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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) JOIV : International Journal on Informatics Visualization International Journal of Artificial Intelligence Research JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Building of Informatics, Technology and Science Jurnal Mantik Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Informatika dan Sistem Informasi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Pendidikan dan Teknologi Indonesia Journal of Information Technology (JIfoTech) Jurnal Abdimas Bina Bangsa COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Informatika Teknologi dan Sains (Jinteks) Malcom: Indonesian Journal of Machine Learning and Computer Science DEVOTE: Jurnal Pengabdian Masyarakat Global Jurnal INFOTEL SmartComp SAINTEK Infact: Jurnal Sains dan Komputer Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) UPGRADE: Jurnal Pendidikan Teknologi Informasi
Haeni Budiati
Universitas Kristen Immanuel
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Implementation of K-Means Clustering Method for Network Traffic Anomaly Detection Haeni Budiati; Antonius Bima Murti Wijaya; Barita Suci Vernando Zebua; Jatmika; Yo’el Pieter Sumihar
Jurnal Mantik Vol. 6 No. 3 (2022): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

Anomalies may degrade network performance for specific network traffic. Because of its nature, it causes abnormal network traffic. Using the K-means clustering method, this study addresses the formulation of the problem of detecting network bandwidth usage anomalies. The objective of this study is to identify potential network traffic anomalies. This study uses the K-Means Method to predict the value of the network traffic anomalies that will appear. K-Means operates by repeatedly iterating based on the initial cluster entered, until the same cluster results are discovered. The results of the study indicate that predicting the occurrence of anomalies with K-Means will help suppress activities that impede network traffic.
Deteksi Dominasi Warna Potongan Citra Sebagai Mesin Puzzle Digital Agustinus Rudatyo Himamunanto; Haeni Budiati
Journal of Information Technology Vol 2 No 2 (2022): Journal of information Technology
Publisher : Institut Shanti Bhuana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46229/jifotech.v2i2.518

Abstract

Puzzle is a game of rearranging pieces of picture objects, which can train creativity, order, and concentration levels. Problems in puzzle games will be more complicated when the size of the pieces gets smaller so that the number of pieces increases. The challenge is how to always make new puzzle arrangements and quickly reassemble recovery pieces. The focus of this research is to arrange puzzle pieces randomly and try to reposition the puzzle using the proposed method, namely DCD (Dominant Color Detection). The DCD method works by using the color histogram method to track the image based on the dominant color information. The Eucledian Distance method is then used to measure the level of image similarity . The similarity indication of the puzzle image is used to reposition the puzzle. Based on the test results, it is known that the accuracy of the repositioning results on the sample logo image, totaling 30 test images, is 100% successful in getting the whole image back according to the logo input image. This method has the opportunity to be used as an alternative to access security and also as a simple engine model for image search based on image fragments.
A Conversion of Signal to Image Method for Two-Dimension Convolutional Neural Networks Implementation in Power Quality Disturbances Identification Sunneng Sandino Berutu; Yeong-Chin Chen; Heri Wijayanto; Haeni Budiati
JOIV : International Journal on Informatics Visualization Vol 6, No 4 (2022)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.4.1529

Abstract

The power quality is identified and monitored to prevent the worst effects arise on the electrical devices. These effects can be device failure, performance degradation, and replacement of some device parts. The deep convolutional neural networks (DCNNs) method can extract the complexity of image features. This method is adopted for the power quality disruption identification of the model. However, the power quality signal data is a time series. Therefore, this paper proposes an approach for the conversion of a power quality disturbance signal to an image. This research is conducted in several stages for constructing the approach proposed. Firstly, the size of a matrix is determined based on the sampling frequency values and cycle number of the signal. Secondly, a zero-cross algorithm is adopted to specify the number of signal sample points inserted into rows of the matrix. The matrix is then converted into a grayscale image. Furthermore, the resulting images are fed to the two-dimension (2D) CNNs model for the PQDs feature learning process. When the classification model is fit, then the model is tested for power quality data prediction. Finally, the model performance is evaluated by employing the confusion matrix method. The model testing result exhibits that the parameter values such as accuracy, recall, precision, and f1-score achieve at 99.81%, 98.95%, 98.84, and 98.87 %, respectively. In addition, the proposed method's performance is superior to the previous methods. 
Metode Subtraksi Citra Sebagai Upaya Deteksi Gerakan Tangan Haeni Budiati; Agustinus Rudatyo Himamunanto
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/SAINTEK0101.0613

Abstract

Segmentation is one of the important operations in the object recognition process. One of the well-known segmentation methods is image subtraction. This image subtraction process is carried out to separate the foreground object from the background object. Most studies use this method to segment static images. In this study, the performance of the subtraction method will be observed based on the dynamic image input of hand movements. The application of the subtraction method is used for segmentation operations based on different information on different frames with the aim of obtaining information on the hand area. The focus of this research is to compare the results of processing with the subtraction method on different types of inputs based on the nature of their constituent signals, namely analog video input (webcam) and digital video input (stored video). The success of processing on both video inputs is determined from the first segmentation processing that finds the hand area. Two test cases (various lighting levels and outdoor background) were deliberately chosen because they are closely related to the potential weaknesses of the image subtraction method. Based on the test results, it is known that the implementation of the subtraction method for analog video input (webcam) and digital video input on various tests of light and background quality which is quite complex, shows success in finding areas of moving hands. Keywords: Subtraction, Segmentation, Hand Movements
IMPLEMENTASI SOLAR CHARGING STATION DAN DIGITALISASI SISTEM LELANG HASIL PANEN UNTUK MENINGKATKAN JUMLAH PENGUNJUNG DI EMBUNG SENDANGTIRTO Haeni Budiati; Lukas Agung Heriputranto; Liefson Jacobus
Jurnal Abdimas Bina Bangsa Vol. 4 No. 2 (2023): Jurnal Abdimas Bina Bangsa
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jabb.v4i2.753

Abstract

Sendangtirto Village is located in Kapanewon Berbah, Sleman D.I. Regency. Yogyakarta has an artificial reservoir/lake. The main objective of building a reservoir is to provide a conservation area and irrigation of rice fields. The existence of harvest sales activities through an auction system and the construction of joglos and gazebos around the embung, make the Sendangtirto embung worthy of becoming a tourist destination. Currently, the existence of the embung is not yet known to the wider public, besides that the public facilities available are still minimal. The PKM team took the title "Implementation of a Solar Charging Station and Digitalization of the Harvest Auction System to Increase the Number of Visitors at Embung Sendangtirto" and hoped to be able to overcome this problem. The Solar Charging Station was chosen because it uses renewable energy sources, is environmentally friendly and economical. The design is simple and easy to implement and operate. Meanwhile, to overcome the problem of the number of visitors, training and assistance will be provided in creating content on social media as a means of promotion. In addition, there is a need to create a digital harvest auction recording system. Through this PkM activity, it is hoped that it can provide education on the use of renewable energy for the community, increase horticulture sales from farmers and increase the number of visitors at the Sendangtirto reservoir.
PENERAPAN METODE PROFILE MATCHING DALAM PENENTUAN PENERIMA BEASISWA Peter1; Haeni Budiati
JURNAL SAINS DAN KOMPUTER Vol. 1 No. II (2019): Jurnal Infact Edisi Oktober 2019
Publisher : Universitas Kristen Immanuel

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Abstract

Sistem Pendukung Keputusan pada dasarnya adalah sistem komputer yang bertujuanuntuk membantu para pengambil keputusan untuk mengambil keputusan yang sesuai, yangdapat memperhitungkan segala kriteria yang mendukung pengambilan keputusan gunamembantu, mempercepat, dan mempermudah proses pengambilan keputusan. Salah satu metode yang digunakan untuk menentukan calon penerima beasiswa adalahprofile matching karena mampu menyeleksi alternative terbaik dari sejumlah alternatif, dalamhal ini alternatif yang dimaksudkan yaitu yang berhak menerima beasiswa berdasarkankriteria-kriteria yang ditentukan. Penelitian dilakukan dengan menentukan aspek dan sub aspekberserta mencari nilai bobot untuk setiap sub aspek, mencari GAP antara profil dengankeadaan data dari para siswa. Dengan menggunakan metode ini ditentukan presentasi kedua unsur aspek dandijumlahkan kemudian dilakukan proses perankingan yang akan menentukan alternatif yangoptimal, yaitu siswa dengan nilai tertinggi. Ada dua bentuk penerima beasiswa yang digunakanpada penelitian ini, yaitu berdasarkan ekonomi keluarga dan berdasarkan akademik siswa.Hasil akhir dari penelitian ini berupa sebuah sistem pendukung keputusan menentukancalon penerima beasiswa yang mampu memberikan solusi berupa hasil rangking dari seleksiMetode Profile Matching berdasarkan kriteria yang telah di tentukan.
Penerapan Algoritma Minimax Sebagai Kecerdasan Buatan Pada Permainan Tic Tac Toe Timothy Ageng Pracaya; Antonius Bima Murti Wijaya; Haeni Budiati
JURNAL SAINS DAN KOMPUTER Vol. 1 No. 2 (2017): Jurnal Infact Edisi Agustus 2017
Publisher : Universitas Kristen Immanuel

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Abstract

Permainan merupakan sesuatu yang tidak bisa dipisahkan dari kehidupan manusia, karena itu manusia disebut juga sebagai homo ludens atau makhluk yang suka bermain (Tedjasaputra, 2001). Salah satu sarana permainan yang dapat digunakan yaitu menggunakan teknologi komputer. Pada beberapa permainan yang berbasis komputer memiliki kelebihan yaitu pemain (user komputer) tidak perlu mencari orang untuk menjadi lawannya karena pada permainan tersebut terdapat kecerdasan buatan yang mengendalikannya. Kecerdasan buatan adalah suatu ilmu yang mempelajari cara membuat komputer melakukan sesuatu seperti yang dilakukan oleh manusia. (Kusrini, 2006). Salah satu caranya adalah dengan menggunakan algoritma minimax yang bekerja seperti pikiran manusia. Ia akan mengambil langkah yang terbaik baginya serta memberikan langkah terburuk bagi lawannya. Algoritma minimax bisa diterapkan pada permainan, salah satunya adalah tic tac toe. Pada permainan ini, pemain akan secara bergantian mengisi sel papan. Pemain dianggap memenangkan pertandingan jika berhasil mengisi 3 sel pada papan secara horisontal, vertikal, maupun diagonal. Jika papan terisi semua dan kriteria menang tidak terpenuhi, maka permainan berakhir dengan imbang. Berdasarkan hasil pengujian yang dilakukan dengan menggunakan algoritma minimax pada kecerdasan buatan yang diterapkan di permainan tic tac toe sebanyak 60 kali, hasil yang didapatkan adalah permainan berakhir imbang sebanyak 43 kali, dan kecerdasan buatan menang sebanyak 17 kali.
SIMULASI RUTE TERPENDEK LOKASI PARIWISATA DI NIAS DENGAN METODE BREADTH FIRST SEARCH DAN TABU SEARCH Delima Zai; Haeni Budiati; Sunneng Sandino Berutu
JURNAL SAINS DAN KOMPUTER Vol. 1 No. 2 (2016): Jurnal Infact Edisi November 2016
Publisher : Universitas Kristen Immanuel

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Abstract

Kemampuan metode Breadth First Search melakukan pencarian secara melebar dengan mengunjungi dari suatu simpul atau titik kemudian mengunjungi semua titik-titik yang bertetangga untuk menemukan sebuah solusi sedangkan Tabu Search adalah suatu algoritma yang menuntun setiap tahapannya agar dapat menghasilkan fungsi tujuan yang paling optimum, Algoritma Breadth First Search dapat digabungkan dengan algoritma Tabu Search untuk mendapatkan jalur terpendek yang optimal berdasarkan jarak, dengan cara ketika Breadth First Search menemukan solusi mak a tidak langsung berhenti, tetapi terus melakukan pencarian hingga dapat menemukan jalur terpendek dengan menggunakan prinsip dari Tabu Search. Penelitian ini membuat sebuah aplikasi pencarian rute terpendek lokasi pariwisata di Pulau Nias Berbasis web dengan metode Breadth Frist Search dan Tabu Search. Algoritma Breadth First Searchmerupakan salah satu algoritma untuk menentukan pencarian jalur terpendek, algoritma ini melakukan pencarian secara melebar dengan mengunjung dari suatu simpul atau titik kemudian mengujungi semua titik-titik yang bertetangga untuk menemukan solusi. Setelah melakukan modifkasi terhadap Algoritma Breadth First Search dan Tabu Search maka kedua metode dapat diimplementasikan pada simulasi rute terpendek lokasi pariwisata di pulau Nias untuk mencari jalur terpendek tempat wisata, tempat SPBU, tempat restoran, hotel, dan kantor pemerintahan.
DESAIN DAN IMPLEMENTASI ANIMASI PEMBELAJARAN ALIRAN DARAH PADA TUBUH MANUSIA DENGAN METODE MOTION BY PATH Haeni Budiati; Hermas Rizzal
JURNAL SAINS DAN KOMPUTER Vol. 6 No. 2 (2021): Jurnal Sains Dan Teknologi Informasi
Publisher : Universitas Kristen Immanuel

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Abstract

Animasi aliran peredaran darah pada tubuh manusia, dengan menggunakan metode motion by path. adalah bagaimana membuat animasi pembelajaran peredaran darah pada manusia menggunakan metode motion path. Dengan studi kasus sisa kelas VII dan XI SMA IPA. Adapun tujuan penelitian untuk menerapkan metode motion by path pada animasi supaya bisa menjelaskan peredaran darah pada tubuh manusia, Untuk mengetahui bagimana cara peredaran darah pada tubuh manusia, serta mempermudah kegiatan belajar dalam menyampaikan sistem peredaran darah pada manusia. Hasil penelitian menunjukan penerapan metode motion path untuk animasi peredaran darah pada tubuh manusia, dilakukan dengan membuat lintasan pada arteri yang menunjukan bagaimana pergerakan objek (darah), dari pergerakan awal, objek dapat bergerak pada titik terakhir. , Video animasi ini menambah pengetahuan dan memotivasi dalam belajar mengajar terlihat pada jumlah persentase yang mencapai 78,5%
Data preprocessing approach for machine learning-based sentiment classification Sunneng Sandino Berutu; Haeni Budiati; Jatmika Jatmika; Fornieli Gulo
JURNAL INFOTEL Vol 15 No 4 (2023): November 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v15i4.1030

Abstract

Public sentiment regarding a particular issue, product, activity, or organization can be measured and monitored with an application based on artificial intelligence. The data come from comments circulating on social media. However, the rules for writing comments on social media have yet to be standardized, so non-standard words often appear in these comments. Non-standard words affect the determination of sentiment into positive, negative, and neutral categories. Therefore, this study proposes a data preprocessing approach by inserting the Rabin-Karp algorithm to improve non-standard words. This research consists of several stages, namely crawling data, data preprocessing, feature extraction, model development (based on Naïve Bayes (NB), Support Vector Machine (SVM), and Decision Tree (DT) methods), and analysis of the results. The experimental results showed that the proposed approach influences the determination of the sentiment category composition. Then, model testing results showed that all models obtain the highest value in the Positive category for the precision parameter with a value 1. All models in the Neutral category obtain the highest value for the recall parameter, almost reaching 1. All models in the Neutral category achieve the highest value of the f1-score parameter, with an average value of 0.95. In general, the results of the performance analysis of the classification model showed that the NB and SVM-based models have better performance than the DT method.
Co-Authors Agustinus Rudatyo Himamunanto Antonius Bima Murti Wijaya Apriani, Apriani Barita Suci Vernando Zebua Bobby Girsang Bolo, Naomi Tena Budet, Vincensa Woytimena Delima Zai Emerita Setyowati Febe Maedjaja Febe Maedjaja Fornieli Gulo Gallu, Apliana Gogor Christmass Setyawan Gulo, Eniria Heri Wijayanto Hermas Rizzal Himamunanto, A. R. Himamunanto, AR Himamunanto, AR. Ina, Osmanila Tamo Jatmika Jatmika Jatmika Jatmika Jatmika Jatmika Juli Supriyanto Gea Kristian Juri Damai Lase Laia, Yardiana Lase, Anan Sosmita Lase, Kristian J.D. Liefson Jacobus, Liefson Lukas Agung Heriputranto Mendrofa, Milka Justine Nauli, Sumitta Nehe, Pius Hermanto Niasiska, Niasiska Olam, Enos Nikodemus P.Hurit, Lud Gerdus Peter1 Putri, Farelia Devi Julia Rudatyo Himamunanto, Agustinus Setiawan Matangkin, Jimmi Setyawan, Gogor C Sumihar, Yo'el Pieter Sumihar, Yo’el Pieter Sunneng Sandino Berutu Supriadi, Joseph Surjawirawan Dwiputranto Swasono, Natan Enggal Tasane, Elshaddai L Timothy Ageng Pracaya Veren, Yolanda Wanda, Melifan Yeong-Chin Chen Yo’el Pieter Sumihar Zalukhu, Talenta Teholi Zendrato, Agus Dirgahayu Ziliwu, Johni Revormasi