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All Journal JISTech (Journal of Islamic Science and Technology) MES: Journal of Mathematics Education and Science
Hani Maulida Hasibuan
Universitas Islam Negeri Sumatera Utara
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Materials Science & Nanotechnology Mathematics Other

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OPTIMISASI KEUNTUNGAN PRODUKSI NUGGET BEKU MENGGUNAKAN PROGRAM LINIER Rina Filia Sari; Afnaria Afnaria; Syech Suhaimi; Hani Maulida Hasibuan
MES: Journal of Mathematics Education and Science Vol 10, No 2 (2025): Edisi April
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v10i2.11318

Abstract

This study aims to determine an optimal production strategy to maximize profit at “Umar Frozen Food” in Hasahatan Julu Village. The research focuses on two types of chicken nuggets: long and flat shapes, considering limited raw materials and production time. The research method applied is linear programming using the simplex method. Data were collected through observation, interviews, and documentation of the production process. The results indicate that the maximum daily profit of Rp10.640,00 is achieved by producing only 2.8 units of flat chicken nuggets and none of the long type. In conclusion, the simplex method effectively aids small businesses in making efficient production decisions and maximizing profit under resource constraints. 
Penerapan Principal Component Analysis dan Cluster Analysis untuk Segmentasi Kabupaten/Kota di Sumatera Utara Berdasarkan Indikator Pembangunan Manusia Elma Dwi Ariana Aprilia Zam; Hani Maulida Hasibuan; Aida Febriana Tanjung; Ahmad Syahrial Pohan; Rina Filia Sari
JISTech (Journal of Islamic Science and Technology) Vol 11, No 1 (2026)
Publisher : UIN Sumatera Utara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/jistech.v11i1.30953

Abstract

Penelitian ini bertujuan untuk mengelompokkan kabupaten/kota di Provinsi Sumatera Utara berdasarkan indikator pembangunan manusia menggunakan kombinasi metode Principal component analysis (PCA) dan K-means Clustering. Data yang digunakan merupakan data indikator pembangunan manusia pada 33 kabupaten/kota di Provinsi Sumatera Utara. Variabel yang digunakan adalah harapan lama sekolah , rata-rata lama sekolah , angka harapan hidup , tingkat pengangguran terbuka , jumlah penduduk miskin , dan Pengeluaran perkapita . Analisis diawali dengan reduksi dimensi menggunakan PCA untuk mengatasi korelasi antar variabel dan memperoleh faktor utama yang mewakili karakteristik data. Hasil pengujian menunjukkan bahwa satu komponen utama dengan nilai eigen sebesar 2.848 mampu menjelaskan 56.963% keragaman data. Faktor tersebut dibentuk oleh variabel harapan lama sekolah, rata-rata lama sekolah, angka harapan hidup, tingkat pengangguran terbuka, dan pengeluaran per kapita. Selanjutnya, skor faktor hasil PCA digunakan sebagai input pada metode K-means Clustering. Berdasarkan metode elbow, jumlah cluster optimal yang diperoleh adalah empat cluster. Hasil pengelompokan menunjukkan bahwa Cluster 1 termasuk kategori rendah dengan 4 kabupaten/kota, Cluster 3 kategori sedang dengan 15 kabupaten/kota, Cluster 2 kategori tinggi dengan 2 kabupaten/kota, dan Cluster 4 kategori sangat tinggi dengan 12 kabupaten/kota. Hasil penelitian menunjukkan adanya perbedaan karakteristik indikator pembangunan manusia antar kelompok kabupaten/kota di Provinsi Sumatera Utara sehingga dapat menjadi dasar dalam penyusunan kebijakan pembangunan yang lebih terarah.
Investment Risk Analysis of Gold, the Indonesia Composite Index (IHSG), and BBCA Stock in Indonesia using the Value At Risk (Var) Method With A Variance–Covariance Approach Aida Febriana Tanjung; Hani Maulida Hasibuan; Panca Taufik Kurahman; Fakhrur Rozi Nasution; Riri Syafitri Lubis
JISTech (Journal of Islamic Science and Technology) Vol 11, No 1 (2026)
Publisher : UIN Sumatera Utara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/jistech.v11i1.28790

Abstract

Investments in various financial instruments such as gold, the Indonesia Composite Index (IHSG), and individual stocks carry different levels of risk due to market price fluctuations. These differences require investors to understand potential risks in order to manage their portfolios optimally. Therefore, a quantitative risk measurement method is needed. Value at Risk (VaR) is a method used to estimate the maximum potential loss at a given confidence level and time horizon. This study aims to analyze and measure investment risk in gold, IHSG, and BBCA stock in Indonesia using the Value at Risk (VaR) method with a variance–covariance approach. The data consist of monthly closing prices from April 2024 to March 2025, implying a 1-month VaR horizon with confidence levels of 90%, 95%, and 99%. The results show that the VaR value at the 95% confidence level (1-month horizon) is (4,033.25) for gold, (8,064.47) for IHSG, and (7,931.17) for BBCA stock. At a higher confidence level of 99%, the VaR increases to (5,704.31) for gold, (11,405.74) for IHSG, and (11,217.20) for BBCA stock. These findings indicate that IHSG and BBCA stock have higher potential maximum losses compared to gold, consistent with their higher volatility levels. These results suggest that the variance–covariance VaR method provides measurable quantitative risk estimates across different confidence levels and time horizons, making it useful for investment decision-making and structured portfolio risk management.
Co-Authors Afnaria, Afnaria Ahmad Syahrial Pohan Aida Febriana Tanjung Aida Febriana Tanjung Elma Dwi Ariana Aprilia Zam Fakhrur Rozi Nasution Panca Taufik Kurahman Rina Filia Sari Riri Syafitri Lubis Syech Suhaimi