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All Journal Jurnal Sains dan Teknologi Jurnas Nasional Teknologi dan Sistem Informasi CogITo Smart Journal Indonesian Journal of Artificial Intelligence and Data Mining JITK (Jurnal Ilmu Pengetahuan dan Komputer) JMM (Jurnal Masyarakat Mandiri) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan ILKOM Jurnal Ilmiah DoubleClick : Journal of Computer and Information Technology MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JURTEKSI Jurnal Pengabdian Kepada Masyarakat MEMBANGUN NEGERI Seminar Nasional Teknologi Informasi Komunikasi dan Administrasi [SEMINASTIKA] Scientific Journal of Informatics JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) IJIIS: International Journal of Informatics and Information Systems JPMB: Jurnal Pemberdayaan Masyarakat Berkarakter Journal of Computer Networks, Architecture and High Performance Computing Teknika Society : Jurnal Pengabdian dan Pemberdayaan Masyarakat TIERS Information Technology Journal Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer (JURITEK) Jurnal Pengabdian Mitra Masyarakat (JPMM) Jurnal Krisnadana Prosiding Seminar Nasional Pemberdayaan Masyarakat (SENDAMAS)
Pungkas Subarkah
Universitas Amikom Purwokerto
Agriculture, Biological Sciences & Forestry Humanities 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 Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Analisis Sentimen Game Genshin Impact pada Play Store Menggunakan Naïve Bayes Clasifier Primandani Arsi; Pungkas Subarkah; Bagus Adhi Kusuma
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol 3 No 1 (2023): Maret, Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Publisher : Sekolah Tinggi Ilmu Ekonomi Trianandra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v3i1.1962

Abstract

Online games are an entertainment medium that cannot be separated from some groups of people, especially during the co-19 pandemic. The existence of a policy of violence reduces the interaction of people in the world, including in Indonesia, resulting in an increase in online activity, especially playing games. Game is an interesting online gaming platform, where players can still interact socially boldly. Genshin Impact is a mobile game that provides other platforms such as PC, PlayStation and Nintendo Switch. Although some people like this game, others are not satisfied with the game play. Sentiment analysis is also very useful when game developers want to know what users think about the game experience. This research aims to build a model of the classification of reviews on the Genshin Impact game available on the Google Play platform, so that the resulting model can provide recommendations for developers for improvement. The results obtained are reviews on the Google Play Store tend to be positive with an accuracy score of 87%, precision of 67%, memory of 98%, and f1 score of 67%. Evaluation is done by comparing the model that has been obtained in this study with the previous model with the same algorithm.
Sentiment Analysis Motorku X Using Applications Naive Bayes Classifier Method Akhmad Mustolih; Primandani Arsi; Pungkas Subarkah
Indonesian Journal of Artificial Intelligence and Data Mining Vol 6, No 2 (2023): September 2023
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v6i2.24864

Abstract

The rapid development of technology has brought convenience to humans in their daily lives. The continuously evolving technology generates large amounts of data. Data can provide valuable information if processed effectively. The Motorku X application is one of the innovations created by Astra Motor to facilitate consumers or potential customers in servicing and purchasing motorcycles. The Motorku X application generates review data every day. These review data can be utilized for future application development. To make the most of the reviews, sentiment analysis is one of the techniques used to process the review data. Sentiment analysis is a method to measure consumer sentiments in terms of positive or negative reviews. The algorithm used in this research is the Naïve Bayes classifier. One of the advantages of Naïve Bayes is its ability to work quickly and efficiently in terms of computational time. The research consists of several stages: data collection, data labeling, pre-processing, data splitting, tf-idf weighting, implementation of Naïve Bayes classifier, and evaluation of the results. The data comprises 1000 reviews divided into two classes: positive class (number) and negative class (number). The research was conducted with three scenarios of training and testing data sharing: 90%:10%, 80%:20%, and 70%:30%. The best results were achieved with the 90%:10% ratio, with an accuracy of 76%, precision of 76%, and recall of 97%.
Rectified Linear Units and Adaptive Moment Estimation Optimizer on ANN with Saved Model Prediction to Improve The Stock Price Prediction Framework Performance Sekhudin Sekhudin; Yuli Purwati; Fandy Setyo Utomo; Mohd Sanusi Azmi; Pungkas Subarkah
ILKOM Jurnal Ilmiah Vol 15, No 2 (2023)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v15i2.1586.271-282

Abstract

A stock is a high-risk, high-return investment product. Prediction is one way to minimize risk by estimating future prices based on past data. There are limitations to solving the stock prediction problem from previous research: limited stock data, practical aspects of application, and less than optimal stock price prediction results. The main objective of this study is to improve the prediction performance by formulating and developing the stock price prediction framework. Furthermore, the research provides a stock price prediction framework that can produce better prediction results than the previous study with fast computation time. The proposed framework deals with data generation, pre-processing and model prediction. In further, the proposed framework includes two prediction methods for predicting stock closing prices: stored model prediction and current model prediction. This study uses an artificial neural network with Rectified Linear Units as an activation function and Adam Optimizer to predict stock prices. The model we have built for each forecasting method shows a better MAPE value than the model in previous studies. Previous research showed that the lowest MAPE was 1.38% for TLKM shares and 0.81% for BBRI. Our proposed framework based on the stored model prediction method shows a MAPE value of 0.67% for TLKM shares and 0.42% for BBRI. While the current model prediction method shows a MAPE value of 0.69% for TLKM shares and 0.89% for BBRI. Furthermore, the stored model prediction method takes 1.0 seconds to process a single prediction request, while the current model prediction takes 220 seconds.
Pelatihan Dan Pendampingan Mendesain Penulisan Artikel Ilmiah Berbasis Teknologi Informasi Menggunakan Trello Bagi Guru Pungkas Subarkah; Primandani Arsi; Septi Oktaviani Nur Hidayah; Arbangi Puput Sabaniyah
Society : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol. 4 No. 1 (2023): Vol.4 No.1, October 2023
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/society.v4i1.416

Abstract

Dalam menciptakan Sumber Daya Manusia (SDM) yang unggul di lingkungan salah satunya dengan meningkatkan kemampuan dan keahlian guna mewujudkan guru yang berkualitas di Indonesia. Salah satunya dengan memberikan pelatihan menulis.  Tujuan pelatihan dan pendampingan ini ialah untuk meningkatkan kompetensi para guru SMA Negeri Wangon dalam mendesain artikel ilmiah menggunakan Trello. Metode dalam pelatihan ini meliputi persiapan kegiatan, pelaksanaan kegiatan dan evaluasi kegiatan. Pelaksanaan dilakukan pada hari Rabu, 05 Juli 2023, dengan jumlah peserta sejumlah 30 guru. Hasil pelatihan ini yaitu pengetahuan dan pendampingan penggunaan Trello semakin meningkat dibuktikan dengan evaluasi peserta pelatihan 92% peserta pelatihan merasakan peningkatan kemampuan tentang mendesain artikel ilmiah agar lebih terstruktur dalam menyusun artikel ilmiah  serta dapat digunakan sebagai penunjang bapak dan ibu guru serta menjadi portofolio seorang guru.
PELATIHAN PEMANFAATAN TEKNOLOGI INFORMASI NEARPOD SEBAGAI INOVASI PEMBELAJARAN DI ERA 5.0 Irma Darmayanti; Dias Ayu Budi Utami; Pungkas Subarkah; Harun Alrasyid; Nikmah Trinarsih
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 7, No 4 (2023): December
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v7i4.19219

Abstract

ABSTRAKPemanfaatan teknologi di era pandemi corona kemarin, mengubah sistem pembelajaran di Indonesia menjadi online/daring. Pemanfaatan gadget menjadi peran utama dalam proses pembelajaran melalui kelas online. Hal ini membuat siswa menjadi terbiasa belajar mandiri menggunakan teknologi yang mempunyai basic visual audio. Ketika pandemi usai, kegiatan belajar menjadi tatap muka membuat siswa menjadi kurang bersemangat karena harus beradaptasi kembali. Seperti hal nya yang dirasakan siswa SMK Bakti Purwokerto. Dengan permasalahan yang ada, maka kegiatan pelatihan penggunaan  teknologi Nearpod dilaksanakan dengan peserta pelatihan Bapak dan Ibu guru SMK Bakti Purwokerto sebagai inovasi pembelajaran dengan tujuan menjadikan siswa lebih termotivasi dalam belajar dan tujuan pembelajaran disekolah tercapai. Pelatihan dilaksanakan selama dua hari dengan model workshop. Pelatihan yang dimulai tanggal 31 Agustus sampai dengan 1 September 2023 dikemas dalam bentuk ceramah dan praktek langsung oleh para peserta. Hasil evaluasi menunjukan peningkatan pemahaman peserta terhadap materi pelatihan relatif kecil(28,44%), namun motivasi peserta cukup besar(89,29%) untuk dapat menerapkan Nearpod kedalam KBM. Kata kunci: inovatif; nearpod; pembelajaran; teknologi. ABSTRACTThe utilization of technology in the corona pandemic era has changed the learning system in Indonesia to online. The use of gadgets plays a major role in the learning process through online classes. This makes students accustomed to learning independently using technology that has a basic audio visual. When the pandemic is over, learning activities become face-to-face, making students less excited because they have to adapt again. This is what students of SMK Bakti Purwokerto feel. With the existing problems, training activities on the use of Nearpod technology were carried out with training participants Mr. and Mrs. teachers of SMK Bakti Purwokerto as a learning innovation with the aim of making students more motivated in learning and achieving school learning goals. The training was held for two days with a workshop model. The evaluation results show that the increase in participants' understanding of the training material is relatively small (28.44%), but the motivation of the participants is quite large (89.29%) to be able to apply Nearpod into KBM. Keywords: nearpod; innovative; learning; technology.
Sentiment Analysis of Twitter Cases of Riots at Kanjuruhan Stadium Using the Naive Bayes Method Bryan Jerremia Katiandhago; Akhmad Mustolih; Wachyu Dwi Susanto; Pungkas Subarkah; Chendri Irawan Satrio Nugroho
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.2196

Abstract

Sentiment analysis is a process carried out to analyze opinions, sentiments, judgments, and emotions from the riot case at the kanjuruhan stadium. The purpose of this research is to find out public opinion about the tragedy that is currently happening at the Kanjuruhan Stadium. the data was obtained from social media Twitter using the Twitter API, then after that, an analysis was carried out. data from the results of the analysis will be classified using the Naive Bayes method. The classification process is divided into 7 (seven) stages, namely Crawling, Cleansing, pre-processing, labeling, classification, data training, and data testing. In the labeling process, data is classified into 2 (two) classes, namely the positive class and the negative class. The data obtained before the preprocessing process was 1963 tweets, after the preprocessing the data obtained was 1001 tweets. The data will be trained and tested using the naive Bayes classification method. classification results obtained precision values of 82% for negative data and 65% for positive data, recall values obtained 74% for negative data and 75% for positive data, F1-score values obtained 78% for negative data and 70% for positive data, while accuracy value obtained 74%.
Perbandingan Kinerja Metode Naïve Bayes Classifier dan K-Nearest Neighbor pada Analisis Sentimen Ulasan Mobile Banking Jenius Anggi Tri Dewi Septiani; Adam Prayogo Kuncoro; Pungkas Subarkah; Riyanto Riyanto
Jurnal Krisnadana Vol 3 No 2 (2024): Jurnal Krisnadana – Januari 2024
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/krisnadana.v3i2.516

Abstract

Salah satu dampak revolusi industri 4.0 adalah terjadinya persaingan antara bank dengan fintech, supaya tidak tertinggal bank melakukan inovasi dengan menciptakan mobile banking, hingga di Indonesia jumlah pengguna mobile banking setiap tahun semakin meningkat dan nasabah semakin banyak sehingga bank perlu untuk memperhatikan kepuasan pelanggan.Analisis sentimen adalah salah satu solusi yang dapat digunakan untuk melihat kepuasan pelanggan dari opini pengguna aplikasi mobile banking.Pada penelitian ini penulis memiliki tujuan untuk membandingkan kinerja metode Naïve Bayes Classifier dan K-Nearest Neighbor terhadap ulasan mobile banking. Adapun pengujian dari 2000 data yang dibagi menjadi 1600 data latih dan 400 data uji.Hasil analisa menunjukan bahwa metode K-Nearest Neighbor lebih unggul dalam menganalisis sentimen dan hasil performance confusion matrix menunjukan hasil akurasi K-Nearest Neighbor unggul dengan akurasi sebesar 84,06% dan 83,06% sedangkan Naïve Bayes Classifier memperoleh hasil akurasi sebesar 83,06% dan 82,56%.
Pelatihan dan Pendampingan Pembuatan Bahan Ajar Interaktif Berbasis ICT Menggunakan Aplikasi Lectora Inspire bagi Guru-Guru SMA Negeri 1 Wangon Pungkas Subarkah; Faridatun Nida; Irma Darmayanti; Primandani Arsi; Dewi Fortuna; Rosana Fadilla Sari
Prosiding Seminar Nasional Pemberdayaan Masyarakat (SENDAMAS) Vol 2, No 1 (2022): Desember 2022
Publisher : UniversitasAl Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/psn.v2i1.1416

Abstract

Beberapa Persoalan dari kolega yaitu1) kemampuan tenaga pengajar atau guru masih rendah dalam menggunakan teknologi 2) belum adanya pelatihan dan pendampingan pembuatan bahan ajar interaktif berbasis teknologi informasi.  Tenaga pengajar belum memiliki kualifikasi untuk melakukan pelatihan bahan ajar interaktif berbasis teknologi informasi yang dibuktikan dengan sertifikat pelatihan. Tujuan pengabdian ini adalah untuk memberikan pelatihan dan pendampingan pembuatan bahan ajar interaktif berbasis ICT menggunakan aplikasi Lectora Inspire. Metode pelaksanaan dalam pengabdian ini ialah metode workshop dilengkapi Pre-test dan Post-test. Mitra pengabdian ini yaitu guru-guru SMA Negeri 1 Wangon dengan jumlah 50 guru. Hasil dari pengabdian menunjukkan peningkatan yang signifikan, dapat disimpulkan bahwa ada kenaikan sejumlah 70% dalam pemahaman penggunaan bahan ajar interaktif berbasis ICT menggunakan lectora inspire setelah diberikan pelatihan dan pendampingan. Kata kunci: Bahan Ajar Interaktif, ICT, Lectora Inspire, Guru SMA.
DESIGNING UI/UX OF DOCTOR'S CONSULTATION APPLICATION USING DESIGN THINKING METHOD Wenti Risma Damayanti; Adam Prayogo Kuncoro; Pungkas Subarkah; Rujianto Eko Saputro
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 10, No 2 (2024): Maret 2024
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v10i2.3053

Abstract

Abstract: For all people in the world, the application of information and communication technology has become something that is used in everyday life. All information can be accessed easily using current developments in various technologies. The process of searching for various information on the internet has become a habit of today's society. One of the information that people often seek is about health. Several available online health consultation service applications provide considerable benefits for all users. One method used for the UI and UX design process is design thinking. The average user of the application is 18-35 years old. The user interface provided in this application is not yet user friendly, especially for the elderly. User interface (UI) and user experience (UX) are important so that users feel comfortable when using an application.            Keywords: information technology; consulting application; UI/UX; design thinking  Abstract: Bagi seluruh masyarakat di dunia, penerapan teknologi informasi dan komunikasi menjadi hal yang sudah digunakan dalam kehidupan sehari-hari. Seluruh informasi dapat diakses dengan mudah menggunakan perkembangan berbagai macam teknologi saat ini. Proses mencari berbagai informasi di internet sudah menjadi kebiasaan masyarakat saat ini. Salah satu informasi yang sering dicari oleh masyarakat yaitu tentang kesehatan. Beberapa aplikasi layanan konsultasi kesehatan online yang tersedia memberikan manfaat yang cukup besar bagi seluruh pengguna. Salah satu metode yang digunakan untuk proses desain UI dan UX adalah design thinking. Pengguna aplikasi tersebut rata-rata berusia 18-35 tahun. Tampilan user interface yang disediakan pada aplikasi tersebut belum bersifat user friendly, terutama bagi kalanagn lansia. User interface (UI) dan user experience (UX) menjadi hal penting supaya pengguna merasakan kenyamanan pada saat menggunakan sebuah aplikasi.            Keywords: teknologi informasi; aplikasi konsultasi; UI/UX; design thinking
DESIGNING UI/UX FOR ELEMENTARY SCHOOL E-LEARNING USING DESIGN THINKING METHOD Muhammad Rifqi Anshari; Adam Prayogo Kuncoro; Pungkas Subarkah
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 10, No 3 (2024): Juni 2024
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v10i3.3177

Abstract

Abstract: Advances in technology and the internet have an impact on various daily activities, including the teaching and learning process. E-learning facilitates flexible learning without being constrained by space and time constraints. With e-learning, subject matter can be delivered consistently and more standardly than conventional learning which depends on the conditions of the teacher or instructor. One school in Banjarnegara Regency faced problems with students who had difficulty in learning, especially English. The learning media owned is limited to package books only. Therefore, schools need to have media that can support the learning process to be more optimal. This study aims to design and test UI/UX e-learning designs that suit the needs of the school using the design thinking method. This UI/UX design is expected to be an effective solution to overcome the limitations of learning media and improve the quality of student learning. Before the UI/UX design is implemented into the system, this study also conducts testing of the UI/UX design to assess its feasibility. Testing using the SUS (System Usability Scale) method resulted in a value of 82 with grade B, so it can be concluded that the design developed in this study is feasible to be deployed into the system and further developed.             Keywords: E-learning; design thinking; system usability scale; UI/UX Abstrak: Kemajuan teknologi dan internet berdampak pada berbagai aktivitas sehari-hari, termasuk proses belajar-mengajar. E-learning memfasilitasi pembelajaran yang fleksibel tanpa terkendala oleh batasan ruang dan waktu. Dengan e-learning, materi pelajaran dapat disampaikan secara konsisten dan lebih standar dibandingkan pembelajaran konvensional yang bergantung pada kondisi guru atau instruktur. Salah satu sekolah di Kabupaten Banjarnegara menghadapi permasalahan dengan peserta didik yang kesulitan dalam pembelajaran, khususnya bahasa Inggris. Media pembelajaran yang dimiliki terbatas hanya pada buku paket saja. Oleh karena itu, sekolah perlu memiliki media yang dapat menunjang proses pembelajaran agar lebih optimal. Penelitian ini bertujuan untuk merancang dan menguji desain UI/UX e-learning yang sesuai dengan kebutuhan sekolah tersebut menggunakan metode design thinking. Desain UI/UX ini diharapkan dapat menjadi solusi efektif untuk mengatasi keterbatasan media pembelajaran dan meningkatkan kualitas belajar siswa. Sebelum desain UI/UX diterapkan ke dalam sistem, penelitian ini juga melakukan pengujian terhadap desain UI/UX untuk menilai kelayakannya. Pengujian menggunakan metode SUS (System Usability Scale) menghasilkan nilai 82 dengan grade B, sehingga dapat disimpulkan bahwa desain yang dikembangkan dalam penelitian ini layak untuk dideploy ke dalam sistem dan dikembangkan lebih lanjut. Kata kunci: E-learning; design thinking; system usability scale; UI/UX 
Co-Authors A. Kholil Hidayat Abdallah, Muhammad Marshal Adam Prayogo Kuncoro Adam Prayogo Kuncoro Akhmad Mustolih Ali Nur Ikhsan Alya Khansa Dzakkiyah Amira Aida Rashifa Anggi Tri Dewi Septiani Anunggilarso, Luky Rafi Arbangi Puput Sabaniyah Azizan Nurhakim Bagus Adhi Kusuma Bryan Jerremia Katiandhago Budi Utami, Dias Ayu Chendri Irawan Satrio Nugroho Chyntia Raras Ajeng Widiawati Cindy Magnolia Dava Patria Utama Dewi Fortuna Dias Ayu Budi Utami Didit Suhartono Dwi Putra, Ruly Niko Enggar Pri Pambudi Fandy Setyo Utomo Faridatun Nida Fiby Nur Afiana Gina Cahya Utami Harun Alrasyid Hendra Marcos Hidayah, Debby Ummul Ikhsan, Ali Nur Irfan Santiko Irma Darmayanti Isnaini, Khairunnisak Nur Isnaini, Khairunnisak Nur Jali Suhaman Latifah Adi Triana Luki Rafi Anuggilarso Maharani Kusuma Dewi Mohd Sanusi Azmi Muhammad Marshal Abdallah Muhammad Ma’ruf Muhammad Rifqi Anshari Nanda Nurisya Merliani Nandang Hermanto Neta Tri Widiawati Nikmah Trinarsih Nur Hidayah, Septi Oktaviani Nur Isnaeni Khoerida Prastyadi Wibawa Rahayu Primandani Arsi Ragil Wilujeng Rayinda Maya Anjani Reza Aditya Permana Reza Aditya Permana Reza Arief Firmanda Riyanto Riyanto Riyanto Riyanto Rizki Sadewo Rosana Fadilla Sari Rujianto Eko Saputro Salma Ngarifatul Khofiyah Sekhudin Sekhudin Septi Oktaviani Nur Hidayah Septi Oktaviani Nur Hidayah Sholikhatin, Siti Alvi SITI ALVI SHOLIKHATIN Siti Alvi Solikhatin Siti Alvi Solikhatin Suhaman, Jali Trian Damai Tripustikasari, Eka Tripustikasari Wachyu Dwi Susanto Wanda Fitrianingsih Wenti Risma Damayanti Wenti Risma Damayanti Yuli Purwati