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All Journal Mutiara : Jurnal Ilmiah Multidisiplin Indonesia CHAIN: Journal of Computer Technology, Computer Engineering and Informatics
David Naista
Universitas Islam Negeri Raden Intan Lampung
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Analisis Topik dan Karakteristik Kelayakan Pengajuan Judul Skripsi Mahasiswa Program Studi Sistem Informasi Menggunakan TF-IDF dan K-Means Clustering Singgih Yulizar Ma'ruf; David Naista
CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 4 No. 3 (2026): Volume 4 Number 3 July 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/chain.v4i3.296

Abstract

Pengajuan judul skripsi merupakan tahap awal yang penting dalam penyusunan tugas akhir mahasiswa. Seiring meningkatnya jumlah usulan judul setiap tahun, program studi memerlukan analisis yang mampu mengidentifikasi pola topik penelitian serta karakteristik kelayakan usulan judul secara sistematis. Penelitian ini bertujuan untuk menganalisis topik dominan dan karakteristik kelayakan pengajuan judul skripsi mahasiswa Program Studi Sistem Informasi menggunakan pendekatan text mining dan clustering. Dataset yang digunakan terdiri dari 950 data pengajuan judul skripsi yang kemudian dilakukan proses deduplikasi sehingga diperoleh 757 judul unik. Tahapan penelitian meliputi preprocessing teks yang terdiri dari case folding, tokenisasi, stopword removal, dan stemming, dilanjutkan dengan pembobotan kata menggunakan Term Frequency–Inverse Document Frequency (TF-IDF). Selanjutnya dilakukan pengelompokan dokumen menggunakan algoritma K-Means Clustering dengan jumlah cluster optimal sebanyak enam cluster berdasarkan evaluasi silhouette score. Hasil penelitian menunjukkan bahwa enam cluster yang terbentuk merepresentasikan kelompok topik utama, yaitu sistem informasi dan manajemen, aplikasi mobile dan layanan digital, sistem informasi desa dan pengelolaan data, sistem pendukung keputusan, sistem monitoring dan dashboard, serta sistem informasi pariwisata. Nilai silhouette score sebesar 0,0314 menunjukkan bahwa data memiliki tingkat kemiripan antar topik yang cukup tinggi, namun masih mampu menghasilkan kelompok topik yang dapat diinterpretasikan. Analisis skor kelayakan menunjukkan adanya variasi karakteristik antar cluster, di mana cluster sistem monitoring dan dashboard memiliki rata-rata skor kelayakan tertinggi sebesar 92,36. Hasil uji Kruskal–Wallis menghasilkan p-value sebesar 1,51×10⁻⁹ yang menunjukkan adanya perbedaan signifikan skor kelayakan antar cluster. Penelitian ini dapat membantu program studi dalam memetakan tren penelitian mahasiswa dan mendukung proses evaluasi usulan judul skripsi secara lebih objektif.
Implementasi Kendali PI pada Single Axis Solar Tracker untuk Smart Lamp Berbasis IoT Ghifar Javad H Aziz; David Naista
CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 4 No. 3 (2026): Volume 4 Number 3 July 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/chain.v4i3.303

Abstract

Pemanfaatan energi surya sebagai sumber energi alternatif terus berkembang karena bersifat ramah lingkungan dan berkelanjutan. Namun, panel surya dengan posisi tetap memiliki keterbatasan dalam menyerap energi matahari secara optimal akibat perubahan posisi matahari sepanjang hari. Penelitian ini bertujuan untuk mengimplementasikan metode Proportional-Integral (PI) pada Single Axis Solar Tracker (SAST) serta mengintegrasikan teknologi Internet of Things (IoT) untuk monitoring sistem secara real-time. Metode penelitian yang digunakan adalah metode eksperimen dengan memanfaatkan sensor LDR sebagai pendeteksi cahaya, Arduino Uno R4 WiFi sebagai pengendali utama, motor servo sebagai aktuator, sensor PZEM sebagai pemantau parameter kelistrikan, dan Firebase sebagai media pertukaran data. Hasil pengujian menunjukkan bahwa kontrol PI mampu menghasilkan rise time sebesar 2,8913 detik, settling time sebesar 3,6686 detik, dan overshoot sebesar 0,4546%. Validasi sensor menunjukkan rata-rata error sebesar 1,96% pada sensor LDR dan 0,55% pada sensor PZEM. Selain itu, penerapan solar tracker menghasilkan total daya sebesar 92,94 W, lebih tinggi dibandingkan panel surya statis sebesar 77,75 W atau meningkat sebesar 19,54%. Sistem IoT juga mampu menampilkan data secara real-time pada aplikasi mobile dengan rata-rata delay komunikasi sebesar 1,33 detik. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan mampu meningkatkan perolehan daya panel surya serta mendukung monitoring parameter kelistrikan secara real-time melalui aplikasi mobile.
An Usability Evaluation of the English Education Study Program Website Using the System Usability Scale Wahyu Hidayat; David Naista; Ghifar Javad H Aziz
CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 4 No. 3 (2026): Volume 4 Number 3 July 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/chain.v4i3.308

Abstract

The English Education Study Program website serves as an essential platform for disseminating academic information, supporting communication, and providing various services to students, prospective students, alumni, and others. The effectiveness of a website depends not only on the availability of information but also on its usability, which determines how easily users can interact with and benefit from the system. This study aims to evaluate the usability of the English Education Study Program website https://english.tarbiyah.radenintan.ac.id using the System Usability Scale (SUS). A quantitative descriptive approach was employed, involving website users as respondents. Data were collected through a SUS questionnaire consisting of ten standardized statements measured using a five-point Likert scale. The collected responses were analyzed by calculating individual SUS scores and determining the overall usability score of the website. The evaluation focused on key usability aspects, including learnability, efficiency, effectiveness, consistency, and user satisfaction. The website obtained an average SUS score of 78.5 out of 100. Base on that, the findings identify strengths and areas that require improvement to enhance the user experience and optimize information services. The study demonstrates that the SUS method is a practical and reliable tool for measuring website usability and generating valuable feedback for website development. In addition, the study contributes empirical evidence by comparing the obtained SUS score with previous website usability studies. The conclusions can be used as a basis for improving the quality of the English Education Study Program website and ensuring that it better meets the needs and expectations of its users.
Implementasi Generative Artificial Intelligence sebagai Media Pembelajaran Adaptif untuk Meningkatkan Literasi Digital Mahasiswa Sistem Informasi David Naista; Ghifar Javad H. Aziz; Singgih Yulizar Ma'ruf
MUTIARA: Jurnal Ilmiah Multidisiplin Indonesia Vol. 4 No. 1 (2026): JIMI - JANUARI
Publisher : PT. PENERBIT TIGA MUTIARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61404/mutiara.v4i1.550

Abstract

The development of Generative Artificial Intelligence (GenAI) has created new opportunities to develop more adaptive learning while enhancing students' digital literacy. This study aims to analyze the implementation of GenAI as an adaptive learning medium, its effect on improving digital literacy, and Information Systems students' perceptions of its use. This research employed a quantitative approach using a pre-experimental method with a one-group pre-test and post-test design. The results showed that the average digital literacy score increased from 68.8 to 85.0, representing an improvement of 16.2 points after the implementation of GenAI. The highest improvement was found in the Digital Safety and Ethics dimension with 19 points, followed by Digital Content Creation with 17 points, Information Literacy and Digital Technology Utilization with 16 points each, and Digital Communication and Collaboration with 13 points. The paired sample t-test produced a t-value of 8.45 with a significance level of 0.000, indicating that the implementation of GenAI had a statistically significant effect on improving students' digital literacy. The students also expressed positive perceptions of GenAI because it facilitated their understanding of learning materials, increased learning motivation, and supported more effective completion of academic tasks. This study concludes that GenAI is an effective adaptive learning medium for improving students' digital literacy. The novelty of this study lies in the development of a GenAI implementation model that integrates adaptive learning with the five dimensions of digital literacy among Information Systems students in a comprehensive manner.
Co-Authors Ghifar Javad H Aziz Ghifar Javad H. Aziz Singgih Yulizar Ma'ruf Wahyu Hidayat