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Perbandingan Metode Triple Exponential Smoothing dan ARFIMA pada Peramalan Nilai Tukar Rupiah terhadap Dollar Amerika Zedha, Hazulil Fitriah; Siregar, Silvy Amelia; Rahmi, Rizqa Maulida; Jannah, Syarifah Raihannatul; Sandi, Riski Friyah Hari; Irawan, Anjas; Anwar, Samsul
Jurnal Sains Matematika dan Statistika Vol 11, No 1 (2025): JSMS Januari 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jsms.v11i1.23833

Abstract

Stabilitas nilai tukar Rupiah (Rp) terhadap Dollar Amerika (USD) sangat penting dalam upaya menjaga stabilitas perekonomian nasional. Penelitian ini bertujuan untuk meramalkan nilai tukar Rp terhadap USD pada tahun 2022 hingga 2024. Data yang dianalisis adalah data bulanan nilai tukar Rp terhadap USD pada periode bulan Januari 2001 hingga bulan Juni 2022 (258 observasi). Metode peramalan yang digunakan dalam penelitian ini adalah metode Triple Exponential Smoothing (TES) dan Autoregressive Fractional Integrated Moving Average (ARFIMA). Hasil pengujian menunjukkan bahwa metode TES memiliki kemampuan yang lebih baik dalam meramalkan nilai tukar Rp terhadap USD jika dibandingkan dengan metode ARFIMA. Berdasarkan hasil peramalan dengan menggunakan metode TES, nilai tukar Rp diperkirakan akan mengalami pelemahan pada bulan Maret hingga Juni pada setiap tahunnya. Nilai tukar terendah diprediksi akan terjadi pada bulan Maret 2024 yaitu sebesar Rp.14.755/USD dengan selang kepercayaan 95% antara Rp.12.209/USD hingga Rp. 17.302/USD. Kata Kunci:  Arfima, dollar amerika, nilai tukar rupiah, triple exponential smoothing.
Peramalan Tonase Sampah TPST Bantargebang Sebagai Upaya Awal Penanganan Masalah Sampah Daerah Khusus Jakarta Zedha, Hazulil Fitriah; Anwar, Samsul; AR, Fitriana
Jurnal Kesehatan Lingkungan Indonesia Vol 24, No 3 (2025): Oktober 2025
Publisher : Master Program of Environmental Health, Faculty of Public Health, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jkli.67624

Abstract

Latar belakang: Salah satu masalah lingkungan yang timbul akibat semakin bertambahnya jumlah penduduk yang disertai dengan perubahan pola hidup di Daerah Khusus Jakarta (DKJ) adalah pengelolaan sampah yang semakin kompleks dengan kuantitas yang mencapai 7.000 ton/harinya. Penelitian ini bertujuan untuk meramalkan tonase sampah yang mungkin dihasilkan pada masa yang akan datang sebagai salah satu upaya awal dalam membantu proses penyusunan rencana pengelolaan sampah yang lebih baik.Metode: Penelitian ini menganalisis data tonase sampah bulanan yang masuk ke TPST Bantargebang yang diperoleh dari website Jakarta Open Data. Data dianalisis dengan menggunakan statistika deskriptif dan inferensia dengan menggunakan metode Triple Exponential Smoothing (TES) dan Autoregressive Fractionally Integrated Moving Average (ARFIMA).Hasil: Peramalan dengan metode terbaik menunjukkan bahwa tonase sampah yang masuk ke TPST Batargebang diprediksi akan semakin tinggi setiap tahunnya terutama pada bulan Desember dan Januari. Tonase sampah pada bulan Desember tahun 2026 diprediksi mencapai 293.317,5 ton, jauh meningkat dari hasil prediksi pada bulan Desember tahun 2021 yang hanya mencapai 254.113,3 ton. Simpulan: Hasil peramalan tonase sampah pada penelitian ini dapat menjadi salah satu acuan dalam upaya penanganan sampah di DKJ. Pemerintah DKJ bersama seluruh komponen masyarakat perlu bekerjasama dalam mengantisipasi lonjakan sampah tersebut dengan melakukan berbagai upaya yang dapat menekan laju peningkatan tonase sampah di Jakarta dan sekitarnya. Pemerintah DKJ direkomendasikan untuk memperbaiki sistem pengelolaan sampah, baik di tingkat masyarakat maupun di TPST Batargebang dengan mengeluarkan regulasi/aturan pengelolaan sampah yang lebih efektif, menambah anggaran pengelolaan sampah dan melakukan sosialisasi serta pembinaan terutama bagi masyarakat yang tinggal di wilayah padat penduduk. ABSTRACT Forecasting Waste Tonnage at TPST Bantargebang as an Initial Effort to Handle Waste Problems in Special Region of JakartaBackground: One of the environmental problems arising from the increasing population accompanied by changes in lifestyle in the Special Region of Jakarta (DKJ) is increasingly complex waste management with quantities reaching 7,000 tons per day. This study aims to forecast the tonnage of waste that may be generated in the future as one of the initial efforts in helping the process of preparing a better waste management plan .Method: This study analyzes monthly waste tonnage data entering TPST Bantargebang obtained from the Jakarta Open Data website. The data was analyzed using descriptive and inferential statistics using the Triple Exponential Smoothing (TES) and Autoregressive Fractionally Integrated Moving Average (ARFIMA) methods..Result: Forecasting with the best method shows that the tonnage of waste entering TPST Batargebang is predicted to be higher every year, especially in December and January. The waste tonnage in December 2026 is predicted to reach 293,317.5 tons, a far increase from the prediction results in December 2021 which only reached 254,113.3 tons. Conclusion: The results of forecasting the tonnage of waste in this study can be one of the references in waste management efforts in DKJ. The DKJ government together with all components of society need to work together in anticipating the surge in waste by making various efforts that can reduce the rate of increase in waste tonnage in Jakarta and its surroundings. The DKJ government is recommended to improve the waste management system, both at the community level and at TPST Batargebang by issuing more effective waste management regulations, increasing the waste management budget and conducting socialization and guidance, especially for people living in densely populated areas. ABSTRACT Forecasting Waste Tonnage at TPST Bantargebang as an Initial Effort to Handle Waste Problems in Special Region of JakartaBackground: One of the environmental problems arising from the increasing population accompanied by changes in lifestyle in the Special Region of Jakarta (DKJ) is increasingly complex waste management with quantities reaching 6,500 to 7,000 tons per day. This study aims to forecast the tonnage of waste that may be generated in the future as one of the initial efforts in helping the process of preparing a better waste management plan .Method: This study analyzes monthly waste tonnage data entering TPST Bantargebang obtained from the Jakarta Open Data website. The data was analyzed using descriptive and inferential statistics using the Triple Exponential Smoothing (TES) and Autoregressive Fractionally Integrated Moving Average (ARFIMA) methods..Result: Forecasting with the best method shows that the tonnage of waste entering TPST Batargebang is predicted to be higher every year, especially in December and January. The waste tonnage in December 2026 is predicted to reach 293,317.5 tons, a far increase from the prediction results in the same month for 2021 which only reached 254,113.3 tons. Conclusion: The results of forecasting the tonnage of waste entering the TPST Batargebang in this study can be one of the references in waste management efforts in DKJ. The DKJ government together with all components of society need to work together in anticipating the surge in waste by making various efforts that can reduce the rate of increase in waste tonnage in Jakarta and its surroundings. The DKJ government is recommended to improve the waste management system, both at the community level and at TPST Batargebang by issuing more effective waste management regulations, increasing the waste management budget and conducting socialization and guidance, especially for people living in densely populated areas.
PERAMALAN NILAI TUKAR RUPIAH TERHADAP DOLLAR AMERIKA DENGAN MENGGUNAKAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) Ardesfira, Gelbi; Zedha, Hazulil Fitriah; Fazana, Iin; Rahmadhiyanti, Julia; Rahima, Siti; Anwar, Samsul
Jambura Journal of Probability and Statistics Vol 3, No 2 (2022): Jambura Journal Of Probability and Statistics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jjps.v3i2.15469

Abstract

The Rupiah exchange rate was immensely influential in maintaining the stability of the country's economy.  The weakening of the rupiah exchange rate would have an impact on the national economy. Therefore, a forecast was needed to determine the exchange rate of the Rupiah in the future, especially against the US Dollar (USD). This study aimed to predict the rupiah exchange rate against the USD in 2022 and 2023. The data employed were the rupiah exchange rate data against the USD from January 2001 to December 2021. The forecasting method utilized in this study was the Autoregressive Integrated Moving Average (ARIMA) method. The most suitable ARIMA model in forecasting the Rupiah exchange rate against USD was ARIMA (3,1,1).  Forecasting results showed the Rupiah exchange rate weakened more significantly in 2022 and 2023, reaching IDR 14,484.5 and IDR 14,704.7 per USD, respectively, with the highest forecast limit reaching IDR 16,691.6 at the end of 2022 and IDR 17,781.8 at the end of 2023. The government needed preparing special policies in an effort to maintain the stability of the rupiah exchange rate in the future.