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Forensic Whatsapp Investigation Analysis on Bluestack Simulator Device Using Live Forensic Method With ACPO Standard Kurniadin Abd. Latif; Rifqi Hammad; Tomi Tri Sujaka; Khairan Marzuki; Andi Sofyan Anas
IJISTECH (International Journal of Information System and Technology) Vol 5, No 3 (2021): October
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i3.148

Abstract

This study aims to conduct a forensic analysis of the WhatsApp application on the Bluestacks android simulator device. BlueStacks App Player is designed to allow Android apps to run on PCs running Microsoft Windows and Apple's macOS. In this study, the scenario was carried out using two devices as Whatsapp communication media. The first device is a laptop device that uses the Bluestacks android simulator with the SM-G955F device type, and the second is a smartphone device as opposed to communication. This study uses the ACPO standard which consists of several stages such as Plan, Capture, Analysis, Present. Pada tahap Capture, teknik yang digunakan dalam melakukan  pencarian bukti pada aplikasi BlueStacks adalah live forensik. Hasil penelitian ini menunjukan bahwa analisis forensik pada perangkat android simulator Bluestacks dapat dilakukan sesuai prosedur ACPO. From the procedure carried out, information related to communication on the WhatsApp application was obtained. The source of this information is obtained from the WhatsApp database file msgstore.db.crypt12 which has been decrypted using the SQLite Browser application with a combination of the WhatsApp Key file contained in the cloned digital evidence. From the results of the decryption that has been carried out, then an explanation is carried out through the WhatsApp viewer application to make it easier to understand from the display side.
Pembangunan Sistem Informasi Manajemen dan Pelayanan Konsumen PT. Air Minum Giri Menang (PERSERODA) Rifqi Hammad; Habib Ratu Perwira Negara; Ahmad Ahmad; Muhammad Arfa; Lalu Erwin Jannata Arhaditya
ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 2 No 2 (2022)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/adma.v2i2.1616

Abstract

PT. Air Minum Giri Menang is a drinking water service provider company located in the city of Mataram. The existence of news media and information on consumer complaints is also one of the services provided by this company, where consumers can easily get updates from the latest news about drinking water services, but the management of this information is still somewhat inefficient because the categories of Latest News and Disturbance Information are still managed by a different admin. This activity is carried out by the service team as a form of applying knowledge to help the community. The method used is the Waterfall method which makes it easier to build the system to be achieved. The purpose of this activity is to build an information portal and complaint service, as well as build a system that can help admins from PT. Air Minum Giri Menang manages news information and consumer complaints in one place. Based on the results of the test cases, it can be concluded that the application can run well and in accordance with the desired results regardless of the type of device the application is accessed from.
APLIKASI MOBILE ARSIP PRODI MENGGUNAKAN FRAMEWORK CORDOVA (STUDI KASUS : PRODI TEKNIK INFORMATIKA INSTITUT SHANTI BHUANA) Nurcahyo, Azriel Christian; Firgia, Listra; Hammad, Rifqi
Informasi Interaktif Vol 6, No 1 (2021): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The use of mobile-based applications has become a necessity for routine administration, especially for lecturers at the Shanti Bhuana Institute, Bengkayang, West Kalimantan. Twice weekly study program meetings, namely tuesday and friday, are an obligation so that lecturers can evaluate the performance with the head of the study program and the vice chancellor regarding the progress of each study program line such as research, community service, teaching and learning activities, even workshops. However, the briefing was limited to communication via whats app during the pandemic season making it difficult to recap the minutes during the briefing, especially as a report to the stakeholders.The NopTI application (Notulen Arsip Prodi TI) is presented to make it easier for lecturers to archive routine briefings based on mobile android. By using the cordova framework which is still rare in developing mobile applications and utilizing google drive as a storage medium, it will certainly reduce costs in terms of database storage. Applications are used more than 80% by IT lecturers, 60% use online briefings, 40% offline briefings and black box tested by several IT experts valid 100% fulfilled from the functions tested, and can be used on android 8.0 to 10.0 and a delay of 186.414 ms nice category to open apps.Keywords: administration, mobile, briefings, cordova..
PENERAPAN METODE APRIORI SEBAGAI SISTEM PENDUKUNG KEPUTUSAN PEMBENTUKAN PAKET PENJUALAN BIBIT BUAH Rifqi Hammad; Veny Cahya Hardita; Muhammad Zulfikri; Eka Wahyu Sholeha
Jurnal SAINTEKOM Vol. 12 No. 1 (2022): Maret 2022
Publisher : STMIK Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v12i1.240

Abstract

Taletan Ijo is an online shop that sells fruit seeds. In carrying out its business processes, he utilizes a sales information system. The system is used to manage sales data. If the data is not used, it will lead to accumulation of data but lack of information. Taletan ijo uses the manual method in its product marketing strategy so that the strategy used is not quite right. Stored sales transaction data can be used as a reference in making marketing strategies such as making product sales packages. This study uses data mining methods, namely associations with a priori algorithms to process transaction data into information that can help support decisions in determining marketing strategies. The results of the study show that the lift ratio test results obtained are 3.2 which indicates that the value is valid with a minimum number of transactions of 10 and a confidence value of 80.
Deteksi dan Estimasi Kecepatan Kendaraan dalam Sistem Pengawasan Lalu Lintas Menggunakan Pengolahan Citra Muhammad Zulfikri; Hairani Hairani; Ahmad Ahmad; Kurniadin Abd. Latif; Rifqi Hammad; Moch. Syahrir
Techno.Com Vol 20, No 3 (2021): Agustus 2021
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/tc.v20i3.4588

Abstract

Deteksi objek berbasis pengolahan citra digital pada kendaraan sangat penting untuk diterapkan dalam membangun sistem pengawasan atau sebagai metode alternatif dalam mengumpulkan data statistik untuk pengambilan keputusan rekaya lalu lintas yang efisien. Pada penilitian ini, dibuat sistem deteksi kendaraan berbasis video lalu lintas untuk jenis kendaraan tertentu dengan menggunakan Haar Cascade Classifier dan estimasi kecepatan kendaraan dilakukan dengan menghitung perbedaan waktu pada Region of Interest (ROI) yang telah ditentukan dan hasilnya akan ditampilkan pada Radar Speed Design. Pengujian dilakukan dengan 5 video pengujian. Hasil yang didapatkan dari deteksi kendaraan yaitu nilai rata-rata recall 0.988 dan presisi 0.97 dan dari perhitungan kecepatan didapatkan nilai Mean Squared Error (MSE) yaitu 0,6.
E-Monitoring Tri Dharma Dosen Program Studi S1 Manajemen Universitas Bumigora Menggunakan Trello Mohammad Najib Rodhi; Rifqi Hammad; Kurniadin Abd Latif; Hany Pebrianti
JEMMA (Journal of Economic, Management and Accounting) Vol 4, No 1 (2021): Maret 2021
Publisher : Universitas Andi Djemma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35914/jemma.v4i1.633

Abstract

AbstrakWork From Home (WFH) merupakan teleworking suatu tipe pekerjaan yang dilakukan dari rumah secara regular tanpa harus datang ke tempat kerja. Di masa pandemi covid-19, pemerintah menerapkan peraturan WFH bertujuan untuk mengurangi penyebaran covid-19. Proses monitoring tridharma dosen sebelumnya dilakukan secara langsung oleh Prodi S1 Manajemen harus dilakukan dengan cara daring. E-Monitoring merupakan pengawasan dan pemantauan proses kerja melalui pemanfaatan teknologi informasi. Tujuan dari penelian ini adalah penerapan Trello dalam membantu Prodi S1 Manajemen  memantau kegiatan Tri Dharma Perguruan Tinggi dosen pada masa pandemi covid-19. Trello merupakan suatu aplikasi visual dengan gaya kanban (kartu catatan atau note) yang digunakan untuk mengorganisai pekerjaan. Penerapan Trello sebagai tools dalam melakukan e-monitoring  tridharma Perguruan Tinggi dosen Prodi Manajemen sangat bermanfaat. Melalui trello, Kaprodi dapat mengetahui sejauh mana progress yang dilakukan dosen pada kegiatan Tri Dharma Perguruan Tinggi. Kata kunci: E-Monitoring, Trello, Work From HomeAbstractWork From Home (WFH) is teleworking, a type of work that is done from home regularly without having to come to work. During the Covid-19 pandemic, the government implemented WFH regulations aimed at reducing the spread of Covid-19. Previously, the lecturers' Tridharma monitoring process was carried out directly by the S1 Management Study Program and must be done online. E-Monitoring is the supervision and monitoring of work processes through the use of information technology. The purpose of this research is the application of Trello in helping the Undergraduate Management Study Program to monitor the activities of the Tri Dharma of Higher Education lecturers during the Covid-19 pandemic. Trello is a visual application in the style of a Kanban (note card or note) used to organize work. The application of Trello as a tool in conducting e-monitoring of the Tridharma of Higher Education for Management Study Program lecturers is very useful. Through Trello, the Head of Study Program can find out the extent of the progress made by lecturers in the Tri Dharma of Higher Education activity.Keywords: E-Monitoring, Trello, Work From Home
Analisis Sentimen Pada Agen Perjalanan Online Menggunakan Naïve Bayes dan K-Nearest Neighbor Eka Wahyu Sholeha; Selviana Yunita; Rifqi Hammad; Veny Cahya Hardita; Kaharuddin Kaharuddin
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 3 No 4 (2022): February
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v3i4.178

Abstract

Social media has impact for decision maker to get more insights broadly. Including for online travel agent company, where costumer’s interest to use online travel agent for their chosen agent will grows along with the high number of customer’s satisfaction. As a one of the most important point in distribution, company provides a platform that reliable and effective to purchase a trip and share information of their experience through Online travel agent. It is important to know how consumer considerate which one the online travel agent they choose. One of their method is looking at the reviews. Facebook is one of social media that provide numerous reviews through comments sections. The research purposes are twofold, algorithm comparison and reveal the effect of uppercase as well as punctuation mark. The accuracy comparison between Naïve Bayes and K-Nearest Neighbor is provided against the datasets. This research collects the data from user comments on Facebook about the biggest three online travel agents in Indonesia. We classify the comments into three categories which are positive, negative, and neutral. The result of this research is found that K-Nearest Neighbor have slightly higher accuracy than the Naïve Bayes. Moreover, lowercase text without punctuation achieves better accuracy for both of algorithm.
Optimasi Neural Network Dengan Menggunakan Algoritma Genetika Untuk Prediksi Jumlah Kunjungan Wisatawan Fatimatuzzahra Fatimatuzzahra; Rifqi Hammad; Ahmad Zuli Amrullah; Pahrul Irfan
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 3 No 4 (2022): February
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v3i4.190

Abstract

West Nusa Tenggara is one of the tourist attractions in Indonesia which has a certain attraction for tourists. With the increase in tourism in NTB, it is necessary to make adequate efforts to maintain tourist objects and attractions. In an effort to maintain a tourist attraction, the NTB provincial tourism office needs to analyze and predict the arrival of local and international tourists. The current analysis and prediction process is still being carried out by collecting data from each tourist attraction entrance. The processed data produces predictions of tourist arrivals, both local and international, where the data processing process takes a long time and requires high human resources. To overcome these problems, it is done by applying computational predictions. Computational predictions can minimize the prediction time and human resources required. The method used is a neural network algorithm with optimized parameters using a genetic algorithm. The optimized parameters are the hidden layer, the number of neurons in the input layer, momentum and others. The data used is time series data from 1997 to 2018. From the neural network experiment, the parameters of the number of neurons in the input layer xt-7 are determined, the number of neurons in the hidden layer 10, the training cycle value is 400, the learning rate value is 0.3 and the momentum value is 0.2. From the experiment, the RMSE value of 0.050 was obtained. While the RMSE value for the neural network algorithm parameters optimized using the genetic algorithm is 0.044. Because of this, it can be stated genetic algorithm with neural network can be used to determine the hidden layer and the number of hidden nodes, the right features, momentum, initialize, and optimize the weight of the neural network. So that the application of the genetic algorithm to optimize the parameter values of the neural network algorithm is better than the application of the neural network algorithm without optimization.
Forensic Whatsapp Investigation Analysis on Bluestack Simulator Device Using Live Forensic Method With ACPO Standard Kurniadin Abd. Latif; Rifqi Hammad; Tomi Tri Sujaka; Khairan Marzuki; Andi Sofyan Anas
IJISTECH (International Journal of Information System and Technology) Vol 5, No 3 (2021): October
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (751.201 KB) | DOI: 10.30645/ijistech.v5i3.148

Abstract

This study aims to conduct a forensic analysis of the WhatsApp application on the Bluestacks android simulator device. BlueStacks App Player is designed to allow Android apps to run on PCs running Microsoft Windows and Apple's macOS. In this study, the scenario was carried out using two devices as Whatsapp communication media. The first device is a laptop device that uses the Bluestacks android simulator with the SM-G955F device type, and the second is a smartphone device as opposed to communication. This study uses the ACPO standard which consists of several stages such as Plan, Capture, Analysis, Present. Pada tahap Capture, teknik yang digunakan dalam melakukan  pencarian bukti pada aplikasi BlueStacks adalah live forensik. Hasil penelitian ini menunjukan bahwa analisis forensik pada perangkat android simulator Bluestacks dapat dilakukan sesuai prosedur ACPO. From the procedure carried out, information related to communication on the WhatsApp application was obtained. The source of this information is obtained from the WhatsApp database file msgstore.db.crypt12 which has been decrypted using the SQLite Browser application with a combination of the WhatsApp Key file contained in the cloned digital evidence. From the results of the decryption that has been carried out, then an explanation is carried out through the WhatsApp viewer application to make it easier to understand from the display side.
Application of the Blowfish Algorithm in securing patient data in the database Pahrul Irfan; Rifqi Hammad; Andi Sofyan Anas; Fatimatuzzahra; Nanang Samudra
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 2 (2022): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (350.146 KB) | DOI: 10.31940/matrix.v12i2.102-108

Abstract

Patient data is one of the datasets managed by the hospital. Patient data in the form of examination results and other data is important data that is private and confidential. Therefore, patient data needs to be secured so that there is no misuse of data by parties who are not responsible for things that can harm the data owner. One of the several methods that can be used to secure data is cryptography. Cryptography itself has several algorithms, one of which is blowfish. This study applies the blowfish algorithm to secure patient data in the database to reduce the possibility of data misuse by irresponsible parties. This study succeeded in implementing the blowfish algorithm for securing patient data. The data stored in the database is the result of encryption using the blowfish algorithm, the results of which are difficult to understand because there is a combination of symbols and text. The application of the algorithm affects the data storage time in the database, which originally took 0.12 seconds to save data and now takes 0.28 seconds to store data.