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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) Prioritas : Jurnal Pengabdian Kepada Masyarakat Journal of Computing and Informatics Research Kapas: Kumpulan Artikel Pengabdian Masyarakat Journal of Informatics, Electrical and Electronics Engineering Bulletin of Informatics and Data Science Jurnal Informatika: Jurnal Pengembangan IT CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Bulletin of Artificial Intelligence Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) Aksi Kita: Jurnal Pengabdian Kepada Masyarakat International Journal of Informatics and Data Science Jurnal Informatika Dan Tekonologi Komputer Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Jurnal Publikasi Teknik Informatika
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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KORELASI GEJALA PENYAKIT FLU PADA ANAK BALITA DENGAN MENGGUNAKAN ALGORITMA SEMUT Noni Selvia; Erlin Windia Ambarsari; Nurfidah Dwitiyanti
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 2 No. 2 (2022): Juli : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v2i2.246

Abstract

Influenza is one of the most common illnesses suffered by toddlers. Knowing the symptoms that appear most quickly, parents can provide appropriate first aid to their toddlers. A graph is a field of mathematics used to find the fastest pathways in a path based on the starting point to the endpoint. The graph used is a weighted graph with weights taken from the moderate pain suffered by toddlers, in which the range of a pain scale is 0 – 10. Then, using the ant algorithm to determine the distance from symptoms that often appear. The results obtained from pheromone evaporation of the ant algorithm are Fever (P1), Headache (P2), Weakness (P7), Vomiting (P8), and Diarrhea (P9). The pheromones taken as pathways were high pheromone values P1–P2 (0.0905), P2–P7 (0.0874), P7–P8 (0.0811), and P8–P9 (0.0810). Ant algorithm can identify flu symptoms in children under five and explain the relationship between the symptoms.
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 : Lembaga Pengembangan Kinerja Dosen

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
Optimalisasi Pembuatan Konten dan Campaign Pemasaran Kreatif Melalui Pemanfaatan Generative AI Chat GPT di PT. Alfa Cipta Teknologi Virtual Mohammad Fazrie; Erlin Windia Ambarsari; Dudi Parulian
Aksi Kita: Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 3 (2025): MEI-JUNI
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.
INTERPRETASI BASIS DATA DENGAN PENDEKATAN TABULASI SILANG UNTUK PEMETAAN DIAGRAM VENN Nurfidah Dwitiyanti; Erlin Windia Ambarsari; Nunu Kustian
Jurnal Publikasi Teknik Informatika Vol. 1 No. 2 (2022): Mei : Jurnal Publikasi Teknik Informatika
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v1i2.345

Abstract

Venn diagrams group data sets based on relations, either in the form of combined or slice sets. Venn Diagram mapping occurs when there are interrelated data sets. Weaknesses Venn diagrams do not show interconnected data, such as how many data records come from sorting Query data. In this study, cross-tabulation supports indicating related data in the database, making a Venn Diagram. This research uses cross-tabulation results to facilitate Venn Diagram mapping in database exploration. The variable used as experimental material is student test scores. Database interpretation has evidenced cross-tabulation to map Venn Diagram by separating Grade levels. The breakdown of Grade levels makes it easier to understand the visualization of data in the Venn Diagram. Merging Assignments, UTS, and UAS workable if they have the same goal, referring to the Grade as the data centre. The results obtained that the Grade value with the highest achievement is A-. Assignments worth >= 81.5 by 41%, UTS between values ​​of 73-85.5 by 21%, and UAS between values ​​of 77.5-82.5 by 24%.
Pengembangan Model Decision Tree Menggunakan Particle Swarm Optimization untuk Klasifikasi Popularitas, Infrastruktur, dan Potensi Pasar Wilayah Jabodetabek Erlin Windia Ambarsari; Nunu Kustian; Putri Dina Mardika
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): July 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.
Co-Authors Abdul Karim Ade Irma Agustina Lubis Agi Candra Bramantia Agus Perdana Windarto Andreas Adi Trinoto Annisa Elfina Augustia Aulia Paramita Baehaqi Bramantia, Agi Candra Dedin Fathudin 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 Mercy Hermawati Mesran, Mesran Mohammad Taufan Asri Zaen Noni Selvia Noni Selvia Nunu Kustian Nunu Kustian Nurfidah Dwitiyanti Nurfidah Dwitiyanti Paramita, Aulia Parulian, Dudi Puji Lestari, Fibria Anggraini Purba, Bister Putri Dina Mardika Putri Dina Mardika Rahman, Vierhan Randi Ramliyana Reflan Revife Purba Relo Subagio Rezkiyana Hikmah Ridha Maya Faza Lubis Rizki Ridwan Rizki Ridwan Roswita Daeli Roznim, Roznim RR. Ella Evrita Hestiandari Saidah, Fatiyah Setiawansyah Setiawansyah Siagian, Jaya Sari Anggraini Siti Julaeha, Siti Sofiansyah Fadli Sri Agustiani Br Siburian Sri Melati Sagita Subagio, Relo Sunarmintyastuti, Lies Vierhan Rahman Wahyu Nur Cholifah Wilatiktah, Anatasya Aulya