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Maslihatin, Tatik
Universitas Teknologi Akba Makassar
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Android-Based Public Complaint Service System in Malimongan Tua Sub-district, Makassar Resky Wahyuni; Marwa Sulehu; Tamus bin Tahir; Akbar Iskandar; Tatik Maslihatin; Tamra
Jurnal Abdimas Cendekiawan Indonesia Vol. 1 No. 3 (2024): September
Publisher : Yayasan Cendekiawan Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jaci.v1i3.97

Abstract

The problem that occurs in the Public Complaints Service System in Malimongan Tua Village is the absence of a public complaint service system. Therefore, the researcher offers a solution to this problem by designing and implementing an Android-based public complaint service system. The purpose of this study is to design and implement an Android-based public complaint service system. Data were obtained through field research, library research, and interviews. The waterfall method is used in system development. The results of the study indicate that this data was obtained through observation, interviews, and library studies. The waterfall method is used in system development. The results of the study indicate that (the design and manufacture) of the Public Complaint Service System in Malimongan Tua Village, black box system testing ran well, and the results of User Acceptance Testing (UAT) testing on several respondents (Villages and Users) related to the use of the Android-based Public Complaint Service System Optimization application in Malimongan Tua Village, Makassar. In addition, the results of this study have been implemented in the form of community service, where this application helps the people of Malimongan Tua Village to convey their complaints more easily and efficiently, as well as improve the village government's response to problems faced by the community, it is concluded that this application is very suitable for use with a final score of 87.4%.
Implementasi Model Mobilenetv2 Untuk  Klasifikasi Ras Anjing Nurzaenab; Sul Agus Zarni; Andi Yulia Muniar; Tatik Maslihatin; Ika Yuswandari Supagi Supagi; Fitriani M. Sabir
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 3 No. 3 (2026): July
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21579001

Abstract

Identifikasi ras anjing secara visual merupakan tantangan signifikan bagi masyarakat awam karena kemiripan fitur morfologi yang sangat tinggi antar spesies. Kesalahan identifikasi berdampak serius pada ketidaktepatan pola perawatan harian dan penanganan medis spesifik. Penelitian ini mengimplementasikan teknologi visi komputer melalui model Deep Learning berbasis arsitektur MobileNetV2 untuk klasifikasi otomatis ras Basenji, Chow, Dingo, dan Lhasa. Permasalahan utama yang diangkat adalah tingginya variasi intra-kelas dan kemiripan ekstrem antar-kelas pada citra hewan. Metodologi penelitian menggunakan 600 citra berkualitas tinggi dengan tahap preprocessing ketat dan augmentasi data intensif. Teknik transfer learning diterapkan melalui fine-tuning pada 50 lapisan terakhir MobileNetV2. Untuk meningkatkan stabilitas, model dimodifikasi dengan menambahkan lapisan Dense 32 unit, Dropout 0.6, serta Regularizer L2 sebesar 0.003 guna menekan risiko overfitting. Hasil pengujian menunjukkan performa impresif dengan akurasi pelatihan 96% dan akurasi pengujian 93%. Waktu pelatihan sangat efisien, yakni hanya 3 menit untuk 10 epoch. Analisis confusion matrix menunjukkan keunggulan model pada ras Basenji, meskipun terdapat tantangan tekstur bulu pada Lhasa dan Chow. Konfigurasi ini terbukti efektif, ringan, dan siap untuk implementasi real-time pada perangkat seluler.
Co-Authors - STMIK AKBA Makassar, Wisda A Sumardin Abraham Andromeda Punjanan Agus Halid Agus Halid Agus Halid, Agus Akbar Iskandar Al Fiqran, M. Yudi Aman, Andryanto Amran Amiruddin Andi M Yusuf Andi Maulidinnawati Abdul Kadir Parewe Andi Nur Fadillah Andi Sumardin, Andi Andi Yulia Muniar Andi Yulia Muniar Andi Yulia Muniar, Andi Yulia Andis Andis Andryanto A Andryanto, Andryanto ANGRIAWAN, RANDY Annisa Nurul Puteri Ashari, Wahdania Nurarfiani Asnimar Asnimar Asrul Asrul Awaliah, Neneng Ayu Pertiwi Nasaruddin Benny Leonard Enrico Panggabean Butsiarah Dayun Miyanti Dayun Miyanti Elmi Fadli Tamrin Fauziah Suhardi , Rifdah Tami Febri Hidayat Saputra Febri Hidayat Saputra Fitri Laila Fitriana M Sabir Fitriana M. Sabir Fitriani M. Sabir Halfiani, Halfiani Ika Yuswandari Supagi Supagi ILHAM Ilham Ilham Ilham Ilham Iqlimah, Magfirah Nur Khaidir Rahma Nasir Khaidir Rahman Nasir Khaidir Rahman Natsir Latif, Nuraida - Listia Utami M. Sabir, Fitriana Magfirah Nur Iqlimah Markani, Markani Marwa Sulehu Maulidinnawati, Andi Muhajirin, M Muhajirin, Muhajirin Muhammad Akram Hamzah Muhammad Arafah Muhammad Arafah Muhammad Arafah Muhammad Arafah Muhammad Sabirin Hadis Muniar, A Yulia nasir, khaidir rahman Natsir, Khaidir Rahman Neneng Awaliah Nurul Rahmawati Nurwafiqah, Nurwafiqah Nurzaenab Nurzaenab Nurzaenab NURZAENAB, NURZAENAB Parawewe, Andi Maulidinnawati Abdul Kadir Pasnur Pasnur Pasnur Pasnur Pasnur Punjanan, Abraham Andromeda Randy Angriawan RATNAWATI Resha, Muhammad Resky Wahyuni Rika, Rika Sabir, Fitriana M. Saputra, Febri Hidayat Sul Agus Zarni Sumardin, A Sumardin, A. Suryadi Syamsu Suryadi Syamsu, Suryadi Tahir, Tamus Bin Tamra Tamsir Taufik Wisda Rahim Wisda, Wisda Yusuf , Andi M