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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal TEPAT: Teknologi Terapan untuk Pengabdian Masyarakat
Andini Dani Achmad
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Engineering Public Health

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Pelatihan Trouble Shooting Sistem RO di Kecamatan Marusu Kabupaten Maros Dewiani Dewi Djamaluddin; Muh Anshar; Zaenab Muslimin; Rhiza S. Sadjat; Elyas Palantei; Merna Baharuddin; Andini Dani Achmad; Wardi -; Syafruddin Syarif
JURNAL TEPAT : Teknologi Terapan untuk Pengabdian Masyarakat Vol 2 No 2 (2019): Aplikasi Teknologi untuk Hidup Masyarakat yang Lebih Baik
Publisher : Faculty of Engineering UNHAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (663.146 KB) | DOI: 10.25042/jurnal_tepat.v2i2.100

Abstract

This past year in Tellumpoccoe Village has made effective the performance of equipment with hybrid water supply technology through pump wells and automation technology and integrated filtering systems to improve water quality. For household level consumption, a family sample is taken to clean water and provide assistance during the installation process and the feasibility test for filtered water consumption. Besides that, an engineering team of 26 people had formed. With the passage of time the equipment has been able to be used by the community in tellumpoccoe village well until a major flood disaster occurred in early October last year 2018. So that as a result of the flooding the RO equipment was soaked so that it could no longer be used. New problems arise because of the ignorance of the community to improve the tool. So as to overcome these problems, training is conducted to overcome the existing problems so that the equipment can be reused. So that this community service activity was held which aims to provide training on how to maintain and repair (Trouble Shooting) the existing RO system so that villagers will be able to maintain the sustainability of the clean water mechanism.
Sosialisasi Managemen Parkir Cerdas Pada Departemen Teknik Elektro Universitas Hasanuddin Dewiani Dewi Djamaluddin; Syafruddin Syarif; Andani Achmad; Muh Anshar; Samuel Panggalo; Elyas Palantei; Wardi .; Zaenab .; Merna Baharuddin; Ejah Umraeni; Andini Dani Achmad; Azran Budi Arief; Milleneo .; Al Kautsar
JURNAL TEPAT : Teknologi Terapan untuk Pengabdian Masyarakat Vol 5 No 1 (2022): Kebersamaan dalam Membangun Masyarakat Tangguh dan Gesit
Publisher : Faculty of Engineering UNHAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/jurnal_tepat.v5i1.252

Abstract

The Department of Electrical Engineering, Faculty of Engineering, Hasanuddin University has an automatic gate based on Radio Frequency Identification (RFID) using employee and lecturer cards. However, it is still often found that vehicles are parked irregularly between the cars and motorbikes of employees and lecturers so that the parking space that should be able to accommodate more vehicles is limited. This service aims to implement a web-based parking reservation and monitoring system. Monitoring the availability of land and parking spaces is displayed in real-time on the website. In addition, users can make reservations on available land through the website online so there is no need to worry about the available parking space being used by other users. This system is placed in the parking lot of the Department of Electrical Engineering which consists of 20 parking slots that are installed in parallel and each slot area is equipped with sensors to indicate the presence of parked vehicles in the right place. Users can reserve a parking slot using a mobile phone that has been integrated with parking management. Parking slots that have been reserved by one user, cannot be used by other users. After the system is installed, demonstrations and socialization are carried out to students, lecturers, and staff of the Department of Electrical Engineering. With this parking access management system, the parking conditions are getting more regular and the security level is getting better because all vehicles that have access in and out are properly recorded.
Pelatihan Instalasi Listrik Rumah Tangga untuk Pemuda di Kecamatan Manggala Makassar sebagai Upaya Penciptaan Lapangan Kerja Baru Yusran Yusran; Andani Ahmad; Indar Chaerah Gunadin; Muh. Bachtiar Nappu; Ardiaty Arief; Intan Sari Areni; Hasniaty A; Ida Rahmaniar Sahali; Andini Dani Achmad
JURNAL TEPAT : Teknologi Terapan untuk Pengabdian Masyarakat Vol 3 No 1 (2020): Penguatan Masyarakat melalui Pemanfaatan Teknologi
Publisher : Faculty of Engineering UNHAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (230.137 KB) | DOI: 10.25042/jurnal_tepat.v3i1.108

Abstract

The topic of community service activities is the Household Electrical Installation Training for Youth in Manggala District Makassar as an Effort to Create New Jobs. The method of activity is household electrical installation training with two approaches, theory and practice. The training was evaluated using the questionnaire method with closed questions. In general, the implementation of the training was considered to be going well. This is reflected in the responses of respondents in the training participant questionnaire Respondents who answered well were 28.6% and those who answered very well were 71.4%.
Sosialisasi Penggunaan Parkir Cerdas Pada Departemen Teknik Elektro Universitas Hasanuddin Dewiani Dewi Djamaluddin; Syafruddin Syarif; Muh Anshar; Intan Sari Areni; Elyas Palantei; Samuel Panggalo; Zaenab Muslimin; Wardi Wardi; Andini Dani Achmad; Hasniaty Hasniaty; Azran Budi Arief; Muhammad Hanan
JURNAL TEPAT : Teknologi Terapan untuk Pengabdian Masyarakat Vol 4 No 1 (2021): Kesadaran Sosial dalam Memperkuat Kehidupan Masyarakat dalam Era Pandemi
Publisher : Faculty of Engineering UNHAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/jurnal_tepat.v4i1.164

Abstract

Departemen Teknik Elektro Fakultas Teknik Universitas Hasanuddin memiliki tempat parkir kendaraan yang cukup memadai tetapi belum tertata dengan baik. Dimana sering didapati kendaraan terparkir tidak teratur antara mobil dan motor dosen, pegawai dan mahasiswa sehingga menyulitkan pengendara lain untuk keluar masuk dari lahan parkir. Pengabdian ini bertujuan untuk mengimplementasikan sistem identifikasi pengguna kendaraan berbasis kartu RFID untuk membuat dosen, staf dan mahasiswa lebih teratur dalam parkir. Sistem ini dipasangkan pada lahan parkir Departemen Teknik Elektro yang terdiri dari sebuah barrier gate dengan lengan sepanjang 4 m, sebuah controller yang terhubung dengan internet, serta dua buah card reader sebagai akses untuk keluar masuk lahan parkir. Untuk dapat keluar/masuk lahan parkir pengguna kendaraan harus terlebih dahulu menempelkan kartu pada card reader yang ada di jalur keluar/masuk lahan parkir. Setelah sistem terpasang maka dilakukan demo dan sosialisasi kepada mahasiswa, dosen, dan staff Departemen Teknik Elektro. Dengan adanya sistem akses lahan parkir ini kondisi perparkiran semakin teratur dan tingkat keamanan menjadi lebih baik karena semua kendaraan yang memiliki akses keluar masuk sudah terdata dengan baik. Selain itu sistem akses lahan parkir yang dimplementasikan dapat mengurangi waktu untuk pengecekan identitas pengguna kendaraan sehingga menghindari terjadinya penumpukan kendaraan pada akses masuk dan keluar lahan parkir.
Enhancing Stroke Prediction with Logistic Regression and Support Vector Machine Using Oversampling Techniques Risal, Syamsul; Fajar Apriyadi; A. Sumardin; Andini Dani Achmad; Annisa Nurul Puteri
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 3 (2025): June 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i3.6431

Abstract

Stroke is a significant health concern that can result in both death and disability, making the early identification of risk factors crucial. Previous studies on stroke prediction have been limited by inadequate handling of class imbalance, lack of comprehensive feature selection, and parameter optimization, with accuracy rates usually below 80%. This study compares the performance of Logistic Regression (LR) and Support Vector Machine (SVM) algorithms combined with different oversampling methods—SMOTE, Borderline-SMOTE, ADASYN, Random Over Sampling (ROS), and Random Under Sampling (RUS)—on a stroke prediction dataset. Correlation-based feature selection identified age, hypertension, and heart disease as significant predictors. GridSearchCV with 10-fold cross-validation was used for hyperparameter optimization, and performance was evaluated using precision, recall, accuracy, and ROC curves. The results showed that SVM significantly outperformed Logistic Regression across all sampling methods. SVM+ROS achieved the highest performance with perfect recall (100%), precision of 97.18%, and accuracy of 98.56% (AUC: 0.9857), whereas SVM + Borderline-SMOTE offered balanced performance with a recall of 94.99%, precision of 95.06%, and accuracy of 95.17% (AUC: 0.9512). LR + Borderline-SMOTE performed the best with an accuracy of 84.98% (AUC: 0.8503), significantly better than previous studies. This improved accuracy shows significant clinical benefits, potentially reducing missed stroke diagnoses by identifying thousands of additional at-risk patients in large-scale screening programs. Healthcare providers should consider implementing SVM with ROS in critical care settings, where potentially missed stroke cases have severe consequences. Simultaneously, SVM with Borderline-SMOTE may be more appropriate for resource-constrained environments.
Co-Authors A. Sumardin Al Kautsar Andani Achmad Andani Ahmad Annisa Nurul Puteri Ardiaty Arief Azran Budi Arief Dewiani Dewi Djamaluddin Ejah Umraeni Elyas Palantei Fajar Apriyadi Gunadin, Indar Chaerah Hasniaty A Hasniaty Hasniaty Ida Rahmaniar Sahali Intan Sari Areni Merna Baharuddin Milleneo . Muh Anshar Muhammad Hanan Nappu, Muhammad Bachtiar Rhiza S. Sadjat Risal, Syamsul Samuel Panggalo Syafruddin Syarif Wardi - Wardi . Wardi Wardi Yusran Yusran Zaenab . Zaenab Muslimin