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Showing 84 articles found for "Prevention"

ANDROID-BASED SMART SYSTEM FOR FRUIT SELECTION TO PREVENT TODDLER STUNTING

Riansah, Wahyu, Lumban Gaol, Nur Yanti
Abstract: Abstract: Preventing stunting in toddlers is crucial for improving children's health and growth. Stunting occurs due to chronic nutritional deficiencies during the first 1,000 days of a child's life, affecting their height,… ht, cognitive development, and immune system, which can reduce their future potential. Fruits play an important role in a toddler's diet because they are rich in vitamins, minerals, fiber, antioxidants, and other bioactive compounds that support physical growth and brain development. However, selecting the right fruits is vital because some fruits can cause digestive issues or allergies in toddlers. To assist parents in choosing the right fruits, a mobile-based expert system using the Certainty Factor method has been developed. This system provides recommendations based on the toddler's health condition and evaluates the nutritional content of fruits. With this system, parents can ensure that their toddlers receive optimal nutrition, contributing to stunting prevention and ensuring that the toddlers grow up healthy, intelligent, and with full potential in the future Choosing the right fruits and maintaining a balanced nutrition are crucial parts of supporting the sustainability of stunting prevention efforts.             Keywords: certainty factor method; expert system; fruit selection; stunting prevention; toddler nutrition     Abstrak: Pencegahan stunting pada batita sangat penting untuk meningkatkan kualitas kesehatan dan pertumbuhan anak. Stunting terjadi akibat kekurangan gizi kronis pada 1.000 hari pertama kehidupan batita, memengaruhi tinggi badan, perkembangan kognitif, dan sistem imun anak, yang berisiko mengurangi potensi masa depan mereka. Buah-buahan memiliki peran penting dalam pola makan batita, karena kaya akan vitamin, mineral, serat, antioksidan, dan senyawa bioaktif yang mendukung pertumbuhan fisik dan perkembangan otak. Namun, pemilihan buah yang tepat sangat penting karena beberapa buah dapat menyebabkan masalah pencernaan atau alergi pada batita. Untuk membantu orang tua dalam memilih buah yang sesuai, dikembangkan sistem pakar berbasis mobile dengan metode Certainty Factor. Sistem ini memberikan rekomendasi berdasarkan kondisi kesehatan batita, serta mengevaluasi kandungan nutrisinya. Dengan sistem ini, orang tua dapat memastikan bahwa batita mendapatkan nutrisi yang optimal dengan berkontribusi dalam pencegahan stunting dengan memastikan batita tumbuh sehat, cerdas, dan memiliki potensi penuh di masa depan. Pemilihan buah yang tepat dan nutrisi yang seimbang menjadi bagian penting dalam mendukung upaya keberlanjutan pencegahan stunting.   Kata kunci: batita; metode certainty factor; pemilihan buah; pencegahan stunting; sistem cerdas    

EXPERT SYSTEM FOR STUNTING DETECTION IN TODDLERS USING DEMPSTER SHAFER METHOD

Apridonal M, Yori, Maharani, Dewi, Prayoga, J
Abstract: Abstract: Stunting is a chronic or chronic malnutrition that can be seen in the height of toddlers shorter than toddlers their age. the prevalence of toddlers affected by stunting nationally was 37.6 percent (2007) and decreased… ecreased to 35.8 percent (2010). However, it increased to 37.2 percent (2013) and decreased again to 29.9 percent (2018). The data shows an erratic stunting prevalence. Many factors influence stunting, especially parents' knowledge about balanced nutrition that prevents stunting. Prevention of stunting needs to be done by monitoring nutritional status regularly and fulfilling balanced nutrition for toddlers. For early detection of stunting, an expert system using the Dempster Shafer method is needed. The Dempster Shafer method allows decision making based on various possibilities based on symptoms in toddlers. The results of the expert system calculation show that the Dempster Shafer method can detect stunting in toddlers by more than 90%.       Keywords: dempster shafer; expert system; stunting    Abstrak: Stunting yaitu kekurangan gizi menahun atau kronis yang dapat terlihat pada tinggi badan balita lebih pendek dari balita seusianya. pravelensi balita yang terjangkit stunting secara nasional sebesar 37,6 persen (2007) dan mengalami penurunan menjadi 35,8 persen (2010). Namun meningkat menjadi 37,2 persen (2013) dan menurun kembali menjadi 29,9 persen (2018). Data tersebut menunjukkan pravelensi stunting yang tidak menentu. Banyak faktor yang mempengaruhi stunting khususnya pengetahuan orang tua mengenai gizi seimbang pencegah stunting. Pencegahan stunting perlu dilakukan dengan pemantauan status gizi secara berkala dan pemenuhan gizi seimbang Balita. Untuk deteksi stunting sejak dini dibutuhkan seuatu sistem pakar menggunakan metode dempster shafer. Metode dempster shafer memungkinkan pengambilan keputusan berdasarkan berbagai kemungkinan berdasarkan gejala pada balita. Hasil perhitungan sistem pakar menunjukkan bahwa metode dempster shafer dapat mendeteksi stunting balita lebih sebesar 90%. Kata kunci: dempster shafer; sistem pakar; stunting

IMPLEMENTATION OF K-NEAREST NEIGHBOR ALGORITHM FOR CLASSIFICATION OF LUNG CANCER CAUSES

Almeyda, Hanindiya Putri, Khoiri, Zidan Fathannul, Haris, M Sabirin, Alkaff, Nabilah Husen, Sukmadiningtyas, Sukmadiningtyas
Abstract: Abstract: Lung cancer is most deadly cancers in the world. Identification and classification of the causes of understanding lung cancer is essential for developing more effective prevention and treatment strategies. The… issue is that a lot of individuals are unaware about the characteristics and causes of lung cancer. The purpose of this study is to apply the K-Nearest Neighbor (K-NN) algorithm in the classification of the causes of lung cancer and provide education to the public must be aware of the traits of lung cancer patients and, to stay away from the causes of lung cancer. The dataset used consists of 309 samples with 16 relevant attributes. The K-NN algorithm was trained and tested to assess its ability to classify the factors that cause lung cancer. The results showed an accuracy of 90.32%, with a precision for the "YES" class of 96% and the "NO" class of 67%. The recall value for the "YES" class was 92% and for the "NO" class was 80%. The implementation of this algorithm gives good results in classification and can help in early detection and prevention of lung cancer which can be used in the development of more effective prevention and early diagnosis strategies. Keywords: lung cancer; k-nearest neighbor; classification; machine learning     Abstrak: Kanker paru-paru tergolong jenis penyakit kanker yang memperoleh angka kematian paling tinggi di dunia. Identifikasi dan klasifikasi penyebab kanker paru-paru sangat penting untuk pengembangan strategi pencegahan dan pengobatan yang lebih efektif. Masalah yang terjadi adalah banyak orang yang belum mengetahui tentang ciri-ciri dan penyebab-penyebab dari kangker paru tersebut. Tujuan penelitian ini adalah mengimplementasikan algoritma K-Nearest Neighbor (K-NN) dalam klasifikasi penyebab kanker paru-paru serta memberikan edukasi kepada masyarakat banyak agar mengetahui ciri-ciri orang yang mengidap kangker paru-paru dan tentunya untuk menghindari penyebab-penyebab dari kangker paru-paru tersebut. Dataset yang digunakan terdiri dari 309 sampel dengan 16 atribut yang relevan. Algoritma K-NN kemudian dilatih dan diuji untuk menilai kemampuannya dalam mengklasifikasikan faktor-faktor penyebab kanker paru-paru. Hasil penelitian menunjukkan akurasi sebesar 90.32%, dengan skor precision untuk kelas "YES" sebesar 96% dan kelas "NO" sebesar 67%. Nilai recall untuk kelas "YES" adalah 92% dan untuk kelas "NO" sebesar 80%. Implementasi algoritma ini memberikan hasil yang baik dalam klasifikasi dan dapat membantu dalam deteksi dini serta pencegahan kanker paru-paru yang dapat digunakan dalam pengembangan strategi pencegahan dan diagnosis dini yang lebih efektif.   Kata kunci: kanker paru-paru; k-nearest neighbor; klasifikasi; machine learning

IDPS PERFORMANCE ANALYSIS FOR MITIGATING SQL INJECTIONS AND SYN FLOOD ATTACKS

Sahren, Sahren, Dalimunthe, Ruri Ashari, Saputra, Herman, Kurnia Sirni, Dian Yudha
Abstract: Abstract: Cyberattacks like SQL injection and syn flood attacks can threaten the information system security of an organisation or company. The Intrusion Detection and Prevention System (IDPS) is used as a solution to detect,… tect, prevent, and respond to these attacks. However, the effectiveness of IDPS in protecting information systems needs to be evaluated through performance analysis. IDPS performance analysis for mitigating SQL injection and syn flood attacks will use Suricata tools, where performance analysis will include evaluation of system accuracy and efficiency in detecting attacks, as well as the impact of the system on network or information system performance. By doing this performance analysis, it can be seen how effective the IDPS is in providing defences against such attacks. The results of the IDPS performance analysis can help an organisation or company select and implement the right IDPS according to the needs and conditions of the information system. Thus, organisations or companies can improve the security of their information systems from threatening cyber attacks.             Keywords: IDPS; SQL_Injection; Suricata; Syn_Flood_Attack     Abstrak: Serangan cyber seperti SQL Injection dan Syn Flood Attack dapat mengancam keamanan sistem informasi suatu organisasi atau perusahaan. Intrusion Detection and Prevention System (IDPS) digunakan sebagai solusi untuk mendeteksi, mencegah, dan merespons serangan-serangan ini. Namun, efektivitas IDPS dalam melindungi sistem informasi perlu dievaluasi melalui analisis performa. Analisis performa IDPS untuk mitigasi SQL Injection dan Syn Flood Attack ini akan menggunakan tools suricata dimana analisa performa akan meliputi evaluasi terhadap akurasi dan efisiensi sistem dalam mendeteksi serangan, serta dampak dari sistem terhadap kinerja jaringan atau sistem informasi. Dengan melakukan analisis performa ini, dapat diketahui seberapa efektif IDPS dalam memberikan perlindungan terhadap serangan-serangan tersebut. Hasil dari analisis performa IDPS dapat membantu organisasi atau perusahaan dalam memilih dan mengimplementasikan IDPS yang tepat sesuai dengan kebutuhan dan kondisi sistem informasi yang dimiliki. Dengan demikian, organisasi atau perusahaan dapat meningkatkan keamanan sistem informasi mereka dari serangan-serangan cyber yang mengancam.   Kata kunci: IDPS; SQL_Injection; Suricata; Syn_Flood_Attack

ADOPTION AUGMENTED REALITY FOR THE DEVELOPMENT OF MEDIA SOCIALIZATION DRUG ABUSE PREVENTION

Firdaus, Shovi, Dijaya, Rohman, Suprianto, Suprianto
Abstract: Abstract: Drug abuse in Indonesia is currently very worrying because of the lack of information and knowledge about the risks posed by drug abuse. Much information about drug abuse prevention is disseminated through various… ous media such as films, seminars, training, and guidance groups. This study aims to create drug counseling media that uses 3D technology and is created through the Blender 3D tool, by combining text, audio, and video. 3D models of Image objects are represented by Augmented Reality (AR) technology. Application development is made using the MDLC (Multimedia Development Life Cycle) method. The results of this study are the development of an Augmented Reality application for social media for drug abuse using the Trilib Technique, which is a cross-platform 3D model importer. Keywords: Augmented Reality; Drugs; Blender; Trilib; MDLC   Abstrak: Penyalahgunaan narkoba di Indonesia saat ini sangat mengkhawatirkan karena kurangnya informasi dan pengetahuan tentang risiko yang ditimbulkan oleh penyalahgunaan narkoba. Banyak informasi tentang pencegahan penyalahgunaan narkoba disebarkan melalui berbagai media seperti film, seminar, pelatihan, dan kelompok bimbingan. Penelitian ini bertujuan untuk menciptakan media penyuluhan narkoba yang menggunakan teknologi 3D dan dibuat melalui perangkat Blender 3D, dengan menggabungkan teks, audio, dan video. Model 3D objek figur direpresentasikan dengan teknologi Augmented Reality (AR). Pengembangan aplikasi dibuat dengan menggunakan metode MDLC (Multimedia Development Life Cycle). Hasil pada penelitian ini merupakan sebuah pengembangan aplikasi Augmented Reality untuk media sosialiasi penyalahgunaan narkoba dengan menggunakan Teknik Trilib yang merupakan importir model 3d secara runtime dengan lintas platform.   Kata kunci: Augmented Reality; Narkoba; Blender; Trilib; MDLC

IMPLEMENTATION OF OUTPATIENT FAMILY PLANNING INFORMATION SYSTEM WITH WATERFALL

Octaviana, Vina, Syahidin, Yuda, Sari, Irda, Sukmawijaya, Jeri
Abstract: Abstract: Population growth in some regions such as Asia is still high, especially in the number of births in children. Indonesia is one of the many countries whose birth rate growth is still high. With this high birth rate,… ate, it will cause problems for the region such as the problem of uncontrolled population growth if the birth rate continues to be high in addition to the social and economic impact of the region. To reduce the birth rate, the government created a family planning program to minimize the high birth rate. In birth control with this birth control program, contraceptive devices and drugs (ALOKON) are used as a prevention of pregnancy. This is intended to determine the level of allocone use in family planning patients in the outpatient unit and recap reports of birth control patients in the outpatient unit. In addition, the era of digitalization of technology utilization with information systems that have been increasingly developed and advanced, especially in the health sector. The system development method used in this journal is the waterfall method which consists of analysis, system design, implementation, unit testing, and maintenance. The results obtained are in the form of developing implementation results from the design made into a family planning information system in the outpatient unit. This research was made to develop an existing information system and can assist medical record officers in processing data and reports more effectively and efficiently.   Keywords: alokon; growth of birth rate; information system; kb     Abstrak: Pertumbuhan penduduk dibeberapa wilayah seperti di Asia masih tinggi terutama pada angka kelahiran pada anak. Indonesia merupakan salah satu dari sekian banyak negara yang pertumbuhan angka kelahirannya masih tinggi. Dengan tingginya angka pertumbuhan kelahiran ini akan menimbulkan masalah bagi wilayah itu seperti permasalahan pertumbuhan penduduk yang tidak terkendali jika angka kelahiran terus tinggi selain itu berdampak pada kehidupan social dan ekonomi wilayah itu. Untuk menekan angka kelahiran pemerintah membuat program KB (Keluarga Berencana) dalam meminimalisir angka kelahiran yang tinggi. Dalam pengendalian kelahiran dengan program KB ini digunakan alat dan obat kontrasepsi (ALOKON) sebagai pencegah kehamilan. Hal ini ditujukan untuk mengetahui tingkat pemakaian alokon pada pasien KB di unit rawat jalan serta rekapan laporan pasien KB di unit rawat jalan tersebut. Selain itu era digitalisasi pemanfaatan teknologi dengan sistem informasi yang sudah semakin berkembang dan maju, terutama pada bidang Kesehatan. Metode pengembangan sistem yang digunakna pada jurnal ini adalah metode waterfall yang terdiri dari analisis, perancangan system, implementasi, pengujian unit, dan pemeliharaan. Hasil yang diperoleh berupa pengembangan hasil implementasi dari perancangan yang dibuat menjadi system informasi KB di unit rawat jalan. Penelitian ini dibuat untuk mengembangkan system informasi yang telah ada serta dapat membantu petugas rekam medis dalam pengolahan data dan laporan yang lebih efektif dan efisien.   Kata kunci: alokon; kb; pertumbuhan angka kelahiran; sistem informasi

FEASIBILITY ANALYSIS OF REINSURANCE WEBSITE USING THE HEURISTIC EVALUATION METHOD

Rachmat, Adam, Arief, Rifiana
Abstract: Abstract: PT. Energi Mandiri Internasional was established on November 22, 2011 as a reinsurance broker consultant and risk management consultancy to ensure the financial stability of reinsurance service users. The company's… ny's website; energyre-int.com as a place to self advertise the company with an electronic mail feature to answer questions from potential clients. Heuristic evaluation method was used to test the feasibility of the user interface and analyze the appearance of the interface from the energyre-int.com website. This test was conducted using questionnaires with 34 respondents of reinsurance consulting services users. The results obtained from testing on the Severity rating scale and using the Eight Golden Rules are recommendations for improvement on aspects that have a value of 1 which means that there are errors but can be ignored; Help and documentation with a value of 0.99, the Error Prevention aspect with a value of 0.98, and the Match between system and the real world aspect with a value of 0.91.             Keywords: Heuristic Evaluation; Feasibility Analysis; Reinsurance; User interface; Recommendation.     Abstrak: PT. Energi Mandiri Internasional didirikan pada 22 November 2011 sebagai pialang dan konsultan reasuransi dan konsultasi manajemen risiko untuk memastikan stabilitas keuangan dari pengguna jasa reasuransi. Website perusahaan tersebut; energyre-int.com sebagai wadah untuk mengiklankan perusahaan dengan fitur surat elektronik untuk menjawab pertanyaan-pertanyaan calon klien. Heuristic evaluation merupakan metode yang digunakan untuk menguji kelayakan user interface dan menganalisis tampilan antar muka dari website energyre-int.com. Pengujian ini dilakukan menggunakan kuesioner dengan 34 responden pengguna jasa konsultasi reasuransi. Hasil yang didapat dari pengujian dalam skala Severity rating  dan menggunakan aturan Eight Golden Rules adalah rekomendasi perbaikan pada aspek yang memiliki nilai 1 artinya ada kesalahan tapi bisa diabaikan; Help and documentation dengan nilai 0,99, aspek Error Prevention dengan nilai 0,98, dan aspek Match between system and the real world dengan nilai 0,91.   Kata kunci: Evaluasi Heuristik; Analisis Kelayakan; Reasuransi; Antarmuka Pengguna; Rekomendasi.  

Impact Counseling On Integrated Management Of Childhood Illness Influences Attitude Of Parents Brought Child Under Five Years Old Access To Health Facility

Joaquim Pinto, Carlos Boavida Tilman, Jose Dionisio Ximenes, Ana Do Rosario De Jesus Leite
Abstract: Handling diseases in children under five years is very important in public health because they are vulnerable to serious diseases such as pneumonia, diarrhea, malaria and malnutrition. Integrated Management of Childhood… Illness (IMCI) by WHO and UNICEF is a strategy that combines prevention, treatment and health promotion, including impact counseling to provide education to parents about the importance of disease management and access to health facilities. This research uses a systematic literature review to assess the influence of impact counseling in IMCI on parents' attitudes in bringing children to health facilities. Data was collected from databases such as PubMed, Scopus, and Google Scholar using relevant keywords. Articles that met the inclusion criteria were analyzed quantitatively and qualitatively to measure the effect of counseling on parental attitudes and behavior. The results of the analysis show that impact counseling significantly increases parents' understanding and involvement in children's health care. Counseling reduces anxiety and increases parents' confidence in caring for their child. The use of information technology in counseling makes it easier to access information and support. Counseling also improves access and utilization of health facilities by providing important information about available services. In conclusion, counseling in IMCI has a significant influence on parents' attitudes and behavior in bringing children to health facilities. Counseling helps increase understanding of a child's health, reduces anxiety, and promotes better health practices at home. Ongoing counseling programs are expected to improve child health outcomes and support the overall well-being of the family.

Strategies for Reducing and Preventing Anemia in Pregnant Women: Systematic Literature Review

Isabelita Madeira Soares, Artur Natalino Corte Real Araújo, Natalia Pereira
Abstract: Anemia in pregnant women is a serious health problem with negative impacts on the health of the mother and fetus. The aim of this research is to conduct a literature review on strategies for reducing and preventing anemia… a in pregnant women. This study used the Systematic Literature Review (SLR) method to collect and evaluate 20 relevant articles regarding strategies for reducing and preventing anemia in pregnant women. A literature search was conducted through various databases and articles that met the inclusion and exclusion criteria were selected for analysis. The main finding of this literature review is that several effective strategies have been identified for the reduction and prevention of anemia in pregnant women, including iron and folic acid supplementation, dietary changes, regular check-ups, health education, and community-based awareness campaigns. Factors such as public awareness, supportive health policies, and easy access to health services play an important role in supporting the successful implementation of these strategies. However, there are also obstacles such as limited access and resources, non-compliance, and cultural challenges that can hinder efforts to prevent anemia. The conclusion of this research is that strategies for reducing and preventing anemia in pregnant women require a holistic approach involving various aspects, including strengthening health services, targeted health education, and cross-sector collaboration. By implementing appropriate recommendations, it is hoped that a significant reduction in the prevalence of anemia in pregnant women can be achieved and improve the overall health of mothers and fetuses.

Evaluation of antibiotic prophylaxis in C-Section patients at RSIA Hikmah Sawi

Sarah Zielda Najib, Jumiati, Teguh Setiawan Wibowo
Abstract: The Caesarean section (C-section) rate increased steadily in the past two decades in Indonesia. People have a common belief that cesarean delivery is less painful, and safer than vaginal delivery. Risk factors for maternal… al infection are clearly recognised, therefore Antibiotic prophylaxis at caesarean section is widely recommended to prevent maternal infection. The study was designed to evaluate antibiotic prophylaxis use for prevention of surgical site infections (SSIs). Retrospective review of medical records of all post SC patients who received antibiotic were evaluated during October 2021 to march 2022. Among 4 different antibiotics used in post SC patients, the most frequently requested were first generation cephalosporins (50,13%), third generation cephalosporins-ceftriaxone & cefotaxime (16,89% and 3,95%) and the least frequently requested were metronidazole infusion (3,86%). Antibiotic use in post SC patients are effective strategies in reducing SSIs patients which was proven by no patients with SSIs were found during the research period.