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

Akuisisi Bukti Digital Dan Deteksi Keaslian Citra Pada Whatsapp Menggunakan Metode NIST Dan ELA Putra, Ikhwan Wiratama; Suharso, Aries; Rozikin, Chaerur
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.v5i2.370

Abstract

The growth of technology in the last 3 years has been very rapid, as is the growth of smartphone use. This growth is directly proportional to the crime cases that occur, especially in Indonesia. There were a total of 12,835 case complaints from 2018 to 2020, and the most cases were online fraud cases with 7,560 reports related to fraud on cyber patrol sites. One of the crimes that often occurs is online fraud cases using fictitious transfer receipts. This crime was committed using one of the short messaging applications, namely Whatsapp. After the crime was successfully carried out, the perpetrator then deleted the evidence in the form of the conversation along with a photo of the proof of the transfer using one of the features on WhatsApp. Therefore, this study aims to obtain or acquire evidence on the Whatsapp application using the NIST (National Institute of Standards and Technology) method and applying the ELA (Error Level Analysis) technique to analyze evidence in the form of images obtained to strengthen the evidence in court. In facilitating the investigation process, a forensic tool is needed. The forensic tools used in this research are Magnet Axiom and ForensicallyBeta. The final result obtained is that Magnet Axiom managed to find some evidence, including conversation messages, victim contacts, call history, profile photos of the perpetrators, and pictures. With the help of ForensicallyBeta tools, the obtained receipt image can be analyzed and identified that there has been a modification to the receipt.
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.