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All Journal Jurnal Sains dan Teknologi AKSIOMA: Jurnal Program Studi Pendidikan Matematika CESS (Journal of Computer Engineering, System and Science) ZERO : Jurnal Sains, Matematika dan Terapan INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Desimal: Jurnal Matematika Justek : Jurnal Sains Dan Teknologi Jurnal Pendidikan Matematika (JUDIKA EDUCATION) Query : Jurnal Sistem Informasi Zero : Jurnal Sains, Matematika, dan Terapan AXIOM : Jurnal Pendidikan dan Matematika JOURNAL OF SCIENCE AND SOCIAL RESEARCH Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Math Educa Journal Imajiner: Jurnal Matematika dan Pendidikan Matematika JURNAL PEMBELAJARAN DAN MATEMATIKA SIGMA (JPMS) MUKADIMAH: Jurnal Pendidikan, Sejarah, dan Ilmu-ilmu Sosial Indonesian Journal of Education and Mathematical Science Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Mandalika Mathematics and Educations Journal G-Tech : Jurnal Teknologi Terapan Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi FARABI: Jurnal Matematika dan Pendidikan Matematika Leibniz: Jurnal Matematika Mathematics and Applications (MAp) Journal Journal of Mathematics and Scientific Computing With Applications Jurnal Pijar MIPA Journal of Information Systems and Technology Research Jurnal MathEducation Nusantara Fraction: Jurnal Teori dan Terapan Matematika Al-Ijtima: Jurnal Pengabdian Kepada Masyarakat Digital Transformation Technology (Digitech) Jurnal Ilmiah Ilmu Terapan Universitas Jambi Jurnal Riset Mahasiswa Matematika JME JURNAL ILMIAH PENELITIAN MAHASISWA AKSIOMA : Jurnal Sains Ekonomi dan Edukasi Journal of Technology and Computer (JOTECHCOM) Jurnal Pengabdian Mitra Masyarakat Journal of Mathematics, Computation and Statistics (JMATHCOS) Al-Ijtimā: Jurnal Pengabdian Kepada Masyarakat
Rima Aprilia
Universitas Islam Negeri Sumatera Utara
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Other

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Analisis Efisiensi Pelayanan Paspor Menggunakan Model Antrean M/M/1 di Kantor Imigrasi Medan Yusmanidar, Yusmanidar; Ningsi, Ria Sagita; Syahfitri, Sella; Aprilia, Rima
Digital Transformation Technology Vol. 5 No. 1 (2025): Periode Maret 2025
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v5i1.6386

Abstract

Penelitian ini membahas efektivitas sistem pelayanan paspor di Kantor Imigrasi Kelas I Khusus TPI Medan dengan pendekatan model antrean M/M/1. Permasalahan yang timbul berkaitan dengan tingginya jumlah permintaan yang tidak sebanding dengan kapasitas layanan, sehingga memicu antrean dan waktu tunggu yang signifikan. Kajian ini menggunakan metode deskriptif kuantitatif dengan menghitung parameter sistem seperti laju kedatangan (?), laju pelayanan (?), dan tingkat pemanfaatan (?). Hasil pengolahan data menunjukkan bahwa sistem beroperasi pada utilisasi penuh (? = 1), dengan rata-rata waktu dalam pelayanan sistem selama 25 menit. Rata-rata terdapat lima pemohon dalam sistem dan satu orang dalam antrean setiap waktu. Temuan ini menunjukkan perlunya peningkatan kapasitas atau prosedur efisiensi layanan untuk mengantisipasi permintaan. Rekomendasi strategi disampaikan untuk mendukung peningkatan kualitas pelayanan publik, khususnya dalam konteks administrasi keimigrasian.
Prediksi Curah Hujan Menggunakan Metode Average Based Dan Fuzzy Time Series Di Kabupaten Deli Serdang Adawiyah, Robiyatul; Aprilia, Rima
Imajiner: Jurnal Matematika dan Pendidikan Matematika Vol 7, No 4 (2025): Imajiner: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/imajiner.v7i4.23476

Abstract

Salah satu elemen kunci yang mendukung industri pertanian Indonesia adalah curah hujan. Petani harus menggunakan prakiraan curah hujan yang akurat untuk memilih waktu terbaik dalam setahun dan jenis tanaman, terutama di daerah yang rawan perubahan iklim seperti Kabupaten Deli Serdang. Pendekatan Average-Based Fuzzy Time Series digunakan dalam penelitian ini untuk memperkirakan curah hujan. BMKG Kabupaten Deli Serdang menyediakan data sekunder, yang terdiri dari 68 titik data curah hujan bulanan dari Januari 2019 hingga Agustus 2024. Metode ini diawali dengan menentukan universalitas detail, membagi data ke dalam interval berdasarkan rata-rata selisih absolut, melakukan fuzzifikasi, membentuk hubungan logika fuzzy (Fuzzy Logical Relationship dan FLRG), serta menghasilkan prediksi curah hujan. Evaluasi hasil dilakukan menggunakan nilai RMSE dan MAE untuk mengukur tingkat akurasi. Hasil penelitian menunjukkan bahwa metode ini mampu memberikan prediksi yang cukup baik terhadap data curah hujan yang bersifat fluktuatif. Dengan demikian, metode Fuzzy Time Series Berbasis Rata-rata dapat digunakan sebagai salah satu alternatif dalam memprediksi data iklim seperti curah hujan.
Analisis Model Matematika pada Penanggulangan Pencemaran Udara Adella Aulia Mukti; Husein, Ismail; Aprilia, Rima
Leibniz: Jurnal Matematika Vol. 5 No. 02 (2025): Leibniz: Jurnal Matematika
Publisher : Program Studi Matematika - Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas San Pedro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59632/leibniz.v5i02.630

Abstract

Penelitian ini menggunakan pendekatan kuantitatif dengan metode pemodelan matematika berbasis data sekunder dari Dinas Lingkungan Hidup (DLH) Kota Medan. Data mencakup konsentrasi karbon monoksida (CO), karbon dioksida (CO?), dan oksigen (O?) pada empat kawasan berisiko tinggi pencemaran, yaitu kawasan industri, perkantoran, permukiman, dan area dengan kepadatan kendaraan tinggi. Model yang diterapkan adalah Vector Autoregression (VAR), yang mampu menangkap hubungan dinamis antarvariabel tanpa perlu membedakan variabel endogen dan eksogen. Sebelum pemodelan, dilakukan uji stasioneritas dengan Augmented Dickey-Fuller (ADF), penentuan lag optimal, serta uji kausalitas Granger. Hasil penelitian menunjukkan adanya tren peningkatan konsentrasi CO, penurunan CO?, dan kenaikan moderat kadar O?. Model VAR yang dibangun memiliki akurasi yang baik dengan nilai Mean Absolute Percentage Error (MAPE) sebesar 7,85%, sehingga efektif digunakan untuk peramalan jangka pendek pencemaran udara. Dengan demikian, pemodelan ini dapat menjadi dasar analisis dan perumusan strategi penanggulangan pencemaran udara di Kota Medan.
Klasifikasi Kualitas Air Sungai Dengan Metode Random Forest Tanjung, Muhammad Afrizal; Aprilia, Rima
SAINTIFIK Vol 11 No 2 (2025): Saintifik: Jurnal Matematika, Sains, dan Pembelajarannya
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/saintifik.v11i2.611

Abstract

Kualitas air sungai memegang peranan penting bagi kesehatan publik dan pelayanan perkotaan, namun banyak sungai di Indonesia menunjukkan indikasi pencemaran. Studi ini menerapkan algoritma Random Forest untuk mengklasifikasikan mutu air tiga sungai di Kota Medan berdasarkan data pemantauan sekunder tahun 2023–2024 dari Dinas Lingkungan Hidup. Dataset berisi 72 observasi dengan sembilan parameter utama, yaitu TSS, pH, BOD, COD, DO, Nitrat, Nitrit, Total Coliform, dan Amonia. Skema pemodelan meliputi pra pengolahan data, pembagian latih–uji 80:20 secara terstratifikasi, pelatihan Random Forest dengan 100 pohon, serta evaluasi menggunakan akurasi dan matriks kebingungan pada subset uji. Hasil menunjukkan akurasi keseluruhan 100 persen pada data uji, dengan ketepatan penuh pada kedua kelas yang dikaji (Kelas II dan Kelas III). Analisis kepentingan fitur mengindikasikan bahwa Total Coliform dan COD merupakan penentu paling dominan, diikuti Nitrat dan DO, sedangkan TSS, pH, Ammonia, dan parameter lain memberi kontribusi menengah hingga rendah. Temuan ini menegaskan efektivitas Random Forest untuk tugas klasifikasi mutu air sungai dan memberikan wawasan prioritas parameter bagi pengendalian pencemaran. Secara praktis, pendekatan ini dapat mendukung pemantauan berbasis data dan pengambilan keputusan pengelolaan kualitas air di tingkat daerah.
Vehicle Routing Problem as a Solution for Determining Goods Delivery Routes PT. Kreasi Beton Nusa Persada Panjaitan, Dedy Juliandri; Aprilia, Rima; Anjeli, Sarifah
JST (Jurnal Sains dan Teknologi) Vol. 12 No. 3 (2023): Oktober
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jstundiksha.v12i3.67809

Abstract

VRP distributions have had difficulty overcoming the problem of finding channels with minimal depots to locations that have different places with different total demand. The purpose of this study is to analyze the problem of transportation routes in the distribution of products obtained from the initial location of distribution to users. This type of research is qualitative research. This research was conducted at PT. Nusa Persada Concrete Creations. The Nearest Neighbor method is used to determine the distribution of routes. The Local Search method is carried out to evaluate and improve the distribution of routes carried out at the beginning with the Nearest Neighbors method. The data analysis process consists of several stages with the Nearest Neighbor method and the LocalSearch method. The results of the study, namely the Model Vehicle Routing Problem (VRP) applied in determining ready mix delivery routes at PT. Nusapersada Concrete Creation using nearest and local neighbor methods. Vehicle Routing Problem (VRP) models using nearest and local neighbor methods can be used applied in determining ready mix delivery routes to limited companies. Nusapersada Concrete Creations. This makes distance and time more effective, as well as more cost efficient. New routes generated This is a route improvement solution that PT. The application of the Nusapersada Concrete Creations model results in a new route that reduces the distance closer, faster completion time, and fuel cost savings for truck vehicles compared to the initial route. This makes distance and time more effective, as well as more cost efficient.
Membentuk Generasi Berprestasi Melalui Edukasi Dan Pembinaan Agama Di Desa Pematang Cengkering Putri, Ayilzi; Rismayani, Rismayani; Mahaputri, Amanda Ulayyah; Hasibuan, Riza Sakhbani; Mawarni, Mawarni; Aprilia, Rima
Al-Ijtimā': Jurnal Pengabdian Kepada Masyarakat Vol 5 No 1 (2024): Oktober
Publisher : Lembaga Penelitian, Publikasi Ilmiah dan Pengabdian kepada Masyarakat (LP3M)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53515/aijpkm.v5i1.180

Abstract

Community service activities through the Real Work Lecture (KKN) program aim to make a tangible contribution to society through education and religious guidance, thereby enhancing the knowledge and skills of the community, especially the younger generation, to become individuals who excel both academically and spiritually. This KKN program is in line with one of the main pillars of the Tri Dharma of Higher Education, which is community service. In this program, students are given the opportunity to share knowledge and actively participate in education and the instillation of religion for the generation in Pematang Cengkering Village. The educational and religious activities that have been carried out, such as teaching in elementary schools, mentoring in kindergartens, evening Quran recitation, tutoring, and the Smart Kids Festival, have shown a significant positive impact on the academic development and character of children in Pematang Cengkering Village. These programs not only help students understand their lessons, but also build their self-confidence, strengthen their character, and enhance their spiritual quality, thus shaping a generation that excels in both academic and spiritual aspect.
PLANNING OF RAW MATERIAL INVENTORY TO MAKE TOFU METHOD WITH MATERIAL REQUIRETMENSPLANNING (MRP) Damayanti; Filia Sari, Rina; Aprilia, Rima; Iman, Nur
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 2 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v3i2.79

Abstract

UD. Ai Kampung Bilah Tofu Factory, Labuhan Batu Regency is an industry that is engaged in the processing of Tofu. The purpose of this study is to determine the amount of tofu production from forecasting the number of requests for the previous period. Problem with UD. The aim of the Kampung Bilah Tofu Factory is that it has not implemented rules in controlling the supply of raw materials. In the production process, there are often obstacles, namely the use of raw materials and orders that are not appropriate. Optimum planning and inventory of material requirements is carried out using the Material Requirement Planning method. MRP is a method of planning and scheduling better inventory on a product that is produced. In this study the Material Requirement Planning method, the lot sizing technique used is Lot For Lot, Economic Order Quantity, Priode Order Quantity. Based on the calculation results, Material Requirement Planning using the lot sizing technique, namely Lot For Lot, produces a total cost of Rp. 2,640,000 minimum orders for raw materials.
Application of the Support Vector Regression Method with the Grid Search Algorithm to Predict Movement Gold Price Puspita, Reni; Cipta, Hendra; Aprilia, Rima
Jurnal Pijar Mipa Vol. 19 No. 2 (2024): March 2024
Publisher : Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA colaborates with Perkumpulan Pendidik IPA Indonesia Wilayah Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpm.v19i2.6607

Abstract

Gold is an investment with the smallest risk because it can be sold anytime and anywhere. In Indonesia, gold bullion as an investment product is known for its purity level of 99.99%, namely gold bullion produced by PT. Aneka Tambang (Antam) through its Precious Metals business unit. Apart from its pure production, Antam gold bullion is easier to resell anytime and anywhere because it has an official certificate from the international gold standardisation institution, namely LBMA (London Bullion Market Association), to more easily estimate the value of gold bullion when sold. To overcome this, predictions of future gold prices are needed. In this research, one of the prediction methods is Support Vector Regression with the Grid Search Algorithm. In this method this method will be used to predict the price of gold, which aims to predict and find out the price of gold one year in the future to produce a level accuracy (MAPE) of 5.43% and the prediction of gold prices increasing from 2023-June-01 to 2024-March-23 while experiencing a decline starting in 2024-March-24. Research by examining the relationship between variables, which emphasises data consisting of numbers so that it is analysed based on statistical procedures using the Support Vector Regression method with data sourced from the daily price of gold bullion through PT. Gallery 24 Pawnshops, North Sumatra. Where this method is very well used in predicting by choosing the best kernel used is the linear kernel because, from these three kernels, the best hyperparameters were obtained for predicting gold price movements using a linear kernel with a division for training and testing data of 60: 40. The MAPE value obtained was 5.43.
Monte Carlo Simulation Of Estimating Clean Water Supplies Walid, Fajari Husnul; Dur, Sajaratud; Aprilia, Rima
ZERO: Jurnal Sains, Matematika dan Terapan Vol 5, No 1 (2021): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v5i1.11099

Abstract

Estimates are important tools in effective and efficient planning for predicting future events. Identical estimates of the future values of a variable for planning or decision making of a situation to estimate future values. Monte Carlo simulation is a simulation model that involves a series of random and sampling with a probability distribution that can be known and determined, then this simulation can be used. In this study, data is taken from the amount of water usage in PDAM Tirtanadi H.M branch. Yamin, North Sumatra from January 2018 to June 2019. Then, the data is processed and analyzed using Monte Carlo Simulation to determine the forecast results in the years that follow. The result is an estimated amount of water usage in 2019 and 2020 at PDAM Tirtanadi H.M branch. Yamin, North Sumatra is 8,604,556 and 8,592,873. The estimated amount of water use is down from the amount of water use in 2018 which reached 8,685,356. The amount of water usage in 2018, 2019 and 2020 decreases by about .
SIMULASI PENGENDALIAN PERSEDIAAN ALAT TULIS KANTOR PADA DINAS PERKEBUNAN DAN PETERNAKAN PROVINSI SUMATERA UTARA DENGAN METODE MONTE CARLO Sari, Rina Filia; Aprilia, Rima; Widyasari, Rina; Afnaria, Afnaria; Suhaimi, Syech; Putri, Chindy Aulia
Jurnal Pengabdian Mitra Masyarakat Vol 3, No 2 (2024): Edisi Maret
Publisher : Universitas Islam Sumatear Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jurpammas.v3i2.9284

Abstract

In a Government Agency, office stationery supplies are an absolute necessity. The provision of adequate office stationery will facilitate performance. This study aims to predict the demand for office stationery using Monte Carlo Simulation. Monte Carlo is a numerical analysis method that uses random number samples. The data used in this study are primary data in the form of the number of stock items and the number of requests for goods from January to December 2023. The accuracy result using the Monte Carlo method for Year 2024 is 91.78%. This shows that the Monte Carlo method simulation can be used to predict the demand for stationery for the following year.
Co-Authors Adawiyah, Robiyatul Adella Aulia Mukti Afnaria, Afnaria Akhiriyah Ramadhani Amanda Ulayyah Mahaputri Anjeli, Sarifah Aprianingsih, Melinda Ardiansyah, Fikri Nur Atika Nabila Ayilzi Putri Damanik, Mahyuni Br Damayanti Darmawan, Dian Deasy, Deasy Dedy Juliandri Panjaitan Della Arsita sari Dewi, Desi Erni Diah Reka Putri Dwi Haprida Ellysa Syahfitri Fairuz, Ersya Nurul Fajari Husnul Walid Farica Luthfiyah Fazariani, Nabila Fernanda, Fariz Hakim Fibri Rakhamawati Fikri Nur Ardiansyah Filia Sari, Rina Firmansyah Firmansyah Hasibuan, Riza Sakhbani Heba A. Fayed Hema Pebria Rollingka Hendra Cipta Indah Widya Hanzani Irvan Ginting Ismail Husein, Ismail Khaila Afsari Klause Roder Laila Agustin Pohan Lisa Setia Ningsih MA, Wilda Syahrani Mahaputri, Amanda Ulayyah Mahyuni Br Damanik Majidah, Nur Marwan Marwan Mawarni Mawarni Mawarni Mawarni Melati, Melati Puspita Sari Lubis Miwadari Miwadari Muhammad Harits Azhari Muhammad Ridwan Mutiara, Tia Nasution, Ainil Hafizha Nasution, Hamidah . Nenna Irsa Syahputri Ningsi, Ria Sagita Nova Audry Utami Nur Haryani Zakaria Nur Iman Nuri Prasuci Nuriman Astuti Batubara Prasetya, Nurul Huda Puspita, Reni Putri Rahma Novia Putri, Ayilzi Putri, Chindy Aulia R Maisaroh Rezyekiyah Siregar Rahayu, Tiwi Rahma Aulia Rakhmawati, Fibri Ramadiani Br. Rambe Razvan Serban Rina Filia Sari Rina Filia Sari, Rina Filia Rina Widyasari Riri Syafitri Lubis Riri Syahfitri Lubis Riska Aulia Rismayani Rismayani Rismayani Rismayani Rivani Kabrina Br Surbakti Riza Sakhbani Hasibuan Ropiqoh Ropiqoh Sabila Khairani Sabrina Nasution Sajaratud Dur Sajaratud Dur, Sajaratud Sapta, Andy Setiawan, Agun Silvia Harleni Siregar, Annisa Fadhillah Putri Siregar, Aulia Rahman Siregar, Machrani Adi Putri Siregar, Nurmala Sari Siti Aisyah Siti Handayani Siti Maymunah Tarigan Sri Wahyuni Suci Pranasari Suendri, Suendri Sugarda, Ahmad Suhaimi, Syech Suhendra, Irfan Sulaiman Ananda Harahap Syahfitri, Sella Syahronal Hidayat Nasution Tanjung, Muhammad Afrizal Tarigan, Umar Abdul Gani Taufik Hidayat Manurung Tri Handayani Triase Triase Usna, Wilia Walid, Fajari Husnul Widyasari, Rina Wilia Husna Wulandari, Mitha Yolandini Eka Putri Yuda, Muhammad Wira Yulinda, Jeni YUSMANIDAR, YUSMANIDAR