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All Journal JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Mutiara Elektromedik Jurnal Mahasiswa Ilmu Komputer Solusi Bersama : Jurnal Pengabdian Dan Kesejahteraan Masyarakat Journal of Social Sciences and Technology for Community Service Jurnal Komputasi
Istiana Ruswita
Universitas Lampung
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering

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Development of Game Based Learning Media for Komering Culture (Case Study at Karang Binangun Elementary School) Istiana Ruswita; Nasya Fhadila Nurulsyah; Muhammad Afdhaluddin
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.5071

Abstract

The development of Android smartphone technology demands innovation in learning, one of which is through educational games. The Komering culture, as a treasure of South Sumatra, faces the challenges of globalization, which has led to a decline in the younger generation's understanding and appreciation of local cultural heritage. Karang Binangun State Elementary School has integrated Komering language lessons as local content for 6th grade students, but learning still uses conventional methods with textbooks without the development of digital media. This study aims to develop and evaluate Komering culture-based learning media in the form of games to improve local cultural learning in elementary school students. The research uses the Game Development Life Cycle (GDLC) method, which includes the stages of Initiation, Pre-production, Production, Testing, Beta, and Release. The game was developed to cover material on Komering script, language, traditional houses, dances, traditional clothing, and traditional food, and was designed for a single user. The evaluation was conducted through User Acceptance Testing (UAT) involving students and teachers. The results of the study show that the satisfaction level of respondents in the UAT reached 91.88% out of 22 respondents, indicating that the game is very suitable for use as a learning medium. The game has been released and can be accessed via Google Drive for widespread use. This digital learning medium is expected to contribute to the preservation of Komering culture through a modern, interactive, and effective approach.
Pelatihan Pemanfaatan Gemini AI dalam Pembuatan Aplikasi Mobile untuk Guru TIK Lampung Selatan Muhaqiqin; Mohamad Zainudin; Ridho Sholehurrohman; Igit Sabda Ilman; Wartariyus; Riska Amalia Praptiwi; Istiana Ruswita
Journal Social Science And Technology For Community Service Vol. 6 No. 2 (2025): Volume 6, Nomor 2, September 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v6i2.860

Abstract

This community service activity aimed to enhance the digital literacy and skills of ICT teachers in South Lampung in developing educational mobile applications using Gemini AI, given that most teachers had not mastered application programming or the use of AI in teaching. The offline training, held on July 27, 2025, at SMA Negeri 1 Kalianda, involved 25 ICT teachers and integrated practical-based training, the diffusion of Gemini AI science and technology, and intensive technical assistance. The material covered basic AI concepts, Gemini AI implementation with Android Studio Cloud, and practical prototype development for applications like practice questions and ICT dictionaries. As a result, 92% of participants found the training very helpful, and teachers successfully created AI-based application prototypes. This activity successfully improved teachers' literacy and skills, demonstrating their significant potential in developing learning technology. Further training with gradual difficulty levels, increased practice time, and program expansion are recommended to strengthen the digital learning ecosystem.
IMPLEMENTASI ALGORITMA NAÏVE BAYES UNTUK KLASIFIKASI KELAYAKAN PENERIMA PROGRAM INDONESIA PINTAR (PIP) PADA SD NEGERI X M. Yhogha Ismail Ibn Ibrahim; Istiana Ruswita
Jurnal Mahasiswa Ilmu Komputer Vol. 7 No. 1 (2026): Jurnal Mahasiswa Ilmu Komputer March 2026
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/ilmukomputer.v7i1.11457

Abstract

Abstrak : Efektivitas distribusi Program Indonesia Pintar (PIP) sangat bergantung pada akurasi proses seleksi di tingkat sekolah. Di SD Negeri X, mekanisme penentuan penerima bantuan masih menghadapi kendala akibat proses verifikasi manual yang cenderung subjektif dan tidak efisien. Penelitian ini mengeksplorasi penggunaan teknik data mining dengan algoritma Naïve Bayes untuk mengotomatisasi klasifikasi kelayakan siswa. Atribut yang diuji meliputi indikator ekonomi dan kondisi sosial keluarga siswa yang diolah menggunakan metode 10-Fold Cross Validation. Temuan penelitian menunjukkan bahwa model Naïve Bayes berhasil mencapai tingkat akurasi sebesar 78,20%. Walaupun nilai recall (52,68%) dan presisi (53,64%) dipengaruhi oleh karakteristik dataset yang ada, penggunaan algoritma ini memberikan landasan pengambilan keputusan yang lebih terukur dan transparan. Implementasi sistem ini diharapkan dapat meminimalisir kesalahan manusia dalam identifikasi penerima bantuan sehingga penyaluran PIP menjadi lebih tepat sasaran. Abstract: The effectiveness of the Indonesia Smart Program (PIP) distribution significantly depends on the accuracy of the selection process at the school level. At SD Negeri X, the mechanism for determining aid recipients still faces challenges due to manual verification processes that tend to be subjective and inefficient. This study explores the application of data mining techniques using the Naïve Bayes algorithm to automate student eligibility classification. The tested attributes include economic indicators and the social conditions of the students' families, which were processed using the 10-Fold Cross-Validation method. The research findings demonstrate that the Naïve Bayes model successfully achieved an accuracy rate of 78.20%. Although the recall (52.68%) and precision (53.64%) values were influenced by the characteristics of the existing dataset, the use of this algorithm provides a more measurable and transparent basis for decision-making. The implementation of this system is expected to minimize human error in identifying aid recipients, thereby ensuring that PIP distribution is more targeted.
Analisis Sentimen Ulasan Digital Menggunakan Naive Bayes dan Pengaruhnya terhadap Keputusan Calon Tamu: Studi Kasus Hotel Santika Premiere Bandara Palembang Istiana Ruswita; M. Yhogha Ismail Ibn Ibrahim
Jurnal Komputasi Vol. 14 No. 1 (2026)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v14i1.350

Abstract

Perkembangan teknologi informasi meningkatkan peran ulasan digital sebagai referensi utama dalam pengambilan keputusan pemesanan hotel. Penelitian ini bertujuan untuk menganalisis sentimen ulasan digital menggunakan metode Naive Bayes serta menguji pengaruhnya terhadap keputusan calon tamu pada Hotel Santika Premiere Bandara Palembang. Data penelitian terdiri dari 15.463 ulasan yang diperoleh dari Google Review dan Traveloka, serta responden kuesioner yang pernah membaca ulasan sebelum melakukan pemesanan. Tahapan penelitian meliputi preprocessing teks, klasifikasi sentimen, dan analisis regresi linier. Hasil menunjukkan bahwa 73,3% ulasan tergolong positif dengan tingkat akurasi model sebesar 88,2%. Analisis regresi menunjukkan bahwa sentimen ulasan digital berpengaruh positif dan signifikan terhadap keputusan calon tamu (p < 0,05) dengan koefisien determinasi (R²) sebesar 0,458. Temuan ini menegaskan bahwa reputasi digital berbasis e-WOM berperan penting dalam membentuk kepercayaan dan niat pemesanan, serta dapat dimanfaatkan sebagai dasar pengambilan keputusan manajerial berbasis data di industri perhotelan.
PERANCANGAN DAN IMPLEMENTASI SISTEM PENGHITUNG TETESAN CAIRAN INFUS BERBASIS NODE MCU Istiana Ruswita; Muhammad Afdhaluddin; Wahyudi Syaputra
JURNAL MUTIARA ELEKTROMEDIK Vol. 9 No. 1 (2025): Jurnal Mutiara Elektromedik
Publisher : Prodi Teknik Elektromedik Universitas Sari Mutiara Indonesia

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

Abstract

Infusion pump merupakan perangkat medis kategori life support yang berfungsi mengalirkan cairan atau obat ke tubuh pasien dengan laju aliran (flow rate) yang terkontrol. Mengingat keterbatasan tenaga medis dalam memantau secara manual, diperlukan alat otomatis yang mampu menghitung volume cairan dan mengatur waktu pemberian secara presisi. Penelitian ini menggunakan pendekatan desain instrumen pada alat infusion pump. Hasil pengujian menunjukkan adanya selisih antara nilai pengaturan dan hasil aktual, yaitu 0,005% untuk 20 tts/jam, 0,25% untuk 40 tts/jam, dan 0,16% untuk 60 tts/jam. Selisih ini dipengaruhi oleh akurasi komponen dan penyempurnaan sistem pemrograman. Oleh karena itu, disarankan agar perancang alat, khususnya di bidang elektromedis, lebih memperhatikan pemilihan komponen dan standar prosedur teknis agar alat yang dikembangkan memenuhi standar klinis dan keselamatan pasien.
Peningkatan Kapabilitas Digital UMKM Makanan melalui Implementasi WhatsApp Business untuk Otomatisasi Layanan Pelanggan dan Pemesanan Produk di Desa Pemanggilan, Natar, Lampung Selatan Istiana Ruswita; Riska Amalia Praptiwi
Solusi Bersama : Jurnal Pengabdian dan Kesejahteraan Masyarakat Vol. 3 No. 3 (2026): Agustus : Solusi Bersama : Jurnal Pengabdian dan Kesejahteraan Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/solusibersama.v3i3.3327

Abstract

The advancement of digital technology provides opportunities for Micro, Small, and Medium Enterprises (UMKM) to improve customer service quality and business process efficiency. However, many food-based UMKM in Pemanggilan Village, Natar District, South Lampung Regency, still face limitations in utilizing digital technology to support marketing and product ordering activities. This community service program aimed to enhance the digital capabilities of UMKM owners through training and mentoring on the implementation of WhatsApp Business as a platform for customer service and product ordering. The methods employed included partner needs assessment, training on WhatsApp Business features, assistance in creating business profiles, configuring automated messages, developing product catalogs, and evaluating program outcomes through pre-tests and post-tests. The evaluation of 35 participants demonstrated a significant improvement in their knowledge and skills in using WhatsApp Business, with the average pre-test score increasing from 42.9 to 87.3 in the post-test, representing an improvement of 44.4 points. Participants were able to utilize business profiles, automated messaging, product catalogs, and order management features more effectively to support their business activities. The implementation of WhatsApp Business contributed to improving customer service responsiveness, facilitating business communication, and supporting the digital transformation of food-based UMKM in Pemanggilan Village. This program is expected to enhance the competitiveness and productivity of UMKM through the adoption of accessible and cost-effective digital technology.
Analisis Sentimen Ulasan Digital Menggunakan Naive Bayes dan Pengaruhnya terhadap Keputusan Calon Tamu: Studi Kasus Hotel Santika Premiere Bandara Palembang Istiana Ruswita; M. Yhogha Ismail Ibn Ibrahim
Jurnal Komputasi Vol. 14 No. 1 (2026)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v14i1.350

Abstract

Perkembangan teknologi informasi meningkatkan peran ulasan digital sebagai referensi utama dalam pengambilan keputusan pemesanan hotel. Penelitian ini bertujuan untuk menganalisis sentimen ulasan digital menggunakan metode Naive Bayes serta menguji pengaruhnya terhadap keputusan calon tamu pada Hotel Santika Premiere Bandara Palembang. Data penelitian terdiri dari 15.463 ulasan yang diperoleh dari Google Review dan Traveloka, serta responden kuesioner yang pernah membaca ulasan sebelum melakukan pemesanan. Tahapan penelitian meliputi preprocessing teks, klasifikasi sentimen, dan analisis regresi linier. Hasil menunjukkan bahwa 73,3% ulasan tergolong positif dengan tingkat akurasi model sebesar 88,2%. Analisis regresi menunjukkan bahwa sentimen ulasan digital berpengaruh positif dan signifikan terhadap keputusan calon tamu (p < 0,05) dengan koefisien determinasi (R²) sebesar 0,458. Temuan ini menegaskan bahwa reputasi digital berbasis e-WOM berperan penting dalam membentuk kepercayaan dan niat pemesanan, serta dapat dimanfaatkan sebagai dasar pengambilan keputusan manajerial berbasis data di industri perhotelan.
Co-Authors Igit Sabda Ilman M. Yhogha Ismail Ibn Ibrahim Mohamad Zainudin Muhammad Afdhaluddin Muhammad Afdhaluddin Muhaqiqin Nasya Fhadila Nurulsyah Ridho Sholehurrohman Riska Amalia Praptiwi Wahyudi Syaputra Wartariyus