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All Journal Infotek : Jurnal Informatika dan Teknologi ABSYARA: Jurnal Pengabdian Pada Masyarakat

L M Samsu

Universitas Hamzanwadi

Author-ID : 3648088

Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Engineering Environmental Science Library & Information Science Mathematics Other

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KOMPARASI ALGORITMA DENOISING DAN BINARIZATION DENGAN ADAPTIVE THRESHOLDING DAN MORFOLOGI UNTUK MENIGKATKAN KUALITAS KETERBACAAN CITRA NASKAH LONTAR (TAKEPAN) SASAK L M SAMSU; MUHAMMAD SAIFUL; Hariman Bahtiar
Infotek: Jurnal Informatika dan Teknologi Vol 3, No 2 (2020): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

One of the cultural heritages in West Nusa Tenggara, especially Lombok, is takepan (ancient lontar manuscripts). Takepan written on Lontar leaf sheets (Duntan leaf in Sasak language) is known as the jejawan script (derived from ancient Javanese language). According to [1] in his research on image segmentation of Javanese script, the adaptive thresholding value was obtained based on the variation in the sensitivity of each local windows. The process of determining the thresholding value works on blocks in the image. Images that have high contrast and high lighting variations are very difficult to classify as background or foreground because there are a lot of pixels, you should use Local Adaptive Thresholding. From the research that has been done, it can be concluded that adaptive thresholding and morphology with dilation approach really help maximize image readability with the highest Peak Signal to Noise Ratio (PSNR) value reaching 34,107 dBDOI : 10.29408/jit.v3i2.2304

Perancangan Kerangka Crowdsourcing Berbasis Wisdom Of Crowds Untuk Kamus Naskah Lontar (Takepan) Sasak Online Muhammad Saiful; L M Samsu; Imam Fathurrahman
Infotek: Jurnal Informatika dan Teknologi Vol 3, No 2 (2020): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

The online Lontar (Takepan) Sasak manuscripts currently available are not sufficient to be a reference for those who want to learn Sangsekerta because of the limited contribution and stagnation of their contributions. On the other hand, active speakers of Lontar (Takepan) Sasak manuscripts exposed to the internet are available in sufficient quantities. The wisdom of crowds-based crowdsourcing mechanism is expected to be a solution to the problem. This paper presents a draft framework of the Sasak Lontar (Takepan) online crowdsourcing dictionary system. The design of this framework is expected to be the basis for the development of the new Sasak Lontar (Takepan) online dictionary.DOI : 10.29408/jit.v3i2.2300

Sistem Deteksi Infeksi COVID-19 Pada Hasil X-Ray Rontgen menggunakan Algoritma Convolutional Neural Network (CNN) Muhammad Saiful; Lalu Muhammad Samsu; Faturrahman rahman
Infotek: Jurnal Informatika dan Teknologi Vol 4, No 2 (2021): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

The development of the world's technology is growing rapidly, especially in the field of health in the form of detection tools of various objects, including disease objects. The technology in point is part of artificial intelligence that is able to recognize a set of imagery and classify automatically with deep learning techniques. One of the deep learning networks widely used is convolutional neural network with computer vision technology. One of the problems with computer vision that is still developing is object detection as a useful technology to recognize objects in the image as if humans knew the object of the image. In this case, a computer machine is trained in learning using artificial neural networks. One of the sub types of artificial neural networks that are able to handle computer vision problems is by using deep learning techniques with convolutional neural network algorithms. The purpose of this research is to find out how to design the system, the network architecture used for COVID-19 infection detection. The system cannot perform detection of other objects. The results of COVID-19 infection detection with convolutional neural network algorithm show unlimited accuracy value that ranges from 60-99%

Algoritma Denoising & Binarization untuk Perbaikan Kualitas Keterbacaan Citra Takepan Sasak Lalu Muhammad Samsu; Aswian Editri Sutriandi
Infotek: Jurnal Informatika dan Teknologi Vol 1, No 2 (2018): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Not in the future, Sasak, an ancient manuscript on palm-leaf media from the island of Lombok, experienced quality degradation over time, which worsened the readability of the manuscript. This study explores a combination of denoising and binarization techniques for manuscript image processing with the aim of helping improve future script readability. The experimental results show that the readability level can be improved by different denoising and binarization techniques for different front conditions. The binarization simple thresholding technique and the gaussian adaptive technique are found to generally have the best performance compared to other techniques.DOI : 10.29408/jit.v1i2.902

Penerapan Sistem Monitoring Hidroponik berbasis Internet of Things (IoT) Imam Fathurrahman; Muhammad Saiful; L M Samsu
ABSYARA: Jurnal Pengabdian Pada Masayarakat Vol 2 No 2 (2021): ABSYARA: Jurnal Pengabdian Pada Masyarakat
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/ab.v2i2.4219

Hydroponics is a method of planting without using soil media by utilizing water. The problem occurs when the farmer cannot control the water used in hydroponic. Therefore, we need a system to monitor the amount of water used in the hydroponic planting system. This service activity aims to develop and implement a hydroponic monitoring system based on IoT. This activity was carried out by students, followed by several accompanying lecturers. It aims to assist partners in measuring water content, temperature, and water pH in hydroponic plants. One of the business unit partners for this activity is SMEs engaged in hydroponic agricultural cultivation at the Science Technology & Industrial Park (STIPARK) NTB. This community service activity was held for four months. From the process of analyzing partner problems, they were testing the STIPARK management and hydroponic SME business partners and the community who later needed a hydroponic monitoring system based on the Internet of Things so that information could be received in real-time. This product can help hydroponic SME business partners know the level of water levels or nutrients, monitoring water temperature and water pH to help farmers increase crop yields from hydroponic cultivation

Sistem Informasi Berbasis WEB Pada Alumni Pondok Pesantren Nurul Haramain NWDI Narmada Imam Fathurrahman; Muhammad Saiful; Lalu Muhammad Samsu; Nurhidayati Nurhidayati
Infotek: Jurnal Informatika dan Teknologi Vol 5, No 2 (2022): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Nurul Haramain NWDI is a boarding school founded by TGKH. Djuaini Muchtar (late) in 1991, which is located in Narmada District, West Lombok Regency. Santri do not only come from the islands of Lombok or West Nusa Tenggara, but also come from various regions in Indonesia, as the years go on, more and more students enter Islamic boarding schools and of course, every year there are always students who finish their education. The lack of information about alumni that is published every year makes it difficult for students and the outside community to get information. Alumni are an important part of an educational institution, so to overcome this problem, an alumni information system is needed, to make it easier to get to know each other. Based on the results of the research that has been done by the author in the form of an information system for alumni of the Nurul Haramain Islamic Boarding School NWDI Narmada web-based, where in building this system used system development tools in the form of software used, such as data flow diagrams (DFD), PHP, which is a programming language. and My SQL for the database.

Implementasi Algoritma Naive Bayes Untuk Klasifikasi Penerima Beasiswa (Studi Kasus Universitas Hamzanwadi) Nur Ida Nurhidayati; Yahya Yahya Yahya; Fathurrahman Fathur Fathurrahman; L.M. Samsu Samsu L.M. Samsu; Wajizatul Amnia wajizatul Wajizatul Amnia
Infotek: Jurnal Informatika dan Teknologi Vol. 6 No. 1 (2023): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v6i1.7529

Every year the University offers various types of scholarships to its students, including Hamzanwadi Selong University, East Lombok. One type of scholarship offered is the Bidikmisi scholarship (KIP/K) which is intended for students who have middle to lower economic levels but have good academic achievement or potential. Every year the number of applicants for this scholarship continues to increase, but the number received each year is limited. The large number of piles of files applying for scholarships and the manual selection process tends to be ineffective and efficient and the results of the selection are inaccurate, so a system is needed that is able to assist in the selection process quickly, easily and on target. The method used is CRIS-DM with the Naive Bayes Classifier algorithm modeling, this method is an approach that refers to the Bayes theorem which combines previous knowledge with new knowledge. The variables consist of 7 attributes, namely: Name, DTKS status, achievement, parents' occupation, total income of parents, home ownership, and number of family dependents[1]. Testing was carried out using k-fold cross validation, and the highest accuracy results were obtained from k-fold 4 of 91.43%, while the AUC was 0.996% with a very good diagnostic classification. Thus it can be interpreted that the Naive Bayes algorithm is very well used in the selection of scholarships for bidikmisi scholarships at Hamzanwadi University

Co-Authors Aris Sudianto Aswian Editri Sutriandi Bahtiar, Hariman Fathurrahman, Imam Faturrahman rahman Mahpuz, Mr. Mahpuz Muhammad Wasil Muhammad, Saiful Nur, Amri Muliawan nurhidayati, nur ida Sutriandi, Aswian Editri Wajizatul Amnia wajizatul Wajizatul Amnia Yahya, Yahya Yupi Kuspandi Putra

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