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All Journal Biota: Jurnal Ilmiah Ilmu-Ilmu Hayati Prosiding Jurnal Teknologi Informasi dan Ilmu Komputer Biosaintifika: Journal of Biology & Biology Education BioEksakta : Jurnal Ilmiah Biologi Unsoed Science in Information Technology Letters VIGOR: JURNAL ILMU PERTANIAN TROPIKA DAN SUBTROPIKA Asean International Journal of Business Journal of Global Engineering Research & Science (J-GERS)
Hexa Apriliana Hidayah
Department of Biology, Faculty of Biology, Universitas Jenderal Soedirman, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Immunology & microbiology Veterinary

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Artificial Intelligence for Thyroid Disorders: A Systematic Review Al Hakim, Rosyid Ridlo; Satria, Muhammad Haikal; Arief, Yanuar Zulardiansyah; Setiawan, Antonius Darma; Pangestu, Agung; Hidayah, Hexa Apriliana
Science in Information Technology Letters Vol 2, No 2: November 2021
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/sitech.v2i2.694

Abstract

The thyroid gland plays a very important role in hormonal regulation in the human body. If the thyroid gland has a disorder, it can affect the performance of body functions. The development of artificial intelligence technology today allows an expert such as a doctor to be helped by his work. One of the important roles of artificial intelligence is helping doctors, among others, to diagnose a patient to determine appropriate post-diagnosis care. The study aims to shed light on the role of artificial intelligence in the treatment of thyroid disorders.The thyroid gland plays a very important role in hormonal regulation in the human body. If the thyroid gland has a disorder, it can affect the performance of body functions. The development of artificial intelligence technology today allows an expert such as a doctor to be helped by his work. One of the important roles of artificial intelligence is helping doctors, among others, to diagnose a patient to determine appropriate post-diagnosis care. The study aims to shed light on the role of artificial intelligence in the treatment of thyroid disorders.
Sistem Pakar untuk Diagnosis Penyakit Tiroid dengan Gejala Psikologis Beserta Pengobatan Etnobotaninya Al-Hakim, Rosyid Ridlo; Arief, Yanuar Zulardiansyah; Satria, Muhammad Haikal; Pangestu, Agung; Hidayah, Hexa Apriliana; Setyowisnu, Glagah E.; Prihantini, Prihantini; Setiawan, Antonius Darma; Putri, Esa Rinjani Cantika
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 7: Spesial Issue Seminar Nasional Teknologi dan Rekayasa Informasi (SENTRIN) 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022976763

Abstract

Peran sistem pakar dapat membantu seorang ahli memecahkan masalah di bidang tertentu. Salah satu manfaat dari sistem ahli adalah bahwa ia digunakan untuk mendiagnosis penyakit tertentu atau gejala suatu penyakit. Faktor kepastian (certainty factor) memiliki aturan penting untuk sistem pakar dengan spesialisasi ini. Penyakit tiroid dikorelasikan dengan gangguan psikologis. Dewasa ini, banyak masyarakat masih memanfaatkan tumbuhan sebagai obat-obatan tradisional, dalam kajian ilmu biologi disebut sebagai etnobiologi. Beberapa pengobatan tanaman tradisional untuk penyakit tiroid juga digunakan masyarakat. Namun, belum ditemukannya sistem pakar untuk mendiagnosis penyakit tiroid dengan gejala-gejala psikologis beserta saran tanaman obatnya. Studi ini bertujuan menerapkan sistem pakar untuk mendiagnosis penyakit tiroid dengan gejala psikologis dan saran pengobatan tradisionalnya. Penelitian ini juga mengusulkan aplikasi sistem pakar berbasis Android yang dapat diimplementasikan bagi dokter. Metode penelitian menggunakan metode faktor kepastian dengan inferensi persentase tingkat kepercayaan dan saran tanaman obat tradisional yang bisa digunakan. Pengumpulan data melalui wawancara dokter dan studi literatur relevan untuk data etnobotani. Validasi sistem dilakukan oleh dokter dan ahli botani. Hasilnya adalah sistem pakar ini mampu memberikan validitas di atas 90% untuk penyakit tiroid dan dapat digunakan dokter untuk membantu mendiagnosis pasien dengan indikasi penyakit tiroid beserta gejala-gejala psikologisnya. AbstractThe role of an expert system can help an expert solve problems in a particular field. One of the benefits of the expert system is that it is used to diagnose a specific disease or symptom of a disease. The certainty factor has important rules for the system of experts with this specialty. Thyroid disease is correlated with psychological disorders. Nowadays, many people still use plants as traditional medicines, in the study of biological sciences it is referred to as ethnobiology. Some folk plant treatments for thyroid disease are also used by the public. However, there has not been a finding of an expert system for diagnosing thyroid disease with psychological symptoms along with suggestions for medicinal plants. The study aims to apply an expert system for diagnosing thyroid disease with its psychological symptoms and traditional treatment advice. This study also proposes an Android-based expert system application that can be implemented for doctors. The research method uses the method of certainty factor with inference of the percentage of the level of trust and suggestions of traditional medicinal plants that can be used. Data collection through physician interviews and literature studies is relevant for ethnobotanical data. Validation of the system is carried out by doctors and botanists. The result is that this expert system is able to provide validity above 90% for thyroid disease and can be used by doctors to help diagnose patients with indications of thyroid disease and their psychological symptoms.
Modeling the civil servant discipline in Indonesia: partial least square-structural equation modeling approach Soelaiman, Nur Fauzi; Ahmad, Sharifah Sakinah Syed; Mohd, Othman; Al Hakim, Rosyid Ridlo; Hidayah, Hexa Apriliana
Asean International Journal of Business Vol. 1 No. 1 (2022)
Publisher : Asosiasi Dosen Peneliti Ilmu Ekonomi dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1471.965 KB) | DOI: 10.54099/aijb.v1i1.72

Abstract

Purpose – This paper seeks to discover the factors that influence the supervisor to give the punishment level to civil servant staff—the data being used is a questionnaire to several civil servants in public academic institutions. Methodology/approach – This research used computational tools to classify transgressions into punishment categories (light, medium, or severe) with the model using the data science technique based on the partial least square-structural equation modeling (PLS-SEM) approach. Findings – It was found that the model of civil servant discipline in Indonesia is based on 14 hypotheses from bootstrapping technique and by using data science technique to support the result analysis of PLS-SEM. Novelty/value – This research contributed to providing civil servant supervisors to understand factors that influence the discipline of their staff, so it can be used to determine the punishment categorization.
Diversitas, Deskripsi Tumbuhan dan Sumber Pakan Alami Monyet Ekor Panjang di Perbukitan Kebasen, Banyumas Kusuma, Tegar; Hidayah, Hexa Apriliana; Nasution, Erie Kolya; Hakim, Rosyid Ridlo Al; Rukayah, Siti
Biota : Jurnal Ilmiah Ilmu-Ilmu Hayati Vol 8, No 2 (2023): June 2023
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/biota.v8i2.5174

Abstract

Keanekaragaman tumbuhan merupakan tumbuh-tumbuhan yang terdiri atas beberapa spesies hidup bersama pada suatu tempat. Keberadaan tumbuhan sebagai tempat bernaung saat hujan, tempat berlindung dari pemangsa, dan sumber pakan bagi primata. Monyet ekor panjang ditemukan di Perbukitan Kebasen, Banyumas yang merupakan habitat alami dan menjadi sumber pakan. Penelitian ini bertujuan untuk mengetahui keanekaragaman tumbuhan sebagai pakan monyet ekor panjang. Metode penelitian dengan survei dengan teknik sampling secara transek dan menghitung indeks keanekaragaman (H'). Hasil penelitian diketahui spesies tumbuhan yang tumbuh sebanyak 52 spesies dari 37 familia dengan total 310 individu. Indeks keanekaragaman (H') tumbuhan yang diperoleh pada tingkat pohon sebesar 2,52 atau keanekaragaman spesies sedang, tingkat pancang sebesar 1,79 atau keanekaragaman spesies sedang, dan tingkat semai sebesar 2,66 atau keanekaragaman spesies sedang. Tumbuhan yang dimanfaatkan monyet ekor panjang sebagai pakan sebanyak 15 spesies dari 12 familia. Tumbuhan tersebut meliputi sirsak (Annona muricata), pulai (Alstonia scholaris), pinang (Areca catechu), berenuk (Crescentia cujete), ketapang (Terminalia catappa), keruing (Dipterocarpus verrucosus), ajan kelicung (Dyospyros macrophylla), angsana (Pterocarpus indicus), saga (Adenanthera pavonina), melinjo (Gnetum gnemon), waru (Hibiscus tiliaceus), ilat-ilatan (Ficus callosa), beringin (Ficus benjamina), keming (Ficus microcarpa), dan kelat jambu (Syzygium grande). Bagian-bagian yang dimakan meliputi daun, daun muda, dan buah. 
Co-Authors Agung Pangestu Ahmad, Sharifah Sakinah Syed Al Hakim, Rosyid R Al-Hakim, Rosyid Ridlo Arief, Yanuar Z. Ariep Jaenul Aziztia, Rahayu Nafisah Christiani, Christiani Dwi Nugroho Wibowo Dwi Sunu Widyartini Edy Purwono Hadi Erie Kolya Nasution Insan, Achmad Ilalqisny Islami, Ichsani Nurul Jayawarsa, A.A. Ketut Kusuma, Tegar Mohd, Othman Muhammad Haikal Satria Nagri, Dian Ageng Nuning Setyaningrum Nur Fauzi Soelaiman Prasetyo, Rendie Prihantini Prihantini Pudji Widodo Putri, Esa Rinjani Cantika R Siti Rukayah Rochmatino Rochmatino, Rochmatino Ropiudin . Rosyid Ridlo Al-Hakim S. Sugiharto Setiawan, Antonius Darma Setyowisnu, Glagah E. Sukarsa Widiyanto, Ody Febri Wiwik Herawati Yanuar Zulardiansyah Arief Yolanda, Vanesa