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All Journal International Journal of Advances in Intelligent Informatics JOIV : International Journal on Informatics Visualization Journal TEPAT: Teknologi Terapan untuk Pengabdian Masyarakat Jurnal Penelitian Enjiniring Fakultas Teknik Unhas JURNAL SIPISSANGNGI: Jurnal Pengabdian Kepada Masyarakat
Areni, Intan Sari
Hasanuddin University
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Engineering Public Health Other

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Sistem Deteksi Lubang pada Pedesterian dengan Teknik Pengolahan Citra Areni, Intan Sari; Amirullah, Indrabayu; Nurtanio, Ingrid; Bustamin, Anugrayani; Rifaldi, Ahmad
Jurnal Penelitian Enjiniring Vol 23 No 2 (2019)
Publisher : Center of Techonolgy (COT), Fakultas Teknik, Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (424.283 KB) | DOI: 10.25042/jpe.112019.04

Abstract

Pothole Detection System on Pedesterian using Image Processing Techniques. The pedestrian areas in Indonesia are still far from optimal in facilitating the users or the pedestrians. Potholed pedestrian areas are found in many parts of the street. This issue can harm pedestrians, especially blind people. For this reason, research has been carried out to create a system that can detect and estimate hole distances by processing images using mono cameras that can help blind people. The methods used to detect holes are the Threshold + Blob Analysis method and the HSV method. The obtained results indicate the level of accuracy of hole detection using the Threshold + Blob Analysis method is better than the HSV method. The average accuracy level of Threshold + Blob Analysis is 88.91%, while for the HSV method is 86.82%.
Klasifikasi Kematangan Stroberi Berbasis Segmentasi Warna dengan Metode HSV Areni, Intan Sari; Amirullah, Indrabayu; Arifin, Nurhikma
Jurnal Penelitian Enjiniring Vol 23 No 2 (2019)
Publisher : Center of Techonolgy (COT), Fakultas Teknik, Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (309.517 KB) | DOI: 10.25042/jpe.112019.03

Abstract

Classification of Strawberry Maturity Based on Color Segmentation using HSV Method. Manual fruit maturity classification has many limitations because it is influenced by human subjectivity. Hence, the application of digital image processing and artificial intelligence becomes more effective and efficient. This study aims to create a classification system that automatically divides strawberry maturity into three categories, namely not ripe, half-ripe, and ripe. The process of identifying the level of fruit maturity is based on the color characteristics Red, Green, Blue (RGB) value of the image. The method used for color segmentation is Hue, Saturation, Value (HSV) and for the classification of strawberry maturity using the Multi-Class Support Vector Machine (SVM) algorithm with a Radial Basic Function (RBF) kernel. Strawberry image data was retrieved using the Logitech C920 camera. The dataset consisted of 158 images of strawberries. The results showed that the classification of strawberry maturity using the multi-class SVM algorithm with kernel parameters RBF cost (C) = 10 and gamma (γ) = 10-3 produced the highest accuracy of 97%.
Pengenalan Integrasi Budaya dan Matematika Melalui Media Edukasi 3D Puzzle Bola Ugi’ Suandi, Ahmad Yusuf; Putri Akhmad, Ummu Qalsum; ., Nurjannah; Lubis, Nurlatifah; Yudha, Muh. Reza Eka; Areni, Intan Sari
JURNAL TEPAT : Teknologi Terapan untuk Pengabdian Masyarakat Vol 6 No 2 (2023): Let us Collaborate for Community Issues
Publisher : Faculty of Engineering UNHAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/jurnal_tepat.v6i2.407

Abstract

Mathematics often becomes a less favored subject among elementary school students, including those at Inpres Borongrappo Elementary School in Gowa Regency, which is our partner in this Community Service activity. To address this issue, we have innovated by introducing an engaging learning medium in the form of a 3D miniature puzzle Bola Ugi’ implemented using the Realistic Mathematics Education (RME) method. This educational program aims not only to enhance students' curiosity and creativity but also to sharpen their motor coordination skills. The educational program primarily focuses on creating two-dimensional shapes from cardboard, calculating the volume of three-dimensional objects, and exploring the cultural significance of 'mappatettong bola' and 'mappalette bola.' Additionally, students assemble and color the 3D puzzle Bola Ugi’. The evaluation of activities in the form of a questionnaire to determine students' interest in learning mathematics and becoming acquainted with culture, as well as test models to determine students' level of understanding of mathematics and culture, which are administered before (pre-test) and after (pre-test) the educational program, respectively. The questionnaire results revealed that 16 students were more excited about learning mathematics and 15 students were more enthusiastic about learning about culture. Meanwhile, the exam results reveal a considerable increase in the number of correct responses in each question, indicating that the instruction increased pupils' comprehension of mathematics and culture. The educational program employing the 3D puzzle Bola Ugi’ as learning method significantly enhances motivation and comprehension of mathematics, as evidenced by the improved test scores and questionnaire responses.
Penerapan Game untuk Belajar Matematika Menyenangkan di Panti Asuhan Al-Khaerat Makassar ., Indrabayu; Warni, Elly; Nurtanio, Ingrid; Yohannes, Chystoporus; Alimuddin, A.Ais Prayogi; Bustamin, Anugrahyani; Areni, Intan Sari; Muslimin, Zaenab; Yusuf, Mukarramah; Mokobombang, Novy Nur R.A; Nurdin, Winati Mutmainnah; Anisah, Siti Nur
JURNAL TEPAT : Teknologi Terapan untuk Pengabdian Masyarakat Vol 6 No 2 (2023): Let us Collaborate for Community Issues
Publisher : Faculty of Engineering UNHAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/jurnal_tepat.v6i2.414

Abstract

Mathematics is one of the important subjects in the educational curriculum, but it is often considered difficult and boring by some children. This can be an obstacle in their learning process and academic development. Therefore, in an effort to help increase interest and achievement in learning mathematics and develop children's potential and talents, we as a service team from the Department of Informatics Engineering, Faculty of Engineering, Hasanuddin University feel the need to contribute by holding mathematics game socialization activities at Al-Khaerat Makassar Orphanage. The community service carried out at the Al-Khaerat Makassar Orphanage aims to provide new insights for students related to digital learning methods and materials within the scope of mathematics learning with a fun and interactive approach, it is hoped that students can feel more interested and enthusiastic in learning mathematics. The implementation of community service is divided into two stages, namely the socialization stage of learning methods by utilizing technology, in this case smartphones and the training stage of using mathematical educational game applications. The results of the analysis through pre-test and post-test questionnaires show that the use of the Mathology Game application has a significant impact on students mathematics learning in three main aspects, namely: comfort, easy, and understanding of the material.
SOSIALISASI APLIKASI KESEHATAN HARIAN BAGI TUNANETRA DI YAPTI MAKASSAR Areni, Intan Sari; Rahayu, Mesra; Indrabayu, Indrabayu; Ilham, Amil Ahmad; Bustamin, Anugrayani; Marindah, Tyanita Puti; Zaman, Baizul; Ifwan, Ichsanul Al
JURNAL SIPISSANGNGI: Jurnal Pengabdian Kepada Masyarakat Vol 4, No 2 (2024): Sipissangngi Volume 4, Nomor 2, Juni 2024
Publisher : Lembaga Penelitan dan Pengabdian Masyarakat, Universitas Al Asyariah Mandar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35329/jurnal.v4i2.5100

Abstract

Pengabdian masyarakat yang dilakukan di Yayasan Pembinaan Tunanetra Indonesia (YAPTI) di Makassar ini bertujuan untuk mensosialisasikan aplikasi netra sehat untuk memberikan pemahaman kepada sahabat Tunanetra. Aplikasi yang dikembangkan ini sekaligus menjadi media promosi Kesehatan khususnya bagi penderita disabilitas. Penggunaan teknologi seperti gawai berbasis teknologi pengenalan suara juga sudah lama digunakan oleh sahabat tunanetra yang ada di Yayasan Pembinaan Tunanetra Indonesia (YAPTI). Oleh karena itu, melalui aplikasi ini, diharapkan adanya kemudahan penyampaian informasi Kesehatan bagi mereka. Pelaksanaan pengabdian ini dilakukan dengan dua tahapan yaitu identifikasi kebutuhan pengguna dan sosialisasi aplikasi promosi Kesehatan pada perangkat mobile berbasis Android. Bentuk sosialiasi dalam kegiatan ini dengan berbagi wawasan terkait penggunaan aplikasi dan sekaligus menjadi ajang berbagi pengetahun tentang riset yang dilakukan pada Departemen Teknik Elektro dan Departemen Teknik Informatika Universitas Hasanuddin. Berdasarkan hasil sosialisasi yang dilakukan, pengguna dalam hal ini penyandang tunanetra merasa puas dengan aplikasi yang dikembangkan.
BIMBINGAN TEKNIS DAN PEMUTAKHIRAN TEKNOLOGI SMART CAMPUS Kitta, Ikhlas; Palantei, Elyas; Dewiani, Dewiani; Syafaruddin, Syafaruddin; Manjang, Salama; ARENI, Intan Sari; Wardi, Wardi
JURNAL SIPISSANGNGI: Jurnal Pengabdian Kepada Masyarakat Vol 4, No 1 (2024): Sipissangngi Volume 4, Nomor 1, Maret 2024
Publisher : Lembaga Penelitan dan Pengabdian Masyarakat, Universitas Al Asyariah Mandar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35329/jurnal.v4i1.4893

Abstract

Smart   city mengacu pada konsep pengelolaan kota yang efisien, berkelanjutan, dan inovatif melalui pemanfaatan teknologi ICT terkini. Penggunaan sensor, big data, dan kecerdasan buatan (AI) memungkinkan pemantauan real-time terhadap lalu lintas, polusi udara, penggunaan energi, dan layanan publik lainnya. Tujuan utama dari konsep smart   city adalah meningkatkan kualitas hidup warga. Pada sisi lainnya, teknologi smart   campus adalah konsep yang mengintegrasikan teknologi ICT canggih ke dalam lingkungan universitas atau institusi pendidikan tinggi. Melalui teknologi smart   campus, pendidikan tinggi tidak lagi terbatas pada ruang kelas fisik konvensional. Penggunaan e-learning, aplikasi mobile, dan platform pembelajaran online memungkinkan mahasiswa untuk mengakses materi pelajaran kapan saja, dan di mana saja. Selain itu, teknologi ini juga dapat digunakan untuk meningkatkan pengalaman mahasiswa di luar kelas, seperti sistem manajemen informasi akademik yang terintegrasi, dan pusat kegiatan ekstrakurikuler yang terotomatisasi. Dalam rangka mendukung konsep smart   city dan smart   campus tersebut, Universitas Hasanuddin hadir memberikan solusi dan inovasi untuk menunjang proses belajar yang lebih inovatif dan atraktif di kampus.    Dengan berbagai peralatan smart   campus yang telah diriset, Universitas Hasanuddin juga mengajak perguruan tinggi lainnya untuk mulai beralih kedalam sistem smart   campus. Terdapat peningkatan pemahaman sekitar 67% dari peserta kegiatan bimbingan teknis dan pemutakhiran teknologi smart   campus yang berkolaborasi dengan pihak IAIN Bone. Data statistik ini mengkonfirmasi aspek urgensi kegiatan sejenis untuk secara berkelanjutan ditradisikan pada masa-masa yang akan datang.
Multi-Head Attention in Residual Networks to Improve Coral Reef Structure Classification Nuranti, Eka Qadri; Intizhami, Naili Suri; Tassakka, Muhammad Irpan Sejati; Areni, Intan Sari; Al Ghozy, Osama Iyad; Jefri, Muhammad Rivaldi
JOIV : International Journal on Informatics Visualization Vol 8, No 2 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.2.2392

Abstract

Residual Networks (ResNet) mark a crucial advancement in convolutional neural network architecture, effectively tackling challenges like vanishing gradients for improved pattern detection in various image classification tasks. This study introduces a novel adaptation of the ResNet50 architecture that integrates a multi-head attention mechanism (MHA), coined MHA-ResNet50, for discerning coral reef structures within images. Strategic modifications are applied to the input of each stage, leading to the development of an MHA block, which is augmented by separable convolution. The deliberate inclusion of the MHA block at various stages in identity-block Resnet50, in adherence to multiscale gate principles, precedes its traversal through fully connected layers. Furthermore, we implemented the Stratified K-fold concept to ensure that each fold has a comparable proportion of each class. We successfully assessed the efficacy of the MHA-Resnet50 model in several MHA-block placement scenarios and saw improvements in the accuracy of coral reef structure predictions. The most optimal results were achieved by incorporating four attention blocks (MHA-ResNet50-4), yielding an accuracy rate of 85.23% in recognition of coral structure images, comprising a mere 409 images. This model showcases adaptability to small datasets while delivering commendable performance. The ResNet50 architecture undergoes enhancement in our proposed model by integrating multi-head attention, separable convolution, and multiscale gate principles. The MHA-ResNet50 model substantially advances accurately predicting coral reef structures, demonstrating adaptability to limited datasets. Future lines of this research involve digging deeper into the model design and using more significant amounts and classes of data to strengthen a more comprehensive range of generalizations.
Fermented and Unfermented Cocoa Beans for Quality Identification Using Image Features Basri, Basri; Indrabayu, Indrabayu; Achmad, Andani; Areni, Intan Sari
JOIV : International Journal on Informatics Visualization Vol 8, No 3 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3.2578

Abstract

Fermented cocoa bean products are one of the high-quality requirements of the cocoa processing industry. On an automated industrial scale, early identification of cocoa bean quality is essential in the processing industry. This study aims to identify the condition of quality cocoa beans based on fermentation and non-fermentation characteristics. This study applies analysis based on static images taken using a camera with a distance variation of 5 cm, 10 cm, and 15 cm in both classes, with 500 image data each. The Feature extraction Approach uses the Oriented Gradient (HOG) method with a Support Vector Machine (SVM) classification technique. Image analysis of both object classes was also performed with a color change to show the dominance of the color pattern on the skin of the cocoa beans to be analyzed. The results showed that fermented cocoa beans show a color pattern and texture that tends to be darker and coarser than non-fermented cocoa beans. Computational results with performance analysis using Receiver Operating Characterisic (ROC) on both classes showed the results that the distance of 5 cm and 15 cm has 100% accuracy, but based on the best performance, comprehensively seen in terms of Precision, Recall, and F1-Score shows the best value is at a distance of 15 cm. The results of this research based on the literature review conducted have better achievements, thus enabling further research on the development of conveyor models with real-time video data for automation systems.
Pemanfaatan Solar Cell pada Sistem Pertanian Hidroponik Cerdas di Samata Green House Group Indonesia, Kabupaten Gowa Muslimin, Zaenab; Ahmad, Andani; Areni, Intan Sari; ., Dewiani; Akil, Yusri Syam; Salam, Ejah Umraeni; ., Wardi; Anshar, Muh; Mayasari, Fitriyanti; Achmad, Andini Dani
JURNAL TEPAT : Teknologi Terapan untuk Pengabdian Masyarakat Vol 7 No 2 (2024): Kolaborasi yang Kuat untuk Kekuatan Kemasyarakatan
Publisher : Faculty of Engineering UNHAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/jurnal_tepat.v7i2.509

Abstract

Hydroponics is a planting technique using water-based nutrient solutions, not through soil media, like conventional farming. This hydroponic system solves the problems arising from soil-based farming that requires plowing and weeding and is susceptible to pests, climate, and the need for large land areas. However, to produce quality soil, the hydroponic system requires monitoring of nutrients, temperature, humidity, water content, pH, and light. Developing a smart hydroponic system or a system based on Artificial Intelligence of Things (IoT) can guarantee these parameters online or in real-time monitoring. The next problem is the need for a continuous and reliable supply of electrical energy so that the built AIoT-based hydroponic system can work optimally. Disruption of electrical continuity will affect the crop yields from this system. Therefore, the Community Service (PkM) activity from the Department of Electrical Engineering, Hasanuddin University, conducted socialization of the use of solar cells (solar panels) in the AIoT-based smart hydroponic system, which is a solution to the problem of the continuity of electricity supply at the Samata Green House (SGH) Group, as a partner of the activity, which still fully uses electricity from PLN. Based on the results of quantitative analysis of pre-test (before socialization) and post-test (after socialization) measurements by activity participants, an increase in the level of understanding of participants was obtained, which was initially 11-55% "quite understanding" to "understanding" of the components of the Solar Power Plant (PLTS) system, as well as how to operate and maintain PLTS, to 100% of participants "quite understanding" to "very understanding" regarding these parameters. This indicates that this activity has achieved the expected targets.
Socialization of Buginese Language E-learning Application with Lontara Script Translation Feature at SMPN 2 Pangkajene Nurtanio, Ingrid; Yohannes, Christoforus; Bustamin, Anugrayani; Mokobombang, Novy Nur R A; Areni, Intan Sari; Tahir, Zulkifli; Adnan, Adnan; Marindah, Tyanita Puti; Paundu, Ady Wahyudi; Nurdin, Arliyanti; Musyfirah, Kamtina; Hikmah, Nur; Mahdaniar, Mahdaniar
JURNAL TEPAT : Teknologi Terapan untuk Pengabdian Masyarakat Vol 7 No 2 (2024): Kolaborasi yang Kuat untuk Kekuatan Kemasyarakatan
Publisher : Faculty of Engineering UNHAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/jurnal_tepat.v7i2.528

Abstract

Preservation of indigenous languages, especially Bugis with Lontara script, is an important challenge in the digital era. In school activities, mastery and learning of local languages ​​are associated with one subject, namely Muatan Lokal. However, the main problem that is often encountered is the use of indigenous languages ​​that are increasingly minimally socialized, thus reducing students' interest and motivation in learning this local language, especially in SMP Negeri 2 Pangkajene Class VII. This community service aims to be a forum for socializing research results in the Department of Informatics and Electrical Engineering, Hasanuddin University in the form of an E-learning application that facilitates interactive learning of Bugis with Lontara script. In addition, this activity is expected to contribute to the advancement of knowledge and technology by providing E-learning tools, in the form of mobile applications, to support learning both at school and at home. The process of introducing this application involves quantitative analysis in the form of an initial survey (pre-test) which includes the user experience (in this case students) when learning Bugis and then ends with a final survey (post-test) and System Usability Scale (SUS) testing to determine the student's experience when using this Bugis language application. The results obtained indicate the formation of Bugis language learning motivation after participants are familiar with this E-learning application with an increase of 52% from 32% less motivated to 84% very motivated. In addition, this Bugis language E-learning application also reached an acceptable level based on SUS with a value of 74.
Co-Authors ., Dewiani ., Wardi Adnan Adnan Ahmad, Andani Akil, Yusri Syam Al Ghozy, Osama Iyad Alimuddin, A.Ais Prayogi Amil Ahmad Ilham Amirullah, Indrabayu Andani Achmad Andini Dani Achmad, Andini Dani Anshar, Muh Arifin, Nurhikma Basri Basri Bustamin, Anugrahyani Bustamin, Anugrayani Dewiani Dewiani Eka Qadri Nuranti Elly Warni Fitriyanti Mayasari Ida Ayu Putu Sri Widnyani Ifwan, Ichsanul Al Ikhlas Kitta Indrabayu . Indrabayu Indrabayu Ingrid Nurtanio Jefri, Muhammad Rivaldi Lubis, Nurlatifah Mahdaniar, Mahdaniar Marindah, Tyanita Puti Mokobombang, Novy Nur R A Mokobombang, Novy Nur R.A Musyfirah, Kamtina Naili Suri Intizhami Nur Hikmah Nurdin, Arliyanti Nurdin, Winati Mutmainnah Nurjannah . Palantei, Elyas Paundu, Ady Wahyudi Putri Akhmad, Ummu Qalsum Raden Wirawan Rahayu, Mesra RIFALDI, AHMAD Salam, Ejah Umraeni Salama Manjang Suandi, Ahmad Yusuf Syafaruddin Syafaruddin Tassakka, Muhammad Irpan Sejati Wardi Wardi Yohannes, Christoforus Yohannes, Chystoporus Yudha, Muh. Reza Eka Yusuf, Mukarramah Zaenab Muslimin Zahir Zainuddin Zulkifli Tahir