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All Journal Jurnal Penelitian Komunikasi dan Opini Publik INTECOMS: Journal of Information Technology and Computer Science Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Brilliance: Research of Artificial Intelligence Jurnal Inovasi Masyarakat Jurnal Algoritma Jurnal Pengabdian Masyarakat: BAKTI KITA
Azizah Zakiah
Universitas Widyatama
Arts Humanities Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Public Health Social Sciences Other

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Implementasi Metode Action Research untuk Peningkatan Daya Saing Umkm Melalui E-Commerce Azizah Zakiah; Ardhian Ekawijana; Eka Angga Laksana
Jurnal Penelitian Komunikasi dan Opini Publik Vol 23, No 1 (2019): JURNAL PENELITIAN KOMUNIKASI DAN OPINI PUBLIK - Juli 2019
Publisher : BPSDMP Kominfo Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33299/jpkop.23.1.1727

Abstract

Bandung city has Binong Jati knitting textile center established since 1965. This region is famous to neighboring countries because its knitted products are exported to Singapore, Brunei Darussalam, and Malaysia. Wanina Store and Karimake Store is a production house located in Binong Knitting Village. Production capacity has decreased significantly due to decreased sales volume so that it affects the level of business profits and impact on the low level of production. These SMEs are still using conventional ways in marketing their products and their knowledge in innovating technology is still low. Both partners are still using traditional marketing methods. They have not taken advantage of the existing marketplace or social media, due to the level of skills in the mastery and utilization of information technology is very low. So, the solution to the problem is (1) create an e-Commerce-based website to increase market share expansion and sales management. (2) provide training on the use of e-commerce that has been made. (3) provide training on the utilization of top 5 popular. The research method used in this research is the action research method and to measure the success of the system that has been implemented using the DeLone & Mc lean framework.Keywords : Action Research, SMEs, e-commerce, Improving, DeLone &Mc Lean.
Penerapan Natural Language Processing (NLP) di bidang pendidikan Fitrah Rumaisa; Yan Puspitarani; Ai Rosita; Azizah Zakiah; Sriyani Violina
Jurnal Inovasi Masyarakat Vol. 1 No. 3 (2021): Jurnal Inovasi Masyarakat
Publisher : LP2M Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (572.753 KB) | DOI: 10.33197/jim.vol1.iss3.2021.799

Abstract

NLP adalah cabang dari kecerdasan buatan (AI) yang berhubungan dengan melatih komputer untuk memahami, memproses, dan menghasilkan bahasa. Salah satu implementasi NLP yang sangat penting adalah penerapannya di dunia pendidikan. NLP adalah proses yang efektif untuk membantu siswa dalam proses pembelajaran. Menerapkan NLP dalam lingkungan pendidikan tidak hanya membantu dalam mengembangkan proses bahasa yang efektif, tetapi juga penting untuk meningkatkan prestasi akademik. Beberapa penerapan NLP di dunia pendidikan adalah Peringkasan Teks dan Paraphrasing, Tanya Jawab, Chatbot (feedback dari pendidik), Evaluasi Ejaan dan Grammar
Model of NFT Implementation on Web SSO over OpenID Connect and Oauth 2.0 protocols Esa Fauzi; Sy Yuliani; Yenie Syukriyah; Azizah Zakiah
INTECOMS: Journal of Information Technology and Computer Science Vol 6 No 2 (2023): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v6i2.6972

Abstract

Single Sign-On (SSO) is a mechanism that allows users to access various services using a single set of login credentials. However, in SSO implementations, there are still challenges related to security and authentication management, particularly attacks targeting the Identity Provider (IDP). To address this, the use of Non-Fungible Tokens (NFTs) as proof of IDP ownership has been proposed as a solution to enhance security in the authentication mechanism. The utilization of NFTs in SSO with OpenID Connect and OAuth 2.0 has the potential to improve security and convenience in the authentication process due to the unique and non-duplicable nature of NFTs. The results of this research present a model and design of SSO with NFTs on OpenID Connect and OAuth 2.0. An SSO application with login, register, and password recovery features was also developed to provide convenience to users during the login process. The findings conclude that the utilization of NFTs in SSO with OpenID Connect and OAuth 2.0 has the potential to enhance security and convenience in the authentication mechanism. Further research is needed to explore aspects such as scalability, in-depth security analysis, testing in real-world scenarios, improvement of integration and interoperability, as well as comparative analysis with other SSO technologies.
Integrated Learning Model: A Blend of Project-Based Approach and SDLC Concepts for Software Engineering Courses, Evaluated through EUCS Esa Fauzi; Azizah Zakiah; Yenie Syukriyah; Sy Yuliani
INTECOMS: Journal of Information Technology and Computer Science Vol 6 No 2 (2023): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v6i2.8171

Abstract

Online learning and face-to-face learning are two examples of current learning models. Online learning has the advantage of time and place flexibility as it can be conducted remotely. Meanwhile, face-to-face learning excels in the teacher-student relationship as they can meet in person. However, particularly in online learning, not all subjects can be taught optimally, such as practical courses. Blended learning is one solution for a combined learning model that can leverage both online and face-to-face learning. One of the most challenging subjects in online learning is software engineering, which requires practical exercises to write application code. There are various types of blended learning models, but we propose a blended learning model specifically based on the Software Development Lifecycle (SDLC) pattern in software engineering course materials. We do this to maximize the learning process. We also integrate blended learning with a project-based concept, as this course is well-suited for project-based learning. In evaluating this model, we analyze the satisfaction level using the end-user computing satisfaction method. The sample consists of 60 students from the Computer Science program, selected using accidental sampling. The data analysis and processing methods employed in this study include t-tests, F-tests, and multiple linear regression. The research yields a satisfaction level of 71%. The results of hypothesis testing also show that the variables Ease of Use and Timeliness have a significant positive partial impact on student satisfaction.
Data Menuju Pengetahuan dengan Pemanfaatan Data Science Puspitarani, Yan; Rumaisha, Fitrah; Zakaria, Ai Rosita; Violina, Sriyani; Zakiah, Azizah
Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Vol 6, No 1 (2023): Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstormin
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/japhb.v6i1.4060

Abstract

Pengolahan data merupakan hal yang sangat penting bagi institusi pencari laba maupun non laba. Melalui data, institusi mendapatkan pengetahuan yang akan mendukung pihak eksekutif dalam mengambil keputusan untuk strategi bisnisnya. Oleh karena itu, pengolahan data yang baik dapat memberikan dampak yang baik bagi institusi. Institusi bisa mendapatkan berbagai pengetahuan seperti segmentasi pelanggan dan pola pembelian pelanggan untuk kebutuhan marketing, bahkan prediksi kerusakan alat untuk keperluan maintenance dengan memanfaatkan pengolahan data. PT Delima Jaya Katiga membutuhkan pengolahan data untuk melakukan segmentasi dan pola penggunaan jasa pelanggan untuk menemukan potensi pelanggan baru guna menaikkan laba usaha. Oleh karena itu, kegiatan pengabdian ini akan memberikan informasi mengenai data science dan memberikan pelatihan pengolahan data sebagai solusinya.
Implementasi Metode Wavelet Transform dengan ARIMA untuk memprediksi Kebutuhan Bahan Baku Obat di PT. Seikyo Indochem: Studi Kasus Pendekatan Hybrid Time Series pada Industri Farmasi Lolowang, Juan Marten Daniel; Zakiah, Azizah
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2399

Abstract

The optimal availability of pharmaceutical raw materials is a vital aspect in ensuring the continuity of production within the pharmaceutical industry. PT. Seikyo Indochem faces challenges in accurately forecasting raw material requirements due to the fluctuating and complex nature of the data. This study implements the Wavelet Transform method combined with ARIMA (Auto-Regressive Integrated Moving Average) to enhance the accuracy of demand forecasting. Wavelet Transform is utilized to decompose historical data into low- and high-frequency components, enabling a more in-depth analysis of seasonal patterns and trends. The low-frequency component is analyzed using ARIMA to predict long-term patterns, while the high-frequency component is used to capture short-term fluctuations. The results show that this hybrid approach reduces the prediction error (Mean Absolute Percentage Error) by 15 percent compared to using ARIMA alone. This model provides a more reliable predictive solution to support efficient inventory management of pharmaceutical raw materials.
Implementation of C5.0 Algorithm in Cement Stock and Purchase Management at PT. Maktal Maulida, Rezky Salman; Zakiah, Azizah
Brilliance: Research of Artificial Intelligence Vol. 6 No. 1 (2026): Brilliance: Research of Artificial Intelligence, Article Research May 2026
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v6i1.7744

Abstract

Stock management is a crucial activity in the supply chain of any company, including PT. Maktal, which operates in cement distribution. The stock management system, which still relies on experience and manual methods, has the potential to cause a mismatch between demand and supply, ultimately leading to excessive inventory costs (overstock) or product shortages (stockout). The implementation of Machine Learning offers a solution to enhance the accuracy of stock needs planning. This study aims to develop and compare the performance of machine learning models, specifically the Decision Tree (C5.0) and Random Forest algorithms, in predicting the category of cement stock needs (Low, Medium, High) based on historical transaction data. The data used are historical cement sales and ordering transactions of PT. Maktal from 2020 to 2024. The stock quantity data was converted into categorical variables (Low, Medium, High) through a discretization process. Both algorithms were tested and evaluated for their performance using accuracy, precision, recall, and F1-score metrics through a cross-validation test. The comparative results indicate that the Random Forest algorithm provides the best prediction performance with an accuracy level reaching 79.91%. This performance is significantly higher than that of the Decision Tree algorithm. Feature importance analysis identified that the Purpose (customer type) and Month variables are the most influential predictors of the stock needs category. The Random Forest model proved to be effective and reliable as a data-driven decision support system to optimize stock planning and cement purchasing at PT. Maktal, reducing the risk of losses due to demand uncertainty.
PENINGKATAN LITERASI BAGI APARATUR LAYANAN PUBLIK MELALUI EDUKASI TEKNOLOGI BLOCKCHAIN DALAM MENDUKUNG LAYANAN E-GOVERNMENT DI SAMSAT KUNINGAN Azizah Zakiah; Viddi Mardiansyah; Ulil Surtia Zulpratita; Yenie Syukriyah
Jurnal Pengabdian Masyarakat : BAKTI KITA Vol. 7 No. 1 (2026): Nopember - April
Publisher : LPPM Universitas Islam Darul 'Ulum Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/baktikita.v7i1.12484

Abstract

Digital transformation in public services requires the enhancement of technological literacy among government officials, particularly regarding blockchain technology which has the potential to improve transparency, data security, and efficiency in e-Government services. However, the level of understanding of this technology among public service officers remains relatively low. This Community Service Program (PKM) aims to improve blockchain technology literacy among public service officers at the Regional Revenue Management Center of Kuningan Regency as part of efforts to support e-Government development. The activity was conducted through a webinar-based socialization and educational program consisting of material presentations, interactive discussions, and evaluation of participants’ understanding using pre-test and post-test instruments. The results indicate a significant improvement in participants’ understanding, where most participants who were initially in the low understanding category shifted to the good understanding category after the activity. This improvement is also reflected in the Understanding Index (UI) and the percentage of learning achievement increase. Furthermore, high participant enthusiasm and active involvement during the activity demonstrate the effectiveness of the program. This PKM activity provides a meaningful contribution to strengthening the readiness of human resources as an initial foundation for implementing blockchain technology to support more transparent, secure, and efficient e-Government services.
Co-Authors Ai Rosita Ardhian Ekawijana Eka Angga Laksana Esa Fauzi Fitrah Rumaisa Lolowang, Juan Marten Daniel Maulida, Rezky Salman Sriyani Violina SY Yuliani Ulil Surtia Zulpratita Viddi Mardiansyah Yan Puspitarani Yenie Syukriyah