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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Telematika : Jurnal Informatika dan Teknologi Informasi INFORMAL: Informatics Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JUTIK : Jurnal Teknologi Informasi dan Komputer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal EDUTECH Undiksha Jurnal Mantik UTAMAX : Journal of Ultimate Research and Trends in Education Indonesian Journal of Data and Science Jurnal Scientia JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) PROFICIO: Jurnal Pengabdian Masyarakat Cendikia : Media Jurnal Ilmiah Pendidikan JURNAL ILMIAH GLOBAL EDUCATION JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) Jurnal Pengabdian Kepada Masyarakat Abdi Nusa Parta: Jurnal Pengabdian Kepada Masyarakat Jurnal Puan Indonesia Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Jurnal Penjaminan Mutu Sabangka Abdimas Jurnal Pengabdian Masyarakat Sabangka KOMET Jurnal ilmiah teknologi informasi Asia Educare: Journal Educational and Multimedia
Aniek Suryanti Kusuma
Institut Bisnis Dan Teknologi Indonesia
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Design of a Web-Based Clinical Management Information System at Sri Manik Farma Clinic Kusuma, Aniek Suryanti; Saputra, I Wayan Adi
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 3 No 2 (2020): December
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33173/jsikti.93

Abstract

Peningkatan pemanfaatan teknologi informasi di bidang kesehatan menuntut adanya sistem yang terintegrasi untuk mengelola proses klinis dan administratif, khususnya pada klinik berskala kecil dan menengah. Banyak klinik masih menerapkan pengelolaan informasi secara manual atau terpisah, yang menyebabkan duplikasi data, keterbatasan visibilitas operasional, serta alur kerja yang kurang efisien. Penelitian ini dilatarbelakangi oleh kebutuhan akan perancangan sistem yang terstruktur dan terintegrasi untuk mendukung aktivitas manajemen klinik. Penelitian ini mengusulkan perancangan sistem informasi manajemen klinik berbasis web pada Klinik Sri Manik Farma yang mengintegrasikan pengelolaan data pasien, data dokter, layanan klinis, persediaan obat, kunjungan medis, dan proses penagihan dalam satu platform terpadu. Sistem dirancang menggunakan pendekatan basis data terpusat dengan alur kerja berbasis administrator untuk menjaga konsistensi data dan kemudahan pengelolaan. Kontribusi penelitian ini terletak pada penyediaan rancangan sistem yang merepresentasikan alur kerja klinis secara menyeluruh serta menghubungkan proses klinis dengan aktivitas administratif dan keuangan. Evaluasi sistem dilakukan melalui validasi fungsional dan analisis kegunaan yang menitikberatkan pada ketepatan operasi CRUD, integrasi alur kerja, dan kejelasan interaksi pengguna. Hasil penelitian menunjukkan bahwa rancangan sistem yang diusulkan mampu mendukung pengelolaan data secara terstruktur, mengurangi redundansi data, dan meningkatkan transparansi operasional. Pengembangan selanjutnya disarankan untuk menambahkan akses multi-peran, peningkatan mekanisme keamanan, serta fitur analitik lanjutan guna mendukung pengambilan keputusan manajerial.
Sistem Informasi Kalkulasi Bahan Baku Berbasis Mobile pada PT. Sari Burger Indonesia Welda, Welda; Kusuma, Aniek Suryanti; Nuarta, I Ketut Pasek
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 3 No 4 (2021): June
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1404.744 KB) | DOI: 10.33173/jsikti.113

Abstract

PT. Sari Burger Indonesia, with one of its branches, is located at Jl. Teuku Umar, Level 21 Shopping Mall, Denpasar Bali. In realizing the company's goals by simplifying the process of calculating raw materials to be purchased by the company, there is a manager or, more precisely, an assistant manager in charge of calculating the raw materials to be purchased. This system is made using Data Flow Diagrams (DFD) design; this system is made based on Android, using android studio software, and with the help of Firebase, which has many readily available features, besides that this system uses the SMA (Single Moving Average) method. , this method is used during the forecasting calculation process. With this system, the goal of calculating the number of raw materials to be purchased becomes easier. The calculation process that was previously manual can now be easier to use a computerized system based on Android because the data inputted will be stored in the system in performing calculations. In addition, calculations that have been saved can also be downloaded using a file with a pdf extension. The system can also forecast the remaining stock, which will be used in estimating the amount of stock remaining next month.
Evaluation of the Career Guidance Program with the Context, Input, Process, and Product (CIPP) Model of the Career Center Field at the Indonesian Institute of Business and Technology INSTIKI Ayu Gede Willdahlia; Aniek Suryanti Kusuma; Ni Kadek Nita Noviani Pande; Desak Made Dwi Utami Putra
Educare: Journal Educational and Multimedia Vol. 2 No. 02 (2024): Educare: Journal Educational and Multimedia, October 2024
Publisher : Sean Institute

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

Abstract

This study aims to evaluate the educational program using the CIPP (Context, Input, Process, Product) model to assess the career services provided by the Career Center at INSTIKI and to evaluate the effectiveness of these services. The effectiveness of career counseling services is measured by how well the program's objectives have been achieved. The research uses a qualitative approach with a descriptive-analytic method, applying the CIPP evaluation model to assess each component: Context, Input, Process, and Product in the implementation of the career counseling program. The data sources for this study are the Career Center and alumni of INSTIKI. Data collection techniques involved interviews and observations with the Career Center, while additional data were gathered through questionnaires and documentation. The collected data were analyzed using triangulation techniques. The research findings indicate that the implementation of career planning and evaluation, career development, graduate placement, tracer studies, language services, and language development have a positive impact on the career advancement of graduates.
Comparison of Naïve Bayes and Random Forest in Sentiment Analysis of State-Owned Banks Management by Danantara on X and YouTubeComparison of Naïve Bayes and Random Forest in Sentiment Analysis of State-Owned Banks Management by Danantara on X and YouTube Ni Wayan Indah Juliandewi; Aniek Suryanti Kusuma; Kompiang Martina Dinata Putri; I Gusti Agung Indrawan; I Gusti Ayu Agung Mas Aristamy
Indonesian Journal of Data and Science Vol. 6 No. 3 (2025): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v6i3.366

Abstract

The advancement of digital technology has increased public engagement in expressing opinions and responding to issues on social media platforms such as X and YouTube. A prominent topic of recent public debate concerns Danantara's management of state-owned banks. This study analyzes public sentiment regarding this issue by comparing the performance of the Naïve Bayes and Random Forest classification methods. A dataset comprising 25,565 entries was collected from both platforms between January 2025 and May 2025. The data underwent text pre-processing, labeling with the InSet Lexicon, and feature weighting using term frequency-inverse document frequency (TF-IDF). The dataset was split at 80:20, and class imbalance was addressed using the Synthetic Minority Over-sampling Technique (SMOTE) prior to classification. Model performance was evaluated using accuracy, precision, recall, and F1-score metrics. The results demonstrate that Random Forest performed stably, achieving 84% accuracy both before and after sampling. In contrast, Naïve Bayes achieved 74% accuracy before sampling, which increased to 79% after sampling. These findings suggest that Random Forest is more robust to data imbalance than Naïve Bayes, which is more susceptible to bias toward the majority class.
Comparison of Naïve Bayes and SVM in Sentiment Analysis of ChatGPT for Learning on X and YouTube Ni Putu Eka Swari; Ni Wayan Jeri Kusuma Dewi; Ni Ketut Utami Nilawati; Aniek Suryanti Kusuma; Ni Luh Wiwik Sri Rahayu Ginantra
Indonesian Journal of Data and Science Vol. 7 No. 1 (2026): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v7i1.382

Abstract

The rapid development of artificial intelligence technology has encouraged users to actively express opinions on social media platforms such as X and YouTube, including discussions on the use of ChatGPT as a learning support tool. This study aims to analyze public sentiment toward the use of ChatGPT in learning contexts by comparing the performance of the Naïve Bayes and Support Vector Machine (SVM) classification methods. A total of 5,500 comments from platform X and 5,543 comments from YouTube were collected through a crawling process using relevant keywords during the period from January 2023 to December 2025. The data were preprocessed and labeled into three sentiment classes (positive, negative, and neutral) using a lexicon-based approach with the INSET Lexicon. Feature extraction was conducted using the Term Frequency–Inverse Document Frequency (TF-IDF) method, and the dataset was divided into training and testing sets with an 80:20 ratio. Model performance was evaluated using accuracy, precision, recall, and F1-score. The results show that the SVM classifier consistently outperformed the Naïve Bayes method on both platforms. On platform X, SVM achieved an accuracy of 76.67%, while Naïve Bayes obtained 74.60%. On YouTube, SVM achieved an accuracy of 73.10%, significantly higher than Naïve Bayes at 62.04%. These findings indicate that SVM is more effective for sentiment analysis of social media data related to the use of ChatGPT in learning environments
Transformation of Electronics Learning in Higher Education through Augmented Reality to Improve Student Achievement Anak Agung Gde Ekayana; Aniek Suryanti Kusuma; Ni Nyoman Parwati
Jurnal Edutech Undiksha Vol. 13 No. 2 (2025): December
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jeu.v13i2.102904

Abstract

Electronics learning still faces challenges due to the dominance of lecture-based methods, leading to low learning outcomes. This study develops and evaluates a smartphone-based AR medium to improve achievement through interactive and immersive learning experiences. This research approach is based on the development model presented by Borg and Gall, but it has been tailored to the demands of the study to cover only five essential stages. The research design uses a one-group pretest-posttest model involving 30 students as participants. Data collection using questionnaires and tests. Analysis methods using validity, N-Gain test and T-test. The test results show that the media has a high level of validity, with a score of 0.88 from subject matter experts and 0.84 from media experts. Limited trial findings show that this learning medium is highly practical, with an achievement rate of 82.07%.  This percentage grew to 85.67% throughout the full implementation stage, indicating that the usage of this medium becomes more efficient and follows the learning goals as it is deployed more broadly. The effectiveness test using t-test analysis showed a statistically significant improvement in learning outcomes (p = 0.000), with an N-Gain score of 0.58, which is in the moderate category. These findings indicate that AR learning media can improve student engagement, understanding, and performance in electronics learning. The study is limited to electronics courses, with unresolved issues in device compatibility and digital literacy. Future research should expand AR use to improve long-term retention.
Educational Chatbot Based on Educational Technology in Improving Student Understanding of Algorithms and Programming Courses Aniek Suryanti Kusuma; Anak Agung Gde Ekayana; Desak Made Dwi Utami Putra
Jurnal Edutech Undiksha Vol. 13 No. 2 (2025): December
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jeu.v13i2.104417

Abstract

The advancement of educational technology has driven the integration of Artificial Intelligence (AI) into learning processes; however, Algorithm and Programming courses remain challenging for students due to their abstract nature and the demands of logical thinking and problem-solving skills. This study aims to develop and evaluate the effectiveness of an AI-based educational chatbot in improving students’ understanding and engagement. The research employed an experimental method with a pre-test and post-test design involving two classes of students as research subjects. Data were collected through achievement tests designed to measure conceptual understanding, algorithmic thinking, and problem-solving abilities. Data analysis was conducted using paired sample t-tests to examine differences in learning outcomes and N-Gain analysis to determine the level of learning effectiveness. The results indicate a significant improvement in students’ learning outcomes after the use of the chatbot, with learning gains categorized as high in both groups. These findings demonstrate that AI-based chatbots are effective in enhancing conceptual understanding, algorithmic thinking skills, and student motivation. Therefore, educational chatbots have important implications as innovative solutions for creating adaptive, interactive, and student-centered learning environments in higher education.
TRANSFORMASI PEMBELAJARAN IPA MELALUI MEDIA INTERAKTIF PENGENALAN TATA SURYA PADA SD PELANGI JIMBARAN Welda W; Aniek Suryanti Kusuma
Jurnal Pengabdian Masyarakat FKIP UTP Vol 7 No 2 (2026): PROFICIO : Jurnal Abdimas FKIP UTP
Publisher : PROFICIO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36728/.v7i2.6541

Abstract

Pembelajaran IPA di tingkat sekolah dasar masih banyak bertumpu pada metode ceramah dan buku teks sehingga fenomena abstrak seperti pergerakan planet sulit dipahami siswa. Kegiatan pengabdian ini merespons kondisi di SD Pelangi Jimbaran yang menunjukkan rendahnya pemahaman konsep tata surya, lemahnya keterlibatan siswa, serta menurunnya motivasi belajar sains. Tujuan kegiatan adalah mentransformasi pembelajaran IPA melalui pengembangan dan implementasi aplikasi media interaktif pengenalan tata surya. Pendekatan yang digunakan adalah kualitatif dengan empat tahapan, yaitu analisis kebutuhan, pengembangan media, implementasi melalui pelatihan guru dan siswa, serta evaluasi. Data dikumpulkan melalui observasi kelas, wawancara semi-terstruktur, lembar kerja pemahaman, dan dokumentasi. Hasil menunjukkan bahwa media interaktif mengubah pola interaksi kelas dari mendengarkan pasif menjadi eksplorasi aktif, meningkatkan rata-rata pemahaman dari 34,6 persen menjadi 82 persen, serta memperkuat kepercayaan diri guru dalam memanfaatkan media digital. Kegiatan ini berkontribusi pada model pembelajaran sains kontekstual berbasis teknologi yang dapat diadopsi oleh sekolah dasar lain.
Co-Authors -, Muchsini Afrilawati, Retika Anak Agung Gde Ekayana Aristamy, I Gusti Ayu Agung Mas Aryati, Komang Sri Aryawan, I Made Gitra Ayu Gede Willdahlia Ayu Gede Willdahlia Ayu Gede Willdahlia Ayu Gede Willdahlia Ayu Gede Willdahlia Ayu Gede Willdahlia Ayu Manik Dirgayusari Batubulan, Kadek Suarjuna Bevi Libraeni, Luh Gede Desak Dwi Utami Putra Desak Dwi Utami Putra Desak Made Dwi Utami Putra Desak Made Dwi Utami Putra Desak Made Dwi Utami Putra Desak Made Dwi Utami Putra Dewi, Ni Kadek Feby Puspita Dewi, Ni Wayan Jeri Kusuma Dirgayusari, Ayu Manik Eddy Hartono Gede Surya Mahendra I Dewa Made Krishna Muku I Gede Andika I Gede Iwan Sudipa I Gede Made Yudi Antara I Gede Ratnaya I Gede Sujana Eka Putra, I Gede Sujana Eka I Gusti Agung Indrawan I Kadek Budi Sandika I Kadek Dwi Gandika Supartha I Kadek Dwi Gandika Supartha I Ketut Setiawan I Komang Juliana I Komang Sudarma I Made Candiasa I Made Sutajaya I Made Tegeh I Nyoman Agus Suarya Putra I Nyoman Jayanegara I Putu Yudiarta I Wayan Adi Saputra, I Wayan Adi I WAYAN SUDIARSA I Wayan Sukra Warpala Ika Amellia Rizanty Indra Pratistha Junantara, Argi Ketut Agustini Komang Sri Aryati Kompiang Martina Dinata Putri Kusuma Dewi, Ni Wayan Jeri M.Pd S.T. S.Pd. I Gde Wawan Sudatha . Mr Welda Muchsini - Ni Kadek Nita Noviani Pande Ni Kadek Nita Noviani Pande Ni Kadek Nita Noviani Pande Ni Kadek Nita Noviani Pande Ni Kadek Nita Noviani Pande Ni Kadek Nita Noviani Pande Ni Ketut Utami Nilawati Ni Luh Wiwik Sri Rahayu Ginantra Ni Made Mila Rosa Desmayani* Ni Made Mila Rosa Desmayani, Ni Made Mila Rosa Ni Nyoman Parwati Ni Nyoman Parwati Ni Putu Eka Swari Ni Putu Manik Ardiyanti Ni Putu Mitha Laraswati Ni Wayan Indah Juliandewi Ni Wayan Jeri Kusuma Dewi Nuarta, I Ketut Pasek Pande, Ni Kadek Nita Noviani Putra, Putu Satria Udyana Putu Gede Surya Cipta Nugraha PUTU SUGIARTAWAN Sadam Mubaraq Sadiawan, I Wayan Gede Sunarya, I Wayan Sutarwiyasa, I Ketut W, Welda Wardani, Ni Wayan Wawan Sudata Welda Welda Welda W Willdahlia, Ayu Gede Willdahlia, Ayu Gede