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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) INFORMAL: Informatics Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Mantik Jurnal Scientia JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) Jurnal Mandiri IT Jurnal Minfo Polgan (JMP) Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Journal of Social Work and Empowerment TECHNOVATE KOMET Darma Abdi Karya: Jurnal Pengabdian Kepada Masyarakat
Indra Pratistha
Institut Bisnis Dan Teknologi Indonesia
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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Sistem Pendukung Keputusan Kelompok Pemilihan e-commerce/marketplace menggunakan metode profile matching dan BORDA Pratistha, Indra; Agung Mahadewa, I Putu; Sugiartawan, Putu
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 1 No 1 (2018): September
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (599.996 KB) | DOI: 10.33173/jsikti.9

Abstract

The increasing development of information technology, brings developments to the pattern of life of the Indonesian people, especially the pattern of consumption and shipping of goods. Indonesian society is greatly facilitated and spoiled in getting the desired goods and services. This development was caused by the spread of online shopping providers in Indonesia, which can be accessed via smartphones and computers. Indonesia has a very high number of smartphone users, judging from the number of unique audiences at the end of the second quarter, the data obtained from MMX Multi-platform, June 2017. One of the models used in this study is the Profile Matching method, the method can overcome problems ranking by giving weights based on matching two profiles examined on the criteria of each cell phone. The criteria obtained by the user will be the profile value which is then matched with the conformity profile provided by DM. This study uses three decision makers, including economists, IT experts, and the public. To combine the three decisions used the BORDA method approach. The BORDA method is a voting method that can resolve group decision making, wherein its application each decision maker (DM) provides a rating based on the alternative choices available. Furthermore, this research will use the approach of profile matching and BORDA methods in choosing the best marketplace. The results showed that Sophie's marketplace was ranked first.
Sistem Keamanan Data Text Dengan Data Encryption Standard (DES) dan Metode Least Significant Bit (LSB) Pratistha, Indra; Prakoso, Paholo Iman
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 1 No 2 (2018): December
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (656.235 KB) | DOI: 10.33173/jsikti.16

Abstract

Abstract Current information can be delivered quickly without knowing the geographical boundaries using the internet. However, the information transmitted can be intercepted by the middle of the road which is not desired, then the security of the data actually becomes a very important issue. The development of computer systems and networks and the interconnection through the Internet has increased, of course, require data security and reliable message in order to avoid the attack. To secure internet data or message network necessary cryptographic encryption methods, one method of data encryption that there is a method of data encryption standard (DES) and subsequently inserted into the Lakeside digital images (steganography) using the method of least significant bit (LSB).
Decision Model for Best Contraceptive Technique Recommendation Based on Patient's Ideal Profile Hugo, Veronika Novia; Sudipa, I Gede Iwan; Libraeni, Luh Gede Bevi; Pratistha, Indra; Atmaja, Ketut Jaya
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15377

Abstract

Choosing the right contraceptive method is essential to support the success of family planning programs. Many patients still choose methods without considering their medical conditions, which can lead to failure or side effects. This study designed a decision-making model based on Profile Matching to recommend contraceptive methods according to the patient’s ideal profile. The dataset was obtained from Faskes Level 1 Udayana Denpasar. Validation was conducted through discussions with midwives as experts, referring to the KLOP KB Wheel as the standard issued by the WHO. The evaluation results show a high level of agreement between the model’s recommendations and expert judgments, indicating that the model provides more objective and easily understood recommendations compared to manual approaches.
SVM-Based Pediatric Disease Classification Model from the Balinese Lontar Usada Rare Manuscript Bhawanaputra, I Gusti Made Ngurah Ari; Sudipa, I Gede Iwan; Meinarni, Ni Putu Suci; Aristamy, I Gusti Ayu Agung Mas; Pratistha, Indra
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15508

Abstract

Lontar Usada Rare is a traditional Balinese manuscript containing pediatric medical knowledge based on local wisdom, yet its narrative format limits accessibility and utilization in modern contexts, while its physical fragility threatens long-term preservation. This study aims to develop a pediatric disease classification model using a Support Vector Machine (SVM) combined with Term Frequency–Inverse Document Frequency (TF-IDF) weighting to support the digitalization of Balinese traditional medicine. A total of 422 data samples were collected through expert interviews and manuscript analysis, covering symptoms, disease types, herbal ingredients, and treatment procedures. The research stages included text preprocessing (cleansing, tokenizing, stopword removal, stemming), manual labeling into 35 disease classes, and model evaluation using five train–test split ratios (80:20 to 60:40) with variations of the complexity parameter C (0.5, 1, 10, 100, 1000). The best performance was achieved using C=10 with an 80:20 ratio, resulting in 87.06% accuracy, 91.55% precision, 87.06% recall, and an F1-score of 87.96%. Confusion matrix analysis showed strong classification performance for most classes, although minority classes with overlapping symptoms exhibited misclassification. Overall, the TF-IDF and linear SVM combination effectively classifies pediatric disease symptoms from Lontar Usada Rare and contributes to the preservation and digital transformation of Balinese traditional medical knowledge for potential modern healthcare applications.  
Meningkatkan Literasi Numerisasi Siswa Literasi Media Pembelajaran Nilai Tempat Dan Bangun Datar SD Pelangi Jimbaran Ginantra, Ni Luh Wiwik Sri Rahayu; Dewi, Ni Wayan Jeri Kusuma; Indra Pratistha
Darma Abdi Karya Vol. 4 No. 2 (2025): Darma Abdi Karya: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM POLITEKNIK LP3I

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/darmaabdikarya.v4i2.2773

Abstract

Numeracy literacy skills are a fundamental foundation in mathematics learning at the elementary school level, particularly in topics such as place value and plane geometry. However, initial observations at SD Pelangi Jimbaran indicate that fifth-grade students still experience difficulties in understanding numerical concepts both conceptually and contextually. Learning tends to be procedural and oriented toward rote memorization, with limited support from interactive, technology-based learning media. This community service activity aims to enhance students’ understanding and learning interest through the development of interactive learning media based on Canva. The implementation methods include observation and needs analysis, media design, production and pilot testing, as well as evaluation and dissemination. The media were developed in the form of educational visual presentations and digital activity worksheets that present concrete and contextual visualizations of place value and plane geometry. The results of the implementation show increased student engagement, improved conceptual understanding, and positive responses from partner teachers. The program also enhances teachers’ capacity in utilizing digital media and strengthens collaboration between higher education institutions and elementary schools. Thus, Canva-based learning media have proven to be an effective innovative solution for strengthening numeracy literacy in elementary schools
A Profile Matching-Based Decision Support Framework for Selecting Generative AI Tools in Higher Education Pratistha, Indra; Anggaswara, Aditha Diva; Saputra, Gusti Bagus Arya; Krisna, I Gede Anugrah Adi; Sudipa, I Gede Iwan
TECHNOVATE: Journal of Information Technology and Strategic Innovation Management Vol. 3 No. 1 (2026): January - February 2026
Publisher : PT.KARYA GEMAH RIPAH

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

Abstract

This study aims to develop a decision-making model for determining the best AI application, specifically for students, in selecting the best alternative based on various criteria. This study used the Profile Matching Method to rank alternatives. Data was collected from students through an online survey, with criteria including ease of use (C1), task completion support (C2), creativity and idea support (C3), output quality and accuracy (C4), flexibility of use (C5), and access cost (C6). A decision-making analysis was conducted to determine the application that best suited students' preferences and identified the factors that most influenced their choice. The results showed the ChatGPT application alternative (A1) as the best student choice.
Penerapan Aplikasi Penyewaan Kendaraan Berbasis Teknologi Informasi Sebagai Upaya Peningkatan Efisiensi Operasional Pada Taman Kusuma Rental Indra Pratistha; Ni Wayan Jeri Kusumadewi; Adi Panca Saputra Iskandar; I Gede Nanda Fredika Natalegawa; I Gede Iwan Sudipa
Jurnal KOMET Vol 3 No 1 (2026): Jurnal Komet: Kolaborasi Masyarakat Berbasis Teknologi : Volume 2 Nomor 3, Juni-J
Publisher : Yayasan Sinergi Widya Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70103/komet.v3i1.116

Abstract

Penelitian ini bertujuan menerapkan aplikasi penyewaan kendaraan berbasis teknologi informasi sebagai upaya meningkatkan efisiensi operasional pada Taman Kusuma Rental melalui digitalisasi pengelolaan data kendaraan, data pelanggan, transaksi penyewaan, pengembalian kendaraan, data servis, data pajak, pengguna, serta penyusunan laporan operasional secara terintegrasi. Metode penelitian menggunakan pendekatan deskriptif kualitatif melalui kegiatan Pengabdian kepada Masyarakat dengan teknik pengumpulan data berupa observasi, wawancara, dan dokumentasi. Pengembangan aplikasi dilakukan menggunakan framework Laravel, bahasa pemrograman PHP, basis data MySQL, web server XAMPP, serta editor Visual Studio Code sebagai perangkat lunak pengembangan. Implementasi sistem dilakukan melalui tahapan analisis kebutuhan, pengembangan aplikasi, pelatihan pengguna, dan evaluasi hasil implementasi. Hasil penelitian menunjukkan bahwa aplikasi berhasil diterapkan dan mampu mengintegrasikan pengelolaan data kendaraan, pelanggan, penyewaan, pengembalian, servis, pajak kendaraan, pengguna, serta diskon dalam satu sistem berbasis website sehingga proses administrasi menjadi lebih cepat, akurat, terorganisasi, dan mempermudah pencarian data maupun penyusunan laporan operasional. Selain itu, sistem mampu mengurangi potensi kesalahan pencatatan, meningkatkan keamanan penyimpanan data, mempercepat proses pelayanan kepada pelanggan, serta memudahkan pemilik usaha dalam memantau kondisi armada dan aktivitas penyewaan secara real-time. Implikasi penelitian menunjukkan bahwa penerapan sistem informasi berbasis website mendukung transformasi digital pada usaha penyewaan kendaraan, meningkatkan efisiensi operasional, keamanan penyimpanan data, kualitas pelayanan kepada pelanggan, serta menjadi alternatif solusi bagi usaha penyewaan kendaraan yang masih menggunakan sistem administrasi manual.
Uji Kinerja Model Generative AI Menggunakan Dataset Informasi Kampus Melalui Sistem Otomatisai n8n Sylbila Najla Sobia Naim; I Kadek Dwi Gandika Supartha; Ayu Manik Dirgayusari; I Putu Agus Eka Darma Udayana; Indra Pratistha
Jurnal Minfo Polgan Vol. 15 No. 2 (2026): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v15i2.16268

Abstract

Perkembangan Generative Artificial Intelligence (AI) mendorong pemanfaatan Large Language Model (LLM) pada sistem chatbot untuk meningkatkan kualitas layanan informasi digital. Namun, model Generative AI masih memiliki keterbatasan berupa hallucination, ketidakmampuan menghasilkan jawaban berbasis data spesifik secara konsisten, serta dipengaruhi oleh performa perangkat keras yang digunakan. Penelitian ini bertujuan untuk menganalisis performa beberapa model Generative AI pada chatbot informasi kampus berbasis Retrieval-Augmented Generation (RAG) dengan mempertimbangkan pengaruh spesifikasi perangkat keras terhadap waktu respons dan efisiensi jawaban. Metode penelitian yang digunakan adalah eksperimen komparatif dengan pendekatan kuantitatif menggunakan tiga model Generative AI, yaitu Qwen3-32b, GPT-OSS 20b, dan Llama 3.1 8b. Sistem chatbot diintegrasikan menggunakan workflow automation n8n, Pinecone Vector Store, dan layanan Groq API. Evaluasi dilakukan menggunakan Exact Match (EM), ROUGE Score, serta User Acceptance Test (UAT) yang melibatkan 11 mahasiswa sebagai responden. Hasil penelitian menunjukkan bahwa seluruh model menghasilkan nilai EM sebesar 0% karena jawaban berbentuk variasi parafrase. Pada pengujian ROUGE, model Llama 3.1 8b memperoleh performa terbaik dengan nilai ROUGE-1 sebesar 69%–72% dan ROUGE-L sebesar 61%–66%. GPT-OSS 20b memperoleh tingkat kepuasan pengguna tertinggi dan waktu respons tercepat, sedangkan Qwen3-32b unggul pada kejelasan jawaban. Spesifikasi perangkat keras terbukti mempengaruhi performa chatbot perangkat dengan CPU, RAM, dan GPU lebih tinggi mampu menghasilkan jawaban lebih cepat dan efisien. Berdasarkan hasil penelitian, setiap model memiliki karakteristik performa yang berbeda sehingga pemilihan model dapat disesuaikan dengan kebutuhan implementasi sistem.
Co-Authors Adi Panca Saputra Iskandar Agung Mahadewa, I Putu Anggaswara, Aditha Diva Aniek Suryanti Kusuma Aristamy, I Gusti Ayu Agung Mas Aristana, Made Dona Wahyu Atmaja, Ketut Jaya Ayu Manik Dirgayusari Bhawanaputra, I Gusti Made Ngurah Ari Devi Valentino Waas Dewa Ayu Putri Wulandari Dewi, Ni Luh Putu Berliana Dewi, Ni Wayan Jeri Kusuma Dirgayusari, Ayu Manik Gede Pasek Putra Adnyana Yasa Hugo, Veronika Novia I Dewa Made Krishna Muku I Gede Andika I Gede Iwan Sudipa I Gede Nanda Fredika Natalegawa I Kadek Dwi Gandika Supartha I Nyoman Agus Suarya Putra I Nyoman Alit Arsana I Putu Agus Eka Darma Udayana, I Putu Agus Eka I WAYAN SUDIARSA Iskandar, Adi Panca Saputra Jaya, I Made Krisna Krisna, I Gede Anugrah Adi Lanang, Eugenius Gene Rangga Libraeni, Luh Gede Bevi Meinarni, Ni Putu Suci Ni Luh Wiwik Sri Rahayu Ginantra Ni Wayan Jeri Kusumadewi Prakoso, Paholo Iman PUTU SUGIARTAWAN Retantyo Wardoyo Saputra, Gusti Bagus Arya Sylbila Najla Sobia Naim Wardani, Ni Wayan Widiari, Ni Putu Diva Septa Willdahlia, Ayu Gede