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Identifikasi Teknik Data Mining Metode Asosiasi: Systematic Literature Review Lutfina, Erba; Yuanita, Syafira Putri; Dimentieva, Imelda; Pribadi, Ahmad Naufal; Syahidan, Mukhammad Shaunan; Safa’at, Mochammad Alief Fauzan Akbar; Loekito, Joseph
Science Technology and Management Journal Vol. 4 No. 2 (2024): Agustus 2024
Publisher : Fakultas Sains dan Teknologi, Universitas Nasional Karangturi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53416/stmj.v4i2.257

Abstract

Data mining is a process of collecting important information from large data. Data mining has many functions, one of which is the description function. In this case, the description function is that later data mining can find certain patterns hidden in data. This research aims to identify which association methods in data mining are most often used, identify the most dominant dataset models in association methods, identify the most relevant journal years in association methods, identify what fields most often use association methods, and find out the objectives of researchers using association methods such as FP-Growth and Apriori in various related journals. Using a Systematic Literature Review (SLR) approach, to answer the research questions that have been prepared from the analysis with a total of 33 related journals. So as a result, this study shows that the application of the SLR method can provide answers to the research questions that have been prepared.
Metode dan Algoritma Dalam Sentimen Analisis: Systematic Literature Review Lutfina, Erba; Andriana, Wiwin; Wiratmaja, Sanina Quamila Putri; Febrianti, Ervina
Science Technology and Management Journal Vol. 4 No. 2 (2024): Agustus 2024
Publisher : Fakultas Sains dan Teknologi, Universitas Nasional Karangturi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53416/stmj.v4i2.274

Abstract

This study highlights the advantages of sentiment analysis using algorithms in understanding public opinion, especially in the context of the increasing complexity of digital content. To investigate and present the latest developments in sentiment analysis, this study uses the Systematic Literature Review (SLR) method to identify and evaluate previously developed sentiment analysis methods. The research steps involve identifying significant sentiment analysis methods, assessing advantages and disadvantages, and critically reviewing recent advances. By applying algorithms in this process, it is expected to be able to analyze and describe the development of sentiment analysis research comprehensively. Through the application of the SLR method, this study is expected to provide in-depth insights into trends, challenges, and opportunities for future research in sentiment analysis, create a better understanding of effective sentiment analysis methods, and detail the expected results that can be expected in the development of sentiment analysis.
Strengthening Digital Literacy Skills through the “Digital Learning Hub” Program in Ngasem Village Anwarri, Kenza Amalia Putri; Lutfina, Erba; Udayanti, Erika Devi; Mellati, Pita
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol 6, No 3 (2024): BUDIMAS : Jurnal Pengabdian Masyarakat
Publisher : LPPM ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/budimas.v6i3.14858

Abstract

The high level of juvenile delinquency in Ngasem village is known to originate from the lack of parental attention, access to content on the internet that should not be consumed, and the lack of positive activities for students. Meanwhile, dropping out of school in Ngasem village was not only due to decreased motivation to learn but also because parents could not pay for their children to continue their education. From the survey results, it is known that people who are not working are because after the Covid-19 pandemic, people do not have either soft skills or hard skills. From analyzing these problems, PPK Ormawa Biro Sistem Informasi PSDKU Udinus Kediri proposed a solution to improve digital literacy for children in Ngasem village. The form of increasing digital literacy is packaged in the Digital Learning Hub program by implementing 6 literacy corners. The proposed digital literacy training are FunCoding Literacy, Animation, Graphics, Content Making, TrainingPreneur, and Parenting and Sex Education. From the series of PPK Ormawa activities, it can be concluded that the Digital Learning Hub program can be used to improve creative thinking and computation for participants. The implementation of coding training activities and basic programming concepts achieved a satisfaction target of more than 90%, which means that this activity was enthusiastically welcomed by the participants.
Strengthening Digital Literacy Skills through the “Digital Learning Hub” Program in Ngasem Village Anwarri, Kenza Amalia Putri; Lutfina, Erba; Udayanti, Erika Devi; Mellati, Pita
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol. 6 No. 3 (2024): BUDIMAS : Jurnal Pengabdian Masyarakat
Publisher : LPPM ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The high level of juvenile delinquency in Ngasem village is known to originate from the lack of parental attention, access to content on the internet that should not be consumed, and the lack of positive activities for students. Meanwhile, dropping out of school in Ngasem village was not only due to decreased motivation to learn but also because parents could not pay for their children to continue their education. From the survey results, it is known that people who are not working are because after the Covid-19 pandemic, people do not have either soft skills or hard skills. From analyzing these problems, PPK Ormawa Biro Sistem Informasi PSDKU Udinus Kediri proposed a solution to improve digital literacy for children in Ngasem village. The form of increasing digital literacy is packaged in the Digital Learning Hub program by implementing 6 literacy corners. The proposed digital literacy training are FunCoding Literacy, Animation, Graphics, Content Making, TrainingPreneur, and Parenting and Sex Education. From the series of PPK Ormawa activities, it can be concluded that the Digital Learning Hub program can be used to improve creative thinking and computation for participants. The implementation of coding training activities and basic programming concepts achieved a satisfaction target of more than 90%, which means that this activity was enthusiastically welcomed by the participants.
Metode dan Algoritma Dalam Data Clustering: Systematic Literature Review Adji, Dian Restu; Lutfina, Erba; Ferdianto, Bhekti Eka; Prashanti, Eva; Anwarri, Kenza Amelia Putri; Prayogo, Syahrul Rizqi
Science Technology and Management Journal Vol. 5 No. 1 (2025): Januari 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Nasional Karangturi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53416/stmj.v5i1.326

Abstract

This study is Systematic Literature Review (SLR) of 34 journals related to data grouping techniques (clustering). The main objective of the study is to investigate the use of clustering methods in various research fields. In order to achieve this goal, this study answers five main research questions. First, this study analyzes research fields where clustering methods are often used in data mining applications. Second, this study identifies the most frequently used clustering methods based on data from the journals that have been collected. Third, this study determines the clustering method that provides the most optimal number of groups (clustering) based on the analysis of these journals. Fourth, this study identifies the types of data sets that are most often used in the context of clustering. Finally, this study looks at the distribution of the publication years of these journals to present a time frame of the development of clustering research. The results of this study provide in-depth insight into the trend of the use of clustering methods in various research contexts, provide information on the most commonly used methods, identify methods that provide optimal results, describe the dominant types of data sets, and provide a chronological perspective on the development of clustering research. These findings can provide valuable guidance for researchers interested in applying or developing clustering methods in specific fields.
Implementasi Metode Simple Additive Weighting (SAW) Dalam Mendukung Keputusan Calon Penerima Beasiswa Pada MTS Nurul Ula Febrianti, Ervina; Lutfina, Erba; Saraswati, Galuh Wilujeng; Mahmud, Wildan
Science Technology and Management Journal Vol. 5 No. 2 (2025): Agustus 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Nasional Karangturi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53416/stmj.v5i2.350

Abstract

Scholarships are a form of educational aid to support students’ academic pursuits, especially for those with outstanding performance or financial constraints. However, the scholarship recipient selection process at MTS Nurul 'Ula is still conducted manually, which often results in inefficiency and a lack of objective assessment standards. This manual process leads to subjective evaluations, takes a considerable amount of time, and may result in inaccurate scholarship decisions. Therefore, this study aims to develop a Decision Support System (DSS) using the Simple Additive Weighting (SAW) method to improve efficiency, accuracy, and transparency in the scholarship selection process. The SAW method was chosen because it allows for clear weighting of each selection criterion, such as academic grades, attitude scores, parental income, number of dependents, and extracurricular achievements. With this system, the selection process can be carried out more objectively based on structured mathematical weighting and calculations. The system is developed using the Delphi and MySQL database, following the Waterfall development model. The results of the study show that the implementation of the SAW-based DSS can accelerate the selection process, reduce subjectivity, and ensure that scholarships are awarded to students who meet the predetermined criteria. Thus, the system is expected to be a fairer, more accurate, and more efficient solution for supporting scholarship selection decisions at MTS Nurul 'Ula. Based on the results of the SAW calculations, an accuracy rate of 85% was achieved, indicating that the system provides accurate and reliable results in determining scholarship recipients.
IMPLEMENTASI METODE ANALYTICAL HIERARCHY PROCESS (AHP) DALAM MENDUKUNG KEPUTUSAN PEMILIHAN REKOMENDASI HANDPHONE Yustiqomah, Evita Citra; Lutfina, Erba; Saraswati, Galuh Wilujeng; Mahmud, Wildan
Science Technology and Management Journal Vol. 5 No. 2 (2025): Agustus 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Nasional Karangturi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53416/stmj.v5i2.358

Abstract

In the rapidly evolving digital era, the demand for mobile phones is increasing, with a wide range of specifications and price points available. PT. Topsell Raharja Indonesia, as one of the leading mobile phone retailers, faces challenges in providing fast and accurate recommendations that align with the needs of prospective buyers. The manual phone selection process currently used by sales staff often leads to errors in decision-making, resulting in service delays and customer dissatisfaction. Therefore, this study aims to develop a Decision Support System (DSS) based on the Analytical Hierarchy Process (AHP) to assist the store in recommending optimal mobile phones based on specific criteria. The AHP method is utilized to analyze and compare several key criteria—including price, RAM capacity, camera quality, battery life, performance, and design—in order to determine priority rankings for phone selection. The results demonstrate that the proposed system improves the efficiency of recommendations, reduces selection errors, and accelerates the customer service process. The implementation of the AHP method enables objective and accurate suggestions, achieving up to 98% accuracy. By systematically calculating the weight of each criterion, the system generates optimal alternatives tailored to the preferences and needs of prospective buyers
PELATIHAN CODING FOR TEENS DAN DIGITAL CONTENT CREATION SEBAGAI PENINGKATAN LITERASI DIGITAL DI DESA NGASEM Saraswati, Galuh Wilujeng; Lutfina, Erba
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol. 7 No. 2 (2025): BUDIMAS : Jurnal Pengabdian Masyarakat
Publisher : LPPM ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/budimas.v7i2.17613

Abstract

The high rate of juvenile delinquency and school dropouts in Ngasem Village, Ngasem District, Kediri Regency, has become an urgent social issue that must be addressed. This problem is exacerbated by the lack of digital literacy and the absence of non-formal learning activities for village youth. This community service program aims to enhance digital literacy through Coding for Teens and Digital Content Creation training as a preventive measure against juvenile delinquency. The implementation method uses the ABCD (Asset-Based Community Development) approach, consisting of appreciative interviews, community asset mapping, asset mobilization, action plan formulation, and monitoring and evaluation. The results of the program show the successful development of an applicable non-formal curriculum and high participant enthusiasm. Based on the satisfaction survey, 60% of participants were satisfied and 40% were very satisfied with the training. Regarding expectation alignment, 72% of participants were very satisfied, 20% were satisfied, and 8% considered it adequate. As for the responsiveness of the team to participant questions, 68% felt very satisfied and 32% were satisfied. Moreover, 60% of participants recommended follow-up training. These outcomes indicate that the training succeeded in fostering digital learning interest, forming youth-led task forces, and creating a renewed spirit in utilizing technology for positive and productive purposes. It is expected that this program can be continued and become a model for digital literacy-based community empowerment in other rural areas.