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All Journal Journal of Intelligent Systems Jurnal Pilar Nusa Mandiri Information System for Educators and Professionals : Journal of Information System Information Management For Educators And Professionals (IMBI) Jurnal Teknik Informatika STMIK Antar Bangsa JITK (Jurnal Ilmu Pengetahuan dan Komputer) Techno Nusa Mandiri : Journal of Computing and Information Technology Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Riset Informatika Budimas : Jurnal Pengabdian Masyarakat Jurnal Infortech International Journal Of Science, Technology & Management (IJSTM) Jurnal Sistem Informasi Jurnal AbdiMas Nusa Mandiri Algoritme Jurnal Mahasiswa Teknik Informatika INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Jurnal Pengabdian Kreatif Cemerlang Indonesia AMMA : Jurnal Pengabdian Masyarakat Jurnal Abdimastek (Pengabdian Masyarakat Berbasis Teknologi) Prawara Jurnal Pengabdian Masyarakat
Tyas Setiyorini
Universitas Nusa Mandiri
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Nursing Physics Public Health Social Sciences Transportation Other

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IMPLEMENTATION OF GAIN RATIO AND K-NEAREST NEIGHBOR FOR CLASSIFICATION OF STUDENT PERFORMANCE Setiyorini, Tyas; Asmono, Rizky Tri
Jurnal Pilar Nusa Mandiri Vol 16 No 1 (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 | Full PDF (895.904 KB) | DOI: 10.33480/pilar.v16i1.813

Abstract

Predicting student performance is very useful in analyzing weak students and providing support to students who face difficulties. However, the work done by educators has not been effective enough in identifying factors that affect student performance. The main predictor factor is an informative student academic score, but that alone is not good enough in predicting student performance. Educators utilize Educational Data Mining (EDM) to predict student performance. KK-Nearest Neighbor is often used in classifying student performance because of its simplicity, but the K-Nearest Neighbor has a weakness in terms of the high dimensional features. To overcome these weaknesses, a Gain Ratio is used to reduce the high dimension of features. The experiment has been carried out 10 times with the value of k is 1 to 10 using the student performance dataset. The results of these experiments are obtained an average accuracy of 74.068 with the K-Nearest Neighbor and obtained an average accuracy of 75.105 with the Gain Ratio and K-Nearest Neighbor. The experimental results show that Gain Ratio is able to reduce the high dimensions of features that are a weakness of K-Nearest Neighbor, so the implementation of Gain Ratio and K-Nearest Neighbor can increase the accuracy of the classification of student performance compared to using the K-Nearest Neighbor alone.
COMPARISON OF LINEAR REGRESSIONS AND NEURAL NETWORKS FOR FORECASTING ELECTRICITY CONSUMPTION Setiyorini, Tyas; Frieyadie, Frieyadie
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.v16i2.1459

Abstract

Electricity has a major role in humans that is very necessary for daily life. Forecasting of electricity consumption can guide the government's strategy for the use and development of energy in the future. But the complex and non-linear electricity consumption dataset is a challenge. Traditional time series models in such as linear regression are unable to solve nonlinear and complex data-related problems. While neural networks can overcome the problems of nonlinear and complex data relationships. This was proven in the experiments in this study. Experiments carried out with linear regressions and neural networks on the electricity consumption dataset A and the electricity consumption dataset B. Then the RMSE results are compared on the linear regressions and neural networks of the two datasets. On the electricity consumption dataset, A obtained by RMSE of 0.032 used the linear regression, and RMSE of 0.015 used the neural network. On the electricity consumption, dataset B obtained by RMSE of 0.488 used the linear regression, and RMSE of 0.466 used the neural network. The use of neural networks shows a smaller RMSE value compared to the use of linear regressions. This shows that neural networks can overcome nonlinear problems in the electricity consumption dataset A and the electricity consumption dataset B. So that the neural networks are afforded to improve performance better than linear regressions. This study to prove that there is a nonlinear relationship in the electricity consumption dataset used in this study, and compare which performance is better between using linear regression and neural networks.
Pelatihan Teknologi AI Menggunakan Bing Microsoft Dan Vidnoz AI Bagi Karang Taruna Kelurahan Ragunan Anggraeni, Sita; Rahmatullah, Syaifur; Setiyorini, Tyas; Rifai, Achmad
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 4 : Mei (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

In the Era of Society 5.0, young people have different styles of interacting, socialising, and/or absorbing knowledge. Coupled with the fact that most of today's students are from the digital generation who are accustomed to speed and convenience in other aspects of life, students expect the same speed and convenience when it comes to learning. Bing AI is an integral part of the Bing search engine platform developed by Microsoft. Built with Artificial Intelligence (AI) technology, Bing AI aims to improve users' online search experience by providing more relevant and personalised results. As video content continues to dominate the digital world, creating engaging and high-quality videos is a top priority for the younger generation in content creation. Producing videos quickly while entertaining audiences is important to stay ahead of the curve. Vidnoz is a versatile and free AI Video Generator for easy video creation, this is done through the use of Artificial Intelligence and intelligent automation. Karang Taruna Kelurahan Ragunan has many positive activities and actively spreads content on social media such as Instagram but does not yet have knowledge in the use of AI technology using Bing AI from Microsoft and the use of Vidnoz in each content. The Karang Taruna Kelurahan Ragunan administrators need insight in the form of training in the application of AI technology in the distribution of content to be shared on social media and need technical steps in the application of the use of AI technology using Bing AI from Microsoft and the use of Vidnoz. With the training in this community service, it is hoped that Karang Taruna Kelurahan Ragunan can understand the knowledge of the use of AI technology using Bing AI from Microsoft and the use of Vidnoz in every content to be shared on social media owned by Karang Taruna Kelurahan Ragunan and practice and be creative in technical steps in the application of the use of AI technology using Bing AI from Microsoft and the use of Vidnoz in every content to be shared on social media owned by Karang Taruna Kelurahan Ragunan.
Pelatihan Memaksimalkan Potensi ChatGPT: Teknik PROMPT Engineering Dalam Mendukung Kegiatan Organisasi Bagi Pemuda JPRMI Jakarta Sita Anggraeni; Rahmatullah, Syaifur; Rifai, Achmad; Setiyorini, Tyas
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 9 : Oktober (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

In The rapid and significant development of artificial intelligence (AI) has formed a new habit, people are now using AI to facilitate daily activities. Concerns arise because the significant development of AI is not accompanied by adequate knowledge about the use of AI. To overcome the problems that arise, it is important for people to understand what AI does. The rapid development of technology and information, the use of technology-based tools such as ChatGPT (Chat Generative Pre-trained Transformer) can be a potential in supporting activities in an Organisation. One of the prominent AI technologies is ChatGPT, a language model capable of understanding and generating text in a very human-like manner. The rapid development of technology and information, the utilisation of technology-based tools such as ChatGPT (Chat Generative Pre-trained Transformer). To maximise the potential of ChatGPT, an in-depth understanding of prompt engineering techniques is required. Prompt Engineering includes the art and science of designing inputs or ‘prompts’ given to AI models such as ChatGPT to produce desired outputs. With this technique, users can direct the model to provide answers that are more relevant, informative, and suited to specific needs. Jaringan Pemuda & Remaja Masjid Indonesia (JPRMI) has many positive activities in the organisation but does not yet have knowledge in the use of maximising the potential of ChatGPT, an in-depth understanding of prompt engineering techniques is needed. From this community service, the management of the Indonesian Mosque Youth & Teen Network (JPRMI), can understand the knowledge in using maximising the potential of ChatGPT and an in-depth understanding of prompt engineering techniques, as well as practical steps in making prompt engineering techniques in maximising the potential of ChatGPT in making detailed organisational schedules and planning activities from preparation to making reports in organisational activities.
Optimalisasi Pengelolaan Tagihan Melalui Sistem Notifikasi WhatsApp Berbasis Framework Laravel dan Metode Rapid Application Development Rianto, Harsih; Setiyorini, Tyas
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 6 (2024): Desember 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i6.8391

Abstract

Abstrak - Pengelolaan tagihan atau invoice yang tidak efisien dapat menimbulkan dampak serius bagi perusahaan, seperti keterlambatan penerimaan pembayaran, konflik dengan pelanggan, dan kerugian finansial. Untuk mengatasi masalah ini, sistem pengelolaan tagihan berbasis web yang dilengkapi dengan notifikasi otomatis menjadi solusi yang relevan. Salah satu media komunikasi yang efektif untuk notifikasi tagihan adalah WhatsApp, karena keunggulannya dalam aksesibilitas, kecepatan, dan kemampuan untuk menyampaikan informasi secara interaktif. Dalam penelitian ini, pengembangan sistem dilakukan menggunakan framework Laravel 10, yang menawarkan fleksibilitas, dokumentasi lengkap, dan fitur bawaan untuk mempermudah proses pengembangan. Selain itu, metode Rapid Application Development (RAD) digunakan untuk mempercepat proses pembangunan sistem dengan pendekatan iteratif dan umpan balik pengguna yang berkelanjutan. Sistem ini dirancang untuk meningkatkan efisiensi pengelolaan tagihan, memastikan pelanggan menerima informasi dengan cepat, dan meminimalkan kesalahan dalam pencatatan. Hasil pengembangan diharapkan dapat memberikan solusi inovatif bagi perusahaan dalam mengelola tagihan secara lebih efektif, meningkatkan arus kas, dan membangun hubungan yang lebih baik dengan pelanggan. Studi ini juga mengisi gap penelitian terkait pengelolaan tagihan otomatis berbasis WhatsApp dengan menggunakan Laravel dan metode RAD.Kata kunci: Pengelolaan Tagihan, Notifikasi Tagihan, WhatsApp, Laravel, Rapid Application Development (RAD) Abstract - Inefficient management of invoices can cause significant issues for companies, including delayed payments, customer conflicts, and financial losses. To address these challenges, a web-based invoice management system equipped with automated notifications offers a relevant solution. WhatsApp emerges as an effective medium for invoice notifications due to its accessibility, speed, and ability to deliver interactive information. This study develops a system using the Laravel 10 framework, which provides flexibility, comprehensive documentation, and built-in features that simplify the development process. Additionally, the Rapid Application Development (RAD) method is applied to accelerate system creation through iterative approaches and continuous user feedback. The system is designed to enhance invoice management efficiency, ensure timely delivery of information to customers, and minimize recording errors. The development outcome aims to provide innovative solutions for companies to manage invoices more effectively, improve cash flow, and foster better customer relationships. This study also addresses a research gap in developing automated invoice management systems via WhatsApp using Laravel and the RAD methodology.Keywords: Invoice Management, Invoice Notification, WhatsApp, Laravel, Rapid Application Development (RAD)
PELATIHAN PEMBUATAN KONTEN DIGITAL KREATIF MENGGUNAKAN CANVA BAGI JPRMI JAKARTA (JARINGAN PEMUDA DAN REMAJA MESJID INDONESIA) Anggraeni, Sita; Rahmatullah, Syaifur; Rifai, Achmad; Setiyorini, Tyas
Jurnal Pengabdian Masyarakat Berbasis Teknologi Vol 6 No 01 (2025): Volume 6, Nomor 1, Mei 2025
Publisher : ISB Atma Luhur

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Abstract

Di era digital ini, pasti banyak cara untuk mempromosikan suatu hal seperti kegiatan, acara dari sebuah seminar, hingga event sebuah kegiatan. Ada berbagai cara yang dapat dilakukan dalam publikasi atau promosi tentang kegiatan organisasi, seperti menggunakan media digital (melalui Instagram, Facebook, website, dan email). Di era digital seperti sekarang para pebisnis atau perusahaan akan mengirimkan promosi ini menggunakan e-flyer. E-flyer merupakan salah satu tools promosi yang cukup efektif untuk mempromosikan produk atau event bisnis perusahaan kepada customer. Jaringan Pemuda & Remaja Masjid Indonesia (JPRMI) memiliki banyak kegiatan namun belum memiliki ketrampilan dalam menyebarkan informasi terkait akan banyaknya kegiatan tersebut serta belum ada kemampuan bagaimana promosi secara digital bisa membantu dalam operasional event event yang diselengggarakan. Para pengurus Jaringan Pemuda & Remaja Masjid Indonesia (JPRMI) membutuhkan pelatihan guna mengasah kemampuan dalam membuat flyer yang memuat adanya kejelasan informasi yang meliputi nama kegiatan, tema, pembicara, tanggal dan waktu, logo (identitas), tempat, dan contact person. Canva merupakan platform desain grafis yang memudahkan pengguna untuk membuat desain media sosial, presentasi, poster, dan konten visual lainnya. Diharapkan dengan adanya pelatihan ini setiap kegiatan yang diselenggarakan oleh Jaringan Pemuda & Remaja Masjid Indonesia (JPRMI) dapat dibuat media digital berupa Flyer sebagai media informasi agar berjalan baik dan membantu dalam operasional kegiatan hingga proses akhirnya bagi organisasi.
Pelatihan Pengunaan Aplikasi Kependudukan Berbasis Website Bagi Pengurus dan Kader Dasawisma PKK Kelurahan Ragunan Achmad Rifai; Tyas Setiyorini
PRAWARA Jurnal ABDIMAS Vol 2 No 03 (2023): PRAWARA JURNAL ABDIMAS
Publisher : CV. Manha Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63297/abdimas.v2i03.63

Abstract

Pengurus dan kader Dasawisma PKK di Kelurahan Ragunan Jakarta Selatan, merupakan garda terdepan pemerintah daerah yang tugasnya antara lain mengelola data administrasi kependudukan. Permasalahan yang dihadapi organisasi ini terkait dengan pengelolaan manajemen kependudukan yang yang ditulis secara manual melalui buku daftar penduduk desa dan juga kesadaran masyarakat yang relatif rendah terhadap tertib administrasi yang tidak melapor ketika terjadi perubahan data. Tujuan dari pengabdian kepada masyarakat dapat memberikan solusi atas permasalahan yang terjadi dengan memanfaatkan teknologi informasi menggunakan aplikasi CMS (Content Management System) dengan cara pelatihan. CMS adalah aplikasi yang menyediakan informasi yang cepat untuk menyajikan hasil demografi berupa data, teks dan grafik. Keberhasilan pengabdian kepada masyarakat ini terletak pada perubahan metode kerja dari pencatatan kependudukan yang ditulis menjadi aplikasi pengelolaan administrasi kependudukan berbasis website secara online. Hal ini dapat memudahkan proses pembuatan, pemutakhiran, distribusi, pengambilan dan analisis data serta meningkatkan fleksibilitas untuk ditransformasikan ke dalam bentuk laporan administrasi kependudukan.
Pelatihan Digital Security Dalam Keamanan Berorganisasi Bagi Jaringan Pemuda dan Remaja Masjid Indonesia Jakarta Achmad Rifai; Tyas Setiyorini; Syaifur Rahmatullah; Sita Anggraeni
PRAWARA Jurnal ABDIMAS Vol 3 No 1 (2024): PRAWARA JURNAL ABDIMAS
Publisher : CV. Manha Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63297/abdimas.v3i1.89

Abstract

Keamanan data pada surat elektronik atau email menjadi elemen krusial dalam konteks organisasi pada era digital saat ini. Meskipun email memainkan peran sentral dalam komunikasi organisasi, namun juga menjadi celah potensial bagi tindakan kejahatan siber yang tidak bertanggung jawab. Jaringan Pemuda dan Remaja Masjid Indonesia (JPRMI) Jakarta, yang aktif dalam berbagai kegiatan dan mengelola beragam informasi organisasi, mengakui pentingnya aspek keamanan digital, khususnya dalam konteks email. Dalam upaya pengabdian masyarakat, metode pelatihan dan diskusi digunakan untuk mengeksplorasi tantangan keamanan email yang dihadapi oleh organisasi, dengan fokus pada ancaman-ancaman seperti spamming, scamming, malware, dan spoofing. Keberadaan ancaman-ancaman tersebut menekankan perlunya pemahaman yang mendalam dan penerapan tindakan preventif guna melindungi data organisasi dari serangan siber. Tujuan utama pengabdian kepada masyarakat ini adalah memberikan panduan praktis kepada JPRMI, memungkinkan mereka untuk mengatasi tantangan keamanan email dengan pemahaman yang lebih mendalam terhadap risiko yang ada. Selain itu, pengabdian ini bertujuan meningkatkan kemampuan JPRMI dalam menerapkan langkah-langkah keamanan yang tepat dan melindungi data organisasi melalui email di era digital yang semakin kompleks. Dengan demikian, hasil dari pengabdian ini diharapkan dapat memberikan kontribusi signifikan dalam memperkuat lapisan keamanan digital organisasi, menciptakan lingkungan yang lebih aman dan terpercaya di dunia maya.
Analisis Sentimen Ulasan Mobile Legend Menggunakan Algoritma Naive Bayes, SVM, Logistic Regression Alengka, Son Gohan; Putra, Jordy Lasmana; Setiyorini, Tyas
Jurnal Algoritme Vol 5 No 3 (2025): Oktober 2025 || Algoritme Jurnal Mahasiswa Teknik Informatika
Publisher : Program Studi Teknik Informatika Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/algoritme.v5i3.12915

Abstract

The rapid growth of the mobile gaming industry in Indonesia, particularly Mobile Legends: Bang-Bang, has generated millions of user reviews on the Google Play Store, making manual analysis inefficient and prone to bias. This study compares three algorithms—Naive Bayes, Support Vector Machine (SVM), and Logistic Regression—for sentiment analysis of 52,651 reviews. Preprocessing includes text cleaning, stopword removal (Indonesian/English), Sastrawi stemming, and TF-IDF representation (min_df=3, max_df=0.9, n-gram 1–2). Binary labeling follows a rating-based approach: 1–2 stars (negative), 4–5 stars (positive), while 3-star reviews are excluded due to ambiguity. Evaluation using accuracy, precision, recall, F1-score, confusion matrix, and Cohen’s Kappa shows SVM and Logistic Regression achieving ≈90–91%, with SVM chosen as the default model for its balanced metrics and margin stability. The model can be deployed as an API service (Flask/FastAPI) for near real-time review monitoring (e.g., lag, AFK, matchmaking), enabling alert thresholds and improvement prioritization. Findings remain limited to Mobile Legends reviews on Google Play, requiring further validation across other applications.
Co-Authors Achmad Rifai ACHMAD RIFAI Aditiya Yoga Pratama Albert Riyandi Alengka, Son Gohan Angga Subrata Anggie Andriansyah Dedi Saputra Fitra Septia Nugraha Frieyadie Frieyadie Frieyadie Harsih Rianto Ibnu Alfarobi Ibnu Rusdi Istiyanto, Ilham Jordy Lasmana Putra Kudiantoro Widianto Kudiantoro Widianto, Kudiantoro Maryanah Safitri Maryanah Safitri Muhamad Ryansyah Nofarenzi, Yosari Nur Mutia Eka Pusparani Nurajijah Rismaniah Rismaniah Rizky Tri Asmono Rizky Tri Asmono Rizky Tri Asmono Rizky Tri Asmono Rizky Tri Asmono Romi Satria Wahono Sita Anggraeni Sita Anggraeni Sita Anggraeni, Sita Siti Nurdiani Solehudin, Rizki Sri Syaifur Rahmatullah Syaifur Rahmatullah, Syaifur