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Patrilineal and Matrilineal Organization in Sumatera: the Batak and the Minangkabau Khairina, Jikti
Linguistik, Terjemahan, Sastra (LINGTERSA) Vol. 3 No. 2 (2022): LINGTERSA
Publisher : TALENTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (333.024 KB) | DOI: 10.32734/lingtersa.v3i2.6342

Abstract

This study is about Matrilineal and Patrilineal descent between the Batak and the Minangkabau culture. Thus, this paper analyzes the view of adults (educated) about the phenomenon in Indonesia, whether the children of those organization confused of the clans of himself/herself. And then this paper aims to elaborate the reasons why adults (educated) people in North Sumatera choose Patrilineal rather than Matrilineal. The research was conducted by using qualitative research. To answer the problems of the study, the data were collected by giving questionnaire. The result of this study were the following; 1) Patrilineal and Matrilineal are supported by the adults (educated) people who participated in filling out questionnaires for this study 2) The reasons why educated people in North Sumatera prefer to choose Patrilineal rather than Matrilineal.
Development of an IoT-Based Smart Greenhouse with Fuzzy Logic for Chrysanthemum Cultivation Khairina, Jikti; Nurdin, Nurdin; Fikry , Muhammad
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.10313

Abstract

Conventional cultivation of Chrysanthemum plants in greenhouses faces serious challenges such as inefficiency, response delays, and errors in temperature and humidity settings due to manual management. These conditions result in unsuitable growing environments that can reduce the quality and quantity of harvests. To overcome these problems, this study developed a smart greenhouse system based on the Internet of Things (IoT) and cloud computing with the application of fuzzy logic. The system is designed to automatically monitor and control temperature, humidity, and light intensity using NodeMCU ESP32, DHT22 and BH1750 sensors, as well as relay-based actuators and mini air conditioners. Environmental data is sent to the cloud and processed using the Sugeno fuzzy method to produce adaptive and precise control decisions. Test results show that the system can maintain stable and optimal environmental conditions with an average temperature control difference of 30.341% and an actuator efficiency of 9.34% against microcontroller commands. This system provides a modern solution to the limitations of traditional methods, and supports smart agriculture in tropical climates such as Lhokseumawe.