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All Journal Teknik dan Ilmu Komputer Prosiding Semnastek EMITTER International Journal of Engineering Technology JOURNAL INFORMATICS, SCIENCE & TECHNOLOGY Infotekmesin Jurnal Pengabdian Teknologi, Ekonomi dan Humaniora Jurnal Sains & Teknologi Fakultas Teknik Universitas Darma Persada Journal Technology Information and Data Analytic
Adam Arif Budiman
Universitas Darma Persada
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Social Sciences Other

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DESAIN dan IMPLEMENTASI APLIKASI PEMBELAJARAN BAHASA JEPANG - INDONESIA DENGAN METODE GAMIFICATION BERBASIS iOS Adam Arif Budiman; Dwikky Mardianto
Jurnal Sains & Teknologi Fakultas Teknik Universitas Darma Persada Vol. 9 No. 2 (2019): Jurnal Sains & Teknologi
Publisher : Fakultas Teknik Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70746/jstunsada.v9i2.66

Abstract

Japanese is a foreign language that is widely studied in Indonesia. But in a large number of Japanese language students in Indonesia, there are still some problems that arise. As experienced by students at the University of Darma Persada who have difficulty in the process of learning Japanese itself. Difficulties experienced include, among others, Japanese grammar that is difficult to learn, letters that are difficult to understand, understanding the meaning of words and sentences in Japanese and others. This report contains research on making an application of Japanese-Indonesian learning with case studies on students at Darma Persada University. This application was created using the waterfall method, gamification method and design thinking method. This application is also created using the swift programming language and the Firebase data storage system and this application is applied to the iOS operating system.
PENGGUNAAN ARTIFICIAL INTELIGENT (AI) UNTUK PENINGKATAN KUALITAS PENELITIAN UNTUK PENELITI DAN TENAGA PENDIDIK DI JAKARTA TIMUR Syofian, Suzuki; Setiawan, Aji; Budiman, Adam Arif; Setyaningsih, Timor
JEPTIRA Vol 1 No 1 (2023): JURNAL PENGABDIAN MASYARAKAT JEPTIRA
Publisher : Fakultas Teknik Universitas Darma Persada

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

Abstract

Pengabdian masyarakat (PKM) membahas inisiatif pengabdian masyarakat yang bertujuan untuk meningkatkan kompetensi tenaga pengajar di tingkat sekolah dan universitas melalui pelatihan penggunaan berbagai tools AI. Fokus utama adalah pada platform AI seperti ChatGPT, PerplexAI, Humata AI, ChatPDF, dan sejenisnya. Metodologi pengabdian masyarakat dilakukan dengan menyelenggarakan serangkaian pelatihan intensif yang mencakup pengenalan, pemahaman, dan penerapan praktis tools AI dalam lingkungan pendidikan. Beberapa tools praktek yang digunakan diharapkan mampu membantu para peneliti untuk mudah dan cepat dalam menyusun laporan penelitian.
The Validation of Office Administration for Teachers at MTs Al Watoniyah Bojong Village through the Use of Digital Signatures and Online Forums Budiman, Adam Arif; Setiawan, Aji; Susilo, Andi
JEPTIRA Vol 2 No 2 (2024): JOURNAL OF COMMUNITY ENGAGEMENT JEPTIRA
Publisher : Fakultas Teknik Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/jep.v2i2.59

Abstract

Using digital signature apps and communication platforms such as Discord has become essential in supporting teachers' administrative work in the digital era. Digital signature apps allow teachers to sign documents quickly, securely, and legally without meeting face-to-face. This speeds up the approval process of documents such as report cards, decision letters, and other administrative forms, thereby increasing efficiency and reducing reliance on physical documents. Initially developed for the gaming community, Discord has become an effective communication platform in educational settings. Features like voice chat, video calls, and discussion channel settings allow teachers to collaborate with colleagues, hold online meetings, and manage classes virtually. Their integration supports teacher productivity in daily administrative tasks, especially in remote work. Applying these technologies strengthens teachers' digital literacy skills, reduces their administrative burden, and allows them to focus more on developing the teaching-learning process. Thus, using digital signature apps and Discord is an essential part of digital transformation in the increasingly dynamic world of education.
PENERAPAN RUTE LOKASI PELAPORAN KEBAKARAN BERBASIS ANDROID MENGGUNAKAN PERBANDINGAN ALGORITMA A-STAR DENGAN ALGORITMA DIJKSTRA Chandra Pratama, Dian; Budiman, Adam Arif
Jurnal Sains & Teknologi Fakultas Teknik Universitas Darma Persada Vol. 14 No. 2 (2024): Jurnal Sains & Teknologi
Publisher : Fakultas Teknik Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70746/jstunsada.v14i2.490

Abstract

Kebakaran merupakan peristiwa yang menimbulkan kebakaran yang tidak terkendali dan dapat membahayakan keselamatan jiwa. Perancangan Aplikasi Pelaporan Kebakaran di wilayah Jakarta Utara ini dibuat untuk memudahkan pengguna dalam mencari informasi mengenai lokasi pelaporan kebakaran di wilayah Jakarta Utara. Berbasis ponsel Android memungkinkan pengguna membawa dan mendapatkan informasi dengan cepat. Penelitian ini menggunakan proses prototype dengan beberapa tahapan yaitu melalui studi literatur dan wawancara. Latar belakang dibuatnya aplikasi ini adalah untuk memudahkan petugas pemadam kebakaran agar lebih cepat mencapai jalur kebakaran. dengan membandingkan algoritma A-Star dan Djikstra maka dapat disimpulkan bahwa algoritma A-Star lebih cepat dibandingkan dengan algoritma Djikstra
Perbandingan Akurasi Double Exponential Smoothing dan ARIMA dalam Memprediksi Penjualan di E-Commerce Nibans Cake Bobby Syakir, Raden Achmad; Budiman, Adam Arif
Journal TIFDA (Technology Information and Data Analytic) Vol 1 No 1 (2024): Journal Technology Information and Data Analytic (TIFDA)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v1i1.8

Abstract

Penelitian ini bertujuan untuk membandingkan keakuratan metode Autoregressive Integrated Moving Average (ARIMA) dan Double Exponential Smoothing pada peramalan penjualan kue di Toko Nibans Cake, sehingga toko dapat melakukan prediksi untuk periode selanjutnya dengan metode yang lebih akurat diantara kedua metode tersebut. Aplikasi penjualan menggunakan metode ARIMA dan Double Exponential Smoothing dapat digunakan untuk memprediksi jumlah penjualan di masa depan. Metode ARIMA lebih cocok digunakan untuk data yang memiliki pola musiman (seasonal) sedangkan metode Double Exponential Smoothing lebih cocok digunakan untuk data yang tidak memiliki pola musiman.
Implementasi Data Mining Analisa Pola Belanja Customer Dengan menggunakan FP-Growth pada Produk Fashion Agustin, Ririn; Budiman, Adam Arif
Journal TIFDA (Technology Information and Data Analytic) Vol 1 No 1 (2024): Journal Technology Information and Data Analytic (TIFDA)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v1i1.28

Abstract

This study applies data mining to analyze customer patterns and fashion product predictions. The FP-Growth method is used to identify frequently occurring itemset patterns,The dataset contains customer purchase history and fashion product attributes. The results of customer pattern analysis and fashion product predictions can help fashion companies in making strategic decisions. This study contributes to the use of data mining to understand customer preferences and improve business decisions for fashion companies. The use of datasets consisting of customer purchase history and fashion product attributes. First, using the FP-Growth algorithm, an analysis is carried out to identify frequently occurring itemset patterns in customer data. The results of the analysis are used to understand customer preferences and shopping habits.
Analisis Sentimen Kepuasan Pelanggan Parfum Scentplus dan Moris di Platform Tik Tok menggunakan Metode Regresi Logistik Alwi, Rivaldi; Budiman, Adam Arif
Journal TIFDA (Technology Information and Data Analytic) Vol 1 No 2 (2024): Journal Technology Information and Data Analytic (TIFDA)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v1i2.45

Abstract

Parfum Scentplus dan Moris, dua merek parfum lokal yang tengah meroket ketenaran nya melalui platform Tik Tok, menjadi fokus penelitian ini. Penelitian ini bertujuan untuk melakukan analisis sentimen terhadap kepuasan pelanggan terhadap kedua merek parfum ini. Metode Regresi Logistik digunakan sebagai alat utama untuk merinci dan mengeksplorasi sentimen yang terkandung dalam komentar-komentar pelanggan, Pengumpulan data dilakukan dengan memanfaatkan teknik Scraping untuk mengakses dan mengumpulkan komentar-komentar pelanggan dari platform Tik Tok, Data latih yang digunakan sebanyak 1000 data yang telah dilabel dengan masing-masing data sentimen positif 420, sentimen netral 149, dan sentimen negatif 431 untuk parfum moris dan data sentimen positif 456, sentimen netral 146, dan sentimen negatif 398 untuk parfum scentplus yang dilatih menggunakan algoritma regresi logistik, Pada penelitian ini menunjukan model untuk parfum Moris memiliki performa terbaik dengan akurasi sebesar 93%, presisi sebesar 93%, dan recall sebesar 93%. Sedangkan model untuk parfum Scentplus memiliki akurasi sebesar 91%, presisi sebesar 91%, dan recall sebesar 91%.
Steganography on MP3 Audio files to secure messages using the Least Significant Bit (LSB) and Advanced Encryption Standard (AES) methods Blanco, Steven; Budiman, Adam Arif
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 1 (2025): Journal Technology Information and Data Analytic (TIFDA)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i1.80

Abstract

The E-budgeting file code delivery system is one of the right choices for a company to send and store large amounts of data neatly and properly. Currently, Bank XYZ has not yet implemented an Android-based file delivery and storage system, resulting in difficulties in locating previously sent files. To address this issue, Bank XYZ has developed an E-budgeting file code delivery system. This system is Android-based and operates using Android smartphones online. It is also designed to securely store files using AES (Advanced Encryption Standard) encryption and LSB (Least Significant Bit) steganography methods. The purpose of the E-budgeting file code delivery system is to facilitate the secure transmission of these codes to the relevant parties
Optimization of Gray Level Co-occurrence Matrix (GLCM) Texture Feature Parameters in Determining Rice Seed Quality Aji Setiawan; Arif Budiman, Adam
EMITTER International Journal of Engineering Technology Vol 13 No 1 (2025)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v13i1.928

Abstract

Rice seed quality assessment is a critical measure in promoting agricultural productivity, as high-quality seeds directly influence crop yield and resilience. One of method for evaluating seed quality is texture analysis, which leverages the Gray Level Co-occurrence Matrix (GLCM) to extract meaningful features from seed images, providing insights into their condition and potential performance. This research aims to determine the optimal performance of GLCM parameters in identifying the texture characteristics of rice seed quality. The experiments were conducted using four angles (0°, 45°, 90°, and 135°) and three-pixel distances (1, 2, and 3), evaluating features such as homogeneity, contrast, dissimilarity, and energy. The results indicate that certain parameter configurations significantly affect the discriminative power of the extracted features, with the Support Vector Machine (SVM) classifier achieving the highest performance at a pixel distance of 1, with an accuracy of 0.73, precision of 0.79, recall of 0.73, and F1-score of 0.72. These findings demonstrate that optimizing GLCM parameter settings directly contributes to improved classification performance, highlighting the method's potential for enhancing rice seed quality assessment.
Advanced Prompting Techniques for Artificial Intelligence-Based Learning Innovation Sofyan Andhana Saputra, Yan; Budiman, Adam Arif; Setiawan, Aji; Yudha, Afri; Supriatna, Ade; Kurnianto, Ario; Dariyus, Asyari
JEPTIRA Vol 3 No 1 (2025): JOURNAL OF COMMUNITY ENGAGEMENT JEPTIRA
Publisher : Fakultas Teknik Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/jeptira.v3i1.98

Abstract

This community service program was designed to strengthen the capacity of teachers and lecturers in utilizing advanced prompting techniques based on Artificial Intelligence (AI) to support instructional innovation. The focus of the training was on two effective methods Chain of Thought (CoT) and Role Prompting which enhance human-AI interaction in educational contexts. The activity was conducted through face-to-face workshops involving 25 participants from various educational institutions, combining theoretical explanations, hands-on practice, and case-based discussions. Participants learned how to construct structured and contextual prompts for teaching applications such as lesson planning, explanation of concepts, and simulation-based learning. Evaluation results showed a significant improvement in participants’ understanding and ability to apply prompt engineering strategies, as reflected in both assessment scores and the quality of practical outputs. The program also contributed to raising awareness about ethical AI usage in education and emphasized the role of digital literacy in enabling educators to adapt to the demands of digital transformation.
Co-Authors ADE SUPRIATNA Afri Yudha Agustin, Ririn Aji Setiawan Aji Setiawan Aji Setiawan Alwi, Rivaldi Andi Susilo Andi Susilo Andriansyah Zakaria Astuti, Eka Yuni Blanco, Steven Bobby Syakir, Raden Achmad Chandra Pratama, Dian Dariyus, Asyari Dwikky Mardianto Eka Yuni Astuti Eka Yuni Astuty Eri Suherman Herianto Kevin Andreas Surbakti Nur Hasanah Raden Achmad Bobby Syakir Rimba Sianturi Ririn Agustin Setyaningsih, Timor Sianturi, Rimba Suzuki Syofian Timor Setiyaningsih Tri Mahardhika, Bagus Widiksono, Susilo Widiksono, Susilo Yan Sofyan Andhana Saputra Zakaria, Andriansyah