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Riri Syafitri Lubis

Universitas Islam Negeri Sumatera Utara, Medan, Indonesia

Author-ID : 3325332

Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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THE USE OF HILL CLIMBING ALGORITHM IN GRAPHIC INFORMATION SYSTEM TO FIND THE SHORTEST ROUTE FOR WASTE TRANSPORTATION IN MEDAN DENAI DISTRICT Putri Harahap, Rahmelia; Syafitri Lubis, Riri; Cipta, Hendra; Syahputri, Linna
Journal of Mathematics and Scientific Computing With Applications Vol. 6 No. 1 (2025)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v6i1.992

Factors causing environmental damage/disaster include internal and external damage. By maximizing the transportation system, we are able to address the social issues optimally so that we provide more positive impacts on public health, environmental health, and urban beauty. Factors related to distribution can make decisions about the routes of transportation. The purpose of this research is to optimize the route of truck transportation using the Hill Climbing Algorithm in the District of Medan Denai from one point to another towards the construction site of the Sentairai. Based on the results of this study, it shows that the route of truck transport to the top with a graphical information system using Ailgorithm Hill Climbing, the route of truck transport to the top with a graphical information system using Ailgorithm Hill Climbing in the District of Medan Aireai with the shortest route for transport to the top is through a route with a total distance of 32.25 km with a travel time of 85 minutess and a total time of 8 hours 20 minutess, namely through: Start Point (Kantor Camat Medan Area) - Pandau Hulu II Village - Kotamatsum II Village - Pasar Merah Timur Village - Kotamatsum III Village - Tegal Sari III Sub-district – Tegal Sari I Sub-district – Sei Rengas Permata Sub-district – Tegal Sari II Sub-district – Sei Rengas II Sub-district – Sukaramai II Sub-district – Sukaramai I Sub-district – Kotamatsum I Sub-district and TPA.

Implementasi Pengendalian Persediaan Dodol Dengan Metode Newsboy Problem Pada Toko Sejahtera Pasar Bengkel Serdang Bedagai Farwansyah, Mhd Rio; Nasution, Hamidah; Lubis, Riri Syafitri
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.v7i1.4037

Bengkel market is a souvenir or snack and is often referred to as a typical tour of Serdang Bedagai Regencey.Dodol with its flavor variant is the most famous product in this area, so it is often referred to as the DOdol Market. The prosperous shop has a problem, namely that there is often an excess of dodol production that does not sell well, thus making the store unable to optimize profits. The Newsboy Problem Method is a stochastic model that considers the existence of uncertainty factor in the amount of demand ffor each production period. From the results of research using the Newsboy Problem method, the optimal production quantity for the original lunkhead is 155 pcs with a profit of Rp.10.605.000. Pandan dodol produces an optimal production quantity of 110 pcs with a profit of Rp.10.920.000. and dodol durian produces an optimal production quantity of 125 pcs with a profit of Rp.9.990.000.

Klasifikasi Kabupaten/ Kota Sejahtera dan Tidak Sejahtera dengan Metode Spectral Clustering pada Provinsi Sumatera Utara Batu, Annisa Rajaq Lumban; Lubis, Riri Syafitri; Harleni, Silvia
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 8 No. 1 (2025): Integrasi Matematika, Teknologi, dan Budaya dalam Pendidikan dan Aplikasi Terap
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v8i1.4887

People's welfare is basically a condition whose form is dynamic or in other words its quantitative value will never stop because it will continue to change along with the development of human life needs. In the Regional Medium Term Development Plan (RPJMD) of North Sumatra Province, the government is trying to realize an advanced and prosperous community life. Law No. 11 of 2019 article 3 paragraph 1, it is also written that the purpose of administering social welfare is to increase the level of welfare, quality and survival. As according to the Central Statistics Agency for North Sumatra in 2021 regarding indicators of people's welfare, namely, population, health, education, employment, household consumption and expenditure, housing and the environment, and participation in social activities. To make a strategy to improve the welfare of the people of North Sumatra, the Government needs to determine which districts or cities are prosperous and which are not. This study uses the spectral clustering method in which this method forms clusters obtained according to data taken at the Central Bureau of Statistics which will be carried out in 2022 data taken in 2021. The results of this study indicate the application of the spectral clustering method for classifying prosperous and less prosperous city districts in North Sumatra province and clusters obtained as many as 2 clusters from data from 33 urban districts in North Sumatra province, namely cluster 1 is a prosperous district or city, namely Medan and Deli Serdang, and cluster 2 is a district or city that is not prosperous, namely, apart from Medan and Deli Serdang.

Penerapan Metode Regresi Probit Biner dalam Menganalisis Faktor-Faktor yang Berpengaruh pada Tingkat Partisipasi Angkatan Kerja Wanita Utami, Ristika Dian; Lubis, Riri Syafitri; Cipta, Hendra
Justek : Jurnal Sains dan Teknologi Vol 8, No 2 (2025): Juni
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v8i2.29162

Abstract: The female labor force participation rate (LFPR) describes the percentage of the female population of working age who are engaged in economic activities. In this condition, the problem that often arises is that the LFPR of women is still lower than the LFPR of men, and the gap between the two is quite far. The purpose of this study is to find out what factors affect the LFPR of women in North Sumatra Province. The method used is binary probit regression method. The data revealed that 45.5% of districts/cities in North Sumatra Province were classified as low LFPR category. The results showed that the level of education (X1) and the informal sector (X5) had a significant effect on female TPAK with a classification accuracy value of 93.9%, indicating that the binary probit regression model used was able to classify the data correctly with a high level of accuracy.Abstrak: Tingkat partisipasi angkatan kerja (TPAK) wanita menggambarkan persentase populasi wanita pada usia kerja yang terlibat dalam kegiatan ekonomi. Dalam kondisi ini, masalah yang sering muncul adalah TPAK wanita masih lebih rendah dari TPAK laki-laki, dan kesenjangan antara keduanya cukup jauh. Tujuan dari penelitian ini yaitu untuk mengetahui faktor-faktor apa saja yang berpengaruh terhadap TPAK wanita di Provinsi Sumatera Utara. Metode yang digunakan adalah metode regresi probit biner. Data mengungkapkan bahwa 45,5% kabupaten/kota di Provinsi Sumatera Utara tergolong dalam kategori TPAK rendah. Hasil penelitian menunjukkan tingkat pendidikan (X1) dan sektor informal (X5) berpengaruh signifikan terhadap TPAK wanita dengan nilai ketepatan klasifikasi sebesar 93,9% menandakan model regresi probit biner yang digunakan mampu mengklasifikasikan data dengan tepat memiliki tingkat akurasi yang tinggi.

Application of k-prototypes algorithm to smoking addiction at FST UINSU medan Ritonga, Nurhalimah; Lubis, Riri Syafitri
Desimal: Jurnal Matematika Vol. 7 No. 3 (2024): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v7i3.24374

One of the addictive chemicals that can cause addiction is cigarettes. By combining smoking data among students of the Faculty of Science and Technology (FST) at UINSU Medan, this study seeks to overcome the problem of smoking. The K-Prototypes approach is one of the ones that is applied. Microsoft Excel 2010 and IBM SPSS Statistics are programs used to analyze research data. A sample questionnaire of FST students from UINSU Medan provided data. The findings showed that the K prototype had an impact on smoking factors, study programs, types of cigarettes, the number of cigarettes smoked, and the early age of smoking. There are 19 objects in Cluster 1, 21 objects in Cluster 2, and 25 objects in Cluster 3 students in each cluster. According to the cluster data of the K-Prototypes method, the smoking factor was caused by friends in cluster 1, which included early-age smokers (12.789) with 1.895 packs of salt warehouse cigarettes. In the second group of early smoking age groups (15.810), 1.381 packs of salt warehouse cigarettes were smoked, and the smoking factor was associated with the family. In the third group of early-age smokers (20.44), there were 1.96 packs of Marlboro cigarettes, and friends were a factor in smoking. Thus, the three study programs at FST UINSU Medan require a lot of attention from schools, families, and students.

Optimizing portfolio performance in indonesian banking stocks: An empirical application of the markowitz mean-variance framework Pulungan, Ahmad Fauzan; Riri Syafitri Lubis
Desimal: Jurnal Matematika Vol. 8 No. 2 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/nxebn152

This study aims to construct an optimal investment portfolio in Indonesia’s banking sector using the Mean-Variance Markowitz approach. Employing a quantitative descriptive method, the research analyzes monthly closing stock prices of 10 banking companies listed on the Indonesia Stock Exchange from January to December 2024. Data processing was conducted using Microsoft Excel, including return calculation, risk measurement through standard deviation, covariance matrix formation, and portfolio optimization via the Sharpe Ratio. The findings reveal that the optimal portfolio consists of BRIS and PNBN stocks, achieving the highest Sharpe Ratio of 0.6639, which reflects a well-balanced risk-return profile. Conversely, the minimum-risk portfolio yielded a negative return, highlighting that lower risk does not always translate to profit. These results affirm the effectiveness of the Markowitz model in supporting rational investment decision-making, particularly for young investors.

DYNAMICS OF RAINFALL AND TEMPERATURE IN NORTH SUMATRA PROVINCE: COMPREHENSIVE ANALYSIS OF TEMPORAL TRENDS Lubis, Riri Syafitri; Suzana, Yenny; Syarah, Fatmah; Fajriana, Fajriana; Rozi, Fachrur; Nusantara, Badai Charamsar
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 1 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss1pp215-226

This research aims to analyze the temporal trends of rainfall and temperature in North Sumatra Province, focusing on the Medan and Deli Serdang regions. The data used in this study was obtained from the Central Statistics Agency of North Sumatra (BPS Sumut) and spans the period from January 2000 to December 2022. The Mann-Kendall test was applied to identify trends, Sen's Slope Estimator measured the trend slope, and Pearson correlation analysis assessed the relationship between rainfall and temperature. Key findings indicate that Medan has a higher monthly rainfall average than Deli Serdang, with both regions showing a significant increasing trend in rainfall, although the rise is gradual. Additionally, a positive trend in temperature was identified, reflecting broader climate change patterns. However, the correlation between rainfall and temperature was weak, indicating minimal direct interaction between these variables in the study areas. These results contribute valuable insights into climate dynamics and are critical for the development of climate change adaptation strategies in North Sumatra Province.

Prediksi Permintaan BBM Fasilitas Pegawai Menggunakan Simulasi Monte Carlo Pada PT. Pelabuhan Indonesia Regional I Dian Darmawan; Nova Audry Utami; Riri Syafitri Lubis
APPA : Jurnal Pengabdian Kepada Masyarakat Vol 3 No 2 (2025): APPA : Jurnal Pengabdian kepada Masyarakat (INPRESS)
Publisher : Shofanah Media Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Penelitian ini memprediksi kebutuhan Bahan Bakar Minyak (BBM) untuk karyawan PT Pelabuhan Indonesia Regional I selama tiga bulan ke depan (Desember 2024 – Februari 2025) menggunakan simulasi Monte Carlo. simulasi menunjukkan perkiraan konsumsi Solar sebesar 721,72 liter (Desember), 451,96 liter (Januari), dan 451,96 liter (Februari); serta Pertalite sebesar 442,14 liter (Desember), 425,26 liter (Januari), dan 425,26 liter (Februari). Metode ini diharapkan membantu PT Pelindo Regional I dalam mengoptimalkan pengeluaran BBM dan meningkatkan efisiensi operasional .Data konsumsi BBM (Solar dan Pertalite) September-November 2024 digunakan untuk membangun model prediksi

Optimizing Profit-to-Cost Ratios in Bakery Production Using the Hasan–Acharjee Fractional Programming Method Adisty, Fahliza; Lubis, Riri Syafitri
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i2.35738

Production optimization under resource constraints can be effectively modeled using Linear Fractional Programming (LFP), where the objective function is defined as a profit-to-cost ratio. This study applies the Hasan–Acharjee method to optimize production planning in a household-scale bakery enterprise in Indonesia, considering four product types and three resource constraints (materials, labor, and equipment). The model was reformulated as a single linear program and solved using LINGO 21.0. Validation against the classical Charnes–Cooper transformation confirmed identical optimal solutions, demonstrating the robustness of the Hasan–Acharjee approach. Sensitivity and trade-off analyses further revealed how variations in costs and production capacity influence profitability. The results highlight both the theoretical relevance of the Hasan–Acharjee method in fractional programming and its practical applicability to small and medium-sized enterprises seeking efficient resource utilization under limited conditions.

Maksimasi Keuntungan Layanan Jasa Be Clean Laundry Dengan Menerapkan Metode Branch And Bound Syahputra, Bayu Teza; Lubis, Riri Syafitri; Cipta, Hendra
Zeta - Math Journal Vol 6 No 2 (2021): November
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2021.6.2.1-5

The purpose of this research is to find the maximize benefits from Be Clean Laundry business. In optimize laundry business by looking at the limited resources of the business used branch and bound method. Using the branch and bound method assisted by QM software in more optimal laundry, coat 53 kg, doll 32 kg, blanket 95 kg, bedcover 105 kg, gordyn 91 kg, and clothes 805 kg with a profit of Rp. 4.027.000, while the previous profit based on estimate made by the laundry Owner of Rp. 4.000.000 increase of 0,7 %.

Co-Authors Adisty, Fahliza Ahmad Sugarda Ainun Palihah Ananda, Lyra Anggi Pranata Annisa, Nur Alvi Aprilia, Rima Arjuna, Dimas Bagus Aslam, Fazri Aulia Turrizqiya Auliya Ramadhani, Dhea Batu, Annisa Rajaq Lumban Batubara, Fikri Husin Bella Syahrani Nasution Blaster, Irena Br Siahaan, Erika Handayani Cynthia, Mayang Modelina Dara Nurul Hasnah dewi, mutia hatina Dian Darmawan Didik Santoso Didik Santoso Dinda Renata Cecilia Dwi Haprida Ningsih Elma Dwi Ariana Aprilia Zam Fachrur Rozi Fadhliyah, Annisa Fadilatus Sahraini Siregar Fadillah, Yanna Rezki Fajriana, Fajriana Farwansyah, Mhd Rio Fatmawati, Ayu Isnaini Fernando, Anjas Fuja Nauli Pasaribu Giawa, Freddy Gishela Agra Moukia Gurusinga, Ditha Aulia Harleni, Harleni Harleni, Silvia Hasibuan, Elpita Sari Hazizah, Salsabillah Hendra Cipta Heni Pujiastuti Ilham Salim Siregar Ilham Syaputra Indah Kholila Indah, Windi Rezeki Ir Zulkarnain, Ayu Najmita Binti Irena Blaster Ismail Husein, Ismail Kartika , Dinda Khairun Nikmah Lisa Setia Ningsih M Agung Pradana Manurung, Silvi Khairiyah Maudya Nur Azura Mhd Ikhsan Rifki Mohammad Badri Muhammad Arfie Munawar Muhammad Farhan Mingka Muliawan, Hari Nadhila, Nurul Nasution, Alfina Febriani Nasution, Dafa Al Qifti Nasution, Hamidah . Neliwati Neliwati Nenna Irsa Syahputri Nina Amanda nova audry utami Nurmadani Nurmawati Nurmawati Nurmawati Nurul Nadhila Nusantara, Badai Charamsar Oktaviana Oktaviana Palihah, Ainun Pertiwi, Fina Nur Pohan, Siti Rolizah Pradana, M Agung Prasetya, Nurul Huda Pratiwi, Miftah Pulungan, Ahmad Fauzan Putri Harahap, Rahmelia Rahmat Darmawan, Rahmat Rakhmawati, Fibri Rambe, Muhammad Vikry Rezky Riani Dwi Lestari Ricka Afriani Rima Aprilia Rima Aprilia Rina Filia Sari Rina Filia Sari, Rina Filia Rina Sari Filia Rina Widyasari Ritonga, Nurhalimah Rivani Kabrina Br Surbakti Rizkina, Ayu Rizky Mulyani Ropiqoh, Ropiqoh Ropiqoh, Ropiqoh Rusydi Ananda Ruth Mayasari Simanjuntak Sahraini Siregar, Fadilatus Sajaratud Dur Samsudin, Samsudin Sari, Evi Indah Serdano, Akbar Sintia Agustina Siregar Siregar, Evi Borliana Siregar, Evi Borliana Siregar, Fadilatus Sahraini Siregar, Tanti Jumaisyaroh Siti Jubaidah Siti Zunaida Nasution Suci Permata Sari Suendri, Suendri Sulaiman Ananda Harahap Supiah Supiah Susanti, Komaria Susilowati, Rahmi Suzana, Yenny Syafitri, Ellysa Syahfitri, Fatharani Syahputra, Bayu Teza Syahputri, Linna Syahputri, Nenna Irsa Syarah, Fatmah Tanti Jumaisyaroh Siregar Tri Handayani Tri Lutfiah Wardah Turrizqiya, Aulia Utami, Ristika Dian Vani Hajari Wenny Marta Dolok Saribu Widyasari, Rina Widyasari, Rina Windi Rezeki Indah Wulandari Wulandari Wulandari, Mitha Yahfizham Yahfizham Yoffa Sunita Yulanda Novita Zebua Yulinda, Jeni Zakaria Alfikri Sirait

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