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Rakhmawati, Fibri

Universitas Islam Negeri Sumatera Utara, Indonesia

Author-ID : 3455827

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Interactive Digital Storybook: ICT-Based Innovation in Learning the History of Islamic Culture Sulastri; Nur Nasution, Wahyudin; Rakhmawati, Fibri
JIE (Journal of Islamic Education) Vol. 9 No. 1 (2024): JIE: (Journal of Islamic Education) January-June
Publisher : Sekolah Tinggi Ilmu Tarbiyah (STIT) Muhammadiyah Bangil in collaboration with Letiges & Association of Muslim Community in ASEAN (AMCA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52615/jie.v9i1.401

The main challenges in learning the history of Islamic culture include students' perceptions of being more enthusiastic, low student participation, limited teacher staff, and the need to use more ICT-based learning media. This research aims to make interactive digital storybooks a learning tool to deepen their understanding of the history of Islamic culture and create exciting and interactive learning resources that can increase student engagement and expand their knowledge about values, practices and essential events in Islamic culture. This type of research and development uses the ADDIE model (analysis, design, development, implementation and evaluation), with the research subjects being teachers and students of Madrasah Ibtidaiyah Swasta (MIS) Bhakti Mandiri Pematang Siantar, Medan, Indonesia. The results show that interactive digital storybooks significantly increase students' understanding and engagement in learning. However, it's worth being aware of some drawbacks, such as limited accessibility and potential technical issues. Nevertheless, interactive digital storybooks are still an adequate alternative in supporting students' learning about the history of Islamic culture. Limitations of this study include limited accessibility, potential technical problems and difficulties in navigating the interface in interactive digital storybooks. This research implies that interactive digital storybooks are an adequate alternative to support the learning of Islamic cultural history and have the potential to be improved by paying attention to factors such as suitability of content, pleasant design, and teacher involvement.

Analysis of Book Distribution Routes Using the Capacity Vehicle Routing Problem (CVRP) Method Using the Sweep Algorithm Arifta, Ega; Rakhmawati, Fibri
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.12013

Distribution is the process of distributing products from producers to consumers. The ease of consumers in obtaining the desired product is the top priority of every company. In the distribution system, the chosen route is the most important element in determining the distance to be traveled and the costs to be incurred. If the chosen route is optimal, then the distribution system becomes more effective and efficient. Basedon the results of the author's observations, the delivery of goods in the company is still manual and irregular, where the goods are sent from the depot to the consumer and back to the depot so that it takes a lot of time and costs. One solution in solving the distribution problem is the Capacity Vehicle Routing Problem (CVRP). The Sweep algorithm is the simplest clustering method to solve CVRP. In this study, the author used a sweep algorithm because this algorithm is one of the methods that can solve the problem of the distribution route of Quranic books. Based onthe results of the study, researchers compared the distribution route usingthe sweep algorithm and the distributionroute of the previous company, obtained a percentage of total mileage savings of 35.35%, namely from the previous total company mileage of 135.2 Km to 87.4 Km by using the Sweep algorithm. This shows that the CVRP method using the sweep algorithm can provide optimal distance and save company expenses.

Capacitated Vehicle Routing Problem In Optimization Of Waste Truck Routes Using The Particle Swarm Optimization Algorithm Rambe, Siti Rahmi; Rakhmawati, Fibri
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.12595

In this research process, the aim is to determine the shortest route for transporting waste with the shortest or minimum total distance. In this case, what must be considered is the transportation of waste, regarding the distance between the location of the waste source to the landfills. The problem of waste transportation routes can be made in a mathematical method. The method used in waste transportation is the Capacitated Vehicle Routing Problem (CVRP) method. In solving the problem of transporting waste using the CVRP method, distance must be minimized or optimized using the Particle Swarm Optimization Algorithm. On the initial route of work area 1 there is the o-p-q-r-s-o route which has a total distance of 133.5 Km, in which there are several villages such as the Mambang Muda TPA - Belungihit Village - Aek Hitetoras Village - Brussel Plantation Village - Aek Tapa Village - Mambang Muda TPA. And after the latest garbage transportation route uses the PSO algorithm, the optimal distance is 132.5 Km with the o-s-q-r-p-o route where the village is Mambang Muda TPA - Aek Tapa Village - Aek Hitetoras Village - Brussels Plantation Village - Belungihit Village - Mambang Muda Landfill. In WK 2 there is an initial route o-p-q-r-s-o which has a total distance of 153.9 Km, in which the route has several TPA Mambang Muda villages - Marbau Village - Lobu Rampah Village - Simpang 4 Village - Pernantian Plantation Village - Mambang Muda TPA. And after the latest garbage transportation route uses the PSO algorithm, the optimal distance and route is 127.7 Km. In work area 3 with the initial route and distance of 150 and after using the PSO algorithm, the optimal route and distance is 137.1 Km. In work area 4 with a route and distance of 127.8 Km, the optimal route and distance using the PSO algorithm is 149.8 Km. Work area 4 has a route and initial distance of 157.8 Km and the optimal PSO route and distance is 149.8. The 5th working area has an initial distance of 180.3 and the PSO route is 134.3 Km. The working area of the 5 initial routes is 152.4 Km and the PSO route is 152.4.

Pemodelan Regresi Spline Truncated Birespon pada Inflasi dan PDRB Sumatera Utara Sari, Atika Mayang; Sutarman, Sutarman; Rakhmawati, Fibri
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.v7i1.3652

A Nonparametric regression with a truncated biresponse spline approach is a good method in solving the problem of unknown shape of the regression curve. Truncated splines provide high flexibility in estimating curves that have data patterns that tend to change at certain intervals and do not require classic assumption tests. The purpose of this study was to obtain the best biresponse truncated spline regression model for North Sumatra's inflation and GRDP. This study uses qualitative methods and uses secondary data obtained from the Central Bureau of Statistics of North Sumatra. Selection of the best model is determined based on the optimal knot point using the minimum GCV value criteria. The research results obtained are the best spline model with 3 knot points with an MSE value of 1.6028 and a minimum GCV value of 0.0452. The value of response 1 is 14.64% and response 2 is 61.85%. This means that the ability of the predictor variable to explain the variance of the response variable is 14.64% and the remaining 61.85% is influenced by other factors.

Forecasting The Number of Health Center Patient Arrivals Using Cheng’s Fuzzy Time Series Method Aisyah, Aisyah; Rakhmawati, Fibri
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 5, No 2 (2024)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v5i2.20943

Forecasting is the science and art of estimating future events. Forecasting is useful in predicting events covering the short, medium and long term. In the historical data that will be taken and project it into the future so that it involves a forecast, the forecasting involvement uses the amount of data that has been taken. The number of patient arrivals at the health center has increased and decreased every month, this increase and decrease can affect the facilities provided by the health center, so this study intends to do forecasting on the number of health center patient arrivals to meet the service facilities that must be provided. This study was carried out from January 2022 to December 2023 at the Medan Amplas Health center by utilizing Cheng's Fuzzy Times Series method, therefore the results of this calculation were 70,464 patients by getting a MAPE value of 8%.

Application Of Geographically Weighted Panel Regression Based On Seasonal Pattern In Data For The Development Of Dengue Hemorrhagic Fever (DHF) In North Sumatra Province Putri, Dinda Kusuma; Rakhmawati, Fibri
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 5, No 2 (2024)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v5i2.20930

Dengue Hemorrhagic Fever (DHF) is a disease caused by the dengue virus which is transmitted to humans through the bites of Aedes aegypti and Aedes albopictus mosquitoes which were previously infected with the dengue virus from other dengue fever sufferers. This research aims to apply the Geographically Weighted Panel Regression (GWPR) method. in identifying what factors influence the development of Dengue Hemorrhagic Fever in 33 districts in North Sumatra Province starting from September 2022-August 2023 with a rainy and dry season pattern. The results of this research show that the appropriate GWPR model is the fixed effect model with the pepmbobot kerne bisquare function. Based on this model, the districts/cities of North Sumatra are divided into ten groups based on variables with a high significant influence on the percentage of development of Dengue Hemorrhagic Fever. The factors that influence this percentage are gender, namely male and female, then Age, namely ≤ 14 Years and Age ≥ 14 Years.

Perbandingan Metode Aritmatik, Metode Geometrik dan Metode Least Square pada Proyeksi Jumlah Penduduk Indriyani, Indriyani; Rakhmawati, Fibri
Jurnal Pendidikan Matematika : Judika Education Vol 6 No 2 (2023): 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.v6i2.8338

This research aims to 1) Find out the application of these 3 methods and which method is the best in projecting the population in North Sumatra Province, 2) Find out the calculation results of the population in North Sumatra Province in the next 10 years using one of these 3 methods. The methods used are the arithmetic method, geometric method and least square method. The research results show that the least square method has the smallest standard deviation value, namely 525818.9095 compared to the arithmetic method which has a standard deviation value of 539847.056 and the geometric method which has a standard deviation value of 1571337.94. The conclusion is that the least squares method is used in calculating population projections in North Sumatra Province in 2023-2033 because it has the smallest standard deviation value and the results of population projections using the least squares method in 2023 are 15252306 and in 2033 are 16915092. Keyword : Arithmetic Method, Geometric Method And Least Square Method, North Sumatra Province.

Implementasi Metode Adams Bashforth Moulton pada Persamaan Logistik Biner untuk Menganalisis Prediksi Tingkat Pertumbuhan Ekonomi Nabilla, Sofia; Rakhmawati, Fibri
Jurnal Pendidikan Matematika : Judika Education Vol 6 No 2 (2023): 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.v6i2.8369

ABSTRACT This research aims to determine the prediction of the economic growth rate of North Sumatra Province based on the implementation of Adams Bashforth Moulton in the binary logistics equation. The research method used is quantitative using the Adams Bashforth Moulton model with binary logistic equations. The research results show that the predicted level of economic growth in North Sumatra Province is in 2023 it will be 29,561,074.9 rupiah, in 2024 it will be 29,578,899 rupiah, in 2025 it will be 29,596,044.7 rupiah, in 2026 it will be 29,612,536.8 rupiah, in 2027 it will be 29,628,506.6 rupiah, in 2028 it will be 29,643,808.9 rupiah. Every year economic growth increases by an average of 16,877. The conclusion is that the implementation of the Adams Bashforth Moulton Method in the Binary Logistic Equation to Analyze Predictions of the Economic Growth Rate of North Sumatra Province can be categorized as valid in predicting.

Pengembangan media pembelajaran pai berbasis reels instagram untuk meningkatkan minat belajar siswa Akbar, Sabila; Salminawati, Salminawati; Rakhmawati, Fibri
Jurnal EDUCATIO: Jurnal Pendidikan Indonesia Vol 9, No 2 (2023): Jurnal EDUCATIO: Jurnal Pendidikan Indonesia
Publisher : Indonesian Institute for Counseling, Education and Therapy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/1202323204

Penggunaan media non digital ini sudah ada sejak lama sekali dan masih digunakan sampai sekarang sehingga perlu adanya inovasi dan penggunaan teknologi di masa modern ini. Tujuan penelitian ini adalah untuk mengetahui pengembangan media pembelajaran PAI berbasis Reel Instagram, kelayakan media pembelajaran PAI berbasis Instagram, kepraktisan media pembelajaran PAI berbasis Instagram, dan efektivitas implementasi media pembelajaran PAI berbasis Reel Instagram.Metode penelitian ini adalah Research and Development/ R&D yang diterjemahkan kedalam bahasa Indonesia menjadi Perancangan dan Penelitian Pengembangan. Dalam pengembangan media pembelajaran ini, peneliti menggunakan model pengembangan 4D yang merupakan singkatan dari Define, Design, Develop dan Dissemination. Hasil penelitian ini bahwa peingeimbangan meidia meingguinakan meitodei 4D dengan tahapan define, pada tahap ini dilakukan analisis awal masalah, peserta didik, tuigas, konsep dan perumusan tujuan belajar, design, pada tahap ini dilakukan perancangan produk seperti penggunaan media pembelajaran berbasis Instagram, develop, pada tahap ini dilakukan uji validitas dari ahli materi, ahli media dan ahli bahasa kemudian dilakukan uji coba terbatas pada 5 orang siswa MAS TPI Medan keilas XI, dan disseminate, pada tahap ini dilakukan tahap penyebaran pada uji luias pada siswa MAS TPI Medan kelas XI sebanyak 33 orang.Hasil uji kelayakan dari ahli materi 98%, ahli meidia 90% dan ahli bahasa 97%, dengan rata-rata presentasi adalah 95% dan masuk kategori sangat layak. Hasil uji kepraktisan uji terbatas yang dilakukan pada 5 orang siswa mendapatkan skor 76,82%, pada uji kepraktisan luas yang dilakukan pada 33 orang siswa mendapatkan skor 75,48% dengan kategori praktis dan hasil rekapitulasi mendapatkan skor rata-rata 82,21% dengan kategori sangat praktis. Uji efektivitas dilakukan dengan mengimplementasikan media pembelajaran PAI berbasis Instagram dengan skor gain ternormalisasi (N-Gain) 0,58% dan ditunjukkan dalam kategori efektif.

Optimization of Material Requirement Planning Using A Linear Program Nurhajizah, Nurhajizah; Rakhmawati, Fibri; Sutarman, Sutarman
International Conference on Sciences Development and Technology The 2nd ICoSDTech 2022
Publisher : International Conference on Sciences Development and Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (498.088 KB)

This study discusses the optimization of the production cost of dodol using Material Requirement Planning (MRP) with a linear programming to solve the problem of optimizing production costs in the dodol pulut sari business. This study identifies the MRP model, determines the objective and constraint functions of the MRP model, then optimizes the MRP model into a linear programming using the simplex method. There are various constraint function encountered in the company by modeling them into MRP, namely the main raw materials such as pulut, sugar, coconut milk, vanilla, management time, and waiting time for orders. While the objective function is to minimize production costs. The results of the MRP optimization study with a linear programming obtained Rp. 10.368.000 and has a difference with the costs incurred by the company of Rp. 80.000. therefore, the production cost of the MRP model by optimizing the linear programming using the simplex method is more efficient and can be used to solve problems in minimizing production costs.

Co-Authors Ade Al Khairun Ni’mah Br. Sitorus Afri, Lisa Dwi Aisyah Aisyah Akbar, Sabila Alfauzan Ramadhanny Simangunsong Alfauzan Ramadhanny Simangunsong Ana Uzla Batubara Anggi Maulida Anggi Reviani Pulungan Anggini Hasanah Anggriany, Nabila Angraini, Rini Anjelina, Repina Aprillia, Rima Arifta, Ega Arini Arini Aslam, Fazri Asrun Dabutar 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 Dian Maya Sari Ditta Arsyilviasari Dwi Agustin, Susan Dwita Sari, Venny Eka Khairani Hasibuan Ella Budi Lestari Eva Yuliani Fadhillah, Nurul Fakhraini Zahra Afifa Farhan, luthfi Fauza, Gita Dwi Fauziah Azzahra Fauziyyah, Sari Fetrisia Siregar Fikri Nur Ardiansyah Fitri Handayani Fitri Handayani Fitri Hidayah Friska Putri Ariyati Handayani, Septia Hannia Luthfi Hasibuan, Eka Khairani Hasibuan, Mega Utami Hendra Cipta Heni Pujiastuti Huda Prasetya, Nurul Husnul Fadhillah Ika Milia Wahyuni Siregar Ika Regitami Siregar IMRAN SINAGA, ALI Indriyani Indriyani Inka Syahfitri, Fadila Irawan, Dandi Ismail Husein, Ismail Isnani Nurul Deva Jumianti Ritonga Kania Utari Khadijah Khadijah Khairul Annas, Muhammad Ladia Sabrina Latifah Marhamah Harahap Lili Anjar Wati Lubis, Nur Ainun Mangunsong, Elvira Yolanda Marwiyah, Masringgit Masganti Sit Masriah Nasution Maulidya Asrianti Maulidya Asrianti Asrianti Maulidya Khairani Mei Yunina Arianti Mery Fittria Mesiono, Mesiono Mhd. Siddik Sinaga Misbah Batubara 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 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 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 Ratri Nurfitriah Reflina Rhama Desvitha Sari Rifki, Mhd Ikhsan 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 Rora Rizky Wandini RR. Ella Evrita Hestiandari Rully Rumaida Rustam Ruth Mayasari Simanjuntak Safariah Astuti 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 Silvia Harleni Simamora, Hasna Ulpa Ujiah Siregar, Ika Milia Wahyuni Siregar, Machrani Adi Putri Sit, Masganti Siti Chatijah Siti Maysarah Siti Nurhaliza Sri Wahyuni Sri Wahyuni Dalimunthe Suaibah Aslamiyah Harahap SULASTRI Surayya Aulia Susan Dwi Agustin Sutarman Sutarman Sutarman Sutarman Sutarman, Sutarman Syahfitri, Siska Diah Syahputra, Fakhri Ananda Syahputra, Mario Syamsu Nahar Syamsu Nahar Syamsu Nahar Syilviani Syilviani Tanjung, Rani Nurisa Thoibah Thoibah Trima Lestari Wahono, Sielve Suwanda Wahyudin Nur Nasution Wahyudin Nur Nasution, Wahyudin Nur Widyasar, Rina Widyasari, Rina Winda, Tamara Wisnu Syahputra Wulan Dari, Wulan Yahfizam Yahfizam Yahfizam Yahfizham Yahfizham Yaumi Yumna Yuni Kartika Kartika Yusnita Nurul Azzahra Yusra Habibah Laily Zahwa Syah Putri

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