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Analysis of factors related to the incidence of stunting in toddlers based transcultural nursing in the technical implementation unit in the work area of public health center Kaluku Bodoa Makassar Risnawati, Risnawati; Nurwijayanti, Nurwijayanti; Anggraeni, Novita Anna
Science Midwifery Vol 12 No 2 (2024): June: Health Sciences and related fields
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/midwifery.v12i2.1556

Abstract

The term "stunting" is used to describe the nutritional condition of a child based on anthropometric standards, based on the PB/U or TB/U index. The aim of the research is to analyze the factors related to the incidence of stunting in toddlers based on transcultural nursing in children aged 24-59 months in the Kaluku Bodoa Makassar Public Health Center TECHNICAL IMPLEMENTATION UNIT working area. The research design used in this study used a quantitative methodology, with a "cross-sectional" approach. Purposive sampling was used to select a sample size of 103 respondents. Data analysis was carried out with research findings showing that the majority of toddlers, specifically 72.8%, were categorized as stunting, as determined through the use of the chi-square test at a significance level of α=0.05, while 27.2% of toddlers were classified as normal from a total of 103 respondents. The research results show that there is a significant relationship between technological factors and the incidence of stunting (p=0.007), social factors and family support (p=0.000), cultural values and lifestyle factors (p=0.000), economic factors (p=0.010), educational factors (p=0.032), and the most influential factors identified were social factors and family support (p=0.000), with a 31 times higher risk of stunting. The P value is 0.000 < 0.005, with a 95% confidence interval (14.828-6.7013).
Analisis Pengetahuan Ibu Tentang Kenaikan Berat Badan Balita Usia 0-24 bulan Dengan Kejadian Balita Gizi Kurang Di Kota Kediri Nurwijayanti, Nurwijayanti; Tobel, Feby Lisanty
Care : Jurnal Ilmiah Ilmu Kesehatan Vol 6, No 2 (2018): EDITION JULY 2018
Publisher : Universitas Tribhuwana Tunggadewi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (314.96 KB) | DOI: 10.33366/jc.v6i2.910

Abstract

Asupan gizi yang salah atau tidak sesuai dengan kebutuhan akan menimbulkan masalah malnutrisi dalam bentuk asupan berlebih ataupun berkurang, adapun faktor yang mempengaruhi kurangnya asupan gizi pada balita yaitu karena kurangnya pengetahuan ibu. Tujuan penelitian untuk mengetahui hubungan pengetahuan ibu tentang kenaikan berat badan balita usia 0-24 bulan dengan kejadian balita gizi kurang di di Kota kediri. Desain penelitian analitik korelasional dengan pendekatan cross sectional. Responden diambil dengan teknik purposive sampling. Populasi semua ibu balita usia 0-24 bulan di Kota Kediri dengan jumlah 134 orang, sampel 120 responden. Variabel independen pengetahuan tentang kenaikan berat badan balita, variabel dependen kejadian balita gizi kurang, kemudian dianalisis dengan uji statistik chi-square. Hasil penelitian menunjukan sebagian besar ibu balita usia 0-24 bulan memiliki pengetahuan baik tentang kenaikan berat badan balita sebanyak sebanyak 66 responden (55,0%), hampir seluruh balita usia 0-24 bulan tidak mengalami kejadian gizi kurang yaitu sebanyak 96 responden (80,0%) dari total 120 responden. Hasil analisa data menunjukan bahwa tingkat signifikansi nilai p-value = 0,000 < α 0,05 dengan nilai Contingency Coefficient 0,652 sehingga H1 diterima yang artinya terdapat hubungan yang kuat antara pengetahuan ibu tentang kenaikan berat badan balita usia 0-24 bulan dengan kejadian balita gizi kurang di Di Kota kediri. Semakin baik pengetahuan yang dimiliki ibu tentang kenaikan berat badan balita maka semakin baik perilaku ibu dalam memenuhi kebutuhan nutrisi balita sehingga status gizi balita dapat meningkat.
Pemanfaatan 3 Jenis Kulit Buah Sebagai Sumber Energi Pengganti pada Pasta Batu Baterai Suntoro, Erdin; KN, Nurwijayanti
Poltanesa Vol 23 No 1 (2022): Juni 2022
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v23i1.949

Abstract

Energi menjadi komponen penting bagi keberlangsungan hidup manusia, saat ini dan beberapa tahun kedepan, manusia masih akan bergantung pada sumber energi fosil. Disatu sisi, manusia akan dihadapkan pada situasi menipisnya cadangan sumber energi fosil dan meningkatnya kerusakan lingkungan akibat penggunaan energi fosil. Melihat kondisi tersebut, sangat diperlukan penelitian yang secara khusus untuk mencari, mengoptimalkan dan menggunakan sumber energi alternatif. Penelitian ini bertujuan untuk merancang sumber energi alternatif yang murah dan mudah untuk diterapkan di kalangan masyarakat, khususnya masyarakat daerah terpencil di Indonesia yang belum dialiri oleh arus listrik dan juga bisa menjadi proses pembelajaran tentang pemanfaatan barang bekas (sampah) sebagai sumber energi alternatif yang terbarukan. Hasil penelitian ini menunjukkan, bahwa total waktu pengujian pada 3 buah tersebut, masing-masingnya berlangsung selama 30 menit, dengan 5 kali pengujian di setiap buahnya dan terbagi selama 6 menit setiap pengujiannya, perolehan hasil nilai rata-rata tegangan dan arus yang dirangkai secara seri (pada jeruk nipis 2,07V & 13,1mA), (pada mangga 2,27V & 9,9mA) dan (pada alpukat 2,24V & 12,4mA).
Analisis Perbandingan Throttle Position Sensor (TPS) Standar Dan Racing Terhadap Kinerja Motor CB150R Apriyanti, Aulia; K N, nurwijayanti
JURNAL TEKNOLOGI INDUSTRI Vol. 14 No. 1 (2025): Jurnal Teknologi Industri
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jti.v14i1.1716

Abstract

Accurate temperature monitoring is essential in storage applications that require precise environmental control. This study aims to analyze the accuracy and stability of five digital temperature sensors—DHT11, DHT22, DS18B20, BMP085, and BMP280—by comparing their measurements with a mercury thermometer certified by the Indonesian National Standard (SNI) as the reference. Experiments were conducted in both indoor and outdoor environments using a NodeMCU ESP8266, with repeated measurements performed to evaluate consistency. The analysis was carried out using average measurement deviation and percentage error. The results show that the BMP280 provides the highest accuracy in indoor conditions, with an average deviation of 0.52 °C and a 2.0% error rate, whereas the DS18B20 demonstrates superior accuracy and stability in outdoor conditions, with deviations as low as 0.4 °C in several test points. The DHT11 and DHT22 remain suitable for simple applications with low precision requirements, while the BMP085 exhibits the lowest performance in terms of both accuracy and consistency. These findings offer practical guidance for selecting appropriate temperature sensors based on environmental conditions and application needs.
Rancang Bangun Antena Mikrostrip Mimo 2×2 Square Patch U-Slot Untuk Komunikasi 5g Frekuensi 2,3 GHz Handayani, Esti; K N, nurwijayanti
JURNAL TEKNOLOGI INDUSTRI Vol. 14 No. 2 (2025): Jurnal Teknologi Industri
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jti.v14i2.1717

Abstract

The 2.3 GHz frequency band is one of the recommended spectrums for 5G deployment due to its favorable propagation characteristics and capability to support high data throughput. However, microstrip antennas operating in this band often suffer from limited bandwidth and radiation efficiency. This research aims to design and implement a 2×2 MIMO microstrip antenna using a square patch with a U-slot and an inset-feed technique to enhance bandwidth and radiation performance for 5G applications. The initial antenna dimensions were calculated using standard microstrip theory, followed by modeling and optimization using CST Microwave Studio Suite 2019. The optimized antenna was then fabricated and tested using a Vector Network Analyzer (VNA) and radiation pattern measurements. Experimental results show that the antenna operates around 2.3 GHz with bandwidth values ranging from 61 to 65 MHz, VSWR below 1.2, and an axial ratio of 1.23 dB, indicating circular polarization. Additionally, the measured gain reaches 6.98 dB. These results demonstrate that the U-slot modification combined with inset-feed implementation effectively improves antenna performance, making the design suitable for MIMO systems in 5G networks.
RANCANG BANGUN PENGUKURAN SUHU DAN KELEMBABAN PADA PENYIRAMAN OTOMATIS UNTUK TANAMAN KACANG TANAH BERBASIS IOT Nugroho, Nicholas Herdiyanto; K N, Nurwijayanti
JURNAL TEKNOLOGI INDUSTRI Vol. 14 No. 2 (2025): Jurnal Teknologi Industri
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jti.v14i2.1731

Abstract

Efficient, automated watering is crucial in modern agriculture. IoT (Internet of Things)-based automatic watering offers a solution to this challenge, particularly for peanut plants, which require precise and accurate watering. This research aims to design and test an IoT-based automatic watering system for peanut plants. The system is designed to optimize water use and increase efficiency in peanut cultivation. Identified problems include difficulty in determining the correct amount of water, water wastage due to manual watering, and inaccurate visual observations. This research focused on the design of the automatic water regulation system, the water pump control method, and the sensitivity of the soil moisture sensor in the system. Test results showed that the system performed well. The soil moisture sensor can detect water levels and automatically control the water pump. The water pump activates when soil moisture is below 30% and shuts off when it reaches 60%. There was no discrepancy between the sensor readings and manual calculations, demonstrating the system's accuracy.
SISTEM KEAMANAN DI PERUMAHAN BERKONSEP SMART CITY BERBASIS MOBILE APP KN, Nurwijayanti; Rizki Apriana, Rizki Apriana
JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 8 No 1 (2021): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v8i1.605

Abstract

ABSTRAKSebuah perumahan sering sekali terjadi tindak kejahatan seperti pencurian, maka dibutuhkan sistem informasi keamanan untuk mencegah terjadinya kejahatan, sistem informasi keamanan berupa aplikasi keamanan dan laporan keamanan disebuah perumahan, aplikasi ini terdiri dari perangkat lunak sebagai penunjang dan perangkat keras yang dihubungkan dengan jaringan internet. Dalam proses terdapat throughput sebesar  0-7,07 kbps dengan delay yaitu 1 detik untuk masuk kesetiap menunya, di aplikasi ini warga dapat melaporkan semua peristiwa ke petugas yang sedang berjaga, melalui gadget secara interaktif, warga sebagai sumber data, untuk mengirim informasi ke pusat data. Kata Kunci :  Smart City, Perumahan, Sistem Informasi.
IMPLEMENTATION OF KALMAN FILTER, RECURRENT NEURAL NETWORK, AND DECISION TREE METHOD TO FORECAST HIV CASES IN EAST JAVA Nurwijayanti, Nurwijayanti; Yudianto, Firman; Radono, Panca; Sinulungga, Rizky Amalia; Romli Arief, Mochammad; Utami, Rahayu Budi; Arof, Hamzah
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 2 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss2pp1473-1484

Abstract

HIV (Human Immunodeficiency Virus) is a virus that infects cells in the body and weakens the human immune system, making it more susceptible to various diseases. Meanwhile, the symptoms of the disease arising from HIV itself are referred to as AIDS (Acquired Immune Deficiency Syndrome). Approximately 50% of people with AIDS in Indonesia are adolescents. Until now, HIV/AIDS has ranked second in East Java province. HIV/AIDS is classified as a dangerous disease because of the risk of death. Unfortunately, there is no treatment method or vaccine that could prevent this disease. This monitoring program to prevent the development of dangerous health cases such as HIV/AIDS is very helpful for local governments. Along with the development of information technology, the emergence rate of new HIV/AIDS cases can now be forecasted using machine learning as a monitoring tool to support. This machine learning-based monitoring program works with past data for statistical analysis. In this study, the methods used are Kalman Filter, Recurrent Neural Network, and Decision Tree. The Kalman Filter is a type of filter method that is used to predict the state of a dynamic, stochastic, linear, discrete system. A Recurrent Neural Network (RNN) is a development of a Neural Network. RNN deals with input sequence/time-series data by individual sector at each step and preserves the information it has captured at previous time steps in a hidden state. A Decision Tree is one of the classic tree-based prediction methods. The best error value (RMSE) achieved by each method is 0.0885 for the Kalman Filter, then for the Recurrent Neural Network method achieved 0.198, and the Decision Tree method successfully achieved 0.0287.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI LOYALITAS PASIEN KLINIK FISIOTERAPI BEBAS CEDERA DI TELKOM BSD TANGERANG SELATAN Maratade, Ester Lita; Indasah, Indasah; Nurwijayanti, Nurwijayanti
Midwifery Journal: Jurnal Kebidanan UM. Mataram Vol 11, No 1 (2026): Januari
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/mj.v11i1.36179

Abstract

Abstract: The purpose of this research is to examine the relationship between patient loyalty and the following factors: service quality, patient satisfaction, and trust at the Bebas Cedera Physiotherapy Clinic in South Tangerang, Telkom BSD. Using accidental sampling procedures, 109 participants participated in the quantitative survey that formed the basis of the study. The data was examined by using PROCESS Macro Model 4's multiple linear regression and mediation testing. According to the findings, patient loyalty is positively and significantly affected by service quality and trust, whereas patient happiness has a favorable but insignificant influence. In addition, the connection among service quality, trust, and loyalty is not mediated by patient satisfaction. Based on these results, building trust with patients is the most important aspect in determining their loyalty, and improving communication and empathy is a great way to keep patients around for the long haul.Abstrak: Tujuan dari penelitian ini untuk menguji hubungan antara loyalitas pasien dan faktor-faktor berikut: kualitas layanan, kepuasan pasien, dan kepercayaan di Klinik Fisioterapi Bebas Cedera di Tangerang Selatan, Telkom BSD. Dengan menggunakan prosedur pengambilan accidental sampling, 109 peserta berpartisipasi dalam survei kuantitatif yang menjadi dasar penelitian. Data diperiksa dengan menggunakan regresi linier berganda PROCESS Macro Model 4 dan pengujian mediasi. Menurut temuan tersebut, loyalitas pasien dipengaruhi secara positif dan signifikan oleh kualitas layanan dan kepercayaan, sedangkan kebahagiaan pasien memiliki pengaruh yang menguntungkan tetapi tidak signifikan. Selain itu, hubungan antara kualitas layanan, kepercayaan, dan loyalitas tidak dimediasi oleh kepuasan pasien. Berdasarkan hasil ini, membangun kepercayaan dengan pasien adalah aspek terpenting dalam menentukan loyalitas mereka, dan meningkatkan komunikasi dan empati adalah cara yang bagus untuk mempertahankan pasien dalam jangka panjang. 
Distributed Solar Generation for Voltage Improvement and Loss Reduction in a 20 kV Network Nurdiansyah, Rian; Faridah, Linda; Muhammad Waliyyuddin Annur; Sutisna; Nurwijayanti Kn
Journal of Renewable Energy and Smart Device Vol. 3 No. 2 April 2026
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/joresd.v3i2.431

Abstract

Distributed photovoltaic (PV) generation has emerged as a key solution for enhancing the performance of medium-voltage (MV) distribution networks, particularly in isolated systems with limited conventional generation. This study investigates the impact of centralized and distributed PV integration on voltage profile and power losses in the 20 kV East Sumba distribution system. A steady-state load flow analysis using the Newton–Raphson method was performed in DIgSILENT PowerFactory under three PV penetration levels (20%, 50%, and 100% of peak load). The base-case condition shows significant undervoltage at remote buses and total active power losses of 474.47 kW, mainly due to long radial feeders and concentrated loading. The results indicate that centralized PV placement yields the strongest voltage recovery near the interconnection point at 100% penetration, whereas the minimum system power loss is achieved at 50% penetration. By contrast, distributed PV placement provides more uniform voltage support across remote buses, although with lower effectiveness in reducing total system losses. These findings reveal a clear operational trade-off between voltage improvement and loss minimization, implying that the preferred PV placement strategy should be selected according to the specific technical objective of the network. This study provides practical insights for planning and optimizing PV integration in weak and isolated MV distribution systems.
Co-Authors A.A. Ketut Agung Cahyawan W Abdul Basyir Adenia Kahfianti Agus Sugiharto Agus Sugiharto Ajis Dwi Pangestu Anggi Triyanto Anggoro Eko Setyanto Anggraeni, Novita Anna Anjarwangi, Martha Anwar, Muhammad Choirul Anwar, Muhammad Choirul Apriyanti, Aulia Arie Rahmadi Arif Fadhillah Fajri Arof, Hamzah Astika AyuningTyas, Astika Badru Salam BASUKI ARIANTO Bekti Yulianti Bima Zakaria Binsar Pangaribuan Budiman Wibowo Byba Melda Suhita Cecep Bunyamin Christa Usteng Hakim Christa Usteng Hakim DARMAWAN YULIANTO Dian, Agusta Dwi Haryanto Edwin Edwin Ekawati Wasis Wijayati Ellyzabeth Sukmawati Erdiani, Nila Erdin Suntoro ERWIN WIJAYANTO Esti Handayani Fadhlam Bihamdi Faridah, Linda Febrian, Wenny Desty Ferdinand Ferdinand Fifto Nugroho Fitriah Fitriah Ganjar Eko Santoso Gempi Tri Sumini Hadian Satria Utama Hadian Satria Utama HANDOKO, YUDO DWI Hang Suharto HARI MOEKTIWIBOWO Harseto Krismandika Hartono Haryadi Hugeng Hugeng Ichwan Satia Indasah INDRA SURJATI Indra Surjati Indra Suryati INDRAMAWAN INDRAMAWAN Iwan Adhicandra Khaja, Khadija Koesnadi, Koesnadi Latif Kamaludin M. A. Bintoro Dibyoseputro M. Ilham Nurhadi Winata Mahendra Tidar Maratade, Ester Lita Mario Mario Michael Riawan Muhammad Waliyyuddin Annur Munnik Haryati Nikolas Tjandra Nugroho, Nicholas Herdiyanto Nurdiana, Ira Nurdiansyah, Rian Panca Radono Prayoga, Rahmat Rasna, Rasna Reza Ananda Rima Ruktiari Risnawati Risnawati Rizki Apriana, Rizki Apriana Romli Arief, Mochammad Sani, Indra Sari, Onica Septiawan, Rudi Sinulungga, Rizky Amalia Siti Farida Subiyantoro Sucahyo, Nur Suhara, Ade Sumpena, Sumpena Sungkono Suntoro, Erdin Sutisna Syafdi, Rizky Tandung, Maria Rante Tobel, Feby Lisanty Utami, Rahayu Budi W.TEDJA BHIRAWA Wahyuni, Nurlely Tri WT Bhirawa Yanwar Alamdo Yenny Puspitasari Yogi Setiawan Yudianto, Firman Yuli Peristiowati, Yuli Zaki Rokhandi Zulkipli Lessy Zulkipli Zulkipli