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All Journal Journal of Multidisciplinary Applied Natural Science MATHunesa: Jurnal Ilmiah Matematika Journal of Economics Research and Policy Studies Indonesian Journal of Applied Mathematics
Febrianti, Werry
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Environmental Science Immunology & microbiology Materials Science & Nanotechnology Mathematics Physics

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Analisis keterkaitan jumlah hasil panen padi terhadap PDRB Provinsi Lampung menggunakan analisis input-output Febrianti, Werry; Triana, Shakila Syafa
Journal of Economics Research and Policy Studies Vol. 4 No. 3 (2024): Journal of Economics Research and Policy Studies
Publisher : Nur Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53088/jerps.v4i3.1304

Abstract

The agricultural sector has an essential economic position, especially in developing countries. In Indonesia, rice is one of the primary commodities that meets food needs and increases regional income. Economic growth is influenced by interactions between economic sectors, including the agricultural industry. The input-output analysis method is used to assess the relationship between sectors and the impact of changes in the farming sector on the economy as a whole. This research explores the influence of rice harvest on Gross Regional Domestic Product (GRDP) through an input-output analysis approach. The research results indicate that increasing rice yields affects the agricultural sector's input-output value and final demand, impacting the GRDP of Lampung Province.
Optimasi Portofolio Berdasarkan Model Mean-Variance dengan menggunakan Lagrange Multiplier pada saham IDX30 Abdallah, Muhammad Naif; Febrianti, Werry; Mardianto, Lutfi
Indonesian Journal of Applied Mathematics Vol. 4 No. 2 (2024): Indonesian Journal of Applied Mathematics Vol. 4 No. 2 October Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/indojam.v4i2.1983

Abstract

This study aims to optimize the portofolio of stocks included in the IDX30 index using the Mean-Variance model developed by Markowitz. The Lagrange Multiplier method is used in this study to determine the optimal fund allocation by minimizing risk and optimizing expected return. The data used is the daily closing price of stocks from 15 companies listed in the IDX30 index over the last five years (2019-2024). The results show that the Mean-Variance and Lagrange Multiplier methods are effective in identifying the optimal portofolio that can minimize investment risk while maximizing returns
Optimization of Star Pomfret Feed Production as a Linear Programming Problem Using a Hybrid Wolfe-Differential Evolution Algorithm Febrianti, Werry; Putra, Gusrian; Syari, Chalida; Abdallah, M Naif
Journal of Multidisciplinary Applied Natural Science Vol. 5 No. 2 (2025): Journal of Multidisciplinary Applied Natural Science
Publisher : Pandawa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47352/jmans.2774-3047.255

Abstract

Star pomfret (Trachinotus blochii) is one of the most sought-after types of marine fish in Indonesia. The production of feed for star pomfret fish is an important factor because it is related to their survival and ability to grow well.  Therefore, formulating the feed formulation for star pomfret (Trachinotus blochii) is very important to minimize feed production costs and ensure the nutritional adequacy of the fish. Therefore, we change the feed for star pomfret fish as a linear programming (LP) problem and solve it using the Hybrid Differential Evolution-Wolfe Algorithm (HWDEA).  HWDEA combines the Wolfe method, which efficiently transforms constraints into a system of linear equations, with the use of the Differential Evolution Algorithm (DEA) to find a global optimization solution, which is a solution that is not trapped in a local minimum.  We improve accuracy and efficiency by using HWDEA to find the optimal solution for this fish feed production. Our HWDEA can also overcome the limitations of traditional methods such as the simplex algorithm.  Thus, we can show that HWDEA successfully reduced feed production costs from 12,353 IDR to 9,035 IDR per kg while maintaining nutritional balance.  We can conclude that the HWDEA method successfully adapted to price fluctuations and raw material availability, allowing it to produce an optimal raw material composition in feed production.  Therefore, HWDEA can be used as an efficient tool to provide significant cost savings for supporting sustainable and profitable fish farming.
PENERAPAN SOLUSI PERSAMAAN DIFERENSIAL PARSIAL BLACK SCHOLES UNTUK MENGHITUNG HARGA PREMI ASURANSI PERTANIAN BERDASARKAN INDEKS CURAH HUJAN DI KABUPATEN LAMPUNG SELATAN Fauzi, Ahmad; Febrianti, Werry
MATHunesa: Jurnal Ilmiah Matematika Vol. 13 No. 2 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Asuransi pertanian indeks curah hujan menjadi solusi alternatif dalam rangka perlindungan terhadap sektor pertanian dari risiko gagal panen akibat kondisi cuaca buruk. Penelitian ini bertujuan untuk menghitung dan menganalisis besarnya premi asuransi pertanian berbasis indeks curah hujan dengan menggunakan solusi persamaan diferensial parsial Black-Scholes. Penentuan indeks curah hujan dilakukan melalui analisis Pearson Correlation, dan diperoleh bahwa curah hujan bulan Januari memiliki nilai korelasi negatif kuat terhadap hasil produksi pertanian yaitu sebesar -0,846. Uji normalitas dilakukan terhadap data indeks curah hujan menggunakan metode Shapiro-Wilk menunjukkan bahwa data berdistribusi normal. Perhitungan premi asuransi dengan persamaan diferensial parsial Black-Scholes digunakan variabel-variabel yaitu nilai pertanggungan sebesar Rp 8.000.000, rata-rata indeks curah hujan ) sebesar 312,64 mm, threshold curah hujan kritis sebesar 193.125 mm, suku bunga bebas risiko sebesar 0,05 pertahun, waktu masa panen 0,5 tahun, dan volatilitas data sebesar 0,298. Hasil perhitungan menunjukkan nilai = 2,303, dengan distribusi kumulatif normal = 0,011, sehingga premi asuransi yang diperoleh adalah sebesar Rp 83.080.
OPTIMISASI PORTOFOLIO UNTUK GREEN ECONOMY MENGGUNAKAN METODE SHARPE RATIO, TREYNOR RATIO, DAN JENSEN ALPHA Febrianti, Werry; Yaqin, Ainol
MATHunesa: Jurnal Ilmiah Matematika Vol. 13 No. 3 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathunesa.v13n3.p314-320

Abstract

Investment strategies based on Environmental, Social, and Governance (ESG) principles are gaining popularity as a response to global sustainability challenges. This study evaluates the performance of an ESG-based stock portfolio derived from the IDX ESG Leaders index, representing a green investment strategy in the Indonesian market. Five constituent stocks—BBCA, UNVR, TLKM, SMGR, and DSNG—were selected based on ESG risk ratings and market capitalization. Using daily return data from January 2021 to April 2025, the portfolio performance was assessed through Sharpe Ratio, Treynor Ratio, and Jensen Alpha. The results show that BBCA demonstrated the highest risk-adjusted efficiency with a Sharpe Ratio of 0.00445, while DSNG showed the strongest performance relative to market expectations with a positive Jensen Alpha of 0.000003. TLKM recorded the highest Treynor Ratio at 0.00057. These findings suggest that ESG-oriented stock selection, when combined with rigorous risk-return analysis, can support the development of competitive and sustainable portfolios. This study highlights the financial viability of green investing and its potential contribution to sustainable capital markets.
Optimalisasi Portofolio Saham Berbasis Green Economy: Analisis Sharpe Ratio, Treynor Ratio, Jensen’s Alpha, dan Korelasi ESG Score Febrianti, Werry; Yaqin, Ainol
Indonesian Journal of Applied Mathematics Vol. 5 No. 2 (2025): Indonesian Journal of Applied Mathematics Vol. 5 No. 2 October Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/indojam.v5i2.2437

Abstract

Investments that incorporate Environmental, Social, and Governance (ESG) principles are increasingly recognized as a strategic approach to support the transition toward a green economy. This study aims to optimize a stock portfolio composed of constituents from the IDX ESG Leaders index by employing three performance evaluation indicators: Sharpe Ratio, Treynor Ratio, and Jensen’s Alpha. Five stocks—ADRO, INKP, EXCL, BFIN, and KLBF—were selected based on strong ESG scores, large market capitalizations, and consistent inclusion in the ESG index for the past two consecutive years. The data used consist of daily closing prices from January 2021 to April 2025, with the BI 7-Day Reverse Repo Rate serving as a proxy for the risk-free rate. The results indicate that certain ESG-based portfolios can deliver competitive risk-return performance, with ADRO and KLBF exhibiting superior Sharpe Ratios and positive Jensen’s Alpha values compared to the other stocks. These findings reinforce the role of ESG in constructing investment portfolios that are not only financially viable but also aligned with long-term sustainability goals.
Co-Authors Abdallah, M Naif Abdallah, Muhammad Naif Ainol Yaqin, Ainol Chalida Syari Fauzi Ahmad Muda Mardianto, Lutfi Putra, Gusrian Triana, Shakila Syafa