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Rakhmawati, Fibri

Universitas Islam Negeri Sumatera Utara, Indonesia

Author-ID : 3455827

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Clustering Flood Prone Areas in Deli Serdang Regency Using Density-Based Spatial Clustering Of Application With Noise (DBSCAN) Method Nurmadani, Nurmadani; Rakhmawati, Fibri
Desimal: Jurnal Matematika Vol. 6 No. 2 (2023): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v6i2.19043

Deli Serdang Regency is the most frequently flooded area in North Sumatra Province, causing many casualties and other losses to residents in flooded areas. Deli Serdang Regency has 22 sub-districts, each of which has a different level of flood vulnerability. Efforts are needed to categorize the level of flood vulnerability that needs to be watched out for in Deli Serdang Regency. The clustering used in this research is Density-Based Spatial Clustering Applications with Noise (DBSCAN). The purpose of this study is to determine the level of proneness to flooding in each region in 2022 in Deli Serdang Regency. The clustering results in this study concluded that using the DBSCAN algorithm, we obtained 2 clusters and 4 noise with a silhouette coefficient value of 0.395050089 with Epsilon 1.19 and MinPts 3. From the silhouette coefficient results, it can be concluded that the cluster structure obtained is weak because, with more variables, the calculation of distance based on density becomes invalid.

Klasifikasi Cryptocurrency Menggunakan Multi Channel Clustering Syahputra, Mario; Rakhmawati, Fibri
Jurnal Pendidikan Matematika : Judika Education Vol. 8 No. 3 (2025): Jurnal Pendidikan Matematika:Judika Education
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/judika.v8i3.15218

This study aims to (1) classify cryptocurrencies based on the integration of market data and on-chain data to provide a more accurate mapping of digital asset characteristics. The method used is Multi-Channel Clustering, which enables the combination of multiple data views (multi-view) in the clustering process. The data includes market capitalization, trading volume, percentage gain, and volatility from the market data channel, as well as coin supply and active addresses from the on-chain channel. All data were normalized using the Min-Max Normalization method to ensure scale uniformity across variables. The clustering process was carried out using a K-Means algorithm adapted for the multi-channel context. The results of the study identified three main clusters: Cluster 1 contains coins with medium to low market and on-chain activity characteristics such as Tron and Cro; Cluster 2 includes coins with high volume and significant on-chain activity but not dominant, such as Ethereum and Solana; and Cluster 3 consists solely of Bitcoin, which has a unique profile in both channels. In conclusion, the Multi-Channel Clustering method proves effective in producing a more comprehensive classification of cryptocurrencies and can serve as a decision-support tool in highly volatile and complex market environments. Keywords: Cryptocurrancy, Classification, Multi-Channel Clustering.

Implementation of Mixed Integer Programming Using the Branch and Bound Algorithm in Optimizing the Profit of a Chips Enterprise Syahfitri, Fadila Inka; Rakhmawati, Fibri
Parameter: Jurnal Matematika, Statistika dan Terapannya Vol 4 No 2 (2025): Parameter: Jurnal Matematika, Statistika dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/parameterv4i2pp209-222

Keripik Cinta Mas Hendro is a micro, small, and medium enterprise (MSME) operating in the snack industry, specializing in the production of various types of chips. This MSME struggles to determine the optimal production quantity due to limited resources, inconsistent raw material supply, and fluctuating market demand. This study aims to optimize the production quantity for each product variant using the Mixed Integer Programming approach with the Branch and Bound method. The Branch and Bound method were specifically chosen as it effectively handles decision variables that must be integers, which was critical in real-world production settings where fractional outputs are not feasible. The results showed that after optimization, production becomes more efficient, with allocations including: 2,100 packages of 500g Balado chips, 836 of 500g Sweet Corn, 4,500 of 500g Sweet and Spicy, 350 of 500g Seaweed, 8,527 of 1000g Original, 158 of 1000g Balado, 125 of 1000g Sweet Corn, 215 of 1000g Sweet and Spicy, 150 of 1000g Seaweed, along with 185 kg of Balado chips and 176.38 kg of Sweet and Spicy. As a result, the optimization increases profit from IDR 249,840,000 to IDR 360,791,500, reflecting a gain of IDR 110,951,500 or approximately 44.42%.

Pengaruh Pola Asuh Orang Tua dan Peran Guru terhadap Pendidikan Karakter Religius Anak Usia Dini di TK ABA 14 Syahfitri, Siska Diah; Khadijah, Khadijah; Rakhmawati, Fibri
Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini Vol. 9 No. 5 (2025)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/obsesi.v9i5.7033

Penelitian ini bertujuan untuk mengkaji hubungan antara pola asuh orang tua dan peran guru terhadap pendidikan karakter religius anak usia dini (5–6 tahun) di TK ABA 14. Desain penelitian menggunakan pendekatan kuantitatif korelasional. Instrumen yang digunakan berupa angket terstandar untuk mengukur pola asuh orang tua dan peran guru, serta lembar observasi yang dikembangkan sendiri untuk menilai karakter religius anak. Hasil analisis menunjukkan terdapat korelasi positif dan signifikan antara pola asuh demokratis (r = 0,54; p < 0,05) serta keterlibatan guru (r = 0,48; p < 0,05) dengan pembentukan karakter religius anak, khususnya pada aspek kejujuran, tanggung jawab, empati, disiplin, dan kasih sayang. Penelitian ini merekomendasikan pentingnya kolaborasi antara orang tua dan guru dalam mendukung pengembangan karakter religius anak usia dini di lembaga pendidikan berbasis agama Islam.

Pengaruh Disiplin Orang Tua dan Keterlibatan Guru terhadap Perkembangan Agama dan Moral Anak Usia 5 -6 Tahun di RA Al – Hikmah Namorambe Nursalum, Raisa; Khadijah, Khadijah; Rakhmawati, Fibri
Aulad: Journal on Early Childhood Vol. 8 No. 2 (2025): May-Agustus 2025
Publisher : Perkumpulan Pengelola Jurnal PAUD Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/aulad.v8i2.1129

Studi ini didasarkan pada asumsi bahwa lingkungan keluarga dan sekolah memiliki peran sentral dalam pembentukan karakter anak, khususnya pada masa usia emas. Penelitian ini menggunakan pendekatan kuantitatif dengan metode korelasi untuk menganalisis hubungan antara variabel independen (disiplin orang tua dan keterlibatan guru) dan variabel dependen (perkembangan religius dan moral anak). Data dikumpulkan melalui angket yang diisi oleh orang tua dan guru, kemudian dianalisis menggunakan regresi linier berganda untuk mengidentifikasi kontribusi masing-masing faktor. Hasil penelitian menunjukkan bahwa terdapat hubungan positif antara disiplin orang tua serta keterlibatan guru dengan perkembangan religius dan moral anak. Disiplin orang tua memberikan kontribusi signifikan dalam membentuk perilaku religius dan moral, sementara keterlibatan guru juga terbukti memperkuat nilai-nilai tersebut melalui interaksi edukatif di lingkungan sekolah. Kesimpulan dari penelitian ini menegaskan bahwa sinergi antara peran keluarga dan institusi pendidikan sangat penting dalam pembentukan karakter religius dan moral anak usia dini.

Investment Risk Analysis Using Value at Risk With Monte Carlo Simulation: Investment risk analysis Cellia Clara, Nur; Rakhmawati, Fibri
RANGE: Jurnal Pendidikan Matematika Vol. 7 No. 1 (2025): Range Juli 2025
Publisher : Pendidikan Matematika UNIMOR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jpm.v7i1.9692

This study aims to evaluate and compare the investment risk levels of three primary financial instruments in Indonesia: the Indonesia Composite Index (IHSG), Bank Central Asia (BCA) with code BBCA stock, and gold. Using the Value at Risk (VaR) approach based on Monte Carlo simulation, the research integrates these assets into a unified risk assessment model, providing a more comprehensive perspective than prior studies that typically examine individual assets or use historical estimation methods. Monthly historical price data from April 2024 to March 2025 were obtained from the Indonesia Stock Exchange and the Central Bureau of Statistics. The analysis involved calculating asset returns, means, and standard deviations, followed by 10,000 Monte Carlo simulation iterations to generate potential future price paths and estimate losses under market uncertainty. The results, at a 95% confidence level, show that IHSG carries the highest investment risk, with a VaR of IDR 9,331.16, followed closely by BBCA stock at IDR 9,210.31. Gold exhibited the lowest risk level, with a VaR of IDR 6,896.86, confirming its role as a more stable and less volatile investment compared to equity-based assets. These findings highlight the reliability of gold as a defensive asset during turbulent market conditions. The application of Monte Carlo simulation effectively captures the non-normal distribution of returns and accommodates complex market behaviors, making it a robust tool for financial risk modeling. This research offers meaningful insights for investors, analysts, and academics in optimizing portfolio strategies and improving risk management decisions.

Comparative Analysis of the Fuzzy Time Series Chen and Rungge Kutta Felhberg Methods for Forecasting the Number of HIV/AIDS in the Province of North Sumatra Wahono, Sielve Suwanda; Rakhmawati, Fibri
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 3 (2025): Articles Research July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i3.6851

The increase in HIV/AIDS cases in North Sumatra Province requires accurate forecasting methods to support prevention and control programs. Accurate predictions of the number of cases will help stakeholders design more targeted interventions and allocate resources effectively. This study aims to compare the performance of the Chen Fuzzy Time Series method and the Runge-Kutta Fehlberg numerical method in forecasting the number of HIV/AIDS cases in North Sumatra Province. The data used are monthly HIV/AIDS case data obtained from the North Sumatra Provincial Health Office. The Chen Fuzzy Time Series method is applied to capture patterns in data that are uncertain and ambiguous, while the RKF method is used to solve the logistic growth model that represents the development of cases. Forecasting accuracy was evaluated using the Mean Absolute Percentage Error (MAPE) metric. The results showed that the RKF method produced a lower MAPE value compared to the Chen Fuzzy Time Series method, indicating higher prediction accuracy. The RKF method provides more stable predictions for the next three months and is closer to the actual trend, while the Chen Fuzzy Time Series method shows slightly larger deviations but remains useful for imprecise data. In conclusion, both methods can be used for HIV/AIDS case forecasting, but the RKF method is proven to be superior in accuracy for the data used in this study.

Comparison of the Cheng and Lee Fuzzy Time Series Methods for Predicting Clean Water Supply in Asahan Regency Prayetno, Rafika Sari; Rakhmawati, Fibri
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 03 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i03.1631

This study compares the performance of the Fuzzy Time Series (FTS) Cheng and Lee methods in forecasting the distribution, production, and sales of clean water at Perumda Tirta Silaupiasa, Asahan Regency. The research utilized monthly secondary data from January 2023 to April 2025. Data analysis was conducted using R-Studio software, and forecasting accuracy was evaluated through the Mean Absolute Percentage Error (MAPE). The results show that both methods achieved a high level of accuracy, with MAPE values below 3%. However, the Cheng method consistently outperformed the Lee method, recording MAPE values of 2.28% (distribution), 1.59% (production), and 1.63% (sales), while the Lee method produced slightly higher values of 2.45%, 1.83%, and 1.77% for the same variables. These findings demonstrate that the Cheng method is more adaptive in capturing fluctuations in clean water data, especially during periods of sudden changes. This research provides practical recommendations for improving clean water supply management in regions with dynamic operational conditions

Optimization of LPG Gas Cylinder Distribution Costs in the Vehicle Routing Problem Using Dijkstra's Algorithm and Prim's Algorithm Rambe, Muhammad Vikry Rezki; Fibri Rakhmawati
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 03 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i03.1646

This research aims to optimize the distribution costs of 3 kg LPG at PT Irit Gas thru Vehicle Routing Problem modeling. Data for 2024 includes 11 points (1 depot, 10 customers). The cost matrix is formed using Dijkstra's Algorithm on a weighted graph constructed from Haversine distances thru a k-nearest neighbors approach, ensuring that the cost between location pairs reflects the shortest path on the network. Prim's algorithm was then used to build a Minimum Spanning Tree as the basis for distance-efficient customer clustering, which was subsequently cut according to the vehicle capacity limit of 560 tubes per trip, before the visit sequence was reordered based on the shortest distance. The results show three feasible routes: Route 1 (500 tubes) 11.08212 km, Route 2 (550 tubes) 28.11148 km, and Route 3 (480 tubes) 53.13001 km; total 92.32361 km. With an efficiency of 5 km/l and a diesel price of Rp6,800/l, the estimated fuel costs are Rp15,071.68; Rp38,231.61; and Rp72,256.81 respectively (total Rp125,560.11). The findings confirm that the Dijkstra Prim combination effectively produces short, connected, and capacity compliant routes, while also providing realistic operational cost estimates for distribution decision-making.

Prosedur Pengerjaan pada Sistem Digital BRIMEN pada PT BRI (Persero) Tbk. Kantor Wilayah Medan Mutiara Amanda; Ditta Arsyilviasari; Syilviani Syilviani; Fetrisia Siregar; Fibri Rakhmawati
SANTRI : Jurnal Ekonomi dan Keuangan Islam Vol. 3 No. 4 (2025): Agustus : SANTRI : Jurnal Ekonomi dan Keuangan Islam
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/santri.v3i4.1830

The use of BRIMEN (BRI Document Management System) in digital document processing operations during internship activities at the Medan Regional Office of PT Bank Rakyat Indonesia (Persero) Tbk. is the main focus of this article. The objective of this study is to understand how the BRIMEN system contributes to the storage, retrieval, and classification of documents, particularly in relation to credit document management. This system was introduced to address common issues found in manual archiving, such as limited storage space, difficulties in document retrieval, and the risk of errors in preserving clients’ physical records. The research employed a descriptive qualitative approach through direct observation and active participation in daily workflows. The findings indicate that BRIMEN significantly improves operational efficiency by providing a more systematic and secure digitalization procedure for banking documents. The system not only reduces the risk of loss or damage to physical archives but also accelerates the process of data retrieval when required by work units. Through its classification and tracking features, BRIMEN ensures better consistency between digital data and physical documents, although several technical challenges remain, such as restricted access to storage rooms and difficulties in scanning older or non-standard documents. Overall, the results highlight the importance of implementing a well-structured digital document management system to support the smooth operation of modern banking institutions. BRIMEN represents a tangible step in BRI’s digital transformation, strengthening data security while simultaneously improving the quality of credit services delivered to customers. With continuous improvement, this system has the potential to serve as a model for digital document management that can be more widely adopted across Indonesia’s banking sector.

Co-Authors Abiy Muhanna Adawiyah Ritonga Ade Al Khairun Ni’mah Br. Sitorus Afri, Lisa Dwi Aisyah Aisyah Akbar, Sabila Ammamiarihta Ammamiarihta Ana Uzla Batubara Andhany, Ella Anggi Maulida Anggi Reviani Pulungan Anggini Hasanah Anggriany, Nabila Angraini, Rini Anjelina, Repina Aprillia, Rima Arianti, Mei Yunina Arifta, Ega Arini Arini Aslam, Fazri Asrianti, Maulidya Asrianti Asrun Dabutar Astuti, Safariah Aulia Herdiyanti Aulia Rahma Tambusai Azura, Fatma Mayzatul Batubara, Misbah Bella Syahrani Nasution Bella Syahrani Nasution Cahyani, Widya Wahyu Cellia Clara, Nur Dalimunthe, Sri Wahyuni Daulay, Lily Sardiani Dedy Juliandri Panjaitan Deva Rezky Ramadhani Devi Umi Solehah Devika Muhyar Ritonga Devy Rahmadani Dian Maya Sari Dian Maya Sari Ditta Arsyilviasari Dwi Agustin, Susan Dwi Ardy Dermawan Dwita Sari, Venny Eka Khairani Hasibuan Ella Budi Lestari Erdisyah Yusuf, Kinanti Eva Yuliani Fadhillah, Nurul Fakhraini Zahra Afifa Fakhrur Rozi Nasution Farhan, luthfi Fauza, Gita Dwi Fauziah Azzahra Fauziyyah, Sari Fetrisia Siregar Fikri Nur Ardiansyah Fitri Handayani Fitri Handayani Fitri Hidayah Friska Putri Ariyati Hasibuan, Eka Khairani hasibuan, Seri minta uba Hendra Cipta Heni Pujiastuti Huda Prasetya, Nurul Husnul Fadhillah Ika Milia Wahyuni Siregar Ika Regitami Siregar IMRAN SINAGA, ALI Indriyani Indriyani Irawan, Dandi Ismail Husein, Ismail Isnani Nurul Deva Isnanita, Nur Jumianti Ritonga Juwita, Jenni Kamalia, Lailatun Nur Kania Utari Khadijah Khadijah Khairul Annas, Muhammad Latifah Marhamah Harahap Lestari, Devi Tri Lili Anjar Wati Lubis, Nur Ainun Luthfi, Hannia Mangunsong, Elvira Yolanda Marwiyah, Masringgit Masganti Sit Masriah Nasution Maulidya Asrianti Maulidya Khairani Mega Utami Hasibuan Mei Yunina Arianti Mery Fittria Mery Fittria Mesiono, Mesiono Mhd Ikhsan Rifki Mhd. Siddik Sinaga Misbah Batubara Muhammad Fahri Akmal Muhammad Fery Prayoga Muhammad Husen Ritonga Muhammad Ilham Syahputra Muhammad Iqbal Fahri Muhammad Khairul Annas Muhammad Nuh Muhammad Reja Sinaga Muhammad Ridwan Muhammad Yasir Mukminah Mardiah Mutiara Amanda Nabilla, Sofia Nahar, Syamsu Nanda Maylany Akbar Nasution, Ainil Hafizha Nasution, Masriah Nasution, Pauziah Neliwati Neliwati Nenna Irsa Syahputri Nenna Irsa Syahputri Ningsih, Titik Ni’mah Br. Sitorus, Ade Al Khairun Nur Aini Tarigan Nur Lela Nur Leli Nur Nabilah Yusuf Br Nasution Nur Nasution, Wahyudin Nur Syahidah Ayu Nurhajizah, Nurhajizah Nurjanah Nurjanna Nurjanna Nurjannah Nasution Nurma Indah Sari Nurma Sari Nurmadani, Nurmadani Nurmawati Nurmawati Nurmawati Nurmawati Nursalum, Raisa NURUL QOMARIYAH Perli Pujiana Prayetno, Rafika Sari Puji Syahputri Putra, Fani Darmawan Putri Miranti Harahap Putri Rahma Novia Putri, Dinda Kusuma Rahmadani, Devy Rahmaini Rahmaini Rahmaini Rahmi, Yulia Rahmita, Nelly Ramadhani, Rika Rambe, Dwi Wahyuni Rambe, Muhammad Vikry Rezki Rambe, Siti Rahmi Rangkuti, Abriadi Rangkuti, Robiatul Adawiyah Rani Endriani Rani Nurisa Tanjung Ratri Nurfitriah Reflina Rhama Desvitha Sari Rima Aprilia Rima Aprilia Rima Aprilia Rina Filia Sari Rina Filia Sari Rina Filia Sari, Rina Filia Rina Widyasari Rina Widyasari Rini Ade Willana Riri Syafitri Lubis Ritonga, Devika Muhyar Ritonga, Muhammad Husen Rizka Tri Andini Rora Rizky Wandini RR. Ella Evrita Hestiandari Rully Rumaida Rusi Ulfa Hasanah Rustam Ruth Mayasari Simanjuntak Sabrina, Ladia safitri, yayang Sajaratud Dur Sajaratud Dur Sajaratud Dur Sajaratud Dur, Sajaratud Salasa Riana, Dwi Salminawati Sari Fauziyyah Sari, Atika Mayang Sari, Dinda Sekar Ayu Irawan Selly Madela Br Ginting Seprina, Dita Septia Handayani Silvia Harleni Simamora, Hasna Ulpa Ujiah Simangunsong, Alfauzan Ramadhanny Siregar, Ika Milia Wahyuni Siregar, Machrani Adi Putri Sit, Masganti Siti Chatijah Siti Maysarah Siti Nurhaliza Sri Fatimah Sri Wahyuni Sri Wahyuni Dalimunthe Suaibah Aslamiyah Harahap SULASTRI Surayya Aulia Susan Dwi Agustin Sutarman Sutarman Sutarman Sutarman Sutarman, Sutarman Syahfitri, Fadila Inka Syahfitri, Siska Diah Syahputra, Fakhri Ananda Syahputra, Mario Syamsu Nahar Syamsu Nahar Syamsu Nahar Syamsu Nahar Syaputri Batubara, Fauziyah Syilviani Syilviani Tambusai, Aulia Rahma Tanjung, Rani Nurisa Thoibah Thoibah titin anisa tanjung Trima Lestari Uswatun Hasanah Nasution Wahono, Sielve Suwanda Wahyudin Nur Nasution Wahyudin Nur Nasution, Wahyudin Nur Widya Afriani Widya Wahyu Cahyani Widyasar, Rina Widyasari, Rina Winda, Tamara windi veber yanti sembiring Wisnu Syahputra Wulan Dari, Wulan Yahfizam Yahfizam Yahfizam Yahfizham Yahfizham Yumna, Yaumi Yuni Kartika Kartika Yusnita Nurul Azzahra Yusra Habibah Laily Zahwa Syah Putri

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