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All Journal Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Innovation in Research of Informatics (INNOVATICS) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Journal of Software Engineering and Information System (SEIS)
Mualfah, Desti
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Comparison of Naïve Bayes and Random Forest Algorithm in Webtoon Application Sentiment Analysis Admojo, Fadhila Tangguh; Risnanto, Slamet; Windiawati, Ai Wulan; Innuddin, Muhammad; Mualfah, Desti
INNOVATICS: International Journal on Innovation in Research of Informatics Vol 6, No 1 (2024): March 2024
Publisher : Department of Informatics, Siliwangi University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/innovatics.v6i1.10636

Abstract

The Webtoon application has become one of the popular platforms for reading comics digitally. Webtoons, as a form of digital comics, present various types of comic content. The success of a Webtoon application depends greatly on understanding the preferences and views of its users. User evaluations of Webtoon applications can provide valuable insight into user satisfaction levels, as well as identify problems that need to be fixed by developers. In this research, Sentiment Analysis was applied to user reviews of the Webtoon Application on the Google Play Store. This research uses two different classification algorithms, namely Naïve Bayes and Random Forest, with the aim of comparing their performance in the context of sentiment analysis of user reviews of Webtoon applications. The results of this research are expected to provide an overview of the most suitable algorithm for conducting sentiment analysis classification in Webtoon applications. In collecting the dataset, we involved webtoon user reviews covering various sentiments, such as positive, negative, and neutral. However, in this analysis, the focus is given to two types of sentiment, namely positive and negative. We apply Naïve Bayes and Random Forest algorithms to perform sentiment classification on the reviews. Performance evaluation is carried out by considering metrics such as accuracy, precision, recall, and F1-score. The results of implementing these two algorithms are an accuracy of 74% Naïve Bayes, and 88% Random Forest. It can be concluded that the Random Forest algorithm is superior to the Naïve Bayes algorithm. With this, the Random Forest algorithm becomes a recommendation for classifying sentiment analysis for Webtoon applications with greater accuracy.
Analisis Forensik Metadata Kamera CCTV Sebagai Alat Bukti Digital Mualfah, Desti; Ramadhan, Rizdqi Akbar
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Vol. 11 No. 2 (2020): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/digitalzone.v11i2.5174

Abstract

Kejahatan konvensial yang terekam kamera CCTV (Closed Circuit Televison) semakin banyak ditemukan di masyarakat, setiap pelaku kejahatan yang terbukti melakukan tindak pidana tertentu akan dihukum sesuai dengan peraturan perundang-undangan. Kamera CCTV memiliki peran penting dalam keamanan, banyak diantaranya hasil tangkapan rekaman kamera CCTV dijadikan sebagai alat bukti digital. Tantangannya adalah bagaimana teknik yang diperlukan untuk penanganan khusus investigasi digital forensik dalam mencari bukti ditgital rekaman kamera CCTV menggunakan metode live forensik, yaitu ketika barang bukti dalam keadan aktif berdasarkan pedoman SNI 27037:2014 sesuai acuan kerangka kerja Common Phases of Computer Forensics Investigation Models untuk di implementasikan ke dalam dokumen Chain of Custody. Hasil penelitian ini berupa hasil analisis video rekaman kamera CCTV tentang karakteristik bukti digital dan informasi metadata yang digunakan untuk memberikan penjelasan komprehensif secara terstruktur serta acuan pengelolaan informasi data yang didapat dari hasil investigasi digital forensik yang dapat dipertanggungjawabkan dalam persidangan. Kata kunci: Bukti Digital, Live Forensik, Metadata, Kamera CCTV, Chain of Custody. Abstract Conventional crimes that are recorded on CCTV (Closed Circuit Television) cameras are increasingly being found in society, every crime that commits certain crimes will be in accordance with statutory regulations. CCTV cameras have an important role in security, many of which are recorded by CCTV cameras used as digital evidence. The challenge is how the techniques required for special handling, digital forensics in searching for digital evidence of CCTV camera footage using the live forensic method, namely when the evidence is in an active state based on the latest SNI 27037: 2014 according to the framework reference Common Phases of Computer Forensics Investigation Models for in implement it into the Chain of Custody document. These results of this research are in the form of analysis of CCTV camera video recordings about the characteristics of digital evidence and metadata information used to provide a structured comprehensive explanation and reference data management information obtained from the results of digital forensic investigations that can be accounted for in court. Keywords: Digital Evidence, Live Forensic, Metadata, CCTV Camera, Chain of Custady.
ANALISIS PERBANDINGAN IPv4 DENGAN IPv6 PENGGUNAAN CCTV BERBASIS AREA TRAFFICT CONTROL SECURITY (ATCS) Mualfah, Desti; Putra, Gope Mandala; Firdaus, Rahmad
Journal of Software Engineering and Information System (SEIS) Vol. 2 No. 1 (2022)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (670.031 KB) | DOI: 10.37859/seis.v2i1.3339

Abstract

Internet access is an activity that cannot be separated from the needs of the community, it can be seen from the many activities that use TCP/IP-based internet access. The use of the internet protocol using IPv4 which is currently starting to not meet human needs, it is recommended to be able to implement IPv6 which has a simple header and has a better QoS (Quality of Service). One of these IPv6 is applied to traffic CCTV cameras based on ATCS (Area Traffic Control Security) which works to unify and record traffic activities for 24 hours in the hope that the video streaming results have better network quality.
AKUISISI BUKTI DIGITAL PADA APLIKASI TAMTAM MESSENGER MENGGUNAKAN METODE NATIONAL INSTITUTE OF JUSTICE Mualfah, Desti; Viransa, Afdel; Amran, Hasanatul Fu’adah
Journal of Software Engineering and Information System (SEIS) Vol. 3 No. 1 (2023)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (750.131 KB) | DOI: 10.37859/seis.v3i1.4548

Abstract

Smartphones are one of the tools used in carrying out daily work activities, the number of active social media users in Indonesia in January 2019 reached 150 million, 130 million of whom accessed social media using smartphones. With the development of smartphones in social media, many are misused using instant messaging applications, one of which is cybercrime such as cyberbullying, human trafficking systems, fraud and so on. Cyberbullying is one of the negative impacts in cyber crime through the use of applications that are often used, namely the TamTam Messenger social media. The problem that will be discussed in this study is the digital forensic process, especially mobile forensics in order to find digital evidence that was deleted on the TamTam Messenger application using the MobileEdit forensic tools and the National Institute of Justice method. The results of this study show that using the MobileEdit forensic tools and the National Institute of Justice method succeeded in recovering digital evidence that had been deleted by the perpetrator on the TamTam Messenger application.
Analisis Digital Forensik Keaslian Video Rekaman CCTV Menggunakan Metode Localization Tampering Mualfah, Desti; Rizki, Yoze; Gea, Meiriladiwis
Computer Science and Information Technology Vol 3 No 1 (2022): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v3i1.3697

Abstract

Video is one the valid evidence if the handling process is in accordance with digital forensic procedures. Closed circuit television is a video sourse that is often used as authentic evidence in court. The authenticity of the video is something that is often doubted by certain parties. For this reason, this discusses how to detect the authenticity of video as digital evidence by comparing the original video files and tampering video files resulting from attack frame addition and attack frame delection. The media info tool is used to analyze the metadata and the localization tampering method is used to detect the frame where manipulation occurs. Localization tampering analyzes frame by frame, calculates as histogram and displays a histogram graph. Based on the results of the metadata analysis of the original video file and the video file tampering, it displays different information, which means that the video has been manipulated. Next, analyze the video with the localization tampering method to display the location on the video frame where manipulation has occurred. From the analysis results provide different information both from the calculation of the RGB value and the histogram graph.
Teknik SMOTE untuk Mengatasi Imbalance Data pada Deteksi Penyakit Stroke Menggunakan Algoritma Random Forest Mualfah, Desti; Fadila, Wahyu; Firdaus, Rahmad
Computer Science and Information Technology Vol 3 No 2 (2022): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v3i2.3912

Abstract

Stroke merupakan penyakit yang berpotensi menyebabkan kelumpuhan bahkan kematian. Pada tahun 2022, stroke terdapat 12,2 juta kasus stroke baru yang menambah jumlah total penderita stroke sebesar 101,4 juta. Dari perolehan data maka diperlukan sebuah teknik yang mampu melakukan deteksi pada penyakit tersebut untuk membantu dalam mendeteksi penyakit stroke, dalam hal ini pendekatan machine learning sebagai salah satu solusi yang dapat digunakan untuk melakukan deteksi pada penyakit stroke. Namun sayangnya data yang diperoleh dalam mendeteki penyakit stroke ditemukan adanya imbalance class dalam menangani tidak imbangnya class sehingga dapat mempengaruhi hasil nilai akurasi dalam mendekteksi penyakit stroke, untuk itu dibutuhkan sebuah algoritma random forest dan metode SMOTE dalam menangani imbalance class. Output yang dihasilkan ialah berupa nilai akurasi, presisi, recall, dan f1-score pada algoritma random forest tanpa SMOTE sebesar 0.98, 0.69, 0.51, dan 0.51. Sedangkan algoritma random forest dengan SMOTE mendapatkan masing-masing sebesar 0.91, 0.92, 0.91, 0.91. Terjadi kenaikan signifikan pada presisi, recall, dan f1-score.
Analisis perbandingan tools mobile forensic menggunakan metode national institute of justice (NIJ) Mualfah, Desti; Muhammad Iqbal Syam; Baidarus
Computer Science and Information Technology Vol 4 No 1 (2023): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v4i1.4767

Abstract

Media sosial sebagai salah satu aplikasi pesan singkat berbasis online dan sangat populer dikalangan masyarakat khususnya di Indonesia. Salah satu aplikasi media sosial terpopuler adalah Signal Messenger. Kepopuleran penggunaan aplikasi ini dipengaruhi karena kekhawatiran dan kepedulian dalam menjaga informasi pribadi masing-masing penggunanya. Aplikasi pesan instan seringkali disalahgunakan pada momen kejahatan dunia maya atau dikenal dengan istilah cybercrime. Pada penelitian telah dilakukan perbandingan kinerja dari dua forensic tools yaitu Oxygen Forensic Detectivedan Belkasoft Evidence Center, yang digunakan untuk mengembalikan data yang telah dihapus, dan barang bukti digital lainnya pada skenario kasus transaksi jual beli narkoba. Metode investigasi dalam penelitian mobile forensic ini menggunakan National Institute of Justice (NIJ), yang terdiri atas lima tahapan antara lain identification, collection, examination, analysis, dan reporting. Dari hasil analisis pada pencarian 6 bukti digital pada file physical image ‘mmcblk0’, menggunakan tool mobile forensic Oxygen Forensic Detective, didapatkan sebanyak 5 dari 6 total bukti digital dengan pencapaian nilai 83.33%. Sedangkan tool mobile forensic Belkasoft Evidence Center, mendapatkan sebanyak 4 dari 6 total bukti digital dengan pencapaian nilai 66.67%. Penggunaan kedua tools tersebut telah berhasil mendapatkan bukti digital, yang digunakan pada skenario kasus transaksi jual beli narkoba, pada barang bukti perangkat smartphone android Samsung Galaxy J2 Prime.
Analisis dan perancangan user interface dan user experience untuk sistem asuransi karyawan berbasis web menggunakan metode design thinking Mualfah, Desti; Rajif, Iqbal
Computer Science and Information Technology Vol 4 No 3 (2023): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v4i3.6233

Abstract

In developing a software application design, it is often done without first observing the user. So the result often causes many problems. Inappropriate design of the interface and user experience will cause problems in the application after it is created. User interface and user experience are two things that are very important and cannot be separated. How easy or difficult it is to use a product will of course also have a big influence on the user's experience when they use the product. Using design thinking in creating a product can have a big influence on the UI/UX process. In designing the WorkerLife website, the author used the design thinking method as a solution to solve problems faced by users and carried out usability testing and assessment using SUS (System Usability Scale). When testing website designs. A score of 77.58 was obtained with a good rating so that the design has been successfully created and users do not experience confusion or difficulties when running the website design prototype.
Sistem Prediksi Penjualan Pupuk Kelapa Sawit PT. Agro Subur Anugrah Menggunakan Metode Single Exponential Smoothing Sunanto, Sunanto; Mualfah, Desti; Ronaldo, Aditya
Computer Science and Information Technology Vol 5 No 1 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v5i1.6976

Abstract

A factory is an industrial facility where raw materials or components are processed or processed into finished products. The production process in a factory can involve a wide range of activities, including manufacturing, processing, assembly, and energy production. PT. Agro Subur Anugrah is the owner of the Ultra Agrotan organic fertilizer factory which is made from empty palm oil bunches. The Ultra Agrotan fertilizer factory started production in 2017 with a production capacity of 15 tons per day. Due to the increase in the price of chemical fertilizers, demand for Ultra Agrotan fertilizer increased, so production was increased to 50 tons per day. Fertilizer sales are greatly influenced by various factors, namely weather conditions, soil quality, soil type, age of oil palm plants, and cultivation practices carried out by farmers or plantation companies which are not fixed every year, so that fertilizer sales are not smooth due to these conditions. Large unsold fertilizer stocks will harden, this can be detrimental to the company. In this case, a system is applied that can predict the amount of fertilizer production every day, week, month and year based on fertilizer demand data in the previous year, namely fertilizer sales data for 2017, 2018, 2019, 2020, 2021 and 2022. The application is presented using a web-based The single exponential smoothing method is expected to help calculate the amount of production, stock and consumer demand for Ultra Agrotan fertilizer.
Sistem Monitoring pH dan Kelembaban Tanah pada Tanaman Kacang Tanah Berbasis IoT Mualfah, Desti; Sandi, Ganesa Heru; Fuad, Evans
Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Vol 4 No 2 (2023): Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Oktober 2023
Publisher : Fakultas Teknik Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/jatim.v4i2.2289

Abstract

Kacang tanah jadi salah satu jenis tanaman leguminosae yang berperan cukup penting dalam memenuhi kebutuhan pangan. Untuk menjaga gizi yang ada di dalamnya maka pembudidayaan Kacang tanah membutuhkan kondisi tertentu supaya mendapatkan hasil yang diinginkan. Salah satu yang mempengaruhi dalam pertumbuhan kacang tanah adalah pH tanah dan kelembaban tanah. Oleh karena itu sistem monitoring pH dan kelembaban tanah dibuat untuk membantu memonitoring pH dan kelembaban tanah agar mendapatkan hasil panen sesuai yang diinginkan. Sistem ini berbasiskan IoT (Internet of Things) sehingga dapat dilakukan monitoring melalui smartphone dimana saja asalkan terhubung ke jaringan internet. Sistem ini menggunakan dua sensor untuk mengambil data yaitu sensor pH dan sensor kelembaban YL-69. Cara kerja dari sistem ini adalah ke dua sensor mengambil data lalu di kirimkan ke NodeMCU ESP8266 dengan bantuan arduino uno lewat komunikasi serial, data akan di olah menjadi rekomendasi pupuk/sulfur dan tingkat pemberian air oleh fuzzy logic. Hasil pengukuran dan rekomendasi akan ditampilkan pada bot telegram dengan bantuan NodeMCU ESP8266. Hasil uji coba sistem didapatkan bahwa alat sudah berhasil mengukur, memberikan rekomendasi, dan menampilkan pada bot telegram. Hasil akurasi dengan Mean Absolute Error (MAE). Didapatkan bahwa error pH tanah 0,14 dan kelembaban tanah 4,1.
Co-Authors Admojo, Fadhila Tangguh Aminuyati Amran, Hasanatul Fu’adah Baidarus Evans Fuad Fadila, Wahyu Gea, Meiriladiwis Januar Al Amin Kamal Saputra, Taufiq Mardiah, Adilla Muhammad Innuddin Muhammad Iqbal Syam Putra, Gope Mandala Rahmad Firdaus Rahmad Firdaus Rajif, Iqbal Ramadhan, Rizdqi Akbar Rivaldi, Hardi Rizki, Yoze Ronaldo, Aditya Sandi, Ganesa Heru Slamet Risnanto Sunanto Viransa, Afdel Windiawati, Ai Wulan