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All Journal Jurnal Transformatika Jurnal Pengembangan Rekayasa dan Teknologi Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Teknologi Terpadu Journal of Information Systems and Informatics TIN: TERAPAN INFORMATIKA NUSANTARA Tematik Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) The Indonesian Journal of Computer Science Jurnal DIMASTIK
Badroe Zaman
Universitas Semarang
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PEMANFAATAN GOOGLE FORMS SEBAGAI APLIKASI PEMANTAUAN PEMBERANTASAN JENTIK NYAMUK DI KELURAHAN METESEH KOTA SEMARANG Surono; Badroe Zaman; Krida Pandu Gunata
Jurnal DIMASTIK Vol. 3 No. 2 (2025): Juli
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/dimastik.v3i2.11038

Abstract

Salah satu persoalan kesehatan yang cukup besar di kota Semarang adalah penyakit DBD, berdasarkan data yang dirilis DINKES kota Semarang sampai bulan Juni 2024 yaitu sebesar 237 kasus. Melalui Kader FKK (Forum Kesehatan Keluarga) di Kelurahan, Pemerintah kota Semarang berupaya menekan kasus DBD dengan program Pembarantasan Jentik Nyamuk (PJN). Dalam pelaksanaannya, sering kali ditemukan kendala dalam pengumpulan dan analisis data lapangan yang dapat menghambat efektivitas program. Para Kader FKK juga belum memiliki kemampuan yang cukup untuk memanfaatkan teknologi. Salah satu solusi untuk meningkatkan pemantauan adalah dengan memanfaatkan teknologi informasi. Metode yang digunakan dalam kegiatan ini dalam bentuk ceramah dan praktek mengenai penggunaan Google Forms melalui ponsel pintar. Evaluasi kegiatan juga dilakukan berupa kuisioner yang diisi peserta terkait dengan kegiatan yang telah diikuti. Hasil yang dicapai dari kegiatan ini adalah peningkatan kemampuan mitra dalam membuat aplikasi pemantauan PJN menggunakan Google Forms. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memberikan solusi teknologi sederhana namun efektif dalam mendukung program kesehatan lingkungan.
PENINGKATAN KEMAMPUAN MEMBANGUN ANIMASI TIGA DIMENSI (3D) MENGGUNAKAN APLIKASI BLENDER PADA SISWA SMK NU 01 KENDAL Hidayati, Nurtriana; Zaman, Badroe; Handayani, Titis
Jurnal DIMASTIK Vol. 3 No. 1 (2025): Januari
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/dimastik.v3i1.11670

Abstract

SMK Nahdlatul ‘Ulama (NU) 01 Kendal adalah Sekolah Kejuruan kelompok Bisnis – Manajemen dan Pariwisata dibawah naungan Lembaga Pendidikan Ma’arif NU Kabupaten Kendal. SMK NU 01 Kendal memiliki 7 (tujuh) kompetensi keahlian salah satunya yakni Rekayasa Perangkat Lunak. Jurusan Rekayasa perangkat lunak atau biasa disebut RPL menawarkan beberapa keahlian dibidang teknologi informasi berupa pemrograman, selain itu juga diajarkan mengenai desain dengan menggunakan Photoshop, Corel Draw, dan lainnya. Desain animasi tiga dimensi (3D) belum menjadi muatan yang diajarkan oleh SMK NU 01 Kendal dalam jurusan RPL. Di era ini, desain animasi 3D menjadi fokus bidang yang menarik dalam industri multimedia. Maka pada PkM ini akan memberikan pelatihan membuat animasi 3D menggunakan aplikasi Blender. Aplikasi Blender merupakan salah satu program animasi 3D yang sifatnya open source. Aplikasi Blender digunakan untuk membuat model 3D, animasi, efek visual, model cetak 3D, dan permainan video. Hasil dari kegiatan yang di ikuti oleh 12 siswa RPL ini menunjukan bahwa ada peningkatan kemampuan mengetahui aplikasi blender dan memahami membangun desain 3D dari sebelum kegiatan hanya 9,7% yang merespon denga jawaban Ya, namun setelah pelatihan dalam hasil post-test menunjukkan adanya peningkatan dari 12 responden yang menjawab Ya menjadi sebesar 92,7%. Hal ini memberikan arti bahwa pengabdian yang kami lakukan berhasil.
Analisis Klasifikasi Sentimen Neobank: Perbandingan Konfigurasi N-Gram pada TF-IDF Menggunakan Naive Bayes dan SVM Fatha Amin Mujtahid; Badroe Zaman; Galet Guntoro Aji
TIN: Terapan Informatika Nusantara Vol 6 No 12 (2026): May 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i12.9702

Abstract

The increasing number of Neobank users in Indonesia has led to a growth in user reviews on the Google Play Store, which can be utilized to assess service satisfaction and user experience. Manual analysis of these reviews is inefficient, prompting the use of automated machine learning approaches. This study evaluates the effect of N-Gram configurations in TF-IDF feature extraction on the performance of sentiment classification of Neobank reviews using Naive Bayes (NB) and Support Vector Machine (SVM). The dataset consists of 3,798 reviews, preprocessed from 5,000 initial entries collected from Google Play Store Indonesia, with 2,385 positive and 1,413 negative reviews labeled based on star ratings. Data were split using stratified five-fold cross-validation to ensure balanced class proportions in each fold. Features were extracted with TF-IDF using three N-Gram configurations: unigram, bigram, and unigram+bigram. Results indicate that N-Gram configuration significantly affects the performance of both models. NB achieved the highest accuracy with unigram (87.65%), while SVM performed best with unigram+bigram (88.61% accuracy and 88.22% F1-score). Bigram consistently yielded the lowest performance due to short and informal reviews producing sparser features. This study concludes that N-Gram selection should align with algorithm characteristics, and SVM with unigram+bigram is the most effective approach for sentiment classification of Neobank reviews in Indonesia.
Rancang Bangun Sistem Informasi Pemesanan Air Galon Berbasis Web Menggunakan Metode RAD Muhammad Rizal; Galet Guntoro Setiaji; Badroe Zaman
TIN: Terapan Informatika Nusantara Vol 7 No 1 (2026): June 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i1.10069

Abstract

The utilization of digital technology has become an essential aspect of improving business management effectiveness, including in the water refill depot sector. At Air Tirta Kencana Depot in Demak Regency, the ordering process and transaction recording are still carried out manually, resulting in slower data processing, an increased risk of recording errors, and customer service that has not been performed optimally. This study aimed to develop a website-based water gallon ordering system by applying the Rapid Application Development (RAD) approach. Research data were collected through observation, interviews, and literature studies. System testing was conducted involving 13 respondents to evaluate system functionality and usability using Black Box Testing and User Acceptance Testing. The developed system was equipped with integrated features for customer data management, transaction ordering, and sales information within a single platform. The integration of these features facilitated ordering, recording, and transaction monitoring processes in a more organized manner according to the operational needs of the depot. In addition, the system enabled users to access order information more quickly and systematically. Based on the testing results, the web-based information system was able to support transaction recording processes to become faster, more organized, and easier to manage. Furthermore, the system achieved a testing success rate of 80% and assisted in monitoring orders and transactions more accurately. The contribution of this research lies in the development of an integrated ordering and transaction management system within a single platform, enabling depot operational processes to be monitored in a more structured manner. Based on these findings, the system also supports more effective business decision-making and helps improve the overall operational quality of the water depot.
Co-Authors Ahmad Rifa’i Ardima, Muhammad Basyier Astrid Novita Putri, Astrid Eka Putri Rachmawati Fatha Amin Mujtahid Galet Guntoro Aji Handayani, Sri Khoirudin Khoirudin, Khoirudin Krida Pandu Gunata Lenny Margaretta Huizen Mohammad Burhan Hanif Muhammad Rizal Nurtriana Hidayati Prind Triajeng Pungkasanti, Prind Triajeng Pungksanti, Prind Triajeng Setiaji, Galet Guntoro Siti Asmiatun, Siti Surono Titis Handayani Wicaksana, Dinar Anggit