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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jupiter Creative Information Technology Journal Prosiding Seminar Nasional Pakar Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Algoritme Jurnal Mahasiswa Teknik Informatika Informatics and Enginering Dedication Publikasi Hasil Pengabdian Kepada Masyarakat. MDP Student Conference Jurnal Pengabdian Masyarakat Nian Tana Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
Johannes Petrus
Universitas Multi Data Palembang
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Other

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Penentuan Tingkat Kerontokan Rambut Kepala Pria dengan Metode Fuzzy Inference System Sugeno Karuna, Eric; Petrus, Johannes
Algoritme Jurnal Mahasiswa Teknik Informatika Vol 3 No 2 (2023): April 2023 || Algoritme Jurnal Mahasiswa Teknik Informatika
Publisher : Program Studi Teknik Informatika Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/algoritme.v3i2.4204

Abstract

Abstrak Rambut kepala merupakan organ tubuh dari manusia yang memiliki bentuk seperti helaian benang yang tumbuh di kulit dengan mengandung banyak keratin serta dapat muncul dari lapisan epidermis. Terdapat berbagai faktor yang dapat mengakibatkan perubahan kondisi kulit kepala dan rambut seperti faktor usia lanjut, depresi, berkurangnya aktifitas kelenjar minyak dikulit kepala, gangguan pembuluh darah, gangguan hormon, pengaruh kosmetika, paparan sinar matahari secara terus menerus dan kurangnya makanan yang bergizi untuk kepentingan pertumbuhan rambut. Penelitian ini melakukan perancangan model Fuzzy Sugeno untuk menentukan tingkat kerontokan rambut kepala pada pria berdasarkan faktor-faktor penyebabnya. Salah satu tujuan dalam penelitian ini adalah untuk mengetahui tingkat kerontokan rambut kepala pada pria menggunakan metode Sugeno. Pada model Fuzzy Sugeno mendapatkan hasil yang rendah dalam menentukan tingkat kerontokan rambut kepala pada pria, yaitu memperoleh nilai error sebesar 114,870 untuk nilai MSE dan 5,73% untuk nilai MAPE.
Pelatihan Manajemen Website Rumah Sakit Khusus Gigi dan Mulut Provinsi Sumatera Selatan Nur Rachmat; Johannes Petrus
JPMNT JURNAL PENGABDIAN MASYARAKAT NIAN TANA Vol. 4 No. 1 (2026): Januari: Jurnal Pengabdian Masyarakat Nian Tana
Publisher : Fakultas Ekonomi & Bisnis, Universitas Nusa Nipa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59603/jpmnt.v4i1.1187

Abstract

The Special Dental and Oral Hospital of South Sumatra Province has an official WordPress-based website (https://rsgigimulut.co.id/) that functions as a medium for information dissemination, communication, and public services to the community. This website is expected to provide accurate, up-to-date, and easily accessible information for users. However, in practice, the website management staff still face challenges and limitations in independently managing and updating the content, resulting in the suboptimal utilization of the website’s potential. This community service activity aims to provide website management training for the staff by utilizing the WordPress Content Management Sistem (CMS) so that they are able to manage the website effectively and sustainably. The training was conducted on August 11, 2025, in the third-floor meeting room of the Special Dental and Oral Hospital of South Sumatra Province, involving two website management staff members. The implementation methods included lectures, demonstrations, and hands-on practice covering the introduction to the WordPress interface, page layout customization, the addition of new posts and pages, menu creation and management, as well as tips on content management and website maintenance. The results of the training indicate an improvement in participants’ understanding and skills in independently managing the website, which has a positive impact on enhancing the quality of public information presentation and strengthening the hospital’s digital services.
KLASIFIKASI MAMALIA MENGGUNAKAN EXTREME GRADIENT BOOSTING BERDASARKAN FITUR HISTOGRAM OF ORIENTED GRADIENT Yohannes; Johannes Petrus
BETRIK Vol. 13 No. 03 (2022): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/e2t7t733

Abstract

Mammals are one type of animal that has many characteristics and characteristics.The shape of the face in each type of mammal has a similar shape. The faces of mammals in theform of frontal images are a challenge in image classification. In this study, the Histogram ofOriented Gradient (HOG) is used as a feature of the facial shape of mammals. HOG is used as astrengthening feature in the classification process using the eXtreme Gradient Boosting(XGBoost) method. The test was carried out using a dataset of frontal facial imagery ofmammals consisting of 15 species. The results of the tests show that the XGBoost method with theHOG feature is able to provide better classification results for mammals than without the HOGfeature. This is indicated by an increase in the precision value of 0.61; recall of 0.62; and an f1-score of 0.60 on XGBoost with HOG feature which is almost double that of XGBoost withoutHOG feature.
Co-Authors Antonius Wahyu Sudrajat Dafid Dafid Ermatita - Erwin, Erwin Idahm Cholid Inayatullah, Inayatullah Indrawan Indrawan Karuna, Eric Niko Pirnando, Hendra Nata Nur Rachmat Sukemi Sukemi Tinaliah, Tinaliah Wahyu Sudrajat Wiwik Handayani Yohannes, Yohannes Yulistia Yulistia