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All Journal Inovasi : Jurnal Ekonomi, Keuangan, dan Manajemen Jurnal Kesehatan Manarang Indiktika : Jurnal Inovasi Pendidikan Matematika Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat Excellent Midwifery Journal Jurnal Ilmu Komunikasi Balayudha (JIKOBA) Jurnal Teknik Informatika Andalas International Journal of Socio-Humanities Jurnal Ilmiah Teknik Informatika dan Komunikasi International Journal of Health, Engineering and Technology Ezra Science Bulletin MULTIPLE: Journal of Global and Multidisciplinary Jurnal Pengabdian Masyarakat Sevaka: Hasil Kegiatan Layanan Masyarakat
Rika Handayani
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Analisis Kualitatif Penatalaksanaan Sasaran Keselamatan Pasien Di Rumah Sakit Umum Daerah Anugrah Kota Tomohon Tamira Tansy Timbuleng; Rika Handayani; Julia Fitrianingsih; Andi Muhammad Yaqkin Padjalangi; Jangga; Saparuddin Latu; Mustamin
MULTIPLE: Journal of Global and Multidisciplinary Vol. 2 No. 11 (2024): November
Publisher : Institute of Educational, Research, and Community Service

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Abstract

Penelitian bertujuan untuk menganalisa sasaran keselamatan pasien dalam ketepatan identifikasi pasien, komunikasi efektif, peningkatan keamanan obat, Kepastian Tepat-Lokasi, Tepat-Prosedur, Tepat-Pasien, pengurangan risiko infeksi dan pengurangan risiko pasien jatuh di Rumah Sakit Umum Daerah Anugrah Kota Tomohon. Jenis penelitian kualitatif dengan jumlah sampel 9 orang. Dalam hasil penelitian, didapatkan bahwa terdapatnya ketepatan identifikasi pasien di Rumah Sakit Umum Anugrah Kota Tomohon, yaitu, penggunaan gelang identitas. Adapula, peningkatan komunikasi yang efektif yang ditunjukkan dengan penggunakan jembatan keledai, namun, dalam observasi dokumen perintah secara lisan, pemberi perintah tidak memverifikasi kembali. Kemudian, peningkatan keamanan obat yang perlu diwaspadai (High-Alert) di Rumah Sakit Umum Daerah Anugrah Kota Tomohon, ditemukan bahwa mereka bahwa mereka memiliki daftar obat dan obat tersebut tersimpan dan dikunci pada ruangan khusus, apabila digunakan, harus dilakukan double-check. Sesuai dengan yang disampaikan informan, Kepastian Tepat-Lokasi, Tepat-Prosedur, Tepat-Pasien Rumah Sakit Umum Daerah Anugrah Kota Tomohon didapatkan mereka sudah menggunakan checklist dan telah memberikan edukasi kepada pasien. Pengurangan risiko infeksi terkait pelayanan kesehatan di Rumah Sakit Umum Daerah Anugrah Kota Tomohon, sudah diterapkan panduan cuci tangan dari WHO, juga ditemukan adanya penerapan 5 momen 6 langkah. Pada Pengurangan risiko pasien jatuh di Rumah Sakit Umum Daerah Anugrah Kota Tomohon, ditemukan penggunaan skala dan label pada setiap pasien serta terdapat pemantauan yang berkelanjutan. Rumah Sakit Umum Daerah Anugrah Kota Tomohon menjalankan kriteria sasaran keselamatan pasien berdasarkan aturan yang berlaku dan sesuai dengan standar akreditasi.
Analisis Kualitas Pemulihan Persalinan Pasca Sectio Caesarea Dengan Metode Eracs Terhadap Evaluasi Kepuasan Pasien Agus Susanto; Rika Handayani; Sriyana Herman; Saparuddin Latu; Andi Muhammad Yaqkin; Zainuddin
urn:multiple://2988-7828multiple.v2i128
Publisher : Institute of Educational, Research, and Community Service

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Abstract

Penelitian ini bertujuan untuk Analisis kualitas pemulihan persalinan pasca sectio caesarea dengan metode ERACS terhadap evaluasi kepuasan pasien. Jenis penelitian yang digunakan pada penelitian ini adalah penelitian kuantitatif dengan rancangan cross sectional study. Populasi dalam penelitian ini adalah semua ibu bersalin yang melakukan persalinan dengan metode ERACS pada bulan sebelumnya berjumlah 89 orang. Sampel dalam penelitian ini berjumlah 50 responden. Hasil penelitian menunjukan bahwa bukti fisik dengan nilai p = 0,010, kehandalan dengan nilai p = 0,010, daya tanggap dengan nilai p = 0,001, jaminan dengan nilai p = 0,031, dan empati dengan nilai p = 0,000 artinya kurang dari α 0,05 sehingga dapat dikatakan ada hubungan yang bermakna terhadap kualitas pemulihan pasca persalinan sectio caesarea dengan metode ERACS. Kesimpulan penelitian ini adalah perlu meningatkan sarana dan prasana terkait dengan bukti fisik di pelayanan dan juga dengan kehandalan petugas kesehatan dan ketanggapan terhadap keluhan pasien maka menciptakan kepuasan pelayanan untuk pasien, jaminan yang yang pasti terhadap metode ERACS dan empati para petugas kesehatan terhadap pasien akan menimbulkan perasaan dihargai dan diperhatikan oleh petugas kesehatan sehingga meningkatkan kepuasan pelayanan.
Classification of Infertility Risk in Female Patients Based on Medical Record Data Using Naive Bayes Algorithm Fahruzi Sirait; Halimah Tusakdiyah Harahap; Nadya Fitriani; Rika Handayani; Baginda Restu Al Ghazali
International Journal of Health Engineering and Technology Vol. 2 No. 4 (2023): IJHET NOVEMBER 2023
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhet.v2i4.274

Abstract

Infertility is a reproductive health problem that has a significant impact globally, especially in developing countries such as Indonesia. This study aims to classify the risk of infertility in female patients at Rantauprapat Regional Hospital by utilizing the Naive Bayes algorithm based on electronic medical record data. The data used consisted of 500 medical records of female patients of childbearing age during the period 2019–2022, which had been processed and divided into training data (70%) and testing data (30%). The analysis and modeling process was carried out using the RapidMiner application without requiring programming skills. The results showed that the Naive Bayes model was able to classify the risk of infertility with an accuracy level of 86.7%, precision of 91.0%, recall of 93.2%, and F1-score of 92.1%. The main factors that most influence the classification of infertility include a history of reproductive disease, patient age, hormonal examination results, body mass index, and history of sexually transmitted infections. These findings indicate that the integration of the Naive Bayes algorithm into medical record data can be an effective solution for early detection of infertility clinically and support data-based decision making. This study also recommends increasing data and attribute coverage, as well as comparison with other algorithms for more optimal results in the future
Unresolved Psychological Problem in Dennis Lehane’s Shutter Island Ahmad Luthfi; Rika Handayani
Andalas International Journal of Socio-Humanities Vol. 4 No. 2 (2022)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijosh.v4i2.42

Abstract

This article explains hallucination as a psychological problem undergone by Andrew Laeddis, the main character of Dennis Lehane’s Shutter Island. Viewed from Sigmund Freud’s psychoanalytical theory (id, ego, and superego), self-defense mechanism theory by Anna Freud, and hallucination theory, this article shows how the main character faces the hallucination and how his efforts fail. The results of the study reveal that Andrew Laeddis faces three types of hallucination: visual hallucination, auditory hallucination, and temporal illusion. Andrew Laeddis also applies two self-defense mechanisms: denial of reality and regression. Since the id is more dominant than the ego, the doctors do not succeed in curing him of the hallucination. In other words, Andrew Laeddis experiences an unresolved psychological problem; which is hallucination.
Penyuluhan Penerapan Metode Naive Bayes Untuk Kalsifikasi Data Pasien Tipus Di RSUD Rantauprapat Intan Nur Fitriyani; Quratih Adawiyah; Rika Handayani; Fitriyani Nasution; Dinda Salsabila Ritonga
Sevaka : Hasil Kegiatan Layanan Masyarakat Vol. 2 No. 4 (2024): November: Sevaka : Hasil Kegiatan Layanan Masyarakat
Publisher : STIKES Columbia Asia Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62027/sevaka.v2i4.524

Abstract

Typhoid fever is an infectious disease caused by the bacterium Salmonella typhi, commonly found in developing countries, including Indonesia. Prompt and accurate treatment is crucial to prevent serious complications in patients. One way to assist in diagnosing typhoid fever is by applying machine learning methods to classify patient data. The Naive Bayes method is one of the machine learning algorithms frequently used in medical data classification due to its strong ability to handle large and complex datasets. This article discusses the application of the Naive Bayes method for classifying typhoid patient data at Rantauprapat General Hospital (RSUD Rantauprapat). By utilizing medical data that includes clinical symptoms, laboratory test results, and patients’ medical histories, the Naive Bayes model can provide fairly accurate predictions regarding the likelihood of a person having typhoid fever. The research findings indicate that Naive Bayes is reliable in predicting typhoid diagnoses with adequate accuracy, thereby supporting healthcare professionals in making faster and more precise decisions. It is expected that the implementation of this method can accelerate the diagnostic process and improve the quality of healthcare services at RSUD Rantauprapat, as well as in other regions.
Penyuluhan Penerapan Naive Bayes Untuk Identifikasi Keterlambatan Perkembangan Anak Berdasarkan Data Kesehatan Pada Program Studi Kebidanan Fahruzi Sirait; Eka Ramadhani Putra; Nailatun Nadrah; Rika Handayani; Yusril Iza Mahendra Hasibuan
Sevaka : Hasil Kegiatan Layanan Masyarakat Vol. 2 No. 4 (2024): November: Sevaka : Hasil Kegiatan Layanan Masyarakat
Publisher : STIKES Columbia Asia Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62027/sevaka.v2i4.525

Abstract

Child developmental delay is a public health issue that needs to be identified early to prevent long-term impacts on children’s quality of life. In Rantau Prapat Sub-district, cases are still found among toddlers with undernutrition, incomplete immunizations, and suboptimal developmental stimulation, which may pose risks of growth and developmental delays. This study aims to apply the Naive Bayes method in identifying child developmental delays based on health data collected through medical records and questionnaires. The research method includes data collection, pre-processing (cleaning, transformation, and normalization), classification using the Naive Bayes algorithm, and model validation with the k-fold cross-validation technique. The results showed that out of 150 toddler data samples, 30.7% experienced developmental delays, with the dominant influencing factors being nutritional status and immunization completeness. The Naive Bayes algorithm achieved an accuracy rate of 87.3% with a precision of 84.1%, recall of 85.7%, and F1-score of 84.9%. These findings demonstrate that Naive Bayes can be used as a decision support system in the early identification process of child developmental delays. Therefore, the results of this study are expected to assist healthcare workers, particularly midwives, in improving the quality of early detection and delivering more targeted interventions for children in the Rantau Prapat area.
Penerapan Teorema Bayes Untuk Mendiagnosa Hama dan Penyakit Pada Tanaman Kelapa Sawit Rika Handayani; A. Sidiq Purnomo
JEKIN - Jurnal Teknik Informatika Vol. 4 No. 2 (2024)
Publisher : Yayasan Rahmatan Fidunya Wal Akhirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58794/jekin.v4i2.737

Abstract

Kelapa sawit (Elaeis guineensis Jacq.) merupakan tanaman perkebunan sebagai penghasil minyak. Indonesia merupakan produsen minyak kelapa sawit terbesar di dunia. Kelapa sawit tumbuh dan dibudidayakan hampir di seluruh Indonesia, dengan penyebaran yang luas di daerah Aceh, Sumatera, Jawa, Kalimantan, dan Sulawesi. Permasalahan umum yang terjadi dalam budidaya kelapa sawit meliputi produktivitas tanaman yang rendah, biaya produksi yang tinggi, dan kebijakan pemerintah yang kontra produktif. Salah satu faktor yang dapat mengurangi produktivitas dan pertumbuhan kelapa sawit adalah adanya penyakit pada tanaman tersebut. Penelitian ini bertujuan untuk mengidentifikasi, mendiagnosa serta memberikan informasi tentang hama dan penyakit pada tanaman kelapa sawit. Oleh karena itu, dikembangkan sebuah sistem pakar menggunakan metode Teorema Bayes untuk mendiagnosa hama dan penyakit pada tanaman kelapa sawit. Data yang digunakan dalam penelitian ini terdiri dari 19 hama dan penyakit serta 45 gejala penyakit pada tanaman kelapa sawit yang diperoleh dari seorang pakar. Sistem ini dibuat dan dikembangkan menggunakan bahasa pemrograman PHP, Framework CodeIgniter dan database MySQL. Penelitian ini mencapai tingkat akurasi 93.33% dari 30 data pengujian, dengan output berupa persentase kemungkinan penyakit yang dialami oleh tanaman kelapa sawit serta saran pemberantasannya. Hasil pengujian ini membuktikan bahwa sistem pakar yang dikembangkan mampu mengidentifikasi hama dan penyakit pada tanaman kelapa sawit secara efektif.  
Teachers' Creativity in Increasing Students' Interest in Learning in Educational Institutions in Rw 06 Petukangan Selatan Rika Handayani; Taufiq Ramadhan; Azmi Islami; Dinda Imroatul Azizah
Jurnal Pengabdian Masyarakat (Bisma) Vol. 1 No. 1 (2023): Jurnal Pengabdian Masyarakat (Bisma)
Publisher : Universitas Darunnajah, Jakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61159/bisma.v1i1.73

Abstract

Abstract: A teacher is required to be more creative in processing the learning process into something unique and interesting. Teaching creativity is defined as a quality in which teachers must develop new and imaginative ideas in teaching. Therefore, a creative response in teaching can be in the form of good classroom management that can create a conducive learning atmosphere, the use of interesting learning media, and variations in teaching styles. Real Work Lecture (KKN) is a concrete manifestation of the duties of lecturers and students in carrying out the Tri Dharma of Higher Education, namely the aspect of service. Through community service activities in the RW 06 area, Petukngan Selatan, there is a synergy between universities and the community as a form of democratic knowledge. The purpose of this service is to provide understanding to the local community about the importance of education to assist the government in educating the nation's children. Service is carried out through activities: Teaching KKN. The results of the service provide an illustration of increasing enthusiasm and increasing public understanding, especially teachers and parents, about how to foster creativity in educating, educational psychology, the importance of reading for children, tutoring and making learning media for teachers as materials for teaching in monotheism-based classes.
Co-Authors Agus Susanto Ahmad Luthfi Aldri Frinaldi Ana Fitri Ramadani Andi Muhammad Yaqkin Andi Muhammad Yaqkin Padjalangi Azmi Islami Azmi Islami Baginda Restu Al Ghazali D, Novica Jolyarni Darul Ilmi Dhiant Asri Dinda Imroatul Azizah Dinda Imroatul Azizah Dinda Salsabila Ritonga Dini Nur Fibriana Eka Ramadhani Putra Ekayanti Hafidah Ahmad Endang Masitoh W Erise fatwa amaliya Fahruzi Sirait Fitriyani Nasution Herman, Sriyana Hisbul maulana Holifah Intan Lestari Intan Nur Fitriyani Isnaeni Isnaeni Jangga Julia Fitrianingsih Kashardi, Kashardi Mustamin Nadya Fitriani Nailatun Nailatun Nadrah Putri, Selfi Mahat Quratih Adawiyah Risnawati, Risna Rizky Amelya Furqan Sabri Sanghati, Sanghati Saparuddin Latu Sidiq Purnomo, Agus Suhendro Suhendro Tamira Tansy Timbuleng Taufiq Ramadhan Taufiq Ramadhan Tusakdiyah Harahap, Halimah Yantimala Mahmud Yuriska Destania Yusril Iza Mahendra Hasibuan Zainuddin