Garuda - Garba Rujukan Digital

RANCANG BANGUN APLIKASI PENCARIAN LAUNDRY BERBASIS ARSITEKTUR MICROSERVICE MENGGUNAKAN METODE RAD Vania, Rekha; Aljabar, Andi
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol 3 No 1 (2024): Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v3i1.2565

Laundry is a business engaged in providing service services, including washing, ironing, and so on. The options for laundry services nowadays are diverse, ranging from clothing, blankets, carpets, shoes, to helmets. Laundry services have rapidly expanded in various locations in the Cibinong area. However, the widespread presence of laundries coupled with a lack of internet-connected information poses difficulties for individuals in urgent need, making it challenging to find the exact and fast location of laundry services. Therefore, the author has designed and developed an application to facilitate the public in quickly and efficiently finding information and locations of laundry services. The author utilized the Java programming language for building the Android application, with PHP serving as the backend. Microservice architecture was employed, dividing the system into small services, and the Rapid Application Development method was adopted as the development approach. Blackbox testing was used as the testing method.

MENGINTERKONEKTIVITASKAN TRANSISI DAN TRANSFORMASI BELAJAR-MENGAJAR YANG BERKESETARAAN DAN BERKESEJAHTERAAN DALAM KERANGKA DIGITAL LEARNING Rumi, Jalaluddin; Resa, Asmirinda; Nurhikmah, A. Fatimah; Fillah, Muhammad; Gazali, Muhammad; Aljabar, Andi
Prosiding Temu Ilmiah Nasional Guru Vol. 15 No. 1 (2023): TING XV 2023
Publisher : Fakultas Keguruan dan Ilmu Pendidikan (FKIP), Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar

Studies on the main problems of Indonesian Education essentially highlight the educator's capability, professionality, and creativity which the fundamental problem lies in the reproduction and recruitment of educators themselves from the start. The problem becomes more complicated due to the acceleration of digital learning-based learning management systems synchronously/asynchronously, particularly in primary education as the foundation. This is also an observation and concept for the Kurikulum Merdeka implementation to overcome the education crisis through Merdeka Belajar policies, especially the Guru-Sekolah Penggerak program, the Merdeka Berbudaya media, the Merdeka Mengajar platform, and the Kampus Mengajar pattern. Such conditions are the focused study to assess opportunities for digital transformation in the teaching and learning process in elementary school and PGSD based on educators' perspectives on the students' characteristics and tendencies. This study uses a diagnostic case study method to examine the results of reports from related research institutions representatively and interpretively using internet searching techniques to be analyzed using critical discourse analysis to maintain the data commensurability. The report from the RISE Program in Indonesia, INOVASI, UNICEF Indonesia, SMERU Research Institute, and APJII then emphasized that strengthening educator competency, deepening curriculum flexibility, developing digital skills of educators and students, as well as improving teaching and learning platforms and school digital connectivity that focuses on an equitable education ecosystem is a challenge to respond the world education transformation. The results conform with OECD and UNESCO recommendations for embodying an equal and prosperous educational future. Hence, the Merdeka Belajar transition in Dikdas must become the basis for joint study to ensure the direction and realm of the Indonesian education transformation.

Implementasi Untrusted Hybrid Active Directory Dan Optimalisasi Akun Pengguna Microsoft EntraID Sebagai SSO (Single Sign-On) Yuliansyah, Edy; Nabawi, Fezan; Aljabar, Andi
Device Vol 14 No 2 (2024): November
Publisher : Fakultas Teknik dan Ilmu Komputer (FASTIKOM) UNSIQ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/device.v14i2.8084

PT X merupakan salah satu Perusahaan farmasi terbesar di Indonesia saat ini memiliki sebanyak 42 BU (Bisnis Unit), di mana 10 BU diantaranya per 2024 tercatat memiliki 3.372 user aktif yang secara manajemennya masih tergabung dalam AD (Active Directory) on-premise server yang sepenuhnya dikelola oleh Corporate IT. Secara umum kondisi tersebut memang efisien, namun di sisi lain fleksibilitas seluruh entitas dalam mengelola user dan perangkat miliknya dalam AD terbatas, karena seluruh entitas mengikuti policy yang telah ditentukan oleh Corporate IT. Terdapat pula potensi penyalahgunaan akses, karena tiap entitas hanya dipisahkan pada level OU (Organitation Unit), artinya secara tidak langsung antar entitas bisa saling berkomunikasi karena berada di Forest Domain yang sama, dampak besarnya jika server AD tersebut bermasalah. Tujuan dari penelitian ini adalah memastikan tiap entitas dapat melakukan manajemen user dan computer nya masing-masing, dengan memanfaatkan akun Microsoft EntraID (atau sebelumnya disebut juga AD Azure) untuk otentikasi Single Sign-On login komputer, email dan jaringan . Metode yang digunakan dalam penelitian ini adalah PPDIOO (Prepare, Plan, Design, Implement, Operate, dan Optimize) yaitu sebuah metode perancangan suatu siklus hidup layanan jaringan dalam mendukung pengembangan jaringan komputer. Hasil yang diharapkan dari penelitian ini ialah berupa skema manajemen Active Directory yang efisien secara biaya, sederhana dalam operasional, fleksibel dalam pengelolaan, dan agile terhadap kemajuan teknologi.

Interconnecting Equitable and Prosperous Teaching-Learning Transitions and Transformations within the Digital Learning Framework Rumi, Jalaluddin; Resa, Asmirinda; Nurhikmah, A. Fatimah; Fillah, Muh.; Gazali, Muh.; Aljabar, Andi
Edumaspul: Jurnal Pendidikan Vol 8 No 2 (2024): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Studies on the main problems of Indonesian Education essentially highlight the educator's capability, professionality, and creativity. The fundamental problem lies in the reproduction and recruitment of educators themselves from the start. The problem becomes more complicated due to the acceleration of digital learning-based learning management systems synchronously/asynchronously, particularly in primary education as the foundation. This is also an observation and concept for the Kurikulum Merdeka implementation to overcome the education crisis through Merdeka Belajar policies, especially the Guru-Sekolah Penggerak program, the Merdeka Berbudaya media, the Merdeka Mengajar platform, and the Kampus Mengajar pattern. Such conditions are the focus of the study to assess opportunities for digital transformation in the teaching and learning process in elementary school and PGSD based on educators' perspectives on the students' characteristics and tendencies. This study uses a diagnostic case study method to examine the results of reports from related research institutions representatively and interpretively using internet searching techniques to be analyzed using critical discourse analysis to maintain the data commensurability. The report from the RISE Program in Indonesia, INOVASI, UNICEF Indonesia, SMERU Research Institute, and APJII then emphasized that strengthening educator competency, deepening curriculum flexibility, developing digital skills of educators and students, as well as improving teaching and learning platforms and school digital connectivity that focuses on an equitable education ecosystem is a challenge to respond the world education transformation. The results conform with OECD and UNESCO recommendations for embodying an equal and prosperous educational future. Hence, the Merdeka Belajar transition in Dikdas must become the basis for joint study to ensure the direction and realm of the transformation of Indonesian education.

Sentiment Analysis in Indonesian’s Presidential Election 2024 Using Transfomer (Distilbert-Base-Uncased) Aljabar, Andi; Karomah, Binti Mamluatul; Tarisafitri, Nahla; Jeffry, Jeffry
Journal of System and Computer Engineering Vol 6 No 2 (2025): JSCE: April 2025
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v6i2.1867

Utilizing a transformer-based natural language processing model called DistilBERT-base-uncased, this study investigates the use of sentiment analysis in relation to Indonesia's 2024 presidential election. Particularly during political events, sentiment analysis is a potent tool for gaining insight into public opinion. The program divides public posts' sentiment into positive and negative categories by examining social media data (twitter). In order to assure consistency and correctness, the dataset used in the research has been carefully selected. DistilBERT is then used to train the model. The result shows from 19920 row of data only 4.47% of Indonesia’s citizen left positive comment.

Sentiment Analysis Using Transformer Method Aljabar, Andi; Ali, Ircham; Karomah, Binti Mamluatul
Journal of INISTA Vol 6 No 2 (2024): May 2024
Publisher : LPPM Institut Teknologi Telkom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/inista.v6i2.1383

This research delves into sentiment analysis, employing the transformative capabilities of transformer method. Specifically, leveraging BERT Models, the study aims to advance sentiment classification accuracy by intricately capturing contextual nuances and positive or negative comment on IMDB movies reviews. The transformer architecture's distinctive attention mechanism proves pivotal in comprehending intricate relationships between words, facilitating a profound understanding of sentiment in textual data. Through extensive experimentation, the study establishes the transformative prowess of these methods, showcasing their effectiveness in achieving state-of-the-art results in sentiment analysis tasks. This investigation not only contributes to the evolving landscape of sentiment analysis but also underscores the significance of transformer-based approaches in deciphering the subtleties of human expression within textual data specially for Bert models. This research will predict sentiment analysis on comment of IMDB movies and shows some results which are 3% of loss, 60% off loss validation, 98% of accuracy and 90% of validation accuracy

Klasifikasi Penyakit Pada Sawi Pakcoy Dengan Menggunakan Metode Convolutional Neural Network (CNN) Sutikno, Agung; Pohan, Sry Dhina; Aljabar, Andi
Jurnal Tika Vol 9 No 2 (2024): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/tika.v9i2.2665

The Brassisca Rapa L plant, commonly referred to as pakcoy, is a vegetable renowned for its economically significant leaves. Pakcoy thrives in both highland and lowland regions, characterized by its rapid harvest cycle and straightforward cultivation process. However, the marked increase in pakcoy cultivation has rendered the crop susceptible to diseases caused by fungi, viruses, pests, and other microbes, highlighting the necessity for effective management strategies to mitigate crop failure. This study explores the application of Convolutional Neural Networks (CNN) in the identification of pakcoy diseases through advanced pattern recognition and image analysis techniques. Utilizing a dataset comprising 1000 images of pakcoy leaves—500 depicting diseased specimens and 500 healthy ones—sourced from greenhouse plants, the images are processed using CNN with RGB configurations at a resolution of 512x512 pixels. The data training, conducted with the Adam optimizer, achieved an accuracy rate of 89.12% and a loss value of 0.240. The findings demonstrate that the CNN methodology is highly effective in accurately classifying diseases in pakcoy, thereby providing a robust framework for informed decision-making in disease prevention and management for pakcoy crops

PENGEMBANGAN APLIKASI WISUDA BERBASIS WEB DENGAN QR CODE UNTUK PERCEPATAN REGISTRASI DAN PROSESI WISUDA Ali, Ircham; Aljabar, Andi; Fahlevi, Moh Reza; Karim, Arifin A Abd
Device Vol 14 No 1 (2024): Mei
Publisher : Fakultas Teknik dan Ilmu Komputer (FASTIKOM) UNSIQ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/device.v14i1.7024

Tradisi registrasi manual dalam prosesi wisuda seringkali mengakibatkan antrian panjang, keterlambatan, dan kebingungan bagi peserta. Aplikasi wisuda dibangun menggunakan PHP dengan Framework CodeIgniter dan DBMS MySQL/MariaDB, serta didesain menggunakan pendekatan Unified Modeling Language (UML). Metode pengembangan yang digunakan adalah Rapid Application Development (RAD) untuk mempercepat proses pengembangan sistem. Fitur seperti QR Code Invitations disuguhkan sebagai kode unik dalam undangan digital pada proses registrasi sebelum memasuki ruangan wisuda. Pengujian dilakukan dengan metode Black Box Testing guna memastikan fungsionalitas sistem berjalan dengan baik. Hasil pengujian menunjukan fungsionalitas dari sistem yang dibangun menunjukan performa yang baik dengan kelola hasil rekap data secara real-time. Implementasi aplikasi ini bukan hanya mempercepat proses registrasi, melainkan juga memberikan kenyamanan wisudawan dalam memasuki ruangan, mengurangi potensi kesalahan manusia, dan meningkatkan pengalaman panitia wisuda secara keseluruhan. Hasil penelitian menunjukan 98.73% hadir dalam ruangan atau sejumlah 310 wisudawan. Aplikasi wisuda menawarkan inovasi yang signifikan dalam efisiensi acara wisuda di Universitas Nahdlatul Ulama Indonesia.

Implementasi Untrusted Hybrid Active Directory Dan Optimalisasi Akun Pengguna Microsoft EntraID Sebagai SSO (Single Sign-On) Yuliansyah, Edy; Nabawi, Fezan; Aljabar, Andi
Device Vol 14 No 2 (2024): November
Publisher : Fakultas Teknik dan Ilmu Komputer (FASTIKOM) UNSIQ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/device.v14i2.8084

PT X merupakan salah satu Perusahaan farmasi terbesar di Indonesia saat ini memiliki sebanyak 42 BU (Bisnis Unit), di mana 10 BU diantaranya per 2024 tercatat memiliki 3.372 user aktif yang secara manajemennya masih tergabung dalam AD (Active Directory) on-premise server yang sepenuhnya dikelola oleh Corporate IT. Secara umum kondisi tersebut memang efisien, namun di sisi lain fleksibilitas seluruh entitas dalam mengelola user dan perangkat miliknya dalam AD terbatas, karena seluruh entitas mengikuti policy yang telah ditentukan oleh Corporate IT. Terdapat pula potensi penyalahgunaan akses, karena tiap entitas hanya dipisahkan pada level OU (Organitation Unit), artinya secara tidak langsung antar entitas bisa saling berkomunikasi karena berada di Forest Domain yang sama, dampak besarnya jika server AD tersebut bermasalah. Tujuan dari penelitian ini adalah memastikan tiap entitas dapat melakukan manajemen user dan computer nya masing-masing, dengan memanfaatkan akun Microsoft EntraID (atau sebelumnya disebut juga AD Azure) untuk otentikasi Single Sign-On login komputer, email dan jaringan . Metode yang digunakan dalam penelitian ini adalah PPDIOO (Prepare, Plan, Design, Implement, Operate, dan Optimize) yaitu sebuah metode perancangan suatu siklus hidup layanan jaringan dalam mendukung pengembangan jaringan komputer. Hasil yang diharapkan dari penelitian ini ialah berupa skema manajemen Active Directory yang efisien secara biaya, sederhana dalam operasional, fleksibel dalam pengelolaan, dan agile terhadap kemajuan teknologi.

Classification of Skin Diseases using Digital Image Processing with MobileNetV2 Architecture Tarisafitri, Nahla; Aljabar, Andi
Nusantara Journal of Artificial Intelligence and Information Systems Vol. 1 No. 1 (2025): June
Publisher : Faculty of Engineering and Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47776/nuai.v1i1.1594

Skin diseases are prevalent in tropical countries like Indonesia, where geographical and climatic conditions facilitate their spread. This research aims to classify skin diseases using digital image processing with the MobileNetV2 architecture. The DermNet dataset is used to develop and test the model. Various image preprocessing techniques, including resizing, augmentation, and normalization, were applied to the dataset, which consists of 300 images categorized into dermatitis, psoriasis, and scabies. The model achieved a training accuracy of 90% and a validation accuracy of 70%, with notable success in classifying psoriasis. The findings suggest that MobileNetV2, when combined with CNN, is a promising tool for diagnosing skin diseases early and efficiently.

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