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All Journal Infotek : Jurnal Informatika dan Teknologi ABSYARA: Jurnal Pengabdian Pada Masyarakat IICS Jurnal Teknologi Informasi untuk Masyarakat (Jurnal Teknokrat)

L M Samsu

Universitas Hamzanwadi

Author-ID : 3648088

Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media 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

Digitization of Hizib Nahdlatul Wathan by TGKH. Muhammad Zainuddin Abdul Madjid Based on the OPF Flipbook Hariman Bahtiar; Muhammad Djamaluddin; L.M. Samsu
IAIC International Conference Series Vol. 3 No. 1 (2020): SEMNASTIK 2020
Publisher : IAIC Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/conferenceseries.v3i1.378

TGKH. Muhammad Zainuddin Abdul Madjid is one of the charismatic figures and scholars who came from Lombok's island. He has produced many works to serve as a guide for the students and congregation who bought him from leading. Most of Maulana Shaykh's results still use conventional media in the form of paper. With these conventional media, mostly with frequent use or improper placement, the media can become damaged. The use of technology to maintain and preserve great charismatic figures and scholars such as TGKH Muhammad Zainuddin Abdul Madjid is very important. One of the works of business is Hizib Nahdlatul Wathan, hizib, which is a collection of regular and selected prayers with a direct target. The Hizb Nahdlatul Wathan book's creation in the digital form helps students and congregations to read business works from anywhere. One of the advantages of the Hizb Nahdlatul Wathan ebook is that this ebook uses the OPF flipbook format so that when we open it it is as if we are opening the original book. Besides providing the text, this ebook also includes sound facilities for reading the lyrics in the book. So in addition to reading, we can again listen to the sound of the chanting of the book's lyrics at once.

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

Rancang Bangun Smart System Pendeteksi Air Layak Minum Pada Sumur di Daerah Pesisir Pantai Berbasis Internet Of Things (IoT) Imam Fathurrahman; Indra Gunawan; LM Samsu; Nia Budiarti
Infotek: Jurnal Informatika dan Teknologi Vol. 6 No. 2 (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.v6i2.15872

Water is an important natural resource for human life, but in some coastal areas, the availability of clean water is often a serious problem. One source of water used by communities in these areas is wells, which often do not meet health standards for consumption. Manual methods for detecting well water quality still require long, expensive, and inefficient processes. Therefore, the development of a system that can detect water quality in real-time and provide fast and accurate information to the community is needed. The Internet of Things (IoT) technology, which allows objects to be connected to the internet, provides a solution that can be utilized. In this study, a Smart System was designed using salinity and manganese sensors to monitor the real-time quality of well water in coastal areas. Data from these sensors are sent to a server through the internet and analyzed to provide information to users via the Blynk application on their smartphones. With this system, communities can directly monitor the quality of well water, take appropriate actions, and safeguard the health of local residents. Additionally, this system can also assist relevant government or institutions in monitoring and taking quick actions in response to changes in well water quality in coastal areas

Pengembangan Model AI Menggunakan Algoritma Intensity Of Character (IoC) dan Reduced Support Vector Machine (RSVM) untuk Transliterasi Citra Aksara Sasak Samsu, Lalu Muhammad; Hidayat, Muh.Adrian Juniarta; Bagja, Amir; Saiful, Muhammad
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 2 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i2.31124

The limited human resources who are able to read Sasak script palm leaves are the main motivation for developing a transliteration tool for Sasak script images on palm leaves. By using the Reduced Support Vector Machine or RSVM algorithm as one of the classification methods, transliteration efforts can be facilitated with maximum results. The principle of the RSVM method in classifying objects by separating two different classes using a hyperplane has been proven to be able to produce maximum accuracy performance in this study. The research data in the form of Sasak script images resulting from the palm leaf image segmentation process that has been divided into 18 classes. The feature extraction algorithm used is Intensity of Character (IoC) with window sizes of 3x3, 4x4, and 5x5 and 3-Fold, 5-Fold, 7-Fold data Imbalance. The test results at the RSVM classification stage using the Linear Kernel, Polynomial Kernel, Radial Basic Function (RBF) and One against One modeling on the 18 classes tested, where each class contains 20 handwritten Jejawen Sasak script image data on palm leaves, were recorded to produce the highest accuracy, which was 93.6%.

Co-Authors Almi Yulistia Alwanda Amir Bagja Aris Sudianto Aswian Editri Sutriandi B Nadila Nuzululnisa Bahtiar, Hariman Faturrahman rahman Indra Gunawan Mahpuz Muh. Adrian Juniarta Hidayat Muhammad Djamaluddin Muhammad Wasil Muhammad, Saiful Nia Budiarti Nur, Amri Muliawan nurhidayati, nur ida Rosida Wajizatul Amnia wajizatul Wajizatul Amnia Yahya, Yahya Yupi Kuspandi Putra

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