuk kategori rendah dengan 4 kabupaten/kota, Cluster 3 kategori sedang dengan 15 kabupaten/kota, Cluster 2 kategori tinggi dengan 2 kabupaten/kota, dan Cluster 4 kategori sangat tinggi dengan 12 kabupaten/kota. Hasil penelitian menunjukkan adanya perbedaan karakteristik indikator pembangunan manusia antar kelompok kabupaten/kota di Provinsi Sumatera Utara sehingga dapat menjadi dasar dalam penyusunan kebijakan pembangunan yang lebih terarah.
Mengukur Tingkat Efektivitas Google Drive Dengan Uji Chi Square Dan Cramer (C) Dalam Pengarsipan Dokumen Amdal Alya Azhrah Hutagalung; Atika Rahayu; Debi Anggitasyah; Fahira Audri Yunisa; Qonita Putri Andini; Rina Filia Sari
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

Abstract

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.
Co-Authors Afnaria Afnaria, Afnaria Ahmad Syahrial Pohan Aida Febriana Tanjung Alfinda Kharisma Alya Azhrah Hutagalung Ana Uzla Batubara Anggi Pranata Atika Rahayu Debi Anggitasyah Dedy Juliandri Panjaitan Elma Dwi Ariana Aprilia Zam Ester Maylani Fahira Audri Yunisa Fithria Aidra Marpaung Hani Maulida Hasibuan Heba A. Fayed Hema Pebria Rollingka Hendra Cipta Heni Pujiastuti Ika Silvia Ramadani Melinda Aprianingsih Metrilitna Br Sembiring Muhammad Harits Azhari Mutiah Nasution Nur Lela Paisal Sirait Qonita Putri Andini Radita Rahma Rakhmawati, Fibri Reka Rahmawi riezkyfadhillah riezky Rima Aprilia Rina Widyasari Riri Syafitri Lubis Ruth Mayasari Simanjuntak Sajaratud Dur Siti Handayani Syech Suhaimi Widi Ihdina Nabilla Wilia Husna Yolandini Eka Putri