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All Journal JOSINFO : Jurnal Online Sistem Informasi Jurnal Eksplora Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING Compiler CSRID (Computer Science Research and Its Development Journal) Jurnal SUTASOMA
I Made Budi Adnyana, I Made Budi
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice

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RANCANG BANGUN SISTEM PENENTUAN JURUSAN DENGAN PENERAPAN ALGORITMA EUCLIDEAN DISTANCE PADA SMA NEGERI 2 KUTA Rahayuni, Ni Kadek Dwi; Hanief, Shofwan; Adnyana, I Made Budi
JOSINFO : Jurnal Online Sistem Informasi Vol 1, No 1 (2015)
Publisher : JOSINFO : Jurnal Online Sistem Informasi

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Abstract

Jurusan dalam tingkat pendidikan adalah salah satu hal yang penting untuk menentukan arah seorang siswa akan kemana nantinya melangkah. Dengan penentuan jurusan yang tepat akan membuat minat dan bakat terus berkembang. Untuk itu dirasa perlu dirancang sebuah aplikasi untuk mengelompokkan jurusan setiap siswa dengan melihat nilai-nilai yang dimiliki. Pada pembuatan aplikasi tersebut, konsep perencanaan dan perancangannya melalui pengumpulan data, Data Flow Diagram (DFD), Entity Relationship Diagram (ERD), Basis data dan selanjutnya mengimplementasikannya. Metode yang digunakan adalah Euclidean Distance untuk mencari dan menghitung proses klasifikasinya. Hasil dari aplikasi ini akan sangat membantu untuk menyimpan data siswa secara terkomputerisasi dan menentukan jurusan setiap siswa dengan cepat dengan melihat nilai-nilai yang dimiliki seorang siswa.Kata Kunci : Jurusan, Klasifikasi, Euclidean Distance
SISTEM INFORMASI JASA PENJAHIT BERBASIS WEB DAN SMS GATEWAY PADA ATAAHAIFA TAILOR Rustamaji, Abdullah; Rinartha, Komang; Adnyana, I Made Budi
JOSINFO : Jurnal Online Sistem Informasi Vol 2, No 1 (2015)
Publisher : JOSINFO : Jurnal Online Sistem Informasi

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Abstract

SMS Gateway adalah sebuah sistem yang mamanfaatkan layanan SMS yang dapat dikembangkan dalam berbagai bidang dan dapat menggunakan bahasa pemrograman PHP. Pada AtaaHaifa Tailor para pelanggannya sering mengeluh sulitnya mengecek status jahitan mereka, mereka harus melakukan panggilan telephone dan terkadang harus datang langsung ke tempat AtaaHaifa Tailor. Dari masalah yang dikeluhkan oleh para pelanggan maka AtaaHaifa Tailor membangun sebuah system informasi jasa penjahit berbasis Web dan SMS Gateway dengan menggunakan bahasa pemrograman PHP dan Gammu sebagai service untuk SMS. Perancangan sistem menggunakan pemodelan berorientasi terstruktur yang dibantu dengan Data Flow Diagram ( DFD ) model Gene Serson dan Entity Reliationship Diagram ( ERD ) model Peter Chen. Dengan menggunakan PHP sebagai bahasa pemrograman, MySql sebagai database penyimpanan dan Gammu sebagai service penghubung ke layanan SMS
IMPLEMENTASI SISTEM PENJADWALAN UJIAN AKHIR SEMESTER MENGGUNAKAN ALGORITMA GENETIKA (STUDI KASUS: STIKOM BALI) Adnyana, I Made Budi; Ari Jayanti, Ni Ketut Dewi
CSRID (Computer Science Research and Its Development Journal) Vol 6, No 1 (2014): CSRID Februari 2014
Publisher : Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (271.452 KB) | DOI: 10.22303/csrid.6.1.2014.11-20

Abstract

ABSTRAK Penjadwalan UAS (Ujian Akhir Semester) yang dilakukan di STIKOM Bali memiliki berbagai tantangan, seperti jumlah paralel kelas perkuliahan yang besar, kebijakan-kebijakan akademik, waktu dan ruangan yang terbatas, dan sebagainya. Konsep Algoritma Genetika dapat diterapkan pada permasalahan penjadwalan ini. Algoritma ini diinspirasi dari proses evolusi alamiah, dimana masing-masing individu dapat melakukan proses-proses evolusi seperti kawin silang, seleksi, dan mutasi. Pengembangan sistem ini dimulai dengan pendefinisian aturan penjadwalan UAS di STIKOM Bali, representasi kromosom, perancangan fitness function dan stopping criteria, selanjutnya pengkodean program menggunakan bahasa pemrograman C#. Evaluasi terhadap sistem penjadwalan yang dikembangkan ini dilakukan dengan pengukuran terhadap keakuratan hasil penjadwalan, waktu komputasi, dan evaluasi fitness function. Sistem Penjadwalan UAS dengan mengimplementasikan Algoritma Genetika ini dapat menghasilkan jadwal UAS secara otomatis dan lebih optimal.
Studi Pembanding Edge Detection Metode Sobel dan Prewitt pada Citra Rontgen Menggunakan Software Matlab Seneng, I Kadek; Adnyana, I Made Budi; Putra, I Made Agus Wirahadi; Suwirmayanti, Ni Luh Gede Pivin
Jurnal Eksplora Informatika Vol 13 No 2 (2024): Jurnal Eksplora Informatika
Publisher : Institut Teknologi dan Bisnis STIKOM Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30864/eksplora.v13i2.1033

Abstract

Edge detection merupakan sebuah proses mendeteksi garis tepi yang membatasi dua wilayah, deteksi tepi banyak diterapkan pada bidang medis yang bertujuan untuk memudahkan analisis. Menentukan metode deteksi tepi citra tidak bisa hanya dilihat secara langsung, maka perlu adanya analisis penentuan metode. Pada penelitian ini menggunakan citra rontgen tulang rusuk, dan citra rontgen jari-jari tangan, pada penelitian ini dilakukan tahap perbaikan citra noise reduction, kemudian konversi citra menjadi grayscale, kemudian deteksi tepi metode Sobel dan Prewitt, kemudian proses binerisasi dan perbandingan menggunakan tiga parameter perbandingan MSE, PSNR dan nnz. Semakin besar nilai MSE menunjukkan perbedaan besar antara citra awal dengan citra hasil, semakin besar nilai PSNR menunjukkan semakin besar kualitas dari gambar yang dihasilkan. Fungsi nnz (number of nonzero entries) semakin banyak piksel warna putih maka semakin banyak juga tepi yang diperoleh. Berdasarkan hasil penelitian yang telah dilakukan, maka diperoleh kesimpulan, pada citra rontgen tulang rusuk metode sobel menghasil nilai lebih baik berdasarkan hasil yang diperoleh pada masing-masing parameter penguji MSE= 4.610,7, PSNR= 11.493,2 dB, nnz= 10.752. Pada citra rontgen jari-jari tangan metode prewitt menghasilkan nilai lebih baik berdasarkan hasil yang diproleh MSE= 1.188,8, PSNR= 17.379,9 dB, nnz= 6.948.
Clustering Balinese Language Documents using the Balinese Stemmer Method and Mini Batch K-Means with K-Means++ Subali, Made Agus Putra; Sugiartha, I Gusti Rai Agung; Budiarta, Komang; Adnyana, I Made Budi
Journal of Applied Informatics and Computing Vol. 7 No. 2 (2023): December 2023
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v7i2.6476

Abstract

Clustering aims to categorize data into n groups, where data within each group exhibits maximum similarity, while the similarity between groups is minimized. Among various clustering methods, k-means is widely employed due to its simplicity and ability to yield optimal clustering results. However, the k-means method is susceptible to slow processing in high-dimensional datasets and the clustering outcomes are sensitive to the initial selection of cluster center values. In addressing these limitations, this study employs the k-means mini-batch method to enhance processing speed for high-dimensional data and utilizes the k-means++ method to optimize the selection of initial cluster center values. The dataset for this research comprises 300 news articles in Balinese sourced from the https://balitv.tv/ website. Prior to the clustering process, a stemming procedure is applied using the Balinese stemmer method to enhance recall. The obtained results reveal that a majority of the 300 data instances exhibit a high degree of similarity, as indicated by the clustering results. If the number of clusters (n) exceeds two, the data fails to be distinctly separated due to the high structural similarity among the data instances. This can be attributed to the relatively small number of words or attributes produced. In future research, feature reduction will be implemented, and a clustering method capable of addressing data overlap will be explored.
Improving Helpdesk Chatbot Performance with Term Frequency-Inverse Document Frequency (TF-IDF) and Cosine Similarity Models Setiawan, Gede Herdian; Adnyana, I Made Budi
Journal of Applied Informatics and Computing Vol. 7 No. 2 (2023): December 2023
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v7i2.6527

Abstract

Helpdesk chatbots are growing in popularity due to their ability to provide help and answers to user questions quickly and effectively. Chatbot development poses several challenges, including enhancing accuracy in understanding user queries and providing relevant responses while improving problem-solving efficiency. In this research, we aim to enhance the accuracy and efficiency of the Helpdesk Chatbot by implementing the Term Frequency-Inverse Document Frequency (TF-IDF) model and the Cosine Similarity algorithm. The TF-IDF model is a method used to measure the frequency of words in a document and their occurrence in the entire document collection, while the Cosine Similarity algorithm is used to measure the similarity between two documents. After implementing and testing TF-IDF and Cosine Similarity models in the Helpdesk Chatbot, we achieved a 75% question recognition rate. To increase accuracy and precision, it is necessary to increase the knowledge dataset and improve pre-processing, especially in recognition and correct inaccurate spelling
Rancang Bangun Ruang Baca Digital Berbasis Web Pada Perpustakaan Desa Mengwi Putra, I Putu Gede Andika; Adnyana, I Made Budi; Putri, Dian Rahmani
Jurnal SUTASOMA (Science Teknologi Sosial Humaniora) Vol 2 No 2 (2024): Juni 2024
Publisher : Universitas Tabanan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58878/sutasoma.v2i2.286

Abstract

One innovation that can be done to increase people's interest in reading is by utilizing technology, namely by creating a digital reading room information system. This system was designed using Data Flow Diagrams, Entity Relationship Diagrams, Table Structure, and Interface Design. The programming language uses HTML, PHP, CSS, Laravel Framework and Laravel Admin as its framework. The system built has the function of managing book and user data and has the main function of making it easier to read books in the Mengwi Village library. The black box testing results show valid results from 23 test items from 3 existing user accesses. The results of the SUS questionnaire gave a score of 82.75, which is classified as Acceptable, has Grade B and is Excellent. Users feel they can accept the system and get a grade on the B scale with a good adjective rating. In future, features can be developed that can make it easier for users to read books and share the books they own, and the system can also be implemented into a mobile application.
Software Defects Predictions using SQL Complexity and Naïve Bayes Subali, Made Agus Putra; Sugiartha, I Gusti Rai Agung; Adnyana, I Made Budi; Putra, I Putu Aditya; Subawa, Made Dai
Compiler Vol 14, No 1 (2025): May
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/compiler.v14i1.2979

Abstract

Software defects result in unreliable software, therefore predicting software defects is an effort to produce quality software. In this study, we used the naïve bayes method because it has the appropriate characteristics of the data used. The data used include NASA MDP datasets and datasets from the calculation of the sql complexity method on eight software modules. The use of two datasets was carried out because in the NASA MDP datasets there were no attributes that paid attention to the use of sql commands, therefore in the datasets from the eight software modules the sql complexity attribute was included which paid attention to the level of complexity of the use of sql commands in each module. The prediction results of this study were evaluated by considering the values of accuracy, precision, recall, and f-measure. Based on these results, the accuracy results of CM1 were 88%, PC2 was 97%, and KC3 was 78%.
Co-Authors Dian Rahmani Putri, Dian Rahmani I Gusti Rai Agung Sugiartha I Komang Budiarta I Komang Rinartha Yasa Negara Ni Kadek Dwi Rahayuni, Ni Kadek Dwi Ni Ketut Dewi Ari Jayanti Ni Luh Gede Pivin Suwirmayanti, S.Kom, MT, Ni Luh Gede Pivin Putra, I Made Agus Wirahadi Putra, I Putu Aditya Putra, I Putu Gede Andika Rustamaji, Abdullah Seneng, I Kadek Setiawan, Gede Herdian Shofwan Hanief Subali, Made Agus Putra Subawa, Made Dai