Article Per Year (5 Year)
p-Index From 2020 - 2025
3.014
P-Index
This Author published in this journals
All Journal Jurnal Sains dan Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING International Journal of New Media Technology Angkasa: Jurnal Ilmiah Bidang Teknologi Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Teknik Elektro Uniba (JTE Uniba) Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Kajian Ilmiah IJ3PE Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia Teknomatika: Jurnal Informatika dan Komputer
Lahitani, Alfirna Rizqi
Universitas Jenderal Achmad Yani Yogyakarta
Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

Published : 20 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 20 Documents
Search

 1   2 
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%.
Cosine Similarity untuk Mengukur Tingkat Kesadaran pada Topik Software Security Berbasis Teks Komentar di Media Sosial Youtube Alfirna Lahitani; Ulfi Saidata Aesyi; Noviana Wulandari; Bagas Dwi Santosa
Jurnal Sains dan Informatika Vol. 8 No. 2 (2022): Jurnal Sains dan Informatika
Publisher : Teknik Informatika, Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/jsi.v8i2.535

Abstract

Kecenderungan peningkatan celah keamanan siber pada kelemahan perangkat lunak akan mengancam kerahasiaan, integritas, dan keamanan tidak hanya secara infrastruktur tetapi dapat meyerang secara psikologis. Menurut survey APJI 2020 sebagian masyakarat hanya merasa aman saat beraktivitas di internet dan menjalankan software namun kurang peduli bahwa ancaman bisa saja datang tanpa disadari. Apakah kesadaran akan keamanan beraktivitas di internet dan menjalankan software telah diketahui oleh sebagian besar masyarakat indonesia. Kesadaran akan keamanan siber khususnya pada area CyBOK Software Security menjadi perhatian bagi para pengguna, sebagian besar aktivitas siber menggunakan software. Kurangnya edukasi akan kesadaran membuat tidak sedikit para pengguna menjadi korban dari celah keamanan siber. Penelitian ini bertujuan melakukan analisis data berbasis teks pada 100 komentar pengguna di sosial media Youtube untuk mengukur tingkat kesadaran terhadap keamanan siber pada topik software security. Data teks dikolektif, dibersihkan dan ditransformasi menjadi term sehingga siap digunakan untuk proses pembobotan. Pembobotan term menggunakan metode TF-IDF, selanjutnya dilakukan pengukuran derajat kemiripan pada topik software security menggunakan Cosine Similarity. Hasil analisis divisualisasi dalam bentuk derajat awareness yang memodelkan tingkat kesadaran pengguna pada topik software security. Hasil pengukuran menunjukkan 98% pengguna pada kategori “kurang aware”, 2% pengguna pada kategori “cukup aware”.
Cybersecurity Issues in ASEAN Country for Society 5.0: Bibliometric Analysis on Scopus Databases Alfirna Rizqi Lahitani; Adkhan Sholeh; Eriksa Gutama
International Journal of Politic, Public Policy and Environmental Issues Vol. 3 No. 1 (2023)
Publisher : Wadah Inovasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53622/ij3pei.v3i1.200

Abstract

Implementation of Society 5.0 was adopted in various countries, including ASEAN. The abbreviation of ASEAN is the Association of Southeast Asian Nations with a total of ten member countries, mainly to promote regional peace and security. The development of decentralized data and communication that has spread across various media and channels has had a positive impact considering ASEAN's role as a link for many investors in various lines such as banking, transportation, e-commerce, telecommunications, and shipping, but it has also raised new concerns about cybercrime. Without supervision, government data including confidential information can be stolen due to cybercrime. It can be a threat to countries that are the target of terrorist attacks or wars through cyberattacks. Cyber security is a concern, without monitoring, the potential for cyberattacks and crimes will become a threat at any time. This study will analyze the development of cybersecurity in ASEAN countries in the Society 5.0 era using a bibliometric approach on several studies in Scopus indexed journals. The research phase begins with data collection using the Publish or Perish (PoP) application, data processing using the Mendeley and Ms. applications. Excel with the aim of selection so that the data is ready to be processed, then analyzed with the VOSviewer application. Based on the results of network visualization analysis, it was found that the keywords that appear the most in each cluster are: ‘ASEAN-civil society', cloud-storage', 'attack-cyberspace-defense', and 'big-data'. This cluster represents the "research stream" of cybersecurity and society. The keywords that appear are based on co-occurrence. The results of the analysis are expected to provide an overview of the latest research themes in the field of cybersecurity and international relations.
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.
Analisis Quality of Service (QoS) Menggunakan Standar Parameter Tiphon pada Jaringan Internet Berbasis Wi-Fi Kampus 1 Unjaya Nisa, Isnaini Syarifatun Nisa; Rahmat Miyarno Saputro; Tegar Fatwa Nugroho; Alfirna Rizqi Lahitani
Jurnal Teknomatika Vol 17 No 1 (2024): 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.v17i1.1307

Abstract

Internet is a very important need in the life of people in the world. Universities can exchange information and share data and communicate with the internet network. General Achmad Yani University Yogyakarta (Unjaya) uses the internet network for activities that occur on campus. QoS testing or internet network performance aims to maintain the stability of network access on the Unjaya campus and reduce the risk of problems such as delays in data transmission. In addition, this research also aims to determine the results of signal quality measurements in the Unjaya real-time area. In this research, QoS measurement is done by using wireshark application. The QoS parameters measured are throughput, delay, jitter, and packet loss. Based on the measurements taken, the results obtained for QOS measurements show that WiFi network performance based on throughput, delay, jitter, and packet loss parameters is in the good category. The final result obtained after measuring QoS is that the Internet network at Campus 1 Unjaya is in the medium category based on TIPHON standardization with an index value of 3.
Co-Authors Adkhan Sholeh Adlia Nur Zhafarina Ahmad Hanafi Ahmad Nurhidayat Alfun Roehatul Jannah Arief Ikhwan Wicaksono Bagas Dwi Santosa Chanief Budi Setiawan Dedy Hariyadi Dewi, Grita Supriyanto Eriksa Gutama Finansia, Cici Irmma Dwijayanti Kusumaningtyas, Kartikadyota Meidiyanto Heri Pratama Muhammad Fahrur R Muhammad Habibi Nafisa Alfi Sa'diya Nanang Widayanto Nanda Saputri Windi Oktavia Netania Indi Kusumaningtyas Nisa, Isnaini Syarifatun Nisa Nita Jariyah Nofa Shintia Noviana Wulandari Rahmat Miyarno Saputro Riyanto Tri Kurniawan Rosid, Ibnu Abdul Taufaldisatya Wijatama Diwangkara Tegar Fatwa Nugroho Ulfi Saidata Aesyi Uning Kristiana