Article Per Year (5 Year)
p-Index From 2021 - 2026
3.048
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) ISSN: 2252-9063 Jurnal Sistem dan Informatika INFORMAL: Informatics Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JUTIK : Jurnal Teknologi Informasi dan Komputer SINTECH (Science and Information Technology) Journal Jurnal Mantik JURNAL ILMU KOMPUTER INDONESIA INFOKUM Prosiding SNAST Jurnal Info Sains : Informatika dan Sains Journal of Social Work and Empowerment KOMET Jurnal ilmiah teknologi informasi Asia Abdimas Paspama
Made Suci Ariantini
Institut Bisnis Dan Teknologi Indonesia
Agriculture, Biological Sciences & Forestry Humanities 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 Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

Published : 24 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 24 Documents
Search

 1   2   3 
PERANCANGAN DISTRIBUSI SISTEM INFORMASI UNTUK OPTIMALISASI PERUBAHAN JADWAL KULIAH BERBASIS MOBILE ANDROID (STUDI KASUS: STIKI INDONESIA) Yuri Prima Fittryani; Made Suci Ariantini
Jurnal Teknologi Informasi dan Komputer Vol 6, No 2 (2020): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (683.414 KB)

Abstract

ABSTRACTScheduling distribution problems that exist in STIKI namely if there are lectures that are canceled, postponed lectures, and substitute lectures, students will get notifications after being in college or from BAAK (unless the lecturer informs the students via the whatsapp application), changes in class schedules cannot be accessed online by students. All lecturers who want to cancel lectures, postpone lecture time, and change lecture schedules must pass BAAK (it takes time to get to students, while students are often unable to attend the substitute lectures). From the problems above, then we will analyze and create a design and information system based on Android mobile applications. Distribution information system changes lecture schedules that can be accessed by every student, lecturer and BAAK to facilitate access and convey information. This makes it easy in the process of distributing information to students and lecturers at STIKI INDONESIA quickly and accurately.Keywords: distribution, information systems, scheduling, mobile androidABSTRAKAdapun beberapa masalah distribusi penjadwalan yang ada pada STIKI yaitu jika terdapat kuliah yangdibatalkan, kuliah yang diundur, dan kuliah pengganti, mahasiswa akan mendapatkan pemberitahuansetelah berada dikampus atau dari BAAK (kecuali jika dosen menginfokan ke group mahasiswa lewataplikasi WhatsApp), adanya perubahan jadwal kuliah tidak bisa diakses secara online oleh mahasiswa.Semua dosen yang ingin membatalkan kuliah, mengundur waktu perkuliahan, serta mengganti jadwalperkuliahan harus melewati BAAK (perlu waktu untuk sampai ke mahasiswa, sementara mahasiswasering berhalangan hadir pada kuliah pengganti. Dari permasalahan diatas, maka kami akanmenganalisis dan membuat sebuah rancang bangun aplikasi sistem informasi berbasis mobile android.System informasi pendistribusian perubahan jadwal perkuliahan yang dapat diakses setiap mahasiswa,dosen, serta BAAK untuk memudahkan mengakses dan menyampaikan informasi. Hal ini memberikankemudahan dalam proses distribusi informasi kepada Mahasiswa dan Dosen di STIKI INDONESIAsecara cepat, tepat, dan akurat.Kata kunci : distribusi, sistem informasi, penjadwalan, mobile, android.
PIECES ANALYSIS IN THE INFLUENCE OF THE DESIGNING DIGITAL SIGNATURE CERTIFICATE SYSTEM Ida Bagus Gede Sarasvananda; I Putu Eka Giri Gunawan; I Komang Arya Ganda Wiguna; Made Suci Ariantini; I Gede Iwan Sudipa
Jurnal Mantik Vol. 6 No. 1 (2022): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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

Abstract

Correspondence is an inseparable part of an agency, both private and government. The administration of correspondence has often utilized information system technology in assisting business processes carried out by parties within the organization itself. For example, the Institute for Innovation and Creativity Development (LPIK) of the Indonesian Institute of Business and Technology (INSTIKI) has implemented a correspondence information system, but there is a weakness in the system, namely that there is no digital signature process so that it is not optimal in facilitating the management of correspondence. This study aims to analyze the business processes of the system that is already running using the PIECES (Performance, Information, Economy, Control, Efficiency, Service) method. The benefits of the research are obtained from the analysis of the problems based on the previously running system seen from the use case diagram design, activity diagrams and system interfaces. This results in an analysis of the proposed system to complete system features and system functionality based on the results of the analysis of 6 aspects of PIECES which can assist LPIK institutions in facilitating the mailing business process.
Customer Satisfaction Analysis of PLN Mobile Services Using the Naïve Bayes Classifier Method I Komang Arya Ganda Wiguna; Ani Nida’ia Mustafida; Putu Praba Santika; Made Suci Ariantini; I Gede Iwan Sudipa
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (256.855 KB)

Abstract

This research was conducted to determine customer satisfaction with the PLN Mobile application service by employing the Nave Bayes Classifier algorithm in order to precisely determine the level of customer satisfaction with the PLN Mobile application service based on customer data collected through the PLN Mobile application. Using a questionnaire issued to consumers who use the PLN Mobile application, the author collects data for this study. The purpose of the author's research is to acquire the outcomes of data analysis using the Nave Bayes Classifier equation. Class "Yes (Satisfied)" and Class "No (Not Satisfied)" were established by the authors of this study to measure consumer satisfaction with PLN Mobile application services. To determine the classification of satisfaction, the author employs the factors of gender, age, and occupation, in addition to sixteen of the author's own assertions. Based on studies utilizing the Nave Bayes Classifier, the authors obtained a precision of 90.48%.
Pemanfaatan Sistem Informasi Dalam Mengelola Data UMKM di Desa Kukuh, Kecamatan Kerambitan, Tabanan I Putu Susila Handika; I Kadek Susila Satwika; I Nyoman Widhi Adnyana; Made Suci Ariantini; Putu Praba Santika
Journal of Social Work and Empowerment Vol 1 No 1 (2021): Journal of Social Work and Empowerment - September 2021
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

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

Abstract

Untuk mewujudkan kemandirian desa, maka berbagai upaya dapat dilakukan oleh pemerintah desa, salah satunya adalah pemberdayaan masyarakat desa. Adapun yang dimaksud dalam pemberdayaan masyarakat desa ini adalah pengelolaan aset dan potensi desa, salah satunya adalah sektor Usaha Mikro, Kecil, dan Menengah (UMKM). Desa Kukuh memanfaatkan peran teknologi dalam mengelola seluruh UMKM yang ada di dalam Desa Kukuh itu sendiri. Karena dengan pemanfaatan teknologi dapat memudahkan Pemerintah Desa dalam mendata dan mengelola sekaligus memberikan kebijakan. Permasalahan yang dihadapi saat ini adalah tidak adanya informasi dan pengelolaan data yang valid mengenai jumlah UMKM yang ada pada Desa Kukuh. Hal ini berdampak ketika Pemerintah Desa ingin memberikan program dan kebijakan menjadi tidak maksimal. Permasalahan lain yang muncul keterkaitan dengan data ini mengakibatkan informasi mengenai UMKM itu sendiri menjadi tidak maksimal. Berdasarkan permasalan tersebut maka dibuatkan sebuah sistem direktori yang nantinya akan menyimpan seluruh data UMKM di Desa Kukuh. Dari hasil jejak pendapat yang dilakukan bahwa 92,1% pelaku UMKM menyatakan bahwa aplikasi bermanfaat bagi pelaku usaha dan seluruh pelaku usaha (100%) bersedia untuk didaftarkan pada aplikasi. Kemudian seluruh pengurus (100%) menilai aplikasi ini sangat bermanfaat.
Pelatihan Pemanfaatan Aplikasi Microsoft Office Bagi Siswa SMP N 5 Sukawati Wayan Gede Suka Parwita; I Kadek Budi Sandika; I Komang Arya Ganda Wiguna; Made Suci Ariantini; Desak Made Dwi Utami Putra
Journal of Social Work and Empowerment Vol 2 No 3 (2023): Journal of Social Work and Empowerment - Mei 2023
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

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

Abstract

Pusat Kegiatan Belajar Masyarakat (PKBM) SMP N 5 Sukawati sebagai satuan pendidikan yang memberikan layanan ektrakulikuler pendidikan bagi siswa/siswi SMP N 5 Sukawati. Pelatihan penggunaan Microsoft Office ini bertujuan untuk meningkatkan keterampilan siswa/siswi SMP N 5 Sukawati melalui kegiatan pelatihan penggunaan Microsoft Office. Manfaat kegiatan ini dapat memberikan pengetahuan cara menggunakan Microsoft Office, dapat memecahkan masalah dalam pengetikan. Hasil penilaian kegiatan peningkatan kemampuan berupa pemahaman dan keterampilan peserta 47% bernilai baik, 41% bernilai cukup, 12% bernilai kurang. Pelatihan ini berjalan sukses terlihat dari hasil penilaian peserta untuk penyampaian materi dan kemudahan pemahaman peserta yaitu, 47% peserta menilai baik, 35% peserta menilai baik sekali dan 18% peserta menilai cukup.
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
Analisis Sentimen Opini Publik Terhadap Konser Coldplay Di Jakarta Pada Twitter Menggunakan Metode Support Vector Machine Hidayatulloh, Fachmi; Andika, I Gede; Suryawan, I Wayan Dharma; Ariantini, Made Suci; Sudipa, I Gede Iwan
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.v9i2.46046

Abstract

Advances in information and communication technology are changing the way humans obtain information. One of them is through social media Twitter. Twitter is a social media that is famous as a medium for general public opinion. There are many discussion topics that people respond to on Twitter. One of the topics on Twitter social media that is trending is related to the Coldplay Jakarta concert. The Coldplay Jakarta concert event received various responses from netizens. This is because the public is very enthusiastic about watching this British music group. However, public enthusiasm did not run smoothly due to the emergence of various phenomena and problems that occurred before and after this event was held. Therefore, the sentiments given are very diverse. Starting from negative sentiments to positive sentiments. The sentiment analysis process can find and solve problems based on public sentiment on Twitter. The dataset was obtained through a data crawling process using Google Colabs with the Python programming language. The total dataset obtained was 1,831 raw datasets. After that, the dataset is processed in data cleansing which aims to remove components that are not needed in sentiment analysis. Next, the dataset is labeled negative and positive. Then pre-processing is carried out on the data that has been previously labeled, and a word weighting process is also carried out using Term Frequency - Inverse Document Frequency (TF-IDF). After that, modeling was carried out using the Support Vector Machine classification method and the final process was test evaluation. The number of datasets obtained after going through the cleaning and labeling process is 1,000. The dataset is divided into training data and test data in a ratio of 80:20. The results obtained from the Support Vector Machine method show an accuracy percentage of 80.97%, precision of 81.59% and recall of 79.12. The sentiment test results from the test data were 107 positive and 93 negative
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
Optimizing convolutional neural networks-based ensemble learning for effective herbal leaf disease detection Ginantra, Ni Luh Wiwik Sri Rahayu; Yanti, Christina Purnama; Ariantini, Made Suci
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i2.pp2416-2426

Abstract

This study aims to optimize convolutional neural networks (CNN)-based ensemble learning models to enhance accuracy and stability in detecting herbal leaf diseases. The dataset used in this study is sourced from the “Lontar Taru Pramana” collection, which includes various images of herbal leaves affected by different diseases such as Ancak Bacterial Spot, Dapdap Mosaic Virus, and Kelor Powdery Mildew. Several CNN models, including VGG16, AlexNet, ResNet50, DenseNet121, MobileNetV2, and InceptionV2, were evaluated. Among these, the ensemble models combining VGG16, DenseNet121, and MobileNetV2 were selected due to their superior performance. The ensemble model achieved precision scores of 0.81 for class 1, 0.76 for class 2, and 0.78 for class 3, with corresponding recall scores of 0.8167, 0.74, and 0.7633, and F1-scores of 0.8133, 0.75, and 0.7717 respectively. These results indicate significant improvements in model performance and robustness.
Co-Authors Adnyana, I Ketut Widhi Andika, I Gede Ani Nida’ia Mustafida Ariana, Anak Agung Gde Bagus Brahma, Anak Agung Gede Raka Wahyu Christina Purnama Yanti Dania, Ni Luh Ayu Prima Desak Made Dwi Utami Putra Dirgayusari, Ayu Manik Gede Rasben Dantes Gotama, I Gusti Agung Raditiya Hidayatulloh, Fachmi I Gede Iwan Sudipa I Gusti Ayu Agung Diatri Indradewi I Kadek Budi Sandika I Kadek Dwi Gandika Supartha I Komang Arya Ganda Wiguna I Made Candiasa I Nyoman Widhi Adnyana I Putu Eka Giri Gunawan I Putu Susila Handika I Wayan Dharma Suryawan Ida Bagus Gede Sarasvananda Meinarni, Ni Putu Suci Ni Kadek Ariasih, Ni Kadek Ni Luh Wiwik Sri Rahayu Ginantra Ni Made Ari Darmayanti Pertiwi, Ni Nyoman Sucianta Putra, I Kadek Andika Putu Praba Santika Putu Praba Santika Rajasyah, Alfatino Yohan Sandika, I Kadek Budi Satwika, I Kadek Susila Sephiarini, Ni Putu Satya Sutawan, I Kadek Dwi Wayan Gede Suka Parwita Widiartha, Komang Kurniawan Wiguna, I Komang Arya Ganda Willdahlia, Ayu Gede Wulandari, Dewa Ayu Putri Yuri Prima Fittryani, Yuri Prima