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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Sainteks Jurnal Informatika SPEKTRUM INDUSTRI Jurnal Sarjana Teknik Informatika International Journal of Advances in Intelligent Informatics Seminar Nasional Informatika (SEMNASIF) Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Pengabdian UntukMu NegeRI JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat JISKa (Jurnal Informatika Sunan Kalijaga) Just TI (Jurnal Sains Terapan Teknologi Informasi) International Journal of Industrial Optimization (IJIO) Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Swadaya: Indonesian Journal of Community Empowerment Jurnal Teknologi Informasi dan Komunikasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) JHCLS Prosiding Seminar Nasional Program Pengabdian Masyarakat TECHSI - Jurnal Teknik Informatika Journal of Artificial Intelligence in Architecture KOPEMAS
Sri Winiarti
Universitas Ahmad Dahlan
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Social Sciences Veterinary Other

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Utilization of the PROMETHEE algorithm to determine the suitability of the atmospheric environment in traditional buildings Ana Distia Diva; Sri Winiarti; Murein Miksa Mardhia
Jurnal Informatika Vol 17, No 1 (2023): January 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jifo.v17i1.a25799

Abstract

The village house is an example of a traditional building. The village house is currently used as a community residence. The life of the village house still protects and maintains ancestral customs, including in the form of house architecture. In the process of building a village house, there is one aspect that is used, such as an appropriate environmental atmosphere. Where the building must maintain the beauty of the environment. The importance of paying attention to the atmospheric environment is because the characteristics of these traditional buildings are not lost, especially in the atmospheric environment as historical evidence. Thus, to develop village house buildings, there is a lack of information related to the traditional buildings themselves, such as the past environmental conditions around traditional buildings, road conditions around buildings, beauty and distance between buildings, and building models around conventional houses, to achieve the goal, documentation of the necessary knowledge related to the atmospheric environment for traditional buildings that still maintains or provides an atmosphere like the old days. The research will be conducted using the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) algorithm. The research method is by conducting a literature study, observation, and documentation. Observations and documentation were carried out to collect data in the form of 300 photos of Kampung Rumah in Borobudur, from the data in the form of 300 photos, 9 (nine) were collected. System testing using System Usability Scale (SUS), Black-box, and Expert Judgment. The result of the research is a system for determining the suitability of the environmental atmosphere for village houses in Borobudur using the PROMETHEE algorithm. This research is expected to help determine the village house environment in Borobudur by displaying the final results in the form of outranking and the system test value of 85%.
Pemetaan Kehartabendaan Muhammadiyah untuk Optimalisasi Sistem Sistem Informasi Aset dengan Penerapan Kecerdasan Buatan Sri Winiarti; Miftahurrahma Rosyda; Cindy Mayeza Putri
Sainteks Vol 20, No 1 (2023): April
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/sainteks.v20i1.14537

Abstract

Pengelolaan kerhartabendaan merupakah salah satu tugas penting Majelis Wakaf Muhammadiyah seluruh Indonesia. Penelitian ini mengambil studi kasus Majelis Wakaf Pimpinan Wilayah Muhammdiyah Daerah Istimewa Yogyakarta (PWM DIY) untuk diambil datanya kemudian dikelola untuk dikelompokan dengan algoritma k-means dalam kecerdasan buatan. Dalam pengelolaan kehartabendaan PWM DIY telah menggunakan sebuah aplikasi yang dipakai untuk pendataan, namun data-data kehartabendaan yang ada belum dapat diketahui informasi kehartabendaan yang produktif. Diperlukan suatu informasi terkait produktifitas kehartabendaan bagi pimpinan agar dapat mengetahui nilai ekonomis suatu kehartabendaan yang dimiliki oleh persyarikatan Muhammadiyah oleh pimpinan untuk dapat menjadi pertimbangan keputusan di masa mendatang. Tujuan penelitian ini melakukan optimalisasi penggunaan aplikasi kehartabendaan SIMAM dengan melakukan pengembangan fitur menerapkan metode clustering sebagai salah satu algoritma dalam kecerdasan Buatan, yaitu algoritma K Means. Metode yang dilakukan dengan mengambil data yang terdapat dalam aplikasi kehartabendaan milik PWM DIY, kemudian dilakukan prosen penambangan data untuk memperoleh pola data kehartabendaan dengan menggunakan 4 variabel, yaitu; barang, kendaraan, tanah dan bangunan. Selanjutnya dilakukan pre-processing data untuk mendapatkan data yang baik agar mudah dilakukan clustering dengan menerapkan algoritma K-Means yang menghasilkan 3 kelompok data yaitu; Produktif, non produktif dan tidak terdefinisi. Hasil pengujian web menunjukkan seluruh modul dapat berfungsi dengan baik, sedangkan hasil pengujian akurasi dengan metode comfusion matrix menunjukkan hasil akurasi 100%. Manfaat dari penelitian ini mengoptimalkan fungsi tatakelola kehartabendaan Muhammadiyah melalui aplikasi SIMAM dan diintegrasikan dengan aplikasi kecerdasan buatan yang dapat memberikan rekomendasi kepada pimpinan khususnya pengelola kehartabendaan muhammadiyah untuk mengetahui produktifitas dari kehartabendaan tersebut. Selain itu penelitian ini dapat diteruskan ke penelitian selanjutnya untuk memprediksi nilai ekonomis kehartabendaan setiap tahunnya dengan menggunakan metode forecasting.
Analisis Sentimen Menggunakan Long Short-Term Memory Terkait Vaksinasi Covid-19 Di Indonesia Kharisma Kusuma Dewi; Sri Winiarti
Jurnal Sarjana Teknik Informatika Vol 11, No 3 (2023): Oktober
Publisher : Program Studi Informatika, Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jstie.v11i3.27188

Abstract

Pro dan kontra masyarakat terkait program vaksinasi Covid-19 di Indonesia belum dikelola dengan baik oleh pemerintah. Pengelolaan opini dapat dilakukan dengan analisis sentimen untuk mendapatkan rekomendasi yang terbaik. Penelitian dengan topik yang sama banyak yang menggunakan machine learning, dan sedikit yang menggunakan deep learning. Pada penelitian ini memilih deep learning dengan algoritma Long Short-Term Memory (LSTM) untuk analisis sentimen. Penelitian ini bertujuan untuk mengetahui bagaimana melakukan analisis sentimen menggunakan LSTM terhadap vaksinasi Covid-19 di Indonesia. Serta dapat mengetahui performa LSTM untuk analisis sentiment terkait vaksinasi covid19 di Indonesia. Tahapan pertama dilakukan dengan pengumpulan data yang diambil dari Kaggle dengan topik yang sama. Kemudian dilakukan preprocessing. Setelah itu dilakukan klasifikasi dengan menggunakan LSTM. Proses akhir dari analisis sentimen yaitu pengujian metode klasifikasi untuk mengetahui performa model menggunakan confusion matrix dan classification report. Penelitian ini menggunakan 3000 data, dan dari banyak percobaan modifikasi model LSTM, dipilih model Bidirectional LSTM dan GloVe untuk word embedding, dengan menambahkan regularisasi berupa dropout dan pooling layer berupa GlobalMaxPool1D. Performa yang dihasilkan yaitu akurasi 71%, dengan rincian untuk sentimen negatif (presisi: 89%, recall: 20%, dan f1-score: 33%), sentimen netral (presisi: 72%, recall: 86%, dan f1-score: 78%), sentimen positif (presisi: 67%, recall: 72%, dan f1-score: 70%). 
Particle Swarm Optimization Algorithm for Hyperparameter Convolutional Neural Network and Transfer Learning VGG16 Model Murinto, Murinto; Winiarti, Sri; Faisal, Ilyas
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 5, No 1 (2024)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v5i1.16680

Abstract

The classification process is also used in artificial intelligence (AI), which is intelligence created by a computer, so that it can mimic actions like humans in general and can capture events that occur in the surrounding environment. Seeing the very high development of the international coffee trade, it can be concluded that if there is a type of coffee that has the best quality, it will be sought after by coffee importing countries. Batik is cloth that is painted using canting and liquid wax to form motifs or patterns that have high artistic value. Batik has a variety of unique and distinctive patterns that reflect the region where the batik motif originates. One area that has batik motifs in Indonesia is batik in the North Coastal Region of Java Island. In this area, various batiks are produced according to the characteristics of the area itself. Regarding information related to the introduction of types of batik motifs, perhaps it comes from people who have batik skills and batik craftsmen who best understand batik as a whole, while the general public does not really know about batik motifs. Because batik has different motifs and batik motifs in some areas have motifs that are almost uniform but not the same. One of the technologies that can be used is deep learning. The purpose of this study is to propose a Convolutional Neural Network (CNN) and Transfer Learning (TL) model to be implemented in an intelligent system for the process of image classification of coffee bean types. The method used in this study is the PSOCNN transfer learning model VGG16 From the results of tests carried out on 2 models, namely the CNN model, the PSOCNN transfer learning model VGG16. it was found that the highest accuracy was obtained when classifying batik motives images using the PSOCNN-transfer learning model VGG16, which was 83%. The level of accuracy that is increased when compared to the usual CNN model indicates that the use of transfer learning has a good effect on the level of accuracy obtained. Although an increase of 6% is significant, but with this increase it opens up opportunities to increase even higher by using other transfer learning models
Optimalisasi Literasi Digital dalam Rekomendasi Buku Referensi dengan Metode Clustering Ahdiani, Ulaya; Winiarti, Sri; Ismail, Taufiq
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 2 (2024): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i2.836

Abstract

In the learning process, library sources or teaching references are one of the main components needed for a lecturer. The large number of textbook references available for a course can make it difficult for a lecturer to determine which option is appropriate or widely used by lecturers for the same course. The importance of selecting textbook references allows a lecturer to search for information to determine whether the reference is the main reference or an additional reference. Digital literacy is one way that a lecturer can use to search for information related to textbook references by using computers or smartphones. The problem is that the available digital literacy is not yet able to provide recommendations for textbooks that teachers widely use for a course based on certain criteria. Several criteria can be used as determining indicators for a recommended book, for example, popularity due to the highest rating used, author's name, publisher's name, content or material, and year of publication are usually the determining indicators for using a book as a reference.  In fact, in cyberspace, a lot of textbook reference information is provided, but it has not been grouped based on use. By utilizing a database of books published or sold online, you can find out what textbooks are the most popular and can be used as teaching materials. Still, a lecturer needs to find out one by one in each available online shop. The method in this research is data mining for textbooks that can be used as a reference for a lecturer using text mining techniques by clustering book titles in several online stores and based on semester learning plans from several campuses to map textbooks that are widely used. as reference material for 500 book titles from several publishers. Using 6 variables consisting of a book title, use for courses or fields of science, publisher, author, year of publication, and material, analysis will be carried out to obtain a data pattern. This research aims to apply a text mining concept to provide textbook recommendations for lecturers in the Informatics field of artificial intelligence courses using clustering techniques so that they can recommend reading books using 6 variables. The aim of this research is achieved in the form of software as a form of application of theory that has been tested in the laboratory for accuracy. The benefit of this research is providing lecturers with a list of textbooks that have been ranked automatically and are widely used in the same field of science.
Penguatan Tata Kelola Organisasi Melalui Pengembangan Sistem Informasi Pada Prim Kansai Jepang Winiarti, Sri; Norma Sari; Ulaya Ahdiani; Daffa Alif Murtaja
Jurnal Pengabdian UntukMu NegeRI Vol. 8 No. 1 (2024): Pengabdian Untuk Mu negeRI
Publisher : LPPM UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jpumri.v8i1.6227

Abstract

Dalam suatu organisasi penting sekali memperkuat tata kelola organisasi agar dapat memperluas informasi. Banyak cara yang dilakukan dalam penguatan tata kelola organisasi yang dilakukan para pelaku organisasi, diantaranya pengembangan Sumber Daya manusia (SDM) dan Pengembangan Teknologi Informasi (TI). Dengan dukungan SDM yang kompeten serta TI yang handal memungkinkan komunikasi dapat berjalan dengan baik secara internal dan eksternal organisasi. Pengurus Ranting Istimewa Muhammadiyah (PRIM) Kansai Jepang, sebagai suatu organisasi muhammadiyah yang baru berdiri di Kansai Jepang pada 31 Oktober 2021. PRIM Kansai sudah menunjukkan geliatnya melalui berbagai kegiatan untuk tenaga pekerja Indonesia di Kansai Jepang. Permasalahan yang dihadapi PRIM diantaranya, yaitu; perlindungan hukum bagi Tenaga Kerja Indonesia, kebutuhan akan tenaga pendamping tahsinul quran bagi para anggota komunitas dan optimalisasi penggunaan teknologi digital menjadi fokus permasalahan yang terjadi pada komunitas tersebut. Untuk itu PRIM Kansai berupaya untuk mencari solusi dari permasalahan tersebut. Dalam usulan kegiatan pengabdian masyarakat ini, fokus permasalahan memberikan pemahaman kepada pengurus dan anggota PRIM Kansai terhadap penguatan ketahanan komunitas dalam komunikasi digital, perlindungan konsumen digital, penyediaan sistem informasi sebagai pusat data anggota komunitas serta memberikan pelatihan teknologi informasi. Tujuan kegiatan pengabdian ini dalam rangka memberikan penguatan bagi organisasi PRIM Kansai Jepang melalui Sistem informasi tata kelola organisasi bagi anggota.
PENGUATAN LITERASI DIGITAL UNTUK TRANSFORMASI KONSUMEN MENUJU KREATOR DIGITAL BERBASIS BUDAYA PADA PRIM KANSAI Norma Sari; Ulaya Ahdiani; Sri Winiarti
Konferensi Nasional Pengabdian Masyarakat (KOPEMAS) #5 2024 Konferensi Nasional Pengabdian Masyarakat (KOPEMAS) #4 & International Community Service 2023
Publisher : Konferensi Nasional Pengabdian Masyarakat (KOPEMAS) #5 2024

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

WNI Indonesia yang tinggal di Jepang saat ini kurang lebih sebanyak 83.169 orang. Pimpinan Ranting Istimewa Muhammadiyah Kansai (PRIM Kansai) sebagai salah satu ormas Islam semakin menunjukkan geliatnya melalui berbagai kegiatan. Mereka menghadapi tantangan penguatan lietrasi digital untuk transformasi dari konsumen menuju creator digital. Tujuan kegiatan pengabdian ini adalah membantu penguatan literasi digital menuju transformasi untuk penguatan jaringan Pimpinan Ranting Istimewa Muhammadiyah Kansai dan jaringan dakwahnya. Metode yang digunakan agar kegiatan dapat berjalan secara lancar adalah blended antara model daring dan luring yang dilaksanakan selama dua semester. Hasil kegiatan adalah literasi tentang transformasi konsumen menuju kreator digital dan konten digital berbasis budaya. Bagi tim pengabdian hasilnya adalah pengintegrasian dalam mata kuliah yang diampu.
PENGUATAN TATA KELOLA ORGANISASI MELALUI DIGITALISASI INFORMASI Intan Rawit Sapanti; Sri Winiarti; Fitrinanda An Nur
Konferensi Nasional Pengabdian Masyarakat (KOPEMAS) #5 2024 Konferensi Nasional Pengabdian Masyarakat (KOPEMAS) #4 & International Community Service 2023
Publisher : Konferensi Nasional Pengabdian Masyarakat (KOPEMAS) #5 2024

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perkembangan globalisasi mendorong terjadinya pergerakan aliran modal dan investasi ke berbagai penjuru dunia, terjadi pula migrasi penduduk atau pergerakan tenaga kerja antar negara. Korea Selatan merupakan salah satu negara maju yang menjadi tujuan pelajar dan pekerja Indonesia karena perkembangan elektronik, Pendidikan, teknologi, serta industry hiburannya. Pengabdian ini bertujuan untuk memberikan penguatan tata Kelola organisasi melalui digitalisasi informasi dengan mengembangkan system informasi website yang dikelola oleh PCIM Korea Selatan serta memberikan pelatihan pemanfaatan media sosial melalui videografi kreatif. Metode pelaksanaan kegiatan ini dilaksanakan secara blended dengan menggabungkan kegiatan secara daring dan luring. Kegiatan pengabdian ini terbagi menjadi koordinasi awal, focus group discussion untuk menganalisis kebutuhan user, pembuatan system informasi, pelatihan bagi admin, serta pelatihan pemanfaatan media sosial melalui videografi kreatif.  Hasil kegiatan pengabdian masyarakat ini telah berhasil membuatkan website berbasis system informasi yang dikelola oleh PCIM Korea Selatan, serta peningkatan pemahaman terkait pemanfaatan media sosial melalui videografi kreatif.
Digital consumer transformation to enhance Dawah in Muhammadiyah special branch Taiwan Sari, Norma; Sunardi, Sunardi; Winiarti, Sri; Ahdiani, Ulaya
Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Vol. 8 No. 2 (2024)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jpm.v8i2.11029

Abstract

Muhammadiyah has grown rapidly throughout the world in quantity through special branches as well as quality by targeting the Dawah model, including digital Dawah. Muhammadiyah realizes that the development of digital dawah requires quality human resources and continues to develop to increase its capacity to promote dawah using digital technology. The leadership of the Muhammadiyah Special Branch Taiwan is one of the overseas branches that has developed digital dawah since its establishment. The purposes of the service are to help Muhammadiyah Special Branch Taiwan enhancing the dawah by applying digital technology and to help to transform digital consumers into digital creator. We expect this service will strengthen Muhammadiyah Special Branch Taiwan networking. This program contributes to the Muhammadiyah Special Branch in Taiwan to manage membership and activities, to link with other Islamic Organizations, and to spread the dawah internationally through an informatics system developed by the UAD team.
The Regulations of Protection Tourists in High-Risk Tourism Destination Sari, Norma; Fajri, Choirul; Winiarti, Sri; Ahdiani, Ulaya; Zulhuda, Sonny
Journal of Human Rights, Culture and Legal System Vol. 4 No. 3 (2024): Journal of Human Rights, Culture and Legal System
Publisher : Lembaga Contrarius Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53955/jhcls.v4i3.366

Abstract

Indonesia is one of the tourism destination countries in the world. The Indonesian government should minimize the risk of tourism activities at high-risk tourist attractions. In the digital era, efforts to optimize tourist protection can be made with artificial intelligence. This study aims to study tourist protection regulations in high-risk tourist areas in Indonesia and compare tourist protection regulations developed by other countries such as the United States of America, Japan, India, and Thailand. This research uses empirical legal legal research, combining normative legal elements with additional empirical data or elements. The results of this research show that there are traveler protection regulations in Indonesia, but their implementation still needs to be improved. Indonesia needs to learn from other countries, such as the United States of America, Japan, India, and Thailand, which have used international standards and implemented Artificial Intelligence. Through the recommended models for using Artificial Intelligence by researchers, it is hoped that they will be able to optimize the protection of tourists at high-risk tourist attractions.
Co-Authors Adil Pratama Afiat Triyuniarta An Nur, Fitrinanda Ana Distia Diva Andina Megawati Akase Andri Pranolo Anis Nurwanto Ardi Pujiyanta Astreanto Habibullah Astri Yatnasari Atik Mar’atun Sholihah Augit Indatmowo Bagus Imam S.N. Bagus Priangga Bagus Priangga Bagus Priangga, Bagus Cendani Wukir Choirul Fajri Cindy Mayeza Putri Daffa Alif Murtaja Dedi Nugraha Dedi Nugraha Desy Widayanti Dewi Soyusiawaty Dewi, Kharisma Kusuma Dian Sulistyo Distia Diva, Ana Dwi Oktavia Andriyanti Endriyono Endriyono Enggar Novianto Enita Try Saadyah Faisal, Ilyas Faza Akmal Fitriana Susanti Fitrinanda An Nur Galih Oktorika Isnawan Heri Pramono Herman Yuliansyah Herman Yuliansyah Herman Yuliansyah Herman Yuliansyah, Herman Ida Widaningrum, Ida Imam Riadi Imam Riadi Irawan, Riki Izzati Muhimmah Kharisma Kusuma Dewi Lathifah Lathifah Meilawati, Noni Melanita Indrianis Miftahurrahma Rosyda Miksa Mardhia, Murein Muhammad Al Mahdi Muhammad Arifin Setyawan Murein Miksa Mardhia Murinto Murinto Nailut Thoyibah Nila Susanti Noni Meilawati Norma Sari Norma Sari Nungky Anjaswari Nur Azizah Nur Kahfi Ibrahim Nur Rachmaliany Nur Rochmah Dyah Pujiastuti Nurul Azizah Pandu Herwijaya Priranda Widara Ananta Puguh Drajat Eka Putra R. Panji Daru Tutuko Rachmaliany, Nur Reni Wijayanti Rifki Pambudi Riki Irawan Rizka Gustikasari Rusydi Umar sapanti, intan rawit Saputro, Mochammad Yulianto Andi Sonny Zulhuda Sri Kusumadewi Sri Wahyuni Sri Wahyuni Sulistyo, Dian Sunardi Sunardi Sunardi, Sunardi Supriyanto Taufiq Ismail Taufiq Ismail Taufiq Ismail Taufiq Ismail Tri Afriliyanti Tsaqila, Siti Lathifah Ulaya Ahdiani Ulaya Ahdiani Ulaya Ahdiani Ulfah Yuraida Ulfah Yuraida Witriani Witriani Wiwik Handayani Yuliansyah, Herman Yunita Tri Hernawati Yuraida, Ulfah Zainal Ihsanul F