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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 IJOEM: Indonesian Journal of Elearning and Multimedia Jurnal Krisnadana Sabangka Abdimas Jurnal Pengabdian Masyarakat Sabangka Journal of Social Work and Empowerment 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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Techno-Economic Feasibility Analysis of Rooftop Solar Power Plant Implementation Based on Electricity Consumption Patterns and kWh Export Schemes I Made Agus Sudiartha; Putu Sugiartawan; Aniek Suryanti Kusuma
Jurnal Krisnadana Vol 5 No 3 (2026): Jurnal Krisnadana May - July 2026
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/kj2cw117

Abstract

This study aims to analyze the techno-economic feasibility of implementing rooftop solar power plants based on electricity consumption patterns and kWh export schemes. The data used comes from the Kaggle dataset "Surabaya Electric Consumption by Sector" and is processed using Google Colab. The research method uses a descriptive-comparative quantitative approach through electricity consumption pattern analysis, technical simulation of rooftop solar power plants, and a comparison of 65% and 100% kWh export schemes. The results show that the industrial sector has the highest electricity consumption, followed by households and businesses and hotels. Simulations show that increasing solar power plant capacity increases energy production and kWh exports, but nighttime electricity imports still occur because the system does not use batteries. The 100% export scheme provides better economic feasibility than the 65% export scheme, with more optimal savings, ROI, and payback period. The best scenario is a rooftop solar power plant with a capacity of 12.0 kWp with a 100% export scheme, because it produces the highest technical and economic benefits.
Design of a Web-Based Clinical Management Information System at Sri Manik Farma Clinic Aniek Suryanti Kusuma; I Wayan Adi Saputra
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.
An End-to-End Balinese Lontar OCR Framework Using Bayesian-Optimized Multiscale Retinex and MobileNetV3 Putu Ayu Febyanti; I Putu Agus Eka Darma Udayana; Aniek Suryanti Kusuma
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 3 (2026): Article Research July 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i3.16271

Abstract

The preservation of Balinese lontar manuscripts has become increasingly important due to their cultural, historical, and religious significance, while physical degradation such as uneven illumination, faded ink, texture interference, and manuscript aging continues to reduce readability and complicate digital preservation efforts. This study proposes an end-to-end Optical Character Recognition (OCR) framework for degraded Balinese lontar manuscripts by integrating Bayesian-optimized image enhancement, adaptive preprocessing, morphology-based segmentation, domain-specific augmentation, and lightweight deep learning recognition using MobileNetV3. The proposed enhancement pipeline combines Multiscale Retinex, adaptive gamma correction, edge-preserving filtering, and hybrid binarization to improve character visibility under degraded manuscript conditions. Bayesian Optimization with Optuna and Tree-structured Parzen Estimator (TPE) was employed to automatically optimize enhancement parameters according to manuscript quality characteristics. Experimental results demonstrated substantial improvements in manuscript image quality, where Laplacian Variance increased from 306.7596 to 6685.7641, RMS Contrast improved from 28.976 to 83.9085, Michelson Contrast increased from 0.8238 to 1.0, and Ink Ratio Score improved from 0.6096 to 0.9847. The MobileNetV3-based OCR recognition model achieved a test accuracy of 80.52% and a best validation accuracy of 83.78% across 102 Balinese script classes. The proposed framework demonstrates that adaptive enhancement optimization combined with lightweight OCR recognition can provide robust and computationally efficient recognition performance for degraded historical manuscripts while supporting scalable digital preservation and mobile-oriented cultural heritage applications.
Optimizing RAG-Based Academic Chatbot Performance Using Prompt Engineering Adi Surya Artayasa; Aniek Suryanti Kusuma; Putu Sugiartawan
IJOEM: Indonesian Journal of E-learning and Multimedia Vol. 5 No. 3 (2026): Forthcoming Issue
Publisher : CV. Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/ijoem.v5i3.710

Abstract

Background: The increasing use of artificial intelligence in higher education has encouraged institutions to develop academic chatbots that provide faster access to official information. However, Retrieval-Augmented Generation (RAG)-based chatbots still require optimization to ensure accurate, relevant, and context-grounded responses.Aims: This study aims to optimize the performance of a RAG-based academic chatbot by applying zero-shot and few-shot prompt engineering strategies.Methods: A comparative experiment was conducted using 45 in-context academic questions for RAGAS-based quantitative evaluation, while 5 out-of-context questions were used as a qualitative robustness check. The system was developed using Python, LangChain, FAISS, OpenAI, and Streamlit, and evaluated using the RAGAS metrics: faithfulness, answer relevancy, context precision, and context recall.Results: The baseline system achieved an average RAGAS score of 0.8421. After prompt engineering was applied, zero-shot prompting achieved 0.8697, while few-shot prompting achieved 0.8565.Conclusion: Zero-shot prompting produced the best overall performance and showed the strongest improvement in faithfulness and context recall. These findings indicate that clear prompt instructions can improve the reliability of RAG-based academic chatbot responses for academic information services.
Co-Authors -, Muchsini Adi Surya Artayasa 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 Bagus Kusuma Wijaya 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 Gusti Ayu Shinta Dwi Astari 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 Arya Ganda Wiguna I Komang Juliana I Komang Sudarma I Made Agus Sudiartha I Made Candiasa I Made Sutajaya I Made Tegeh I Nyoman Agus Suarya Putra I Nyoman Jayanegara I Nyoman Widhi Adnyana I Putu Agus Eka Darma Udayana, I Putu Agus Eka I Putu Mahesa Kama Artha I Putu Yudiarta I Wayan Adi Saputra I WAYAN SUDIARSA I Wayan Sukra Warpala Ida Bagus Ketut Sukanegara 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 . Made Leo Radhitya 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 Kherismawati Ni Putu Eka Swari Ni Putu Manik Ardiyanti Ni Putu Mitha Laraswati Ni Putu Widantari Suandana Ni Wayan Indah Juliandewi Ni Wayan Jeri Kusuma Dewi Nuarta, I Ketut Pasek Pande, Ni Kadek Nita Noviani Putra, Putu Satria Udyana Putu Ayu Febyanti Putu Gede Surya Cipta Nugraha PUTU SUGIARTAWAN Putu Sugiartawan Sadam Mubaraq Sadiawan, I Wayan Gede Samuel Welson Sunarya, I Wayan Sutarwiyasa, I Ketut W, Welda Wardani, Ni Wayan Wawan Sudata Welda Welda Welda W Willdahlia, Ayu Gede Willdahlia, Ayu Gede