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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Pertahanan : Media Informasi tentang Kajian dan Strategi Pertahanan yang Mengedepankan Identity, Nasionalism dan Integrity Jurnal Ilmiah Media Sisfo Kurawal - Jurnal Teknologi, Informasi dan Industri Antivirus : Jurnal Ilmiah Teknik Informatika Cyber Security dan Forensik Digital (CSFD) Journal of Innovation Information Technology and Application (JINITA) Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Jurnal Teknik Informatika (JUTIF) Jurnal AbdiMas Nusa Mandiri Jurnal Data Mining dan Sistem Informasi Yayasan Cita Cendikiawan Al Khwarizmi IJCOSIN : Indonesian Journal of Community Service and Innovation Jurnal Ilmiah Kampus Mengajar Jurnal Atma Inovasia Jurnal Informatika Jurnal Abdimas Maduma Jurnal Sistem Informasi Galuh Jurnal INFOTEL Jurnal Pengabdian Sosial
Bita Parga Zen
Institut Teknologi Telkom Purwokerto
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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
LANDSLIDE HAZARD MAPPING USING THE SCORE AND WEIGHT METHOD IN BANJARNEGARA Muhammad Lulu Latif Usman; Bita Parga Zen; Zulfina Wiria Ananda; Siti Roqayah; Lintang Cahya Mulyadani; Bunga Laelatul Muna; Aprilia Intan Prasetya
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 1 (2023): JUTIF Volume 4, Number 1, February 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.1.638

Abstract

Banjarnegara has a category of high or very vulnerable landslide susceptibility, according to data from the National Disaster Management Agency from 2006 to 2021, there has always been at least 1 landslide disaster in Banjarnegara. As a step in disaster reduction in Banjarnegara, a landslide hazard analysis was carried out. The methodology used is scoring and weighting using 4 indicators of rainfall, geology, land use, and slope. Landslide susceptibility is measured by calculating the total score which is then categorized based on the total score. The landslide susceptibility category is divided into 4 categories, namely Very Low, Low, Medium, and High. Areas with high vulnerability category have a proportion of 0.06% with an area of 682,073 m2, Medium has a proportion of 55.51% with an area of 625,539,155 m2, and Low has a proportion of 44.43% with an area of 500,730,369 m2. The results of the landslide hazard map can then be used as a reference for the Regional Disaster Management Agency to reduce the risk of landslide vulnerability.
DEAD FORENSIC ANALYSIS OF QUTEBROWSER AND LIBREWOLF BROWSERS USING THE NIST 800-86 METHOD Al Rasyid, Fajar; Parga Zen, Bita
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 5 (2023): JUTIF Volume 4, Number 5, October 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.5.688

Abstract

A browser is software used to access web pages to obtain clear and readable information. Information resources are identified by a Uniform Resource Identifier (URI) and can be web pages, images, videos, or other content. When a browser user engages in online activities, they usually leave traces on the device such as history, cookies, cache files, and even emails and passwords. Such traces can usually help users access a website or input something, such as emails and passwords. The purpose of this research is to obtain digital evidence in the form of a cache on the hard disk in the Librewolf and Qutebrowser browsers. In this study, researchers used the National Institute of Standards and Technology (NIST) 800-86 method which consists of four stages, namely collection, examination, analysis, and reporting. which focuses on the Qutebrowser and LibreWolf browsers. The results obtained from this study were found to be 21 caches, 2 Sessions, 6 Cookies, 8 Network Persistent State, 9 QuotaManager, 11 IndexedDB, 24 LevelDB, 48 Cache Storage, 14 Favicons, 3 History, 6 Database, 3 StartupCache, 4 Alternate Services, 6 Content-Pref, Notification amounted to 1, Permission amounted to 7, Service Worker amounted to 6, SiteSecuristyServiceState amounted to 7, Webappstore amounted to 8, Sessionstore-Backups amounted to 5, Storage amounted to 47 NIST 800-86 method can be properly used in the acquisition of digital evidence and the most crucial data obtained in the Librewolf browser on the telegram and whatsapp sites.
COMPARISON OF LOGISTIC REGRESSION, MULTINOMIALNB, SVM, AND K-NN METHODS ON SENTIMENT ANALYSIS OF GOJEK APP REVIEWS ON THE GOOGLE PLAY STORE Maulana, Audenza; Inayah Khasnaputri Afifah; Asghafi Mubarrak; Kiagus Rachmat Fauzan; Ardhan Dwintara; Zen, Bita Parga
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 6 (2023): JUTIF Volume 4, Number 6, Desember 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.6.863

Abstract

Today's community activities cannot be separated from the name of transportation because it makes it very easy for people's daily activities. With the existence of transportation, people can more quickly reach their destination. With the Gojek application on the Google Play Store, it will help people travel or deliver goods. To determine service quality, sentiment analysis can be used to classify reviews. The purpose of this study is to compare which method has the best accuracy, so that it can classify reviews into positive or negative sentiments. The methods tested in this study are Logistic Regression, MultinomialNB, SVM, and K-NN. Performance assessment methods include score accuracy, recall, and precision, classification reports, and confusion matrix to determine the appropriate method for classifying reviews into positive or negative categories. Of the four methods tested, the one with the highest performance is the Logistic Regression method. Accuracy, recall and precision scores of the Logistic Regression method were 82.45%, 82.49%, 82.45% and 82.43%, respectively. Classification report also shows good results. In the confusion matrix, there are 111 and 124 True positives and True negatives. There are only 22 and 28 False positive and False negative results respectively. The method that has the lowest score is K-NN, with score accuracy, recall, and precision respectively were 52.28%, 59.43%, 93, 52%, and 65.65%. Classification report shows quite bad results. In the connection matrix, it produces True positives and True negatives 130 and 19. There are only 127 and 9 False positive and False negative results respectively. The results of this study state that using the Logistic Regression method is suitable for use in classifying positive and negative reviews in the review dataset on the Gojek application on the Google Play Store.
Co-Authors Abdurahman Abdurahman Afifah Afifah Agatha Dinarah Sri Rumestri Agung Al Rasyid Ahmad Fali Oklilas Aiza Yudha Pratama Al Rasyid, Fajar Alfidzar, Halim Ali Diko Putra, Muhammad Andriawan Firmansyah Anggi Zafia Anita Zanjabiila Aprilia Intan Prasetya Ardhan Dwintara Ari Widodo Arif Wirawan Muhammad Asghafi Mubarrak Aulia Desy Nur Utomo Azhari, Riswan Bunga Laelatul Muna Claudio Felle, Roland Dadan Mulyana Dasril Aldo Diandra Chika Fransisca Dimas Fanny Hebrasianto Permadi Dina Yuliana Ditya Putri Anggraeni Emmareta Fauziah Eryan Ahmad Firdaus Esya Ardhana, Farhan Famila Dwi Winati Fattah Ys, Moh. Abdul Feri Alpiyasin Fikra Titan Syifa Finaliamartha, Dian Firdaus Laia Fitri Nurindahsari Fitri Wahyuningrum Gilang Trifebriyanto, Fajar GITA FADILA FITRIANA Halim Alfidzar Hapsari, Nurul Puspa Harahap, Muhammad Aldho Febrian Hardiyansyah, Alfa Hendry Setiawan Henri Tantyoko Inayah Khasnaputri Afifah Indriyanto, Slamet Ipam Fuaddina Adam Iqsyahiro Kresna A Irwan Susanto Iwan Nofi Yono Putro J. Manurung, Barnes Jose, Abednego Kiagus Rachmat Fauzan Lintang Cahya Mulyadani Mahadhika Wipradharma Maulana, Audenza Maulana, Haisyam Mega Pranata Meliana Dewi Rachmawati Michelli, Laureta Mauren MIFTAHOL ARIFIN, MIFTAHOL Mike, Amran Milda Kamilia Muhamad Azrino Gustalika Muhammad Afrizal Amrustian Muhammad Eka Purbaya Muhammad Nur Fikri Mukarromah, Firma Mu’adin, Dika Alim Nanda Aprillia, Monita Nasywatus Sholichah, Nisa Nindya Prameswara Sayoga Nurul Puspa Hapsari Nurwegiono, Muhammad P , Affriza Brilyan Relo Pambudi Agus Prayitna, Graciella Purnomo Purwoko, Nais Edi Rauna, Yayi Sufia Regi Apriandi Rianti Yunita Kisworini, Rianti Yunita Rifki Adhitama, Rifki Rudy Setiawan Sa'adah, Aminatus Satria Banureksa, Kezya Satria Galang Saputra Shaquille, TB. Ahmad Fadhlan Silalahi, Mario Rudy Siti Roqayah Suleman, Gilang Syani, Mamay Trihastuti Yuniati Tuti Rohayati Umayasyah, Hesny Usman, Muhammad Lulu Latif Utami, Annisaa Utami, Melinda Wahyu Christanto, Febrian Wasitarini, Dewi Endah Wicaksana, Danang Yandriyani, Devilke Yasin, Feri Yohani Setiya Rafika Nur Yosita Dwiani Suryaningtiyas Yoso Adi Setyoko Yudi Permana, Nana Yunita Kisworini, Rianti Zulfina Wiria Ananda