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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Jurnal Mudarrisuna: Media Kajian Pendidikan Agama Islam Kubik Tadrib: Jurnal Pendidikan Agama Islam Jurnal Sains Matematika dan Statistika Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini AL-ATHFAAL : JURNAL ILMIAH PENDIDIKAN ANAK USIA DINI Indonesian Journal of Science and Mathematics Education Desimal: Jurnal Matematika JIE (Journal of Islamic Education) Justek : Jurnal Sains Dan Teknologi JURNAL TARBIYAH Indiktika : Jurnal Inovasi Pendidikan Matematika Zeta - Math Journal Jiko (Jurnal Informatika dan komputer) Jurnal Pendidikan Matematika (JUDIKA EDUCATION) NUSANTARA : Jurnal Ilmu Pengetahuan Sosial Zero : Jurnal Sains, Matematika, dan Terapan AXIOM : Jurnal Pendidikan dan Matematika Jurnal Cendekia : Jurnal Pendidikan Matematika Nazhruna: Jurnal Pendidikan Islam Jurnal Basicedu Aulad : Journal on Early Childhood JOURNAL OF SCIENCE AND SOCIAL RESEARCH MAJAMATH: Jurnal Matematika dan Pendidikan Matematika Jurnal EDUCATIO: Jurnal Pendidikan Indonesia M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Math Educa Journal Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika JP2M (Jurnal Pendidikan dan Pembelajaran Matematika) Journal Ilmiah Rinjani : Media Informasi Ilmiah Universitas Gunung Rinjani Jatilima : Jurnal Multimedia Dan Teknologi Informasi G-Tech : Jurnal Teknologi Terapan Sains dan Matematika Range : Jurnal Pendidikan Matematika TIN: TERAPAN INFORMATIKA NUSANTARA Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Journal of Computer Networks, Architecture and High Performance Computing Jurnal Natural G-Couns: Jurnal Bimbingan dan Konseling KUBIK: Jurnal Publikasi Ilmiah Matematika Asimetris: Pendidikan Matematika dan Sains Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) FARABI: Jurnal Matematika dan Pendidikan Matematika Leibniz: Jurnal Matematika Algebra : Jurnal Pendidikan, Sosial, dan Sains Jurnal IPTEK Bagi Masyarakat Journal of Mathematics and Scientific Computing With Applications Relevan Jurnal Informatika Teknologi dan Sains (Jinteks) Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Journal of Mathematics Instruction, Social Research and Opinion Journal of General Education and Humanities Jurnal Basicedu Abdimas Indonesian Journal Journal of Community Dedication International Conference on Sciences Development and Technology Euclid Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika SATIN - Sains dan Teknologi Informasi JME Mahir : Jurnal Ilmu Pendidikan dan Pembelajaran Jurnal Pema Tarbiyah Jurnal Manuhara: Pusat Penelitian Ilmu Manajemen Dan Bisnis Jurnal Pendidikan Islam Santri : Jurnal Ekonomi dan Keuangan Islam Algebra Quadratic: Journal of Innovation and Technology in Mathematics and Mathematics Education Parameter: Jurnal Matematika, Statistika dan Terapannya Unnes Journal of Mathematics Education Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa FIKROTUNA: Jurnal Pendidikan dan Manajemen Islam Advance Sustainable Science, Engineering and Technology (ASSET) Relevan : Jurnal Pendidikan Matematika JME (Journal of Mathematics Education) Journal of Islamic Education Media Pendidikan Matematika
Rakhmawati, Fibri
Universitas Islam Negeri Sumatera Utara, Indonesia
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Journal : Journal of Mathematics and Scientific Computing With Applications

 1 
CLUSTER ANALYSIS TO CLASSIFY THE LEVEL OF SOCIAL WELFARE OF THE COMMUNITY IN DELI SERDANG REGENCY USING FUZZY C-MEAN CLUSTERING DURING THE COVID-19 PANDEMIC Salasa Riana, Dwi; Rakhmawati, Fibri; Widyasari, Rina
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 | Full PDF (1064.834 KB) | DOI: 10.53806/jmscowa.v3i2.77

Abstract

The Covid-19 pandemic has greatly affected the social welfare of the affected communities in each region. Based on data sources that there are many people who have lost their jobs and lack of income, the government provides a number of assistances to help people affected by covid-19. This study uses data on the number of reciptients of cash social assistance (BST) in Deli Serdang Regency in 2020 which aims to look at the problems of assistance received by the community towards the social welfare of the community. This study uses fuzzy c-mean clustering method because social welfare groupings can be grouped appropriately. Based on the results of fuzzy c-mean clustering analysis will produce three clusters that have different characteristics. The sub-district included in cluster 1, namely Hamparan Perak, Percut Sei Tuan, Sunggal, Tanjung Morawa are sub-districs that have a low level of welfare during the covid-19 pandemic because in these sub-districs the population is more than other sub-districs. Located in Deli Serdang regency.
FORECASTING THE NUMBER OF PASSENGERS FOR THE MEDAN-KUALANAMU TRAIN WITH TIME INVARIANT FUZZY TIME SERIES METHOD Nasution, Pauziah; Huda Prasetya, Nurul; Rakhmawati, Fibri
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 | Full PDF (1239.711 KB) | DOI: 10.53806/jmscowa.v3i2.78

Abstract

For forecasting, a forecasting model is needed. Forecasting to find out the increase or even decrease for the departure of Medan - Kualanamu for the next few years. Then the value generated by fuzzy logic is not yes, which has a value of 1, and is not worth 0. Time series is data that is collected from time to time, to describe the development of an activity. From the case of forecasting the number of passengers of the Medan-Kualanamu Train, the author will use the Time Invariant Fuzzy Time Series method. Based on the research, it is obtained that the forecasting of the number of passengers of the Medan-Kualanamu / Kualanamu-Medan train in 2021 is 182,874.9; and 2022 is 266,527,510.6 with AFER is 2,5%.
FORECASTING THE USE OF OKE JACK COMPANY’S ONLINE TRANSPORTATION IN MEDAN USING THE CHENG FUZZZY TIME SERIES METHOD Sari, Dinda; Dur, Sajaratud; Rakhmawati, Fibri; Anjelina, Repina
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 | Full PDF (954.413 KB) | DOI: 10.53806/jmscowa.v3i2.116

Abstract

Transportation is an activity to move goods or people from one place to another. At present, transportation is very much needed by all groups to carry out an activity. Along with the development of the times and with the development of the times and with the existence of an internet, now many enterpreneurs are opening a business such as online transportation. This study uses the Fuzzy Time Series Cheng method in his research to see how accurate the model is to predict the future period. The results of the research using the Fuzzy Time Series Cheng method on the five service features in the Oke Jack, it was found that some of these service features resulted in MAPE error values below 10%, which is the best measure.
IMPLEMENTATION OF EXPONENTIAL SMOOTHING METHOD IN THE NUMBER OF DIVORCE RATE IN INDONESIA Yuliani, Eva; Rakhmawati, Fibri; Husein, Ismail
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 1 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v3i1.526

Abstract

The divorce rate in Indonesia from 2007 to 2020 has increased. The increase in the divorce rate in Indonesia has an impact on the mental condition of children. The purpose of this study is to find out the results of the number of divorce rates in Indonesia in 2021-2022 and to see which accuracy is more accurate between the Double Exponential Smoothing Method and the Triple Exponential Smoothing Method. Comparison between the Double Exponential Smoothing Method and the Triple Exponential Smoothing Method which has more accurate forecasting, namely the Double Exponential Smoothing Method with parameter values and the MAPE value of 14.27%, the equation for forecasting the divorce rate in Indonesia is . The results of the study show that the divorce rate in Indonesia will increase in 2021 with 285,903 cases and decrease in 2022 with 268,649 cases.
CLUSTER ANALYSIS TO CLASSIFY THE LEVEL OF SOCIAL WELFARE OF THE COMMUNITY IN DELI SERDANG REGENCY USING FUZZY C-MEAN CLUSTERING DURING THE COVID-19 PANDEMIC Salasa Riana, Dwi; Rakhmawati, Fibri; Widyasari, Rina
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.v3i2.77

Abstract

The Covid-19 pandemic has greatly affected the social welfare of the affected communities in each region. Based on data sources that there are many people who have lost their jobs and lack of income, the government provides a number of assistances to help people affected by covid-19. This study uses data on the number of reciptients of cash social assistance (BST) in Deli Serdang Regency in 2020 which aims to look at the problems of assistance received by the community towards the social welfare of the community. This study uses fuzzy c-mean clustering method because social welfare groupings can be grouped appropriately. Based on the results of fuzzy c-mean clustering analysis will produce three clusters that have different characteristics. The sub-district included in cluster 1, namely Hamparan Perak, Percut Sei Tuan, Sunggal, Tanjung Morawa are sub-districs that have a low level of welfare during the covid-19 pandemic because in these sub-districs the population is more than other sub-districs. Located in Deli Serdang regency.
FORECASTING THE NUMBER OF PASSENGERS FOR THE MEDAN-KUALANAMU TRAIN WITH TIME INVARIANT FUZZY TIME SERIES METHOD Nasution, Pauziah; Huda Prasetya, Nurul; Rakhmawati, Fibri
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.v3i2.78

Abstract

For forecasting, a forecasting model is needed. Forecasting to find out the increase or even decrease for the departure of Medan - Kualanamu for the next few years. Then the value generated by fuzzy logic is not yes, which has a value of 1, and is not worth 0. Time series is data that is collected from time to time, to describe the development of an activity. From the case of forecasting the number of passengers of the Medan-Kualanamu Train, the author will use the Time Invariant Fuzzy Time Series method. Based on the research, it is obtained that the forecasting of the number of passengers of the Medan-Kualanamu / Kualanamu-Medan train in 2021 is 182,874.9; and 2022 is 266,527,510.6 with AFER is 2,5%.
FORECASTING THE USE OF OKE JACK COMPANY’S ONLINE TRANSPORTATION IN MEDAN USING THE CHENG FUZZZY TIME SERIES METHOD Sari, Dinda; Dur, Sajaratud; Rakhmawati, Fibri; Anjelina, Repina
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.v3i2.116

Abstract

Transportation is an activity to move goods or people from one place to another. At present, transportation is very much needed by all groups to carry out an activity. Along with the development of the times and with the development of the times and with the existence of an internet, now many enterpreneurs are opening a business such as online transportation. This study uses the Fuzzy Time Series Cheng method in his research to see how accurate the model is to predict the future period. The results of the research using the Fuzzy Time Series Cheng method on the five service features in the Oke Jack, it was found that some of these service features resulted in MAPE error values below 10%, which is the best measure.
IMPLEMENTATION OF EXPONENTIAL SMOOTHING METHOD IN THE NUMBER OF DIVORCE RATE IN INDONESIA Yuliani, Eva; Rakhmawati, Fibri; Husein, Ismail
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 1 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v3i1.526

Abstract

The divorce rate in Indonesia from 2007 to 2020 has increased. The increase in the divorce rate in Indonesia has an impact on the mental condition of children. The purpose of this study is to find out the results of the number of divorce rates in Indonesia in 2021-2022 and to see which accuracy is more accurate between the Double Exponential Smoothing Method and the Triple Exponential Smoothing Method. Comparison between the Double Exponential Smoothing Method and the Triple Exponential Smoothing Method which has more accurate forecasting, namely the Double Exponential Smoothing Method with parameter values and the MAPE value of 14.27%, the equation for forecasting the divorce rate in Indonesia is . The results of the study show that the divorce rate in Indonesia will increase in 2021 with 285,903 cases and decrease in 2022 with 268,649 cases.
Co-Authors Ade Al Khairun Ni’mah Br. Sitorus Afri, Lisa Dwi Aisyah Aisyah Akbar, Sabila Alfauzan Ramadhanny Simangunsong Ammamiarihta Ammamiarihta Ana Uzla Batubara Andhany, Ella Andini, Rizka Tri Anggi Maulida Anggi Reviani Pulungan Anggini Hasanah Anggriany, Nabila Angraini, Rini Anjelina, Repina Aprillia, Rima Arianti, Mei Yunina Arifta, Ega Arini Arini Aslam, Fazri Asrun Dabutar Astuti, Safariah 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 Erdisyah Yusuf, Kinanti 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 Hasanah , Rusi Ulfa Hasibuan, Eka Khairani Hasibuan, Mega Utami 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 Mei Yunina Arianti Mery Fittria Mery Fittria Mesiono, Mesiono Mhd Ikhsan Rifki Mhd. Siddik Sinaga Misbah Batubara Muhammad Fery Prayoga Muhammad Husen Ritonga Muhammad Ilham Syahputra Muhammad Iqbal Fahri 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 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 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 Rora Rizky Wandini RR. Ella Evrita Hestiandari Rully Rumaida Rustam Ruth Mayasari Simanjuntak 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 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 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 Yumna, Yaumi Yuni Kartika Kartika Yusnita Nurul Azzahra Yusra Habibah Laily Zahwa Syah Putri