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All Journal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Ners dan Kebidanan (Journal of Ners and Midwifery)
Bastianus Doddy Riyadi
Poltekkes Kemenkes Malang
Computer Science & IT Education Health Professions Nursing Public Health

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Reduction of JITANTI PTM Questionnaire: Principal Component Factor Analysis Suprajitno Suprajitno; Sri Mugianti; Bastianus Doddy Riyadi; Juin Hadi Suyitno; Puguh Yudho Trisnanto
Journal of Ners and Midwifery Vol 10 No 2 (2023)
Publisher : STIKes Patria Husada Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26699/jnk.v10i2.ART.p154-160

Abstract

69 questions in the JITANTI PTM application with the logo , can be employed to measure an individual's risk of suffering from non-communicable diseases. The 69 questions in the app can tire the user's eyes, as can the app user's comments. The objective of the study is to reduce questions in order to be more effective. The research design used was cross-sectional. The sample who volunteered to fill out the JITANTI PTM application were 324 people using simple random sampling. The inclusion criteria was people who were living in Blitar Raya, at risk of suffering from non-communicable diseases, and frequently consuming fast food and drinks. Data collection was administered from April to June 2022. Data analysis was then performed to calculate validity using Pearson Product Moment, reliability by administering Cronbach's a, and factor loading employing principal component factor analysis. The software for calculations utilized SPSS. The validity test values obtained were between 0.234 – 0.708 which is greater than r table at a = 0.05 and degrees of freedom > 300 = 0.113, meaning the questions met the validity requirements. The reliability test scores obtained were between 0.783 – 0.907 which met the minimum reliability requirements of 0.7. Based on the Eigenvalue, which is more than 1.0, 19 new questions can be generated (7 for knowledge, 7 for attitude, and 5 for action). Reducing the number of questions in the JITANTI PTM application can reduce user visual fatigue and speed up charging time, thereby reducing the accommodation power of vision.
DESAIN CUSTOM ROBOT AI LEARNING TOUCH OPERATIONS MENGHASILKAN TINGKAT RESIKO PERBAIKAN RENDAH MENGGUNAKAN METODE CYCLOMATIC COMPLEXITY Puguh Yudho Trisnanto; I Komang Suwita; Sugeng Iwan; Bastianus Doddy Riyadi
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 3 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i3.7001

Abstract

Layanan kesehatan pasien di fasilitas layanan kesehatan menggunakan alur pendafataran pasien lama dan baru, dengan menyertakan kartu identitas pasien dan BPJS. Serta pengisian keluhan awal dengan formulir keluhan awal di dampingi oleh petugas nakes, dan mengambil no antrian di mesin antrian sesuai poli yang dituju bagi pasien lama, dan pasien baru menyerahkan KTP dan kartu BPJS serta formulir keluhan pasien, untuk mendapatkan kartu berobat pasien setelah dokumen diproses oleh petugas. Tujuan penelitian ini model alur pendaftaran pasien menggunakan system model digantikan dengan menggunakan model Expert system AI ROBOT ALTO yang membantu proses kartu berobat pasien baru dibuat oleh ROBOT, dan diproses di mesin ROBOT untuk dikirimkan langsung ke system data cloud. Sehingga dokter dapat melihat status keluhan pasien berkunjungan dengan cepat dan akurat. Tahapan penelitian ini menggunakan metode prototype yang dibagi menjadi dua tahapan a). Tahapan membuat prototype ROBOT, b). Tahapan model customROBOT dengan pengguna. TKT yang digunakan untuk penelitian ini menggunakan TKT 2-3,-4 kesiapan teknologi tersebut menghasilkan tahapan inisiasi model Custom experiment ROBOT dan simulasi lingkungan simulasi ROBOT digunakan dengan persetujuan dari pihak Faskes tingkat 1 dan RS, serta pakar ahli elektrikan sistem
Co-Authors I Komang Suwita Juin Hadi Suyitno Puguh Yudho Trisnanto Sri Mugianti Sugeng Iwan Suprajitno