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Journal : Jurnal Serambi Engineering

Analisa Topik Pendidikan Dalam Al-Quran dengan Pendekatan Text Mining Bustami Yusuf; Muhammad Zaeki; Hendri Ahmadian; Khairan Ar; Sri Wahyuni
Jurnal Serambi Engineering Vol 6, No 1: Januari 2021
Publisher : Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jse.v6i1.2649

Abstract

Education is one of the sciences that makes humans much better by learning various scientific disciplines. Al-Quran is one of the sources of knowledge that is believed by Muslims around the world. Because technology has penetrated almost every domain of our lives , including the world of education. Thus, the authors make technology as tool  for researching educational topics in Al-Quran by implementing text exploration .The research was carried out by making some basic words that were related to the subject of education as the keywords in this study. The keywords are “Ajar”, “Bicara”, “Cipta”, “Dengar”, “Ingat” and “Lihat”. Then, the authors implemented the Naïve Bayes Classifier algorithm. To test and evaluate the results, the author used two methods, i.e. recall and precision. The study results are the keyword “cipta” by 3.05 %, “Ingat” 2.25 %, “Ajar” 1.96 %,“Lihat” 0.82 %, finally “Dengar” 0.62% and “Bicara” 0.34% with  total  weight of 3,516 words that  have been filtered. The overall percentage of the results is 9.04% of the total number of words 38,761 in the Al-Quran. For the Naïve Bayes algorithm evaluation method,  the recall and precision scores are 0.605 and 0.366, respectively.
Designing Home Security Monitoring System Based Internet of Things(IoTs) Model Dedi Satria; Hendri Ahmadian
Jurnal Serambi Engineering Vol 3, No 1 (2018)
Publisher : Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jse.v3i1.354

Abstract

The uninhabited housing situation is very vulnerable to the existence of theft activities. Anticipation using a variety of door locking system of the house also often can be overcome by various the perpetrators of theft. Information technology today is inseparable from the development of internet communication technology. The Internet today are an essential part of every society as a means of Informastion Source. Therefore, there needs to be integration of home security system which can be integrated with internet based information system as one of innovation in security system. The research objective is the design and manufacture of sensor-based home security system as a passive infrared motion detectors integrated with Internet-based information system with the concept of the Internet of things (IoTs). The research used Passive Infra Red Sensor as input data, Arduino Uno Microcontroller as Sensor Data Processor and Ethernet as Web Server. The research resulted in a series of home security information system prototype based internet information and has successfully accessed through an Internet browser in the form of home security information to detect the presence of an intruder without permission remotely via the internet.
Analisa Topik Pendidikan Dalam Al-Quran dengan Pendekatan Text Mining Bustami Yusuf; Muhammad Zaeki; Hendri Ahmadian; Khairan Ar; Sri Wahyuni
Jurnal Serambi Engineering Vol 6, No 1: Januari 2021
Publisher : Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jse.v6i1.2649

Abstract

Education is one of the sciences that makes humans much better by learning various scientific disciplines. Al-Quran is one of the sources of knowledge that is believed by Muslims around the world. Because technology has penetrated almost every domain of our lives , including the world of education. Thus, the authors make technology as tool  for researching educational topics in Al-Quran by implementing text exploration .The research was carried out by making some basic words that were related to the subject of education as the keywords in this study. The keywords are “Ajar”, “Bicara”, “Cipta”, “Dengar”, “Ingat” and “Lihat”. Then, the authors implemented the Naïve Bayes Classifier algorithm. To test and evaluate the results, the author used two methods, i.e. recall and precision. The study results are the keyword “cipta” by 3.05 %, “Ingat” 2.25 %, “Ajar” 1.96 %,“Lihat” 0.82 %, finally “Dengar” 0.62% and “Bicara” 0.34% with  total  weight of 3,516 words that  have been filtered. The overall percentage of the results is 9.04% of the total number of words 38,761 in the Al-Quran. For the Naïve Bayes algorithm evaluation method,  the recall and precision scores are 0.605 and 0.366, respectively.