Article Per Year (5 Year)
p-Index From 2021 - 2026
1.556
P-Index
This Author published in this journals
All Journal INFORMAL: Informatics Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Network Engineering Research Operation [NERO] JUTIK : Jurnal Teknologi Informasi dan Komputer Building of Informatics, Technology and Science Jurnal Mantik Indonesian Journal of Data and Science Jurnal Info Sains : Informatika dan Sains JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat)
Ariana, Anak Agung Gede Bagus
Program Studi Sistem Komputer, STMIK STIKOM Indonesia Jl Tukad Pakerisan No. 97, Denpasar, Bali
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
SISTEM PENDUKUNG KEPUTUSAN SELEKSI PENERIMAAN DOSEN TETAP YAYASAN DENGAN METODE FUZZY-AHP Joni, I Dewa Made Adi Baskara; Ariana, Anak Agung Gede Bagus
Network Engineering Research Operation [NERO] Vol 1, No 2 (2014): Nero
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Salah satu permasalahan yang terjadi di STMIK STIKOM Indonesia adalah pada proses seleksi calon dosen tetap yayasan yang dapat dikatakan tidak efektif. Hal tersebut dikarenakan beberapa hal seperti desakan untuk memenuhi kuantitas dosen sesuai standar rasio yang ditetapkan Direktorat Jenderal Pendidikan Tinggi (Dirjen DIKTI). Akar permasalahannya dikarenakan perkembangan institusi yang setiap tahun terus menambah jumlah mahasiswa dikarenakan animo masyarakat yang tinggi. Dalam penyeleksian calon dosen tetap pihak akademik memberikan beberapa rangkaian penilaian diantaranya tes tulis, micro teaching, wawancara, kualifikasi dan soft skill untuk mengetahui kualitas dan kemampuan calon dosen tetap tersebut. Berdasarkan penilaian terhadap kriteria tersebut membuat seorang pengambil keputusan dihadapkan pada suatu permasalahan yang sulit dan cenderung mengandalkan subjektifitas. Dalam penelitian ini dihasilkan sebuah sistem yang mengadaptasi metode Fuzzy AHP. Fuzzy AHP adalah salah satu metode perankingan. Fuzzy AHP merupakan gabungan metode AHP dengan pendekatan konsep fuzzy. Langkah-langkah dalam menerapkan metode Fuzzy AHP adalah menentukan kriteria yang digunakan sebagai acuan penilaian. Selanjutnya dilakukan penentuan nilai bobot kriteria, perbandingan matriks berpasangan kriteria Fuzzy AHP dan normalisasi bobot vektor fuzzy berdasarkan perhitungan yang sudah dilakukan. Berdasarkan hasil pengujian terhadap sistem yang telah dibangun dapat dikatakan bahwa sistem dapat digunakan untuk membantu dalam mengambil keputusan dengan lebih obyektif berdasarkan penilaian kriteria setiap kandidat yang diseleksi. Kata kunci: Sistem pendukung keputusan, kriteria, bobot, seleksi, Fuzzy-AHP
Analisis Performansi Dua Sistem Operasi Server CentOS 8 dan Oracle Linux 8 Menggunakan Metode Levene Dengan SysBench Gde Andrayuga Pramaditha Tenaya; I Dewa Putu Gede Wiyata Putra; Anak Agung Gde Ekayana; I Gusti Made Ngurah Desnanjaya; Anak Agung Gede Bagus Ariana
INFORMAL: Informatics Journal Vol 7 No 1 (2022): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v7i1.30172

Abstract

CentOS 8 is a popular operating system for servers, but will discontinue. The Oracle Linux 8 operating system was chosen as a replacement because this operating system has many similarities with CentOS 8 and is distributed by the same party, namely RHEL (Red Hat Enterprise Linux). This study aims to compare the stability of the two server operating systems, as well as provide a reference for operating system users to choose a server operating system. CPU and memory tests were performed using SysBench software with the same number of threads, which were then recorded and compared. Cacti software is also used to compare CPU and memory performance in real time. The results showed that Oracle Linux 8 and CentOS 8 are two operating systems with different variances, although the kernels used by both operating systems are the same. Oracle Linux 8 can serve clients faster than CentOS 8 with a difference of 0.26 seconds.
SISTEM PENDUKUNG KEPUTUSAN SELEKSI PENERIMAAN DOSEN TETAP YAYASAN DENGAN METODE FUZZY-AHP I Dewa Made Adi Baskara Joni; Anak Agung Gede Bagus Ariana
Network Engineering Research Operation Vol 1, No 2 (2014): Nero
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1315.844 KB) | DOI: 10.21107/nero.v1i2.33

Abstract

Salah satu permasalahan yang terjadi di STMIK STIKOM Indonesia adalah pada proses seleksi calon dosen tetap yayasan yang dapat dikatakan tidak efektif. Hal tersebut dikarenakan beberapa hal seperti desakan untuk memenuhi kuantitas dosen sesuai standar rasio yang ditetapkan Direktorat Jenderal Pendidikan Tinggi (Dirjen DIKTI). Akar permasalahannya dikarenakan perkembangan institusi yang setiap tahun terus menambah jumlah mahasiswa dikarenakan animo masyarakat yang tinggi. Dalam penyeleksian calon dosen tetap pihak akademik memberikan beberapa rangkaian penilaian diantaranya tes tulis, micro teaching, wawancara, kualifikasi dan soft skill untuk mengetahui kualitas dan kemampuan calon dosen tetap tersebut. Berdasarkan penilaian terhadap kriteria tersebut membuat seorang pengambil keputusan dihadapkan pada suatu permasalahan yang sulit dan cenderung mengandalkan subjektifitas. Dalam penelitian ini dihasilkan sebuah sistem yang mengadaptasi metode Fuzzy AHP. Fuzzy AHP adalah salah satu metode perankingan. Fuzzy AHP merupakan gabungan metode AHP dengan pendekatan konsep fuzzy. Langkah-langkah dalam menerapkan metode Fuzzy AHP adalah menentukan kriteria yang digunakan sebagai acuan penilaian. Selanjutnya dilakukan penentuan nilai bobot kriteria, perbandingan matriks berpasangan kriteria Fuzzy AHP dan normalisasi bobot vektor fuzzy berdasarkan perhitungan yang sudah dilakukan. Berdasarkan hasil pengujian terhadap sistem yang telah dibangun dapat dikatakan bahwa sistem dapat digunakan untuk membantu dalam mengambil keputusan dengan lebih obyektif berdasarkan penilaian kriteria setiap kandidat yang diseleksi. Kata kunci: Sistem pendukung keputusan, kriteria, bobot, seleksi, Fuzzy-AHP
PERANCANGAN SISTEM INFORMASI MANAJEMEN ASET STMIK STIKOM INDONESIA I Wayan Sudiarsa; Anak Agung Gede Bagus Ariana
Jurnal Teknologi Informasi dan Komputer Vol 3, No 2 (2017): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (458.428 KB)

Abstract

ABSTRACTSTMIK STIKOM Indonesia electronic assets was part off fixed asset that have a long life time. In this case asset was a non saleable stuff for operational needs.  STTMIKSTIKOM Indonesia assets such aslaboratory equipment that contain computer laboratory, computer network laboratory, graphical designand photography laboratory. STMIK STIKOM Indonesia assets is increasing Every year since 2008 .  Itneeds a good administration rules for filing and counting depreciation of every assets. It is important tohave such a system starting from procurement, updating data and asset extermination. According to assetmanagement research by sudrajat, 2007, asset management profit have relation to accountability, servicemanagement, risk management, and finance efficiency. (1) Improve management and accountability byshowing to owners, users and stakeholders that the result is an effective and efficient service. (2) Providea basis for evaluation and balancing of services, pricing and quality. (3) Increased accountability forresource use by performance and financial accounting. (4) Improving communications and relationshipswith users, improving understanding of service needs and options, formal consultation or agreement withusers about service levels, a comprehensive approach of asset management within organizations withteams from multidisciplinary management. 5. Improve customer convenience and corporate image. Basedon the exposure of problems and expected goals, it conducted research on asset management informationsystem on STMIK STIKOM Indonesia. Keywords : asset management, information system.  ABSTRAK STMIK STIKOM Indonesia memiliki aset barang elektronik yang merupakan bagian dari aktiva tetapdengan jangka waktu penggunaan yang cukup lama. Aset dalam hal ini merupakan benda yang tidakdijual kembali untuk kegiatan operasional. Aset pada STMIK STIKOM Indonesia seperti peralatanlaboratorium yang mencakup laboratorium komputer, laboratorium jaringan komputer, laboratoriumdesain dan fotografi. Sejak berdiri tahun 2008 saat ini jumlah aset yang dimiliki STMIK STIKOMIndonesia semakin meningkat. Diperlukan suatu tertib administrasi pencatatan dan penghitunganpenyusutan masing-masing aset. Hal ini diperlukan untuk membangun pengelolaan aset dimulai daripengadaan, perubahan data dan penghapusan aset. Menurut penelitian tentang manajemen aset (Sudrajat,2007), keuntungan dari manajemen aset berhubungan dengan akuntabilitas, manajemen layanan,manajemen resiko dan efisiensi keuangan. (1) Meningkatkan pengurusan dan akuntabilitas dengan menunjukkan ke pemilik, pengguna dan pihak yang terkait bahwa layanan yang dihasilkan adalah layananyang efektif dan efisien. (2) Menyediakan dasar untuk evaluasi dan penyeimbangan layanan, harga dankualitas. (3) Peningkatan akuntabilitas untuk penggunaan sumber daya dengan penghitungan kinerja dankeuangan. (4) Meningkatkan komunikasi dan hubungan dengan pengguna layanan dengan, meningkatkanpengertian pada kebutuhan layanan dan pilihan-pilhannya, konsultasi formal atau persetujuan denganpengguna tentang level layanan, pendekatan yang menyeluruh dari manajemen aset di dalam organisasidengan team yang berasal dari multi disiplin manajemen. 5. Meningkatkan kenyamanan pelanggan dancitra perusahaan. Berdasarkan pemaparan permasalahan serta tujuan yang diharapkan, maka  dilakukanpenelitan mengenai sistem informasi manajemen aset pada STMIK STIKOM Indonesia. Kata kunci: Sistem Informasi, Manajemen Aset
Optimasi Fungsi Pembelajaran Jaringan Saraf Tiruan dalam Meningkatkan Akurasi pada Prediksi Ekspor Kopi Menurut Negara Tujuan Utama Ridho, Ihda Innar; Ariana, Anak Agung Gede Bagus; Windarto, Agus Perdana
Building of Informatics, Technology and Science (BITS) Vol 4 No 4 (2023): March 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i4.3240

Abstract

In the learning process carried out by Backpropagation the learning function is important in finding optimal results. This study aims to optimize the learning function of artificial neural networks in increasing the accuracy of coffee export predictions according to the main destination countries as research objects. This study applies the learning function to weights in Matlab, namely Gradient Descent with Adaptive Learning Rate (traingda), Gradient Descent with Momentum (traingdm), and Gradient Descent with Momentum and Adaptive Learning Rate (trainingdx) using several hidden layers, namely 15,30 and 45. Based on a series of trials conducted, the results of the study show that by implementing the Gradient Descent learning function with an Adaptive Learning Rate (trainingda) with a hidden layer of 30 it is capable of training neural networks with a better level of optimization, performing 143 iterations which produces a truth accuracy of 83%. When compared with the use of other learning functions that only last with an accuracy of no more than 78%. In general, it can be concluded that the optimization of the Gradient Descent learning function with Adaptive Learning Rate (trainda) can be applied to predict coffee exports according to the main destination countries, because the iterative process carried out to achieve convergence in increasing accuracy performs well
The Analysis Of Honeypot Performance Using Grafana Loki And ELK Stack Visualization Njoera, Yahya Alexander Djo; Hartawan, I Nyoman Buda; Ariana, Anak Agung Gede Bagus; Krisna, Evi Dwi
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 03 (2024): Informatika dan Sains , Edition July - September 2024
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Through the development of current technology, many agencies have implemented technology in the form of computers and servers to improve company operations. However, there are several aspects of threats in the form of cyber attacks that lurk someone when using a computer connected to the internet. One way to prevent these attacks is to use a honeypot application. Honeypot is a system used to deceive hackers who carry out cyber attacks on the system. Every attack received by the honeypot will be recorded in a log. However, reading log data from the honeypot is still difficult to do directly. So an application is needed that can visualize log data from the honeypot. In this study, the visualization applications used are Grafana Loki and ELK Stack. The purpose of this study was to determine the performance of Grafana Loki and ELK Stack in using system resources and in visualizing data. The results of this study indicate that Grafana Loki when processing or not processing honeypot log data uses less system resources compared to ELK Stack. ELK Stack uses 37.8% or 2930 MB of memory, while Grafana Loki only uses 9.7% or 769 MB. Although ELK Stack requires more CPU and memory resources, its data visualization is easier to do compared to Grafana Loki.
Restructuring Arsitektur Backend Aplikasi XYZ Berbasis Microservice Merta, I Kadek Priyana Adi; Andika, I Gede; Supartha, I Kadek Dwi Gandika; Ariana, Anak Agung Gede Bagus; Adnyana, I Gede
INFORMAL: Informatics Journal Vol 9 No 2 (2024): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i2.48699

Abstract

This research aimed to restructure the backend architecture of the XYZ application prototype using Microservice architecture. Load testing was conducted to compare the performance of the initial prototype backend and microservice architecture on response-time, throughput, and latency metrics. The restructuring method used was arranged in 4 stages with a total of 7 activities. In the first stage, system analysis was conducted on the XYZ application prototype. In the second stage, architecture decomposition, consisting of 3 activities, which were identifying system operations, identifying services using domain-driven design decomposition, and defining services and collaboration, was performed. In the third stage, database requirements analysis was performed on the microservice architecture that had been formed. In the fourth stage, the database design and microservice backend were implemented and tested using 3 different amounts of data, which were 56, 112, and 210, against 14 endpoints on both the prototype backend and the microservice backend. Based on the test results taken from the Apache JMeter Listener, it showed that the prototype backend showed superior performance in testing per endpoint, but in the overall test, the microservice backend showed better performance with a 2,4% faster response time, 1,8% higher throughput, and 2,4% lower latency. There is a pattern that shows the dominant microservice backend excels in tests with the last data, Data 210, in all metrics measured.
IMPLEMENTASI DNS SERVER MENGGUNAKAN PI-HOLE UNTUK INTERNET SEHAT DAN AMAN DI SMK PRATAMA WIDYA MANDALA BADUNG I Gede Adnyana; Anak Agung Gede Bagus Ariana; Anak Agung Gde Ekayana; Putu Risanti Iswardani; I Gede Handi Raharja
Jurnal Widya Laksmi: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 1 (2024): Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat)
Publisher : Yayasan Lavandaia Dharma Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59458/jwl.v4i1.71

Abstract

Internet sangat dibutuhkan oleh para siswa sebagai media untuk menunjang pembelajaran dalam menemukan informasi sebagai sumber pembelajaran. Karena informasi yang dari internet bisa didapat dengan gratis, sering kali pemilik situs memberikan iklan pada situs mereka yang tidak jarang sangat mengganggu pembaca. Melihat permasalahan tersebut maka pada penelitian yang dilakukan ini memiliki tujuan untuk membangun sebuah sistem DNS server menggunakan Pi-Hole yang mampu untuk memfilter konten negatif di dalam jaringan internet. Di dalam Pi-Hole tersebut terdapat fitur yang berguna untuk memfilterisasi konten yang terdapat di internet. Metode yang digunakan dalam penelitian ini menggunakan daftar hitam yang berisi sekumpulan domain situs-situs yang telah dikumpulkan menjadi satu yang nantinya akan digunakan sebagai pedoman untuk melakukan filtrasi. Penelitian ini dilakukan di SMK Pratama Widya Mandala Badung. Hasil dari pengujian dari Pi-Hole yakni sistem yang diuji dapat bekerja dengan optimal, sistem ini dapat memblokir situs-situs yang ada pada daftar hitam. Kata Kunci : Pi-Hole, DNS, Server
Sentiment analysis of mobile jkn application reviews using the multinomial naïve bayes algorithm Paratama, I Putu Dedy Eka; Bagus Ariana, Anak Agung Gede; Labasariyani, Ni Luh Putu; Rahayu G, Ni Luh Wiwik Sri
Jurnal Mantik Vol. 9 No. 1 (2025): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v8i5.6221

Abstract

Digital transformation in healthcare services has significantly improved public access to information. The Mobile JKN (National Health Insurance) application was developed to facilitate easier access to healthcare services. However, its effectiveness needs to be evaluated through sentiment analysis of user reviews on the Google Play Store. This study aims to determine user sentiment toward the Mobile JKN application using the Multinomial Naïve Bayes method, a commonly used classification technique in machine learning. The data was collected through web scraping and processed through several stages, including tokenization, stopword removal, and text normalization. Sentiment labels were then assigned using a lexicon-based approach, specifically the INSET lexicon, before classification. The analysis revealed that the majority of reviews expressed negative sentiment, particularly concerning application performance, technical issues, and healthcare service quality. The results also showed that the Multinomial Naïve Bayes model was able to classify the data with an accuracy of 81%. Therefore, the Mobile JKN application still requires technical improvements and service enhancements to provide a better user experience. This study offers valuable insights for developers and can serve as a foundation for policy-making to improve the quality of digital healthcare services
Performance Comparison of MobileNetV2 and NASNetMobile Architectures in Soybean Leaf Disease Classification I Gede Rian Lanang Oka; Anak Agung Gede Bagus Ariana; Wayan Sauri Peradhayana; Ni Luh Wiwik Sri Rahayu Ginantra; I Ketut Sutarwiyasa
Indonesian Journal of Data and Science Vol. 6 No. 2 (2025): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v6i2.243

Abstract

Soybean is one of the essential commodities in Indonesia, commonly used as a raw material for tofu and tempeh, making it highly sought after. However, soybean production has decreased by up to 30% due to disease attacks, necessitating preventive measures. This study aims to compare two Convolutional Neural Network (CNN) architectures, MobileNetV2 and NASNetMobile, in classifying soybean leaf diseases. The models were trained using a leaf image dataset collected directly from agricultural fields and categorized into five classes. The dataset underwent augmentation to increase its size, resulting in a total of 6,000 images, which were then split with an 80:10:10 ratio. The models were trained using the Adam optimizer with a learning rate of 0.001, optimized using ReduceLROnPlateau, and a dropout rate of 0.2 to prevent overfitting. Evaluation results using a confusion matrix indicated that MobileNetV2 performed better with an accuracy of 96.67%, precision of 96.70%, recall of 96.67%, and an F1-score of 96.68%, compared to NASNetMobile, which achieved an accuracy of 86.33%, precision of 86.91%, recall of 86.33%, and an F1-score of 86.40%.
Co-Authors Agus Perdana Windarto Anak Agung Gde Ekayana Andika, I Gede Christina Purnama Yanti Evi Dwi Krisna . Gde Andrayuga Pramaditha Tenaya I Dewa Made Adi Baskara Joni I Gede Adnyana I Gede Adnyana I Gede Handi Raharja I Gede Iwan Sudipa I Gede Rian Lanang Oka I Gusti Made Ngurah Desnanjaya I Kadek Dwi Gandika Supartha I ketut Gede Darma Putra I Nyoman Buda Hartawan I Putu Adi Pratama, I Putu Adi I WAYAN SUDIARSA Linawati Linawati Merta, I Kadek Priyana Adi NI LUH PUTU LABASARIYANI Ni Luh Wiwik Sri Rahayu Ginantra Njoera, Yahya Alexander Djo Paratama, I Putu Dedy Eka Putri, Ida Ayu Putu Calista Kencana Putu Risanti Iswardani Rahayu G, Ni Luh Wiwik Sri Ridho, Ihda Innar Sutarwiyasa, I Ketut Wayan Sauri Peradhayana Wiyata Putra, I Dewa Putu Gede