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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Desimal: Jurnal Matematika BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Saintek Lahan Kering EKOLOGIA : Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup BERNAS: Jurnal Pengabdian Kepada Masyarakat Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Jurnal PkM Setiadharma Jurnal Karya Abdi Masyarakat Pelita: Jurnal Pengabdian kepada Masyarakat International Journal of Applied Mathematics, Sciences, and Technology for National Defense Journal of Mathematics, Computation and Statistics (JMATHCOS) Jurnal Jendela Matematika J-KOMA : Jurnal Ilmu Komputer dan Aplikasi Jurnal Pengabdian Masyarakat Inovatif Jurnal Pengabdian Masyarakat Inovatif
Isti Kamila
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Training on Strategies to Pass CPNS Test for CPNS Applicants Through the Giat Belajar Abadi Platform Santoso, Eka Krisna; Azka, Muhammad; Kamila, Isti; Indrawan; Rauf, Nurul Maqfirah; Bahar, Nur Qadri
Jurnal Pengabdian Masyarakat Inovatif Vol. 2 No. 2 (2024): JPMI (Jurnal Pengabdian Masyarakat Inovatif)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Pakuan

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Abstract

The acceptance of Civil Servant Candidates (CPNS) is an opportunity highly anticipated by the community to build a career in the government sector. However, tight competition and complex selection stages are often the main challenges for applicants. Many applicants fail due to a lack of understanding of the selection process, ineffective learning strategies, and minimal information about the success criteria. The partner of this Community Service activity is Giat Belajar Abadi. Giat Belajar Abadi (GBA) is a lifelong learning platform designed to help people improve their skills and expand their knowledge. This platform offers a variety of classes and learning programs related to business, self-development, and more. However, Giat Belajar Abadi has not yet opened a class for training strategies to pass the Civil Servant Candidate (CPNS) test. Therefore, a community service program is needed for Giat Belajar Abadi partners by opening a training class on CPNS test strategies. This class will help CPNS applicants to be better prepared for the selection, both technically and mentally, increasing their chances of success. The purpose of this Community Service activity is to increase understanding of CPNS selection strategies through Giat Belajar Abadi partners. Therefore, the target audience of this activity is CPNS applicants. The outcome of this Community Service program is an increased understanding of CPNS selection strategies. Through this program, it is hoped that the success rate of participants in the CPNS selection will increase, while creating more competent human resources ready to contribute to the government sector. This program also has a long-term impact on improving the quality of CPNS applicants’ preparation in the future.
Uncovering the potential of mining stocks: Analysis of price prediction and fundamental performance using double exponential smoothing and discounted cash flow Kamila, Isti; Mushliha; Indrawan; Azka, Muhammad; Sembiring, Brema
Desimal: Jurnal Matematika Vol. 8 No. 3 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v8i3.202528611

Abstract

The purpose of this research was to forecast the stock prices of the mining sector using the Double Exponential Smoothing method and to determine the intrinsic value of stocks using the Discounted Cash Flow method as a recommendation for investment decisions in stocks. The data used was secondary data consisting of closing prices and financial reports from 2022 to 2024 for 10 mining stocks listed on the Main Board of the Energy sector on the IDX website. Based on the results of determining the intrinsic value of the stocks using the DCF method, seven mining stock issuers were categorized as undervalued, namely ABMM, BUMI, BYAN, DEWA, GEMS, HRUM, and INDY, while three other stock issuers were categorized as overvalued, namely ADRO, DSSA, and ITMG. Based on the forecasting results using the Double Exponential Smoothing method, from the seven issuers in the undervalued category, there were two issuers, BYAN and DEWA, that have the potential to experience a price increase. The results of the stock price forecasting evaluation using MAPE show that it was categorized as very accurate with a MAPE value range of 0.6% to 3.5%.
Pemodelan Pengaruh Nilai Tukar Rupiah Terhadap Dollar Dengan Indeks Harga Saham Gabungan Kompas 100 menggunakan metode Gauss Newton Triyanto, Muhammad; Andriyati, Ani; Kamila, Isti; Rohaeti, Embay
JURNAL JENDELA MATEMATIKA Vol. 2 No. 01 (2024): Jurnal Jendela Matematika: Edisi Januari 2024
Publisher : CV. Jendela Edukasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57008/jjm.v2i01.669

Abstract

Penelitian bertujuan untuk memodelkan hubungan antara nilai tukar Rupiah terhadap Dollar dengan Indeks harga saham kompas 100. Berdasarkan informasi penelitian terdahulu bahwa hubungan nilai tukar mata uang terhadap harga saham bersifat non linier. Pemodelan regresi non linier pada penelitian ini dilakukan dengan pendekatan numerik melalui algoritma Gauss Newton. Metode Gauss Newton merupakan metode sederhana yang sangat efisien yang digunakan untuk menyelesaikan masalah pendugaan kuadrat terkecil. Metode Gauss Newton digunakan untuk menduga parameter dengan meminimalkan jumlah nilai dari suatu fungsi, dimana dalam menyelesaikannya tidak memerlukan perhitungan atau estimasi dari turunan kedua fungsi f(x) karena secara numerik lebih efektif dengan proses langsung atau iteratif. Proses pendugaan dimulai dengan fungsi f=(x,β_0,β_1 )=β_0 (1-e^(-β_1 X)) dengan dugaan awal parameter β_0=0,1 dan  β_1=1 dan JKG awal sebesar 0,000250. Pembentukan nilai awal pada iterasi pertama diperoleh β_0,1=-2,16 dan β_1,1=25,16 dengan JKG  sebesar 268,173. Perhitungan diulang secara terus menerus sampai konvergen yaitu pada iterasi ketiga. Nilai pendugaan parameter pada iterasi ketiga yaitu  β_0,3=0,0066 dan  β_1,3=216,55 dengan nilai JKG terkecil yaitu 0,001769.
Co-Authors Amar Sumarsa Ananda Br Pelawi, Riva Andriyati, Ani Anggraeni, Fidela Ani Andriyati Azka, Muhammad Bahar, Nur Qadri Dwi Puji Ramadhani, Novira Eka Herlina Eka Herlina Embay Rohaeti Fatanah Zetafahrul, Philant Febriawan, Afif Fitria Virgantari Indrawan Mawar Desember, Natalie Maya Widyastiti Maya Widyastiti, Maya Mulyati , Mushliha Prilia Ditasari Ramadhany Rumengan, Novia Rauf, Nurul Maqfirah Revi Meliyani Santoso, Eka Krisna Sara, Siti Aisah Sembiring, Brema Taganap, Eduard Triyanto, Muhammad Virgantari, Fitria