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All Journal Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Jurnal PEKA (Pendidikan Matematika) Literasi: Jurnal Pengabdian Masyarakat dan Inovasi
Muhassanah, Nur’aini
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Education Mathematics Social Sciences Other

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WINTERS EXPONENTIAL SMOOTHING UNTUK PERAMALAN HARGA SAHAM PT ASTRA INTERNATIONAL TBK Sofiyati, Noor; Hayati, Afifah; Muhassanah, Nur’aini
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 15 No 2 (2023): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2023.15.2.8834

Abstract

ABSTRACT. Investing in the stock market is an option that investors are interested in. Investors generally invest because they want to gain profits which can be seen from the return or rate of return on shares. On the other hand, there is a risk of loss if investors make the wrong decision. Many investors only guess whether stock prices will rise or fall. Investors need accurate information, predictions and a sense of security in stock transactions. Investors need to know future developments in share prices by forecasting to anticipate large losses. Investors need a method to predict stock prices for the next period based on historical data on previous stock prices because changes in stock prices are uncertain. This research aims to predict the share price of PT. Astra International Tbk (ASII.JK) one year into the future using the Winters exponential smoothing method. The data used is the monthly average closing price of ASII Tbk shares from January 2018 to April 2023. Forecasting results show that ASII share prices will fluctuate in the next year. It can provide information on future stock movements for investors as a consideration for investing in these shares.Keywords: investment, return, exponential smoothing ABSTRAK. Investasi di pasar saham merupakan salah satu pilihan yang banyak diminati oleh para investor. Investor umumnya berinvestasi karena ingin memperoleh keuntungan yang dapat dilihat dari besarnya return atau tingkat pengembalian saham. Di sisi lain, terdapat risiko kerugian bila investor salah dalam mengambil keputusan. Banyak investor yang hanya menebak apakah harga saham akan naik atau turun. Para investor memerlukan keakuratan informasi, prediksi dan rasa aman dalam bertransaksi saham. Investor perlu mengetahui perkembangan harga saham di masa yang akan datang dengan peramalan untuk mengantisipasi kerugian yang besar. Investor memerlukan metode untuk memprediksi harga saham periode berikutnya berdasarkan data historis harga saham sebelumnya karena perubahan harga saham yang tidak pasti. Penelitian ini bertujuan untuk meramal harga saham PT. Astra International Tbk (ASII.JK) satu tahun ke depan dengan metode Winters exponential smoothing. Data yang digunakan yaitu data rata-rata bulanan harga penutupan saham ASII Tbk. dari Januari 2018 sampai April 2023. Hasil peramalan menunjukkan harga saham ASII satu tahun ke depan bergerak fluktuatif. Hal ini dapat memberi informasi pergerakan saham di masa mendatang bagi investor sebagai bahan pertimbangan untuk berinvestasi di saham tersebut.Kata Kunci: investasi, return, exponential smoothing
Pelatihan Penelitian Tindakan Kelas (PTK) untuk Pemberdayaan Guru di MTs Huffadh Al-Itqoniyyah Muhassanah, Nur’aini; Ainuranti, Asfi
Literasi Jurnal Pengabdian Masyarakat dan Inovasi Vol 3 No 1 (2023)
Publisher : Pengelola Jurnal Politeknik Negeri Ketapang Jl. Rangga Sentap, Dalong Sukaharja, Ketapang 78813. Telp. (0534) 3030686 Kalimantan Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/literasi.v3i1.1335

Abstract

The purpose of this training activity is to improve the ability of teachers to prepare Classroom Action Research (CAR) proposals. Classroom action research is thus one of the abilities that must be possessed by teachers to maintain the professionalism of their performance. The training participants were Mts and MA Huffadh Al-Itqoniyyah teachers, totaling 25 people divided into 5 groups. This training is scheduled in two activities. The first activity is the delivery of material related to the preparation of class action research proposals which is carried out offline once. While the second activity is assisting training participants in preparing class action research proposals which are carried out online through the WA Group, Zoom, and GMeet. The results of this activity are in the form of output proposals, where 60% of the training participants are able to complete the assignments or the output of the training is in the form of class action research proposals. Meanwhile, 40% of the participants could not complete the output due to limited time and busyness of the participants. Of the 3 PTK proposals that were the outputs of this activity, 2 proposals were assessed with good criteria and 1 proposal with very good criteria
Pentingnya Konsep Pembelajaran Daring dalam Meningkatkan Kompetensi Guru di Masa Pandemi Covid-19 Muhassanah, Nur’aini; Winarni, Ambar
Literasi Jurnal Pengabdian Masyarakat dan Inovasi Vol 2 No 1 (2022)
Publisher : Pengelola Jurnal Politeknik Negeri Ketapang Jl. Rangga Sentap, Dalong Sukaharja, Ketapang 78813. Telp. (0534) 3030686 Kalimantan Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/literasi.v2i1.1418

Abstract

The purpose of this Community Service activity is to increase teacher competence in online learning during the Covid-19 pandemic. Some of the difficulties experienced by teachers during online learning are related to learning media, preparation of lesson plans and assessments. This PKM activity is in a virtual form, namely a Webinar which is carried out through the Zoom Meeting media. Where this activity is in collaboration with KKKS Mustika Dwija Sarana Sumpiuh with 240 participants as teachers. The method used is Service Learning. The results of this activity are able to increase teacher competence in the online learning process related to three things, namely first, the use of online learning media other than WA Group such as Zoom/GMeet, Google Classroom, and Learning Videos; second, increasing teacher competence in preparing online learning lesson plans or blended learning, and third, increasing teacher competence in preparing online learning assessments
Analisis Pengaruh Angka Kelahiran Kasar Dan Angka Kematian Kasar Terhadap Laju Pertumbuhan Penduduk Di Kecamatan Karanganyar Hufron, Ali; Winarni, Ambar; Muhassanah, Nur’aini
Jurnal PEKA (Pendidikan Matematika) Vol. 9 No. 1 (2025): Jurnal PEKA (Pendidikan Matematika)
Publisher : Program Studi Pendidikan Matematika Universitas Muhammadiyah Sukabumi (UMMI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37150/j8235j23

Abstract

Tujuan dari penelitian ini adalah untuk mengetahui pengaruh angka kelahiran kasar dan angka kematian kasar terhadap laju pertumbuhan penduduk di Kecamatan Karanganyar beserta model persamaan regresinya. Jenis penelitian ini adalah penelitian kuantitatif yang mana data yang digunakan dalam penelitian ini adalah data sekunder yang diambil dari website badan pusat statistik Kabupaten Purbalingga dari tahun 2010 sampai 2023. Data yang diperoleh berupa data angka kelahiran kasar sebagai , angka kematian kasar sebagai , dan laju pertumbuhan penduduk sebagai Y. Dari data yang diperoleh kemudian dilakukan intepretasi menggunakan metode regresi linier berganda melalui SPSS. Kesimpulan dari empat uji asumsi klasik yaitu uji normalitas, uji multikolinieritas, uji heteroskedastisitas, dan uji autokorelasi adalah (1) data berdistribusi normal, tidak terjadi multikolinearitas, tidak terjadi gejala heteroskedastisitas, dan tidak terjadi autokorelasi. (2) dari hasil uji t diperoleh hasil angka kelahiran kasar tidak berpengaruh terhadap laju pertumbuhan penduduk, sedangkan angka kematian kasar berpengaruh terhadap laju pertumbuhan penduduk (3) dari hasil uji f dengan kesimpulan bahwa secara simultan angka kelahiran kasar dan angka kematian kasar berpengaruh terhadap laju pertumbuhan penduduk. (4) Diperoleh persamaan regresi linier bergandanya yaitu Ŷ=0.343+0.016+0.077
Co-Authors Afifah Hayati Ainuranti, Asfi Ambar Winarni Hufron, Ali Sofiyati, noor