Article Per Year (5 Year)
p-Index From 2021 - 2026
9.936
P-Index
This Author published in this journals
All Journal Techno.Com: Jurnal Teknologi Informasi Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Teknik Elektro Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Sistem dan Informatika InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sistemasi: Jurnal Sistem Informasi Jurnal Teknologi dan Sistem Komputer JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JURNAL MANAJEMEN BISNIS Jurnal Literasiologi Jurnal Tekno Kompak Jurnal Ilmiah Kebidanan Indonesia (Indonesian Midwifery Scientific Journal) Jurnal Abdidas Jurnal SASAK : Desain Visual dan Komunikasi Jurnal Bumigora Information Technology (BITe) Jurnal Pengabdian UNDIKMA Journal of Electrical Engineering and Computer (JEECOM) Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Jurnal Silva Samalas: Journal of Forestry and Plant Science Jurnal Elkasista ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Inovasi, Evaluasi dan Pengembangan Pembelajaran (JIEPP) Jurnal PRIMED:Primary Education Journal atau Jurnal Ke-SD An Journal of Engineering, Technology and Computing (JETCom) Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Insand Comtech : Information Science and Computer Technology Journal Valid Jurnal Pengabdian Journal of Economics and Management Scienties Prosiding Seminar Nasional CORISINDO Media Pendidikan Matematika
Hairani Hairani
Universitas Bumigora, Mataram, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 89 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 89 Documents
Search

 3   4   5   6   7 
KONSELING BEHAVIORISTIK TERHADAP PENCEGAHAN PRILAKU BULLYING DI SEKOLAH Amelia, Bengi; Ifnaldi, Ifnaldi; Hairani, Hairani
Primary Education Journals (Jurnal Ke-SD-An) Vol 4 No 3 (2024): NOVEMBER
Publisher : Universitas Islam Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36636/primed.v4i3.4882

Abstract

Khasus bullying banyak terjadi di Indonesia, hal tersebut dapat menghambat proses belajar siswa disekolah. Penelitian bertujuan untuk mengetahui pengertian, dampak, dan cara menanggulangi bulyying dengan konseling. Penelitian ini menggunakan pendekatan studi literature tentang teori, dampak,dan cara menanggulanginya dengan konseling. Olweus (1999) mendefinisikan bulyying sebagai masalah psokososial dengan menghina dan merendahkan orang lain secara berulang-ulang dengan dampak negatif terhadap pelaku mempunyai kekuatan yang lebih dibandingkan korban. Beberapa hal dalam pendidikan yang dapat menanggulangi bulyying yaitu dengan melibatkan orang tua, teman sebaya, guru, konselor sekolah, serta seluruh warag sekolah.
THE USE OF LOCAL HERBAL IN ALTERNATIVE AND COMPLEMENTARY THERAPIES AS MIDWIFERY CARE SYNERGISTIC THERAPY IN SASAK ETHNIC Triandini, I Gusti Agung Ayu Hari; Hairani, Hairani
Jurnal Silva Samalas Vol 7, No 2 (2024): Desember 2024
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jss.v7i2.14226

Abstract

Traditional healers are still the main choice of the Sasak tribe to assist with childbirth. The city of Mataram ranks second lowest in terms of the percentage of births assisted by health workers and the third lowest in the West Nusa Tenggara region in terms of the percentage of births in health service facilities because of holistic service experience, culture, education, and outreach to health facilities factors. Traditional health services have been proven for a long time and are used by the community in preventive, promotive, curative, and rehabilitative efforts. This is very useful, especially in areas where access to health services is limited. The term "integrative medicine" in synergistic therapy is used to refer to the combination of conventional and alternative medicine practices that meet the requirements of scientific evidence, safety, and effectiveness. A descriptive, cross-sectional, quantitative method was used to assess 30 traditional healers in the Mataram city area. The complementary therapies in midwifery care help to reduce symptoms such as nausea vomiting and lower back pain, prepare for labor and increase the chances of an uncomplicated birth, increase milk production or reduce pain in perineum wounds, and also to accelerate the recovery of postpartum maternal health conditions using traditional herbal therapy such as pilis, parem, tapel, serbat, boreh. It has many benefits and needs to be introduced to midwives to be more optimal in providing holistic midwifery services.
Edukasi Pencegahan Pernikahan Dini dan Anemia untuk Menurunkan Risiko Stunting di Desa Cikawao Isviyanti, Isviyanti; Triandini, I Gusti Agung Ayu Hari; Hairani, Hairani; Gumangsari, Ni Made Gita; Hidayati, Diana; Gustiya, Sherly Dwi
Lumbung Inovasi: Jurnal Pengabdian kepada Masyarakat Vol. 9 No. 4 (2024): December
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/linov.v9i4.2172

Abstract

Artikel ini melaporkan hasil dari sebuah program pengabdian masyarakat yang bertujuan untuk mengurangi risiko stunting melalui edukasi pencegahan pernikahan dini di Desa Cikawao tepatnya di SMPN 2 Pacet dengan menggunakan pendekatan partisipatif. Program ini memberikan informasi tentang dampak pernikahan dini terhadap kesehatan ibu dan anak serta menawarkan solusi untuk mengatasi masalah stunting dengan mengkonsumsi tablet Fe dan edukasi kesehatan reproduksi untuk pencegahan pernikahan dini. Penilaian dilakukan melalui survei awal dan akhir program untuk mengukur perubahan pengetahuan remaja. Dari hasil perbandingan pre-test dan post-test menunjukkan adanya peningkatan pengetahuan sebelum dan sesudah edukasi sebesar 16.83%. Terdapat perbedaan yang signifikan antara tingkat pengetahuan sebelum dan sesudah penyuluhan pada siswa pada materi yang diberikan. Dengan demikian edukasi dinilai efektif dalam mengubah persepsi tentang pernikahan dini. Education on the Prevention of Early Marriage and Anemia to Reduce the Risk of Stunting in Cikawao Village Abstract This article reports the results of a community service program which aims to reduce the risk of stunting through education on preventing early marriage in Cikawao Village, specifically at SMPN 2 Pacet using a participatory approach. This program provides information about the impact of early marriage on maternal and child health and offers solutions to overcome the problem of stunting by consuming Fe tablets and reproductive health education to prevent early marriage. Assessments are carried out through surveys at the beginning and end of the program to measure changes in youth knowledge. From the results of the pre-test and post-test comparison, it shows that there is an increase in knowledge before and after education (16,83%). There is a significant difference between the level of knowledge before and after counseling students on the material provided. Thus, education is considered effective in changing perceptions about early marriage.
Sistem Pakar Diagnosa Penyakit THT Menggunakan Inferensi Forward Chaining dan Metode Certainty Factor Dirgantara, Bhintang; Hairani, Hairani
Jurnal Bumigora Information Technology (BITe) Vol 3 No 1 (2021)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v3i1.1241

Abstract

Currently, Ear, Nose, and Throat (ENT) has become a disease that is quite common in the world. In Indonesia, people with ENT disease are around 190-230 per 1000 population. The types of diseases studied in this study were Serous Orthitis Media, Nasal Polyps, Acute Pharyngitis, Retrofaryngeal Abscess, and Nafosaryngeal Carcinoma. The purpose of this study was to make an application of an expert system for the diagnosis of ENT diseases using forward chaining inference and certainty factors that can facilitate medical personnel to diagnose types of ENT diseases. The stages of developing an expert system in this study consisted of problem identification for problem domain, knowledge acquisition was used to obtain the MB and MD value of each symptom in ENT disease with the interview method, the design was used to design knowledge representations such as decision tables and inference engine. With the expert system of ENT disease diagnosis, it can make it easier for doctors to make decisions, or the right diagnosis of a symptom that arises in ENT, so that proper treatment is obtained and minimizes the occurrence of misdiagnoses
Thesis Topic Modeling Study: Latent Dirichlet Allocation (LDA) and Machine Learning Approach Hairani, Hairani; Janhasmadja, Mengas; Tholib, Abu; Ximenes Guterres, Juvinal; Ariyanto, Yuri
International Journal of Engineering and Computer Science Applications (IJECSA) Vol 3 No 2 (2024): September 2024
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v3i2.4375

Abstract

The thesis reports housed in the campus repository have yet to be analyzed to reveal valuable knowledge patterns. Analyzing trends in thesis research topics can facilitate the selection of research topics, aid in mapping research areas, and identify underexplored topics.Therefore, this research aims to model and classify thesis topics using Latent Dirichlet Allocation (LDA) and the Naïve Bayes and Support Vector Machine (SVM) methods. This study employs the LDA method for thesis topic modeling, while SVM and Naïve Bayes are used for classifying these topics. The research results show that LDA successfully modeled five of the most popular thesis topics, namely two related to computer networks, two on software engineering, and one on multimedia. For thesis topic classification, the SVM method demonstrated higher accuracy than Naïve Bayes, reaching 92.80% after the data was balanced using Synthetic Minority Oversampling Technique (SMOTE). The implication of this study is that the topic modeling approach using LDA is able to identify dominant thesis topics. In addition, the SVM classification results obtained better accuracy than Naïve Bayes in the thesis topic classification task.
Enhancing Mental Illness Predictions: Analyzing Trends Using Multiple Linear Regression and Neural Network Backpropagation Riosatria, Riosatria; Hairani, Hairani; Anggrawan, Anthony; Syahrir, Moch.
International Journal of Engineering and Computer Science Applications (IJECSA) Vol 3 No 2 (2024): September 2024
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v3i2.4391

Abstract

The increasing number of mental health cases caused by various factors such as social changes, economic pressures, and technological advancements has made it difficult to accurately predict the number of cases, hindering prevention and early intervention efforts. Therefore, developing more accurate, data-driven predictive models is necessary to improve the effectiveness of prevention and intervention. This study aims to develop a predictive model for the number of mental health cases using Multiple Linear Regression and Neural Network Backpropagation methods. The study employs two predictive methods, Multiple Linear Regression and Neural Network Backpropagation to forecast future trends in the number of mental health cases. The findings reveal that the Neural Network Backpropagation method provides more accurate predictions than Multiple Linear Regression in forecasting mental health case trends. Specifically, the Neural Network Backpropagation method resulted in an MAE of 111.39 and a MAPE of 1.77%, while the Multiple Linear Regression method produced an MAE of 115.24 and a MAPE of 1.83%. Thus, the implication of this study is that the Neural Network Backpropagation method can be utilized to predict trends in the number of mental health cases due to its ability to provide highly accurate predictions.
Clustering Analysis of Umrah Pilgrim Data Based on the K-Medoid Method Huda, Dias Nabila; Anggrawan, Anthony; Hairani, Hairani
International Journal of Engineering and Computer Science Applications (IJECSA) Vol 3 No 2 (2024): September 2024
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v3i2.4601

Abstract

The Umrah pilgrimage is becoming increasingly popular among Indonesians, with millions of participants yearly. This trend creates a need for service providers to understand the characteristics of pilgrims to improve service quality, marketing strategies, and competitiveness. Analyzing data on pilgrims helps service providers develop more effective strategies and tailor packages to match their needs, ensuring competitiveness in a growing market. This study aims to clusters Umrah pilgrims based on age, gender, district, and chosen package using the K-Medoid clustering method. This research uses the K-Medoid method for the reason that it is more resistant to noise and outliers compared to other clustering methods. The most centrally located point in the data set is called a ”medoid,” which is an object in a cluster that has the lowest difference to all other objects in the cluster. The results of this study are that the K-Medoid method successfully grouped pilgrims into three clusters: Cluster 1 with 63 members, Cluster 2 with 25 members, and Cluster 3 with 25 members. The findings indicate that the Milad Mastour package is preferred by older pilgrims, primarily from Mataram and West Lombok. The Arbain package is favored by younger pilgrims from the same regions, while adult pilgrims mostly choose the Regular package. The implication of this research is that it can provide insights for service providers to design more specific programs that align with the profiles of pilgrims based on age and district.
Pengaruh Sarana Prasarana dan Kinerja Guru terhadap Hasil Belajar Siswa di SD Negeri Hairani, Hairani; Widayatsih, Tri; Edddy, Syaiful
Jurnal Inovasi, Evaluasi dan Pengembangan Pembelajaran Vol 4 No 3 (2024): Jurnal Inovasi, Evaluasi dan Pengembangan Pembelajaran (JIEPP)
Publisher : ELRISPESWIL - Lembaga Riset dan Pengembangan Sumberdaya Wilayah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54371/jiepp.v4i3.634

Abstract

Penelitian ini bertujuan untuk mengetahui dan menganalisis pengaruh sarana prasarana dan kinerja guru terhadap hasil belajar siswa di Sekolah Dasar Negeri se-Kecamatan Kertapati. Sampel penelitian terdiri dari 153 guru dan 153 siswa yang berasal dari delapan Sekolah Dasar Negeri, dengan dua sekolah mewakili akreditasi A, empat sekolah mewakili akreditasi B, dan dua sekolah mewakili akreditasi C. Metode pengumpulan data menggunakan kuesioner dengan skala Likert. Hasil penelitian menunjukkan bahwa sarana prasarana memiliki pengaruh signifikan terhadap hasil belajar siswa, yang mencakup penggunaan berbagai alat dan media pembelajaran yang membantu proses penyampaian pesan dan informasi. Kinerja guru juga berpengaruh terhadap hasil belajar siswa, di mana guru yang memiliki kualitas kerja baik ditandai dengan kemampuannya dalam merencanakan pembelajaran, melaksanakan proses pembelajaran, dan melakukan penilaian secara efektif. Secara keseluruhan, sarana prasarana dan kinerja guru memiliki pengaruh positif terhadap hasil belajar siswa, yang tercermin dari rata-rata nilai kelulusan yang lebih baik. Oleh karena itu, disarankan agar kepala sekolah mampu mengalokasikan dana secara tepat, terutama untuk perbaikan bangunan sekolah dan penyediaan fasilitas pendukung kegiatan belajar. Selain itu, guru diharapkan dapat merawat dan memanfaatkan sarana prasarana yang tersedia dengan baik, serta melaksanakan tugasnya dengan penuh tanggung jawab untuk meningkatkan prestasi siswa.
Combination Forward Chaining and Certainty Factor Methods for Selecting the Best Herbs to Support Independent Health Azwar, Muhamad; Winarni Sofya, Sri; Malika, Riwayati; Hairani, Hairani; Ximenes Guterres, Juvinal
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 24 No 2 (2025)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v24i2.4485

Abstract

The use of herbal medicine as an alternative treatment is increasingly popular due to its natural benefits and cultural significance. However, a lack of public knowledge about the effectiveness, appropriate dosages, and processing methods of herbal remedies poses a significant barrier to their proper utilization. This knowledge gap often leads to suboptimal or even unsafe usage of herbal medicines. To address this issue, this study proposes an application-based system combining the Forward Chaining and Certainty Factor methods to provide personalized recommendations for the best herbal remedies supporting self-health management. The research aims to enhance accessibility to reliable information on herbal treatments while ensuring accurate and user-specific recommendations. By utilizing the ForwardChaining and Certainty Factor method, this system identifies suitable herbal plants based on the type of disease, processing techniques, recommended dosages, and duration of treatment. Meanwhile, the Certainty Factor method calculates the level of certainty for each recommendation provided. The study’s results showed a validation rate of 90%, indicating that the combination of these two methods effectively bridges the gap between traditional herbal knowledge and modern health needs. This study concludes that the system offers a practical tool for individuals to select and use herbal treatments safely and effectively, promoting better health outcomes.
Expert System for Skin Disease Diagnosis Using the Best First Search Method and Fuzzy Tsukamoto Fahry, Fahry; Adam, M. Awaludin; Hidjah, Khasnur; Azwar, Muhammad; Hairani, Hairani
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 1 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i1.10981

Abstract

The skin is the largest organ and is vulnerable to various diseases, which can spread through direct contact or the environment. Skin diseases are among the ten most common conditions in outpatient care in Indonesia, often caused by poor hygiene and environmental exposure. The limited number of dermatologists makes diagnosing and treating skin diseases more challenging. This study develops an expert system for diagnosing skin diseases using the Best First Search method and Fuzzy Tsukamoto, serving as an alternative or complement to medical diagnosis. Best First Search prioritizes diagnoses based on predefined rules, while Fuzzy Tsukamoto adds flexibility in assessing disease severity. Testing shows that the system achieves an accuracy of 83.3%, demonstrating its potential to assist patients and medical professionals in improving diagnostic efficiency and healthcare quality for skin diseases.
Co-Authors Abdillah, Mokhammad Nurkholis Abdurraghib Segaf Suweleh Abdurraghib Segaf Suweleh Abu Tholib Adam, M. Awaludin Afrig Aminuddin Ahmad Ahmad Ahmad Fathoni Ahmad Zuli Amrullah Amelia, Bengi Amin, Farda Milanda Andi Sofyan Anas Andi, Moh syaiful Anggarawan, Anthony Anthony Anggrawan Arfa, Muhammad Ashadi, Diki Astuti, Ni Luh Budi Ayu Dasriani, Ni Gusti Candra, M. Ade Christine Eirene Christopher Michael Lauw Dadang Priyanto Dedi Aprianto Dedy Febry Rachman Dedy Febry Rahman Deny Jollyta Dian Syafitri Didik Dwi Prasetya Diki Ashadi Dirgantara, Bhintang Donny Kurniawan Dyah Susilowati Dyah Susilowaty Edddy, Syaiful Eka Setiawan, Rian Putra Fahry, Fahry Fatimatuzzahra Fatimatuzzahra Fitra Rizki Ramdhani Gibran Satya Nugraha Gibran Satya Nugraha Gumangsari, Ni Made Gita Gustiya, Sherly Dwi Guterres, Juvinal Ximenes Hadi, M Fawazi Hammad, Rifqi Hartono Wijaya Haryono Haryono Hasbullah Hasbullah Heru Kurnianto Tjahjono Hery Widijanto Hidayati, Diana Huda, Dias Nabila I Gusti Agung Ayu Hari Triandini I Nyoman Switrayana Ida Putu Andika Ifnaldi, Ifnaldi Ilham Saifuddin Indah Puji Lestari Indradewa, Rhian Isviyanti, Isviyanti Janhasmadja, Mengas Jauhari, M. Thonthowi Jupriadi, Jupriadi Juvinal Ximenes Guterres Juvinal Ximenes Guterres Juvinal Ximenes Guterres Kandisa, Amelia Kasiyanto Kasiyanto, Kasiyanto Khairan marzuki Khasnur Hidjah Khurniawan Eko Saputro Kurniadin Abd Latif Kurniawan Kurniawan Lalu Ganda Rady Putra Lilik Nurhayati lnnuddin, Muhammad M. Ade Candra M. Rasyid Ridho Maariful Huda, Muhammad Malika, Riwayati Mardedi, Lalu Zazuli Azhar Mardedi, Lalu Zazuli Azhar Mayadi Mayadi Mayadi Mayadi Mayadi, Mayadi Mayasari, Astri Michael Lauw, Christopher Miftahul Madani Muhamad Azwar Muhamad Azwar, Muhamad Muhammad Arfa Muhammad Innuddin Muhammad Maariful Huda Muhammad Ridho Akbar Muhammad Ridho Hansyah muhammad Syahbudi, muhammad Muhammad Zulfikri Muhammad Zulfikri Muhammad Zulkarnaen Haris Mujahid Mujahid Neny Sulistianingsih Noor Akhmad Setiawan Nurhayati, Lilik Nurul Azmi Nurvianti, Nurvianti Nuzululnisa, Bq Nadila Pahrul Irfan Putu Tisna Putra Qososyi, Sayidina Ahmadal Rahmawati, Lela Ramadhanti Ramadhanti Ramadhanti, Ramadhanti Rifqi Hammad Riosatria, Riosatria Riwayati Malika RR. Ella Evrita Hestiandari Saifuddin Zuhri Saifuddin, Ilham Samsul Hadi Santoso, Heroe Shudiq, Wali Ja'far Soepriyanto, Harry Sofiansyah Fadli Sri Winarni Sofya Sri Winarni Sofya Sudi Prayitno Sukron, Moh Sutarman Sutarman Syahrir, Moch. tadianta m., Winardi aries Teguh Bharata Adji Tri Widayatsih, Tri Triwijoyo, Bambang Krismono Triyanna Widiyaningtyas Umi Hanifah Vidiasari, Herlita Vidiasari, Viviana Herlita Wahyuningsih, Rr. Sri Handari Widiatmoko, Dekki Winarni Sofya, Sri Wira Hendri Wiyanto, Suko Ximenes Guterres, Juvinal Yuri Ariyanto Zilullah Nazir Hadi