Garuda - Garba Rujukan Digital

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

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

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

The availability of parking lots is a must for perkatoran, shopping centers (malls), universities and others.Ã‚Â 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.Ã‚Â 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

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

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.

UI/UX Design Of Mobile-Based Pharmacy Application Using Design Thinking Method Suryani, Suryani; Nurdiansah, Nurdiansah; Faizal, Faizal; Nirwana, Nirwana; Johanis, Andrew Ridow; Marsa, Marsa; Pratama, Arkjun Yudistira
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2811

Pharmacy is a public facility that supplies, distributes, and serves medicine needs. Based on observations, Rania Farma Pharmacy is one of the pharmacies that still uses conventional methods of medicine management. The Pharmacist Assistant has to write down medicine stocks and transactions in a book, calculate sales with the help of a calculator, and monthly reporting by inputting daily sales in the Microsoft Office Excel application which takes quite a long time. This process is prone to human error, such as calculation and recording errors, which can harm pharmacies and consumers. This research uses the Design Thinking method to design a mobile-based pharmacy application based on the User Interface (UI) and User Experience (UX). Then perform prototype analysis using the System Usability Scale (SUS). Design Thinking includes software development methods focusing on solving human-centered problems. Pharmacy information needs are collected through observation, interviews, and literature study. In designing this information system, it is hoped that it can help medicine management at the Rania Farma Pharmacy. In testing the prototype, the analysis used is the System Usability Scale (SUS). The results of the SUS value were 79.5, which was included in the Good category. Therefore the design of the Pharmacy application can be used and developed to become a better and more useful system for pharmacies.

Decision Support System for the Presidential Election of the Student Executive Board Using the Multi-Factor Evaluation Process Method Suryani, Suryani; Annah, Annah; Nurdiansah, Nurdiansah; Faizal, Faizal; Akbar Bahtiar; Hardi, Hardi
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3480

Student Executive Board is a student organization or executive institution found in every tertiary institution and can represent the existence of a tertiary institution. The student Executive Board is headed by the Student Executive Board President, who is assisted by the Secretary-General, three Coordinating Ministers, and several ministries that represent student needs. In carrying out its function as a forum for student aspirations to make changes (agents of change) in paradigm, emotional, intellectual, and religious values, the Student Executive Board requires student candidates who are in synergy with their vision and mission. The Student Executive Board Presidential Election is usually held every year. A decision support system (DSS) was built by implementing the Multi-Factor Evaluation Process (MFEP) method to easily and efficiently elect the Student Executive Board President quickly and efficiently. The criteria used are communication skills (C1), leadership attitude (C2), vision and mission (C3), skills (C4), and organizational experience (C5). Each criterion is weighted where the total weight of all criteria equals 1. Next, calculate the evaluation weight value (EW), total evaluation weight (TEW), and ranking. The research results show that alternative 7 (A7), with the highest score of 4.35, is the student candidate with the top ranking, meaning A7 is the most recommended to be elected as President of the Student Executive Board. With this DSS, we can provide appropriate recommendations for Student Executive Board Presidential candidates and assist universities and students in carrying out the selection process quickly and efficiently.

PENGARUH SEDIMEN TERHADAP KAPASITAS SALURAN SEKUNDER PADA JARINGAN IRIGASI AWO KABUPATEN WAJO Karim, Nenny; S. Kuba, Muhammad Syafa'at; Irwan, Muhammad Ahlil Khairi; Nurdiansah, Nurdiansah; Wangsa, Fithriyah Arief
TEKNIK HIDRO Vol. 17 No. 1 (2024): Teknik Hidro Februari 2024
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/th.v17i1.14363

Daerah Irigasi Awo Kecamatan Pitumpanua Kabupaten Wajo sejak lama sudah ada namun tidak pernah dilakukan pemeliharaan sehingga menimbulkan banyaknya sedimen yang mengendap pada dasar saluran yang menyebabkan terjadinya perubahan dimensi saluran dari dimensi awal saluran yang secara tidak langsung mengakibatkan kurang optimalnya kinerja saluran. Tujuan penelitian ini untuk mengetahui berapa besar perubahan kapasitas debit saluran dan berapa besar volume sedimen yang ada pada saluran sebagai masukan untuk melakukan pemeliharaan. Penelitian menggunakan metode kuantitatif karena data yang diolah berupa angka sebagai alat untuk menganalisis mengenai hal yang ingin dicapai. Sedimentasi pada saluran sekunder mempengaruhi kapasitas saluran dimana debit rencana pada saluran sekunder simpellu I sebesar 0,184 m3/det berubah menjadi 0,063 m3/det. Besar Sedimentasi pada saluran sekunder Simpellu I sebesar 45,611 m3 karena adanya sedimen sebesar itu maka mempengaruhi ukuran luasan penampang lintang saluran dimana luas penampang lintang saluran awal sebesar 0,50 m2 menjadi 0,21 m2. Maka dari itu perlu adanya pemeliharaan secara rutin dengan jangka waktu tertentu meliputi pengerukan dan pembersihan pada saluran.

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

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.

PELATIHAN PEMBUATAN ECOMMERCE DAN MANAJEMEN PADA KOPERASI SERIKAT PEKERJA MERDEKA INDONESIA (KOSPERMINDO) Tumiwa, Joseph; Susanto, Cucut; Nurdiansah, Nurdiansah; Sulkifly, Muhammad; Nurhudayah, Nurhudayah
JURDIMAS : Jurnal Pengabdian Masyrakat Universitas DIPA Makassar Vol. 2 No. 2 (2024): Jurnal Pengabdian Masyarakat (JURDIMAS)
Publisher : JURDIMAS : Jurnal Pengabdian Masyrakat Universitas DIPA Makassar

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

Kospermindo merupakan perusahaan yang bergerak dibidang perdagangan rumput laut. Berdiri pada tahun 1999. Bergerak dalam memberdayakan dan mengembangkan budidaya rumput laut di wilayah Sulawesi Selatan dan Sulawesi Tengah dengan pembinaan dan pengembangan kelompok tani budidaya rumput laut yang berbasispada Klaster Industri. Berdasar pada permasalahan yakni sistem pengarsipan surat yang masih dilakukan secara manual dibuku besar.Menurut kami hal ini kurang efisien karena dapat beresiko kehilangan data kerusakan data dan penumpukan data. Selain itu membutuhkan waktu lama pada saat mencari kembali data secara menual karena harus membacanya satu persatu. Luaran dari kegiatan ini adalah Berdasar hasil maka ditarik kesimpulan bahwa pada kantor kospermindo yakni sistem pengarsipan surat yang masih dilakukan secara manual dibuku besar. Menurut kami hal ini kurang efisien karena dapat beresiko kehilangan data kerusakan data dan penumpukan data.

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