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Use of The Merdeka Teaching Platform Application In The Implementation of the Independent Curriculum Alawiah, Enok Tuti; Setyorin, Dini
IJISTECH (International Journal of Information System and Technology) Vol 7, No 3 (2023): The October edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v7i3.312

Independent Teaching Platform is an application launched by the Ministry of Education, Culture, Research and Technology aimed at teachers in the framework of adaptation to the independent curriculum. This application must be used by teachers to share information, good practices, aspiration videos and learning resources. The Merdeka Mengajar Platform is an application launched by the Ministry of Education, Culture, Research and Technology aimed at teachers in the framework of adaptation to the independent curriculum. This application must be used by teachers to share information, good practices, aspiration videos and learning resources. However, the Merdeka Mengajar Platform has not been fully accepted by teachers because not all teachers have the ability to access information technology, inadequate infrastructure, difficulty accessing and lack of motivation in learning the new paradigm so that they enter into using the old paradigm in the learning process in class. This study uses the TOPSIS method, which is a multi-criteria method used to find the most ideal preference value in the decision-making process. The results of the study obtained a score of 8.35 for the Readiness of the Education Unit, which means that the use of the Merdeka Mengajar Platform in its implementation requires the readiness of the Education unit which consists of the Principal, Learning Committee and Teachers

Implementasi Metode TOPSIS pada Penerima Bantuan Sosial Akibat Covid19 di Desa Kotabatu Ciomas Bogor Alawiah, Enok Tuti; Putri, Dwi Andini
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.299

During the Covid 19 pandemic in 2020, many sectors were affected, one of which was the economic sector. Kotabatu Village, Ciobas District, Bogor Regency is a village that has been affected by social impacts due to the COVID-19 pandemic. Many people are forced to lose their jobs. Therefore, the Government provides cash social assistance. But the problem is that the provision of funds must be right on target only for the people who are affected. So that a decision support system is needed to determine the right policy. In this study, the TOPSIS method will be used as the best method for preference values and will be tested on 133 population samples. The results of the research conducted on the sample obtained a final score of 0.65, namely people who lost their jobs. So the provision of assistance can prioritize people who have lost their jobs in order to get help due to the COVID-19 pandemic

Implementation of Artificial Intelligence based on Natural Language Processing to Enhance MSME Sales Alawiah, Enok Tuti; Setyorini, Dini; Apriyani, Helina
IJISTECH (International Journal of Information System and Technology) Vol 8, No 3 (2024): The October edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i3.362

Micro, small and medium enterprises have contributed to gross domestic product and help support the people's economy. However, there are many challenges in the era of digital transformation so that MSMEs must innovate so that their products can be accepted by the market more widely. This study aims to help MSMEs increase their sales by carrying out digital transformation through a website-based sales information system equipped with a chatboot facility based on natural language processing. The goal is to provide a different experience for customers in shopping online and convenience for MSMEs in providing customer service satisfaction. The implementation of artificial intelligence based on natural language processing is expected to help micro, small and medium enterprises in expanding the market, increasing sales and providing a different experience in shopping.

Implementasi Metode TOPSIS pada Penerima Bantuan Sosial Akibat Covid19 di Desa Kotabatu Ciomas Bogor Alawiah, Enok Tuti; Putri, Dwi Andini
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

During the Covid 19 pandemic in 2020, many sectors were affected, one of which was the economic sector. Kotabatu Village, Ciobas District, Bogor Regency is a village that has been affected by social impacts due to the COVID-19 pandemic. Many people are forced to lose their jobs. Therefore, the Government provides cash social assistance. But the problem is that the provision of funds must be right on target only for the people who are affected. So that a decision support system is needed to determine the right policy. In this study, the TOPSIS method will be used as the best method for preference values and will be tested on 133 population samples. The results of the research conducted on the sample obtained a final score of 0.65, namely people who lost their jobs. So the provision of assistance can prioritize people who have lost their jobs in order to get help due to the COVID-19 pandemic

Implementation of Artificial Intelligence based on Natural Language Processing to Enhance MSME Sales Alawiah, Enok Tuti; Setyorini, Dini; Apriyani, Helina
IJISTECH (International Journal of Information System and Technology) Vol 8, No 3 (2024): The October edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i3.362

Micro, small and medium enterprises have contributed to gross domestic product and help support the people's economy. However, there are many challenges in the era of digital transformation so that MSMEs must innovate so that their products can be accepted by the market more widely. This study aims to help MSMEs increase their sales by carrying out digital transformation through a website-based sales information system equipped with a chatboot facility based on natural language processing. The goal is to provide a different experience for customers in shopping online and convenience for MSMEs in providing customer service satisfaction. The implementation of artificial intelligence based on natural language processing is expected to help micro, small and medium enterprises in expanding the market, increasing sales and providing a different experience in shopping.

Implementation of the Topsis Method in Determining Online Shopping Options in the Marketplace Tuslaela, Tuslaela; Alawiah, Enok Tuti; Apriyani, Helina
Vertex Vol. 14 No. 2 (2025): June: Computer Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ckpd8y89

The development of information technology changes the way customers view shopping. Currently, customers are more likely to make online shopping transactions through the marketplace. Significantly increased internet penetration, ease of transactions, seller reputation, speed of service, ease of access are factors that support customers in making shopping transactions in the marketplace. However, customers need to decide wisely before making a shopping transaction so that the products obtained are in accordance with expectations. This study uses the TOPSIS method, a method in the decision-making process to choose an ideal solution based on the criteria offered. The results of the study obtained a result of 0.85 for product reviews as an alternative preference in shopping online through the marketplace.

Pemanfaatan Content Management System (CMS) Berbasis PHP Sebagai Media Digital Upaya Branding Pengenalan Diri (Personal) Pada Komunitas Bogor Mengabdi Enok Tuti Alawiah; Dicky Hariyanto; Rahmat Tri Yunandar; Helina Apriyani Apriyani
PRAWARA Jurnal ABDIMAS Vol 1 No 2 (2022): PRAWARA JURNAL ABDIMAS
Publisher : CV. Manha Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63297/abdimas.v1i2.24

Pengabdian Masyarakat merupakan salah satu point penting dari Tridharma Perguruan Tinggi. Pada hakikatnya dosen merupakan fasilitator yang berperan aktif dalam kegiatan yang bermanfaat kepada masyarakat. Dengan kemmpuan yang dimiliki oleh Dosen, diharapkan mampu merangkul segala lini dalam penyebaran dan transfer ilmu pengetahuan dan pelatihan. Saat ini mitra hanya memiliki beberapa komputer dan hanya sebagian kecil staff yang mampu mengoperasikan komputer dengan baik. Sebagai wadah pengabdian berbentuk komunitas bagi pemuda-pemudi Bogor yang berada di Kota maupun Kabupaten, anggota Bogor mengabdi perlu melakukan personal branding kepada masyarakat. Masyarakat akan dapat mengenal lebih dekat peranan dan kontribusi Bogor Mengabdi dengan membuka blog yang terdapat personal branding serta kegiatan-kegiatan yang sudah dilakukan oleh anggota Bogor Mengabdi. Oleh karena itu, salah satu cara untuk melaksanakan tridharma perguruan tinggi adalah dengan melakukan pengabdian masyarakat dengan mitra sasaran yaitu anggota komunitas Bogor Mengabdi dengan cara memberikan pelatihan pemanfaatan Content Management System (CMS) berbasis php sebagai media digital upaya branding pengenalan diri (personal) pada komunitas bogor mengabdi. Pelatihan ini penting dilakukan agar komunitas Bogor Mengabdi memiliki kemampuan untuk merancang Content Management System (CMS) yang bertujuan agar dapat mengenalkan komunitas secara lebih luas ke masyarakat.

Analysis of the Impact of Backpropagation Hyperparameter Optimization on Heart Disease Prediction Models Nita Syahputri; Putrama Alkhairi; Enok Tuti Alawiah
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 4 (2025): August 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i4.6473

Heart disease is a major global health issue, highlighting the need for early and accurate prediction to reduce complications and improve patient outcomes. The Backpropagation Neural Network (BPNN) is a widely used method for heart disease prediction, but its performance relies heavily on proper hyperparameter selection, including neuron count, activation function, optimizer, and batch size. This study analyzed the impact of hyperparameter optimization on BPNN performance. A standard BPNN model was compared with an optimized version, where key hyperparameters were fine-tuned to enhance predictive accuracy and stability. Both models were trained and tested on the same dataset, and their performance was evaluated using Accuracy, Precision, Recall, Mean Squared Error (MSE), and Mean Absolute Error (MAE). The results show that the optimized model achieves a slightly better accuracy (99.11% vs. 99.09%) and lower error rates (MSE and MAE of 0.0089 vs. 0.0091). It also demonstrates higher precision, reflecting an improved capability in correctly identifying heart disease cases. Although the performance gap was small, the optimized model showed a more balanced and consistent outcome. These findings highlight the importance of hyperparameter tuning for improving neural network models for medical prediction. This study contributes to the development of more accurate and reliable AI tools for the early diagnosis of heart disease. Future studies may apply advanced optimization techniques, such as Bayesian Optimization or Genetic Algorithms, and use larger and more diverse datasets to enhance model generalization.

Digital Leadership and Digital Transformation: Systematic Literature Review Alawiah, Enok Tuti; Tukiran, Martinus
International Journal of Social and Management Studies Vol. 5 No. 3 (2024): June 2024
Publisher : IJOSMAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5555/ijosmas.v5i3.410

This article aims to conduct a systematic review of Digital Leadership and Digital Transformation in Education. The search was conducted for publications in the period 2020-2024 and found 81 articles which were then filtered into 12 articles. The research framework uses PRISMA. The purpose of the study is to identify digital leadership and digital transformation practices in organizations and the field of Education and to find out the development of digital leadership and digital transformation research in organizations and the field of education. This study provides an overview of digital transformation and digital leadership practices in the field of Organizations and Education and the development of research related to digital leadership and digital transformation practices in organizations and the field of Education. The focus of the study is also diverse and reveals many facts about Digital Leadership and Digital Transformation, especially in the field of Organizations and Education.

Pendampingan Digital Marketing, Media Sosial Dan Modal Usaha Terhadap Forum UMKM Tajur Halang Kabupaten Bogor Muharam, Hari; Gursida, Hari; Hidayat Susilowati, Isnurrini; Widiyanti, Wiwik; Tuti Alawiah, Enok; Widasiwi, Herlin
Jurnal Abdimas Ekonomi dan Bisnis Vol. 3 No. 2 (2023): Jurnal Abdimas Ekonomi dan Bisnis
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/abdiekbis.v3i2.2923

The Tajur Halang SME Forum is an organization that consists of business operators who reside in the Tajur Halang District of Bogor Regency.These operators face challenges in marketing their products, introducing them to customers, and securing business capital for ongoing operations.The aim of this community service is to offer training in digital marketing, social media utilization for product marketing, and accessible methods for acquiring business capital.The approach involves a series of training sessions that start with group forum discussions, a situational analysis of the partners, pre-tests, main training activities, and post-tests.The results of these activities show an improvement in the partners' knowledge, skills, and abilities in digital marketing, using Instagram for branding and brand awareness, managing engagement, and accessing business capital

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