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All Journal Jurnal Teknik Hidro PROtek : Jurnal Ilmiah Teknik Elektro ILKOM Jurnal Ilmiah Jurnal Teknologi Terpadu Building of Informatics, Technology and Science JIKA (Jurnal Informatika) Community Development Journal: Jurnal Pengabdian Masyarakat Indonesian Journal of Engagement, Community Services, Empowerment and Development (IJECSED) Journal Peqguruang: Conference Series Indonesian Collaboration Journal of Community Services (ICJCS) Transformasi Ceddi Journal of Education Jurnal Pengabdian Masyarakat (JURDIMAS)
Nurdiansah, Nurdiansah
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Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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PKM PENGEMBANGAN MEDIA PEMBELAJARAN BERBASIS CHATGPT DI SMKN 6 TAKALAR Hardi, Hardi; Khadafi, Muhammad; Hasryif, Hasryif; Susanto, Cucut; Nurdiansah, Nurdiansah
Indonesian Collaboration Journal of Community Services (ICJCS) Vol. 4 No. 4 (2024): Indonesian Collaboration Journal of Community Services
Publisher : Yayasan Education and Social Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53067/icjcs.v4i4.182

Abstract

Community Service Research is intended as a form of approach offered to overcome the problems that exist at SMKN 6 Takalar. The problem that is often faced by teachers at SMKN 6 Takalar is in the process of teaching students. The ability of teachers to search for teaching materials using the GPT Chat (Generative Pre-Trained Transformer) application is currently still not used, especially by teachers at SMAN 6 Barru, due to limited knowledge in managing it to teach students. Training in creating AI (Artificial Intelligence) based teaching materials as a means of transferring subjects using the ChatGPT application. This learning media is an activity to optimize teaching and learning for students at SMKN 6 Takalar. With the current acceleration of technological development, if a teacher still uses teaching techniques manually, it will be left behind and boring for a student. Without training activities that are constructive in nature for both personal and group interests, it will result in lagging behind in utilizing animation media as a means for teaching. From the PKM training on AI-based learning media (ChatGPT) at SMKN 6 Takalar, it can be concluded that providing an Introduction to Learning Media and an Introduction to ChatGPT along with other tools is very effective and successful. Meanwhile, for practical activities: Making learning materials for each participant according to their lesson and determining the target students being taught so they can understand the lesson. All the activities trained have gone well and really helped the learning and teaching of SMKN 6 Takalar teachers
Application of General Regression Neural Network Algorithm in Data Mining for Predicting Glass Sales and Inventory Quantity Suryani, Suryani; Intan, Indo; Mochtar Yunus, Farhan; Haris, Adammas; Faizal, Faizal; Nurdiansah, Nurdiansah
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.v15i2.1562.229-239

Abstract

FF Jaya Glass is a shop that supplies and installs 3 mm to 12 mm glass. The store obtained glass from suppliers to be processed in shape and size according to customers’ order. After completing the customer's order, the shop worker will install the glass at the requested location. Unfortunately, currently stores do not utilize sales data to predict sales either manually or by utilizing technology. As a result, the store cannot predict when the number of glass orders will increase or decrease. In addition, errors often occur when ordering glass for the next period. As a result, stores often run out of glass supplies due to the large number of glass orders so that the achievement of profits is not optimal. This study aims to identify sales variables in glass sales data and build a general regression neural network model as a data mining method. In addition, this study aims to iterate to find the best value in the sales data training process, design and create applications according to user needs, and conduct system validation tests. The general regression neural network method is used to predict sales. The results of this study indicate that the application of general regression neural networks can be used to predict sales. This will make it easier for the store to provide glass supplies in the coming months with an accuracy of 98.1%.
Rekayasa Tempat Parkir Kendaraan Mobil Berbasis Teknologi Informasi Husain, Husain; Akhriana, Asmah; Herlinda, Herlinda; Ahmad, Ahmad; Nurdiansah, Nurdiansah; Tutang, Risma Putri Willy
PROtek : Jurnal Ilmiah Teknik Elektro Vol 9, No 2 (2022): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v9i2.4203

Abstract

The availability of parking lots is a must for perkatoran, shopping centers (malls), universities and others.  Along with the ability of the public to have vehicles, both two-wheeled and four-wheeled vehicles, it makes parking spaces difficult and takes a long time to get a parking space, this is because there is no service regarding information on the availability of empty parking slots, so there is no marker to know whether the parking lot is fully filled or not.  It is necessary to design a parking monitoring system tool, which aims to provide information on the availability of parking slots. Using the application design method by utilizing several object detection sensors including the Infrared Proximity Sensor and using the Message Queuing Telemetry Transport (MQTT) protocol which functions as a wireless communication protocol. The results of this study show that the system works as expected, that the sensor can detect parking objects that are filled or still empty and the system data communication also works well, namely the sensor sends data to wemos D1, then sent to the MQTT Broker (server) then resumes to wemos D1 and then the data is sent to the message viewer device, namely monitors and LEDs. The LED light as an indicator gives a message, if the LED lights up in green, it means that the parking lot is not filled and if the LED lights up red, it means that the parking slot is filled.
TRANSFORMASI DIGITAL YAYASAN MELALUI AI DAN CLOUD: STUDI KASUS DI ASHABUL KAHFI PAREPARE Aini, Nurul; Suryani, Suryani; Faizal, Faizal; Heriadi, Herman; Aisa, Sitti; Akhriana, Asmah; Nurdiansah, Nurdiansah; Ahyuna, Ahyuna; Hasmin, Erfan; Arwansyah, Arwansyah; Syamsudddin, Sadly; SY, Hasyrif
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 6 No. 3 (2025): Volume 6 No 3 Tahun 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v6i3.45597

Abstract

Kegiatan pengabdian ini bertujuan untuk meningkatkan literasi digital pengurus dan pendidik Yayasan Ashabul Kahfi Parepare melalui pelatihan penggunaan Google Drive dan ChatGPT. Metode yang digunakan meliputi pendidikan masyarakat, pelatihan berbasis praktik langsung, serta difusi ipteks. Peserta diberikan penyuluhan mengenai pentingnya transformasi digital, kemudian dilatih dalam pengelolaan dokumen berbasis cloud dan pemanfaatan AI untuk menyusun materi administrasi. Hasil evaluasi pre-test dan post-test menunjukkan peningkatan signifikan pada pemahaman dan keterampilan peserta, yang diperkuat dengan uji t-test (p < 0,001). Selain itu, peserta menunjukkan antusiasme tinggi dan respons positif terhadap materi pelatihan. Kegiatan ini berhasil meningkatkan kapasitas digital yayasan dan memberikan dampak nyata dalam mendukung pengelolaan organisasi yang lebih efisien dan adaptif terhadap perkembangan teknologi.
ANALISIS PERILAKU PEMBELIAN AUDIENS TIKTOK MELALUI KLASTERISASI PREFERENSI KONTEN DENGAN ALGORITMA K-MEANS Irmawati, Irmawati; T, Husain; Santi, Santi; nurdiansah, nurdiansah; herlinda, herlinda; kasmawaru, kasmawaru
TRANSFORMASI Vol 21, No 1 (2025): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v21i1.432

Abstract

The rapid growth of TikTok as a digital marketing platform has created a need to understand how content variation influences user purchasing behavior. This study is motivated by the lack of information regarding audience responses to live streaming content, particularly in the context of purchase decision-making. The objective of this research is to identify audience segmentation patterns on TikTok based on content preferences and how these relate to purchasing decisions, using the account @takiboutique as a case study. A quantitative research approach was employed, utilizing an online survey distributed to 99 randomly selected respondents. Data were analyzed using the K-Means clustering algorithm to group respondents based on dominant factors influencing their buying decisions. The clustering results revealed three main audience segments. The first cluster (53%) prioritizes creative and interactive marketing strategies. The second cluster (34%) considers price as the most influential factor in purchasing decisions. The third cluster (12%) highlights product quality as the primary consideration. These findings indicate that audience preferences for promotional content are diverse, requiring marketing communication strategies to be tailored to the characteristics of each segment. The application of the K-Means algorithm has proven effective in profiling consumers to support more adaptive and targeted digital marketing strategies.
Co-Authors Abdul Rauf Ahmad Ahmad Ahyuna Ahyuna, Ahyuna Aini Nurul Akhmad Qashlim, Akhmad Akhriana, Asmah Ardimansyah Ardimansyah Arwansyah Arwansyah Asran, Asran Bahtiar, Akbar Cucut Susanto, Cucut Dani Rachman, Suci Rahma Djamro, Risnayanti Andi Erfan Hasmin Faizal Faizal, Faizal Fithriyah Arief Wangsa Hardi Hardi, Hardi Haris, Adammas Harlina, Sitti Hasriani Hasriani, Hasriani Hasryif, Hasryif Hasyrif SY Heriadi, Herman Herlinda Herlinda, Herlinda Husain Husain Indo Intan Irmawati Irmawati Irmawati Irwan, Muhammad Ahlil Khairi Kasmawaru, Kasmawaru KHADAFI, MUHAMMAD Kunda, Asri Marsa, Marsa Michael Octavianus Mochtar Yunus, Farhan Mudarsep, Mudarsep Nenny, Nenny Nirwana, Nirwana Rahman, Baharuddin S. Kuba, Muhammad Syafa'at Santi Santi Sitti Aisa, Sitti Sopyan, Edy Sri Wahyuni Suryani Suryani Suryani Suryani Syafruddin Syafruddin Syamsudddin, Sadly T, Husain Tamsir, Nurlindasari Thabrani R, Thabrani R Tutang, Risma Putri Willy Usman Usman Usman W Soetikno, Y Johny