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All Journal JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Teknik Elektro Uniba (JTE Uniba) Jurnal Kajian Ilmiah Teknomatika: Jurnal Informatika dan Komputer
Lahitani, Alfirna Rizqi
Universitas Jenderal Achmad Yani Yogyakarta
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Library & Information Science Social Sciences

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Automated Essay Scoring menggunakan Cosine Similarity pada Penilaian Esai Multi Soal Alfirna Lahitani
Jurnal Kajian Ilmiah Vol. 22 No. 2 (2022): Mei 2022
Publisher : Lembaga Penelitian, Pengabdian Kepada Masyarakat dan Publikasi (LPPMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (510.826 KB) | DOI: 10.31599/jki.v22i2.1121

Abstract

Process of determining scores automatically from one or several documents based on text data included in the field of Automated Essay Scoring (AES). Mechanism for scoring answers manually takes a long time to assess students' essay answers, especially for multi-question answers. The implementation of Automated Essay Scoring (AES) is to make correction and scoring easier by application that run on computers. This study applied TF-IDF weighting method and cosine similarity measurement method in multi-question of essay answer document. The test carried out through the preprocessing phase for data extraction, then weighting on each word term. Weighted value is the calculated using cosine similarity to get the degree of similarity. In each question, the point has been given, the cosine similarity value can be calculated with points from each question. This process produces a final score from student answer document which is compared with an expert document. By using the principle of similarity, only the relevant text or character from an expert document will be given weight, to get the similarity value, the number of terms contained in the answer document must match, neither in fewer nor more in number.
Deteksi Dini Mahasiswa Drop Out Menggunakan C5.0 Ulfi Saidata Aesyi; Alfirna Rizqi Lahitani; Taufaldisatya Wijatama Diwangkara; Riyanto Tri Kurniawan
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 6 No. 2 (2021): Mei 2021
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (227.177 KB) | DOI: 10.14421/jiska.2021.6.2.113-119

Abstract

The decline in the number of active students also occurred at the Faculty of Engineering and Information Technology, Universitas Jenderal Achmad Yani. This greatly affects the profile of study program graduates. So it is necessary to have a system that is able to detect students who are threatened with dropping out early. In this study, the attributes chosen were the student's GPA and the percentage of attendance . This attribute is used to classify students who are predicted to drop out. The research data uses student data from the Faculty of Engineering and Information Technology, Universitas Jenderal Achmad Yani. This study uses the C5.0 algorithm to build a decision tree to assist data classification. The decision tree that was built with 304 data as training data resulted a C5.0 decision tree which had an error rate of 5%. The accuracy results obtained from the 76 test data is 93%.
SISTEM KUISIONER ONLINE EVALUASI KINERJA DOSEN INTEGRASI DENGAN SISTEM INFORMASI AKADEMIK STMIK JENDERAL ACHMAD YANI YOGYAKARTA Alfirna Rizqi Lahitani
Jurnal Teknomatika Vol 7 No 1 (2014): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

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

Abstract

Dosen merupakan salah satu komponen penggerak esensial dalam pendidikan di perguruan tinggi. Dalam proses perkuliahan, interaksi antara dosen dan mahasiswa terjadi saat proses belajar-mengajar. Untuk mencapai profesionalisme dan kinerja yang lebih baik, dapat diwujudkan melalui kegiatan evaluasi kinerja yang diselenggarakan secara rutin. Salah satu bentuk evaluasi dapat dilakukan melalui kuisioner. Penelitian ini bertujuan untuk mengembangkan sistem kuisioner evaluasi kinerja dosen yang digunakan untuk memudahkan mahasiswa memberikan penilaian terhadap kinerja dan kualitas pengajaran dosen secara online. Sistem dirancang berbasis web menggunakan bahasa pemrograman PHP dan MySQL sebagai database engine yang diintegrasikan secara point to point. Dengan penerapan sistem kuisioner online diharapkan dapat membantu pihak pengelola dalam meningkatkan efisiensi dan efektifitas penilaian kinerja dosen guna mengoptimalkan proses pengajaran.
Analisis Keamanan Data Pribadi pada Shopee Paylater Menggunakan Metode Hybrid Nanang Widayanto; Alfirna Rizqi Lahitani; Netania Indi Kusumaningtyas
Jurnal Teknomatika Vol 15 No 1 (2022): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v15i1.1097

Abstract

The low level of awareness and understanding of Shopee online shopping application users regarding the security of user data causes the level of digital crime to increase, as evidenced by the many crime cases that occur, namely the misuse of users' personal data by utilizing OTP codes as a verification process. This can be a loophole for digital crimes that are certainly very detrimental to users. Perform personal data security analysis on Shopee PayLater using the Hybrid method. The method used is the hybrid method, which is a method of combining basic digital forensic techniques with re-engineering techniques. This method can be used to analyze applications that involve user personal data, tools used such as MobSF, Virustotal to view application activity, and apk-deguard for apk reengineering. Personal data security research on Shopee PayLater was carried out using the help of Virustotal and MobSF tools found vulnerabilities caused by users. The results of the personal data security analysis carried out on the Android-based Shopee application show that there are several vulnerabilities in the user's personal data vulnerability, namely in the application licensing section.
DASHBOARD INFORMASI KEADAAN KEKERUHAN AIR PADA AQUASCAPE MENGGUNAKAN SENSOR TURBIDITY Meidiyanto Heri Pratama; Arief Ikhwan Wicaksono; Alfirna Rizqi Lahitani; Alfun Roehatul Jannah
Jurnal Teknomatika Vol 13 No 2 (2020): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v13i2.1103

Abstract

Aquascaping is a more artistic activity that arranges aquatic plants, rocks and wood in an aesthetically pleasing way in the aquarium thereby giving the effect of underwater gardening. The main purpose of aquascaping is to create an underwater scene with the aspect of maintaining aquatic plants and its need for energy through photosynthesis. Several factors that must be considered in the photosynthesis process include lighting as a substitute for sunlight, the level of water turbidity and the water temperature in the Aquascape. This study aims to build an Aquascape monitoring system for the Aquascape by utilizing a turbidity sensor. This study discusses how the water turbidity sensor aids work. When the water condition changes from clean to cloudy, the tool will send an email notification in the form of a solution. The water turbidity sensor reading tool is expected to be able to determine the water content by using a turbidity sensor which is relatively cheap and has good quality. The design of this water turbidity state uses the prototype method and uses the Arduino software which is used as an interface between the PC and the sensor. This research produced a prototype of a sensor reading tool to measure the turbidity of the water using NTU units that have been determined by the minister of health for water turbidity standards 5-25 NTU. Which can be used by Aquascape lovers to get information on water turbidity levels.
Analisis Forensik Digital Pada Komentar Youtube Live Menggunakan Sentiment Analysis Uning Kristiana; Alfirna Rizqi Lahitani; Chanief Budi Setiawan; Nafisa Alfi Sa'diya
Jurnal Teknomatika Vol 15 No 1 (2022): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v15i1.1115

Abstract

The development of increasingly sophisticated technology can have a positive influence on various aspects of our daily lives. From the survey results of the Indonesian Internet Services Association (APJII) in the second quarter of 2019-2020, it shows that Internet users of the operator spend more time watching online videos. Youtube video content watching is open to the public and all ages can freely watch it. However, the content and comments are not necessarily suitable for audiences of all ages to read. Of course, Youtube video content can also affect behavior, especially minors.The purpose of this research is to conduct digital forensic analysis on Youtube Live Comments using sentiment analysis.The research method used applies the NIST SP 800-86 method, namely Collection, Examination, Analysis, and Reporting. Sentiment analysis resulted in 0.01 in the comments on the two videos tested, namely the PUBG and Free Fire video games. Sentiment analysis resulted in 0.01 in the comments on the two videos tested, namely the PUBG and Free Fire video games.
Pemetaan Topik Pembicaraan Pada Komentar Live Youtube Menggunakan K-Means Clustering sebagai Identifikasi awal Kejahatan Verbal Cyberbullying Alfirna Rizqi Lahitani; Adlia Nur Zhafarina; Nanda Saputri Windi Oktavia; Nita Jariyah
Jurnal Teknik Elektro Uniba (JTE UNIBA) Vol. 8 No. 2 (2024): JTE UNIBA (Jurnal Teknik Elektro Uniba)
Publisher : Lembaga Penelitian Universitas Balikpapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36277/jteuniba.v8i2.253

Abstract

Survey APJII 2022 mencatat 98,02% internet digunakan oleh kalangan anak muda generasi Z untuk mengakses media sosial. Keberadaan media sosial tentu saja memiliki dampak sosial, salah satunya sebagai tempat perundungan atau bullying. Permasalahan muncul dalam proses identifikasi korban dan pelaku cyberbullying, selain itu kesulitan dalam makna dan maksud kata yang mengandung unsur bullying dapat menimbulkan multitafsir yang mempengaruhi dalam proses investigasi. Untuk mengatasi permasalahan tersebut, diperlukan sebuah upaya identifikasi awal dengan mengelompokkan topik pembicaraan menggunakan metode text mining. Cara ini dapat dimulai dengan melakukan teknik preprocessing, dikarenakan data percakapan berbentuk teks. Selanjutnya dilakukan pengelompokkan topik menggunakan algoritma K-means clustering. Berdasarkan hasil perhitungan kelompok komentar yang mengandung perundungan kemudian dipetakan dengan bantuan tools Rapidminer. Kontribusi dari penelitian ini adalah sebagai langkah awal implementasi keamanan siber pada tahap identifikasi bukti digital untuk keperluan investigasi dan persidangan. Penelitian ini menghasilkan pemetaan dalam bentuk klaster. Hasil analisis pada 2 klaster terlihat pola pengelompokkan pada term tertentu yang secara konsisten terkelompok dan berisi term yang sama yaitu term “Nanyi”, sehingga dapat ditarik kesimpulan awal bahwa topik yang sedang menjadi pembahasan dalam Video adalah seputar kegiatan bernyanyi atau unsur perbincangan dalam konteks bernyanyi. Sedangkan pada  klaster lain term yang berkelompok lebih beragam karena keunikan masing-masing term.
Co-Authors Adlia Nur Zhafarina Alfun Roehatul Jannah Arief Ikhwan Wicaksono Chanief Budi Setiawan Meidiyanto Heri Pratama Nafisa Alfi Sa'diya Nanang Widayanto Nanda Saputri Windi Oktavia Netania Indi Kusumaningtyas Nita Jariyah Riyanto Tri Kurniawan Taufaldisatya Wijatama Diwangkara Ulfi Saidata Aesyi Uning Kristiana