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All Journal snimed Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Proceedings of KNASTIK Semantik Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik JSI: Jurnal Sistem Informasi (E-Journal) Jurnal SOLMA Jurnal Ilmiah Matrik JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Progresif: Jurnal Ilmiah Komputer Zonasi: Jurnal Sistem Informasi Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Sistem Informasi dan Sains Teknologi MEANS (Media Informasi Analisa dan Sistem) Jurnal Teknimedia: Teknologi Informasi dan Multimedia CITIZEN: Jurnal Ilmiah Mulitidisiplin Indonesia Jurnal Abdimas Musi Charitas Jurnal Sistem Informasi JSITP JSITIK: Jurnal Sistem Informasi dan Teknologi Informasi Komputer Jurnal Ilmiah Sistem Informasi MDP Student Conference Jurnal Sistem Informasi Journal Of Informatics And Busisnes Jurnal TEFSIN ( Jurnal Teknik Informatika dan Sistem Informasi) Scientica: Jurnal Ilmiah Sains dan Teknologi Jurnal Ilmiah Computer Science Masterpiece: Journal of Islamic Studies and Social Sciences Journal of Technology and System Information Jurnal Riset Teknik Komputer Jurnal Sains Sistem Informasi Jurnal Riset Sistem Informasi Jurnal Sistem Informasi, Manajemen dan Teknologi Informasi INTECH - Informatika Dan Teknologi
Andri Wijaya
Universitas Katolik Musi Charitas
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Analisis Sentimen Film Squid Game Melalui Platform X Menggunakan Metode Lexicon Based Anggoro, Deo; Alessandro, Andreas; Aditya, Putra; Wijaya, Andri
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.11197

Abstract

This study discusses the role of movies as a medium in conveying social and emotional messages, with a focus on the Squid Game series. This research applies Lexicon-Based sentiment analysis to evaluate audience reactions to the series using 10,000 tweets from Twitter (X). The results of the analysis showed that 36.3% of the comments had a positive sentiment, 46.4% were neutral, and 17.2% were negative. The majority of neutral sentiment indicates that many viewers were interested but did not have strong opinions, while the significant positive sentiment indicates a favorable reception to the movie. These results provide insight into how audiences responded to the themes of economic inequality and social oppression in the movie. This analysis highlights the relevance of sentiment analysis in understanding audience responses to social issues, as well as how films can reflect deeper cultural and social issues.
ANALISIS SENTIMEN ULASAN PENGGUNA GAME SIMULATOR TOKO SUPERMARKET PADA GOOGLE PLAYSTORE Sugiarti, Sabar; Pamungkas, Martinus Ponco; Adtiya, Setenilaus; Wijaya, Andri
Jurnal Sains Sistem Informasi Vol 3, No 2 (2025): JSSI (Mei)
Publisher : Universitas Islam Kalimantan Muhammad Arsyad Al Banjari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/jssi.v3i2.18053

Abstract

Pengembangan game daring semakin pesat dan mencakup berbagai genre yang menarik bagi pengguna. Supermarket Shop Simulator adalah game yang sangat digemari dan tersedia di Google Play Store. Tujuan dari penelitian ini adalah untuk menerapkan metode Naïve Bayes guna menganalisis sentimen ulasan pengguna terhadap game tersebut. Metode web scraping digunakan untuk mengumpulkan data dari Google Play Store, dan langkah-langkah praproses seperti pembersihan, normalisasi, penghapusan stopword, tokenisasi, dan stemming digunakan untuk menganalisis data. Metrik untuk mengingat, akurasi, dan presisi digunakan untuk menilai model yang dikembangkan. Temuan analisis menunjukkan bahwa pendekatan Naïve Bayes memiliki akurasi klasifikasi sentimen sebesar 78%. Menurut data word cloud, istilah "iklan", "game", "bagus", "menyenangkan", dan "bermain" sering ditemukan dalam ulasan pengguna. Diharapkan bahwa penelitian ini akan membantu pengembang dalam memahami reaksi pelanggan dan meningkatkan kualitas game di masa mendatang.
Pemetaan Tata Kelola IT Menggunakan Standarisasi Cobit 4.1 (Studi Kasus UKMC Palembang) Simbolon, Defrianti; Wijaya, Andri
MEANS (Media Informasi Analisa dan Sistem) Volume 4 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (497.245 KB) | DOI: 10.54367/means.v4i1.496

Abstract

COBIT 4.1 is a standardization of framework mapping using a balanced scorecard that aims to implement information technology governance performance in UKMC. Information technology carried out in UKMC must be monitored and managed properly so as to avoid problems such as disrupted data security, data leakage, and organizational losses. Identification results obtained from COBIT 4.1 mapping obtained 21 sub domain processes that must be applied in UKMC such as PO (PO1, PO2, PO4, PO8, PO10), AI (AI, AI2, AI4, AI6, AI7), DS (DS1, DS2 , DS3, DS4 DS5, DS7, DS8, DS10, DS13), and ME (ME1, ME2). The sub domain of the process must be implemented and implemented in UKMC to support the achievement of the realization of good university governance and ensure that the information technology system that has been implemented in UKMC is aligned with the organization's goals so that the vision and mission of KSITK will run effectively and efficiently for UKMC development
IMPLEMENTASI PENDEKATAN AGILE UNTUK PENGEMBANGAN OLAP DATA PENJUALAN Wijaya, Andri; Maharani, Mutia; Meilinda
ZONAsi: Jurnal Sistem Informasi Vol. 6 No. 1 (2024): Publikasi Artikel ZONAsi Periode Januari 2024
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v6i1.17337

Abstract

Sales data in large quantities are difficult to process and report using Microsoft Excel, which takes a long time. The proposed solution is to use Online Analytical Processing, a method that allows for faster decision-making through multidimensional data manipulation. In developing Online Analytical Processing for sales data, an agile approach is applied. With Online Analytical Processing, access to and display of transactional data becomes more efficient, improving analysis quality and supporting management decisions. Research results show that the prototype accelerates sales reports with a response time of 0.0039 seconds. Online Analytical Processing also facilitates decision-making in seconds. User Acceptance Testing results show high software quality and performance (100%), with an overall evaluation of 86,67% categorized as “Very Good”. Keywords: Sales Data, Online Analytical Processing, User Acceptance Testing, Agile Development
ANALISIS SENTIMEN ULASAN APLIKASI SHAZAM DI GOOGLE PLAY STORE MENGGUNAKAN SUPPORT VECTOR MACHINE Wijaya, Andri; Meilinda; Maharani, Mutia
ZONAsi: Jurnal Sistem Informasi Vol. 6 No. 1 (2024): Publikasi Artikel ZONAsi Periode Januari 2024
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v6i1.17994

Abstract

Shazam is a popular music recognition app on the Google Play Store. Shazam allows users to discover new songs and identify songs that are playing around them. In addition, it provides song lyrics, music videos, and song recommendations. User reviews give an idea of how users perceive the application, be it positive or negative. In this study, sentiment analysis was conducted on Shazam user reviews on the Google Play Store. The researchers used a Support Vector Machine (SVM) model to classify user reviews into two sentiments, namely positive and negative. Results show that SVM has 84% accuracy in predicting the sentiment of Shazam reviews. Furthermore, it can be shown that Shazam gets five times more positive responses than negative responses. Therefore, SVM is better at predicting positive reviews than negative reviews. This research can help interested parties to understand how users perceive the app as a whole.
Pemanfaatan teknologi sudah dilakukan di banyak bidang kehidupan seperti sudah banyaknya aplikasi baik berbasis website ataupun android yang menjadi sahabat bagi semua lapisan masyarakat. Sebagian besar masyarakat hanya dapat menggunakan teknologi tersebu Maria Bellaniar; Andayani, Sri; Wijaya, Andri; Hermawan, Latius
Jurnal Abdimas Musi Charitas Vol. 5 No. 1 (2021): Jurnal Abdimas Musi Charitas Vol. 5 No. 1, Juni 2021
Publisher : Universitas katolik Musi Charitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (482.73 KB)

Abstract

The use of technology has been carried out in many areas of life as has been the number of applications based on both websites or android that are friends to all society. Most of the people can only use this technology and a small part of others not only can use but also can make this technology with the help of a programming tool. Self-programming can made with a native concept or the concept of OOP (Object Oriented Programming). Lots of programmers can program with native concepts but not many programmerswho can create programs with the OOP concept. Apart from programmers, there are many students who do not understand the concept of OOP let alone to make it in form a website. Like it or not, these students have to take part in the workshop training on OOP so that knowledge in the IT field can improve. Based on the problem That is, the lecturer service team held a service on Object Training Oriented Programming in Today's Website Development. OOP is a Object-based programming that implements class and object methods as supporters. The dedication carried out is not only a theoretical explanation but also practically so that students can immediately practice what they have explained by the tutor. The result of this activity is that students can make a websites created using OOP and their knowledge and insights about programming can increase.  
Deteksi Cyberbullying Dalam Grup Telegram Menggunakan Support Vector Machine (SVM) Filikano, Thomas; Gunawan, Andronikus; Wijaya, Andri
Jurnal Sistem Informasi, Manajemen dan Teknologi Informasi Vol. 2 No. 1 (2024): Januari
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/jsimtek.v2i1.532

Abstract

Cyberbullying di platform media sosial, khususnya di grup Telegram, merupakan permasalahan serius yang perlu ditangani. Penelitian ini bertujuan untuk mengembangkan pendekatan deteksi cyberbullying menggunakan metode Support Vector Machine (SVM). Sebanyak 1400 pesan dengan label cyberbullying dan non-cyberbullying digunakan sebagai data pelatihan untuk melatih model SVM. Pengujian dilakukan pada data uji sebanyak 600 pesan guna mengevaluasi kinerja model. Hasil penelitian menunjukkan bahwa penggunaan kernel linear pada SVM menghasilkan akurasi tertinggi sebesar 89%. Performa sistem klasifikasi pesan cyberbullying juga mencapai nilai precision, recall, dan F1-score masing-masing sebesar 89%, 87%, dan 88%. Penelitian ini diharapkan dapat memberikan kontribusi signifikan dalam menganalisis perilaku masyarakat di dunia maya terkait pesan-pesan cyberbullying di grup Telegram.
PREDIKSI PENERIMAAN MAHASISWA MENGGUNAKAN NEURAL NETWORK BERBASIS RAPIDMINER PADA DATA GRADUATE ADMISSION Ayu Elisya Natama Sianturi; Arron Mosses Jhon Hadi; Andri Wijaya
Jurnal Riset Teknik Komputer Vol. 2 No. 4 (2025): Desember : Jurnal Riset Teknik Komputer (JURTIKOM)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/q509nv83

Abstract

This study aims to predict graduate admission outcomes using a Neural Network approach implemented in RapidMiner. The dataset was processed through a series of stages, including data cleaning, normalization, and model training, to ensure optimal learning quality. Model performance was assessed using the Root Mean Square Error (RMSE) metric. The resulting RMSE score of 0.054 indicates a low level of prediction error and demonstrates that the constructed model performs reliably. These findings highlight the potential of Neural Networks as an effective analytical tool for estimating student admission likelihood with higher accuracy and supporting data-driven decision-making in the selection process.
The Role Of Law In Providing Decent Work For Citizens To Support The National Long-Term Development Plan 2025-2045 Wijaya, Andri
Citizen : Jurnal Ilmiah Multidisiplin Indonesia Vol. 5 No. 5 (2025): CITIZEN: Jurnal Ilmiah Multidisiplin Indonesia
Publisher : DAS Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53866/jimi.v5i5.1015

Abstract

This study discusses the role of law in fulfilling decent work for citizens to support the National Long-Term Development Plan (RPJPN) 2025-2045. The government always strives to provide and create decent jobs for its citizens, but unfortunately, the number of jobs is insufficient to meet the large number of prospective Indonesian workers. One reality on the ground is the widespread layoffs by companies for various reasons. As a developing country, layoffs have had various negative impacts on ongoing development. The high unemployment resulting from layoffs certainly has a systemic impact on the economy and development in Indonesia. The RPJPN 2025–2045 serves as the legal basis and primary guideline for all development actors—both government and non-government—in realizing Indonesia's grand vision by 2045, known as the "Vision of Golden Indonesia 2045." In the Vision of Golden Indonesia 2045, the phrase "sustainable" is written, which means that Indonesia has a dream of implementing continuous development without stopping with the support of various sectors. The labor sector plays an important role in realizing this sustainable development, but this sustainable development will experience obstacles if there is a lot of unemployment due to layoffs. This study employs a normative legal research method. The results of the study indicate that The Golden Indonesia 2045 Vision and the 2025–2045 RPJPN directly address the issue of layoffs through inclusive and sustainable economic development, improving human resource quality, digital and industrial transformation, and adaptive employment policies.
Klasifikasi resiko Diabetes Mengunakan Algoritma Decision Tree Stefanus Charles Selvianto, Stefanus Charles Selvianto; Novaldi, Alexander; Wijaya, Andri
Jurnal Sistem Informasi dan Teknologi Peradaban Vol. 6 No. 2 (2025): jurnal Sistem Informasi dan Teknologi Peradaban
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Peradaban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58436/jsitp.v6i2.2485

Abstract

Abstrak Peningkatan kasus Diabetes Mellitus menuntut adanya metode deteksi dini yang efektif untuk mencegah komplikasi serius pada penderita. Penelitian ini bertujuan mengklasifikasikan risiko diabetes menggunakan algoritma Decision Tree yang mampu menghasilkan aturan keputusan yang mudah diinterpretasikan oleh tenaga medis. Penelitian memanfaatkan dataset Pima Indians Diabetes dari repositori UCI Machine Learning yang diolah menggunakan perangkat lunak RapidMiner. Melalui tahapan preprocessing dan pembagian data latih serta uji dengan rasio 80:20, model dievaluasi menggunakan Confusion Matrix dan kurva ROC. Hasil pengujian menunjukkan model mencapai akurasi 70.13%, presisi 70.00%, recall 25.93%, dan nilai AUC sebesar 0.736 (fair performance). Meskipun nilai recall rendah mengindikasikan keterbatasan sensitivitas, tingginya nilai presisi menunjukkan model sangat andal dalam meminimalkan kesalahan diagnosis positif palsu. Secara spesifik, model menemukan aturan klinis bahwa kadar glukosa di atas 127.5 mg/dL merupakan indikator risiko tinggi, diikuti oleh Body Mass Index (BMI) dan usia sebagai faktor determinan sekunder pada pasien dengan gula darah normal. Penelitian ini menyimpulkan bahwa metode Decision Tree efektif digunakan sebagai sistem pendukung keputusan medis berbasis aturan (rule-based decision support) untuk identifikasi profil risiko pasien.
Co-Authors Aditya, Putra Adtiya, Setenilaus Afifah Azzahra Agnes Felicia Lubis Agustio Dwitama Agustio Dwitama Aguswan, Michael Junius Alessandro, Andreas Alexander Novaldi Alfonso Sitompul Aloisius Egi Sanjaya Andreas Alessandro Andreas Alessandro Fernando Putra Anggoro, Deo Ardi Riyadi Arif Aliyanto Arif Aliyanto Arif Aliyanto Arif Aliyanto Arif Aliyanto Arron Mosses Jhon Hadi Arron Mosses Jhon Hadi Ayu Elisya Natama Sianturi Ayu Elisya Natama Sianturi Azzahra, Afifah Azzahra, Violina Buchori Asyik Clara Nababan Crecia Crecia Crecia Crecia Crecia, Crecia Damayanti, Lily Daniawan, Benny Daniel Marcello Deo anggoro Dwitama, Agustio Effendy, Ellena Enjeli, Margareta Erwin Erwin Erwin erwin Filikano, Thomas Gunawan, Andronikus Hanna Christy Iskandar Syah Jacqueline Henny P Johan Abisay Tambunan Jonathan Supriadi Julian Masidin, Nevin Ketut Agus Wiikananda Kevin kevin Kusneti, Leni Latius Hermawan Maria Bellaniar Ismiati Martinus Ponco Pamungkas Masidin, Nevin Julian Meilinda Meilinda Meilinda Michael Junius Aguswan Michael Junius Aguswan Muhammad Basri Mutia Maharani Novaldi, Alexander P. Arindra Pratama Pamungkas, Martinus Ponco Petra Putri Ardika Pratama, Paskalis Arindra Putra, Steven Adi Ratu, Anggitta Rosana Rosana Seli Septi Putri Septi Putri Azzahra Septia Angelika Gettin daely, Septia Angelika Gettin daely Setenilaus Aditya Simbolon, Defrianti Simbolon, Defrianti Sri Andayani Sri Andayani Stefanus Agung Sagita Stefanus Charles Selvianto, Stefanus Charles Selvianto Sugiarti, Sabar Sumual, Imanuel Marcell Supriadi, Jonathan Theresia Anita Theresia Oktarina Thomas Filikano Thomas Filikano VF Anindya W Wayan Pondra Lesmana Yakub, Handoyo Yohanes Agung Apriyanto