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All Journal Journal of the Indonesian Mathematical Society Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
Indana Lazulfa
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Computer Science & IT Mathematics

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A Firefly Algorithm for Portfolio Optimization Indana Lazulfa
Journal of the Indonesian Mathematical Society Volume 25 Number 3 (November 2019)
Publisher : IndoMS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22342/jims.25.3.821.282-291

Abstract

Portfolio optimization is the process of allocating capital among a universe of assets to achieve better risk – return trade-off. Portfolio optimization is a solution for investors to get the return as large as possible and make the risk as small as possible. Due to the dynamic nature of financial markets, the portfolio needs to be rebalanced to retain the desired risk-return characteristics. This study proposed multi objective portfolio optimization model with risk, return as the objective function. For multi objective portfolio optimization problems will be used mean-variance model as risk measures. All these portfolio optimization problems will be solved by Firefly Algorithm (FA).
RANCANG BANGUN APLIKASI PENILAIAN KINERJA GURU BERBASIS WEBSITE MENGGUNAKAN METODE GRAPHIC RATING SCALE (STUDI KASUS: MI AL-HIKMAH SIDOWAREK) Achwaludin Amir Hasyim; Hadi Sucipto; Indana Lazulfa; Muhammad Fatkhur Rizal
Inovate Vol 9 No 2 (2025): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i2.8882

Abstract

Teacher performance appraisal plays an important role in improving education standards and ensuring the efficiency of teaching and learning procedures.The research aims to design and develop a website-based teacher performance assessment application using the Graphic Rating Scale (GRS) method at MI Al-Hikmah Sidowarek. This method was chosen because of its effectiveness in providing an objective assessment of performance. The research is carried out with phases of needs analysis, system design based on UML, application implementation, and testing to ensure its functionality. The app developed provides a secure login system, teacher data management, setting evaluation criteria, as well as drawing up a printed evaluation report. Teacher performance evaluation results are evaluated using a scale that covers pedagogical, personal, social, and professional aspects. Using GRS, this application provides an in-depth understanding of each teacher's performance access, which was previously done manually or conventionally. Analysis of the evaluation results shows that the pedagogical and professional aspects often score higher than the personal and social aspects. Teachers who earn high scores can be recommended for career development and increased leadership responsibilities, while those who do not meet the standards can be given guidance for sustainable professional development. The application test results showed good performance and were well received by users, including administrators, evaluation teams, and the head of school. This application not only improves efficiency in assessing teacher performance, but also improves transparency and accuracy in the evaluation process. Keywords: Teacher Performance Assessment, Web-based Applications, Graphic Rating Scale, MI AlHikmah Sidowarek, Performance Management.
PERANCANGAN SISTEM PELAYANAN ANTRIAN PASIEN PADA PRAKTEK DOKTER UMUM MENGGUNAKAN METODE FIFO (FIRST IN, FIRST OUT) BERBASIS WEBSITE Claudia Afaf Azzahrah; Anita Andriani; Chamdan Mashuri; Indana Lazulfa
Inovate Vol 9 No 2 (2025): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i2.8883

Abstract

Along with the development of information technology, various aspects of life have undergone significant changes, including in the field of healthcare. Healthcare services are crucial in society, yet they face challenges in patient queue management. Long and disorganized queues can cause discomfort and dissatisfaction among patients, as well as disrupt the workflow of medical staff. At the general practice of Dr. Pudji Umbaran, M.Kp in Peterongan District, Jombang Regency, queue management often encounters issues due to a manual and inefficient registration system. This study aims to design and implement a patient queue system based on a website using the First In, First Out (FIFO) method to enhance time efficiency and service fairness. This method prioritizes patients based on their Arrival time, significantly reducing Waiting times and improving patient satisfaction. The research findings demonstrate that implementing the FIFO method effectively manages patient queues at the general practice, resulting in a significant decrease in waiting and processing times. This system offers an efficient solution to enhance service quality and operational efficiency in the doctor's practice. Keywords: Queue, FIFO, Practice, Service.
PENERAPAN ALGORITMA APRIORI UNTUK MENENTUKAN REKOMENDASI ANIME RATING TINGGI DENGAN JUMLAH PENONTON SEDIKIT (Studi Kasus: Situs MyAnimeList.net) Diah Puspita, Dwi Ratna Ayu; Mashuri, Chamdan; Ahmad Heru Mujianto; Indana Lazulfa
Inovate Vol 10 No 1 (2025): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v10i1.9386

Abstract

Abstract High-quality yet less popular anime recommendations are a need for users on MyAnimeList.net, a platform containing thousands of anime titles with varying ratings and viewership numbers. This study aims to apply the Apriori algorithm to determine anime recommendations with high ratings but low viewership, using data from MyAnimeList.net. In the growing anime industry, many high-quality anime titles receive little attention from viewers. Therefore, it is essential to develop a recommendation system that can help users discover anime they may have missed. The dataset used consists of rating and viewership data from MyAnimeList.net. Through filtering and analysis, the Apriori algorithm successfully identified relationships among anime titles that meet the criteria of high ratings and low viewership, resulting in more targeted recommendations. This research is expected to contribute to the development of data mining-based recommendation systems, especially for recommending content that is rarely viewed yet has high quality. The use of the Apriori algorithm in content recommendations also shows potential in helping users find preferences that are more diverse and relevant to their interests.
Co-Authors Achwaludin Amir Hasyim Anita Andriani Claudia Afaf Azzahrah Diah Puspita, Dwi Ratna Ayu Hadi Sucipto Mashuri, Chamdan Muhammad Fatkhur Rizal Mujianto, Ahmad Heru