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All Journal Jurnal Komtika (Komputasi dan Informatika) Kappa Journal Infotek : Jurnal Informatika dan Teknologi ABSYARA: Jurnal Pengabdian Pada Masyarakat Jurnal Teknologi Informasi untuk Masyarakat (Jurnal Teknokrat)
Suhartini, Suhartini
Fakultas Teknik Universitas Hamzanwadi
Agriculture, Biological Sciences & Forestry Astronomy Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Physics Other

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Sosialisasi dan pelatihan aplikasi Sistem Informasi Data dan Pembayaran Iuran Bulanan warga Indra Gunawan; Muhammad Sadali; Baiq Andriska Candra Permana; Hamzan Ahmadi; Imam Fathurrahman; Aris Sudianto; Suhartini Suhartini; Lalu Kertawijaya; Mahpuz Mahpuz; Muhammad Wasil; Harianto Harianto
ABSYARA: Jurnal Pengabdian Pada Masayarakat Vol 3 No 2 (2022): ABSYARA: Jurnal Pengabdian Pada Masyarakat
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/ab.v3i2.5754

Abstract

Apart from being in the general community group, residents are also in a complex residential environment. There are housing complexes for the community in subsidized and commercial housing. The large number of citizen data in one housing complex raises many problems, both harmony problems, and administrative problems. The most fundamental problem is how the system records valid citizens and whether the contribution payment system is accountable, valid, and transparent. The team of lecturers from Hamzanwadi University's Informatics Engineering Study Program is doing this service to help the management of RT 005 Lingkar Pratama build a free application system and collect data from citizens. So, it can help RT administrators record and manage complex residential residents' contributions. The method in this service is carried out in stages, starting with problem data analysis, socialization, and training. The results of this service are in the form of implementing applications that can already be used and assist RT admin officers in managing financial reports and information management of citizen data. Of the fourteen administrators who attended the training, on average, they had mastered the application
Sistem Informasi Berbasis Web Untuk Pemetaan Geografis Lahan Pertanian (Studi Kasus : Desa Darmasari Kecamatan Sikur Lombok Timur) Suhartini Suhartini; Hadian Mandala Putra; Muhammad Saipul; Lalu Kerta Wijaya
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.v6i1.7521

Abstract

The potential of agricultural land in Indonesia is still extensive, so the agricultural sector is still one of the incomes for most Indonesians. The agricultural land sector is widespread in various regions in Indonesia, one of which is in Darmasari Village, Sikur District. As an agricultural area, most of the population in Darmasari Village chooses livelihood as farmers. However, the distribution of agricultural land has not been mapped, which can provide information about the location of agricultural land, especially those in Darmasari Village. In this study, a web-based Agricultural Land Geographic Information System was constructed in Darmasari village. The geographic information system that is built can display information in the form of spatial and non-spatial data that describes an object based on the state of the earth. The method used in creating this system is to use the object-oriented method. With the construction of this Geographic Information System, it is hoped that it will be able to provide information for the community about the distribution of the location and area of agricultural land, especially in the Darmasari Village area
Clustering Data Pasien Covid Berdasarkan Usia dan Gejala Menggunakan Algoritma K-Means Nurhidayati Nurhidayati; Lola Mauliya Lola Mauliya; Suhartini Suhartini
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.v6i2.17488

Abstract

The case of COVID-19 is familiar to everyone's ears, but there are still a lot of people who don't care about the importance of maintaining health protocols because of the lack of education about the COVID-19 virus. The increase in cases of covid-19 is getting higher from year to year with increasingly diverse patient symptoms, therefore researchers are interested in conducting research on grouping covid patients based on age and symptoms using the k-means algorithm clustering method. Rapidminer 5 is an application used to process patient data. covid-19, but before processing the data, several processes and stages will be carried out including data cleaning, data selection, integration, transformation until the data is ready to be processed using the rapidmider application. From the result obtained cluster 1 wich amounted to 866 items it was certain that it consisted of patients aged 42-81 years with 50 deaths, while in the cluster 2 wich amounted to 1566 items with an age range of 1-41 years with 16 death. The k-means algorithm clustering method is the most appropriate solution for processing covid patient data. -19, this is because the level of accuracy produced is quite effective. The results obtained in grouping Covid-19 patient data using the k-means algorithm can be used as evaluation material by the government, especially the East Lombok District Health Office in dealing with cases of the increasingly high spread of COVID-19.
Penerapan Sistem Informasi untuk Media Absensi Menggunakan QR Code Suhartini Suhartini; Hadian Mandala Putra; Nurhidayati Nurhidayati
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.v6i2.17479

Abstract

Attendance is something that must be done by students. In the attendance process, SMPN 3 Terara still uses the manual method. Therefore, we need a student attendance system that can collect and store the data so that it can be processed quickly, efficiently and accurately. One of the technologies currently developing is QR Code, QR Code is very much needed because of its ability to store larger data so that it can provide fast and accurate services. One of the things that can be done to support the author in designing a QR Code Application for Media Student Attendance services for SMPN 3 Terara is using the Extreme Programming research method. The purpose of this research is to establish an attendance system so that the process will be more efficient and can be monitored easily by the teacher and by the academic department. The results of this study are a student attendance application that uses a QR code as a medium for student attendance input based on a local network which is implemented in order to create an attendance information system that provides convenience for students in the attendance process, reduces acts of cheating committed by students, and facilitates reports when making recaps report.
Peningkatan kompetensi siswa SMK melalui pelatihan desain grafis dan animasi Mahpuz Mahpuz; Muhammad Wasil; Aris Sudianto; Muhamad Sadali; Baiq Andriska Candra Permana; Hamzan Ahmadi; Suhartini Suhartini; Indra Gunawan; Imam Fathurrahman; Lalu Kerta Wijaya; Harianto Harianto; Moh. Farid Wajdi
ABSYARA: Jurnal Pengabdian Pada Masayarakat Vol 4 No 1 (2023): ABSYARA: Jurnal Pengabdian Pada Masyarakat
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/ab.v4i1.18793

Abstract

Multimedia is a crucial field of study in the present era, as all professional domains require its application to aid individuals in effectively completing their tasks. However, the Multimedia field is contributing significantly to unemployment rates today. This issue partly arises from the fact that graduates in Multimedia lack the required proficiency, skills, and knowledge sought by various companies and institutions. SMK NW Kembang Kerang is a private vocational school located in East Lombok, which offers a multimedia program attracting a substantial number of students each year. Despite graduating students in this field annually, many face the challenge of inadequate competencies upon completion of their education. The lack of practical exposure during their school years hinders the alumni's ability to compete in the job market. Although numerous photo and video editing services are available in the Kembang Kerang region, it is observed that few SMK graduates are employed in this area. The school's teachers and principal comprehend this issue, attributing it to the limited opportunities for practical training experienced by the students. Consequently, to address this concern, the author conducted a competence training activity for students at SMK NW Kembang Kerang, with a specific focus on multimedia and graphic design. The objective of this training program is to enhance the students' multimedia and graphic design skills, empowering them with competent capabilities that will prove beneficial both for their personal growth and the broader community. Through this initiative, it is anticipated that upon completing their vocational education, students will possess the necessary competencies to thrive in the professional realm and contribute positively to society at large.
Penyusunan Peta Desa Digital Desa Wanasaba Daya Menggunakan Sistem Informasi Geografis (ArcGIS) Suhartini; Indra Gunawan; Hamzan Ahmadi
Jurnal Teknologi Informasi untuk Masyarakat Vol. 4 No. 1 (2026): Jurnal Teknologi Informasi untuk Masyarakat (Teknokrat)
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jt.v4i1.35363

Abstract

The preparation of a digital village map is one form of utilizing information technology to support regional data management and development planning at the village level. Wanasaba Daya Village, located in Wanasaba District, East Lombok Regency, requires geographic data that are presented systematically and easily understood. So far, information related to administrative boundaries, road networks, settlements, and public facilities has not been fully documented in an integrated digital map. This study aims to develop a digital village map of Wanasaba Daya Village by utilizing a Geographic Information System (GIS) using ArcGIS software. The method applied is descriptive, with secondary data collection obtained from online sources, particularly the LapakGIS website, and adjustments based on field observations. Spatial data were processed and presented in several layers representing the main elements of the village area. The results indicate that the resulting digital village map is able to present geographic information in a more structured and informative manner. This digital village map is expected to be utilized by the village government as a supporting medium for regional data management, development planning, and as part of efforts to digitalize village administration
Sistem Pemantauan Pelacak Panel Surya Berbasis Internet of Things dengan Aplikasi Ponsel Pintar Hadian Mandala Putra; Habibul Muzzamil; Ida Wahidah; Suhartini
Infotek: Jurnal Informatika dan Teknologi Vol. 9 No. 2 (2026): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v9i2.35038

Abstract

Solar energy is an environmentally friendly renewable energy source that has gained increasing attention due to its sustainability and widespread availability. The use of a solar tracking system capable of following the sun's movement can significantly improve the performance of solar panel systems. This study aims to develop an Internet of Things (IoT)-based monitoring system utilizing a smartphone application (Telegram on Android) to monitor and control a solar panel tracking system. The research employed a Research and Development (R&D) approach. The hardware components consisted of a tracking motor, Light Dependent Resistor (LDR) sensors, and a DC voltage sensor integrated with a solar panel system. The software component utilized a Telegram Bot as a platform for remote monitoring and control. The results demonstrated that the developed system was capable of performing real-time monitoring and control of the solar panel system through an internet connection. The main contribution of this study lies in the integration of an LDR-based solar tracking mechanism with a Telegram Bot-based monitoring and control system. Experimental results indicated that the proposed solar tracking system achieved a 23.18 % increase in average output voltage compared to a conventional static solar panel system. Furthermore, the output voltage remained more stable throughout the day because the solar panel was able to automatically follow the sun's trajectory. These findings indicate that the proposed system can enhance solar energy harvesting performance while providing a practical solution for remote monitoring and control.
Pengembangan Sistem Informasi Manajemen Terintegrasi Berbasis Web untuk Optimalisasi Operasional dan Pengambilan Keputusan Strategis pada UMKM Nurhidayati; Suhartini; Almi Yulistia Alwanda
Infotek: Jurnal Informatika dan Teknologi Vol. 9 No. 2 (2026): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v9i2.35283

Abstract

In the digital era, the utilization of information technology—including Management Information Systems (MIS)—is crucial for operational efficiency, data management, and strategic decision-making, particularly for MSMEs. Pesona Cafe Lenek, an MSME in East Lombok, continuously strives to enhance its customer service; however, its reliance on manual transaction processes has proven to be neither effective nor efficient. This study aims to develop a web-based management information system to improve the cafe's operational management and serve as a basis for strategic decisions regarding sales and employee payroll. The system also incorporates features for employee attendance tracking and accounting functions, specifically the general ledger and profit/loss statements. Implementing this information system is expected to streamline transactions, simplify the process of summarizing sales data, and enable faster access to financial and purchasing reports—whether on a monthly or on-demand basis. The results demonstrate that the platform enhances efficiency in promotions and ordering while strengthening the MSME's image through a user-friendly, informative interface. Furthermore, it provides an interactive user experience, expands market reach, and facilitates the sustainable management of sales data and digital marketing strategies. Ultimately, this boosts business competitiveness, fosters customer loyalty, and opens up new collaboration opportunities in the era of digital transformation.
Analisa Komparatif Klasifikasi Citra Sayuran dengan Algoritma Support Vector Machine dan Convolutional Neural Network Ida Wahidah; Hadian Mandala Putra; Suhartini; Taufik Akbar
Infotek: Jurnal Informatika dan Teknologi Vol. 9 No. 1 (2026): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v9i1.32791

Abstract

This study presents a comparative analysis between the Support Vector Machine (SVM) algorithm, representing machine learning techniques, and the Convolutional Neural Network (CNN) algorithm, representing deep learning techniques, for vegetable image classification. The research adopts a quantitative approach by conducting multiple experimental schemes involving various SVM feature extraction methods and CNN architectures. The objective of this study is to evaluate and compare the performance, effectiveness, and computational efficiency of SVM and CNN algorithms. The dataset used in this study is a publicly available vegetable image dataset obtained from the Kaggle platform, consisting of 21.000 images categorized into 15 classes. The experimental results indicate that CNN significantly outperforms SVM in terms of accuracy, precision, recall, and F1-score. Moreover, CNN demonstrates superior generalization capability in predicting unseen image data. The best performance of the SVM algorithm was achieved using the Color Histogram feature extraction method, yielding an accuracy of 93%. In contrast, CNN models employing pre-trained architectures achieved higher accuracy, with VGG16 and MobileNetV2 obtaining accuracies of 98% and 100%, respectively. Based on the comparative results, CNN provides higher classification accuracy than SVM; therefore, this study can serve as a scientific reference for the development of image classification systems in digital agriculture and other applications requiring high accuracy and efficient computational performance.
Penerapan Algoritma K-Means Dalam Mengelompokkan Ruang Pasien BPJS Untuk Menentukan Pola Perawatan Kesehatan Yang Efektif Amri Muliawan Nur; Yahya; Rodhiyah FIlkhaer; Suhartini
Infotek: Jurnal Informatika dan Teknologi Vol. 9 No. 1 (2026): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v9i1.33079

Abstract

The National Health Insurance organizer managed by BPJS Kesehatan plays a crucial role in ensuring equitable and quality healthcare services for all Indonesian citizens. The increasing number of BPJS participants encourages healthcare facilities to implement more efficient data-driven management. Fakhira Clinic in East Lombok still faces challenges in managing treatment rooms and formulating service strategies due to suboptimal use of data analysis, causing decisions to often be made reactively.This study aims to apply the K-Means clustering algorithm to group BPJS patient rooms. The K-Means algorithm is used to cluster BPJS patients based on their characteristics and service needs, such as gender, age, type of illness, visit frequency, duration of treatment, and payment method. Analysis of 500 BPJS patient data resulted in three main clusters: 217 patients with light treatment patterns, 158 patients with moderate care needs, and 125 patients with intensive care requirements. Each cluster shows different tendencies regarding age, length of hospital stay, and diagnosis. This information can be utilized as a basis for arranging treatment rooms, accelerating service processes, and formulating more effective and targeted care strategies.
Co-Authors Almi Yulistia Alwanda Aris Sudianto Bahtiar, Hariman Baiq Andriska Candra Permana Fathurrahman, Imam Habibul Muzzamil Hadian Madala Putra Hadian Mandala Putra Hamzan Ahmadi Harianto Harianto Ida Wahidah Iman Darmawan, Iman Indra Gunawan Lola Mauliya Lola Mauliya M. Nuzuluddin Mahpuz, Mr. Mahpuz Moh. Farid Wajdi Muhammad Djamaluddin Muhammad Sadali Muhammad Saipul Muhammad Wasil Muhammad, Saiful Nur Arini Pratiwi Nur Hidayati Nur, Amri Muliawan nurhidayati, nur ida Pratiwi, Nur Arini Ria Yuliani Rodhiyah FIlkhaer Sadali, Muhamad Salmiah Salmiah Sutriandi, Aswian Editri Taufik Akbar Wijaya, Lalu Kerta Yahya, Yahya Yuliani, Ria Yupi Kuspandi Putra