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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) TEKNIK INFORMATIKA JURNAL SISTEM INFORMASI BISNIS Bulletin of Electrical Engineering and Informatics POSITIF Journal of Tropical Biodiversity and Biotechnology KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) JOIV : International Journal on Informatics Visualization Jurnal Komputasi Jurnal SOLMA Jurnal Teknoinfo Jurnal Elektronika dan Telekomunikasi Jurnal Tekno Kompak Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pengabdian Kepada Masyarakat (JPKM) Tabikpun Journal of Applied Data Sciences Journal of Multidisciplinary Applied Natural Science Buguh: Jurnal Pengabdian Kepada Masyarakat Jurnal Pepadun AMMA : Jurnal Pengabdian Masyarakat Integra: Journal of Integrated Mathematics and Computer Science Journal of Digital Market and Digital Currency
Admi Syarif
Jurusan Ilmu Komputer, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Lampung
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Nursing Physics Social Sciences Other

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Journal : Jurnal Teknoinfo

 1 
IMPLEMENTASI METODE PEMBOBOTAN BERBASIS ATURAN DAN METODE PROFILE MATCHING PADA SISTEM PAKAR MEDIS UNTUK PREDIKSI RISIKO HIPERTENSI Agus Wantoro; Admi Syarif; Khairun Nisa Berawi; Kurnia Muludi; Sri Ratna Sulistiyanti; Sutyarso Sutyarso
Jurnal Teknoinfo Vol 15, No 2 (2021): Juli
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v15i2.1523

Abstract

Cardiovascular is a disease that often causes death. One of the cardiovascular diseases that often cause death is the risk of Hipertensi. The highest risk factors for premature death and disability in the world are caused by smoking habits, high systolic blood pressure, and increased blood sugar levels. This death factor is because people with Hipertensi generally do not experience any symptoms until their blood pressure is too high which can cause death. Efforts that can be made are by utilizing information technology in the form of a medical expert system to Kelasify the risk of Hipertensi. This study aims to develop a medical expert system in a different way using rule-based weighting methods and profile matching. The weighting method is used to determine the risk weight based on patient variables, while the profile matching method is used to calculate the risk Kelasification based on the core factor and secondary factor variables on the risk of Hipertensi. System evaluation is carried out by comparing asset data taken from the Pima Indian Hipertensi Data (NHANES) with results from the system. The results of the comparison show that the accuracy of the proposed system is 96.67%. The proposed system is also compared with other Kelasification methods such as decision tree, Random Tree, Decision Stump, KNN, Naïve BaYa, Deep Learning, and Rule Induction. Based on the comparison results, the proposed system has a better level of accuracy, therefore the system developed can be used to Kelasify risks for other types of diseases.
SYSTEMATIC REVIEW: PERKEMBANGAN MACHINE LEARNING PADA SPERMA MANUSIA Aristoteles Aristoteles; Admi Syarif; Favorisen R Lumbanraja
Jurnal Teknoinfo Vol 17, No 1 (2023): Vol 17, No 1 (2023): JANUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i1.2078

Abstract

Reproduksi merupakan proses dimana organisme memperbanyak diri yang tujuannya adalah mempertahankan kelangsungan hidup spesiesnya. Penelitian ini bertujuan untuk mengetahui perkembangan reproduksi pada manusia. Studi ini merupakan penyusunan studi literatur yang dilakukan dengan penelusuran di Google dan Google Scholar yang menggunakan kata kunci Sperma, Fertilisasi dan Reproduksi Manusia. Dari hasil penelusuran dan pemahaman jurnal didapatkan artikel yang masuk kedalam kriteria inklusi, bahwa semakin meningkat kemajuan tentang penelitian yang mengaitkan dengan kata kunci fertilisasi, sperma dan juga reproduksi manusia. Terdapat juga faktor-faktor yang bisa mempengaruhi tingkat kesuburan, serta terdapat pula aplikasi yang dapat mendeteksi tingkat kesuburan sperma.
Co-Authors Agus Rahardi, Agus Agus Wantoro Agus Wantoro AGUSTINA RAHAYU Akmal Junaidi Ami Zuraida Andrian, Rico Anggi Puspitasari Anggun N. Azizah Ani Kurniawati Aqshal Dwi Setiawan Arafia Isnayu Akaf Ari Ardianto Arie Setya Putra Aristoteles, Aristoteles Asmanto, Budi Ayu Nadila Ayu Sangging, Putu Ristyaning Azi Mediantara Bambang Hermanto Dedy Miswar Deswita Sari Dimas A. Dhafa Dwi Sakethi Erika Fadia Salsabila Faiqa Marina Fatimah Fahurian Fazri, Yudistira Febi Eka Febriansyah Fitriyana, Silfia Ghraito Arip Greacella Risky Amanda Hari Soetanto Heni Sulistiani Heningtyas, Yunda Iva Mutiara Indah Kendari, Putri Khairun Nisa Krisna Rendi Awalludin Kurnia Muludi Kurnia Muludi Lumbanraja, Favorisen R M Said Hasibuan M. Juandhika Rizky Machudor Yusman Mahfut Maya Asterita Michelle Jovelyna Mohammad Surya Akbar Muhammad Irfan Ardiansyah Muhammad Jamaludin Muhammad Reza Faisal, Muhammad Reza Muhammad Rizki Muhammad Tegar Sabilillah Nabila Z. Muhammad Ni K. Aprilliani Nisa Berawi, Khairun Noverina Rahmaniyanti Novita Dwilestari Nur Indriani Prabowo, Rizky Prabowo, Rizky Putri Ayu Penita Qory Aprilarita Raden Mohamad Herdian Bhakti Rahmat Safe'i Raras Silviana Redy Susanto, Erliyan Salsabila, Diana Shofi, Imam Marzuki Shofiana, Dewi Asiah Sintiya Paramitha Sri Ratna Sulistiyanti Sri Wahyuningsih Sugaluh Yulianti Sukamto, Ika Sumiyarsi Sumaryo Gitosaputro Susiyanti, Endah Sutyarso Sutyarso Syachrul Priyo Wibowo TANJUNG, AKBAR RISMAWAN Timotius Pascha Tristiyanto Tundjung Tripeni Handayani Wahyu Caesarendra Warsito Warsito Wildhan Wahyudi Wulansari, Ossy Endah Dwi Yarmaidi Yarmaidi Yoannisa Egeustin Yodhi Yuniarthe Yokie Rahman Yulia K. Wardani Yulia Kusuma Wardani Yuliyanto, Kurniawan Dwi Zahra, Rizka Aulia