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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Surya Abdimas Jurnal Sistem Informasi Kaputama (JSIK) Infokes : Jurnal Ilmiah Rekam Medis dan Informasi Kesehatan Nusantara Hasana Journal Jurnal Abdimas Bina Bangsa Proceedings of the International Conference on Nursing and Health Sciences Proceeding of International Conference Health, Science And Technology (ICOHETECH) Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Jurnal Pemberdayaan Masyarakat Nusantara Compromise Journal : Community Proffesional Jurnal Pengabdian Masyarakat Indonesia (JPMI) Ambidextrous : Journal of Innovation, Efficiency and Technology in Organization International Journal of Health and Medicine
Nurhayati
Universitas Duta Bangsa Surakarta
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Analysis of Parental Assessment of the Usefulness of Expert Systems in Detecting Child Behavioral Disorders Nurhayati Nurhayati; Eni Nur Rahmawati; Imanuel Dwi Anand Sinar Putra; Dimas Rizky Maulana
International Journal of Health and Medicine Vol. 2 No. 2 (2025): April : International Journal of Health and Medicine
Publisher : Asosiasi Riset Ilmu Kesehatan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijhm.v2i2.369

Abstract

This study discusses the analysis of parental assessment and the usefulness of expert systems in detecting child behavioral disorders using the system usability method scales (SUS). This system is designed to help parents identify behavioral disorders in children efficiently and accurately. The research method includes compiling a questionnaire, collecting data, processing SUS scores, interpreting results, and recommending improvements. The results of this study indicate that this system gets an average SUS score of 82.84, which is included in the Grade A category. This shows a high level of acceptance and good user experience, where users do not experience difficulty in operating the system. In addition, this system managed to maintain its search performance, but improvements are needed in some of its services according to suggestions from respondents.
Designing a Child Behavior Disorder Expert System Database Using the Database Life Cycle Method Nurhayati, Nurhayati; Nur Rahmawati, Eni; Dwi Anand Sinar Putra, Imanuel; Rizky Maulana, Dimas
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v5i1.4223

Abstract

Behavioral disorders in children are complex issues that require careful handling in order to avoid affecting their future development. An expert system has been developed to assist parents, teachers, and health professionals in diagnosing and treating various types of behavioral disorders in children. A well-designed database is essential for an effective expert system, ensuring integrity, availability, and optimal performance. This research aims to design a database for an expert system for behavioral disorders in children using the database life cycle method. The study employs relational database design, including conceptual, logical, and physical design and implementation in MySQL DBMS. The results of the study indicate that the database design approach, including conceptual, logical, and physical databases, can produce an efficient database that adheres to the principles of a relational database.
Expert System for Early Detection of Postpartum Complications Using Certainty Factor Method Nurhayati, Nurhayati; Pertiwi, Mumpuni Intan; Kholilurrohman, Maulana Rifky; Tamarussal, Naraya Kyesa
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.11009

Abstract

Postpartum complications are one of the main causes of maternal mortality. The objective of this study was to design and build an expert system capable of early detection and providing consultation regarding health complications that occur during the postpartum period using the certainty factor method. The certainty factor approach is utilized to overcome the uncertainty that arises during the diagnosis process by combining the confidence values ​​of each symptom entered by the user. The research methods included needs identification, data collection, knowledge acquisition, knowledge base development, software design, software development, and testing. Needs identification generated 10 data sets, data collection was conducted through literature studies, and knowledge acquisition was obtained through interviews. The knowledge base was compiled based on information from experienced medical personnel. The software design included data flow, interface, and database. The software development resulted in a good early detection expert system. The expert system trial indicated superior performance in identifying health complications during the postpartum period with an accuracy rate of 91%. The ability to recognize positive cases reached 90.9%, and the error rate was 10%, indicating this system is reliable and accurate in decision-making.
Peningkatan Pengetahuan Warga Mengenai Interaksi Obat Melalui Sistem Pakar di Dusun Singkil Parangjoro Grogol Sukoharjo Nurhayati Nurhayati; Lilik Anggar Sri Rahayuningsih; Bety Katarina Dewi; Putry Wahyu Indarwati
Jurnal Pengabdian Masyarakat Indonesia (JPMI) Vol. 1 No. 6 (2024): Agustus
Publisher : Publikasi Inspirasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62017/jpmi.v1i6.2058

Abstract

Interaksi obat terjadi ketika efek suatu obat dipengaruhi oleh obat lain, makanan, atau minuman. Hal ini bisa mengakibatkan beberapa masalah seperti penurunan efektivitas pengobatan, peningkatan toksisitas, atau munculnya efek farmakologis yang merugikan. Kegiatan pengabdian masyarakat ini memiliki sasaran warga dusun singkil, bertujuan untuk meningkatkan pengetahuan sasaran mengenai pentingnya memahami interaksi antar obat yang merugikan dan memiliki keterampilan dalam mengoperasikan sistem pakar interaksi obat sebagai teknologi yang membantu dalam skrining interaksi obat yang merugikan. Metode kegiatan terdiri atas persiapan, penyusunan materi peningkatan pengetahuan, penyuluhan, penyusunan materi penggunaan teknologi, pelatihan, pendampingan dan monitoring.  Hasil kegiatan ini adalah terjadi peningkatan pengetahuan sasaran mengenai interaksi obat yang merugikan sebesar 18% dan peningkatan keterampilan sasaran dalam mengoperasikan sistem pakar interaksi obat. Simpulan dari kegiatan ini adalah kegiatan telah berhasil meningkatkan pengetahuan dan keterampilan sasaran dalam interaksi obat yang merugikan. Dengan adanya kegiatan ini diharapkan kejadian interaksi obat yang merugikan di lingkungan sasaran dapat ditekan
Pendampingan Kader Posyandu dalam Deteksi Dini Masalah Perilaku dan Emosional Anak Darah Ifalahma; Nurhayati Nurhayati; Ana Yuliana; Novia Kartika Hayu Asr
Compromise Journal Community Proffesional Service Journal Vol. 2 No. 4 (2024): Compromise Journal : Community Proffesional Service Journal
Publisher : LPPM STIKES KESETIAKAWANAN SOSIAL INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57213/compromisejournal.v2i4.446

Abstract

Posyandu Ngadi Asih has a cadre of 20 people and has implemented 5 posyandu service tables but it is not yet optimal. The initial survey at Posyandu Ngadi Asih Surakarta found children who indicated mental and emotional problems such as impulsive tantrums (fussing with shouting and throwing objects) when their wishes were not met, anger when restricted in using gadgets, hitting their peers, and being reluctant to go to school because they were afraid. The problem found at Posyandu Ngadi Asih was that early detection examinations for mental, emotional and behavioral health had not been carried out. This is due to the limited knowledge and skills of cadres. The root of the problem is that there is no instrument for early detection of mental, emotional and behavioral problems, so that so far at Posyandu Ngadi Asih there has been no recap of data on children who experience mental, emotional and behavioral problems. The solution offered by this program is the Implementation of the Emotional Mental Problems Information System (SIEMPRO). Implementation method with 6 (six) stages, namely preparation, apperception, training, mentoring, evaluation and termination. The results of the program for implementing the Emotional Mental Problems Information System (SIEMPRO) at Posyandu Ngadi Asih have gone well. There was an increase in cadre skills after the activities were carried out, although not completely. Some cadres still need assistance from skilled cadres. The implementation of the Emotional Mental Problems Information System (SIEMPRO) is ready to be implemented at the Ngadi Asih posyandu. The cadres are committed to implementing and applying the results of this program in every posyandu activity and when providing support for Toddler Family Development
PEMBERDAYAAN MASYARAKAT DESA MELALUI PENINGKATAN PENGETAHUAN DIBIDANG KESEHATAN BERBASIS TEKNOLOGI INFORMASI Agung Suryadi; Nurhayati; Linda Widyaningrum
Jurnal Pemberdayaan Masyarakat Nusantara Vol 4 No 2 (2026): Jurnal Pemberdayaan Masyarakat Nusantara | Juni - Agustus 2026
Publisher : PT. NAFATIMAH GRESIK PUSTAKA

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

Abstract

Teknologi memberikan kemudahan dalam akses terhadap informasi kesehatan. Pemanfaatan teknologi informasi di wilayah pedesaan masih menghadapi berbagai kendala, seperti rendahnya pengetahuan mengenai kesehatan digital dan terbatasnya kemampuan masyarakat dalam memperoleh informasi kesehatan yang valid. Pengabdian kepada Masyarakat ini bertujuan untuk meningkatkan pengetahuan masyarakat Desa Ngargotirto mengenai pemanfaatan teknologi informasi di bidang kesehatan melalui kegiatan edukasi berbasis teknologi informasi. Metode pelaksanaan menggunakan pendekatan partisipatif yang meliputi tahap persiapan, penyuluhan dan edukasi, demonstrasi, praktik langsung, diskusi, pendampingan, serta monitoring dan evaluasi. Kegiatan diikuti oleh 25 peserta yang terdiri atas ibu rumah tangga, kader posyandu, dan tokoh masyarakat. Hasil kegiatan menunjukkan adanya peningkatan pengetahuan peserta yang ditunjukkan oleh peningkatan nilai rata-rata dari 33,73% pada saat pre-test menjadi 87,43% pada saat post-test. Selain itu, kemampuan peserta dalam mengakses informasi kesehatan melalui sumber resmi, memahami konsep kesehatan digital, serta membedakan informasi kesehatan yang benar dan hoaks juga mengalami peningkatan. Pendekatan partisipatif yang dipadukan dengan penyuluhan interaktif, demonstrasi, praktik langsung, dan pendampingan terbukti efektif dalam meningkatkan literasi kesehatan digital masyarakat. Dengan demikian, kegiatan ini berhasil memberdayakan masyarakat desa dalam memanfaatkan teknologi informasi sebagai media edukasi kesehatan dan diharapkan dapat menjadi model pengabdian yang berkelanjutan untuk mendukung transformasi digital kesehatan di tingkat masyarakat.
Website-Based Patient Complaint Information System at Hidayah General Hospital, Boyolali I Made Selamet Sudiana; Nurhayati; Agung Suryadi
Ambidextrous Journal of Innovation Efficiency and Technology in Organization Vol. 5 No. 02 (2026): Ambidextrous: Journal of Innovation, Efficiency and Technology in Organization
Publisher : Takaza Innovatix Labs Ltd.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61536/ambidextrous.v5i02.709

Abstract

Background:Patient complaints at Hidayah General Hospital, Boyolali, are still handled through direct submissions, WhatsApp, and Google Reviews, which poses a risk of data loss and difficulty in monitoring follow-up. Objective: This study aims to build a website-based patient complaint information system. Method: The study used a descriptive method with a cross-sectional approach. The subjects were Public Relations and Training officers. The instruments were observation and interview guidelines, while data collection was carried out through observation, interviews, and document review. Data were analyzed descriptively. The system was developed using the Systems Development Life Cycle with the Waterfall model. Result: The system provides complaint submission features, automatic complaint tickets, status tracking, responses and follow-ups, satisfaction surveys, statistics, and report printing. Conclusion: The developed system supports more structured patient complaint management and facilitates monitoring of complaint follow-up, thereby supporting hospital service management.
Deteksi Dini Risiko Kesehatan Ibu Hamil Menggunakan Algoritma XGBoost dan Analisis Feature Importance Nurhayati; Agung Suryadi; Yunita Wisda Tumarta Arif; Aril Rizal Saputra
Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Prosiding Seminar Nasional Teknologi Informasi dan Bisnis (SENATIB) 2026
Publisher : Fakultas Ilmu Komputer Universitas Duta Bangsa Surakarta

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Abstract

Risiko kesehatan pada ibu hamil merupakan salah satu kondisi yang perlu dideteksi sejak dini karena berkaitan dengan kesehatan ibu dan janin. Penelitian ini bertujuan untuk membangun model klasifikasi risiko kesehatan ibu hamil menggunakan algoritma Extreme Gradient Boosting (XGBoost) berdasarkan data kondisi kesehatan ibu hamil. Dataset yang digunakan terdiri dari 12 variabel klinis, yaitu Usia (Age), Tekanan Darah Sistolik (Systolic Blood Pressure), Tekanan Darah Diastolik (Diastolic Blood Pressure), Kadar Gula Darah (Blood Sugar), Suhu Tubuh (Body Temperature), Indeks Massa Tubuh (Body Mass Index), Riwayat Komplikasi (Previous Complications), Riwayat Diabetes Sebelumnya (Preexisting Diabetes), Diabetes Kehamilan (Gestational Diabetes), Kesehatan Mental (Mental Health), Denyut Jantung (Heart Rate), Dan Kategori Risiko (Risk Level). Target Klasifikasi Terdiri Dari Dua Tingkat Risiko Kehamilan, Yaitu Low Risk (Risiko Rendah) Dan High Risk (Risiko Tinggi). Tahapan penelitian meliputi pengumpulan data, preprocessing data, pembagian dataset, pemodelan menggunakan XGBoost, evaluasi model, dan analisis feature importance. Hasil penelitian menunjukkan bahwa model XGBoost menghasilkan performa klasifikasi yang sangat baik dengan accuracy sebesar 99.16%, precision sebesar 0.979, recall sebesar 0.986, dan F1-Score sebesar 0.99. Hasil analisis feature importance menunjukkan bahwa variabel Blood Sugar, Gestational Diabetes, dan Preexisting Diabetes merupakan faktor yang paling berpengaruh terhadap tingkat risiko kesehatan ibu hamil. Berdasarkan hasil penelitian, algoritma XGBoost layak digunakan sebagai bagian dari sistem deteksi dini risiko kesehatan ibu hamil untuk membantu proses pengambilan keputusan dan pencegahan komplikasi secara lebih cepat dan tepat.
Co-Authors Agung Suryadi Agung Suryadi Agung Suryadi Ahmad Yusron Yunizar Ana Yuliana Anisa Rahayu Antonius Suhartanto Aril Rizal Saputra Bety Katarina Dewi Danang Yudha Laksono Darah Ifalahma Dimas Rizky Maulana Dwi Anand Sinar Putra, Imanuel Eni Nur Rahmawati Hesty Latifa Noor I Made Selamet Sudiana Ike Yunia Pasa Imanuel Dwi Anand Sinar Putra Istiqomah Novitasari Khofifah Nurul Sa’adah Khoirul Mustofa Kholilurrohman, Maulana Rifky Lidia Putri Fitriana Lilik Anggar Sri Rahayuningsih Linda Widyaningrum Muhammad Amin bin Sahari Novia Kartika Hayu Asr Novia Kartika Hayu Asri Pertiwi, Mumpuni Intan Putry Wahyu Indarwati Rike Novilia Fajarwati Rizky Maulana, Dimas Sri Wahyuningsih Nugraheni Sri Widodo Tamarussal, Naraya Kyesa Tominanto Tominanto Yunita Wisda Tumarta Arif Zurlyan Qurrotaayun