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All Journal Jurnal Informatika dan Teknik Elektro Terapan JURNAL LENTERA : Kajian Keagamaan, Keilmuan dan Teknologi J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Sisfotek Global J-SAKTI (Jurnal Sains Komputer dan Informatika)
Irawan, Agung Susilo Yuda
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Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Law, Crime, Criminology & Criminal Justice

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Journal : J-SAKTI (Jurnal Sains Komputer dan Informatika)

 1 
Prediksi Kepribadian Berdasarkan Media Sosial Twitter Menggunakan Metode Naïve Bayes Classifier A, Muhammad Ichsanudin; Irawan, Agung Susilo Yuda; solehudin, Arip
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.394

Abstract

Analysis of a person's personality is very helpful as an assessment in various matters such as recruitment, career, health. The methods commonly used in personality analysis are interviews, observations, and questionnaire surveys. This study tries to provide a solution by simply using social media, namely twitter, by analyzing twitter user information data called tweets, this is to add to the method of personality analysis. The method used in this personality prediction research is to classify a tweet into 5 personality forms. The personality method used by the researcher is the Big Five Personality which consists of openness, conscientiousness, extraversion, agreeableness, and neuroticism with classification calculations using Naive Bayes. The result of this research is an accuracy of 42% with the highest class, namely Agreeableness.
Implementasi Sistem Pendeteksi Asap Kebakaran dengan Mikrokontroler Arduino Dengan Metode Fuzzy Mamdani Alifah, Nurli; Irawan, Agung Susilo Yuda
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.593

Abstract

Fire disasters often occur due to various factors, one of which is public negligence and lack of anticipation to prevent fires from occurring. In most cases, the fire is often known when it has grown. Based on these problems, we need a system that can detect fires as quickly as possible from the appearance of smoke to prevent the emergence of a fire that is getting bigger. In this study, the author will create a system in the form of a fire smoke detector using an Arduino Uno microcontroller with the fuzzy mamdan method. The author wants to compare the fuzzy mamdani method and the Arduino device to get the most accurate results possible. Fuzzy reasoning was chosen because this method is able to calculate data that is vague to not vague, commonly called a vague analogy, namely the value used is between 0 and 1. In this system there is an MQ-2 sensor module to detect smoke and an LM35 temperature sensor connected to the Arduino Uno microcontroller. as a center for controlling the work of other devices and a data processing center on the system. And the program is made on Arduino IDE. With an LCD output to display information about the presence of smoke and an output in the form of a buzzer to give a warning sound. In this study, the results showed that the Fire Smoke Detection System Using an Arduino Microcontroller with the Fuzzy Mamdani Method could run well and produce state outputs that were in accordance with the fuzzy calculations in Matlab.
Teknologi Augmented Reality Sebagai Media Pembelajaran Dalam Pengenalan Buah-Buahan (Kasus Paud Hidayatul Burhan) Maelani, Yeyen; Irawan, Agung Susilo Yuda; Suharso, Aries
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.387

Abstract

Paud Hidayatul Burhan is an Early Childhood Education which is located in Pasirtanjung Village, Lemahabang District, Karawang Regency. Currently, teachers are demanded to be creative in providing education to their students with various methods such as the rationalization of plant themes for fruits and so on. Due to the lack of educational facilities for this use of media, it is necessary to use technology to attract children's interest and motivation to learn. In this case, the fruit learning media still uses conventional methods such as books to see its shape in 2D. The method used in the application of augmented reality in this study is markerless, so that the black and white square markers are replaced by pictorial markers presented in the Augmented Reality Book (AR Book) containing strawberries, lemons and cherries. From the results of alpha testing, the application made can function properly. From the results of the marker test, the application can display 3D objects at a marker distance of 5 cm - 60 cm, with a marker tilt angle of 30 ° - 60 ° and the marker is blocked by other objects up to 75%. From the results of the questionnaire calculation using the Likert's Sumated Rating (LSR) method, a score of 85 was obtained, so the assessment range was very positive, which means that the application can be implemented properly. And also the calculations carried out by the author in the evaluation of students showed that Ho was rejected because there was no significant effect on children's understanding, while H1 was accepted because of a significant influence on children's understanding.
Analisi Data Transaksi Penjualan Menggunakan Algoritma Apriori Untuk Menentukan Paket Promosi Refarasi Mobil R, Aria Renalda; Irawan, Agung Susilo Yuda; Suharso, Aries
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.388

Abstract

Rizal Motor Workshop is a business in the field of services and sales of auto parts. More and more workshops are growing rapidly at this time, making Rizal Motor Workshop making a better marketing strategy than other workshops. With a promotional package it will attract the attention of consumers who were previously not interested in shopping to become very interested because of the available promotional packages. To determine the promotional package at the Rizal Motor Workshop to be more efficient and on target, the author uses one way to look at the items most frequently purchased by consumers. The purpose of this study is to analyze sales transaction data to be used as a promotional package based on the buying patterns of consumers. The method used in this study uses the Knowledge Discovery in Database (KDD) method which consists of stages of data selection, data cleaning, data transformation, data mining, and evaluation. The algorithm in this study uses the Apriori Algorithm which looks at the itemset formed, in this study using 4 itemsets with a minimum support of 60% and a minimum confidence of 90%. For the results obtained are associations between products or connectedness of goods, in this study the confidence value obtained was 98.182% which is the best confidence value contained in the 3 itemse.
Co-Authors A, Muhammad Ichsanudin Alifah, Nurli Alwansyah, Izhari Antono, Ryan Ardiansyah, Dwi Putra Aries Suharso Arip Solehudin E Haodudin Nurkifli garno, Garno Harahap, Ali Dongan Juardi, Didi Karimullah, Alif Maelani, Yeyen Nugraha, Ramdan Pratama, Adi Rizky R, Aria Renalda Rizal, Adhi