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All Journal JURNAL SISTEM INFORMASI BISNIS Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Pilar Nusa Mandiri Jurnal Matematika Sains dan Teknologi J-SAKTI (Jurnal Sains Komputer dan Informatika) CERIA (Cerdas Energik Responsif Inovatif Adaptif) Building of Informatics, Technology and Science Jurnal Informasi dan Teknologi Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Tematik : Jurnal Teknologi Informasi Komunikasi Jurnal Teknik Informatika (JUTIF) J-SAKTI (Jurnal Sains Komputer dan Informatika) Insearch: Information System Research Journal International Journal Software Engineering and Computer Science (IJSECS) Joutica : Journal of Informatic Unisla Journal Of Human And Education (JAHE) Journal International Inspire Education Technology (JIIET) World Psychology Jurnal Sistim Informasi dan Teknologi Innovative: Journal Of Social Science Research Lughawiyah: Journal of Arabic Education and Linguistics Journal of Social Science Utilizing Technology Jurnal Informatika: Jurnal Pengembangan IT Journal of World Future Medicine, Health and Nursing Journal of Social Science Utilizing Technology Dedikasi Nusantara
Rini Nuraini, Rini
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Utilization of ICT in Improving Four Arabic Language Learning Skills in Higher Education Nuraini, Rini; Guilin, Xie; Jiao, Deng; Sarip, Mohamad; Mahfuz, Taufik Warman
Journal International Inspire Education Technology Vol. 3 No. 1 (2024)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jiiet.v3i1.624

Abstract

The use of ICT is everything that is used to communicate and create, manage and distribute information. The use of ICT can help Arabic language students in improving the four maharah skills. By applying ICT in learning, students' difficulties in the Arabic learning process can be significantly reduced. This is due to the innovation in learning in higher education by utilizing ICT during the teaching and learning process of students. The purpose of this research is to support Arabic language learning with ICT learning system in higher education. The method used in this research is quantitative method, which can show that this research contains numerical data. The data was obtained by using geogle from as a means to create a questionnaire containing questions and then distributed to respondents who were used as research subjects. The results showed that with the utilization of ICT in learning, it can improve four Arabic language skills in college. The conclusion of this study is that ICT can be used in learning Arabic to increase student enthusiasm and know the ability to understand Arabic learning in college. The limitation of this study is that the researcher only conducted research on the utilization of ICT as a medium of Arabic learning
Increasing Students' Understanding by Using ICT in Elementary Schools Tusriyanto, Tusriyanto; Hikmah, Nurul; Intes, Amina; Nuraini, Rini; Pahmi, Pahmi
Journal International Inspire Education Technology Vol. 3 No. 1 (2024)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jiiet.v3i1.626

Abstract

This study aims to explore students' experiences in using information and communication technology (ICT) in learning and how it can improve their understanding in primary school. This research was conducted using a qualitative approach, involving 12 students from an elementary school in X city. Data were collected by in-depth interviews and observations, the collected data were then analyzed using content analysis method to identify patterns, themes, and meanings from the generated data. The results showed that the use of ICT in learning provides a positive experience for students and can improve their understanding in various subjects. Students experience changes in the way they acquire and process information, as well as in the way they interact with teachers and classmates. In addition, the use of ICT also motivates students to be more active in learning and improves their learning outcomes. However, there are some barriers that students face in using ICT in learning, such as technical difficulties and limited access. Therefore, this study concludes that the use of ICT in learning can improve students' understanding, but it needs to be balanced with efforts to overcome the barriers that arise. The conclusion of this study explains that the application of Information and Commucation Technology (ICT)-based learning media in schoolchildren
The Application of Convolutional Neural Networks in Floristic Recognition Legito; Nuraini, Rini; Judijanto, Loso; Lubis, Ahmadi Irmansyah
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1827

Abstract

In the dynamic field of computer vision, this research explores the application of Convolutional Neural Networks (CNNs) for the complex task of floristic recognition, a critical aspect of botanical and ecological studies. Addressing the challenges posed by the vast diversity and subtle morphological differences among plants, our study leverages CNNs for an efficient and accurate plant identification method. Distinguished by a comprehensive dataset encompassing a wide range of plant species and employing a state-of-the-art CNN model, our research significantly advances the methodology of flower recognition. This paper highlights the CNN model's sophisticated feature extraction and image analysis capabilities, demonstrating its superior performance in classifying a diverse range of flora compared to traditional methods and other machine learning techniques like Support Vector Machines (SVM) and decision trees. Our approach emphasizes practical applications in areas such as agriculture, ecology, and conservation, and offers a powerful tool for rapid and efficient plant identification, crucial in biodiversity studies. The research contributes to the fields of botany, ecology, and environmental conservation, underscoring the transformative potential of CNNs in floristic recognition. It also outlines the future direction for enhancing the model's efficiency, including developing more computationally efficient architectures and expanding training datasets.
Sistem Pendukung Keputusan Pemilihan Vendor IT Menggunakan Metode Perbandingan Eksponensial (MPE) Rusliyawati, Rusliyawati; Nuraini, Rini
Insearch: Information System Research Journal Vol 2, No 02 (2022): Insearch (Information System Research) Journal
Publisher : Fakultas Sains dan Teknologi UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/isrj.v2i02.4382

Abstract

Perusahaan dalam pengembangan teknologi informasi akan membutuhkan bantuan vendor Information Technology (IT). Pemilihan vendor merupakan suatu hal yang penting dalam perusahaan atau organisasi. Untuk memilih vendor yang tepat, biasanya melalui pengumpulan data dan informasi mengenai vendor tersebut, kemudian dilanjutkan dengan membahas kelebihan dan kekurangan masing-masing vendor yang potensial. Tetapi metode ini memakan waktu dan kurang objektif. Penelitian ini memiliki tujuan untuk mengembangkan sistem pendukung keputusan dalam memilih vendor IT dengan metode MPE berbasis website agar memudahkan pengambilan keputusan dalam menentukan vendor IT yang sesuai dengan kebutuhan. Sistem Pendukung Keputusan (SPK) yang dikembangkan berbasis website yang mempunyai fasilitas diantaranya dapat melakukan pengelolaan data kriteria, bobot, alternatif, penilaian alternatif, proses perhitungan MPE dan daftar hasil kinerja vendor. Dari hasil uji black-box testing memperlihatkan bahwasanya sistem yang dikembangkan telah berjalan dengan baik.
The Role of E-Books in Improving Learning Achievement of Integrated Islamic Junior High School Students Nuraini, Rini; Barroso, Uwe; Mukarromah, Indah; Intes, Amina; Khoir, Qoidul
World Psychology Vol. 3 No. 1 (2024)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/wp.v3i1.616

Abstract

At this time the world of education has depended on technology and the internet, all education personnel utilize technology as a tool in the teaching and learning process. Likewise, the role of E-books in improving student achievement at school at this time. The purpose of this study was to determine the role of E-books in improving student achievement by applying E-book media as an innovative learning media. The type of research method used is a quantitative method with a survey model and distributes online-based questionnaires via google form. Researchers hope that the results of the research conducted can increase student understanding through the E-book platform as a support in improving learning achievement. The conclusion of this study is that the role of E-books for students can help in improving student learning achievement. Therefore, the limitation of this research is that researchers only conduct online surveys and are not conducted thoroughly only in certain schools, researchers hope that future researchers can conduct research in other schools to make it more effective and efficient.
Pengembangan Sistem Klasifikasi Tipe Kepribadian Siswa Secara Psikologis dengan Algoritma Decision Tree C.45 Nuraini, Rini; Al Hakim, Rosyid Ridlo; Lisnawati, Tuti; Fariati, Wieke Tsanya
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (483.474 KB) | DOI: 10.47065/bits.v3i3.1045

Abstract

In the world of education knowing the personality type of students is very important. This is because a person's personality is influential in his learning activities and how he digests and captures the material presented by the teacher. For this reason, knowing the classification of students' personalities needs to be identified so that teachers or students themselves can optimize self-change in a better and positive direction. This study aims to develop a psychological classification system for student personality types using the C.45 decision tree algorithm. The personality type used as a class in the classification is based on psychology, including: Sanguine, Phlegmatic, Choleric and Melancholic. In this study, a web-based system was developed, so that it is easy to use for teachers and students to recognize the personality of these students. To determine the personality of students psychologically, students answer questions in the system, then the system will classify based on the answers from these students. The C.45 decision tree algorithm serves to find knowledge or patterns of characteristic similarity in a particular group or class. From the test results, the pecision value is 90%, the recall is 85% and the accuracy is 88%. This shows that the C.45 decision tree algorithm can perform personality type classification well
Implementasi Jaringan Syaraf Tiruan Menggunakan Metode Self-Organizing Map Pada Klasifikasi Citra Jenis Ikan Kakap Nuraini, Rini
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2558

Abstract

Snapper is one of the favorite fish for consumption because it has a myriad of benefits for the human body. There are many types of snapper, especially snapper which is often found in Indonesian waters. Knowing the types of snapper is important knowledge because snapper has different characteristics, for example there are snapper that can be consumed and there are also types of snapper that can be cultivated. However, the lack of information and similar types of snapper makes it difficult for people to identify the type of snapper. This study aims to implement a Self-Organizing Map (SOM) artificial neural network for classification of snapper species based on color and texture characteristics. In order to provide information about the snapper object to be classified, color and texture feature extraction is used. In color feature extraction, RGB and HSV parameters are used and for texture features, the Gray Level Co-occurrence Matrix (GLCM) approach is applied. Furthermore, the characteristic results obtained will be classified using the Self-Organizing Map (SOM) algorithm which divides the input patterns into certain classes so that the network output is in the form of classes that have similarities to the given input. Based on the results of the accuracy test, the built model is capable of producing an accuracy of 89.89%. Thus, the SOM model built for image classification of snapper species is in the good category.
Implementation of Profile Matching in the Decision Support System for Best Student Selection Rumandan, Rhaishudin Jafar; Nuraini, Rini; Sari, Marliana
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2587

Abstract

The determination of outstanding students is carried out by schools, which provide scholarships to their students in order to provide motivation to improve their academic achievement. The selection of the best students is usually done by looking at the student's report card scores, followed by the homeroom meeting. This is considered not objective and requires a long time to select the best students. Through a decision-support system, the best students can be selected based on the best criteria and alternatives. In a decision support system, a method is needed to determine the best alternative. The profile matching method is considered to have a better level of objectivity because, to measure the value of each indicator, the valuation variable is derived again with sub-indicators and is weighted using assessment parameters. This study aims to solve the problem of selecting the best student through a decision-support system with the output in the form of a ranking using the profile matching method. Based on the calculation of profile matching, it shows that the results of calculating the final score of the best student 1 are a final score of 3.000, the best student 2 gets a final score of 2.955, and the best student 3 gets a final score of 2.693. From the final score, first place in the selection of the best student was Putri Nurlandari with a final score of 3.000.
Klasifikasi Jenis Tanaman Fast Growing Species Menggunakan Algoritma Radial Basis Function Berdasarkan Citra Daun Nuraini, Rini; Harlena, Silvia; Amalya, Farida; Ariestiandy, Deny
Building of Informatics, Technology and Science (BITS) Vol 4 No 4 (2023): March 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i4.3245

Abstract

Indonesia has vast forests, even ranked as the third largest forest in the world. However, currently many forest areas have been deforested or the phenomenon of losing tree cover and forest areas. Forest rehabilitation programs develop by prioritizing plant or tree species that have fast growth or are called fast growing species. However, many people do not know about these fast growing species. Even though knowledge about the types of fast growing plant species is very important for the community to have so that the community can find out which plants can accelerate forest rehabilitation. Fast growing species of plants can actually be identified from the shape of the leaves. This study aims to build a classification model for fast growing species plant images based on leaf images by applying the Radial Basis Function (RBF) artificial neural network algorithm with morphological feature extraction. Morphological feature extraction is used to identify the shape of an object in order to obtain feature values based on predetermined parameters. These features then become input for the RBF artificial neural network to obtain learning patterns. The RBF network has three layers that are feedforward so that it can support solving classification or pattern recognition problems. Based on the results of accuracy testing, an accuracy value of 87.50% was obtained. This means that the Radial Basis Function (RBF) neural network is able to classify fast growing plant species based on leaf images.
Sistem Pendukung Keputusan Pemilihan Platform Investasi P2P Lending Menggunakan Metode Complex Proportional Assessment (COPRAS) Bagir, Muhammad; Riyanto, Umbar; Nuraini, Rini; Kustiawan, Dedi
Building of Informatics, Technology and Science (BITS) Vol 4 No 4 (2023): March 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i4.3246

Abstract

Through technological developments, many fintech P2P lending have emerged which are competing to offer convenience in transactions and offer fast processes. To determine a P2P lending platform as a place to invest, one must know in advance about the company profile or the application and programs offered as a whole. This of course will take a long time to select a P2P lending platform. If you choose an inappropriate P2P lending platform, it will result in losses. The purpose of this research is to build a Decision Support System (DSS) for choosing a P2P lending platform by implementing the Complex Proportional Assessment (COPRAS) approach in order to get the right decision and not take a long time. The COPRAS approach has the ability to produce the best alternative which is limited to alternative analysis through alternative assumptions by providing utility judgment so that the attributes of each alternative are arranged based on intervals. Based on the results of the case studies conducted, the highest utility score was Danamas Lender with a score of 100, then followed by Alami Funding Sharia with a score of 99.2338, Accelerant with a score of 89.8827 and Amartha Microfinance with a score of 83.4988. In addition, based on the results of black box testing, it shows that the software can run as it should.
Co-Authors ., Rusliyawati Adi Wibowo Ady Bakri, Asri Afrizal Zein Alamsyah, Dedy Alfry Aristo Jansen Sinlae Ali, Amir Almahdali, Fadila Amalya, Farida Amsal Nasution, Muhammad Ariestiandy, Deny Baharuddin Baharuddin Barroso, Uwe Cahyadi Supyansuri Damuri , Amat Daniar - Sofeny, Daniar - Dartono, Dartono Dendy K. Pramudito Desri , Syuryatman Didit Hadayanti, Didit Dito Anurogo, Dito Dwi Irnawati Edhie Rachmad, Yoesoep Fariati, Wieke Tsanya Fauziah, F Fiidznillah, Rizki Fryda Fatmayati Guilin, Xie Handayani, Nurdiana Hapzi Ali Hariyono Hariyono Harlena, Silvia Herlan, Agus Ida Farida indah mukarromah Indra Jaya Indri Yani, Indri Intes, Amina Irwanto Irwanto Iskandar Fitri, Iskandar Jiao, Deng Judijanto, Loso Junaed, Ismail Khak, Muhammad Kushariyadi Kusnadi, Iwan Henri Kustiawan, Dedi Lamboy Sinaga, Victor Legito Liesnaningsih, Liesnaningsih Lisnawati, Tuti Lubis, Ahmadi Irmansyah Mahfuz, Taufik Warman Marliana Sari, Marliana Matnin MoHa, luqman Muchlis, Muhammad Muttaqin Muhamad Risal Tawil Muhammad Bagir Muhammad, Fauzan Murien Nugraheni Nurul Hikmah Pahmi Pahmi Prayogi, Bayu Setyo Purwito . Pusitasari, Mariana Diah Qoidul Khoir Ramadhan, Syam Rambe, Mirza Syadat Rijal, Syahmsu Rini Susanti Riyanto, Umbar Rossi, Farli Rosyid Ridlo Al-Hakim Rumandan, Rhaishudin Jafar Rusdianto, Hengki Sari, Linda Ratna Sarip, Mohamad Septarini, Ri Sabti Siti Nurhayati Siwi Anggraeni, Gita Soares, Teotino Gomes Syafii, Muhammad Faiz Taslim, Denis Taufik, Deni Ahmad Tonggiroh, Mursalim Tri Yusnanto TRIANA, ENDANG SHYTA Trianto, Joko Tusriyanto Tusriyanto Uky Yudatama Utami, Eva Yuniarti Victor Benny Alexsius Pardosi Wahyuddin, M Iwan Wahyul Amien Syafei Wahyul Amien Syafei Widia Nurdiani, Tanti Yudaningsih, Nunik Zuhroh, Siti