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All Journal Jurnal Pengabdian UntukMu NegeRI Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Pilar Nusa Mandiri VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro JITK (Jurnal Ilmu Pengetahuan dan Komputer) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Riset Informatika Journal of Information System, Applied, Management, Accounting and Research Jurnal AbdiMas Nusa Mandiri JPM: JURNAL PENGABDIAN MASYARAKAT Abditeknika - Jurnal Pengabdian Kepada Masyarakat J-SAKTI (Jurnal Sains Komputer dan Informatika) Tridharmadimas: Jurnal Pengabdian Kepada Masyarakat Jayakarta SPEED - Sentra Penelitian Engineering dan Edukasi PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Jurnal Pengabdian Kreatif Cemerlang Indonesia Vertex Repeater: Publikasi Teknik Informatika dan Jaringan
Tuslaela
Universitas Nusa Mandiri
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Web Program Testing Using Selenium Python: Best Practices and Effective Approaches Rusdiansyah, Rusdiansyah; Suharyanti, Nining; Supendar, Hendra; Tuslaela, Tuslaela
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 2 (2024): Article Research Volume 8 Issue 2, April 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.13569

Abstract

A critical component of software development is testing programs on websites to make sure they run, are secure, and meet user expectations. This article explores efficient methods and best practices for utilizing Selenium with the Python programming language to perform program testing on websites. This study shows the outcomes of Selenium WebDriver-based automated testing on two webpages: https://demoqa.com/text-box and https://demoqa.com/login. Testing was done to assess Selenium's dependability and performance when it comes to completing text fields and completing the login procedure. The goal of the study is to evaluate Selenium WebDriver's dependability and effectiveness in basic testing jobs while spotting any issues that may arise. Using the appropriate locator to fill in text boxes efficiently using Selenium WebDriver ensures that the operation proceeds without major hiccups. The effective completion of the login procedure on the https://demoqa.com/login page further demonstrates the dependability of Selenium WebDriver for handling increasingly complicated interactions, including login. According to the analysis's findings, Selenium WebDriver is a dependable and efficient solution for test automation that performs consistently and steadily under a range of conditions. The research's conclusions highlight how crucial it is to use automation technologies in order to ensure software quality and boost testing effectiveness. Software engineers can detect issues more rapidly and completely test the functionality of applications with Selenium WebDriver, which enhances the overall quality of software development
KOMPARASI METODE KLASIFIKASI PADA ANALISIS SENTIMEN USAHA WARALABA BERDASARKAN DATA TWITTER Mardiana, Tati; Syahreva, Hafiz; Tuslaela, Tuslaela
Jurnal Pilar Nusa Mandiri Vol 15 No 2 (2019): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septemb
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1039.919 KB) | DOI: 10.33480/pilar.v15i2.752

Abstract

Saat ini usaha waralaba di Indonesia memiliki daya tarik yang relatif tinggi. Namun, para pelaku usaha banyak juga yang mengalami kegagalan. Bagi seseorang yang ingin memulai usaha perlu mempertimbangkan sentimen masyarakat terhadap usaha waralaba. Meskipun demikian, tidak mudah untuk melakukan analisis sentimen karena banyaknya jumlah percakapan di Twitter terkait usaha waralaba dan tidak terstruktur. Tujuan penelitian ini adalah melakukan komparasi akurasi metode Neural Network, K-Nearest Neighbor, Naïve Bayes, Support Vector Machine, dan Decision Tree dalam mengekstraksi atribut pada dokumen atau teks yang berisi komentar untuk mengetahui ekspresi didalamnya dan mengklasifikasikan menjadi komentar positif dan negatif. Penelitian ini menggunakan data realtime dari tweets pada Twitter. Selanjutnya mengolah data tersebut dengan terlebih dulu membersihkannya dari noise dengan menggunakan Phyton. Hasil pengujian dengan confusion matrix diperoleh nilai akurasi Neural Network sebesar 83%, K-Nearest Neighbor sebesar 52%, Support Vector Machine sebesar 83%, dan Decision Tree sebesar 81%. Penelitian ini menunjukkan metode Support Vector Machine dan Neural Network paling baik untuk mengklasifikasikan komentar positif dan negatif terkait usaha waralaba.
DECISION SUPPORT SYSTEM SELECTION OF THE BEST ANDROID SMARTPHONE USING THE METHOD OF MOORA Ernawati, Siti; Al Hakim, Imam Taftazani; Tuslaela, Tuslaela
Jurnal Pilar Nusa Mandiri Vol 16 No 2 (2020): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v16i2.1667

Abstract

In the current conditions of each person must have a smartphone due to a lot of activities are done online. These activities can be in the form of learning, purchasing, transportation, and so forth. Smartphones offered currently have various specifications, sometimes prospective buyers feel confused to choose a smartphone as what they need. To overcome the problems in the decision of the selection of the best android smartphone that is with the decision support system using the method of Multi-Objective Optimization based on Ratio Analysis (MOORA). In this study, the data collected based on the 100 questionnaires that were distributed. The criteria used, namely random access memory (RAM), camera, price, storage capacity, battery life, and screen size. The results of the calculation obtained in this study determine each brand and type of smartphone the best android. Expected in this study can help prospective buyers who are confused in choosing the best android smartphone
Cluster Analysis of Food Social Assistance in DKI Jakarta: K-Means Approach to Identify Expenditure Patterns and Beneficiaries Suharyanti , Nining; Rusdiansyah, Rusdiansyah; Supendar, Hendra; Tuslaela, Tuslaela
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 4 (2024): Article Research Volume 8 Issue 4, October 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i4.14095

Abstract

This study aims to evaluate the effectiveness of the K-Means algorithm in grouping social assistance recipients in DKI Jakarta based on various demographic and economic factors, such as income, number of family members, and living conditions. The main objective of this study is to optimize resource allocation in social assistance programs by identifying different recipient clusters, so that aid distribution becomes more targeted. In this study, the K-Means algorithm was used with an optimal number of clusters of 3, and produced an accuracy rate of 85%, indicating that this algorithm is effective in grouping large-scale and complex data. However, there are challenges related to the sensitivity of K-Means to outliers and data imbalances that affect the results of the analysis. The results also show that areas such as Central Jakarta and South Jakarta receive more social assistance compared to other areas such as North Jakarta and East Jakarta, reflecting differences in needs in various regions. These findings emphasize the importance of selecting the right variables, such as access to health facilities and economic conditions, in producing more accurate groupings. Overall, this study provides valuable insights into efforts to optimize the distribution of social assistance in DKI Jakarta and recommends further research to address the limitations that exist in the use of the K-Means algorithm, especially in the context of data that is imbalanced or has large variations.
Analisis Pemilihan Siswa Untuk Jalur SNMPTN dengan Metode Weighted Product (WP) Dan Weighted Sum Model (WSM) Tuslaela, T; Nazarius, Jerry Kristian
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.305

Abstract

SNMPTN (State Higher Education Entrance National Selection) is one of the pathways to be able to enter State Universities, this can be proven by the number of students who are interested in being able to enter State Universities with this pathway. SMAN 2 Depok directs their students so that they are not wrong in choosing the chosen State University. But there are still many students who are still doubtful about which university they will choose according to their abilities. With this problem many students end up choosing universities that are not within their abilities. Therefore, by using a Decision Support System which makes decisions based on data held by students can help determine the best university for students. The method used is Weighted Product (WP) and Weighted Sum Model (WSM), the criteria used for this method use the results of semester 1 to 5 grades that have been achieved by students. Using these 2 methods will produce different values for each university and each method will produce different grades. With this, students of SMAN 2 Depok can consider which university they will choose.
Analisis Pemilihan Siswa Untuk Jalur SNMPTN dengan Metode Weighted Product (WP) Dan Weighted Sum Model (WSM) Tuslaela, T; Nazarius, Jerry Kristian
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.305

Abstract

SNMPTN (State Higher Education Entrance National Selection) is one of the pathways to be able to enter State Universities, this can be proven by the number of students who are interested in being able to enter State Universities with this pathway. SMAN 2 Depok directs their students so that they are not wrong in choosing the chosen State University. But there are still many students who are still doubtful about which university they will choose according to their abilities. With this problem many students end up choosing universities that are not within their abilities. Therefore, by using a Decision Support System which makes decisions based on data held by students can help determine the best university for students. The method used is Weighted Product (WP) and Weighted Sum Model (WSM), the criteria used for this method use the results of semester 1 to 5 grades that have been achieved by students. Using these 2 methods will produce different values for each university and each method will produce different grades. With this, students of SMAN 2 Depok can consider which university they will choose.
Implementation of the Topsis Method in Determining Online Shopping Options in the Marketplace Tuslaela, Tuslaela; Alawiah, Enok Tuti; Apriyani, Helina
Vertex Vol. 14 No. 2 (2025): June: Computer Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ckpd8y89

Abstract

The development of information technology changes the way customers view shopping. Currently, customers are more likely to make online shopping transactions through the marketplace. Significantly increased internet penetration, ease of transactions, seller reputation, speed of service, ease of access are factors that support customers in making shopping transactions in the marketplace. However, customers need to decide wisely before making a shopping transaction so that the products obtained are in accordance with expectations. This study uses the TOPSIS method, a method in the decision-making process to choose an ideal solution based on the criteria offered. The results of the study obtained a result of 0.85 for product reviews as an alternative preference in shopping online through the marketplace.
Analisis Sentimen pada Ulasan Aplikasi JakLingko Menggunakan Metode Naïve Bayes Ricardus Mba Dala Pati; Eka Kusuma Pratama; Tuslaela Tuslaela
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 3 No. 4 (2025): Oktober: Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v3i4.638

Abstract

JakLingko is a digital-based public transportation integration system developed to facilitate access to various transportation modes in Jakarta. Along with the increasing number of users, reviews on the JakLingko application reflect user experiences and perceptions. This study aims to analyze the sentiment of user reviews on the Google Play Store using the Naïve Bayes method. Data collection was conducted through web scraping, resulting in 3,260 reviews. The data were preprocessed, sentiment-labeled, and classified using Orange Data Mining. The research applied a quantitative experimental approach with a machine learning framework. The classification results showed that neutral sentiment dominated user reviews, followed by negative and positive sentiments. The Naïve Bayes model achieved 100% accuracy based on the confusion matrix and other evaluation metrics such as precision, recall, and F1-score. The findings highlight that Naïve Bayes can be a reliable approach for analyzing public opinion and serve as a reference for evaluating and improving digital service applications.
Efektivitas Pelatihan Power Point Untuk Meningkatkan Keterampilan Anak Didik Panti Asuhan Sakinah Setiawan, Santoso; Kadafi, Abdul Rahman; Tuslaela; Purnamasari, Indah
Jurnal Pengabdian UntukMu NegeRI Vol. 7 No. 1 (2023): Pengabdian Untuk Mu negeRI
Publisher : LPPM UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jpumri.v7i1.4754

Abstract

Power Point training is a training designed to assist participants in mastering the skills in using presentation software, namely Microsoft Power Point. In this training, participants will learn how to create interesting and effective presentations using Power Point. The material taught in Power Point training includes how to create attractive presentation slides using images, text, graphics, tables, and other media. In addition, participants will also be taught how to present information clearly and easily understood by the audience. This training will also discuss good slide layout, the use of animation and transitions, and effective presentation techniques. Participants will learn how to create engaging and memorable presentations using these techniques. By attending Power Point training, participants will be able to improve their presentation skills and create more interesting and effective presentations. Participants will get tips and tricks from the instructor in using Power Point. Keywords: Training, Power Point, Presentation
Pelatihan Penggunaan Smartphone Secara Maksimal dan Positif Kepada Komunitas Anak Putus Sekolah di Pancoran Buntu 2 Muwahid, Ihsanurrijal; Tuslaela, Tuslaela; Ino, Yoseph Adrianus; Muhammad, Faqih; Rahmadhani, Farhan
Abditeknika Jurnal Pengabdian Masyarakat Vol. 2 No. 1 (2022): April 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/abditeknika.v2i1.572

Abstract

Yang menjadi titik fokus dalam hal ini adalah pendidikan anak anak putus sekolah yang sangat buruk, baik dalam moral maupun akademis khususnya dalam penggunaan smatphone yang mereka miliki yang notabene mereka gunakan hanya untuk bermain game tanpa tahu manfaat lainnya yang begitu besar. memberi pelatihan penggunaan smartphone secara masikmal dan positif kepada anak-anak putus sekolah sehingga mereka bisa menggunakan lebih bijak untuk penggunaan smartphone. Teknik pelatihan dan pendampingan yang dilakukan adalah dengan cara teori dan praktik yang dilakukan secara bersamaan. Didalam praktiknya pun anak-anak didampingi agar memastikan anak-anak dapat menerima materi sekaligus mempraktikannya di Gadget nya masing-masing, tentunya melalui dalam jaringan (online) dikarenakan kasus Covid-19 yang semakin meningkat, pelatihan diadakan dari jarak jauh. kegiatan pelatihan ini merupakan sesuatu hal yang sangat diperlukan oleh anak-anak yang tidak mampu untuk bersekolah terutama untuk mereka yang ingin menempuh pendidikan tetapi dipaksa oleh keadaan ekonomi untuk mengurungkan niat mereka. Terbukti dari hasil kegiatan ini antusias mereka untuk belajar sangat besar apalagi tentang teknologi yang mereka gunakan sehari hari yakni Gadget/Smartphone mereka. Kami berharap setelah ini akan ada banyak mahasiswa intelektual yang tergerak hatinya untuk dapat menolong anak anak tidak mampu di berbagai daerah khususnya untuk anak-anak yang putus sekolah. Karena pendidikan merupakan hal yang penting bagi para generasi penerus bangsa. The focal point in this case is the education of dropouts who are very poor, both morally and academically, especially in the use of their smartphones which in fact they use only to play games without knowing the other benefits that are so great. provide traininguse of smartphones on the maximum and positivefor school dropouts so that they can use theirmore wisely smartphones. The training and mentoring technique carried out is by way of theory and practice which are carried out simultaneously. In practice, the children are also accompanied to ensure that they can receive the material while practicing it on gadgets their respective, of course through the network (online) due to thenumber ofcases increasingCovid-19 , training is held remotely. This training activity is something that is very much needed by children who cannot afford to go to school, especially for those who want to take education but are forced by economic conditions to discourage them. It is evident from the results of this activity that their enthusiasm for learning is very large, especially about the technology they use every day, namely their Gadgets/Smartphones . We hope that after this there will be many intellectual students who are moved to be able to help underprivileged children in various areas, especially for children who have dropped out of school. Because education is important for the next generation of the nation.
Co-Authors Abdul Rahman Kadafi Abdul Rahman Kadafi Abdul Rahman Khadafi Al Hakim, Imam Taftazani Anneke Indra Kirana Cahyani Budihartanti Cahyani Budihartanti Cahyani Budihartanti Cahyani Budihartanti D. Desmira Dannys Permadi Dinda Juliana Ditama, Ega Maulana Eka Kusuma Pratama Elok Nur Aeni Embun Fajar Wati Enok Tuti Alawiah Ernawati, Siti Faqih Muhammad Farhan Rahmadhani Helina Apriyani Hendra Supendar Ihsanurrijal Muwahid Indah Purnamasari Indah Purnamasari Indah Purnamasari INDAH PURNAMASARI Ino, Yoseph Adrianus Ishak Kholil Ishak Kholil Istikharoh, Istikharoh Kadafi, Abdul Rahman Laila Septiana Muhammad, Faqih Muwahid, Ihsanurrijal Nazarius, Jerry Kristian Nining Suharyanti Rahmadhani, Farhan Ricardus Mba Dala Pati Rusdiansyah , Rusdiansyah Rusdiansyah Rusdiansyah Santoso Setiawan Siti Ernawati - STMIK Nusa Mandiri Sri Rusiyati Sri Rusiyati Syahreva, Hafiz Tati Mardiana, Tati Yopi Handrianto, Yopi Yoseph Adrianus Ino Yumi Novita Dewi Yunan Maulana Putra