Rescollacomm (E-Journals)
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Bankruptcy Risk Analysis in Manufacturing Companies in Indonesia using the Conan & Holder Model, J-UK Model, and Taffler Model
Get PDFThis study aims to analyze the bankruptcy risk of manufacturing companies in Indonesia using three different bankruptcy prediction models: the Conan & Holder Model, the J-UK Model, and the Taffler Model. To predict the bankruptcy risk with each model, historical financial data from several manufacturing companies listed with the Financial Services Authority (OJK) is used. This research concludes that the combination of these three models provides valuable insights in efforts to enhance the resilience and stability of the manufacturing sector in Indonesia by offering a more comprehensive approach to identifying and managing bankruptcy risks in manufacturing companies. This research is expected to contribute to the development of more effective risk management strategies for the manufacturing industry in Indonesia
Implementation of the Gated Recurrent Unit (GRU) Model for Bank Mandiri Stock Price Prediction
Get PDFStock price prediction is a crucial aspect in the financial world, especially in making investment decisions. This study aims to analyze the performance of the Gated Recurrent Unit (GRU) model in predicting Bank Mandiri (BMRI.JK) stock prices using historical data for five years. Stock data was collected from Yahoo Finance and normalized using Min-Max Scaling to improve model stability. Furthermore, the windowing technique was applied to form a dataset that fits the architecture of the time series forecasting-based model. The developed GRU model consists of two GRU layers with 128 neuron units, two dropout layers to prevent overfitting, and one output layer with one neuron to predict stock prices. Model evaluation was carried out using the Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and R-squared (R² Score) metrics. The experimental results show that the GRU model is able to produce predictions with a high level of accuracy, indicated by the R² Score value of 0.9636, which indicates that the model can explain 96.36% of stock price variability based on historical data
Implementation of Simulated Annealing Algorithm for Portfolio Optimization in Jakarta Islamic Index (JII) Stocks with Mean-VaR
Get PDFOne of the challenges for investors in the investment world is to manage the stock portfolio optimally. The main objective of portfolio optimization is to obtain maximum profit with a controlled level of risk. This study aims to find a portfolio combination that provides the best return with a more controllable risk than the conventional method, using Simulated Annealing. This research method applies the Mean-Value at Risk (Mean-VaR) approach in measuring portfolio performance and uses the application of the Simulated Annealing algorithm as an optimization method to determine the optimal investment weight on stocks in the Jakarta Islamic Index (JII), so as to obtain a portfolio with the best performance compared to a simple weighting strategy. The data used in this study is the daily closing price of stocks listed in the JII during the period January 3, 2022 - January 2, 2024. Based on the results and discussion, there are 7 stocks included in the formation of the optimal portfolio of JII index stocks, namely ADRO, ICBP, INKP, ITMG, MIKA, TPIA, and UNTR. The weight allocation of each stock generated by the Simulated Annealing method for the period is for ADRO shares 7,4177%; ICBP 1,7817%; INKP 7,3369%; ITMG 15,0006%; MIKA 2,5894%; TPIA 63,5506%; and UNTR 2,323%. The optimal portfolio of the Mean-VaR model with the Simulated Annealing method is generated when the risk tolerance is 0 (τ=0), with a return or return of 0,001923 and a VaR risk level of 0,029788. This approach is expected to be an alternative for investors in determining investment strategies based on Islamic stocks in Indonesia
Optimization Model in Transportation Based on Linear Programming
Get PDFThis study discusses the development of optimization models in transportation costs and routes and resource distribution based on Linear programming using various methods. This study aims to improve logistics efficiency, maximize the utilization of transportation equipment, infrastructure, operations management, and minimize transportation costs. The methods used include data collection, data processing, and the application of mathematical models to determine the optimal route with iteration methods such as the Simplex Method or Simplex Algorithm (SIMPLEKS), Modified Distribution Method (MODI), Vogel\u27s Approximation Method (VAM), North-West Corner Method, Least Cost Method, and Initial Cost Minimum Method (ICMM). This study successfully shows that this method is able to reduce the cost of reducing carbon emissions, significantly reduce shipping costs and increase the efficiency of goods distribution that can be applied to complex distribution systems, support efficiency, and sustainability of transportation management. Using Linear programming and transportation methods to reduce SME costs and produce more efficient costs and fast solutions. In general,optimizationThis supports economic development, efficiency and sustainability of transportation management
The Impact of Salary Increase Projection Assumptions on the Difference in Pension Liability Value between the Projected Unit Credit and Traditional Unit Credit Methods
Get PDFThe calculation of pension liabilities in defined benefit plans is highly influenced by the actuarial method and economic assumptions applied, particularly salary growth projections. This study aims to analyze the impact of salary increase assumptions on pension liabilities using two commonly adopted actuarial methods: Projected Unit Credit (PUC) and Traditional Unit Credit (TUC). Simulations were conducted using dummy data across three salary groups with varying annual salary growth assumptions, allowing for a comparative analysis of the resulting liabilities from both methods. The results show that PUC consistently produces significantly higher pension liabilities than TUC, with the difference increasing as the assumed salary growth rate rises. This demonstrates the higher sensitivity of the PUC method to future salary projections, which may lead to a more realistic but financially heavier burden on the company. This study offers valuable insights for decision makers in selecting appropriate actuarial methods for pension liability valuation based on their financial strategies and risk tolerance
Cryptographic Security for Double Encryption on Images Using AES and IDEA Algorithms
Get PDFDi era digital, keamanan citra rekam medis elektronik telah menjadi perhatian utama karena tingginya risiko kebocoran informasi sensitif. Studi ini menyelidiki dan mengembangkan implementasi enkripsi ganda pada data citra medis dengan menggabungkan Advanced Encryption Standard (AES) dan International Data Encryption Algorithm (IDEA) untuk meningkatkan keamanan citra, khususnya untuk citra rekam medis elektronik yang rentan terhadap pelanggaran informasi. AES digunakan karena efisiensinya dalam mengenkripsi data berukuran besar, sementara IDEA menawarkan struktur kunci yang kompleks yang memberikan perlindungan yang lebih kuat terhadap akses yang tidak sah. Kumpulan data citra Magnetic Resonance Imaging (MRI) yang diperoleh dari platform publik Kaggle digunakan sebagai objek uji untuk proses enkripsi dan dekripsi. Evaluasi dilakukan dengan menggunakan dua pendekatan utama: uji efek avalanche untuk mengukur sensitivitas perubahan input terhadap output ciphertext, dan uji waktu pemrosesan untuk menilai efisiensi kinerja enkripsi dan dekripsi. Hasilnya menunjukkan nilai rata-rata efek avalanche mencapai 49,97%, sangat mendekati nilai ideal 50%, menunjukkan tingkat difusi data yang tinggi dan kekuatan kriptografi yang kuat. Sementara itu, pengujian waktu enkripsi pada lima berkas citra menunjukkan bahwa rata-rata waktu yang dibutuhkan untuk melakukan enkripsi ganda menggunakan AES dan IDEA adalah 52,06 detik, dengan rentang waktu antara 42,0 detik hingga 63,5 detik, tergantung pada ukuran dan kompleksitas citra. Oleh karena itu, kombinasi AES dan IDEA terbukti meningkatkan kekuatan kriptografi tanpa mengurangi efisiensi operasional secara signifikan. Pendekatan enkripsi ganda ini dinilai layak dan efektif untuk diimplementasikan dalam sistem informasi kesehatan, terutama untuk menjaga kerahasiaan, integritas, dan keaslian citra rekam medis elektronik.
Kata kunci: Enkripsi ganda, AES, IDEA, efek longsor, keamanan citra medis, efisiensi waktu pemrosesa
Implementation of Dynamic Programming Algorithm on The Integer Knapsack Problem (0/1) (Case Study: J&T Cargo Agent Purwokerto)
Get PDFThe pu IDR ose of this research is to solve the 0/1 integer knapsack problem, which is a problem of selecting items from a number of available items where each item has different weights and profits. The delivery of items at J&T Cargo Purwokerto is one of many item selection problems. The delivery of items at J&T Cargo Purwokerto is carried out progressively with higher profit values first, due to the delivery capacity being able to accommodate only 700 kg. In order for J&T Cargo Purwokerto to obtain maximum profit, item selection for delivery must be carried out first. The item selection at J&T Cargo Purwokerto can be solved using the 0/1 integer knapsack problem method with a forward recursive dynamic programming algorithm with the help of Matlab R2021A software. The results of the research indicate that on July 1, 2025, a maximum profit of IDR 3,038,850 was achieved with a weight of 700 kg. On 2nd July 2025, a maximum profit of IDR 4,884,985 was achieved with a weight of 700 kg. On 3rd July 2025, a maximum profit of IDR 7,732,155 was achieved with a weight of 699 kg
Design of A Decision Support System for Students\u27 Extracurricular Choices using the TOPSIS Method at SMKN 1 Bukit Sundi
Get PDFEducation not only emphasizes academic excellence but also requires the development of students\u27 character, talents, and soft skills. Extracurricular activities play a crucial role in providing students with opportunities to explore their potential beyond the classroom. However, students often encounter difficulties in selecting the most suitable extracurricular activity, which may result in low motivation and reduced participation. To address this issue, a web-based Decision Support System (DSS) was developed using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The system considers multiple criteria, namely interest, talent, academic achievement, parental support, physical condition, and equipment cost, to generate objective recommendations. The research was conducted at SMKN 1 Bukit Sundi with seven extracurricular alternatives, including Futsal, Volleyball, Pramuka, Paskibra, Marching Band, OSIS, PMR, and Randai. The system was implemented using PHP and MySQL, providing an automated process of normalization, weighting, calculation of ideal solutions, and ranking. Results showed that Futsal achieved the highest preference value (0.755846), followed by Volleyball and Pramuka, while Randai ranked lowest with a value of 0.223794. These findings indicate that student preferences are strongly aligned with sports and leadership activities, while traditional art forms are less favoured. The system proved to be consistent with manual calculations and successfully enhanced transparency, efficiency, and accessibility in extracurricular selection. Compared to alternative methods such as SAW, TOPSIS offered greater flexibility by accommodating both benefit and cost attributes simultaneously. This study contributes practically by providing a tool that supports schools and students in decision-making, and academically by extending the application of TOPSIS in vocational education
Application of Fish Waste Processing for Sustainable Livestock Feed Production A Community Engagement Study in Garut Regency
Get PDFThis community engagement study aimed to develop an application for processing fish waste into animal feed based in an incubator system in Garut Regency. The program was conducted from May to November 2023 with the primary objective of transferring technology in waste processing and animal feed production to partner groups. Methods included socialization, technical and non-technical training, and direct mentoring in animal feed pellet production. Results showed a significant improvement in the knowledge and skills of the groups in producing fish waste pellets, reducing feed production costs, and enhancing the sustainability of local livestock businesses. Challenges encountered included initial production limitations and consumer trust in new products. With in-depth scientific approaches and sustained support, the program successfully created positive impacts on the environment and community economic welfare
Conflict As A Trigger For The Development Of Self-Actualization In The Character Bambang In The Novel Sendiri By Tere Liye: A Humanistic Psychoanalytic Study
Get PDFThis study aims to analyze conflict as a trigger for the development of self-actualization in Bambang\u27s character in the novel Sendiri by Tere Liye using Abraham Maslow\u27s humanistic theory which states that human needs are stratified. The research was conducted with qualitative descriptive method through data analysis that connects Maslow\u27s five needs: physiological, security, love and existence, appreciation, and self-actualization. The results showed that Bambang\u27s character successfully developed the fulfillment of basic needs through conflicts that occurred in the plot and achieved self-actualization in Maslow\u27s hierarchy of needs