Garuda - Garba Rujukan Digital

Analisis Sistem Cerdas Pengambilan Keputusan untuk Perawatan Mesin dengan Penggabungan Metode Algoritma Genetika dan Decision Making Grid Andani Ahmad; Nur Indha Mulyasari; Zulkifli Tahir; Anugrahyani -
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2013
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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

Manajemen pemeliharaan merupakan salah satu faktor penting untuk menunjang keberhasilan sebuah industri. Agar sebuah industri memiliki tingkat keuntungan yang besar maka diperlukan sebuah sistem pemeliharaan yang tepat untuk meminimalisir biaya yang dikeluarkan. Pada saat ini telah banyak fungsi-fungsi pemeliharaan dengan bermacam-macam model optimasi telah di usulkan dalam manajemen pemeliharaan. Tetapi, hanya sedikit model yang sesuai dan telah di implementasikan ke Industri Kecil dan Menengah (IKM). Permasalahan data dan kerancuan antara teori manajemen pemeliharaan dan prakteknya sering menjadi alasan utama. Di dalam penelitian ini, model optimasi yang baru diusulkan untuk menjalankan proses komputasi dengan menjadikan frekuensi kerusakan dan rentang waktu kerusakan sebagai variabel penentu sebuah pemeliharaan. Penelitian ini menggabungkan metode “Decision Making Grid” (DMG) dan Algoritma Genetika (GA). Metode DMG membutuhkan data history kerusakan mesin sehingga tidak dapat diterapkan pada industri baru maupun industri lama yang tidak memiliki data history. Untuk menangani permasalahan tersebut dibutuhkan sebuah sistem yang dapat digunakan tanpa adanya data history dan Algoritma Genetika digunakan untuk memecahkan permasalahan tersebut. Dengan adanya penelitian ini diharapkan setiap IKM dapat memanfaatkan sistem yang dihasilkan untuk membantu memberikan pilihan manajemen pemeliharaan yang tepat untuk setiap mesin di dalam industrinya.

Digital Image Processing for Detecting Industrial Machine Work Failure with Quantization Vector Learning Method Muhammad Rafli Rasyid; Zulkifli Tahir; nfn Syafaruddin
Jurnal Pekommas Vol 4, No 2 (2019): Oktober 2019
Publisher : BBPSDMP KOMINFO MAKASSAR

Todays, digital image processing is widely used in various fields to facilitate humans in doing work by analyzing videos or images for use in decision making in the industrial world. The use of industrial machine technology is one of the most important factors in efforts to facilitate human work, but an industrial machine is inseparable from work failure that can hinder the production process and cause harm to the industry. This study aims to detect a failure in industrial machinery by using video data of industrial machine movements recorded using a webcam camera. For the preprocessing stage, the image is resized then converted to grayscale imagery and segmented using the thresholding method, then morphological operations are performed with an opening operation, feature extraction is done by changing the binary image into a vector data that is used as input data in the classification process using the Learning Vector Quantization Neural Network Algorithm (LVQ NN) version 1. The results showed the results of the detection of machine working errors can be done well with an accuracy value of 94.24% in training and 92.38% in the testing phase.

Critical Section Overhead Reduction for OpenMP Program by Nesting a Serial Loop to Increase Task Granularity of Parallel Loop Adnan Adnan; Intan Sari Areni; Zulkifli Tahir
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 2 (2022): April 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

This paper presents a simple method to reduce performance loss due to a parallel program's massive critical sections of parallel numerical integration. The method transforms a fine-grain parallel loop into a coarse grain parallel loop that nests a sequential loop. The coarse grain parallel loop is by nesting a loop block to make task granularities coarser than that naive one. In addition to the overhead reduction, the method makes the parallel work fraction significantly more significant than the serial fraction. As a result, nesting a serial loop within a parallel loop improves the parallel program's performance. Compared to the naïve method, which does not scale the performance of a parallel program of numerical integration, the nesting serial loop method scales a parallel program up to 3.26 times a fold relative to its sequential program on a quad-core processor. This result shows that the proposed method makes the parallel program much faster than the naïve method.

Peningkatan Kapasitas Mengajar Guru menggunakan Media Pembelajaran Digital di SDN 14 Bonto-Bonto Kabupaten Pangkep Anugrayani Bustamin; Indrabayu -; Ingrid Nurtanio; Christoforus Yohannes; Zulkifli Tahir; A. Ais Prayogi
JURNAL TEPAT : Teknologi Terapan untuk Pengabdian Masyarakat Vol 2 No 1 (2019): Membangun Masyarakat yang Kuat dan Ulet
Publisher : Faculty of Engineering UNHAS

The application of digital technology can provide solutions to community problems, especially in the education sector. But there are still many teachers whose teaching abilities have not been supported by these digital technologies. SDN 14 Bonto-Bonto located in Pangkep Regency is the place for the digital learning training process as well as a form of community service carried out by the team of the Informatics Engineering Department of the Faculty of Engineering, Hasanuddin University. This activity is also a venue for socialization and introduction of research results from lecturers and students. Digital learning models can be divided into 2 namely electronic based learning and internet based. Some digital learning methods taught include Augmented Reality, Mind Mapping, and Educational Games. Augmented Reality is a technology that involves overlaying computer graphics in the real world, where three-dimensional virtual worlds can be brought into real-world environments in real-time. Learning to use AR makes students' visual appeal in learning as well as educational games. Mind Mapping is a learning method in the form of visualizing ideas, thoughts or plans to form interconnected diagrams. With this method, students are trained to think structured and easy to solve problems. Mind mapping application itself has been widely available and can be downloaded for free. The training in developing digital learning media that is held is expected to help teachers and students understand the concepts while at the same time foster motivation in learning. This service activity also adds insight to teachers about new learning methods that can make the learning process more enjoyable.

Sosialisasi Penggunaan Game Matematika Bagi Siswa Madrasah Ibtidaiyah Al Hidayah Makassar Indrabayu -; Ingrid Nurtanio; Christoforus Yohannes; Zulkifli Tahir; Ais Prayogi; Anugrayani Bustamin; Riny Yustica Dewi; Rizka Irianty
JURNAL TEPAT : Teknologi Terapan untuk Pengabdian Masyarakat Vol 3 No 2 (2020): Penguatan Aplikasi Teknologi untuk Masyarakat pada Masa Pandemi
Publisher : Faculty of Engineering UNHAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/jurnal_tepat.v3i2.127

Mathematics is an important subject taught in schools. Learning mathematics gives students' the ability to reason and develop their mindset. However, many students feel less interested in mathematics. This results in students’ poor learning achievesment. One solution to increase student interest in learning is to use tools that utilize technology. The community service carried out at Madrasah Ibtidaiyah Al Hidayah Makassar aims to provide new insights for students regarding digital learning methods and materials at school. It also aims to foster motivation to learn mathematics, which is often seen as a fearful subject by students. The implementation of this community service is divided into 2 stages, which are the stage of socializing the technology-based learning methods, in this case using android smartphones, and the training stage on how to use the Mathology educational applications. This community service is also a venue for disseminating the research regarding the application ofinteractive learning media from Department of Informatics Engineering, Engineering Faculty, UNHAS.

Sosialisasi Sistem Informasi Berbasis Android Untuk Penyuluhan Faktor Resiko Penyakit Jantung Koroner di Kantor Kecamatan Bontomarannu, Kabupaten Gowa Zulkifli Tahir; Amil Ahmad Ilham; Muhammad Niswar; Adnan -; Zahir Zainuddin; Iqra Aswad; Zaenab -; Muhammad Alief Fahdal Imran Oemar
JURNAL TEPAT : Teknologi Terapan untuk Pengabdian Masyarakat Vol 4 No 2 (2021): Community Empowerment through Health Awareness in the New Normal
Publisher : Faculty of Engineering UNHAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/jurnal_tepat.v4i2.200

The Android is a Linux-based operating system designed for devices such as smartphones and tablet computers. An android-based information system has been developed through research work from the Department of Informatics, Hasanuddin University, together with a Clinical Nutrition Doctor, namely the application of detection for coronary heart disease. This is based on the fact that coronary heart disease is one of the most common cardiovascular causes of death in the world, claiming about 17.9 million people every year. The system can be used by the general public using a smartphone or tablet computer. In this service, we have carried out socialization to the public about this application as well as providing information about risk factors for coronary heart disease at the Bontomarannu sub-district office, Gowa Regency. The public is also given the application to be installed on their respective smartphone or tablet computers. The public around the sub-district was very enthusiastic about participating in this socialization event. With this socialization, the public can find out how to use the application and prepare for the prevention of the factors of coronary heart disease, what should be maintained or avoided.

Strategi Pembelajaran Menggunakan Metaverse Bagi Guru Di Madrasah Aliyah Al Hidayah Indrabayu Indrabayu; Zahir Zainuddin; Ingrid Nurtanio; Amil Ahmad Ilham; Muhammad Niswar; Adnan Adnan; Elly Warni; Zulkifli Tahir; Ady Wahyudi Paundu; Christoforus Yohanes; Mukarramah Yusuf; A.Ais Prayogi; Anugrayani Bustamin; Iqra Aswad; Muhammad Alief Fadhal Imran Oemar; Intan Sari Areni; Zaenab Muslimin; Rieka Zalzabillah Putri; Aulia Darnilasari
JURNAL TEPAT : Teknologi Terapan untuk Pengabdian Masyarakat Vol 5 No 2 (2022): Mengembangkan Kehiodupan Masyarakat melalui Kesatuan dan Kekuatan
Publisher : Faculty of Engineering UNHAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/jurnal_tepat.v5i2.287

The rapid development of digital technology makes the world of education must continue to be dynamic and develop in order to produce adaptive and competent generations. Previously in conventional teaching methods, the material was taught by the teacher to students in the classroom orally or by telling students to read books to watch videos. However, with the online school method in Metaverse, it is hoped that it can provide clear explanations regarding material that is difficult to explain through books or videos. Metaverse is a future technology in the form of a virtual space where people from all over the world can gather and communicate using virtual technology. With the presence of a virtual world like this Metaverse, the world of education will be greatly helped. For example, when learning takes place, students can see firsthand how the machine works without having to cut it, the anatomy of the body without having to cut live animals or visiting a historical place without having to flock to ride buses all the way to the place they want to go, see phenomena and direct natural disasters, or even school buildings can also be built majestically in the Metaverse world. There are so many conveniences that we find when we use the Metaverse as a learning innovation in the future. Community service carried out at Madrasah Aliyah Al Hidayah, aims to provide insight into educational applications that will be used in the Metaverse so as to facilitate interaction between teachers at MA Al Hidayah and students, as well as provide enormous opportunities, especially for matters related to the world of education. , internet design and gaming. This community service is also a place to socialize research results at the Department of Informatics Engineering, namely Metaverse in the field of education. The results of the service showed that the level of understanding of the training participants increased significantly on the importance of Metaverse education.

Improving Community Digital Literacy Capability in Efforts to Build a Digital Village Amil Ahmad Ilham; Zahir Zainuddin; Ingrid Nurtanio; Indra Bayu; Muhammad Nizwar; Adnan Adnan; Elly Warni; Zulkifli Tahir; Ais Prayogi Alimuddin; Christoforus Yohannes; Ady Wahyudi Paundu; Mukarramah Yusuf; Anugrayani Bustamin; Iqra Aswad; Muhammad Alief Fahdal Imran Oemar; Intan Sari Areni; Zaenab Muslimin
JURNAL TEPAT : Teknologi Terapan untuk Pengabdian Masyarakat Vol 6 No 1 (2023): Kesadaran Teknologi untuk Mengatasi Permasalahan Kemasyarakatan
Publisher : Faculty of Engineering UNHAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/jurnal_tepat.v6i1.296

Digital village is a government program concern on village development to improve the quality of life of rural communities through the use of technology in various aspects of village development. This community service aims to provide essential insight and knowledge regarding Digital Village and its application to support the realization of a smart village. This activity was carried out in Desa Tamaona, Bulukumba Regency, through a socialization process attended by four village officials and ten productive people from the local village. Digital information about this village is still relatively minimal on the Internet, while the potential for natural wealth and products in the village is excellent. Therefore, this activity was carried out to support the concept of village digitization as well as an event to introduce the potential of Desa Tamaona to the outside community. The implementation of this service is carried out by socializing village information applications/systems using the Participatory Rural Appraisal (PRA) method. The results of the initial data collection show that the Desa Tamaona community has sufficient potential for developing a digital village, which is seen from the already high intensity of internet use by the community. After the socialization and training on using the website information system, the participants acknowledged that they got a lot of convenience in accessing information digitally compared to before this activity was carried out. This stage is a motivation for further developing technological resources to achieve the smart village concept, which can also increase digital literacy for the Desa Tamaona community.

Sosialisasi Penerapan Teknologi Monitoring Tanaman Hidroponik di PPMI Shohwatul Is'ad Kabupaten Pangkep Tahir, Zulkifli; Ilham, Amil Ahmad; Niswar, Muhammad; Adnan, Adnan; Zainuddin, Zahir; Paundu, Ady Wahyudi; Wardi, Wardi; Aswad, Iqra; Imran Oemar, Muhammad Alief Fahdal; Marindah Wardhani, Tyanita Puti
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.v6i2.428

Hydroponic plant cultivation refers to a method of cultivating plants that eliminates the use of soil as a growth medium. The present system possesses several notable benefits, including its ability to operate within a limited land area and the superior performance of hydroponic cultivation compared to conventional growing methods. This approach aligns with the concepts of the Sustainable Development Goals (SDGs), particularly SDG 2, which aims to ensure global food security. This public service aims to provide an Internet of Things (IoT)-enabled hydroponic production system that utilizes computer vision technology to regulate the provision of nutrients to plants based on their development rate. This technique is applicable to those in the general population who possess restricted land resources. Further, we aim to engage in community socialization around the hydroponic system while also offering insights into the newest advancements in information system technology applicable to hydroponics. We facilitate the acquisition of knowledge and skills within the community as a whole, with a specific focus on the students at PPMI Shohwatul Is'ad to equip them with the necessary expertise to effectively implement hydroponic plants and the latest information system technology for the purpose of monitoring.

Digital Image Processing for Detecting Industrial Machine Work Failure with Quantization Vector Learning Method Rasyid, Muhammad Rafli; Tahir, Zulkifli; Syafaruddin, nfn
Jurnal Pekommas Vol 4 No 2 (2019): October 2019
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jpkm.2019.2040203

Todays, digital image processing is widely used in various fields to facilitate humans in doing work by analyzing videos or images for use in decision making in the industrial world. The use of industrial machine technology is one of the most important factors in efforts to facilitate human work, but an industrial machine is inseparable from work failure that can hinder the production process and cause harm to the industry. This study aims to detect a failure in industrial machinery by using video data of industrial machine movements recorded using a webcam camera. For the preprocessing stage, the image is resized then converted to grayscale imagery and segmented using the thresholding method, then morphological operations are performed with an opening operation, feature extraction is done by changing the binary image into a vector data that is used as input data in the classification process using the Learning Vector Quantization Neural Network Algorithm (LVQ NN) version 1. The results showed the results of the detection of machine working errors can be done well with an accuracy value of 94.24% in training and 92.38% in the testing phase.

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