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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) INFORMAL: Informatics Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JUTIK : Jurnal Teknologi Informasi dan Komputer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Mantik UTAMAX : Journal of Ultimate Research and Trends in Education Indonesian Journal of Data and Science JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) 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

Aniek Suryanti Kusuma, Aniek Suryanti

Institut Bisnis Dan Teknologi Indonesia

Author-ID : 630431

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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Articles

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Sistem Pendukung Keputusan Pemilihan Saham BUMN dengan Model AHP Kusuma, Aniek Suryanti; Aryawan, I Made Gitra
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 1 No 4 (2019): June
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Investing or investing money in the hope of generating long-term profits and in the near future, can be done by investing in stocks. Stock investment in the Indonesia Stock Exchange which is one of the investments with high profit levels. The profit of stock investment is greatly influenced by the selection of the right stocks in a portfolio. However, if one chooses shares in a portfolio, there may be a loss. To avoid these losses investors usually buy liquid BUMN shares on the stock market. The problem that reappears is that not all SOE shares produce significant and sometimes stagnant profits. Analyzing the uncertainty of a stock, investors can involve the stock selection process by using a decision support system. Stock selection with SPK can produce a stock portfolio with a higher level of profit compared to the results of individual decision making. Implementation of the SPK stock selection uses two economic approaches, namely fundamental analysis and technical analysis. Fundamental analysis uses financial ratio data which has a significant influence on a company's stock development. This study uses the AHP method to accommodate the results of individual stock decision making. AHP method is used to rank the best alternative from a number of alternatives. This research produces individual stock ranking which can be used as a stock selection recommendation for investors.

Optimasi Pendistribusian Kelas Pada Dosen di STMIK STIKOM Indonesia Menggunakan Algoritma Genetika Kusuma, Aniek Suryanti; Aryati, Komang Sri
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 2 No 1 (2019): September
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

The stage of class scheduling starts from scheduling courses in classes, then distributing the class to lecturers. The process of distributing classes to lecturers becomes an obstacle for the STMIK STIKOM Indonesia academic body because the academic body must adjust the existing class with the lecturer who is interested in it as well as the lecturer chosen to support a class so that it does not have classes that have a time conflict. One method for solving these problems is by using genetic algorithms that work by generating a number of random solutions and then processing the collection of solutions in a genetic process. There are eight genetic algorithm procedures, which are random chromosome generation procedures, chromosome repair to validate chromosomes from their limits, fitness function to calculate the feasibility of a solution, crossover, mutation, child repair and elitism. The output of this research is in the form of an analysis and determination of the system requirements that must exist. In addition, it produces a trial report on the effect of genetic parameters to determine the effect of changes in the value of genetic parameters on the fitness value and the time used to carry out the distribution process.

Sistem Informasi Pelayanan Jasa Pencucian Mobil Dan Motor Pada Max Car Wash Berbasis Web Kusuma, Aniek Suryanti; Sadiawan, I Wayan Gede
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 2 No 4 (2020): June
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Service is the provision of a performance or invisible action from one side to another side. One of the companies that focus on services is Max Car Wash, Max Car Wash is a company engaged in car wash and motorcycles services located at Jalan Raya Batubulan, Sukawati, Gianyar, Bali. Issues contained among the recording transactions are still on a note and ledger, the distribution of commissions to the staff is not maximum yet. In addition, the service to customers is less satisfactory seen from the behavior of some existing customers that can’t wait for his vehicle in the wash. Based on these problems, Max Car Wash needs a service system that is expected to assist in serving the process of payment transactions and recording commission staff each workmanship. In this system is also available queue booking feature, where customers can make a booking queue first. This study has been successfully built an information system service car and motor wash. This system aims to help the company by improving customer service and provide ease in obtaining the reports desired company.

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

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)

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.

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; Kusuma, Aniek Suryanti; Putri, Kompiang Martina Dinata; Indrawan, I Gusti Agung; Aristamy, I Gusti Ayu Agung Mas
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

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 Swari, Ni Putu Eka; Kusuma Dewi, Ni Wayan Jeri; Nilawati, Ni Ketut Utami; Kusuma, Aniek Suryanti; Ginantra , Ni Luh Wiwik Sri Rahayu
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

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

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 Manik Dirgayusari Batubulan, Kadek Suarjuna Bevi Libraeni, Luh Gede Desak 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 Ginantra , Ni Luh Wiwik Sri Rahayu 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 Made Candiasa I Made Sutajaya I Nyoman Agus Suarya Putra I Nyoman Jayanegara I Putu Yudiarta I Wayan Adi Saputra, I Wayan Adi I WAYAN SUDIARSA Ika Amellia Rizanty Indra Pratistha Junantara, Argi Komang Sri Aryati Kompiang Martina Dinata Putri Kusuma Dewi, Ni Wayan Jeri Mr Welda Muchsini - Ni Kadek Nita Noviani Pande Ni Ketut Utami Nilawati Ni Made Mila Rosa Desmayani* Ni Made Mila Rosa Desmayani, Ni Made Mila Rosa Ni Putu Manik Ardiyanti Ni Putu Mitha Laraswati Ni Wayan Indah Juliandewi 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 Swari, Ni Putu Eka W, Welda Wardani, Ni Wayan Welda Willdahlia, Ayu Gede Willdahlia, Ayu Gede

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