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All Journal Jurnal Informasi dan Teknologi Keizai Journal of Comprehensive Science Innovative: Journal Of Social Science Research Informasi interaktif : jurnal informatika dan teknologi informasi

Ismail, Andy

Unknown Affiliation

Author-ID : 7561206

Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

Published : 7 Documents Claim Missing Document

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Articles

Application of Support Vector Machine and Naive Bayes Method to Analyze Mobile Banking User Behavior Through social media Twitter. Pramudito, Dendy K; Tubagus, Munir; Ismail, Andy; Anggraini, Fransisca Dyah; Pradnya Paramita, Catarina Cori
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i4.462

The purpose of this research is to use Naive Bayes and Support Vector Machines (SVM) to determine sentiment analysis on social media related mobile banking. The author used a quantitative technique in this study. Data crawling and a review of the literature were two of the methods used in the collection process. Author using SEMMA technique. The process of defining and articulating the problem leads to this research phase. RapidMiner software is used in this study at every step of the data processing process while using the SEMMA approach. 580 positive and 650 negative feelings were produced by the Naïve Bayes classification approach, whereas 720 positive and 410 negative sentiments were produced by the Support Vector Machine (SVM) classification method. The Naïve Bayes approach yields 90% accuracy with a 1% margin of error, 91% precision for positive predictions, 89% precision for negative predictions, 90% recall for positive data, and 90% recall for negative data. An accuracy value of 89% with a margin of error of 3%, positive predictive precision of 67%, negative predictive precision of 99%, positive data recall of 95%, and negative data recall of 88% are obtained by the Support Vector Machine (SVM) approach. The data used is from the Naïve Bayes approach since it has a higher accuracy value of 90% than the Support Vector Machine (SVM) method, based on the accuracy, precision, and recall values of the two classification methods. Social media users tend to have more positive perceptions regarding mobile banking since positive sentiment outweighs negative sentiment.

INOVASI PEMBELAJARAN DAN TEKNOLOGI BANTU UNTUK MAHASISWA BERKEBUTUHAN KHUSUS: Inovasi Pembelajaran Ismail, Andy; Minarni; Purwanto, Agung; Yunita, Selviana
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 8 No 1 (2023): JII Volume 8, Number 1, Januari 2023
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37159/jii.v8i1.12

Mahasiswa penyandang disabilitas merupakan mahasiswa yang memiliki hambatan atau keterbatasan secara fisik atau non-fisik (intelektual) dalam proses aktivitas pembelajaran yang dilakukan di Perguruan Tinggi, sehingga diperlukan penanganan lebih lanjut untuk mendukung kegiatan pembelajaran di dalam kelas. Berdasarkan data yang dirilis oleh katadata, hanya 3,38% penyandang disabilitas yang dapat menyelesaikan pendidikan hingga ke ke jenjang Pendidikan Tinggi. Dalam hal ini, Perguruan tinggi Universitas Darwan Ali berkomitmen untuk menciptakan kampus terpadu ramah penyandang disabilitas dengan membangun teknologi bantu bagi mahasiswa berkebutuhan khusus (MKB) demi terbentuknya Unit Layanan Disabilitas (ULD). Pengembaangan tersebut dilakukan dengan menerapkan teknologi Learning Management System (LMS) dan Perpustakaan Digital dengan pengembangan fitur text to speech (TTS) dan speech to text (STT). Penelitian ini menggunakan pendekatan agile development untuk metode rekayasa perangkat lunaknya. Berdasarkan pengembangan aplikasi berbasis website, dilakukan pengujian penerimaan (acceptance test) kepada para mahasiswa. Penerapan aplikasi DIKTE dan TTS dalam proses pembelajaran mahasiswa pada e-learning sistem Univerisitas Darwan Ali menunjukkan perubahan yang positif. Hal tersebut terbukti dengan tingkat penerimaan mahasiswa terhadap aplikasi tersebut sebesar 75,6%. Kata Kunci: speech to text; text to speech; agile development; MKB; Universitas Darwan Ali

Analisis Pengaruh Bencana Gempa Bumi dan Tsunami di Donggala dan Palu terhadap Return Saham Sektoral Suherniati, Suherniati; Ismail, Andy
Keizai Vol 1, No 2 (2020): September
Publisher : Universitas Darwan Ali

This research was for examining the impact of the earthquake and tsunami disaster in Donggala and Palu that occurred on September 28, 2018, against sectoral stock returns. The examined sectors are consumer goods sector, finance sector, property, real estate and building construction sector, and trade sector. The observation period used in this study for 100 exchange days consisted of 50 days before the disaster, 1 day during the disaster, and 49 days after the disaster. Samples were taken from 20 July 2019 to 6 December 2019. The research used several research windows, namely the day of the disaster, 2 days of the disaster, 3 days of the disaster, 6 days of the disaster, 10 days of the disaster, and 14 days of the disaster. Variable control is the Kurs and IHSG return. The research method uses multiple linear regression. The results of the study show that the facts that occurred in Donggala and Palu did not affect the sectors discussed.

Pengaruh Pengunduran Diri Jack Ma terhadap Return Saham Baba (Studi Kasus: Alibaba Group Holding Limited) Wulandari, Dwi Susanty; Ismail, Andy
Keizai Vol 1, No 1 (2020): Maret
Publisher : Universitas Darwan Ali

This study aimed to analyze whether Jack Ma’s resignation hurt BABA stock returns. This research is Jack Ma’s resignation event study from Alibaba Group Holdings Limited (10 September 2018). The 5-month research sample began on May 1, 2018, to September 28, 2018. In the 1-day and 3-day window the result showed that Jack Ma’s resignation had a significant adverse effect on BABA stock returns, but no longer affected the following day.

Reaksi Investor Juventus terhadap Event Transfer Cristiano Ronaldo dan Matthijs De Ligt Ismail, Andy; Arianto, Pipit
Keizai Vol 2, No 1 (2021): Maret
Publisher : Universitas Darwan Ali

This research was conducted because previous studies relating to player transfers and their effects on stock returns are still rarely examined, whereas in the ball industry many soccer clubs are listed. This research focuses on the transfer of Cristiano Ronaldo and Matthijs De Ligt conducted by Juventus Football Club and aims to examine the transfer event of Cristiano Ronaldo and Matthijs De Ligt conducted by Juventus Football Club influencing the reaction of Juventus investors viewed abnormal returns. The time period used at the event starts from July to September 2018 at the transfer event of Cristiano Ronaldo and starts from July to September 2019 at the transfer event of Matthijs De Ligt. The abnormal return calculation method used in this study is the CAPM (Capital Asset Pricing Model). From the results of this study, it was found that the transfer event of Cristiano Ronaldo and Matthijs De Ligt conducted by Juventus Football Club did not affect investor reaction.

Efektivitas Robot AI Adaptif dalam Mendukung Pembelajaran Inklusif bagi Mahasiswa dengan Learning Disabilities di Universitas Darwan Ali Ismail, Andy; Andriyati, Yuli; Minarni, Minarni; Febriani, Nova; Kristin Rahel, Herlina
Journal of Comprehensive Science Vol. 3 No. 12 (2024): Journal of Comprehensive Science (JCS)
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jcs.v3i12.2912

This study developed an adaptive AI robot as a learning aid for students with learning disabilities (LD) at Universitas Darwan Ali. The robot is equipped with text-to-speech, speech-to-text, voice and facial recognition features, and adaptive algorithms that adjust content delivery to match students' literacy levels. A research and development approach with agile methodology was employed, encompassing needs identification, design, testing, and implementation phases. Results indicate a 30% increase in academic comprehension and an 82% satisfaction rate among students. Additionally, the AI robot serves as a "learning companion" providing social-emotional support, which enhances learning motivation for LD students. Thus, this adaptive AI robot effectively supports inclusive education at Universitas Darwan Ali.

Analysis of The Influence of Digitalization Implementation in Marketing Programs and Neuro-Marketing Adaption on Brand Perception in The Tourism Industries Alimin, Erina; Ismail, Andy; Herbenita, Herzalina; Fadillah, Tri Dessy; Uhai, Sabalius
Innovative: Journal Of Social Science Research Vol. 4 No. 4 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i4.14826

Tujuan dari penelitian ini adalah untuk menganalisis pengaruh dari adaptasi neuromarketing dan pemasaran digital terhadap persepsi atas merek khususnya pada industri perhotelan di Indonesia. Penelitian ini menggunakan metodologi kualitatif dengan pendekatan eksploratif-deskriptif. Hasil dari penelitian menunjukkan bahwa adaptasi neuromarketing dan penerapan digitalisasi dalam pemasaran efektif dalam meningkatkan citra merek dan pengalaman pelanggan di sektor perhotelan. Dengan menggunakan neuromarketing dan digital marketing, manajemen hotel dapat mengidentifikasi dengan cepat reaksi konsumen terhadap materi kampanye dan promosi yang disampaikan oleh manajemen hotel, pemasaran digital juga memungkinkan seorang prospektif pelanggan memiliki pengalaman yang lebih mendalam dan berkesan terhadap pelayanan yang diberikan hotel meskipun belum pernah menggunakan jasa dari hotel.

Co-Authors Agung Purwanto Alimin, Erina Andriyati, Yuli Anggraini, Fransisca Dyah Arianto, Pipit Dendy K. Pramudito Fadillah, Tri Dessy Febriani, Nova Herbenita, Herzalina Kristin Rahel, Herlina Minarni Minarni Minarni Pradnya Paramita, Catarina Cori Sabalius Uhai Suherniati, Suherniati Tubagus, Munir Wulandari, Dwi Susanty Yunita, Selviana

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