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Pembinaan kewirausahaan berbasis teknologi untuk mengembangkan jiwa Technopreneurship Suhartini Suhartini; Aris Sudianto; Indra Gunawan; Baiq Andriska Candra Permana; Hamzan Ahmadi; Imam Fathurrahman; Lalu Kerta Wijaya; Muhammad Wasil; Nurhidayati Nurhidayati
ABSYARA: Jurnal Pengabdian Pada Masayarakat Vol 2 No 1 (2021): ABSYARA: Jurnal Pengabdian Pada Masyarakat
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/ab.v2i1.2574

Abstract

The development of MSMEs (Micro, Small and Medium Enterprises) in Indonesia is currently very fast, as indicated by the increasing number of startups in Indonesia. The Indonesian government spends billions of rupiahs to encourage the millennial generation to become young entrepreneurs by developing startups to grow the Indonesian economy. Therefore, to support the government program, this service activity aims to understand technology-based entrepreneurial activities for students at Madrasah Aliyah Ridhlo Walidain NW, Batu Bangka, Jenggik that students' interest in entrepreneurship will increase and, they can become actors technopreneurs in the future.  The participants understood the use of e-commerce to support the birth of new entrepreneurs who later could strengthen the finances and economy for home-based businesses. The method used to achieve this goal is by conducting lectures and practices using available platforms such as YouTube, Instagram, and Google Business. The results obtained from the activity are understanding the basic techniques for carrying out technology-based entrepreneurial activities. The final results show from this promotion include making it simple to use the platform by utilizing smartphone technology
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (465.879 KB) | DOI: 10.29408/jit.v5i2.5935

Abstract

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.
Aplikasi Penjualan Gerabah Berbasis Android Sebagai Media Pemasaran Online (Studi Kasus : UD Barokah Desa Penakak Masbagik) Baiq Andriska Candra Permana; Siti Nurhaliza; Nurhidayati Nurhidayati; Mahpuz Mahpuz
Infotek: Jurnal Informatika dan Teknologi Vol 5, No 2 (2022): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (379.821 KB) | DOI: 10.29408/jit.v5i2.6024

Abstract

One of several forms of handicrafts that are widely sold in East Penakak Masbagik Village is pottery. UD. Barokah is one of the shops selling pottery products. However, the transaction system used so far still uses a manual system where buyers directly come to the pottery sales place to find or buy the preferred item. With the increase in the current electronic-based sales system, it is necessary for business actors to implement an online-based sales system (e-commerce) so that the marketing reach of goods becomes wider, one of them is by utilizing the android platform which is almost owned by most people these days. With the application of an Android-based online e-commerce system, it is expected to help increase sales of pottery at UD. Barokah especially to deal with the pandemic period where some conventional buying and selling activities are starting to decrease due to the limited community activities in public areas
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

Abstract

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
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.
Penerapan Metode Naïve Bayes Untuk Penentuan Penerima Beasiswa Program Indonesia Pintar (PIP). Amri Muliawan Nur; Nurhidayati Nurhidayati; Imam Fathurrahman
Infotek: Jurnal Informatika dan Teknologi Vol. 7 No. 1 (2024): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v7i1.23995

Abstract

PIP is the provision of educational cash assistance to school-aged children from underprivileged families who are marked with a smart Indonesia card (KIP). The purpose of this research is to determine the performance of the Naïve Bayes method in classifying data on students who are eligible and who are not eligible to receive a PIP scholarship at SMAN 1 Sukamulia, because this school is still experiencing problems in the decision-making process for determining potential PIP scholarship recipients, because there are no a system that can assist in processing student data that is eligible and not eligible to get the PIP scholarship. Therefore, for data processing, researchers tried to implement a new system with the Data Mining concept using the Naïve Bayes method, by carrying out 9 tests using Cross Validation starting from K-Fold Validation 2 to 10, obtaining the highest accuracy results in the 9th test. using K-Fold Validation 10 which is equal to 92.81%. Also obtained was an Area Under Curve (AUC) value of 0.973%, where AUC is a parameter used in classification analysis to determine the best model for predicting a class or attribute. AUC itself has a value range of 0-1, which means that the closer the AUC value is to 1, the better the prediction or diagnosis of the attribute
Penerapan Sistem Informasi Penjualan Baju Berbasis Android Sebagai Peningkatan Layanan Konsumen Nurhidayati Nurhidayati; Suhartini Suhartini; Baiq Andriska Candra Permana; Amri Mulliawan Nur
Infotek: Jurnal Informatika dan Teknologi Vol. 7 No. 1 (2024): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v7i1.24034

Abstract

The development of the internet world is highly expected for the present because more and more private companies, agencies, and educational institutions are very highly in need to serve as information services. In this study, we will try to make an Android-based Jersey Shirt Sales System Application that is addressed at the Berugak Jersey Lombok Store. The Berugak Jersey Lombok shop only uses social media and manuals in marketing its products. So, most of the consumers/customers come from the people around them and the social media they use. Currently, a business field is certainly less competitive if it does not have online marketing media such as e-commerce applications/websites. The existence of an application/website will be able to expand the reach in marketing the products sold at this store. The method used in the design and manufacture of this software is the waterfall method. The purpose of this final project research is to produce a sales system application design that can make it easier for consumers to place orders/transactions at the Berugak Jersey Lombok store and as a means to promote products to be more communicative and informative, to expand the marketing area and increase the number of consumers.
Pemanfaatan Software Artificial Intelligence Dalam Pengembangan Media Pembelajaran Mengenal Dan Membaca Bahasa Aksara Sasak Berbasis Mobile Hariman Bahtiar; Hasna’ Muallifatunnafiah; Nurhidayati Nurhidayati
Infotek: Jurnal Informatika dan Teknologi Vol. 7 No. 1 (2024): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v7i1.24237

Abstract

The influence of global culture and modernization in the field of technology has had a major impact on the field of education, especially in learning and teaching methods. The technology which keeps developing rapidly and provides great opportunities to improve the quality and effectiveness of learning media is Artificial Intelligence technology. Based on the results of observations and interviews, 85% of the 19 third-grade students at SDN 3 Sekarteja found it difficult to recognize and read the Sasak script language in local content lessons. This research aims to overcome students' difficulties in recognizing and reading the Sasak script language at SDN 3 Sekarteja through the development of mobile-based interactive learning media that utilizes Artificial Intelligence tools to create, so that they can be used as a means of teaching and learning activities. This research was carried out using the methods of problem analysis, data collection, design stage, design stage, development stage, trial and implementation. The results showed a very good response which was evidenced by the results of testing interactive learning media showing a good response: the absence of errors and getting very good results regarding the implementation of interactive learning media at SDN 3 Sekarteja from the results of the questionnaire. 
Prediksi Tingkat Kesehatan Masyakarat Berdasarkan Penggunaan Alat Kontrasepsi Menggunakan Algoritma Random Forest Yahya Yahya; Nurhidayati Nurhidayati; Andri Suherman
Infotek: Jurnal Informatika dan Teknologi Vol. 7 No. 1 (2024): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v7i1.24321

Abstract

Public health is part of a lifestyle that is used to prevent disease, extend life span, and improve the quality of human resources. Therefore, it is very necessary to study public health from various aspects, so that the goals and targets to be achieved can be realized. One of the studies presented was the use of contraceptives for rural communities, especially rural communities in Suralaga District, East Lombok Regency - West Nusa Tenggara. The use of contraceptives, which is one of the methods used in implementing family planning, is still at a relatively low level. Based on the data held relating to this matter, analysis and data processing are needed in determining the decisions to be taken to determine the effect of contraceptives in improving public health. Data processing and analysis is carried out using the Random Forest algorithm, which is due to the appropriate characteristics of the datasets used. To get the best results or performance in determining the level of accuracy, the datasets used have 10 attributes, namely: full name, age, last education, couple of childbearing age, age at first pregnancy, age at first birth, ready for birth control, contraceptives, following the contact program, and birth distance. The accuracy obtained was 71.99% with the decision tree output that the most common and efficient contraceptives used in the Suralaga District area were birth control pills and birth control injections.