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All Journal PROtek : Jurnal Ilmiah Teknik Elektro Jurnal Keperawatan Muhammadiyah Jiko (Jurnal Informatika dan komputer) Simtek : Jurnal Sistem Informasi dan Teknik Komputer Jurnal Riset Kesehatan Poltekkes Depkes Bandung Oksitosin : Jurnal Ilmiah Kebidanan
Syafruddin Syarif
Departemen Teknik Elektro Program Studi: Teknik Elektro Universitas Hasanuddin Makassar, Makassar, Indonesia
Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Dentistry Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Medicine & Pharmacology Nursing Public Health

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Klasifikasi Motif Citra Kain Sutera Bugis Mengunakan Metode Markerless Marker Zulfahmiz Abd Gani; Syafruddin Syarif; Yuyun Yuyun
PROtek : Jurnal Ilmiah Teknik Elektro Vol 7, No 2 (2020): PRotek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v7i2.1996

Abstract

Silk is one of the national cultural heritage with various motifs and patterns. This research aims to detect and classify the image of the silk cloth based on motive. This research uses Augemented Reality technology with Markerless Marker Tracking method. To display a 3D object, the proposed method uses a special pattern as a marker to recognize the fabric type. As a research sample, the authors used 10 types of bugis silk motifs. From the test results found that markers can detect fabric motifs in bright rooms and undetectable markers in dim rooms. The best distance in detecting markers is 10 cm – 50 cm.  Meanwhile at a distance of 110 cm, the marker cannot be detected.
Virtual Classroom Sebagai Media Pembelajaran Berbasis Android Pada Ranah Kognitif Dan Penilaian Formatif Mahasiswa Diii Kebidanan Daerah Urban Dan Sub Urban Triana Rahmiaty; Syafruddin Syarif; Andi Nilawati Usman
Jurnal Keperawatan Muhammadiyah 2020: EDISI KHUSUS
Publisher : UNIVERSITAS MUHAMMADIYAH SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (151.054 KB) | DOI: 10.30651/jkm.v5i2.4170

Abstract

Objective: This study aims to determine the effect of virtual classroom as an Android-based learning media in the cognitive domain and formative assessment of midwifery students in urban and sub-urban areas.Method: This type of research used in this study is a quasi-experimental design (Quasi experiment) taken with a purposive sampling technique on Midwifery Urban and Sub-urban DIII Students in December 2019 - January 2020. The effect was tested using Chi-square.Results: The results of the analysis using the chi-squre test showed no relationship between the use of virtual classroom as an Android-based learning media in the cognitive domain and in the formative assessment of midwifery students in urban and sub-urban areas.Conclusion: The use of virtual classroom as a medium of learning does not affect cognitive abilities and the feasibility of formative assessment.
APLIKASI BANTU BUTA WARNA BERBASIS ANDROID Zanudin Husain; Syafruddin Syarif; Abdul Latif Arda; Andryanto Aman
JIKO (Jurnal Informatika dan Komputer) Vol 3, No 1 (2020)
Publisher : Journal Of Informatics and Computer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v3i1.1634

Abstract

kami membuat aplikasi kecerdasan buatan yang dapat identifikasi buta warna dan deteksi objek warna, aplikasi ini dibuat pada sistem operasi android dengan memanfaatkan library Open CV dan implementasi nilai HSV (Hue, Saturation, Value) untuk deteksi objek. identifikasi jenis buta warna parsial menggunakan gambar angka yang berwarna sebanyak 12 dan 21 plat motode ishihara yang telah disediakan dalam aplikasi. 100% aplikasi dapat mendeteksi warna merah, jingga, kuning, biru, hijau, dan ungu. hasil uji coba pengguna aplikasi menyatakan bahwa aplikasi ini bermanfaat sebagai aplikasi bantu untuk orang buta warna dalam mengenali warna melalui warna objek.Kata kunci: Android, Buta Warna, HSV, Ishihara, Kecerdasan Buatan, Open CV
PERBANDINGAN EFEKTIVITAS APLIKASI SMART CONTINUITY OF CARE (MONSCA) DAN BUKU KIA TERHADAP DETEKSI DINI FAKTOR RISIKO KEHAMILAN Ismayana; Werna Nontji; Syafruddin Syarif
JURNAL RISET KESEHATAN POLTEKKES DEPKES BANDUNG, Online ISSN 2579-8103 Vol 12 No 2 (2020): Jurnal Riset Kesehatan Poltekkes Depkes Bandung
Publisher : Poltekkes Kemenkes Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (256.237 KB)

Abstract

The implementation of the Maternal and Child Health Program (MCH) aims to determine and increase the range and quality of MCH services effectively and efficiently. Antenatal care provides a platform for important health service functions, including health promotion, screening and diagnosis, and disease prevention so as to produce proper management during pregnancy, childbirth and the puerperium. The purpose of this study was to compare the effectiveness of the application of Smart Continuity of Care and the MCH handbook for early detection of pregnancy risk factors. The research method used was quasi experimental (pretest-posttes only control design). The population in this study were all midwives who worked in the Tanete Puskesmas and Bontobangun Puskesmas and all pregnant women who did antenatal checks at the Tanete Puskesmas and Bontobangun. In this study using a sample of midwives and pregnant women. The sampling technique in this study used purposive sampling. The number of samples was 36 people (18 intervention groups and 18 control groups). Determination of the number of samples of pregnant women using the Lemeshow formula, obtained samples of pregnant women as many as 44 people divided into two groups (22 intervention groups and 22 control groups). The results showed there were differences in effectiveness between early detection of pregnancy risk factors using the MCH handbook and using the Monsca application with p-value <(p = 0.05), in terms of convenience (p = 0,000), speed (p = 0.006), security (p = 0.005) and data accuracy (p = 0,000). So it can be concluded that the use of the Smart Continuity of Care application for early detection of risk factors for pregnancy is more effective without ignoring the use of the MCH book as a tool for MCH services.
Media Edukasi Tanda Bahaya Kehamilan Berbasis Android Untuk Meningkatkan Pengetahuan Ibu Hamil Wahyu Nindi Sayekti; Syafruddin Syarif; Mardiana Ahmad; Etty Nurkhayati; Siti Suciati
Oksitosin : Jurnal Ilmiah Kebidanan Vol. 7 No. 2 (2020): OKSITOSIN : Jurnal Ilmiah Kebidanan
Publisher : Prodi D III Kebidanan Fakultas Ilmu Kesehatan Universitas Ibrahimy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/oksitosin.v7i2.656

Abstract

Education during Antenatal Care (ANC) visits about pregnancy danger signs is important, because it can increase the awareness of pregnant women about pregnancy danger signs so that they quickly and accurately seek health care that will reduce the occurrence of complications. This study aims to produce education products based on android pregnancy danger signals. This study used a Research and Development (R&D) research design method developed by Borg and Gall. The sample in this study was 30 pregnant women using incidental sampling techniques at the Antang Public Health Center, Perumnas Makassar. The statistical test used Wilcoxon Signed Rank Test. Application evaluation was done by using the Technology Acceptance Model (TAM) questionnaire to assess the level of application usability. The results showed that the application was received very well by pregnant women so that the development of health education media about Android-based pregnancy danger signs could increase the knowledge of pregnant women about pregnancy danger signs. Keywords: Education Media Pregnancy Signs, Android, Knowledge of Pregnant Women. ABSTRAK Edukasi selama kunjungan Antenatal Care (ANC) tentang tanda bahaya kehamilan penting dilakukan, karena dapat meningkatkan kesadaran ibu hamil terhadap tanda bahaya kehamilan sehingga secara cepat dan tepat mencari perawatan kesehatan yang akan mengurangi terjadinya komplikasi. Penelitian ini bertujuan menghasilkan produk media edukasi tanda bahaya kehamilan berbasis android. Penelitian ini menggunakan desain penelitian metode Research and Development (R & D) yang dikembangkan oleh Borg and Gall. Sampel pada penelitian ini adalah 30 ibu hamil dengan menggunakan teknik sampling incidental di Puskesmas Antang Perumnas Makassar. uji statistik yang digunakan adalah Wilcoxon Signed Rank Test. Penilaian aplikasi dilakukan dengan menggunakan kuisioner Technology Acceptance Model (TAM) untuk menilai tingkat kegunaan aplikasi. Hasil penelitian menunjukkan bahwa aplikasi diterima sangat baik oleh ibu hamil sehingga pengembangan media edukasi kesehatan tentang tanda bahaya kehamilan berbasis android dapat meningkatkan pengetahuan ibu hamil tentang tanda bahaya kehamilan. Kata kunci : Media Edukasi Tanda Bahaya Kehamilan, Android, Pengetahuan Ibu Hamil.
ANALISIS KESEGARAN IKAN MUJAIR DAN IKAN NILA DENGAN METODE CONVOLUTIONAL NEURAL NETWORK Cakra Cakra; Syafruddin Syarif; Hamdan Gani; Andi Patombongi; Andi Muh Islah
Simtek : jurnal sistem informasi dan teknik komputer Vol. 7 No. 2 (2022): Oktober 2022
Publisher : STMIK Catur Sakti Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51876/simtek.v7i2.138

Abstract

Dalam riset ini, kami melakukan eksperimen implementasi klasifikasi kesegaran ikan mujair dan ikan nila (segar dan tidak segar) berdasarkan mata ikan menggunakan transfer learning dari enam CNN, yaitu Resnet, Alexnet, Vgg-16, Squeezenet, Densenet dan Inception. Dari hasil eksperimen klasifikasi dua kelas kesegaran ikan mujair menggunakan 451 citra menunjukkan bahwa VGG mencapai kinerja terbaik dibanding arsitektur lainnya dimana akurasi klasifikasi mencapai 73%. Dengan akurasi lebih tinggi dibanding arsitektur lainnya maka Resnet relatif lebih tepat digunakan untuk klasifikasi dua kelas kesegaran ikan Mujair, sedangkan ikan nila dengan menggunakan 574 citra menunjukkan bahwa VGG mencapai kinerja lebih baik dibanding arsitektur lainnya dengan akurasi klasifikasi mencapai 57,9%, dengan demikan maka VGG relatif lebih tepat digunakan untuk klasifikasi dua kelas kesegaran ikan Nila.
Co-Authors Abdul Latief Arda Andi Muh Islah Andi Nilawati Usman Andi Patombongi Andryanto A Cakra Cakra Etty Nurkhayati Hamdan Gani Irawati Irawati Ismayana Mardiana Ahmad Siti Suciati Triana Rahmiaty Wahyu Nindi Sayekti Werna Nontji Yuyun Zanudin Husain Zulfahmiz Abd Gani