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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Computatio : Journal of Computer Science and Information Systems Faktor Exacta JURNAL INSTEK (Informatika Sains dan Teknologi) Jurnal Nasional Komputasi dan Teknologi Informasi The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) STRING (Satuan Tulisan Riset dan Inovasi Teknologi) EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) TIN: TERAPAN INFORMATIKA NUSANTARA RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Journal of Informatics Management and Information Technology KLIK: Kajian Ilmiah Informatika dan Komputer Journal of Academia Perspectives Jurnal Informatika Dan Tekonologi Komputer (JITEK) Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer (JURITEK) Prioritas : Jurnal Pengabdian Kepada Masyarakat Journal of Computing and Informatics Research Jurnal Publikasi Teknik Informatika (JUPTI) Journal of Informatics, Electrical and Electronics Engineering Bulletin of Informatics and Data Science Jurnal Informatika: Jurnal Pengembangan IT Bulletin of Artificial Intelligence Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) Aksi Kita: Jurnal Pengabdian Kepada Masyarakat International Journal of Informatics and Data Science
Erlin Windia Ambarsari
Program Studi Teknik Informatika, Universitas Indraprasta PGRI
Aerospace Engineering Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Transportation Veterinary Other

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Shortest Path Clustering Dalam Menyaring Tingkat Kepadatan Arus Lalu Lintas Noni Selvia; Erlin Windia Ambarsari; Nurfidah Dwitiyanti
JURIKOM (Jurnal Riset Komputer) Vol 10, No 2 (2023): April 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v10i2.5979

Abstract

This study explores the application of graph clustering in identifying and analyzing the shortest traffic-related routes. Graph clustering groups points (vertices) based on road attributes. The DBSCAN method and ant algorithm are applied to classify vertices based on traffic intensity and find the optimal shortest path. This case study focuses on the Tangerang Selatan region, resulting in three clusters and identifying seven noises. Two of the three clusters are selected to calculate the shortest distance, resulting in the sequence [7, 6, 0, 1, 2, 3, 4, 8, 5] and a distance of 0.2526. This research provides insights into how to graph clustering can be used to optimize traffic routes and is expected to serve as a foundation for further exploration
Decision Support System in the Best Selection Coffee Shop with TOPSIS Method Reflan Revife Purba; Mesran Mesran; Mohammad Taufan Asri Zaen; Setiawansyah Setiawansyah; Dodi Siregar; Erlin Windia Ambarsari
The IJICS (International Journal of Informatics and Computer Science) Vol 7, No 1 (2023): March 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v7i1.6157

Abstract

The development of business opportunities in today's era brings many benefits as well as in coffee shops. Coffee Shop is a place to relax or gather with friends, family to release boredom, after daily activities, and Coffee shop enthusiasts are quite well known both from teenagers to parents, where coffee shop fans must have an ability to visit the coffee shop. This research has a goal to generate a decision support system (DSS). Which is where the decision support system (DSS) has utility as a tool to make the best coffee shop decisions overall. By setting the TOPSIS (Technique For Order Preference By Similarity To Ideal Solution) method by getting the preference value as the first rank. So with this, the best coffee shop is found in alternative A04 with the highest score of 0.9911 on behalf of Arata Coffee
Pendekatan Violin Plot sebagai Pengenalan Pola untuk Interpretasi Data Penjualan Spare Part Komputer Furqoni Yudhistira; Erlin Windia Ambarsari; Frieyadie
Journal of Informatics, Electrical and Electronics Engineering Vol. 2 No. 4 (2023): Juni 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jieee.v2i4.925

Abstract

This study examines the use of visual modeling in understanding the sales patterns of computer spare parts at PT Prima Krida Solusindo. The use of violin plots serves as a method for data interpretation, focusing on the distribution of sales data to gain a deeper understanding of customer needs. This study involves 3893 samples with eight features being analyzed. Initial results show a broad variation in the sales of computer spare parts. For example, the highest unit sales occur in the first quarter, but the sales volume tends to be low. Opposite, sales in the second quarter tend to focus on purchases with a relatively similar volume. In addition, preferences for distribution channels, sales segmentation, sub-segmentation, and product types also vary in sales volume. While the violin plot aids in visualizing data distribution, this study also found that this method has limitations, such as category overlapping, that complicate interpretation. The inclusion of additional plots can facilitate a more detailed interpretation
Penerapan Metode SWOT-MAGIQ Sebagai Strategi Peningkatan Pelayanan Jasa Laundry Relo Subagio; Erlin Windia Ambarsari; Rezkiyana Hikmah
TIN: Terapan Informatika Nusantara Vol 3 No 12 (2023): May 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v3i12.4140

Abstract

Small and Medium-sized Laundry Service Enterprises face stiff competition and rapidly changing market dynamics in the contemporary business era. This study aims to understand the key factors influencing the success of Small and Medium-sized Laundry Service Enterprises through a SWOT analysis, focusing on strengths, weaknesses, opportunities, and threats. Using the Rank Order Centroid (ROC) method for criteria evaluation, this research found that "Employee Friendliness" is the primary strength. At the same time, "Lack of Human Resources" is a significant weakness. On the other hand, "Good Customer Relations" was identified as the most significant opportunity, and "Emergence of Competitors" was the primary threat. These findings highlight the importance of human interaction in service businesses and the need to enhance HR capabilities. This study provides valuable insights for Small and Medium-sized Laundry Service Enterprises on leveraging strengths, addressing weaknesses, capitalizing on opportunities, and confronting threats for sustainable business success
Pemenuhan Persyaratan Permohonan Paten dengan Metode Multi-Attribute Global Inference of Quality (MAGIQ) Vierhan Rahman; Erlin Windia Ambarsari; Finata Rastic Andrari
TIN: Terapan Informatika Nusantara Vol 4 No 1 (2023): June 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v4i1.4207

Abstract

As a decision support system, we implemented the Multi-Attribute Global Inference of Quality (MAGIQ) method in patent applications. By employing the Rank Order Centroid (ROC) weighting approach, we determined that MAGIQ provides an effective and efficient solution for addressing challenges in the patent application process. Although previous studies have applied MAGIQ to software quality evaluation, our application in selecting patent applicants introduces a new perspective. Our analysis identified Applicant 2 as the most suitable, achieving the highest score of 0.454861. Furthermore, when comparing our results with those derived from the Analytical Hierarchy Process (AHP) method, we observed a high consistency in rankings, affirming MAGIQ's reliability. Consequently, we suggest applying MAGIQ to more intricate problems to delve deeper into its potential and constraints in diverse contexts
Klasifikasi Daya Tarik Konten Artikel Media Daring Dari Data Google Analytics Dengan C-FDT Erlin Windia Ambarsari
Jurnal Informatika: Jurnal Pengembangan IT Vol 3, No 2 (2018): JPIT, Mei 2018
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v3i2.876

Abstract

Information of article which had attractive contains as Trending Topics, although this is article hoax or not. The frequency of article's content which created by online media, it can be monitored by Google Analytics. One of the reasons for using Google Analytics is to understand the content of a site which leads to the change and behavior of behind the content. Google Analytics can be regarded as web analytics software with ease of installation. Classification of Google Analytics data with C-Fuzzy Decision Tree (C-FDT), aims to get the attraction of article content, which means having special attention from visitors and the article can be interesting or not, and observed whether C-FDT can recognize patterns from metric data Google Analytics. The purpose of this study is the results of FDT are expected to facilitate online media managers to analyze the content of articles and evaluate content groups tend to potentially gain traffic for getting promotional or marketing advertising as revenue from online media sites. The results obtained are C-FDT can recognize the pattern of Google Analytics metrics thus as facilitating the search of the article content into a simple form that is the reduction of attributes by grouping data with the same object and the data had Pruning. Online media managers can focus on certain attributes that have a big effect on Content Articles. However C-FDT is having trouble dealing with data sync due to system errors when retrieving data from Google Analytics. Therefore it is necessary to monitor data in time series.
Visualisasi Decision Making MAGIQ melalui GAIA Biplot: Kasus Permohonan Paten Erlin Windia Ambarsari; Sri Melati Sagita; Dudi Parulian
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1343

Abstract

Data visualization and Multi-criteria Decision Making (MCDM) are crucial in analyzing and interpreting complex data and supporting data-based decision-making processes. This research integrates MAGIQ, an MCDM approach, with Improved Rank Order Centroid (IROC) weighting and data visualization using the Geometrical Analysis for Interactive Aid (GAIA) biplot. This study aims to understand the relationship between criteria and alternatives in MAGIQ, facilitated by IROC weighting to interpret alternative selection. The research findings indicate that for the 'Patent Description' criterion, the IROC weight value is 0.513401, signifying the importance of this criterion in the assessment context. In the case of alternative P2, the total MAGIQ score obtained is 0.4485124, indicating that P2 is the best alternative based on the given criteria. P1 and P3 received MAGIQ scores of 0.2775665 and 0.2739211, respectively, placing them in the second and third ranks. This research implements the IROC method in MAGIQ in a systematic manner, where specific coefficients are used to calculate the weight of each criterion, and a GAIA biplot is utilized to visualize the relationship between criteria and alternatives. The practical application of this approach can be seen in patent application cases, where decision-makers can use it to evaluate complex alternatives in a more structured and data-based manner
Algoritma K-Means untuk Mengelompokkan Hotel di Sekitar Wilayah Indonesia yang Rentan Gempa Bumi Nurfidah Dwitiyanti; Erlin Windia Ambarsari; Noni Selvia
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 4 No. 2 (2023): RESOLUSI November 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v4i1.1477

Abstract

Due to its location on the Pacific Ring of Fire, Indonesia frequently experiences earthquakes. This phenomenon endangers society and infrastructure, including the hotel industry. Hotels are placed based on locations around areas of Indonesia vulnerable to earthquakes so that hotel owners can use hotel designs and construction that are earthquake-resistant when built. This is because areas with high earthquakes increase the risk of damage to hotel buildings. This research uses hotel geographic location data and Indonesian seismic data to classify hotels in earthquake-prone regions of Indonesia using the K-Means algorithm. Data was taken from USGS from January 2022 to November 2023. Using the K-Means algorithm, hotels were aggregated into clusters based on their proximity to the earthquake epicenter and recorded earthquake magnitude. The research results show that there are two ideal clusters based on the highest Shilhoutte value, namely 0.954, which means it can be sent into two different clusters based on latitude, longitude, and hotel address, with four hotels and three hotels as members of each cluster. Hotels Mutiara, Saparua, and Tiara have a higher level of vulnerability than other hotels because they are located near the earthquake. This research can help hotel owners and policymakers create strategies to reduce risk, increase safety, and develop sustainability in earthquake-prone regions.
Optimization of ID3 Structure for Academic Performance Analysis using Ant Colony Algorithm Fathudin, Dedin; Ambarsari, Erlin Windia; Paramita, Aulia
Building of Informatics, Technology and Science (BITS) Vol 6 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i1.5353

Abstract

This study investigates the optimization of the ID3 algorithm for academic performance analysis using the Ant Colony Optimization (ACO) method. The primary research problem addressed is the inefficiency and overfitting of traditional ID3 in complex and noisy datasets. Therefore, the ACO method is integrated to enhance the ID3 structure, improving classification accuracy and computational efficiency. The research objectives include developing a decision tree model based on assignment, mid-term, and final exam scores for student performance evaluation. The method combines ID3's decision-making capabilities with ACO's optimization process, which uses pheromone trails to find optimal paths in constructing the decision tree. Temporary results show that the ACO-ID3 model achieves an accuracy of 85% with improved consistency and lower variability compared to the traditional ID3 model, which has an accuracy of 89% but higher variability; this indicates that while traditional ID3 may slightly outperform in accuracy, the ACO-ID3 model provides more stable and reliable performance across different data subsets. The study concludes that ACO-ID3 is a practical and effective tool for academic performance analysis, particularly in cases requiring consistent and reliable classification
Applying IROC Method in Patent Submission Evaluation in Indonesia: A Comparison with MAGIQ and AHP Ambarsari, Erlin Windia; Rahman, Vierhan; Cholifah, Wahyu Nur
Bulletin of Informatics and Data Science Vol 2, No 2 (2023): November 2023
Publisher : PDSI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61944/bids.v2i2.75

Abstract

This study applies the Improved Rank Order Centroid (IROC) to the Indonesian patent submission process within a Multi-Criteria Decision Making (MCDM) framework. The study evaluates four primary elements in patent assessment: "Patent Description," "Illustration," "Inventor's Ownership Statement," and "Rights Assignment Declaration." Preliminary findings indicate the importance of "Patent Description," followed by the other elements in descending order of significance. The evaluation also encompasses three applicant alternatives, with the Second Applicant emerging as the most favorable. The study further contrasts IROC outcomes with MAGIQ and AHP methodologies. While rank-based techniques like ROC and IROC generally produce similar weight distributions, the AHP method, which employs pairwise comparisons, often displays variations. The research underscores the potential of IROC in determining criterion weights, its comparison within the MAGIQ framework, and its validation through AHP. These insights aim to deepen our understanding of decision-making processes and analysis. The conclusion from comparing IROC results with MAGIQ and AHP indicates that the applicant rankings remain consistent. Therefore, further research is needed to understand the differences between evaluation methods and their impacts and explore the influence of cultural or regional factors in the patent submission process
Co-Authors Abdul Karim Ade Irma Agustina Lubis Agi Candra Bramantia Agus Perdana Windarto Aulia Paramita Bramantia, Agi Candra Dedin Fathudin Desyanti Desyanti Desyanti Dodi Siregar Dodi Siregar Dona Katarina Dudi Parulian Fathudin, Dedin Fazrie, Mohammad Finata Rastic Andrari Frieyadie Furqoni Yudhistira Gravita Alfiani Herlinda Herlinda Herlinda Herlinda Herlinda Herlinda Herlinda Herlinda, Herlinda Hetty Rohayani Jahril Jayawarsa, A.A. Ketut Jeperson Hutahaean Jumaryadi, Yuwan KUSTIAN, NUNU Laurent Nababan Mesran, Mesran Mohammad Taufan Asri Zaen Noni Selvia Noni Selvia Nunu Kustian Nurfidah Dwitiyanti Nurfidah Dwitiyanti Paramita, Aulia Parulian, Dudi Puji Lestari, Fibria Anggraini Purba, Bister Putri Dina Mardika Rahman, Vierhan Randi Ramliyana Reflan Revife Purba Relo Subagio Rezkiyana Hikmah Ridha Maya Faza Lubis Rizki Ridwan Rizki Ridwan Roswita Daeli RR. Ella Evrita Hestiandari Saidah, Fatiyah Setiawansyah Setiawansyah Siagian, Jaya Sari Anggraini Siti Khotijah Sofiansyah Fadli Sri Agustiani Br Siburian Sri Melati Sagita Subagio, Relo Sunarmintyastuti, Lies Vierhan Rahman Wahyu Nur Cholifah Wilatiktah, Anatasya Aulya