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All Journal Majalah Ilmiah Teknologi Elektro Jurnal Sains dan Teknologi Techno.Com: Jurnal Teknologi Informasi Jurnal Informatika dan Teknik Elektro Terapan CESS (Journal of Computer Engineering, System and Science) Sistemasi: Jurnal Sistem Informasi Jurnal Pilar Nusa Mandiri JUTIK : Jurnal Teknologi Informasi dan Komputer SINTECH (Science and Information Technology) Journal MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal RESISTOR (Rekayasa Sistem Komputer) INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi International Journal of Engineering and Emerging Technology Jurnal Ekonomi Manajemen Sistem Informasi INSERT: Information System and Emerging Technology Journal Prosiding SNAST Jurnal Info Sains : Informatika dan Sains Andalasian International Journal of Applied Science, Engineering, and Technology Jurnal Pendidikan Sains dan Komputer Jurnal Krisnadana Journal of Artificial Intelligence and Digital Business Jurnal Krisnadana Paradharma: Jurnal Aplikasi IPTEK Majalah Ilmiah Teknologi Elektro Jurnal ilmiah teknologi informasi Asia JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
I Gusti Ayu Agung Diatri Indradewi
Universitas Pendidikan Ganesha
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Perbandingan Metode Pembobotan TF-RF Dan TF-ABS Pada Kategorisasi Berita Di BDI Denpasar I Kadek Wahyu Dananjaya; I Gusti Ayu Agung Diatri Indradewi
SINTECH (Science and Information Technology) Journal Vol. 6 No. 1 (2023): SINTECH Journal Edition April 2023
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v6i1.1252

Abstract

BDI Denpasar is a government agency tasked with carrying out training and education for human resources of animation, crafts and art. BDI Denpasar in managing news classes in the Kabar Insan Oke service still uses conventional methods. Therefore an automatic news classification module is needed. This study was made to compare the performance level of news classification at BDI Denpasar using K-NN classification with the TF-RF and TF-ABS term weighting methods. Methods that have a high level of performance will be implemented in the news classification module. This research was carried out by collecting news documents, text preprocessing, term weighting, classification, model validation and testing. The K-NN classification uses the n_neighbhor (k), namely k=3, k=5, k=7 and k=9 using a dataset of 324 documents containing 7 classes taken from BDI Denpasar website. Based on the results of the tests performed, TF-RF method obtained a higher performance at k=5 with an accuracy of 71% with a precision of 73% and a recall of 71%. TF-ABS method with the highest performance value is found at k=9 which obtains 70% accuracy, 63% precision and 70% recall. So the method that will be implemented in the news classification module is TF-RF at k=5 with an accuracy of 71% with a precision of 73% and a recall of 71%.
Analisis Sentimen Program Mbkm Pada Media Sosial Twitter Menggunakan KNN Dan SMOTE Komang Pramayasa; I Md Dendi Maysanjaya; I Gusti Ayu Agung Diatri Indradewi
SINTECH (Science and Information Technology) Journal Vol. 6 No. 2 (2023): SINTECH Journal Edition Agustus 2023
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v6i2.1372

Abstract

The Merdeka Belajar-Kampus Merdeka (MBKM) program is a relatively new program implemented in Indonesia since February 2020. Like a new program, the implementation of the MBKM program is also followed by various pro and con attitudes. Therefore, a sentiment analysis technique is needed to determine the public opinion towards the MBKM program. The purpose of this study is to determine the performance of the KNN method in performing sentiment classification optimized by the SMOTE method in overcoming the problem of unbalanced data and to determine the tendency of public sentiment towards the implementation of the MBKM program. Based on the research results, the KNN method optimized with the SMOTE method is proven to improve classification performance. From initially producing an accuracy value of 76.13%, precision of 76.03%, recall of 76.13% and f1-score of 76.01% there was an increase in accuracy value to 76.13%, precision to 76.03%, recall to 76.13%, and f1-score to 76.01%. In this study, it was found that community responses tended to be neutral towards the MBKM program. The community feels that the MBKM program is a program that can increase student experience. However, there are still program systems that are considered complicated and need to be evaluated.
Dashboard Monitoring Alumni dengan Teknologi Business Intelligence pada Sistem Tracer Study Undiksha Devi, Made Diah Arista; Indradewi, I Gusti Ayu Agung Diatri; Arthana, I Ketut Resika
INSERT : Information System and Emerging Technology Journal Vol. 4 No. 1 (2023)
Publisher : Prodi Sistem Informasi, FTK, Undiksha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/insert.v4i1.58275

Abstract

Universitas Pendidikan Ganesha mengembangkan sistem survei evaluasi diri berupa sistem informasi tracer study untuk menelusuri riwayat lulusan pada semua program studi dan semua jenjang yang telah diluluskan. Saat ini, sistem tracer study dikelola oleh UPT PKKM Undiksha di bagian Divisi Tracer Study. Tujuan penelitian ini adalah untuk dapat menyampaikan informasi hasil kuesioner lulusan pada sistem tracer study Undiksha menggunakan teknologi business intelligence yang dapat memberikan varian visualisasi data secara ringkas, mudah dipahami dan lebih menarik ke dalam bentuk dashboard monitoring. Penelitian ini menggunakan metode BI Roadmap dan Microsoft Power BI Desktop sebagai proses pengembangan dashboard monitoring dan alat pengembangannya. Pengujian sistem ini menggunakan metode UAT (User Acceptance Testing) jenis Black Box Testing yang dilakukan melalui interaksi langsung dengan sistem. Data yang digunakan adalah hasil kuesioner lulusan pada tahun 2019-2021. Penelitian ini menghasilkan dashboard monitoring perkembangan alumni yang menyajikan grafik informasi detail hasil kuesioner lulusan pada sistem tracer study Undiksha. Penelitian ini menjadikan Ketua Divisi Tracer Study, Koordinator Program Studi Pendidikan Teknik Informatika, Wakil Rektor Bidang Akademik dan Kerjasama serta Wakil Rektor Bidang Kemahasiswaan, Hubungan Masyarakat dan Alumni sebagai penguji sistem ini. Hasil pengujian sistem ini adalah dashboard monitoring perkembangan alumni dapat berjalan dengan baik dan menyajikan informasi tracer study yang dibutuhkan oleh pengguna.
TPHerbleaf : Dataset Untuk Klasifikasi Jenis Daun Tumbuhan Herbal Berdasarkan Lontar Usada Taru Pramana Dewi, Ni Putu Dita Ariani Sukma; Kesiman, Made Windu Antara; Sunarya, I Made Gede; Indradewi, I Gusti Ayu Agung Diatri; Andika, I Gede
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 6 No. 2 (2023): Jurnal RESISTOR Edisi Agustus 2023
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v6i2.1421

Abstract

Tumbuhan herbal ialah jenis tumbuhan yang dimanfaatkan dalam bidang kesehatan. Tumbuhan herbal umumnya dikenali dari daunnya karena daun mudah dibandingkan dengan bagian tumbuhan lainnya seperti bunga, buah, atau akarnya. Minimnya pengetahuan mengenai jenis tumbuhan herbal dan kemiripan jenis morfologi daun merupakan tantangan yang ditemui dalam pengenalan tumbuhan herbal, sehingga sulit untuk mengenali tumbuhan herbal terutama bagi orang yang tidak memiliki pengetahuan botani. Penelitian ini bertujuan untuk membuat dataset citra daun tumbuhan herbal bernama TPHerbleaf. Dataset ini akan digunakan untuk mengenali dan mengklasifikasikan jenis daun tumbuhan herbal berpedoman pada Lontar Usada Taru Pramana yang merupakan kearifan lokal masyarakat Bali dalam pengobatan tradisional dan telah dikaji secara ilmiah. Metode untuk klasifikasi tumbuhan herbal menggunakan EfficientNet B2 yang menghasilkan nilai akurasi 97,5% untuk training, 81,77% untuk validation, dan 83,49% untuk testing. Dengan menggabungkan pengetahuan tradisional dengan teknologi modern, penelitian ini diharapkan dapat memberikan kontribusi dalam meningkatkan pemahaman serta pelestarian warisan budaya melalui aplikasi praktis dalam bidang klasifikasi citra.
EVALUATION OF USER SATISFACTION USING THE PIECES FRAMEWORK IN THE TEMAN BUS APPLICATION Arakian, Laurensia Anjelina Tutosili; Darmawiguna, I Gede Mahendra; Indradewi, I Gusti Ayu Agung Diatri
Jurnal Pilar Nusa Mandiri Vol 19 No 1 (2023): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v19i1.3948

Abstract

The TEMAN BUS program employs technology to improve road-based public transportation in urban areas. The Ministry of Transportation of the Republic of Indonesia implements digital transformation by developing the TEMAN BUS application to support TEMAN BUS transportation services. Passengers will find it more straightforward with this application to access the TEMAN BUS travel route, view information about the departure timetable, and observe bus arrivals in real time. To evaluate an application's effectiveness, it is necessary to assess the user's impression when the program is launched. This study uses the PIECES Framework, which has six variables Performance, Information, Economics, Control and Security, Efficiency, and Service, to assess how users perceive the TEMAN BUS application. The findings of this study were derived from the perceptions of respondents, who felt that information and data performance, control and security, service, and user satisfaction were not good, and from the findings of hypothesis testing, which suggested that information and data performance and user satisfaction were unrelated.
Penerapan Metode E-Service Quality Terhadap Pengukuran Tingkat Kepuasan Penggunaan Marketplace Parwita, Wayan Gede Suka; Indradewi, I Gusti Ayu Agung Diatri; Ariantini, Made Suci; Ginantra, Ni Luh Wiwik Sri Rahayu; Putra, I Kadek Andika
SINTECH (Science and Information Technology) Journal Vol. 5 No. 2 (2022): SINTECH Journal Edition Oktober 2022
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v5i2.1236

Abstract

Intense competition makes various existing markets must be able to provide the best and satisfaction for users to win the existing competition. In the review of the JD.ID application during versions 6.3 and 6.4 there were several user complaints that led to system and service quality problems. Service quality is one of the factors supporting the success or failure of an information system to provide satisfaction to its users. The purpose of this study was to determine how the influence of electronic service quality (e-service quality) on user satisfaction in the JD.ID application. The type of analysis used in this study is simple regression analysis with descriptive analysis to describe a generalization or explain the research subject based on the dimensions of e-service quality, so that an overview of the effect of e-service quality on user satisfaction can be obtained. The processed data was obtained from distributing questionnaires by using the google form. The results showed that the majority of JD.ID marketplace users in Badung Regency were women. The test results show that e-service quality which consists of dimensions of efficiency, system availability, fulfillment, privacy, responsiveness, compensation, and contact has a significant influence on user satisfaction and has a strong correlation, meaning that the higher the service quality JD has. ID, the higher the level of satisfaction of JD.ID users. It can be said that the service quality of JD.ID is quite good in providing user satisfaction.
Augmented Reality Introduction To Cirebon Mask At Setia Darma Mask House Gianyar Ariantini, Made Suci; Rajasyah, Alfatino Yohan; Ariasih, Ni Kadek; Indradewi, I Gusti Ayu Agung Diatri; Parwita, Wayan Gede Suka
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 02 (2024): Informatika dan Sains , Edition, June 2024
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/infosains.v14i02.4493

Abstract

This research aims to explore the application of Augmented Reality (AR) technology in the context of introducing Cirebon Masks at the Setia Darma Mask House, Gianyar using Marker Based. Cirebon masks have high cultural and artistic value in traditional Indonesian art, and the Setia Darma Mask House is an important place in introducing and preserving this art to the wider community. Using AR as a tool, this research investigates ways in which this technology can be used to provide visitors with an interactive and immersive learning experience about Cirebon Masks. The research methodology involved developing a custom AR application that allows users to see, hear, and interact with a virtual representation of the Cirebon Mask. Data was collected through observation, interviews and literature study to evaluate the effectiveness of the application. From the test results of 8 tests on the menu in the system using the black box testing method, the system is in accordance with the expected results, namely there are no errors when the system is used. the results of usability testing with the values obtained, namely Application Learnability is 89.4% which means Very Good, Efficiency gets 89.8% which means Very Good, Memorability gets 91.7% which means Very Good, Error gets 63.7% which means Fairly Good and Satisfaction gets 90, 1% which means Very Good
Ekstraksi Ciri pada Citra Iris Menggunakan Gabor 2-D I Gusti Ayu Agung Diatri Indradewi; I Putu Agung Bayupati; I Ketut Gede Darma Putra
Jurnal Teknologi Elektro Vol 15 No 1 (2016): (January - June) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2016.v15i01p03

Abstract

Abstrak – Iris merupakan salah satu bagian tubuh manusia yang sering digunakan dalam sistem pengenalan biometrik karena tingkat perbedaannya yang tinggi. Ektraksi ciri merupakan salah satu tahapan yang dilalui dalam pengembangan sistem pengenalan biometrik iris. Tahap ini bertujuan untuk mengekstrak informasi dari citra iris yang telah disegmentasi sehingga dapat digunakan sebagai ciri unik dari iris bersangkutan. Pada paper ini tahap ekstraksi ciri dilakukan dengan menggunakan tapis Gabor 2-D. Tapis tersebut digunakan karena mampu menyediakan representasi gabungan yang optimal dari sinyal dalam domain spasial dan frekuensi. Hasil penerapan tapis Gabor 2-D didemodulasi dengan menggunakan quadrature Gabor 2-D untuk menghasilkan iris code yang dijadikan sebagai informasi pembeda (fitur ciri) iris. Hasil uji coba pada penelitian ini menghasilkan fitur iris terbaik ketika ukuran tapis yang digunakan adalah 33×33. Sudut orientasi yang digunakan untuk fitur real dan imaginary adalah -45º, 0º, 45º, dan 90º. DOI: 10.24843/MITE.1501.03
Evaluasi Kualitas Sistem Informasi Karya Akhir Menggunakan Metode McCall: Studi Kasus di Universitas Pendidikan Ganesha Mitha, I Made Ardha Premana; Pradnyana, I Made Ardwi; Indradewi, I Gusti Ayu Agung Diatri
Techno.Com Vol. 23 No. 4 (2024): November 2024
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v23i4.11625

Abstract

Penelitian ini bertujuan untuk mengembangkan model evaluasi kualitas sistem informasi karya akhir pada institusi pendidikan tinggi menggunakan metode McCall, dengan mengambil studi kasus di Universitas Pendidikan Ganesha (Undiksha). Evaluasi kualitas sistem informasi akademik merupakan hal yang krusial untuk memastikan efektivitas layanan dan mendukung proses akademik di perguruan tinggi. Penelitian menggunakan pendekatan deskriptif kuantitatif dengan fokus pada aspek product operation yang mencakup lima faktor: Correctness, Reliability, Efficiency, Integrity, dan Usability. Pengambilan sampel menggunakan teknik Proportionate Stratified Random Sampling dengan jumlah 515 responden. Hasil evaluasi menunjukkan nilai total kualitas sistem sebesar 70% (kategori Baik), dengan rincian: Correctness 61% (Baik), Reliability 56% (Cukup Baik), Efficiency 58% (Cukup Baik), Integrity 59% (Cukup Baik), dan Usability 43% (Cukup Baik). Model evaluasi dan rekomendasi yang dihasilkan dapat diadaptasi oleh institusi pendidikan tinggi lain dalam mengembangkan dan meningkatkan kualitas sistem informasi Karya Akhir. Kata kunci: Evaluasi, kualitas, sistem informasi karya akhir, McCall
Jaringan Syaraf Tiruan LVQ Berbasis Parameter HSV dalam Penentuan Uang Rupiah Palsu I Gusti Ayu Agung Diatri Indradewi; Made Suci Ariantini
Jurnal Ilmiah Teknologi Informasi Asia Vol 13 No 1 (2019): Volume 13 Nomor 1 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

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

Abstract

ABSTRACT. Counterfeit money when viewed at a glance has the exact same physical with the original money issued by Bank Indonesia. To prevent unintentional transactions using counterfeit money, the government has socialized the 3D method (Visible, Feelable, and Endangered). In addition, in institutions directly related to finance such as banking, as well as on-site shopping have started using a counterfeit money scanner that utilizes ultraviolet light. The lack of this tool requires the accuracy of the human eye to determine genuine or fake money. Determination of authenticity of Rupiah banknotes can be done by using the pattern classification method one of which can be accommodated by artificial neural networks. LVQ (Learning Vector Quantization) performs supervised learning to classify a pattern. The feature of banknotes in HSV (Hue Saturation Value) color space is extracted in this proposed technique. The features that have been obtained are further classified using LVQ to determine the authenticity of the Rupiah banknotes. Keywords: counterfeit money; Rupiah banknotes; LVQ; HSV
Co-Authors Adnyana, I Ketut Widhi Andika, I Gede Arakian, Laurensia Anjelina Tutosili Bawatanaya, Anak Agung Gede Wisnu Cahyadi, Kadek Wawan Devi, Made Diah Arista Dewi, Ni Putu Bimantari Dewi, Ni Putu Dita Ariani Sukma Gede Arna Jude Saskara Gede Surya Mahendra I Gde Prayoga Wibawa I Gede Mahendra Darmawiguna I Kadek Wahyu Dananjaya I ketut Gede Darma Putra I Ketut Resika Arthana I Made Ardwi Pradnyana I Made Gede Sunarya I Md. Dendi Maysanjaya I Putu Agung Bayupati Kertiyasa, Made Medhi Premana Komang Pramayasa Made Suci Ariantini Made Windu Antara Kesiman Mitha, I Made Ardha Premana Ni Kadek Ariasih, Ni Kadek Ni Luh Wiwik Sri Rahayu Ginantra Ni Putu Sri Mulyani Ni Wayan Wardani Putra, I Kadek Andika Putra, I Wayan Ari Pramana Putri, Vany Adelia Putu Yudia Pratiwi Raditia, Kadek Rama Rajasyah, Alfatino Yohan Saraswati, Ni Wayan Sumartini Sari, Ni Luh Pangestu Widya Sutrisna, Ketut Dita Ari Wardani, Ni Wayan Wayan Gede Suka Parwita