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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
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PERAN DATA STORE DALAM MEMPRESENTASIKAN HUBUNGAN DATA FLOW DIAGRAM SSADM DENGAN ENTITY RELATIONSHIP DIAGRAM Rizki Ridwan; Nunu Kustian; Erlin Windia Ambarsari
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 2 No. 2 (2022): Juli: Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v2i2.412

Abstract

The information system development step often used is the System Development Life Cycle (SDLC). One of the SDLC stages is system design. It uses the Data Flow Diagram version of the Structured System Analysis and Design Methodology (SSADM) because it is a traditional model closely related to the waterfall model. This study aims to prove the role of the data store in the DFD and become an entity in the Entity-Relationship Diagram (ERD) to see the relationship between each entity. Benefit the associative method tests the connection of the data store on the DFD, which is realized to the ERD. The results obtained are the role of the data store in the DFD to become an entity on the ERD with a proven query table to facilitate data retrieval. Keywords: Entity Relationship Diagram, Data Flow Diagram, SDLC, SSADM
Effectiveness of Weighting in Assessing Ranking Criteria on the SWOT-MAGIQ Matrix Ambarsari, Erlin Windia; Subagio, Relo; Mesran, Mesran
Bulletin of Informatics and Data Science Vol 3, No 1 (2024): May 2024
Publisher : PDSI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61944/bids.v3i1.85

Abstract

The Analytical Hierarchy Process (AHP) has been a prominent tool in decision-making, but the Multi-Attribute Global Interference of Quality (MAGIQ) offers an alternative with its unique weighting mechanism. This research delves into the effectiveness of weighting in assessing ranking criteria within the SWOT-MAGIQ matrix. The study contrasts the traditional Rank Order Centroid (ROC) approach with the Improved Rank Order Centroid (IROC), focusing on their application in the SWOT analysis. While ROC provides simplicity, IROC aims for enhanced accuracy by considering variability in rankings. The results indicate nuanced differences, with ROC assigning higher weights to criteria such as "Friendly Staff" (0.3183 vs. IROC’s 0.3125), while IROC prioritizes aspects like "Strong Customer Relationships" more significantly (0.1103 vs. ROC’s 0.1053). The choice between ROC and IROC hinges on the specific needs of the decision-making context, with IROC potentially offering a more detailed perspective in complex scenarios. This research underscores the importance of selecting the appropriate weighting mechanism to ensure informed and strategic decisions within the SWOT-MAGIQ framework
Penerapan Metode Additive Ratio Assement (ARAS) dalam Pemilihan Customer Service Terbaik Sri Agustiani Br Siburian; Mohammad Taufan Asri Zaen; Setiawansyah; Dodi Siregar; Erlin Windia Ambarsari; Yuwan Jumaryadi
Journal of Informatics Management and Information Technology Vol. 3 No. 1 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v3i1.239

Abstract

There are several references or assessments in determining the best customer service, including those based on customer service performance assessments, namely Cross Selling, Greeting Service Recovery, Grooming, and Discipline. In this study the authors used the ARAS method in selecting the best Customer Service. Use the Additive Ratio Assessment (ARAS) method where each criterion is compared to produce the best. The results of the study provide alternative A3 which is the alternative chosen to be the best alternative with a value of 0.2207.
Sistem Pendukung Keputusan Rekomendasi Pengangkatan Karyawan Kontrak Menjadi Karyawan Tetap Menerapkan Metode Multi Objective Optimization on the Basis of Ratio Analysis (MOORA) Laurent Nababan; Roswita Daeli; Dodi Siregar; Erlin Windia Ambarsari; Setiawansyah; Sofiansyah Fadli
Journal of Informatics Management and Information Technology Vol. 3 No. 2 (2023): April 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v3i2.254

Abstract

PT. Indoramah Abadi is a national plastic manufacturing company that focuses on the production of mineral water packaging. Because the amount of goods produced is quite large, the company has a large number of employees, including contract employees and permanent employees. However, the large number of employees can cause problems in determining which contract employees will be appointed as permanent employees. This problem occurs because the company does not have objective criteria in selecting permanent employees, causing jealousy among employees. In addition, the calculation process used is still manual and inaccurate, thus affecting employee performance. To overcome these problems, the authors conducted research using the MOORA method. This method is a method that can assist in making decisions by using complex mathematical calculations that can be used to solve problems in conflicting criteria, namely benefits and costs. The results of the study show that alternative A4 with a value of 0.2106 is the highest score. Therefore, it can be concluded that a contract employee named Aksa Alpindo deserves to be appointed as a permanent employee.
KORELASI BRAND IMAGE DENGAN FITUR APLIKASI TRANSPORTASI ONLINE MENGGUNAKAN PROFILE MATCHING Ambarsari, Erlin Windia; Khotijah, Siti
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 3 No 1 (2018): Volume.3, Nomor.1.April 2018
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3795.108 KB) | DOI: 10.24252/instek.v3i1.4773

Abstract

Aplikasi yang sudah dibuat, diberi brand sebagai identitas aplikasi dan pembeda dengan aplikasi yang sejenis dengan tujuan agar mudah diingat oleh masyarakat sebagai brand image, karena itu aplikasi terdapat fitur-fitur yang ditonjolkan dan menjadi ciri khas pada aplikasi tersebut sehingga dari fitur-fitur tersebut mempengaruhi persepsi membentuk brand image dalam pikiran masyarakat. Diperlukan Profile Matching untuk menganalisis korelasi antara brand image dengan fitur aplikasi transportasi online. Objek yang diambil untuk aplikasi transportasi online adalah Gojek dan Grab, dimana kesimpulan yang didapatkan adalah menurut persepsi kuesioner, Brand Image Grab mendapat nilai bobot tertinggi (4.725) karena berdasarkan fitur-fiturnya Grab adalah aplikasi transportasi dan Gojek adalah aplikasi layanan jasa. Sehingga tidak dapat dibandingkan satu dengan yang lain.Kata Kunci : Aplikasi, Brand Image, Fitur, Profile Matching
Optimalisasi Pembuatan Konten dan Campaign Pemasaran Kreatif Melalui Pemanfaatan Generative AI Chat GPT di PT. Alfa Cipta Teknologi Virtual Fazrie, Mohammad; Ambarsari, Erlin Windia; Parulian, Dudi
Aksi Kita: Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 3 (2025): JUNI 2025
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/b05znj35

Abstract

Pelatihan ini bertujuan untuk membantu tim pemasaran PT. Alfa Cipta Teknologi Virtual dalam memanfaatkan Generative AI, khususnya ChatGPT, guna mengoptimalkan proses pembuatan konten dan perencanaan kampanye pemasaran yang lebih kreatif, efektif, dan efisien. Di tengah persaingan digital yang semakin ketat, kemampuan untuk menciptakan konten yang menarik, relevan, dan sesuai dengan karakter audiens menjadi aspek krusial dalam menentukan keberhasilan suatu kampanye. Oleh karena itu, teknologi kecerdasan buatan seperti ChatGPT dapat menjadi solusi strategis untuk mendukung proses kreatif tim secara berkelanjutan. Melalui pelatihan ini, peserta tidak hanya dikenalkan pada dasar-dasar Generative AI, tetapi juga dibekali keterampilan praktis dalam menyusun prompt, menghasilkan berbagai bentuk konten pemasaran (deskripsi produk, caption media sosial, headline iklan, dan lainnya), serta melakukan eksplorasi ide kampanye digital secara sistematis. Selain itu, pelatihan ini membahas integrasi AI ke dalam workflow pemasaran guna meningkatkan engagement pelanggan dan potensi konversi penjualan. Diharapkan, dengan pemahaman dan penerapan teknologi ini, tim pemasaran PT. Alfa Cipta Teknologi Virtual mampu mempercepat proses produksi konten, memperkuat daya saing digital perusahaan, dan menghadirkan komunikasi brand yang lebih responsif serta adaptif terhadap tren pasar yang dinamis.
Pengembangan Model Decision Tree Menggunakan Particle Swarm Optimization untuk Klasifikasi Popularitas, Infrastruktur, dan Potensi Pasar Wilayah Jabodetabek Ambarsari, Erlin Windia; Kustian, Nunu; Mardika, Putri Dina
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): Juli 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7216

Abstract

Traditional markets play a vital role in local economies; however, they face challenges related to competitiveness, infrastructure quality, and legal operational status. This study aims to develop a classification model for traditional markets in the Greater Jakarta (Jabodetabek) region based on three main aspects: popularity, infrastructure readiness, and market potential. The model utilizes a Decision Tree (DT) algorithm optimized with Particle Swarm Optimization (PSO) to enhance classification accuracy while maintaining model interpretability. The dataset comprises 1,253 market entries with 15 predictive features. The classification model categorizes markets into popular or unpopular, infrastructure-ready or not-ready, and potential or non-potential groups. Experimental results demonstrate that the model achieves an average accuracy of 97.48%. Key factors influencing the classification outcomes include the number of vendors, the availability of basic facilities (electricity, clean water, toilets, and drainage), the age of the market, and the presence of an official operating license (IUP2T). The findings provide valuable insights for local governments and policymakers to prioritize market revitalization efforts based on data-driven classification results. Furthermore, this study opens future research opportunities to integrate spatial data and real-time market analytics to improve classification accuracy further and support more adaptive and effective policy-making.
Film Popularity Analysis through Combined K-Means Clustering and Gradient Boosted Trees Agi Candra Bramantia; Desyanti; Jeperson Hutahaean; Erlin Windia Ambarsari
International Journal of Informatics and Data Science Vol. 2 No. 2 (2025): June 2025
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/ijids.v2i2.81

Abstract

The dynamic and competitive nature of the global film industry presents complex challenges in predicting film popularity, as success is shaped by the interplay of production investment, casting decisions, and audience preferences. This research addresses the limitations of previous studies that have focused primarily on direct relationships, such as budget versus box office returns, by introducing an integrated analytical framework that combines K-Means clustering and Gradient Boosted Trees (GBT) with explainable AI techniques. Utilizing the TMDB movie dataset and constructing features such as actor influence and studio power, the study segments films and predicts audience ratings while providing interpretable visualizations. The results reveal four distinct film clusters and demonstrate that actor influence and budget allocation are the most significant predictors of popularity. The proposed model achieves an R² score of 0.75 and a mean squared error of 0.35 in predicting audience ratings, while cluster analysis shows that Blockbuster films reach the highest average ratings (6.76), and Underperforming films the lowest (2.42). By integrating interpretable predictive modeling and interactive scenario tools, this research offers both theoretical advancement and practical value for industry stakeholders. However, the findings are limited by the available metadata and do not account for factors such as marketing or real-time audience trends, suggesting opportunities for future research to expand the analytical framework.
PENGGUNAAN EVENT VIEWER PADA WINDOWS DALAM MENEMUKAN MASALAH Kustian, Nunu; Fathudin, Dedin; Ambarsari, Erlin Windia
Semnas Ristek (Seminar Nasional Riset dan Inovasi Teknologi) Vol 6, No 1 (2022): SEMNAS RISTEK 2022
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/semnasristek.v6i1.5826

Abstract

Perangkat komputer menjadi kebutuhan masyarakat, untuk menyelesaikan pekerjaannya secara sistem yang terintegrasi. Masalah yang sering terjadi adalah pengguna komputer tidak mengetahui kerentanan sistem, diantaranya adalah aktivitas komputer yang tidak wajar; dalam hal ini, program yang tidak seharusnya dijalankan atau ada di komputer. Beberapa tahapan dapat digunakan untuk menganalisis aktivitas tersebut. Oleh karena itu, pada penelitian ini menggunakan Windows Event Viewer untuk Pengguna Sistem Operasi Windows sebagai pemecahan masalahnya. Event Viewer adalah modul snap-in dari Windows; utilitas yang digunakan untuk memeriksa kesalahan di kedua sistem dan aplikasi Windows. Event Viewer di Windows adalah salah satu alat yang digunakan untuk meninjau sistem individual dan administrator untuk memecahkan masalah melalui diagnostik log aktivitas abnormal yang sudah masuk dalam Event Viewer. Metode yang digunakan pada penelitian ini adalah forensik, yang dimana tujuannya adalah untuk menemukan kesalahan sistem berdasarkan skenario yang dibuat pada penelitian ini sebagai ilustrasi implementasi Event Viewer. Hasil yang didapatkan dari penelitian ini adalah Event Viewer dapat mendeteksi siapa saja yang berhasil masuk berdasarkan tanggal dan waktu sehingga perlu membatasi hak akses pada komputer yang digunakan.Kata Kunci: Diagnosis, Event Viewer, Windows
Co-Authors Abdul Karim Ade Irma Agustina Lubis Agi Candra Bramantia Agus Perdana Windarto Anatasya Aulya Wilatiktah Aulia Paramita Bramantia, Agi Candra Dedin Fathudin Desyanti Desyanti Desyanti Dodi Siregar Dodi Siregar Dona Katarina Dudi Parulian 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 Lies Sunarmintyastuti 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 Sofiansyah Fadli Sri Agustiani Br Siburian Sri Melati Sagita Subagio, Relo Vierhan Rahman Wahyu Nur Cholifah