SISTEM INFORMASI PEMANTAUAN STATUS GIZI BALITA
DOI:
https://doi.org/10.30812/matrik.v15i2.35Keywords:
Monitoring Of Nutritional Status, Nutritional Status, Poor Nutrition, Family Aware Of Nutrition, Health Department, West Lombok RegencyAbstract
Based on interviews with staff nutrition Health Offce (Dikes) West Lombok, that is not currently available information systems that can be used to input data monitoring nutritional status of children. So it still takes a very long time to get the right information related to monitoring the nutritional status of children and families aware of nutrition per each district. The primary data sourced directly from the community gathered by Puskesmas offcers. Analysis of the data needed to meet the needs of data input, process and report to the monitoring system of nutritional status include: site identifcation, the identity of the household, the habit of weighing the family members, the question for pregnant or postpartum mothers, the nutritional intake of the family, the identity of a toddler, a child’s weight. The expected benefts of the outcomes defned as follows: enhance the ability to analyze the situation of food and nutrition in every region, able to set the priority handling of food and nutrition, able to monitor and evaluate the development of food and nutrition, improve community health status is marked as well as out of the category of problematic areas of health, especially malnutrition and less.
Downloads
References
[2] Bappenas, 2010, Peraturan Presiden RI No 5 Tahun 2010 tentang Rencana Pembangunan Jangka Menengah Nasional (RPJMN), April 2014
[3] Jumidah, 2014, Pengolahan data sistem pemantauan status gizi, Personal Communication: staf teknis seksi Gizi, April 2014.
Downloads
Published
Issue
Section
How to Cite
Similar Articles
- Lalu Ganda Rady Putra, Anthony Anggrawan, Pengelompokan Penerima Bantuan Sosial Masyarakat dengan Metode K-Means , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 1 (2021)
- Nenny Anggraini, Zulkifli Zulkifli, Nashrul Hakiem, Development of Smart Charity Box Monitoring Robot in Mosque with Internet of Things and Firebase using Raspberry Pi , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 24 No. 1 (2024)
- Abd Mizwar A Rahim, Andi Sunyoto, Muhammad Rudyanto Arief, Stroke Prediction Using Machine Learning Method with Extreme Gradient Boosting Algorithm , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 3 (2022)
- Bobby Poerwanto, Baso Ali, Implementasi Algoritma Fuzzy C-Means dalam Mengelompokkan Kecamatan di Tana Luwu Berdasarkan Produktifitas Hasil Perkebunan , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 19 No. 1 (2019)
- Ardafa Ihromi, Yuda Syahidin, Erix Gunawan, Neneng Yuniarty, E-Mortality using Agile Scrum Method to Improve Information Services Effectiveness , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 3 (2023)
- Muchammad Ismail Hamzah, DESAIN DAN IMPLEMENTASI WEB SMP ISLAM NGEBRUK MENGGUNAKAN PHP DAN MYSQL , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 16 No. 2 (2017)
- Deny Jollyta, Prihandoko Prihandoko, Dadang Priyanto, Alyauma Hajjah, Yulvia Nora Marlim, Comparison of Distance Measurements Based on k-Numbers and Its Influence to Clustering , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 23 No. 1 (2023)
- Tri Oktarina, Media Pembelajaran Online untuk Mendukung Belajar Pada Stebis Islam Darussalam , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 19 No. 2 (2020)
- Donny Kurniawan, Anthony Anggrawan, Hairani Hairani, Graduation Prediction System on Students Using C4.5 Algorithm , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 19 No. 2 (2020)
- Imam Riadi, Herman Herman, Fitriah Fitriah, Suprihatin Suprihatin, Optimizing Inventory with Frequent Pattern Growth Algorithm for Small and Medium Enterprises , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 23 No. 1 (2023)
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Anthony Anggrawan, Analisis Deskriptif Hasil Belajar Pembelajaran Tatap Muka dan Pembelajaran Online Menurut Gaya Belajar Mahasiswa , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 18 No. 2 (2019)
- Lusiana Efrizoni, Sarjon Defit, Muhammad Tajuddin, Anthony Anggrawan, Komparasi Ekstraksi Fitur dalam Klasifikasi Teks Multilabel Menggunakan Algoritma Machine Learning , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 3 (2022)
- Lalu Ganda Rady Putra, Anthony Anggrawan, Pengelompokan Penerima Bantuan Sosial Masyarakat dengan Metode K-Means , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 1 (2021)
- Anthony Anggrawan, Satuang Satuang, Mokhammad Nurkholis Abdillah, Sistem Pakar Diagnosis Penyakit Ayam Broiler Menggunakan Forward Chaining dan Certainty Factor , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 20 No. 1 (2020)
- Anthony Anggrawan, Mayadi Mayadi, Christofer Satria, Menentukan Akurasi Tata Letak Barang dengan Menggunakan Algoritma Apriori dan Algoritma FP-Growth , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 1 (2021)
- Heroe Santoso, Ahmad Wilda Yulianto, ANALISA DAN PERANCANGAN SISTEM ABSENSI SISWA BERBASIS WEB DAN SMS GATEWAY , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 16 No. 2 (2017)
- Anthony Anggrawan, Mayadi Mayadi, Application of KNN Machine Learning and Fuzzy C-Means to Diagnose Diabetes , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 2 (2023)
- Bambang Krismono Triwijoyo, Ahmat Adil, Anthony Anggrawan, Convolutional Neural Network With Batch Normalization for Classification of Emotional Expressions Based on Facial Images , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 1 (2021)
- Putu Tisna Putra, Anthony Anggrawan, Hairani Hairani, Comparison of Machine Learning Methods for Classifying User Satisfaction Opinions of the PeduliLindungi Application , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 3 (2023)
- Christofer Satria, Peter Wijaya Sugijanto, Anthony Anggrawan, I Nyoman Yoga Sumadewa, Aprilia Dwi Dayani, Rini Anggriani, Multi-Algorithm Approach to Enhancing Social Assistance Efficiency Through Accurate Poverty Classification , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 24 No. 1 (2024)
.png)











