Articles
<![CDATA[PELATIHAN PEMBUATAN MEDIA PEMBELAJARAN ONLINE INTERAKTIF BERBASIS CHATBOT UNTUK GURU SMA/SMK DI KOTA BANDUNG ]]>
<![CDATA[Ana Rahma Yuniarti]]>;
<![CDATA[Munawir Munawir]]>;
<![CDATA[Wirmanto Suteddy]]>;
<![CDATA[Raditya Muhammad]]>;
<![CDATA[Mochamad Iqbal Ardimansyah]]>
<![CDATA[ - ]]>
Publisher : <![CDATA[UNIVERSITAS KHAIRUN ]]>
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DOI: 10.33387/pengamas.v5i2.4411
<![CDATA[Grafik kasus COVID-19 yang masih fluktuatif dan tak kunjung usai, membuat pembelajaran secara online memasuki titik jenuh. Berdasarkan hasil survei terhadap 28 guru Sekolah Menengah Atas (SMA) dan Sekolah Menengah Kejuruan (SMK) di Kota Bandung, diketahui bahwa 57% mengalami kendala saat pembelajaran online. Interaksi yang terbatas antara guru dan murid saat pembelajaran online menjadi pangkal permasalahan. Aktivitas tanya-jawab antara murid dan guru menjadi tidak seleluasa ketika pembelajaran di kelas karena beberapa hambatan seperti: kualitas internet yang tidak merata, keterbatasan ruang dan waktu, serta tingkat pemahaman murid dan kualifikasi guru yang beragam. Salah satu solusi yang diusulkan adalah adanya media pembelajaran online berbasis interaktif yang mampu mengatasi permasalahan-permasalahan tersebut. Untuk itu, dalam kegiatan pengabdian masyarakat ini dilakukan pelatihan pembuatan media pembelajaran online interaktif dengan memanfaatkan teknologi chatbot kepada para guru SMA dan SMK di Kota Bandung. Pelatihan dilakukan secara virtual melalui aplikasi zoom dimana peserta mendengarkan pemaparan materi dari narasumber sekaligus praktik langsung cara mengkonfigurasi chatbot sebagai media belajar sesuai kebutuhan. Didapatkan hasil bahwa 82,14% peserta menyatakan bahwa pelatihan berguna bagi mereka serta mengharapkan pelatihan sejenis dapat diselenggarakan kembali ke depannya untuk meningkatkan kapabilitas mereka agar dapat mengimbangi pesatnya perkembangan teknologi di zaman yang serba canggih ini]]>
<![CDATA[Machine Diagnosis based Multi-Agent Technology by Autonomous Sensor with Energy Harvesting ]]>
<![CDATA[Munawir Munawir]]>;
<![CDATA[Devi Rimadhani Agustini]]>;
<![CDATA[Rahmawati Rahmawati]]>;
<![CDATA[Abdullah Muadz Nadzir Anzhar]]>
<![CDATA[ Journal of Computer Engineering, Electronics and Information Technology Vol 1, No 1 (2022): COELITE: Volume 1, Issue 1, 2022 ]]>
Publisher : <![CDATA[Universitas Pendidikan Indonesia ]]>
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DOI: 10.17509/coelite.v1i1.43818
<![CDATA[A machine diagnosis system based on multi-agent technology is proposed. We mainly focus on developing a multi-agent system for rotating machinery fault diagnosis by vibration sensor with energy harvesting. To estimate the inner rotation of machines in plant frequency analysis is frequently used. Our approach for diagnosis is agent-based, where vibration data is analyzed by a set of software agents coming from distributed servers to the user side. Another feature of this study is the development of autonomous vibration sensors. It earns electric power from vibration so that we are free from battery maintenance, and continuous online monitoring is enabled. Based on the implementation results of the existing multi-agent system design prototype, the harvesting sensor working process can produce total energy of 205µW with a working cycle of about 6.5 minutes, the energy harvester works, and the power accumulates continuously.]]>
<![CDATA[Sentiment Analysis of Twitter Users’ Opinion Data Regarding the Use of ChatGPT in Education ]]>
<![CDATA[Jezzy Putra Munggaran]]>;
<![CDATA[Ahmad Ali Alhafidz]]>;
<![CDATA[Maulana Taqy]]>;
<![CDATA[Devi Aprianti Rimadhani Agustini]]>;
<![CDATA[Munawir Munawir]]>
<![CDATA[ Journal of Computer Engineering, Electronics and Information Technology Vol 2, No 2 (2023): COELITE: Volume 2, Issue 2, 2023 ]]>
Publisher : <![CDATA[Universitas Pendidikan Indonesia ]]>
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DOI: 10.17509/coelite.v2i2.59645
<![CDATA[This article presents a sentiment analysis of Twitter users' opinions regarding the use of ChatGPT in education. ChatGPT, an AI chatbot developed by OpenAI, has gained significant attention for its ability to provide detailed responses across various knowledge domains. However, concerns have been raised about its occasional inclusion of inaccurate information. This study aims to analyze the sentiment of Twitter users' opinions towards ChatGPT in education and evaluate its accuracy. The sentiment analysis process involves data crawling, labelling, preprocessing, sentiment analysis, and evaluation. Data is collected from Twitter using the RapidMiner Studio tool and labelled as positive or negative sentiment based on the presence of positive or negative words. Preprocessing techniques are applied to standardize and reduce the volume of words in the data. The sentiment analysis classification is performed using machine learning algorithms, specifically Naive Bayes and Support Vector Machine (SVM). The accuracy, precision, and recall of the classification models are evaluated. The sentiment analysis results provide insights into Twitter users' overall sentiment towards ChatGPT in education. This study contributes to understanding Twitter users' opinions and sentiments regarding using ChatGPT in education. The findings can be valuable for educators and policymakers in assessing the potential impact of ChatGPT on academic integrity and the educational landscape.]]>
<![CDATA[Analisis Data Review Hotel di Google Maps Melalui Text Mining (Studi Kasus : Kabupanten Bandung) ]]>
<![CDATA[Jorgha Akram Aryadi]]>;
<![CDATA[Yahya Aliman Aidil Basith]]>;
<![CDATA[Munawir Munawir]]>;
<![CDATA[Devi Aprianti Rimadhani Agustini]]>
<![CDATA[ JURNAL INFORMATIKA DAN KOMPUTER Vol 7, No 2 (2023): SEPTEMBER 2023 ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia ]]>
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DOI: 10.26798/jiko.v7i2.938
<![CDATA[Penelitian ini bertujuan untuk menganalisis data review hotel di Google Maps melalui text mining di Kabupaten Bandung. Metode text mining digunakan untuk menggali informasi yang terkandung dalam teks ulasan pengguna hotel. Data review hotel diambil dari platform Google Maps dan diolah menggunakan metode Latent Dirichlet Allocation (LDA). Hasil analisis menunjukkan adanya bobot setiap kata dalam ulasan pengguna terkait hotel di Kabupaten Bandung. Temuan ini memberikan wawasan tentang kebersihan, fasilitas, pelayanan, dan pengalaman pengguna yang dapat digunakan sebagai bahan evaluasi dan pengembangan hotel di daerah tersebut. Hasil penelitian didapatkan faktor daya tarik yang paling dominan ialah Kualitas dan Pelayanan (37.60%), kemudian Fasilitas dan Lingkungan (34.54%), dilanjut dengan Aktivitas dan Hiburan (27.85%). Setelah analis LDA, data tersebut diperkuat dengan Analysis of Variance (ANOVA) One Way. Hasil yang diperoleh dari ANOVA adalah p-value bernilai 0.48578981747778355. Dalam kasus ini, p-value (0.48578981747778355) lebih besar dari tingkat signifikansi yang umumnya digunakan (0.05), yang menunjukkan bahwa tidak ada perbedaan signifikan antara kelompok fasilitas dan lingkungan, aktivitas dan hiburan, serta kualitas dan pelayanan pada hotel-hotel yang dianalisis.]]>
<![CDATA[Perancangan Aplikasi Menu Makanan Berbasis Java ]]>
<![CDATA[Alfarisi, Farhan Siddiq]]>;
<![CDATA[Zuhairmawan, Muhammad Tiar]]>;
<![CDATA[Pradeka, Deden]]>;
<![CDATA[Munawir, Munawir]]>
<![CDATA[ Jurnal Ilmiah Ilmu dan Teknologi Rekayasa Vol. 6 No. 2 (2023): September 2023 ]]>
Publisher : <![CDATA[UPPM Polsub ]]>
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DOI: 10.31962/jiitr.v5i2.129
<![CDATA[Pemesanan menu makanan merupakan suatu aktivitas yang dilakukan oleh pelanggan untuk membeli produk menu makanan. Mayoritas pemesanan dilakukan secara manual harus melalui kasir dan menghambat efektivitas waktu, kelalaian manusia oleh karena itu perancangan Aplikasi pemesanan menu makanan merupakan solusi terbaik untuk mengatasi beberapa permasalahan tersebut. Adapun perancangan aplikasi berbasis java ini menggunakan bahasa java yang dimulai dari pembuatan spefikasi kebutuhan perangkat lunak, dan perancangan database dalam pengujian aplikasi ini juga digunakan metode blackbox agar bisa mengukur keakuratan aplikasi tersebut setelah dilakukannya pengujian tersebut juga menunjukkan hasil yang cukup baik artinya aplikasi ini sesuai dengan harapan dan dapat menyelesaikan masalah yang ada.]]>
<![CDATA[Perencanaan Rute Optimal Kunjungan Destinasi Wisata Bandung dengan Algoritma Dijkstra Pada C++ ]]>
<![CDATA[Khoir, Farhan Ramadhan]]>;
<![CDATA[Subandri, Anatasia Aulienda]]>;
<![CDATA[Alanshori, Fatih Nurrobi]]>;
<![CDATA[Solihah, Zulfa Maylafaiza Hadiatus]]>;
<![CDATA[Munawir, Munawir]]>;
<![CDATA[Perdana, Abdi Surya]]>
<![CDATA[ Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 6 No 2 (2024): April 2024 ]]>
Publisher : <![CDATA[Prodi Sistem Informasi Universitas Dharma Andalas ]]>
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DOI: 10.47233/jteksis.v6i2.1167
<![CDATA[Bandung, as one of the attractive and popular tourist destinations in Indonesia with a variety of destination choices. The development of the tourism sector in Bandung does not only focus on attracting tourists, but also includes improving infrastructure and accommodation facilities. With more than 825 tourist destinations in Bandung, visiting tourists realize how important it is to choose the best route to maximize their travel experience. This research focuses exclusively on discussing the application of the Dijkstra Algorithm with the C++ programming language to increase travel efficiency to tourist destinations in Bandung. Dijkstra's algorithm is a very effective method in determining the shortest route and is widely used. Performance comparison between Dijkstra's Algorithm and other algorithms shows the significant superiority of Dijkstra's Algorithm. This advantage can be attributed to the use of non-negative weights and the simple and easy to understand nature of the graph, making this research relevant and has the potential to make a positive contribution in improving the tourist experience in Bandung.]]>
<![CDATA[Implementasi Stack dan Array pada Pengurutan Lagu dengan Metode Selection Sort ]]>
<![CDATA[Putri, Ghina Mawarni]]>;
<![CDATA[Pradja, Kimberly Alfa Di]]>;
<![CDATA[Azizi, Muhammad Bilal Mardhiyyano]]>;
<![CDATA[Nurwahid, Prihatma]]>;
<![CDATA[Perdana, Abdi Surya]]>;
<![CDATA[., Munawir]]>
<![CDATA[ Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 6 No 2 (2024): April 2024 ]]>
Publisher : <![CDATA[Prodi Sistem Informasi Universitas Dharma Andalas ]]>
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DOI: 10.47233/jteksis.v6i2.1192
<![CDATA[A song is a work of art combined between sound art in which there is a melody and color of the singer's voice with language art. The number of songs nowadays requires a program that can sort songs to make it easier for users to find songs. This article aims to apply stack and array data structures to sort songs with the selection sort algorithm method in the hope that it can make it easier for users to find songs. In addition, this article aims to compare whether the selection sort algorithm is faster than insertion sort or vice versa. In making this journal, a literature study research method was carried out to deepen the material to be used in the project. The results of the program that has been made are that users can choose between adding songs, searching for songs, displaying songs that are already in the list, sorting songs, and exiting the program. With this, users can access and add their favorite songs anywhere and anytime. The conclusion of the results obtained is that selection sort is faster than insertion sort.]]>
<![CDATA[Pengembangan Model Pohon Keputusan untuk Menentukan Jurusan Pada SMA Menggunakan Bahasa C++ ]]>
<![CDATA[Mustofa, Rangga Ali]]>;
<![CDATA[Azzahra, Salsabila Nida]]>;
<![CDATA[Priswati, Hasna Putri]]>;
<![CDATA[Martadisastra, Muhamad Rafi Pasya]]>;
<![CDATA[Munawir, Munawir]]>;
<![CDATA[Perdana, Abdi Surya]]>
<![CDATA[ Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 6 No 4 (2024): Oktober 2024 ]]>
Publisher : <![CDATA[Prodi Sistem Informasi Universitas Dharma Andalas ]]>
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DOI: 10.47233/jteksis.v6i4.1212
<![CDATA[The selection of a high school major is one of the crucial decisions that will determine the future of students. Decision Support Systems (DSS) can be used to assist students in making such decisions. DSS can provide information and advice to students based on relevant criteria. The decision tree method is one of the classification methods that can be applied to DSS. This method utilizes a tree representation consisting of several nodes. Nodes in the decision tree represent attributes that influence decision-making in specific cases. This research aims to develop a decision tree model using the C++ programming language to assist high school students in choosing their majors. The decision tree model is developed by considering relevant criteria, namely interests, talents, and grades obtained by students in various subjects. The research results indicate that the developed decision tree model can provide relevant information and advice to students in choosing their majors. This model can significantly contribute to the effectiveness of the decision-making process undertaken by high school students when selecting their majors.]]>
<![CDATA[The Possibility Prediction of Inheriting Blood Types in Parents Based on The Child's Allele Combination ]]>
<![CDATA[Adi Nugroho, Afrizal]]>;
<![CDATA[Salsa Billa, Aidha]]>;
<![CDATA[Mochamad Fabian, Reyhan]]>;
<![CDATA[Munawir, Munawir]]>;
<![CDATA[Taufik Dwi Putra , Muhammad]]>
<![CDATA[ Information Technology International Journal Vol. 2 No. 1 (2024): Information Technology International Journal ]]>
Publisher : <![CDATA[Magister Teknologi Informasi UPN "Veteran" Jawa Timur ]]>
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DOI: 10.33005/itij.v2i1.14
<![CDATA[The application of predicting the likelihood of blood group inheritance in children based on allele combinations from parents is becoming increasingly relevant. Understanding the combination of alleles that may appear in offspring can provide better insight for individuals and couples in planning families. The existence of an application to predict a child's blood type by using program development to form a family tree based on blood type can provide a clear visual picture of the inheritance of blood type from generation to generation. The purpose of this research is to identify allelic combinations of certain genes that affect a person's blood type and analyze how genetic inheritance occurs from parents to children. This study proves that we can see the likelihood of blood type inheritance of a child by looking at the allele combinations of both parents. This concept can be explained using the concept of a family tree (Tree). By using the Tree concept, we can easily visualize the inheritance of blood groups based on alleles, and facilitate the understanding of the formation of allele combinations that occur in the genetic inheritance process.]]>
<![CDATA[Pelatihan Peningkatan Kemampuan Computational Thingking Guru dengan Media Robotik di SMP Santa Ursula Bandung ]]>
<![CDATA[Munawir]]>;
<![CDATA[Dwi Putra, Muhammad Taufik]]>;
<![CDATA[Pradeka, Deden]]>;
<![CDATA[Adiwilaga, Anugrah]]>;
<![CDATA[Pararta, Muhammad Salam]]>
<![CDATA[ Jurnal Abdimas Mandiri Vol. 8 No. 3 ]]>
Publisher : <![CDATA[UNIVERSITAS INDO GLOBAL MANDIRI ]]>
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DOI: 10.36982/jam.v8i3.4704
<![CDATA[Tujuan dari dilaksanakannya pengabdian ini adalah untuk meningkatkan kemampuan berpikir komputasional guru di SMP Santa Ursula Bandung. Metode-metode yang diterapkan dalam pengabdian ini meliputi ceramah, praktik langsung, dan diskusi interaktif. Sebanyak 25 guru diikutsertakan dalam pelatihan ini, dan evaluasi kegiatan dilakukan menggunakan instrumen yang disediakan melalui Google Form yang kemudian dianalisis secara deskriptif. Hasil dari pengabdian ini menunjukkan adanya peningkatan capaian hasil belajar siswa yang diajarkan dengan penerapan ilmu teknologi robotika. Dengan analisis uji normalitas menggunakan N-Gain, didapatkan peningkatan pada nilai-nilai yang berkaitan dengan kompetensi siswa dalam pembelajaran. Para siswa cenderung lebih aktif dan mudah memahami konsep-konsep pelajaran ketika diberikan pemeragaan menggunakan robot. Hal ini ditunjukkan dengan rata-rata nilai efektivitas N-Gain di angka 40%. Dengan dilaksanakannya pelatihan ini, diharapkan para guru dapat menerapkan ilmu teknologi robotika sebagai media pembelajaran dalam kegiatan belajar mengajar di kelas. Penerapan teknologi ini tidak hanya membantu siswa memahami materi pelajaran dengan lebih baik, tetapi juga mempersiapkan mereka untuk menghadapi tantangan di era digital. Pelatihan ini juga diharapkan dapat meningkatkan kompetensi guru dalam mengintegrasikan teknologi dalam proses pembelajaran, sehingga menciptakan lingkungan belajar yang lebih interaktif dan inovatif. Dengan demikian, tujuan utama dari pengabdian ini dapat tercapai, yaitu meningkatkan kualitas pendidikan melalui pemanfaatan teknologi yang tepat guna.]]>
