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All Journal Jurnal Kesehatan Masyarakat (JKM) CENDEKIA UTAMA Jurnal Kedokteran dan Kesehatan Jurnal SOLMA JITK (Jurnal Ilmu Pengetahuan dan Komputer) Journal of Public Health for Tropical and Coastal Region Jurnal Manajemen Informasi dan Administrasi Kesehatan Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JSAI (Journal Scientific and Applied Informatics) Jurnal Abdi Masyarakat (JAM) PREPOTIF : Jurnal Kesehatan Masyarakat Placentum: Jurnal Ilmiah Kesehatan dan Aplikasinya Jurnal Ilmu Kesehatan Masyarakat Berkala MAHESA : Malahayati Health Student Journal Jurnal Pengabdian Masyarakat (ABDIRA) Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Sehat Rakyat: Jurnal Kesehatan Masyarakat International Journal of Health and Pharmaceutical (IJHP) Journal Research of Social Science, Economics, and Management Pro Health Jurnal Ilmiah Kesehatan Jurnal Pengabdian Masyarakat Nasional Jurnal Kesehatan The Journal of Educational Development International Journal Of Public Health Jurnal Sains dan Kesehatan JCOSIS (Journal Computer Science and Information Systems)
Nur Ani
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Veterinary Other

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Aplikasi Pemantauan Lalu Lintas Kapal di Perairan Laut dengan Menggunakan Metode Haversine Formula Ani, Nur; Catra Pratama, Suga; Aziz, Faisal; Fardiansyah, Dwiki
JSAI (Journal Scientific and Applied Informatics) Vol 6 No 3 (2023): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v6i3.6443

Abstract

By leveraging spatial data, new approaches to vessel traffic safety risk assessment can be developed, enabling a better understanding of vessel trajectories and improving overall maritime safety in congested and hazardous aquatic environments. This study aims to design an application for monitoring ship movement traffic in marine waters by applying the Haversine Formula algorithm. This method is used for calculating the distance between the nearest ports from the position of the ship, this aims to facilitate decision making in case of emergencies. From the experimental results, the comparison of values with Google Maps gets an average of 10.3 with the smallest difference of 2 and the largest 34, this still indicates that the calculation of the estimated distance of the ship to the nearest port using the haversine formula in the ship traffic monitoring dashboard system has slightly better accuracy than using the Google Maps application. The design of the system prototype has been successfully carried out based on the design of use case diagrams, activity diagrams, and class diagrams as well as the design of the interface display, has modules including; traffic module, ship module, voyage module, history module, port module.
Penerapan Algoritma Term Frequency-Inverse Document Frequency (TF-IDF) Untuk Fitur Pencarian Dokumen Standar Nasional Indonesia Ani, Nur; Yosephine Sinaga, Desi; Junior, Nickolas; Doni Munggaran, Muhamad
JSAI (Journal Scientific and Applied Informatics) Vol 6 No 3 (2023): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v6i3.6504

Abstract

Information about the Indonesian National Standard (SNI) is already available on the Ministry of Industry's Pustand website and also the BSN website. The SNI search process that is less effective and must be done on different websites will make it difficult for users and business actors. Therefore, the SNI search website using keywords is a solution that will facilitate the SNI search process. SNI search with keywords where users enter the words to be searched on the website and with the TF-IDF algorithm the website will appear any SNI that matches the keyword. In its application, the keywords entered by users on the SNI search website will go through preprocessing first, namely tokenizing, filtering, then stamming, and the TF-IDF algorithm will combine two methods, namely the concept of the frequency of the appearance of terms in an SNI document and inverse back documents that have the same meaning from the keywords entered by users into the system. This application will make it easier for business actors who want to find out about SNI for the product to be produced so that when the product already exists, business actors only need to register the product to be standardized in accordance with the applicable SNI according to the product description.
Analisis Faktor Kepercayaan dan Kepuasan Pengguna Website Marketplace: Studi Empiris pada E-Commerce Lazada Hari Haji, Wachyu; Ratnasari, Anita; Ayumi, Vina; Noprisson, Handrie; Ani, Nur
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 3 (2024): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i3.7476

Abstract

This study aims to identify the factors influencing trust and user satisfaction in online marketplaces by applying the DeLone & McLean information system success model. Data were collected through an online questionnaire distributed to Lazada marketplace buyers in Indonesia. The empirical results indicate that trust is a key predictor in determining the quality of sellers and their ability to provide the best services. Statistically, the first hypothesis (H1) shows a significant influence of website reputation on user trust (**T-Stat = 8.50; Sig = *). The second hypothesis (H2), regarding the influence of perceived website size on trust, is not significant (T-Stat = 1.42; Sig = NS). The third hypothesis (H3) demonstrates a significant positive relationship between trust and user satisfaction with the website (**T-Stat = 5.62; Sig = *). The fourth hypothesis (H4) confirms a highly significant positive relationship between trust and perceived website quality (**T-Stat = 14.59; Sig = *). This study recommends that online marketplaces enhance the prestige of sellers and maintain customer trust, as these factors play a critical role in improving user satisfaction when shopping on online marketplaces.
Forest Fire Detection Using Transfer Learning Model with Contrast Enhancement and Data Augmentation Ayumi, Vina; Noprisson, Handrie; Ani, Nur
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 13 No. 1 (2024)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v13i1.75692

Abstract

Forest damage due to fire is unique of the catastrophes that can disrupt and damage the existing ecosystem. There needs to be a quick response to fires because disaster management takes longer, and the impact of the damage will be more severe. To process images to detect fire in the forest, we need to build a suitable deep-learning model. This study proposed research on forest fire detection using an Xception and MobileNet model. Moreover, this research optimizes the accuracy of the model by applying Contrast-Limited-Adaptive-Histogram-Equalization (CLAHE) and data augmentation to tackle the problem of the forest fire image dataset. Based on the experiment, MobileNet with CLAHE obtained 99,66% accuracy in the test phase. In the same phase, MobileNet with CLAHE obtained a value F1-score of 1.00, a value of precision of 0.99, and a value of recall of 1.00. If compared to other model performances, MobileNet with CLAHE obtained the best result.
Model GHT-SVM for Traffic Sign Detection Using Support Vector Machine Algorithm Based On Gabor Filter and Top-Black Hat Transform Marissa Utami; Noprisson, Handrie; Ayumi, Vina; Dwika Putra, Erwin; Utami, Marissa; Ani, Nur
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 13 No. 3 (2024)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v13i3.75778

Abstract

A factor that can hinder the detection and recognition of traffic signs is the variation in lighting in the image of traffic signs. This study aims to detect traffic symbols using Gabor Filter (GFT), Top Hat Transform (THT), and Black Hat Transform (BHT) methods on the Support Vector Machine (SVM) algorithm for traffic sign dataset images with data problems that tend to have dark backgrounds at night and bright backgrounds during the day. From the experimental results, GHT-SVM gets the highest accuracy compared to HSV-SVM, HSV-RF, HSV-KNN, and H2T-SVM models. Based on experimental results, H2T-SVM from HOG ⊕ ENT ⊕ BHT ⊕ SVM results get the best accuracy of 86.42%. The Gabor Filter (GFT) parameters used are the number of filters with a value of 16, ksize with a value of 30, sigma with a standard deviation value of 3.0, lambd with a sinusoidal factor value of 10.0, gamma with a spatial aspect ratio value of 0.5 and psi with a phase offset value of 0 while the Top Hat Transform (THT) and Black Hat Transform (BHT) methods use filterSize sizes with values (3, 3).
Formulasi Body Scrub Beras Merah (Oryza nivara) dan Madu (Mel depuratum) sebagai Pengangkat Sel Kulit Mati: A Body-Cleaning Plan of Red Rice (Oryza nivara) and Honey (Mel depuratum) to Eliminate Dead Skin Cells Ani, Nur; Paulitan, Alsih Priskila Gani
Jurnal Sains dan Kesehatan Vol. 6 No. 6 (2024): J. Sains Kes.
Publisher : Fakultas Farmasi, Universitas Mulawarman, Samarinda, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25026/jsk.v6i6.2356

Abstract

Earthy-colored rice contains flavonoids, which have the capability of being cancer prevention agents that help kill and settle free revolutionaries. In the interim, honey can be utilized as a humectant and prevent dry skin. This exploration means figuring out how to make a body-clean plan from red rice (Oryza nivara.) and honey (Mel depuratum) to eliminate dead skin cells with shifting fixations, to be specific, 4.5%, 6.5%, and 8.5%. This exploration utilizes subjective techniques, and the consequences of the examination are that red rice and honey can be figured out in body scour arrangements with differing groupings of 4.5%, 6.5%, and 8.5%, and details of red rice (Oryza nivara) and honey (Mel depuratum) show that 3 definitions with convergences of 4.5%, 6.5%, and 8.5% have great actual quality tests and meet the necessities. Keywords:          plan, body scour, earthy-colored rice, honey, dead skin cells   Abstrak Beras merah mengandung flavonoid yang berfungsi sebagai antioksidan yang membantu menetralkan dan menstabilkan radikal bebas. Sedangkan madu dapat digunakan sebagai humektan dan mencegah kulit kering. Penelitian ini bertujuan untuk mengetahui cara pembuatan formulasi sediaan body scrub beras merah (Oryza nivara.) dan madu (Mel depuratum) sebagai pengangkat sel – sel kulit mati dengan variasi konsentrasi yaitu 4,5 %, 6,5 % dan 8,5 %. Penelitian ini menggunakan metode kualitatif dan hasil penelitian yaitu Beras merah dan madu dapat diformulasikan dalam sediaan body scrub dengan variasi konsentrasi 4,5%, 6,5% dan 8,5% dan Formulasi sediaan beras merah (Oryza nivara) dan madu (Mel depuratum) menunjukkan bahwa 3 formulasi dengan konsentrasi 4,5%, 6,5% dan 8,5% memiliki uji mutu fisik sediaan yang baik dan memenuhi syarat. Kata Kunci:         formulasi, body scrub, beras merah, madu, sel-sel kulit mati
MODEL OF CYBERBULLYING DETECTION ON SOCIAL MEDIA USING MULTI-LABEL DEEP LEARNING: A COMPARATIVE STUDY Lemi Iryani; Junaidi Junaidi; Paisal Paisal; Mariana Purba; Nia Umilizah; Bakhtiar Bakhtiar; Nur Ani
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 4 (2025): JITK Issue May 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i4.6004

Abstract

Cyberbullying is the deliberate act of using technology to harm others. This study aims to analyze 400 Instagram comments obtained via API from previous research. The data were labeled into three classes: negative (containing cyberbullying), positive (non-bullying, supportive), and neutral (neither positive nor negative). The data for experiment was divided into 70% for training and 30% for testing. The research methodology consists of three main stages. The first stage is text preprocessing, which includes tokenization (splitting comments into tokens), filtering (removing unimportant words or stop-words), and stemming (converting words with affixes into their root forms). The second stage is classification analysis using BiLSTM, LSTM, RNN, and CNN-1D methods. The third stage is evaluation by comparing the model's classification results with manually labeled data using accuracy as the evaluation metric. The results show that the BiLSTM model performed the best, achieving an accuracy of 98.51% on the training data and 81.82% on the testing data. The BiLSTM method used in this study can be further adapted to enhance the effectiveness of cyberbullying detection in various applications.
ANALISA RISK ASSESMENT BERDASARKAN PERMENKES NO. 25 TAHUN 2019 DI UNIT LABORATORIUM, LPFK KEMENKES X Ani, Nur; Wartini, Wartini; Julia, Pertiwi; Titik, Haryanti; Iik, Sartika
Jurnal Ilmu Kesehatan Masyarakat Berkala (JIKeMB) Vol 6 No 2 (2024): NOVEMBER 2024
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/jikemb.v6i2.6346

Abstract

Urgency: Working in a laboratory often brings us into contact with hazardous chemicals, flammable materials, sharp objects, blood, hazardous specimens, and various heavy equipment. Based on a preliminary study on December 8, 2023, the LPFK Kemenkes Banjarbaru is an agency that has collaborated with FKMIK in terms of the Tri Dharma of Higher Education. The results of a preliminary study conducted on December 8, 2023 at the LPFK Kemenskes Banjarbaru, it is known that in the work process there are potential risks whose risk profiles and risk categories are not yet known. Where these risks will interfere with organizational processes and must be controlled. Objective: This study aims to identify hazards, determine the level of danger, group risk profiles and risk categories. The importance of this research is to reduce the risk of work accidents, making it one of the references for reducing the number of work accidents. Method: This type of research is descriptive qualitative, the research variables used are single variables, namely risk assessment/risk management, the targeted outputs in this study are indexed publications in Sinta 3 and pocket books. Result : The results of risk identification in the laboratory work unit at LPFK X based on the assessment of the standard of Permenkes No. 25 of 2029 have the potential for Quality risk hazards and K3 risk hazards as stated in the risk code LPDP.01.01 to LPDP.01.12. The results of the risk assessment analysis have the potential for low risk hazards for 3 activities, medium risk for 8 activities and high risk for 1 activity. The results of the risk category based on the standard assessment have the risk categories of Legal Risk, Reputation Risk, Operational Risk, Financial Risk, and Compliance Risk.
Relationship Between Work Attitude and Musculoskeletal Disorders in Central Weaving Industry Craftmen in Dalangan Village, Tawangsari District, Sukoharjo Regency Arista Ririn Yulianti; Wartini Wartini; Nur Ani; Iik Sartika
International Journal of Public Health Vol. 2 No. 2 (2025): June : International Journal of Public Health
Publisher : Asosiasi Riset Ilmu Kesehatan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijph.v2i2.444

Abstract

Work in the informal sector, such as weaving, has high health risks due to the repetitive nature and static positions required. Weavers often experience Musculoskeletal Disorders (MSDs) due to sitting too long in front of the loom for about 8 hours. This condition causes muscle contractions in the shoulders and neck, reduces blood flow, and causes pain and fatigue. A study of two sarong weaving industries in Dalangan Village found that 70% of 10 workers complained of low back pain. Many workers work with non-ergonomic positions and inappropriate equipment. Improvements in work attitudes are needed so that workers' health and productivity are maintained. This study aims to determine the relationship between work attitudes and MSDs disorders in the central craftsmen of the weaving industry. This research is a quantitative study using observational analysis method with cross sectional approach. The population was 35 from 4 locations with a sample of 35 respondents taken using total sampling technique. Assessment for work attitudes using the Rapid Entire Body Assessment (REBA) and for Musculoskeletal Disorders (MSDs) experienced using the Nordic Body Map (NBM). The results of the Spearman correlation test showed no significant relationship between work attitudes and musculoskeletal complaints with a p-value = 0.261 (p < 0.05) and a correlation coefficient value of r = 0.195 which is included in a weak correlation with a positive direction. The study shows there is no significant relationship between work attitude and musculoskeletal disorders in weaving industry workers. Routine ergonomics education is recommended to prevent complaints and maintain sustainable occupational health.
Relationship Between Lighting Intensity and Eye Fatigue in Workers of the Weaving Industry Central in Dalangan Tawangsari Village, Sukoharjo Susi Purnama Afrilia; Iik Sartika; Wartini Wartini; Nur Ani
International Journal of Public Health Vol. 2 No. 2 (2025): June : International Journal of Public Health
Publisher : Asosiasi Riset Ilmu Kesehatan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijph.v2i2.464

Abstract

Eye fatigue is a common condition often experienced by workers in the textile industry when their eyes feel very tired due to prolonged and continuous use in low light conditions. Among textile workers in Dalangan Village, Tawangsari, Sukoharjo, 100% of the 10 respondents experienced eye fatigue due to insufficient lighting intensity that did not meet the standard (300 Lux). This study aims to investigate the relationship between lighting intensity and eye fatigue among textile workers in the central textile industry in Dalangan Village, Tawangsari, Sukoharjo. This is a quantitative study using observational analysis with a cross-sectional approach. Lighting intensity was measured using a lighting measurement observation sheet with a Lux Meter, while eye fatigue was measured using a questionnaire. The study population consisted of 35 workers, and the sample was selected using total sampling. Based on the results of the chi-square test analysis, a significant relationship was found between lighting and eye fatigue among textile workers, with a p-value of <0.05 and a p-value of 0.039. The analysis yielded a PR value of 0.727, meaning that respondents with inadequate lighting have a 0.727 times higher risk of experiencing eye fatigue compared to respondents with adequate lighting. We recommend that weaving workers pay more attention to eye health and ensure that the lighting levels used comply with standards.
Co-Authors Aminuddin, Arief Andi Nugroho, Andi Anisa , Nur Anita Ratnasari ARDIANSYAH ARDIANSYAH Arham Hanif Febria Ariansyah Arif Wibawa, Prasetya Arista Ririn Yulianti Awusi, Riati Yulia Emanuel Ayudia Johar, Syefira Ayumi, Vina Aziz, Faisal Bagus Priambodo Bakhtiar, Bakhtiar. Beknazar, Achmad Hait Aliyumni Catra Pratama, Suga Desi Ramayanti Dewi Puspito Sari, Dewi Puspito Doni Munggaran, Muhamad Elissa Maharani, Nine Fardiansyah, Dwiki Fiqi Nurbaya Iik Sartika Iik, Sartika Indah Banuwati, Tiara Indhun, Qomariah Irawan, Bibit Julia, Pertiwi Jumaryadi, Yuwan Junaidi Junaidi Junior, Nickolas Kameswara, Gilang Mahesa Khoirunisa, Asahra Kurniawan Kusnendar, Yustinus Krisna Lemi Iryani Lutfiana Kusumawati, Lutfiana Maharani, Nine Elissa Mariana Purba Marissa Utami Maulia, Putri Maysyanda, Charista Nia Umilizah Noprisson, Handrie Nugraho, Farid Setyo Nugroho, Farid Setyo Nur Ismawati, Nur Paulitan, Alsih Priskila Gani Puji Hastuti Puspito Sari, Dewi Putra, Erwin Dwika Rahardjo, Budhi Rinto Priambodo Sari, Noviana Ristika Sartika , Iik Sarwati Rahayu Sholihah, Imrok Atus Siti Maesaroh Susanti, Ika Yani Susi Purnama Afrilia Syamsiar, Syamsiar Syefira Ayudia Johar Titik Haryanti Titik, Haryanti Trapsilo, Firdaus Yuli Utami, Amrih Gancar Wachyu Hari Haji Wachyu Hari Haji Wartini Wartini Wartini Wartini Wartini, Wartini Widyatama, Fer Dila Yosephine Sinaga, Desi