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All Journal Jurnal Teknologi dan Manajemen Informatika Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika)
Moh. Zulfiqar Naufal Maulana
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering

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Pengembangan Kakas Bantu Penentu Prioritas Kebutuhan Fungsional Sistem dengan Menerapkan Algoritme Genetik Moh. Zulfiqar Naufal Maulana; Denny Sagita Rusdianto; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1175.9 KB)

Abstract

Functional requirement is a functions that must be had in the system that is being develop. Software requirement must be able to overcome the problems that is being faced by stakeholders so that it can facilitate the work of a stakeholder. Determination of priority requirement is something that can determine which system is useful or even fails in its development. An analyst's mistake in ranking the importance of a requirement often results in failure in the development process due to problems of time and resources. Genetic algorithm is an artificial intelligence method developed to solve complex problems in various sciences, such as mathematics, physics, biology, and so on. The usage of genetic algorithm methods in the process of calculating the priority of this requirement is done by calculating the value of disagreement on a chromosome which is carried out continuously until the optimal priority requirements are obtained. The result of these methods is obtained a system that be able to calculate the priority requirements that are feasible to use as a reference in ranking system requirements priority.
Moderasi Promosi pada Pengaruh Perceived Ease of Use Terhadap Minat Penggunaan Paylater Prajogo, Uke; Maulana, Moh. Zulfiqar Naufal
Jurnal Teknologi dan Manajemen Informatika Vol. 9 No. 2 (2023): Desember 2023
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v9i2.11172

Abstract

This research aims to analyze the influence of perceived ease of use on interest in using pay-later with the moderation of promotion. The research object is SMEs (small and Medium Enterprises) affiliated with ABM Preneur. The sampling method used is stratified purposive random sampling. The researcher determined the sample criteria as follows: 1. SMEs affiliated with ABM Preneur, 2. Awareness or prior use of Paylater. To determine the minimum sample size, the researcher used the Slovin Technique. The population size in this study is 71 SMEs, and a sample of 60 individuals was obtained. The sample size was determined using the Slovin formula. Data analysis was conducted using SmartPLS 3, where variable X1 is perceived ease of use, variable Y is interest in using pay-later, and variable Z is promotion. The research results show that H1 and H2 are accepted. Therefore, perceived ease of use has a positive and significant influence on interest in using pay-later. Promotion moderates the influence of perceived ease of use on interest in using pay-later. The limitation of this research is that it only analyzes the moderation of promotion and the influence of perceived ease of use on the interest in using pay-later in SMEs affiliated with ABM Preneur in Malang City.
DRE!: A RULE-BASED SOFTWARE REQUIREMENT EXTRACTION FRAMEWORK FOR INDONESIAN DOCUMENTS Maulana, Moh. Zulfiqar Naufal; Adrian, Ahmad Reza; Adhyaksa, Fathan Alfariel; Prasetya, Didik Dwi; Ardiansyah, Jevri Tri; Adha, Hanif Rifai
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 11, No 1 (2026)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v11i1.9357

Abstract

Extracting software requirements from descriptive documents is a crucial yet challenging phase in software engineering, par-ticularly when performed manually. This research proposes DRE!, a framework for automatically extracting functional requirements from Indonesian-language system descriptions. The employed methodology applies a concise workflow that begins with data acquisition, involving a system description and a predefined list of actors. The process continues with preprocessing, word dependency parsing for grammatical analysis, actor detection featuring a previous-sentence refer-ence mechanism, and requirement construction using an ac-tor-centric template. The workflow concludes with a similarity check (cosine similarity) for redundancy elimination. The framework was evaluated on eight software description da-tasets. The evaluation results demonstrate promising perfor-mance, with F1-Scores on seven of the eight datasets ranging from 0.76 to 0.88. Peak performance was recorded on the "EduLearn" dataset (F1-Score 0.88). However, an anomaly was identified in the "LogiWare" dataset (F1-Score 0.52), which was attributed to a high rate of False Positives. This finding indicates that DRE! is effective in extracting require-ments, but its performance is highly influenced by the clarity and linguistic style of the source documents.
Co-Authors Adha, Hanif Rifai Adhyaksa, Fathan Alfariel Adrian, Ahmad Reza Ardiansyah, Jevri Tri Denny Sagita Rusdianto Didik Dwi Prasetya Edy Santoso Uke Prajogo