Ramdana, Ramdana
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Sistem Penentuan Lokasi Menara Base Transceiver Station dengan Algoritma AHP-TOPSIS Amar, Muh. Ikhsan; Ramdana, Ramdana; DA, Alvian Tri Putra
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2466

Abstract

Cellular telecommunication technology has now become an inseparable part of the increasingly mobile pattern of human life, this of course has an impact on the number of uses of cellular telecommunication technology which is increasing every day. This increase has encouraged cellular telecommunications technology vendors to continuously improve the quantity and quality of their telecommunications networks by establishing telecommunications equipment such as Base Transceiver Station (BTS) towers at strategic points. This study aims to build a system for determining the location of BTS towers that can provide visualization of information on the distribution of existing BTS towers and their coverage area radius. Analysis and location determination using a combination of AHP and TOPSIS methods. The AHP method is used to determine the objectivity of the weight and importance of the BTS tower location criteria. Furthermore, the results of the comparison of criteria will be used in the TOPSIS method to assess the rating of each candidate location. The results of the study obtained that the criteria for the location of BTS towers were population density with a weight of 0.42, the distance of the existing tower was 0.2, location access was 0.31, and the installation cost was 0.08. Meanwhile, the candidate locations were measured using linguistic variables with a weight of 0.67 for very good criteria, 0.23 for good, and 0.10 for good enough. System testing was carried out on determining the location of the BTS tower in Sinjai Borong District by analyzing three candidate locations and the results obtained that the Samaenre location was the best candidate with a rating value of 0.74.
The The Relationship between Family Support and Maternal Attitude with Early Initiation of Breastfeeding in Infants Aged Ramdana, Ramdana; Friscila, Ika; Anisa, Fadhiyah Noor
Journal Of Health Science (Jurnal Ilmu Kesehatan) Vol 9 No 2 (2024): JOURNAL OF HEALTH SCIENCE (JURNAL ILMU KESEHATAN)
Publisher : Fakultas Ilmu Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24929/jik.v9i2.3467

Abstract

One of the other things that causes high IMR is giving MP ASI too early. The high provision of Complementary Food for Early Breastfeeding is influenced by family support. The internal factor that influences early complementary feeding is the mother's attitude. Tanjung Seloka Health Center, Kotabaru Regency, is the health center with the third lowest coverage of exclusive breastfeeding, namely 83.7%. The aim of this research is to determine the relationship between family support and mother's attitude with early complementary breastfeeding to infants aged <6 months in the work area of the Tanjung Seloka Health Center, Kotabaru District. The results show that 18 respondens (85.7%) who gave MP-ASI early to infants aged <6 months did not receive adequate family support. Statistical analysis reveals a significant relationship between family support and early complementary feeding (p-value = 0,000 < 0,005). Furthermore, all 15 respondents (100%) who gave MP-ASI early complementary feeding (p-value = 0,000 < 0.005). The conlusion: family support and maternal attitude significantly influence the early provision of complementary feeding to infants aged <6 months in the working area of the Tanjung Seloka Health Center, Kotabaru Distric. Strengthening family support and fostering positive maternal attitudes are essential to promoting exclusive breastfeeding practices.
SMART WATER PUMP DESIGN USING DECISION TREE FOR IOT-BASED AUTOMATIC FRUIT PLANT IRRIGATION Muhammad, Figur; Ramdana, Ramdana
JIKO (Jurnal Informatika dan Komputer) Vol 8, No 1 (2025)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v8i1.8893

Abstract

The continuous growth of the population each year increases the demand for adequate food supplies, while land for cultivation is becoming more limited. One solution to this issue is the technique of growing fruit in pots (tabulampot). Irrigating potted plants is a crucial maintenance stage, where deficit irrigation can help manage fruit quality. However, manual watering by farmers is time-consuming and labor-intensive, necessitating an automation system. This research aims to design and build a smart water pump system based on the Internet of Things (IoT) using a Decision Tree algorithm to monitor and irrigate potted fruit plants. The designed system can irrigate plants based on predetermined times and soil moisture conditions. Utilizing IoT technology, this system can be accessed and controlled via smartphone. The research results indicate that the system operates automatically, with the ability to monitor soil moisture and irrigate based on real-time sensor data. The implementation of this system is expected to enhance the efficiency of potted plant care and reduce farmers' workload.
DESIGN OF VERTICULTURE PLANT MONITORING AND IRRIGATION SYSTEM USING FUZZY LOGIC AND WIRELESS SENSOR NETWORK Ramdana, Ramdana; Irma, Ade; Muhammad, Figur
JIKO (Jurnal Informatika dan Komputer) Vol 8, No 1 (2025)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v8i1.8895

Abstract

Verticulture is a gardening method that addresses land limitations by using a multi-layered vertical planting system. However, there are several issues in verticulture, one of which is providing water based on plant needs. The irrigation of verticulture plants is routinely done every day, either in the morning or during the day. This certainly consumes time and effort for the farmers. Therefore, the objective of this research is to design a monitoring and irrigation system for verticulture plants based on soil moisture sensor data that will be processed using fuzzy logic algorithms and Wireless Sensor Network technology. The result of this research is a system implemented at 16 verticulture planting points. Sixteen sensor nodes successfully read soil moisture data in real time and sent this data to a sink node. The sink node then received and collected the moisture data sent by the sensor nodes. The algorithm used in this system is fuzzy logic, which successfully categorizes the readings from the soil moisture sensors into dry, moist, or wet categories, allowing the system to decide whether to irrigate the plants or not. The monitoring application created successfully displays the soil moisture sensor data as a percentage (%).