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Multi-Objective Portfolio Optimization Using Hybrid Ant Colony Optimization and Compromise Programming Rahmalia, Dinita; Husenti, Nadya
Jurnal Teknik Industri Vol. 25 No. 2 (2024): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol25.No2.131-144

Abstract

The increasing complexity of stock trading requires effective portfolio management to optimize returns while minimizing risks. Portfolio selection is critical in determining the most suitable combination of stocks, aiming to maximize expected returns and minimize risk within a given investment limit. This study constructs a mathematical model for portfolio optimization using six different stocks, incorporating constraints such as expected return, risk, and available investment. Given the multi-objective nature of the problem, a hybrid approach is proposed, combining Compromise Programming (CP), Nadir Compromise Programming (NCP), and Ant Colony Optimization (ACO) to address both minimization and maximization objectives. The ACO algorithm is applied to minimize deviation variables, which serve as the fitness function in the optimization process. The results demonstrate the effectiveness of the hybrid method in selecting portfolios that achieve minimal deviation, providing an optimal balance between risk and return. This research offers valuable insights for investors by illustrating the trade-offs between risk and reward in stock selection, contributing to more informed decision-making in portfolio management.
Peningkatan Pemahaman Siswa SMK Terhadap Implementasi Teori Peluang Pada Teorema Bayes Untuk Komputasi Cerdas Husenti, Nadya; Rosyid, Harunur; Listari, Lailatul Makhfudah; Rifki, Achmad
Suluh Abdi Vol 6, No 1 (2024): SULUH ABDI
Publisher : Universitas Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32502/sa.v6i1.8388

Abstract

Muatan pembelajaran jenjang SMK terutama pada mata pelajaran matematika, salah satu materi yang diajarkan yaitu materi peluang bersyarat yang peserta didikbelajar mengarah ke teorema Bayes yang biasanya digunakan untuk memprediksi atau membuat sistem pakar. Pengenalan mengenai teorema Bayes dalam komputasi cerdas perlu dilakukan untuk memperkenalkan implementasi teorema Bayes dalam komputasi cerdas di dunia nyata. Adapun sasaran dari kegiatan PKM ini adalah peserta didik jurusan RPL kelas XI dan XII di SMK YPI Darussalam 1 Cerme sebanyak 39 peserta didik. Metode yang digunakan dalam kegiatan PKM ini adalah sosialisasi tentang pentingnya ilmu matematika terutama algoritma metode Bayes serta dilengkapi dengan pelatihan mengenai penggunaan metode Bayes dalam ilmu komputer. Berdasarkan hasil post test menunjukkan bahwa peserta didik memahami berbagai macam implementasi dari teorema Bayes dalam kehidupan sehari-hari dimana sebanyak 84,6% peserta didik menjawab pertanyaan tersebut dengan benar. Namun peserta didik belum memahami manfaat dari penggunaan teorema Bayes terlihat dari hasil post tes sebanyak 74,4% peserta didik menjawab dengan salah satu pertanyaan tersebut.
Analisis Kesalahan Matematis Mahasiswa Teknik Informatika pada Materi Turunan Husenti, Nadya
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 1 (2024): Februari 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i1.7453

Abstract

Abstrak Kalkulus adalah salah satu mata kuliah wajib pada program studi Teknik Informatika serta merupakan mata kuliah prasyarat untuk menempuh mata kuliah di semester berikutnya. Namun mahasiswa masih mengalami kesulitan dalam memahami materi kalkulus turunan walaupun materi ini pernah mereka pelajari sebelumnya. Tujuan dari penelitian ini adalah untuk mengidentifikasi jenis-jenis kesalahan yang dilakukan oleh mahasiswa pada mata kuliah kalkulus khususnya materi turunan. Penelitian deskriptif kualitatif dilakukan kepada 26 subjek penelitian dengan teknik purposive sampling dan wawancara kepada 6 mahasiswa. Setelah 3 soal uraian diberikan kepada mahasiswa kemudian dilakukan pengolahan data dan analisis jenis kesalahan. Hasil penelitian menunjukkan bahwa kesalahan konsep merupakan kesalahan terbanyak dari ketiga soal yaitu sebesar 76,92% pada soal pertama, sebesar 65,38% pada soal kedua, dan soal ketiga sebesar 61,54%. Kesalahan ini terjadi karena mahasiswa tidak menghafal berbagai rumus turunan serta kurangnya kesadaran untuk lebih sering mengerjakan latihan soal untuk mengasah kemampuan penyelesaian soal. Selain itu juga dikarenakan kemampuan awal mahasiswa rendah serta minat dalam mempelajari kalkulus juga masih kurang. Kata kunci: Analisis Kesalahan, mahasiswa Informatika, materi turunanAbstract Calculus is one of the mandatory courses in the Informatics Engineering program and serves as a prerequisite for subsequent semester courses. However, students still encounter difficulties in understanding the derivative calculus material despite having previously studied it. The aim of this research is to identify the types of errors made by students in calculus courses, particularly in derivative calculus material. A qualitative descriptive study was conducted with 26 research subjects using purposive sampling technique, supplemented by interviews with 6 students. After presenting 3 essay questions to the students, data processing and analysis of error types were performed. The research findings indicate that conceptual errors are the most prevalent, constituting 76.92% for the first question, 65.38% for the second question, and 61.54% for the third question. These errors occur because students fail to memorize various derivative formulas and lack awareness of the necessity for more frequent problem-solving practice to sharpen their skills. Additionally, low initial student abilities and insufficient interest in learning calculus also contribute to these errors.Keywords:error analysis, informatics student, differensial
Klasifikasi Penyakit Demam Tifoid Menggunakan Algoritme K-Nearest Neighbor Hanifah, Hidayatul Nur; Bhakti, Henny Dwi; Husenti, Nadya
INTRO : Journal Informatika dan Teknik Elektro Vol 3 No 2 (2024): INTRO : Jurnal Informatika dan Teknik Elektro Edisi Desember 2024
Publisher : Fakultas Teknik dan Informatika Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/intro.v3i2.2258

Abstract

Typhoid fever is an infectious disease caused by Salmonella typhi bacteria. Transmission of typhoid fever can occur through fecal and oral consumption of contaminated food and beverages, irregular eating patterns and lack of cleanliness in food processing sites . Symptoms in patients are analyzed by a doctor with an examination to get a diagnosis. Diagnosis of typhoid fever in patients in order to be handled quickly one of the actions that can be done by developing a system of symptoms of typhoid fever. The system was formed with a classification model from data mining techniques to diagnose typhoid fever in patients. Classification process in solving the problem of diagnosis of patients with symptoms of typhoid fever using the K-Nearest Neighbor (KNN) method. Based on the implementation and testing of the system with K-Nearest Neighbor algorithm to obtain conclusions in the analysis of each patient's symptoms in the test with the system, can provide results of diagnosis of typhoid fever in patients based on testing with training data. Analysis of the highest accuracy of K-Nearest Neighbor algorithm evaluation of 20 testing data and 10 training data contained in K=9 at 75%, recall at 66.67%, and precission 75%.