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STRING (Satuan Tulisan Riset dan Inovasi Teknologi)
Published by Universitas Indraprasta PGRI
ISSN : 25279661     EISSN : 25492837     DOI : http://dx.doi.org/10.30998/string.v4i3.6197
Core Subject : Science, Education,
Computer Science & IT Mathematics
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) focuses on the publication of the results of scientific research related to the science and technology. STRING publishes scholarly articles in Science and Technology Focus and Scope Covering: 1. Computing and Informatics 2. Industrial Engineering 3. Electrical Engineering 3. Mechanical Engineering 4. Applied Mathematical 5. Physics (Classical and modern) 6. Mathematics and Science
Arjuna Subject : Ilmu Komputer (semua kategori) - Teori Komputasi dan Matematika
Articles 373 Documents
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Diagnosa Tingkat Depresi Mahasiswa Selama Masa Pandemi Covid-19 Menggunakan Algoritma Random Forest Dewi Septiani; Ultach Enri; Nina Sulistiyowati
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 6, No 2 (2021)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (541.785 KB) | DOI: 10.30998/string.v6i2.10361

Abstract

Covid-19  virus has become a pandemic across the world, including Indonesia. Based on the data from the Covid-19 Handling Officer Unit, the number of Covid-19 sufferers in Indonesia until February 15, 2021 reaches 1.2 million people. The number of daily cases that continues to grow has forced the government to enforce policies to work, study, and worship from home to minimize the Covid-19 transmission. The policy and many Covid-19 sufferers Indonesia affect the mental health of people, including students of Singaperbangsa Karawang University. Therefore, this research aims to diagnose the initial level of depression in students of Singaperbangsa Karawang University during Covid-19 pandemic by using data mining with Random Forest algorithm. The method used in this research is KDD (Knowledge Discovery in Database) with data used come from PHQ-9 questionnaire given to 392 respondents according to calculation of Slovin formula. Evaluation model used is 10-fold cross validation, with accuracy, sensitivity and specificity parameters. The results of the research show the depression level prediction model using Random Forest algorithm has an accuracy of 85.94%. From 392 students, 1.02% of students are normal, 47.96% have mild depressive symptoms, 36.73% have mild depression, 8.16% have moderate depression, and 6.12% have major depression.
Perancangan Sistem Identifikasi Tipe Sidik Jari Manusia Menggunakan Matlab Fitri Rahmah
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 6, No 2 (2021)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (696.175 KB) | DOI: 10.30998/string.v6i2.11373

Abstract

Human fingerprints are unique in this world. This is why human fingerprints are frequently used as a form of identification or self-recognition. Human fingerprints are classified into three categories: whorl, arch, and loop. The wavelet transformation is used because it is capable of identifying discontinuous lines. Because human fingerprints contain discontinuous lines, this method is ideal for recognizing fingerprint images, which are then compared to database images. Additionally, the method of image processing with Matlab software and integration with a GUI (Graphical User Interface) is described, so that it can be used to recognize human fingerprint types.
Evaluasi Usability dan Perbaikan Antarmuka pada Laman Utama kominfo.go.id Santika Sari; Amelia Rizky Ramadhan
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 6, No 2 (2021)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (596.709 KB) | DOI: 10.30998/string.v6i2.9374

Abstract

As the vanguard of information delivery, the Ministry of Communication and Information Technology of the Republic of Indonesia has a main Web Page with a prominent role. However, it turns out that there are still many people who complain about the difficulty in operating some features on the Ministry of Communication and Information Technology's Web Page (kominfo.go.id) and about the mismatches between the features and psychological and ergonomic factors. These are the usability problems found on the kominfo.go.id page. Some parameters that can be used as benchmarks in measuring web usability criteria are comprised of Learnability, Efficiency, Memorability, Errors, and Satisfaction. The settlement method that will be used is the usability testing to be carried out by observing the users, the data of which are taken and then analyzed to produce the results to be used as a reference for improvement suggestions. Improvement suggestions are realized by redesigning the interface of the kominfo.go.id web page using several methods in designing the web page interface, one of which is a Human-Centered Design method.  The usability level of the kominfo.go.id web page is quite far from the tolerance limit. It should be at least 75% efficiency level, but kominfo.go.id only gets 18% efficiency level. Therefore, it is necessary to hold the improvement of the user interface
Implementasi Algoritme C4.5 untuk Prediksi Penanaman Cabai Merah Muhammad Syam Firdaus; Aji Primajaya; Asep Jamaludin
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 6, No 2 (2021)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (860.144 KB) | DOI: 10.30998/string.v6i2.10378

Abstract

Chili has been the most widely grown plant in Indonesia because it can bear fruit and grow in the highlands and the lowlands. Every year the market demand for chili continues to increase, even the annual price of chili tends to increase as a result of reduced chili supply and less fulfilled market demand. Besides, the crop failure experienced by chili farmers cause inflation growth in 2020 as much as 0.31%, resulting from rising prices in the food sector, including the price of cayenne pepper and red chili. The fluctuations in chili prices are strongly influenced by weather, harvest season, trade policies and the accompanying momentum. According to the background, the purpose of this study is to predict chili planting using the C4.5 algorithm. First, the researchers collect weather and price data taken from DISPERINDAG, BMKG, use chili price data on the market as a dataset to be later preprocessed to eliminate missing values, data outliers and imbalance data and then make a model that can predict chili planting. The prediction results using the rule from the decision tree have an accuracy rate of 97.8% based on the calculation of the prediction using validation data as much as 95 data
Rancang Bangun Sistem Informasi Penjualan Pada PT Hastika Telekomunikasi Kencana Ega Shela Marsiani
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 6, No 2 (2021)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (735.438 KB) | DOI: 10.30998/string.v6i2.9627

Abstract

This Sales Information System Design is created with the aim of easing agency’s buying and selling transactions in large quantities often called wholesalers until the proof of transaction in the form of receipts are printed. The methods used in this research are an interview approach and a literature study in the related agency, namely PT. Hastika Telekomunikasi Kencana Tebet Jakarta. The result of this research is an application that can help PT. HastikaTelekomunikasi Kencana in making the proof of payment and of various buying and selling transactions and in providing more guaranteed data security
Penerapan Algoritma Support Vector Machine (SVM) dengan TF-IDF N-Gram untuk Text Classification Nur Arifin; Ultach Enri; Nina Sulistiyowati
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 6, No 2 (2021)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1003.319 KB) | DOI: 10.30998/string.v6i2.10133

Abstract

Syntax Journal of Informatics is an information system that contains a collection of scientific articles managed by the Informatics Study Program of Singaperbangsa Karawang University. Currently, Syntax Journal of Informatics does not have a feature for categorizing scientific articles based on their focus and scope. The research is conducted to classify scientific articles into categories according to focus and scope contained on Syntax Journal of Informatics’ page automatically by utilizing the text mining process. Text mining is a process that aims to get important information from the text. The method used in the research is Knowledge Discovery in Database (KDD) with stages of data selection, preprocessing, transformation, modeling and evaluation. This study will compare the classifications based on the title of the article. The algorithm used is the Support Vector Machine (SVM) using four SVM kernels, including the linear kernel, polynomial kernel, sigmoid kernel and RBF kernel. Data are divided into four scenarios by using traintestsplit, namely 60:40, 70:30, 80:30 and 90:10. The results of the study after testing the model are measured by of Accuracy, Precision, Recall and F-measure. The best results are accuracy of 70%, precision of 75%, recall of 69% and f-measure of 71% in the 90:10 comparison scenario and linear kernel.
Analisis Forensik Konten dan Timestamp pada Aplikasi Tiktok Fauzan Natsir
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 6, No 2 (2021)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (570.033 KB) | DOI: 10.30998/string.v6i2.11454

Abstract

The Tiktok application is one of the social media platform applications that often finds many loopholes to get the identity of the application's users. TikTok has experienced tremendous growth by reaching 1.5 billion users in 2019. This research uses an Open-Source Intelligence (OSINT) method as a standard in the research phase to reveal the timestamps obtained from the TikTok application. The method used in this research is the National Institute of Standard Technology (NIST). The research uses forensic tools, namely Browser History Capture/Viewer, Video Cache Viewer, Unfurl and Urlebird. The result of this research shows a complete description of all digital artifacts and timestamps obtained from TikTok content. Furthermore, by using the results of the analysis in the research, it is expected that the research can help to reconstruct the content and to search for keywords from the timestamp in the TikTok application.
Penerapan Konsep Finite State Automata (FSA) pada Vending Machine Voucher Internet Corner Ilham Wahyudi Siadi; Kukuh Panggalih; Ahmad Bayhaqqi; Windu Gata
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 6, No 2 (2021)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (350.554 KB) | DOI: 10.30998/string.v6i2.10178

Abstract

The Internet today has been widely used by all circles, even young children are familiar with it. However, there are some places that are still not covered by an adequate Internet signal. Therefore, this research makes an effort to create a Vending Machine that can provide a variety of Internet packages that can be used in certainly strategic places. In addition, the machine charges a very affordable price and it is very helpful for Internet users to get proper Internet access in places with very inadequate signal for Internet use. The research applies a Finite State Automata method. After this product is tested using the Finite State Automata method and given to several sources, it receives many quite positive responses, with the expectation it can help the community in enjoying Internet access.
Optimalisasi Produksi Tahu Menggunakan Metode Branch and Bound dan Cutting Plane Fatimah Khilaliyah Azzahrha; Rianita Puspa Sari; Muhamad Dhika Rahma Fauzi
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 6, No 2 (2021)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (720.551 KB) | DOI: 10.30998/string.v6i2.10821

Abstract

Kegiatan alokasi sumber daya pada proses produksi merupakan hal penting yang perlu diperhatikan untuk mencapai tingkat produksi optimal. Permasalahan optimalisasi produksi masih menjadi kendala bagi sebagian besar usaha yang bergerak di bidang makanan. Salah satunya, Pabrik Tahu Pak Yayat yang memproduksi dua jenis tahu, yaitu tahu putih dan tahu kuning. Penelitian ini bertujuan untuk mengoptimalkan jumlah produksi tahu melalui alokasi sumber daya yang tepat untuk mencapai keuntungan usaha yang maksimum. Metode yang digunakan adalah metode branch and bound dan cutting plane. Teknik pengambilan sampel dilakukan dengan purposive sampling. Hasil penelitian metode branch and bound diperoleh kombinasi produksi 36 papan tahu putih dan 75 papan tahu kuning yang memberikan keuntungan maksimum Rp.1.872.000,00. Sedangkan metode cutting plane diperoleh hasil kombinasi produk 37 papan tahu putih dan 75 papan tahu kuning dengan keuntungan Rp.1.886.500,00. Dapat disimpulkan bahwa metode cutting plane memberikan hasil yang optimal dengan keuntungan yang maksimum dibandingkan branch and bound. Pada penelitian ini, software lingo digunakan untuk mempermudah proses pengolahan data serta membandingkan hasil perhitungan antara manual dan software untuk menghindari kesalahan perhitungan.
Teknik Uji Penetrasi Web Server Menggunakan SQL Injection dengan SQLmap di Kalilinux Rudi Hermawan
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 6, No 2 (2021)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v6i2.11477

Abstract

In recent years cases of cyber attacks that lead to website security have increased. The most widely used website hacking threat is sql injection. By using the sqlmap tool that runs on the Kalilinux  operating system, attackers can easily take over very important user authentication data with their passwords. Attackers only use a special SQL query script using the python programming language will force the web server to output database information, tables, columns and data contents. This sql injection technique is not difficult, knowing how sql injection works is expected to be useful for web admins and web application developers to be able to secure user access from attackers. This attack simulation uses a virtual machine, by creating two virtual computers that are scripted as the attacker and the target server. By testing through this simulation, we can find out how the attack process and the consequences of attacks carried out by attackers.

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