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All Journal Jurnal Algoritma Jurnal Informatika dan Teknik Elektro Terapan Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Informatika Kaputama (JIK) Building of Informatics, Technology and Science JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Empowerment Community Informatics and Digital Expert (INDEX) Jurnal Amplifier: Jurnal Ilmiah Bidang Teknik Elektro dan Komputer JURNAL ELEKTRO DAN INFORMATIKA SWADHARMA (JEIS) Jurnal Prajaiswara Jurnal Algoritma Sejahtera: Jurnal Inspirasi Mengabdi Untuk Negeri Jurnal Komputer Antartika Jurnal Informatika: Jurnal Pengembangan IT Jurnal Pengabdian Masyarakat (JURDIMAS) Jurnal Sistem Informasi dan Teknologi Informasi JPPkM: Jurnal Pengabdian dan Pemberdayaan kepada Masyarakat
Teguh Ikhlas Ramadhan
Universitas Perjuangan Tasikmalaya
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Evaluasi dan Implementasi Indobert Question Answering (QA) pada Domain Spesifik Menggunakan Mean Reciprocal Rank Ramadhan, Teguh Ikhlas; Supriatman, Agus; Kurniawan, Taufik Rahmat
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1542

Abstract

Applications of artificial intelligence, such as Chat-GPT and Bard, have become common in various aspects of life today. One of the main aspects is the use of the Question Answering (QA) model to meet specific domain needs. However, in some cases, models like Bard may not be able to provide specific information, such as registration procedures at a particular company or lecturer schedules at a university. To overcome this challenge, an Indonesian QA model called IndoBERT-QA has been developed. This research aims to evaluate the capabilities of IndoBERT-QA in a specific domain context using the Mean Reciprocal Rank (MRR) evaluation method. The evaluation results show that the IndoBERT-QA model is able to achieve an MRR of 0.91 with an approach to creating a customized context for each question. These results indicate that this model has good performance in providing relevant answers. The benefit of this research is that it serves as a valuable reference for the development of QA systems that will be created by other parties in the same environment. By utilizing a well-tested and evaluated approach, this research provides a strong foundation for the development of a high-performance QA system in Indonesian, so that it can meet domain-specific needs. Besides that, this research also provides insights for further development. One approach that can be explored is the use of Information Retrieval or Passage Retrieval as an initial step in the QA process. This can help the model in getting more precise and relevant context, thereby allowing further improvement in the quality of the answers provided by the model. Index Terms-BERT, Mean Reciprocal Rank, Question Answering However, this research also provides insights for further development. One approach that can be explored is the use of Information Retrieval or Passage Retrieval as an initial step in the QA process. This can help the model in getting more precise and relevant context, thereby allowing further improvement in the quality of the answers provided by the model.
Modernisasi Data Warehouse Berbasis Cloud Untuk Standar Kebutuhan Business Intelligence Skala Mikro hartono, rudi; Ikhlas Ramadhan, Teguh; Dewi Nugrah, Salsabila
Informatics and Digital Expert (INDEX) Vol. 6 No. 2 (2024): INDEX, November 2024
Publisher : LPPM Universitas Perjuangan Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36423/index.v6i2.2024

Abstract

Penelitian ini mengeksplorasi modernisasi Data Warehouse (DWH) berbasis cloud untuk memenuhi kebutuhan Business Intelligence (BI) di tingkat skala mikro. Teknologi cloud sebagai solusi untuk modernisasi DWH, yang memungkinkan perusahaan skala mikro untuk menggunakan BI dengan lebih efektif. Pendekatan berbasis cloud memberikan fleksibilitas, skalabilitas, dan aksesibilitas yang diperlukan untuk mengelola dan menganalisis data dengan lebih baik. Penelitian ini merinci langkah-langkah strategis dalam merancang, menerapkan, dan mengelola DWH berbasis cloud serta mengintegrasikannya dengan alat BI yang tepat. Metode yang digunakan dalam penelitian ini adalah metode Nine Step Kimball. Hasil penelitian ini adalah pengembangan memodernisasi DWH melalui teknologi cloud. Dengan mengadopsi solusi ini, UMKM dapat meningkatkan aksesibilitas data, efisiensi operasional, dan kemampuan mereka dalam menghasilkan wawasan BI yang berharga. Hal ini membantu untuk tetap kompetitif di pasar yang berubah-ubah dan membuat keputusan bisnis yang lebih cerdas demi pertumbuhan yang berkelanjutan
Design of A Soil Moisture and pH Monitoring System for Tomato Plants Barki, Yori Saepul; Ramadhan, Teguh Ikhlas; Supriatman, Agus
Jurnal Prajaiswara Vol. 5 No. 3 (2024): Desember 2024
Publisher : Badan Pengembangan Sumber Daya Manusia (BPSDM) Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55351/prajaiswara.v5i3.125

Abstract

In this era of globalization, many farmers are still less intensive in monitoring the growth period of their plants because tomato plants require an adaptation process to the environment and are very sensitive to soil moisture and soil pH. One of them is a Soil Humidity and pH Monitoring System to help farmers increase the harvest success rate of tomato plants. This monitoring system can provide quick information regarding soil moisture and pH conditions which can be monitored via gadget using the Telegram Bot. This soil control must have a pH of around 5-7 and humidity of around 60-80%. Detection of pH and humidity in soil using Soil Moisture and Soil pH sensors. This monitoring system is designed using Arduino Uno and NodeMCU as microcontrollers. With this pH and soil moisture monitoring system for tomato plants, soil conditions can be maintained and controlled easily because it can be done via Telegram Bot.
Passage Retrieval untuk Question Answering Bahasa Indonesia Menggunakan BERT dan FAISS Ramadhan, Teguh Ikhlas; Supriatman, Agus; Kurniawan, Taufik Rahmat
Jurnal Algoritma Vol 21 No 2 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-2.2100

Abstract

This research develops a passage retrieval model for a Question Answering (QA) application in the Indonesian language, focusing on a specific domain. The model leverages BERT embedding techniques and the Faiss index to enhance the efficiency and accuracy of finding answers to user queries, with a particular focus on a text corpus related to Universitas Perjuangan Tasikmalaya. The evaluation was conducted on 80 questions, encompassing various informational aspects within the corpus. Results indicate an average execution time of 0.23 seconds per question and a total processing time of 18.8 seconds for all queries, achieving an accuracy rate of 43.75%. Accuracy was generally higher when the questions contained terms that exactly matched those in the corpus. While the initial findings are promising, the accuracy remains suboptimal and warrants further improvement. Potential areas for optimization include employing alternative embedding techniques, refining passage formation methods, and enhancing search performance using a cross-encoder. This research contributes to accelerating the retrieval process and improving the relevance of results for QA applications within specific domains.
Edukasi Pencegahan Penularan Covid-19 Melalui Pembagian Masker Dan Hand Sanitizer Di SDN 2 Padamulya Kabupaten Ciamis Ayu Rahmawati; Teguh Ikhlas Ramadhan; Ade Rizki Nurmayadi
Sejahtera: Jurnal Inspirasi Mengabdi Untuk Negeri Vol. 2 No. 4 (2023): Oktober : Jurnal Inspirasi Mengabdi Untuk Negeri
Publisher : Universitas Maritim AMNI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58192/sejahtera.v2i4.1327

Abstract

Covid-19 is an acute respiratory disease caused by a new type of corona virus. This disease first broke out in Wuhan, China and then spread to almost the entire world and caused a global pandemic. The main symptoms of Covid-19 disease include cough, fever and shortness of breath. The Covid-19 pandemic has brought changes to various aspects of life, one of which is social change. One form of social change that occurred amid the Covid-19 pandemic was the birth of a new normal era. This new lifestyle allows all activities to resume but by implementing strict health protocols. This is the government's effort to keep all activities moving but also continue to try to break the chain of transmission of Covid-19. The purpose of this community service is to improve health status and provide education regarding steps to prevent Covid-19 in the school environment. The method used in this research is descriptive qualitative method. Based on the program, this activity also appealed to all students, teachers and school principals about Clean and Healthy Lifestyles (PHBS) and Hand Washing with Soap (CTPS), using masks and hand sanitizers. To prevent and anticipate the spread of the Covid-19 virus, public awareness is needed to actively implement PHBS and CTPS.
Implementasi Algoritma Dijkstra Penentuan Rute Terdekat Untuk Pengiriman Barang Berbasis Android Sholahuddin, Muhammad; Supriatman, Agus; Ikhlas Ramadhan, Teguh
JURNAL AMPLIFIER : JURNAL ILMIAH BIDANG TEKNIK ELEKTRO DAN KOMPUTER Vol. 15 No. 1 (2025): Amplifier Mei Vol. 15, No. 1 2025
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jamplifier.v15i1.33813

Abstract

Courier services are a service that facilitates the delivery of various types of goods between locations with security guaranteed by the service provider. Goods delivery encompasses logistics, products, and documents. The growth of the courier service industry, reflected in the increasing trust of the public, demonstrates the importance of timely delivery in the business. Timeliness is a key factor in the courier business, however, couriers often face difficulties in locating recipients and experience delays due to difficulties in finding the nearest routes. Therefore, finding the nearest route is crucial to expedite delivery. The Dijkstra Algorithm is one method used to find the nearest route by calculating the shortest distance between two points in a graph, by calculating the optimal path. Calculation results using the Dijkstra Algorithm indicate that the shortest route is A-F-G-H-I-J-B-C-D-E-K-L-M-N-O with a path length of 11039 meters. Black-Box testing on Android-based applications shows a testing rate of 100%, validating the accuracy of the application in determining routes with precise results. Keywords: Shipping, Nearest Route, Dijkstra Algorithm
Design of A Soil Moisture and pH Monitoring System for Tomato Plants Barki, Yori Saepul; Ramadhan, Teguh Ikhlas; Supriatman, Agus
Jurnal Prajaiswara Vol. 5 No. 3 (2024): Desember 2024
Publisher : Badan Pengembangan Sumber Daya Manusia (BPSDM) Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55351/prajaiswara.v5i3.125

Abstract

In this era of globalization, many farmers are still less intensive in monitoring the growth period of their plants because tomato plants require an adaptation process to the environment and are very sensitive to soil moisture and soil pH. One of them is a Soil Humidity and pH Monitoring System to help farmers increase the harvest success rate of tomato plants. This monitoring system can provide quick information regarding soil moisture and pH conditions which can be monitored via gadget using the Telegram Bot. This soil control must have a pH of around 5-7 and humidity of around 60-80%. Detection of pH and humidity in soil using Soil Moisture and Soil pH sensors. This monitoring system is designed using Arduino Uno and NodeMCU as microcontrollers. With this pH and soil moisture monitoring system for tomato plants, soil conditions can be maintained and controlled easily because it can be done via Telegram Bot.
Perbandingan IndoBERT dan IndoRoBERTa Untuk Analisis Sentimen Pada Film Dokumenter Dirty Vote Apriansyah, Fadhel Muhammad; Ramadhan, Teguh Ikhlas; Hidayat, Cepi Rahmat; Wijaya, Anggito Karta
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 3 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i3.8607

Abstract

Sentiment analysis is a technique in Natural Language Processing (NLP) used to identify and categorize opinions or emotions in text. This study compares the performance of two Transformer-based models, IndoBERT and IndoRoBERTa, in analyzing sentiment toward the documentary film Dirty Vote. The research process includes data collection, text preprocessing, lexicon-based sentiment labeling, and model evaluation using K-Fold Cross-Validation. The results show that IndoBERT achieved an average accuracy of 99%, higher than IndoRoBERTa, which achieved 94%. IndoBERT also demonstrated better alignment with lexicon-based labeling in classifying positive, negative, and neutral sentiments. In terms of architecture, IndoBERT employs static masking, while IndoRoBERTa applies dynamic masking, leading to differences in the models' sensitivity to textual meaning. IndoBERT tends to provide more definitive classifications for opinions or strong criticisms, whereas IndoRoBERTa more frequently categorizes ambiguous comments as neutral sentiment. The conclusion of this study indicates that IndoBERT outperforms IndoRoBERTa in sentiment analysis of the documentary film Dirty Vote, both in terms of accuracy and consistency with lexicon-based labeling. These findings provide insights into the effectiveness of Transformer-based models for sentiment analysis in the Indonesian language and can serve as a reference for further NLP model development.
PENGEMBANGAN MOTION COMIC SEBAGAI MEDIA PEMBELAJARAN MENGGUNAKAN METODE ADDIE (STUDI KASUS : PONDOK PESANTREN AL-QURAN AL-HIKMAH) Sati, Besthalia Roseas; Hartono, Rudi; Ramadhan, Teguh Ikhlas
JEIS: Jurnal Elektro dan Informatika Swadharma Vol 5, No 1 (2025): JEIS EDISI JANUARI 2025
Publisher : Institut Teknologi dan Bisnis Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jeis.vol5no1.542

Abstract

The development of the times continues to advance, especially in the world of education, especially in knowledge regarding the introduction of subject matter. Particular learning or educational media are needed to make it easier and motivate students. This research aims to produce interactive motion comic learning media featuring the characters Khalid bin Walid and Georgius Theodorus against the backdrop of the Yarmouk war story. The method used is the ADDIE development model, which consists of five stages: analysis, design, development, implementation, and evaluation. The research results are interactive motion comic media for the Al-Quran Al-Hikmah Islamic Boarding School. The interactive media was then validated using a Likert scale with 20 students as respondents, and the test results showed a score of 82.4%, which was included in the very feasible category.Perkembangan zaman yang terus maju terutama dalam dunia pendidikan khususnya dalam pengetahuan tentang pengenalan materi pelajaran. Untuk mempermudah dan memotivasi siswa diperlukan suatu media pembelajaran atau edukasi tertentu. Penelitian ini bertujuan menghasilkan media pembelajaran interaktif motion comic yang menampilkan tokoh Khalid bin Walid dan Georgius Theodorus dengan latar belakang kisah perang Yarmouk. Metode yang digunakan adalah model pengembangan ADDIE yang terdiri dari lima tahapan yang meliputi analysis, design, development, implementation, dan evaluation. Hasil penelitian berupa media interaktif motion comic untuk Pondok Pesantren Al-Quran Al-Hikmah. Media interaktif kemudian di uji validasi dengan menggunakan skala likert dengan 20 santri sebagai responden, dan hasil uji menujukan skor 82,4% yang termasuk kategori sangat layak.
Implementasi Data Analytics Guna Optimalisasi Kegiatan Penerimaan Santri Baru (PSB) Berbasis Dashboard Rivai, Diki Nurul; Ramadhan, Teguh Ikhlas; Supriatman, Agus
e-Jurnal JUSITI (Jurnal Sistem Informasi dan Teknologi Informasi) Vol. 13 No. 2 (2024): e-Jurnal JUSITI
Publisher : Universitas Dipa Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36774/jusiti.v13i2.1635

Abstract

Penerapan data analytics di Pondok Pesantren Riyadlul Ulum Wadda’wah Condong dengan metode pengumpulan data, preprocessing, exploratory data analysis, evaluasi, dan visualisasi, memberikan kontribusi signifikan dalam optimalisasi kegiatan Penerimaan Santri Baru (PSB). Melalui penggunaan metode tersebut, analisis data dapat menghasilkan dashboard interaktif. Selain itu, analisis data juga memberikan wawasan dari pendaftaran santri baru, memberikan rekomendasi untuk meningkatkan efisiensi kegiatan PSB. Pendekatan komprehensif ini membantu memberikan panduan berbasis data bagi para pemangku kepentingan dalam pengambilan keputusan, mendukung implementasi kebijakan, dan merancang strategi yang dapat diukur guna optimalisasi kegiatan PSB.
Co-Authors Ade Rizki Nurmayadi Adzkia Hermayulia Agus Supriatman Aji Ahmad Baehaki Alisa Nur Pratiwi andi maulana Andi Maulana, Andi Apriansyah, Fadhel Muhammad Ariel Ivan Al-Hakim Aso Sudiarjo Ayu Rahmawati Barki, Yori Saepul Cepi Rahmat Hidayat Dede Syahrul Anwar Dede Syahrul Anwar Dewi Nugrah, Salsabila Erlangga Mahardika Putra Evi Dewi Sri Mulyani Fauzan M. Iqbal Hartono, Rudi Hidayatul Farhani, Ahmad Hikmatyar, Missi Kurniawan, Rifal Kurniawan, Taufik Rahmat Luthfi Adilal Mahbub M. Sholahuddin Manda Puad Sidik Nur Ghaniaviyanto Ramadhan Nur Izza, Azmi Rendi Agustiana Rivai, Diki Nurul Riyadi, Imam rudi hartono Ruuhwan Sakinah, Marsela Arsya Salsabila Dewi Nugrah Sati, Besthalia Roseas Shinta Siti Sundari Sidik, Manda Puad Sigit Wahyu Nugraha Silpia Arum, De Sipa Teuku Mufizar Widia Nurindriyanti Wijaya, Anggito Karta Yusuf Sumaryana