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All Journal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Building of Informatics, Technology and Science Jurnal Informatika dan Sistem Informasi Jurnal Abdimas Bina Bangsa Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Sumihar, Yo’el Pieter
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Implementasi Library Textblob dan Metode Support Vector Machine Pada Analisis Sentimen Pelanggan Terhadap Jasa Transportasi Online Laia, Yardiana; Berutu, Sunneng Sandino; Sumihar, Yo’el Pieter; Budiati, Haeni
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.v6i1.5090

Abstract

Online transportation services have become an inseparable part of human life today. This research aims to develop an effective sentiment analysis method to measure public opinion about the quality of online transportation services, which has a significant impact on company reputation and public acceptance of these services. In this research, we propose the use of TextBlob library to perform sentiment analysis of public opinion on online transportation services. This library allows to measure the positive, negative and neutral polarity and subjectivity of opinion text collected from Gojek, Maxim and Grab application reviews through Google Play Store. Sentiment analysis steps are carried out starting from data preparation, data pre-processing, data labeling using the Text Blob library. Furthermore, building a sentiment classification model based on the Support Vector Machine (SVM) algorithm through training and testing stages. Model testing results are evaluated with confusion matrix. The results of the analysis with textblob showed that online transportation received the highest positive sentiment of 40.1%, followed by neutral sentiment of 26.7% and negative sentiment of 25.2%. Meanwhile, the model performance measurement results show that the precision obtained the highest value in positive sentiment of 0.93. The recall parameter reaches the highest value in negative sentiment of 0.95 and f1-score in neutral and positive sentiment of 0.92. Thus, this research not only contributes to the development of sentiment analysis classification, but also has a significant practical impact in improving online transportation services and providing useful information to the public, thus encouraging innovation and continuous improvement in online transportation services.
Analisis Performa Metode HTB - Traffic Shaping Layer 7 Pada Manajemen Bandwidth Jatmika; Putri, Farelia Devi Julia; Sumihar, Yo’el Pieter; Budiati, Haeni
Jurnal Informatika dan Sistem Informasi Vol. 9 No. 2 (2023): Jurnal Informatika dan Sistem Informasi
Publisher : Universitas Ciputra Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37715/juisi.v9i2.4214

Abstract

Internet sangat dibutuhkan untuk mendapatkan informasi. Internet merupakan komponen penting dalam bidang pendidikan, perkantoran, bisnis, perusahaan, dan lain sebagainya. Perkembangan Internet semakin pesat, tetapi jika tidak dimanajemen dengan baik bandwidth-nya akan mempengaruhi kinerja jaringan. Pada jaringan Internet saat ini sering terjadi masalah, dimana pada layanan tertentu bisa mengkonsumsi bandwidth dalam jumlah besar mengakibatkan layanan lain tidak bisa mendapat bandwidth sesuai kebutuhan. Penelitian ini melakukan pembagian bandwidth ke dalam beberapa kelas, melakukan pembatasan traffic pada tiap level, membuat alokasi aktivitas upload dan download. Manajemen bandwidth dilakukan dengan menggunakan metode HTB (Hierarchical Token Bucket). Pembagian bandwidth dilakukan secara hirarki yang dibagi ke dalam beberapa kelas. Performa jaringan lebih terjamin jika menambahkan monitoring traffic dengan menggunakan metode Traffic Shaping. Berdasarkan hasil penelitian, didapatkan performa jaringan menggunakan standart TIPHON untuk pengukuran parameter performa jaringan menggunakan metode HTB (Hierarchical Token Bucket) dan Traffic Shaping memiliki rata-rata 3,5 dan termasuk dalam kategori “Baik”, sedangkan pengujian tanpa menggunakan metode HTB (Hierarchical Token Bucket) dan Traffic Shaping memiliki rata-rata 2,75 dan termasuk kategori “Kurang Baik”.
Pendeteksian Level Kualitas Modifikasi Citra Manusia Dalam Eksperimen Metode Error Level Analysis (ELA) Rantiasi, R; Himamunanto, AR.; Sumihar, Yo’el Pieter
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 3 (2024): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i3.446

Abstract

Research on image processing methods has become increasingly diverse in modifying images with more attractive visuals. The results of visual modification of this image are often used to convey certain information that will often be found in various media. The method used to identify images that have been modified is the Error Level Analysis (ELA) method, which detects the quality level of a visual image compared to other images. So the method approach proposed in this research involves computing the visual components of images with shape, color and texture features. The method used in shape computing is Prewitt edge detection, while for color features using HSV color transformation and Grayscalling. The method used to identify texture is using the Gray Level Co-occurrence Matrix (GLCM). The urgency of the method proposed in this research is very important to keep up with the various image processing methods that are developing increasingly rapidly. The results of the research are the Error Level Analysis (ELA) method with an analysis approach to shape components using the edge detection method, analysis of color components using the HSV and Grayscalling color transformation methods, and analysis of texture components using the Gray-Level Co-Occurrence Matrix (GLCM) method. ) can be used to detect image authenticity based on the statistical output of processing data. The Error Level Analysis (ELA) method with identification of shape, color and texture shows the differences between the original image and the manipulated image, so that the method used in the research can be a recommendation in completing the system. It is hoped that the approach method in this research will become an instrument for identifying images that have been modified to avoid misuse of visual image information.
Implementasi dan Analisis Performa Pembelajaran Pengenalan Hewan Pada Anak-Anak Usia 5 Tahun Berbasis Augmented Reality Chrisdyanto, Daniel Nourman; Himamunanto, Agustinus Rudatyo; Sumihar, Yo’el Pieter
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 3 (2024): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i3.424

Abstract

Introducing animals to early childhood is a crucial aspect of their initial educational development. At the age of 5, children are in a significant phase of developing language, observational skills, and conceptual understanding. In the context of learning, Augmented Reality (AR) can provide a more interactive and immersive learning experience compared to traditional methods. This application was created using Vuforia and Unity Engine, with the C# programming language. The application can display 3D animal objects, play animal sounds, and provide information about the animals in Indonesian. The animals featured in this application are the Brazilian turtle and the dog. Based on the data, images included in the Vuforia database showed a detection success rate of 7 out of 9 images for the Brazilian turtle. Meanwhile, for the dog, 10 out of 12 images included in the Vuforia database were successfully detected. These figures are reflected by the number of stars in the Vuforia database.
PERANCANGAN APLIKASI DETEKSI CORAK KAIN TRADISIONAL BERBASIS ANDROID Gulo, Eniria; Budiati, Haeni; Sumihar, Yo’el Pieter
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 4 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i4.5566

Abstract

Perkembangan teknologi era digital telah memberikan peluang baru untuk pelestarian warisan budaya, khususnya dalam hal dokumentasi dan promosi tekstil tradisional. Salah satu tantangan utama adalah kehilangan informasi mengenai nilai dan makna di balik pola tekstil tradisional hal ini disebabkan karena kurangnya alat yang memadai untuk mengidentifikasi dan menginterprestasikan motif tersebut secara akurat. Penelitian ini bertujuan untuk mengembangkan sebuah aplikasi berbasis android yang dapat mengenali pola tekstil tradisional dengan menggunakan teknologi pemrosesan gambar dan kecerdasan buatan. Metode yang digunakan meliputi pungumpulan data gambar tekstil, pelatihan model kecerdasan buatan menggunakan Teknik deep learning, dan pengembangan antar muka pengguna. dengan metode pengolahann data Convolutional Neural Network (CNN) yang efektif dalam pengenalan pola visual, dan pengembangan antarmuka pengguna. Hasil dari penelitian ini diharapkan dapat menjawab bagaimana teknologi modern dapat dimanfaatkan untuk mendukung pelestarian, pemahaman, dan promosi warisan budaya tekstil, serta meningkatkan kesadaran masyarakat luas terhadap kekayaan budaya yang terwakili melalui motif tekstil tradisional.
RANCANG BANGUN SISTEM INFORMASI PEMAKAMAN DAN KREMASI DI TPU MADUREJO PRAMBANAN Budiati, Haeni; Sumihar, Yo’el Pieter; Berutu, Sunneng Sandino
Jurnal Abdimas Bina Bangsa Vol. 6 No. 1 (2025): Jurnal Abdimas Bina Bangsa
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jabb.v6i1.1595

Abstract

In the context of expanding housing developments, the issue of burial places has emerged as a contentious subject, giving rise to conflicts with local residents.On average, 70-80% of cemetery land has been occupied, a situation that has given rise to concerns among residents.In an effort to address this issue, the Sleman Regency Government has constructed the Public Cemetery, a facility that boasts an organised and planned architectural design, a dynamic layout, and a natural atmosphere characterised by beautiful hills. Presently, registration services, grave plot booking, cremation, and data collection of corpses are still conducted manually, a practice that is set to be streamlined by the implementation of a public cemetery information system. This web-based system, once implemented, is poised to bring about significant improvements in terms of efficiency, transparency, and accessibility in the management of funeral facilities.
Co-Authors Agustinus Rudatyo Himamunanto Chrisdyanto, Daniel Nourman Gulo, Eniria Haeni Budiati Himamunanto, AR. Jatmika Laia, Yardiana Putri, Farelia Devi Julia Rantiasi, R Sunneng Sandino Berutu