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All Journal Jurnal Teknik Informatika (JUTIF) Jurnal Teknimedia: Teknologi Informasi dan Multimedia Bulletin of Network Engineer and Informatics (BUFNETS)
Ma'we, Hannatul
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Computer Science & IT Control & Systems Engineering Engineering

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LITERATUR SURVEY : PEMANFAATAN TEKNOLOGI UNTUK PENGELOLAAN SAMPAH Ma'we, Hannatul; Fitriani Fitriani; Heri Wijayanto
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 5 No. 1 (2024): Juni 2024
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v5i1.184

Abstract

The majority of countries are currently struggling with unsustainable levels of waste production and lack of recycling, especially household waste, and this field is in dire need of new solutions. In general, the waste management sector has difficulties with a lack of consumer trust, fraud, manipulation, significant manual processes, and low levels of information and control. Waste is the result of waste from various activities carried out daily by humans who do not have clothing, as a result of which waste can cause losses because it will cause floods, increase climate warming, cause bad odors, disturb beauty to worsen environmental sanitation. The purpose of this study is to provide an overview of various studies on Waste Management by utilizing technology, namely how methods are applied in regions in Indonesia and other countries in managing waste both waste from households, hazardous biomass, and industry. The study also reviewed 12 scientific papers that have been published in various international journals. The most frequently used management method is utilizing technology based on websites, android, and blockchain with waterfall and incremental software development processes. Keywords: Enter keywords or phrases in alphabetical order, separated by commas. The number of keywords must be between 3-5 words.
PERFORMANCE COMPARISON OF NAIVE BAYES AND BIDIRECTIONAL LSTM ALGORITHMS IN BSI MOBILE REVIEW SENTIMENT ANALYSIS Ma'we, Hannatul; Husodo, Ario Yudo; Irmawati, Budi
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 1 (2025): JUTIF Volume 6, Number 1, February 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.6.4178

Abstract

Currently, almost all banks have used mobile banking in conducting banking transactions, one of which is Bank Syariah Indonesia (BSI). BSI mobile is still classified as a new mobile banking application compared to other mobile banking, this certainly still has a low rating and really needs feedback from users which can be seen through reviews on the Google Play Store application. Input in the form of criticism and suggestions from BSI mobile users can be used by BSI mobile as a suggestion for careful supervision and evaluation material in improving its services. This study aims to find the best algorithm to analyze review sentiment on the Google Play Store for the BSI mobile application and provide an overview of the response of application users to application developers based on the results of review data processing. The data mining methodology used in this study is CRISP-DM, using a dataset collected for 6 years (2018-2023) which is annotated into positive and negative labels manually, then modeled using 2 algorithms, namely Naïve Bayes (NB) and Bidirectional LSTM (BiLSTM). The contribution of this study is to test, evaluate and compare the two algorithms (NB and BiLSTM) using the K-Fold Cross Validation (NB) testing model and over-sampling techniques to the minority class (negative) then provide recommendations for the best algorithm. The conclusion of the study is that the BiLSTM algorithm is superior to NB with an accuracy of 94.90 % while the NB algorithm is 94%. In addition, the over-sampling technique is more optimal in increasing the accuracy of the algorithm's performance compared to without over-sampling.
Initial Development of the KITABOOKA Platform to Support the Madrasah English Mentoring Program Based on Cultural Literacy and Soft Skills jupri hadi, marham; Fitriani; ma'we, hannatul; hully; hakim, marwan
Bulletin of Network Engineer and Informatics Vol. 3 No. 2 (2025): BUFNETS (Bulletin of Network Engineer and Informatics) October 2025
Publisher : GWEX NET PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59688/2bgn1b58

Abstract

The digital era demands innovation in English language learning that not only focuses on linguistic competence but also integrates cultural literacy and soft skills. Web-based collaborative learning platforms become a solution to create an authentic and interactive learning environment. This study aims to develop the initial KITABOOKA platform as a collaborative English learning medium that integrates cultural literacy and soft skills through a web-based mentoring program using the Research and Development (R&D) ADDIE model. The research uses an R&D approach with the ADDIE model. However, in this study, we only use the first three stages (Analysis, Design, Development). Data were collected through surveys, interviews, and observations from 25 respondents consisting of students, university students, lecturers, and English teachers. Based on the analysis of user needs, this platform needs to be equipped with key features such as a learning module, English language learning activities, cultural literacy features, soft skills enhancement features, digital mentoring system features, and other general supporting features. Additionally, validation by seven experts showed that the initial design of the KITABOOKA platform received an average score of 4.55, categorized as very valid, covering aspects of content, appearance, technical, pedagogical, and usability. The analysis of the needs from users and experts indicates that the KITABOOKA platform already meets the feasibility standards as a collaborative digital learning platform and is ready to proceed to the limited testing phase in the next study.
Co-Authors Ario Yudo Husodo, Ario Yudo Budi Irmawati Fitriani Fitriani Fitriani Hakim, Marwan Heri Wijayanto Hully Jupri Hadi, Marham