Heru Santoso Wahito Nugroho, Heru Santoso Wahito
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MISLEADING USE OF THE TERMS OF UNIVARIATE AND BIVARIATE ANALYSIS IN HEALTH RESEARCH Nugroho, Heru Santoso Wahito; Santosa, Budi Joko
Health Notions Vol 3, No 8 (2019): August
Publisher : Humanistic Network for Science and Technology (HNST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/hn30804

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FOSTERING A CLIMATE FOR SHARING SCIENTIFIC EXPERIENCES THROUGH THE PUBLICATION OF LETTER TO EDITORS Nugroho, Heru Santoso Wahito
Health Notions Vol 3, No 9 (2019): September
Publisher : Humanistic Network for Science and Technology (HNST)

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in editing
Understanding the Resistance to Health Information Systems Ackah, David; Alvarado, Angelito E; Nugroho, Heru Santoso Wahito; Polnok, Sanglar; Martiningsih, Wiwin
Health Notions Vol 1, No 1 (2017): January-March
Publisher : Humanistic Network for Science and Technology (HNST)

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User resistance is users’ opposition to system implementation. Resistance often occurs as a result of a mismatch between management goals and employee preferences. There are two types of resistance to health iformation system namely active resistance and passive resistance. The manifestation of active resistance are being critical,  blaming/accusing, blocking, fault finding, sabotaging, undermining, ridiculing, intimidating/threatening, starting rumors, appealing to fear, manipulating arguing, using facts selectively, distorting facts and  raising objections. The manifestation of passive resistance are agreeing verbally but not following through, failing to implement change, procrastinating/dragging feet, feigning ignorance, withholding information, suggestions, help or support, and standing by and allowing the change to fail.   Keywords: Health information systems, User Resistance, Active resistance, Passive resistance 
INDICATORS OF ORGANIZATIONAL SUPPORT IN IMPLEMENTING MATERNAL AND CHILD HEALTH INFORMATION SYSTEM Nugroho, Heru Santoso Wahito; Supriyanto, Stefanus; Notobroto, Hari Basuki
International Journal of Public Health Science (IJPHS) Vol 5, No 3: September 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v5i3.4797

Abstract

Nowadays, the implementation of health informtion system in Indonesia still encounters a number of obstacles e.g. redundant data, activities duplication, data quality, data not in harmony with the necessities, report not submitted on time, unoptimized feedback, low information utilization, and inefficient resources. This research aimed to analyze the indicators of organizational support which were suspected as one of the obstacles of the implementation of Maternal and Child Health Information System in Health Office of Ngawi Regency. The population of this cross sectional research was all village midwives administratively in duty in the areas of Ngawi Regency in 2015. Data was taken from all member of populaton through questionnaire filling, which was then analyzed by using confirmatory factor analysis (CFA). The result of data analysis suggested that the coefficient value that has been standardized from each indicators were as follows: supervisor support = 0.82, work condition = 0.80, and reard = 0.90. Indicators of organizational supportin implementing Maternal and Child Health Information System at Ngawi Regency Health Office, respectively from the most important are: reward, supervisor support, and work condition.
Community Empowerment Model Based on Independence in Administration Alert Village Health Sector Suparji, Suparji; Nugroho, Heru Santoso Wahito; Sunarto, Sunarto
Health Notions Vol 2 No 2 (2018): February 2018
Publisher : Humanistic Network for Science and Technology (Address: Cemara street 25, Ds/Kec Sukorejo, Ponorogo, East Java, Indonesia 63453)

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Introduction: The success of “Alert villages” (“alert village”) can be explained using an independence-based "community empowerment model", involving factors of physical capital, human capital, social capital and community empoweredness. Method: This model was developed with a cros sectional design involving physical capital, human capital, social capital, community empoweredness, and “alert village” success. The research subjects were 216 implementers of “alert village” in Panekan Sub-district, Magetan District, selected by cluster sampling technique. Data were collected through questionnaires, then analyzed using structural equation modeling based on partial least square. Result: The success of “alert village” wass influenced by: 1) physical capital with total effect of 0.105360; 2) social capital with total effect 0.774022, 3) community empoweredness with total effect 0.952891. Analysis: The success of “alert village” was determined by a direct determinant of community empoweredness and two indirect determinants of physical capital and social capital. Discussion: In the model of community empowerment in the implementation of “alert village” in Panekan Sub-district, the success of “alert village” was determined by 2 main factors in sequence, namely: 1) community empoweredness that included the ability to identify and develop potential, identify and prioritize problems, solve the problem; 2) social capital that included social network, level of trust between people, obedience to norm, caring for others, and involvement in implementation.
Understanding The Resistance to Health Information Systems Ackah, David; Alvarado, Angelito E; Nugroho, Heru Santoso Wahito; Polnok, Sanglar; Martiningsih, Wiwin
Health Notions Vol 1 No 1 (2017): January-March 2017
Publisher : Humanistic Network for Science and Technology (Address: Cemara street 25, Ds/Kec Sukorejo, Ponorogo, East Java, Indonesia 63453)

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

Abstract

User resistance is users’ opposition to system implementation. Resistance often occurs as a result of a mismatch between management goals and employee preferences. There are two types of resistance to health iformation system namely active resistance and passive resistance. The manifestation of active resistance are being critical,  blaming/accusing, blocking, fault finding, sabotaging, undermining, ridiculing, intimidating/threatening, starting rumors, appealing to fear, manipulating arguing, using facts selectively, distorting facts and  raising objections. The manifestation of passive resistance are agreeing verbally but not following through, failing to implement change, procrastinating/dragging feet, feigning ignorance, withholding information, suggestions, help or support, and standing by and allowing the change to fail.
Community Empowerment Model Based on Independence in Administration Alert Village Health Sector Suparji, Suparji; Nugroho, Heru Santoso Wahito; Sunarto, Sunarto
Health Notions Vol 2, No 2 (2018): February
Publisher : Humanistic Network for Science and Technology (HNST)

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Abstract

Introduction: The success of “Alert villages” (“alert village”) can be explained using an independence-based "community empowerment model", involving factors of physical capital, human capital, social capital and community empoweredness. Method: This model was developed with a cros sectional design involving physical capital, human capital, social capital, community empoweredness, and “alert village” success. The research subjects were 216 implementers of “alert village” in Panekan Sub-district, Magetan District, selected by cluster sampling technique. Data were collected through questionnaires, then analyzed using structural equation modeling based on partial least square. Result: The success of “alert village” wass influenced by: 1) physical capital with total effect of 0.105360; 2) social capital with total effect 0.774022, 3) community empoweredness with total effect 0.952891. Analysis: The success of “alert village” was determined by a direct determinant of community empoweredness and two indirect determinants of physical capital and social capital. Discussion: In the model of community empowerment in the implementation of “alert village” in Panekan Sub-district, the success of “alert village” was determined by 2 main factors in sequence, namely: 1) community empoweredness that included the ability to identify and develop potential, identify and prioritize problems, solve the problem; 2) social capital that included social network, level of trust between people, obedience to norm, caring for others, and involvement in implementation. Keywords: Physical capital, Social capital, Community empoweredness, Alert village
THE ROLE OF ORGANIZATIONAL FACTORS IN ACCEPTANCE OF HEALTH MANAGEMENT INFORMATION SYSTEMS Acob, Joel Rey U.; Nugroho, Heru Santoso Wahito
Health Notions Vol 3, No 5 (2019): May
Publisher : Humanistic Network for Science and Technology (HNST)

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PERANCANGAN “LABORATORIUM MAYA SDIDTK” DALAM PEMBELAJARAN STIMULASI, DETEKSI, DAN INTERVENSI DINI TUMBUH KEMBANG ANAK Nugroho, Heru Santoso Wahito; Sunarto, Sunarto; Suparji, Suparji
2-TRIK: TUNAS-TUNAS RISET KESEHATAN Vol 5, No 1 (2015): Februari 2015
Publisher : WAHANA RISET KESEHATAN

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Pendahuluan: Ada permasalahan pembelajaran SDIDTK bagi mahasiswa kebidanan, yaitu ketidaksesuaian antara volume materi dengan alokasi waktu, penggunaan metode konvensional, serta nilai kompetensi psikomotorik yang rendah. Maka, diajukan solusi yaitu membuat ?Laboratorium Maya SDIDTK? (?LAMAS?) yang dapat dipelajari pada setiap waktu dan tempat dengan bantuan computer. Metode: Langkah-langkah penelitian diawali dengan menyediakan perangkat, mengembangkan model, mengevaluasi kualitas, dan terakhir memberikan rekomendasi berdasarkan hasil evaluasi kualitas ?LAMAS?. Hasil: 1) Telah tersedia: hardware, software, brainwar, dan buku materi pendukung, 2) berhasil dikembangkan model yaitu: pembuatan frame berupa web browser, penyusunan materi (teks, gambar vektor, foto, animasi, dan video), materi telah diintegrasikan ke dalam frame 3) hasil evaluasi kualitas ?LAMAS?: melalui 3 tahap indepth interview adalah: dimensi content, accuracy, format, ease of use, timeliness, dan speed, semua dinilai baik oleh mahasiswa, 4) Direkomendasikan bahwa ?LAMAS? layak dimanfaatkan sebagai: 1) materi dan media unggulan untuk pembelajaran SDIDTK bagi mahasiswa, 2) materi dan media pelatihan SDIDTK bagi tenaga kesehatan dan guru PAUD, 3) media pembelajaran SDIDTK yang layak dikembangkan melalui penelitian lanjutan. Kesimpulan: Perancangan ?LAMAS? terlaksana dengan baik. Saran: Direkomendasikan sebagai media pembelajaran SDIDTK bagi mahasiswa dan tenaga kesehatan, serta layak dikembangkan melalui riset lanjutan menjadi media yang ideal dalam pembelajaran SDIDTK. Kata Kunci: laboratorium maya, SDIDTK, pertumbuhan, perkembangan, anak
BERBAGAI FAKTOR PENGHAMBAT IMPLEMENTASI SISTEM INFORMASI KESEHATAN DI INDONESIA Nugroho, Heru Santoso Wahito; Sillehu, Sahrir
2-TRIK: TUNAS-TUNAS RISET KESEHATAN Vol 5, No 2 (2015): Mei 2015
Publisher : WAHANA RISET KESEHATAN

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Heru Santoso Wahito Nugroho (Jurusan Kebidanan, (Politeknik Kesehatan Kemenkes Surabaya) Sahrir Sillehu (STIKes Maluku Husada) ABSTRAK Pendahuluan: Masih banyak permasalahan dalam penerapan sistem informasi kesehatan di Indonesia yaitu ?redundant? data, duplikasi kegiatan, kualitas data, data tidak sesuai dengan kebutuhan, ketidaktepatan waktu laporan, umpan balik yang tidak optimal, pemanfaatan informasi yang rendah, dan sumberdaya yang tidak efisien. Studi ini bertujuan mengidentifikasi faktor-faktor penghambat implementasi sistem informasi kesehatan di Indonesia berdasarkan hasil-hasil penelitian terdahulu. Metode: Studi menerapkan metaanalisis terhadap hasil-hasil penelitian terdahulu tentang faktor penghambat dalam implementasi sistem informasi kesehatan, lalu diklasifikasikan berdasarkan adanya kesamaan ciri. Hasil: Ditemukan adanya faktor penghambat dari lima macam komponen yaitu: 1) health informastion system resorces (sumberdaya manusia, keuangan, logistik, serta teknologi informasi dan komunikasi), 2) indicators, 3) data management, 4) information products (produk-produk informasi), dan dissemination and use. Di sisi lain tidak ditemukan faktor penghambat dari komponen data resources. Kesimpulan: faktor penghambat implementasi sistem informasi kesehatan di Indonesia mencakup komponen sumberdaya, indikator, manajemen data, produk informasi, dan diseminasi dan penggunaan. Saran: Diharapkan upaya peningkatan sistem informasi kesehatan diprioritaskan pada faktor sumberdaya sistem karena komponen ini berdampak bagi komponen-komponen berikutnya, khususnya manajemen data, produk informasi, serta diseminasi dan penggunaan. Kata kunci: Sistem informasi kesehatan, penghambat implementasi