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All Journal Format : Jurnal Imiah Teknik Informatika Jurnal Ilmiah FIFO JURNAL PENDIDIKAN TAMBUSAI JSAI (Journal Scientific and Applied Informatics) Building of Informatics, Technology and Science Jurnal Teknik Informatika (JUTIF) Bulletin of Data Science Batara Wisnu : Indonesian Journal of Community Services Journal of Computing and Informatics Research Journal Of Technology and Information System (J-TIS) IPSIKOM
Sah, Andrian
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mathematics Social Sciences

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Sistem Informasi Akademik Sekolah di SMP Advent Argapura Sah, Andrian; Jusmawati, Jusmawati
Jurnal Pendidikan Tambusai Vol. 8 No. 2 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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

Abstract

Teknologi informasi (TI) telah menjadi salah satu pengembangan penting di era globalisasi. Kebutuhan akan teknologi dan informasi menjadi hal yang sangat vital dalam segala aspek kehidupan manusia. Permintaan akan teknologi dan informasi ini muncul karena peran dan fungsinya yang membantu manusia dalam menyelesaikan pekerjaan. Organisasi dan perusahaan membutuhkan informasi yang tepat dan akurat untuk mendukung pengambilan keputusan yang berkelanjutan. Dalam sektor pendidikan, terutama di lembaga/swasta seperti SMP Advent Argapura, sistem yang dapat memproses data dan informasi dengan cepat dan mudah sangat penting. Untuk mengatasi masalah tersebut, diperlukan penggunaan sistem informasi akademik. Sistem ini akan memudahkan pengelolaan data akademik, meningkatkan efektivitas pengambilan keputusan, mengurangi kesalahan manusia, dan memungkinkan integrasi dengan sistem lainnya. Oleh karena itu, dalam penelitian ini akan dikaji implementasi "Sistem Informasi Akademik Sekolah di SMP Advent Argapura Jayapura".
SISTEM PAKAR DIAGNOSIS PENYAKIT KULIT HEWAN PELIHARAAN MENGGUNAKAN PENDEKATAN DEMPSTER-SHAFER Sah, Andrian; Septilia, Tiara Indah; Rasna, Rasna; Nurhayati, Siti; Jusmawati, Jusmawati; Tonggiroh, Mursalim; Widiyantoro, Muh. Riandi; Hakim, Jamaludin
Insan Pembangunan Sistem Informasi dan Komputer (IPSIKOM) Vol 12, No 2 (2024): DESEMBER 2024
Publisher : Universitas Insan Pembangunan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58217/ipsikom.v12i2.316

Abstract

Penyakit kulit pada hewan peliharaan merupakan permasalahan yang kompleks dengan berbagai jenis dan gejala yang sering kali sulit didiagnosis secara manual. Tantangan seperti kemiripan gejala antar penyakit, ketidakpastian data, dan biaya pengobatan yang tinggi menjadi hambatan bagi pemilik hewan dalam memberikan perawatan yang tepat. Oleh karena itu, tujuannya penelitian ini dilakukan yaitu mengembangkan sistem pakar berbasis metode Dempster-Shafer yang dirancang untuk menangani ketidakpastian dalam proses diagnosis. Sistem ini memungkinkan penggabungan informasi dari berbagai gejala yang diinput oleh pengguna untuk menghasilkan tingkat keyakinan yang akurat terhadap jenis penyakit tertentu. Sistem pakar yang dikembangkan berbasis website sehingga mudah diakses kapan saja dan di mana saja oleh pengguna. Sistem ini dirancang untuk membantu pemilik hewan mengenali gejala penyakit, mempercepat proses konsultasi, serta memberikan panduan awal terkait langkah perawatan yang diperlukan. Berdasarkan hasil pengujian menggunakan metode black box testing, seluruh fitur sistem berfungsi sesuai dengan spesifikasi yang dirancang. Hasil penelitian menunjukkan bahwa sistem ini mampu memberikan hasil diagnosis, serta rekomendasi perawatan yang relevan, sehingga layak digunakan sebagai alat bantu dalam mendiagnosis penyakit kulit pada hewan peliharaan.
PEMANFAATAN SISTEM INFORMASI REKAM MEDIS BERBASIS WEB PADA PUSKESMAS KANDA Rasna, Rasna; Nurhayati, Siti; Sah, Andrian; Tonggiroh, Mursalim; Widiyantoro, Riandi; Matdoan, Irjii
Batara Wisnu : Indonesian Journal of Community Services Vol. 5 No. 3 (2025): Batara Wisnu | September - Desember 2025
Publisher : Gapenas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53363/bw.v5i3.454

Abstract

Health services at Puskesmas Kanda still face challenges in managing medical record data, which is mostly done manually. Manual data recording and reporting often cause data duplication, lost archives, and delays in generating health reports. To overcome these issues, this Community Service (PkM) activity was carried out by the Faculty of Computer Science, Universitas Yapis Papua, through training and mentoring on the implementation of a web-based medical record information system. The main objective was to improve the skills of health workers in operating the system to accelerate data recording, reduce human error, and enhance service efficiency. The activity was conducted through several stages: survey and observation, preparation of training materials, hands-on practice (learning by doing), and post-training evaluation. The results showed a significant improvement in participants’ ability to manage medical record data digitally. About 90% of participants stated that the system was easy to use and improved service speed, while 88% found the training relevant to their daily work. This activity had a positive impact on improving digital literacy among health workers and supported the digital transformation of primary health services in Papua.
Development of a Hybrid Machine Learning-Based E-Commerce Chatbot Using Jaccard Similarity and K-Nearest Neighbor for Accurate Intent Classification Sah, Andrian; Ilham, Andi; Rasna, Rasna; Nurhayati, Siti
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 3 (2026): JUTIF Volume 7, Number 3, June 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.3.5659

Abstract

The advancement of technology in the e-commerce industry requires fast and accurate information services, particularly through the use of Natural Language Processing (NLP)-based chatbots. However, many existing chatbots rely on a single method, which often limits their ability to understand user question contexts effectively. This study proposes a hybrid approach integrating Jaccard Similarity and K-Nearest Neighbor (K-NN) to improve answer retrieval accuracy and intent classification in e-commerce chatbot systems. Jaccard Similarity is employed to measure the similarity between user queries and Frequently Asked Questions (FAQ) data, while K-NN is used to determine intent based on the nearest neighbor with the highest similarity values. The dataset, consisting of FAQ questions and answers, is preprocessed through case folding, tokenization, stopword removal, and stemming. System performance is evaluated using accuracy, precision, recall, and F1-score metrics. The experimental results show that Jaccard Similarity effectively selects relevant answer candidates, achieving similarity values of up to 66%, while K-NN produces stable intent classification results. The proposed hybrid model achieved an accuracy of 87%, precision of 86%, recall of 85%, and an F1-score of 85%, outperforming single-method implementations. Furthermore, confidence score analysis indicates that most chatbot responses fall into the high confidence category (>0.70). Rule-based NLP evaluation also provides insights into unclassified inputs, which can be used as a basis for future dataset development. The implementation results demonstrate that the chatbot system can be operated effectively on both customer and admin sides and monitored through analytical features. Overall, the proposed hybrid approach enhances the reliability, relevance, and stability of chatbot responses, making it a practical and effective solution for real-time intent classification and FAQ retrieval in e-commerce customer service environments.
Co-Authors Andi ilham, Andi Andika Putra Chaeroen Niesa Damuri, Amat Hakim, Jamaludin Heriyani, Nofitri Jafar Rumandan, Rhaishudin Jafar, Rhaishudin Rumandan Jusmawati Jusmawati, Jusmawati Lasiyono, M. Munawir M. Ari Prayogo Matdoan, Irjii Muhammad Muharrom Muhammad Riandi Widiyantoro Nur Amalia Hasma Rasna, Rasna Robi Kurniawan Robo, Salahudin Sahrul Ponto Septilia, Tiara Indah Septyana Prasetianingrum Sidarmawan, Andri Tri Siti Nurhayati Suharto, Emilda Sukriyan, Mohamad Maulidin Tanniewa, Adam M Tanniewa, Adam M. Tonggiroh, Mursalim Widiyantoro, Muh. Riandi