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All Journal International Journal of Electrical and Computer Engineering Journal of Information Technology and Computer Science JIPF (Jurnal Ilmu Pendidikan Fisika) Jurnal INSYPRO (Information System and Processing) Journal TEPAT: Teknologi Terapan untuk Pengabdian Masyarakat JURNAL IT: Media Infromasi STMIK Handayani Makassar EPI International Journal of Engineering Jurnal Penelitian Enjiniring Fakultas Teknik Unhas Indonesian Journal of Electrical Engineering and Computer Science PINISI Discretion Review Journal of Information Technology and Its Utilization Jurnal Pengabdian Mandiri J-ENSITEC (Journal of Engineering and Sustainable Technology) Jurnal Sistem Informasi Journal of Information Technology and its Utilization
Muhammad Niswar
Departemen Teknik Informatika, Fakultas Teknik, Universitas Hasanuddin
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Physics Public Health Social Sciences Other

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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

Abstract

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.
WEBSITE PHISING DETECTION APPLICATION USING SUPPORT VECTOR MACHINE (SVM) Diki Wahyudi; Muhammad Niswar; A. Ais Prayogi Alimuddin
Journal of Information Technology and Its Utilization Vol 5, No 1 (2022)
Publisher : Sekolah Tinggi Multi Media (STMM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.5.1.4836

Abstract

Phishing is an act to get someone's important information in the form of usernames, passwords, and other sensitive information by providing fake websites that are similar to the original. Phishing (fishing for important information) is a form of criminal act that intends to obtain confidential information from someone, such as usernames, passwords and credit cards, by impersonating a trusted person or business in an official electronic communication, such as electronic mail or instant messages. Along with the development of the use of electronic media, which is followed by the increase in cyber crime, such as this phishing attack. Therefore, to minimize phishing attacks, a system is needed that can detect these attacks. Machine Learning is one method that can be used to create a system that can detect phishing. The data used in this research is 11055 website data, which is divided into two classes, namely "legitimate" and "phishing". This data is then divided using 10-fold cross validation. While the algorithm used is the Support Vector Machine (SVM) algorithm which is compared with the decision tree and k-nearest neighbor algorithms by optimizing the parameters for each algorithm. From the test results in this study, the best system accuracy was 85.71% using SVM kernel polynomial with values of degree 9 and C 2.5.
An Automated Feeding System for Soft Shell Crab Muhammad Niswar; Zahir Zainuddin; Yushinta Fujaya; Zagita Marna Putra
Indonesian Journal of Electrical Engineering and Computer Science Vol 5, No 3: March 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v5.i3.pp564-568

Abstract

Soft shell crab farming has been practiced in south-east Asian countries such as Indonesia. Soft shell crabs are harvested when they have just molted to prevent their shells from being hardened. An issue arises when feeding the crabs. Farmers need to feed the crabs 5% food of their body weight. However, farmers sometimes provide incorrect amounts of food to the crabs. If farmers feed the crab exceeding the required amounts of food, it causes food wastage and dirty water in the crabs’ cage. On the other hand, less amounts of food causes slow growth and molting of the crabs. In this study, we developed an automated feeding system for properly feeding of soft-shell crabs. The automated feeding system schedules the feeding time and controls the portion of food using a microcontroller. We also developed a web-based monitoring system to monitor and generate alert message to farmers to make sure that feeding process runs properly.
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

Abstract

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.
Evaluation of Academic Information System Using Delone and Mclane Success Model: A Case Study ff Academic Information System Hasanuddin University Andrisasmita Rachmat; Baharuddin Hamzah; Muhammad Niswar
Jurnal Sistem Informasi Vol. 18 No. 1 (2022): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (698.199 KB) | DOI: 10.21609/jsi.v18i1.1114

Abstract

This study examines the effectiveness of the utilization (individual impact) of academic information systems at Hasanuddin University using the DeLone and McLean information system success model. This model has seven hypotheses to examine the construct relationships including system quality predicts user satisfaction (H1), information quality predicts user satisfaction (H2), system quality predicts actual use (H3), information quality predicts actual use (H4), user satisfaction predicts actual use (H5a), actual use predicts user satisfaction (H5b), user satisfaction predicts individual impact (H6), and actual use predicts individual impact (H7). We use structural equation modeling with Partial Least Square technique. The results show that H1, H2, H6, H7 have a significant positive impact and the remaining hypothesis have no significant positive impact. In conclusion, indicators that influence the effectiveness of using the system are on the system quality variable and the quality of information with the greatest influence on the quality of information.
WEBSITE PHISING DETECTION APPLICATION USING SUPPORT VECTOR MACHINE (SVM) Diki Wahyudi; Muhammad Niswar; A. Ais Prayogi Alimuddin
Journal of Information Technology and Its Utilization Vol 5 No 1 (2022)
Publisher : Sekolah Tinggi Multi Media "MMTC" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.5.1.4836

Abstract

Phishing is an act to get someone's important information in the form of usernames, passwords, and other sensitive information by providing fake websites that are similar to the original. Phishing (fishing for important information) is a form of criminal act that intends to obtain confidential information from someone, such as usernames, passwords and credit cards, by impersonating a trusted person or business in an official electronic communication, such as electronic mail or instant messages. Along with the development of the use of electronic media, which is followed by the increase in cyber crime, such as this phishing attack. Therefore, to minimize phishing attacks, a system is needed that can detect these attacks. Machine Learning is one method that can be used to create a system that can detect phishing. The data used in this research is 11055 website data, which is divided into two classes, namely "legitimate" and "phishing". This data is then divided using 10-fold cross validation. While the algorithm used is the Support Vector Machine (SVM) algorithm which is compared with the decision tree and k-nearest neighbor algorithms by optimizing the parameters for each algorithm. From the test results in this study, the best system accuracy was 85.71% using SVM kernel polynomial with values of degree 9 and C 2.5.
DETEKSI KEPITING MOLTING MENGGUNAKAN TEKNIK KLASIFIKASI MACHINE LEARNING: Indonesia rezkiawan , runal; Niswar, Muhammad; Ahmad Ilham, Amil
J-ENSITEC (Journal of Engineering and Sustainable Technology) Vol. 8 No. 01 (2021): December 2021
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jensitec.v8i01.1909

Abstract

Soft crab is an export product where foreign demand is much higher than production. In the production of soft crabs, it is done by keeping the crabs individually in a crab box which is placed in the pond until they molt. Molting is a natural process of molting, i.e. removing the old tough skin for growth purposes. Shortly after molting, the new crab shells are still very soft and will harden again after water absorption occurs. Therefore it is important to monitor molting crabs to help farmers in the cultivation of soft shell crabs. The number of crab datasets is 1060 which consists of 1000 training data and 60 testing data. There are several popular image classification algorithms, namely K-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Random Forest Classifier (RFC). KNN, SVM, and RFC are classification algorithms from Machine Learning. This study aims to compare the performance of the three algorithms so that the performance of the three algorithms is known. Several parameters are used to configure the KNN, SVM, and RFC algorithms. From the results of the trials conducted, KNN has the best performance with 98.33% accuracy, 98.33% precision, 98.38% recall, and 98.38% F1 Score.
Determining The Depth of Hard Soil Layers Using Geoelectric Resistivity and Cone Penetration Test Methods (Case Study: Kelurahan Bontoramba Kecamatan Somba Opu Kabupaten Gowa) Nurhasanah, Nurhasanah; Muhiddin, Achmad Bakri; Djamaluddin, Abdul Rahman; Niswar, Muhammad
JIPF (Jurnal Ilmu Pendidikan Fisika) Vol 9, No 1 (2024): January 2024
Publisher : STKIP Singkawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26737/jipf.v9i1.4853

Abstract

Hard soil layers can impact the loading, stability, and behavior of structures in the geotechnical field. Comprehensive understanding of the depth and properties of hard soil layers can aid in designing suitable structures. Therefore, this study employed the resistivity geoelectric and Cone Penetration Test (CPT) methods to map the features of hard soil layers. Resistivity data were acquired through measurements utilizing the geoelectric method, while data on cone resistance, shear resistance, and friction ratio were gathered through field measurements using the CPT tool. The collected data was analyzed comprehensively to obtain a complete understanding of soil conditions. Based on resistivity values, the results indicated the research site comprises alluvium, very dry clay, and dry sandy soil. Based on the CPT test, it is determined that the layers contain mixtures of fine-grained soils, clay, silt, and sand. Therefore, it can be inferred that the dense sand lithology constitutes the hard soil layer geologically. The employment of both approaches delivers supplementary details on soil features and depth.
Wearable Wireless Sensor Network for Mitigating COVID-19 Transmission Through Physical Distancing Niswar, Muhammad; Andani; Fachrurrozie Haris, Muhammad Ahlan; Basuki, Achmad
Journal of Information Technology and Computer Science Vol. 8 No. 2: August 2023
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202382517

Abstract

The global community is currently facing a critical situation with the widespread transmission of the Covid-19 virus. The rapid increase in Covid-19 cases has necessitated immediate action and treatment. As the World Health Organization (WHO) recommended, maintaining a minimum distance of one meter between individuals is an effective preventive measure to avoid transmission through respiratory droplets. To address this issue, this paper introduces a cost-effective design and implementation of a wearable wireless sensor network using the ESP32 microcontroller and Bluetooth Low-Energy (BLE) technology that promotes physical distancing and contact tracing to mitigate the spread of COVID-19. In this research, we have determined that the safe distance between individuals is 1.5 meters. Proximity testing has indicated that an RSSI value of -62 dBm corresponds to a distance below 1.5 meters. Hence, we set -62 dBm as the distance threshold between wearable devices to ensure safe physical distancing. These wearable wireless sensor network devices are intended to assist individuals in maintaining a safe distance from others, thereby reducing the risk of COVID-19 transmission.
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

Abstract

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.
Co-Authors ', Wardi A. Ais Prayogi Alimuddin A.Ais Prayogi Abdul Rahman Djamaluddin Achmad Bakri Muhiddin Achmad Basuki Adnan - Adnan Adnan Adnan Adnan Ady W Paundu Ady Wahyudi P Ady Wahyudi Paundu Ahmad Ilham, Amil Ais P Alimuddin Amil A Ilham Amil A. Ilham Amil Ahmad Ilham Andani Andani Achmad Andi Armyn Nurdin, Andi Armyn Andrisasmita Rachmat Anugrayani Bustamin Aswad, Iqra Aulia Darnilasari Azis, Masyitha Baharuddin Hamzah Christoforus Yohanes Diki Wahyudi Elly Warni Fachrurrozie Haris, Muhammad Ahlan Firmansyah J Kusuma Furqan Zakiyabarsi Ida R Sahali Idar Mappangara Indrabayu Indrabayu Ingrid Nurtanio Intan Sari Areni Iqra Aswad Iqra Aswad M Alief F Imran Marindah Wardhani, Tyanita Puti Muh. Alief Fahdal Imran Oemar Muhammad Awaluddin, Muhammad Muhammad Irsan Sabir Muhammad Nur Muhammad Nur Mukarramah Yusuf Novy NRA Mokobombang Nurhasanah Nurhasanah Paundu, Ady Wahyudi rezkiawan , runal Rieka Zalzabillah Putri Suparno, I Wayan Syahbudin Syahbudin Wahyudi Sofyan Wardi Wardi Yohannes, Christoforus Yushinta Fujaya Zaenab - Zaenab Muslimin Zagita Marna Putra Zahir Zainuddin Zahir Zainuddin Zahir Zainuddin Zulkifli Tahir