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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 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

Erlin Windia Ambarsari

Program Studi Teknik Informatika, Universitas Indraprasta PGRI

Author-ID : 624172

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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Pythagoras Tree Applied For Determined Instagram Usage Habit Decision Ambarsari, Erlin Windia; Herlinda, Herlinda
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 4 No 2 (2020): SinkrOn Volume 4 Number 2, April 2020
Publisher : Politeknik Ganesha Medan

In previous studies, Pythagoras Tree constructed using the Regression Method, namely ID3 of Standard Deviation Reduction (SDR). The study using SDR for Classification. Data obtained from previous research about Instagram Usage. The result of the study that SDR is useful for the classification method for constructing Pythagoras Tree. However, the target attribute is must use a numerical variable to gain the Standard Deviation and the Mean. Empty data does not affect calculations. Although instances must be discarded, thereby reducing the amount of data. For the case of the Instagram Usage Habit itself, not getting the right pattern to deciding due to the data obtained is less. However, Construct Pythagoras Tree successfully done.

Pengejawantahan Pendekatan Storytelling dalam Pemahaman Membangun Diagram Alir Data Herlinda Herlinda; Randi Ramliyana; Erlin Windia Ambarsari
Jurnal Pendidikan Informatika (EDUMATIC) Vol 5, No 2 (2021): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v5i2.4060

Throughout the System Development Life Cycle (SDLC), establishment the software through various phases. System design is one of the most crucial aspects of the SDLC. The Data Flow Diagram (DFD) is a model to build the system. The purpose of the research was to make it easier for people to comprehend the diagram by carefully preparing DFD, then it created software according to the DFD design. Storytelling is the method employed, and it pertains to qualitative ways for creating language patterns. As a design reference, it needs to make the DFD pattern subsequently. The research mimics two scenarios to reflect previous research on the same principle. According to the findings of this study, there are two significant disparities. The first scenario concerns system user activity, whereas the second concerns software performance. Therefore, it corresponds to the core notion of input-process-output; narrative scenario 1 is more consistent and easier to design in the processed results created from sentence patterns to DFD patterns. Scenario 2, on the other hand, connects many process symbols to processes, complicating the DFD design. Finally, scenario 2 is beneficial for requirements elicitation, whereas scenario 1 applies to business procedures.

Clustering Algoritma Fuzzy Ant Untuk Optimalisasi Penentuan Rute Kemacetan Tanah Abang Erlin Windia Ambarsari; Siti Khotijah
Computatio : Journal of Computer Science and Information Systems Vol 1, No 2 (2017): Computatio : Journal of Computer Science and Information Systems
Publisher : Faculty of Information Technology, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/computatio.v1i2.1015

Tanah Abang merupakan salah satu kecamatan yang terletak di Kota Administrasi JakartaPusat dengan luas wilayah 9,3 Km2. Berdasarkan administrasi pemerintahan, kecamatan TanahAbang terdiri dari 7 kelurahan, yaitu Kelurahan Gelora, Bendungan Hilir, Karet Tengsin,Kebon Melati, Petamburan, Kebon Kacang, dan Kampung Bali. Tanah Abang merupakandaerah yang sebagian besar perkantoran, pusat perbelanjaan dan pemukiman penduduksehingga banyak kendaraan yang lalu lalang sehingga terjadi kemacetan di jalan sudahterbiasa terjadi di Daerah Kecamatan Tanah Abang. Penulis melakukan riset untukmenentukan rute kemacetan di daerah tersebut untuk menganalisa penyebab terjadinyakemacetan dengan menggunakan Metode Algoritma Fuzzy Ant. Penggunaan Algoritma FuzzyAnt memungkinkan pemilihan rute semut lebih cepat mencapai konvergen karena pemilihantersebut menggunakan cluster maksimum Fuzzy C-Means dari 3 cluster keanggotaan sehinggaproses siklus Ant tidak terlalu lama. Hasil yang di dapatkan dari algoritma tersebut untukpencarian rute kemacetan adalah B-E-C-A dikarenakan terdapat parkir sembarangan,perbaikan jalan, maupun penutupan jalan.

Modifikasi Algoritma Semut untuk Optimasi Probabilitas Pemilihan Node dalam Penentuan Jalur Terpendek Erlin Windia Ambarsari
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 2, No 2 (2017)
Publisher : Universitas Indraprasta PGRI Jakarta

LPPM Unindra's Dipa Research Grantprogress report on the searching of the shortest route previously made by the researcher with the title Analysis of the Effectiveness of the Shortest Route Using Ant Algorithm Method and LeadTime Approach: Case Study of Toko Gamis Murah Jakarta in 2014 showsan imperfect route selection, especially the one which is randomly conducted, leading to the chance of output route to be selected is once in a cycle. This causes the iteration conductedtosearch the shortest route will take a longer time. The purpose of this study is to modify the algorithm for finding the shortest route by inserting the Fuzzy C-Means Algorithm into node selection probability of the ant algorithm to allow the route chosen during the cycle to continuouslyperform that iteration conducted in the shortest route searching calculation is not too long because the route value convergence is more quickly obtained. This research collects qualitative data from goods delivery route to Toko Gamis Murah Jakarta's customers, with the result showing CGFEDBA route (32.5 km) with 100% probability, DFEGCBA (34.6 km) with 93. 75% probability and FGEDCBA (37.5 km) with 93.75% probability.

Pemodelan Reward Rule Game Streamer Indonesia Tingkat Amatir dengan Orange Data Mining Erlin Windia Ambarsari
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 4, No 1 (2019)
Publisher : Universitas Indraprasta PGRI Jakarta

Bukan menjadi suatu hambatan bagi pemain Game untuk dapat bermain. Namun, mereka dapat pula mendapatkan komisi sebagai penghasilan mereka dengan cara melakukan siaran langsung saat mereka sedang bermain. Platform yang menyediakan Live Streaming Game yang tidak hanya menguntungkan pemain, melainkan juga Industri Game. Namun berdasarkan pengamatan penulis, poin yang didapatkan tidak sesuai dengan aturan komisi (Reward Rule), padahal pencapaian target sudah terpenuhi. Hal ini membuat keresahan para pemain yaitu Game Streamer yang menjadikan Game sebagai penghasilan utama. Oleh karena itu, perlu dilakukan pemetaan data Live Streaming, dengan cara membuat suatu pemodelan untuk mengklasifikasi data yang didapatkan dari sebuah agensi Cube TV berdasarkan analisis deskriptif. Pemodelan dilakukan dengan mengunakan metode Decision Tree dari Orange Data Mining. Hasil yang ditemukan dari studi kasus ini adalah terdapat poin Rate yang menjadi penentuan komisi belum ditemukan korelasi variabelnya. Sehingga perlu ada kriteria yang spesifik untuk mendapatkan bobot-bobot ideal yang harus dicapai oleh para pemain.

Automation Testing Tool dalam Pengujian Aplikasi Belajar Tajwid pada Platform Android Herlinda Herlinda; Dona Katarina; Erlin Windia Ambarsari, M.Kom.
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 4, No 2 (2019)
Publisher : Universitas Indraprasta PGRI Jakarta

Tidak seperti pada Black Box Testing yang biasanya dilakukan secara manual, maka di dalam penelitian ini menggunakan automation testing tool, yaitu Katalon. Katalon digunakan untuk pengujian dengan menggunakan test case. Test case ini dilakukan dengan cara melakukan record dan playback, berarti perlu merekam setiap respon dalam satu event pada aplikasi yang digunakan. Tujuannya adalah untuk menganalisis efektivitas aplikasi yang sudah dibangun, yang kemudian apakah Automation Testing Tool Katalon berdaya guna dibandingkan pengujian manual. Oleh karena itu, akan dapat diketahui kekurangan dari penggunaan Katalon terutama pada aplikasi Android. Langkah-langkah yang dilakukan dalam pengujian aplikasi tajwid adalah Merekam test case dengan perangkat mobile, mengkonfigurasi dan merekam langkah pengujian mobile, menjalankan hasil test case, dan melihat log eksekusi. Dari penelitian didapatkan terjadi tiga kesalahan didalam aplikasi, diantaranya ketidaksesuai ukuran layar dalam mode landscape, terdapatnya kegagalan eksekusi dikarenakan Katalon tidak dapat mendeteksi objek yang tidak masuk dalam tangkap layar Device View, dan objek suara yang tidak berhenti jika sudah pindah halaman layar.

Membangun Pythagoras Sebagai Visualisasi Random Forest Untuk Pemodelan Pohon Keputusan Erlin Windia Ambarsari; Herlinda Herlinda
Faktor Exacta Vol 13, No 3 (2020)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v13i3.6513

Students observed Pythagoras for using a plane Geometry and 3D Geometry. However, Pythagoras can also be built for decision trees. Our research regarding Instagram Usage Habit with construct Pythagoras for a single decision tree. The study's results obtained are ambiguous attribute values. Therefore, it is continued with research to build Pythagoras for Random Forest. The purpose of the study is to facilitate the tracking of ambiguous data contained in the attributes. The results obtained that the relationship between characteristics of the target class, thus resulting in misclassification. This error caused invalid data; for example, there are three times the separation of data on the same attribute for age's target for a group of 20. However, although there are misclassifications caused by invalid data, based on the Pythagorean construction for Random Forest, the data is more easily traced to errors, which cannot be done by a single decision tree.

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

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.

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

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

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

Co-Authors Abdul Karim Ade Irma Agustina Lubis Agi Candra Bramantia Agus Perdana Windarto Aulia Paramita Baehaqi 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 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

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