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All Journal Jurnal Sistem dan Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JTERA (Jurnal Teknologi Rekayasa) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Journal of Innovation and Future Technology (IFTECH) Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Jurnal Minfo Polgan (JMP) Ceddi Journal of Information System and Technology (JST) Inspiration: Jurnal Teknologi Informasi dan Komunikasi Jurnal MediaTIK
Annisa Nurul Puteri
Universitas Teknologi Akba Makassar
Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics Mechanical Engineering Social Sciences Other

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Sistem Informasi Manajemen Wisuda Berbasis Website Menggunakan Metode Waterfall Arizal; Annisa Nurul Puteri
Jurnal Sistem dan Informatika (JSI) Vol 14 No 2 (2020): Jurnal Sistem dan Informatika (JSI)
Publisher : Bagian Perpustakaan dan Publikasi Ilmiah - Institut Teknologi dan Bisnis (ITB) STIKOM Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30864/jsi.v14i2.309

Abstract

Pelayanan administrasi kepada mahasiswa menjadi satu hal yang penting pada sebuah universitas. Sistem informasi dapat membantu untuk mempermudah dan mempercepat pelayanan. Salah satu jenis pelayanan administrasi yaitu pelayanan manajemen wisuda yang masih dilakukan secara manual mulai dari pengambilan formulir hingga pengumpulan pelaksanaan wisuda. Sistem informasi wisuda merupakan salah satu cara agar pelayanan wisuda dapat dilaksanakan dengan lebih efektif dan efisien. Penelitian ini merancang sebuah sistem informasi manajemen wisuda berbasis website yang dapat membantu calon wisudawan, staf Prodi, dan panitia wisuda dalam manajemen proses wisuda. Metode waterfall digunakan dalam mengembangkan perangkat lunak. Sistem dirancang menggunakan use case diagram dan rich picture diagram untuk menjelaskan interaksi antara pengguna dengan sistem. Hasil dari penelitian ini adalah sebuah sistem informasi manajemen wisuda berbasis website yang menjadikan proses manajemen wisuda lebih efektif, efisien, dan sistematis. Berbagai fitur dalam sistem informasi ini memudahkan calon wisudawan, staf Prodi, dan panitia wisuda dalam melakukan manajemen data dan informasi wisuda. Selain itu, sistem informasi ini membuat pelaporan data menjadi lebih terkontrol karena data diperbarui secara real time.
Metode Prototype pada Sistem Informasi Manajemen Tugas Akhir Mahasiswa Berbasis Website Arizal Arizal; Annisa Nurul Puteri; Furqan Zakiyabarsi; Dimas Febriyan Priambodo
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 10, No 1 (2022): Jurnal TiKomSiN, Vol. 10, No. 1, April 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v10i1.606

Abstract

Final Project as a Research is one of the main requirements for the graduation of undergraduate students from universities. Supervisory guidance is one way to find solution for student research problems. The final project guidance process involves multiple parts: campus administration, supervisors, and students. However, this process is often difficult to carry out properly because of the busyness of each individual, both lecturers and students. As a result, the process for carrying out the final project was hindered. Another thing that makes the completion of the thesis slow is the administrative service procedure to complete the final project which is too time consuming. This research aims to simplify and speed up the process of completing the student's final project. The prototype method is used to develop the final project management information system. This information system is designed using use case diagrams, rich picture diagrams, and entity relation diagrams. Tests were carried out using the black box method. The result of the research is a final project management information system which makes the student's final project completion process more efficient and effective. This information system facilitates administrative services and monitoring of the final project because it is performed systematically and can be controlled in real time. 
Development of Client Server-Based Queuing Applications at The Samsat Gowa Office Arsan Kumala Jaya; Akbar Hendra; Muhammad Sabirin Hadis; Muhammad Rizal; Randy Angriawan; Annisa Nurul Puteri
Ceddi Journal of Information System and Technology (JST) Vol. 1 No. 2 (2022): December
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (925.604 KB) | DOI: 10.56134/jst.v1i2.19

Abstract

The government has established a SAMSAT (One-Stop Manunggal Administration System) office which has duties in the motor vehicle tax service. Queuing activities make people spend their time waiting. Therefore, it is necessary to create a queuing system that can inform the estimated queue time remotely. The queuing system does not require users to wait physically, so the waiting time needed to queue can be used by taxpayers to carry out their own personal and work activities that are more useful. Queuing application development aims to develop queuing service features from previous applications which only provide queued information on taxpayers. Features developed in the form of queuing data processing with different activities, monitoring information on time and queue status periodically. The research method used is SDLC (Software Development Life Cycle) with a prototype model. The test results using the Gray Box Testing method show that queuing applications in government agencies providing motorized vehicle tax services have been successfully developed.
SISTEM REKOMENDASI PEMINJAMAN BUKU DENGAN METODE USER-BASED COLLABORATIVE FILTERING PADA PERPUSTAKAAN SEKOLAH BERBASIS WEBSITE Sirwan Sirwan; Pasnur Pasnur; A Sumardin; Annisa Nurul Putri; Mashud Mashud
Journal of Innovation And Future Technology (IFTECH) Vol 5 No 1 (2023): Vol 5 No 1 (February 2023): Journal of Innovation and Future Technology (IFTECH)
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v5i1.2420

Abstract

Book Lending Recommendation System Using User-Based Collaborative Filtering Method in Website-Based School Libraries.The purpose of this research is to design and implement a Book Lending Recommendation System with User-Based Collaborative Filtering Method in School Libraries. This data was obtained through: 1) Observation, 2) Interview, 3) Documentation. By using the User-Based Collaborative Filtering method in making this application. In making this application the User-Based Collaborative Filtering method is used to make recommendations based on book ratings given by library members.The results of this study indicate that the application of the Book Lending Recommendation System at the website-based school library with the User-Based Collaborative Filtering method is declared feasible to use with the percentage results on the testing aspects with a percentage rate of 84% getting a good response.
Rancang Bangun Aplikasi GIS Pusat Oleh-Oleh Toraja Berbasis Web Fitriana M. Sabir; Asrul; Annisa Nurul Puteri; Amran Amiruddin; Mashud; Sidik Sakti Patalangi
Jurnal Minfo Polgan Vol. 12 No. 1 (2023): Artikel Penelitian 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v12i1.12742

Abstract

Oleh-oleh sering disinonimkan dengan souvenir, buah tangan atau cinderamata adalah sesuatu yang dibawa oleh seseorang ke rumahnya untuk mengenang daerah yang telah dikunjungi, terutama para wisatawan. Pendatang atau wisatawan yang ingin membeli oleh-oleh khas Tana Toraja biasanya hanya mengandalkan informasi yang terbatas dari orang per orang sehingga hasil pencariannya pun tidak efektif dan efisien. Tujuan dari penelitian ini adalah untuk merancang suatu sistem informasi geografis pusat oleh-oleh khas Toraja berbasis web. Analisis yang digunakan pada penelitian ini adalah analisis PIECES yang mengatur Performance, Information, Economy, Control, Eficiency Dan Services. Perancangan proses menggunakan UML, bahasa pemrograman PHP sebagai pengkodean yang digunakan, untuk pengujian dengan menggunakan pengujian aplikasi menggunakan UAT dan MySQL sebagai database[1]. Berdasarkan hasil pengujian yang diperoleh dari kuesioner sebesar 89,4% yang menunjukkan bahwa sistem yang dirancang berjalan baik dan sesuai dengan fungsinya. Pada penelitian ini menghasilkan sistem informasi geografis pusat oleh-oleh khas Toraja berbasis web.
EVALUASI FITUR SCANNING DAN KINERJA TRANSMISI DATA MODUL HC-05 VERSI 2.0 DENGAN VERSI 3.0 DI LINGKUNGAN LINE OF SIGHT (LOS) Muhammad Sabirin Hadis; Muhammad Rizal; Annisa Nurul Puteri; Akbar Hendra
Jurnal MediaTIK Volume 3 Issue 2, Mei (2020)
Publisher : Jurusan Teknik Informatika dan Komputer

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

Abstract

This study examines the scanning features and compares the data transmission performance of the HC-05 version 2.0 module with the HC-05 version 3.0 module using distance and data size parameters. Scanning feature testing aims to ensure this feature can function adequately on each HC-05 module. Data transmission performance was tested using data packet size parameters with variations of 10 bytes, 100 bytes, and 500 bytes and sending distances with changes of 10 meters, 20 meters, 40 meters, 60 meters and 80 meters. The results of the data transmission performance are compared to find out which version has the most optimal performance. Based on the tests carried out, HC- 05 version 2.0 is the best module to be used in Line of Sight (LoS) environmental conditions because the scanning feature functions according to the instructions of the datasheet and the data transmission performance runs smoothly, the maximum distance reaches 89 meters. While the HC-05 version 3.0 scanning feature does not function properly, and data transmission performance only reaches a distance of 60 meters.
Development of Client Server-Based Queuing Applications at The Samsat Gowa Office Kumala Jaya, Arsan; Hendra, Akbar; Muhammad Sabirin Hadis; Muhammad Rizal; Randy Angriawan; Annisa Nurul Puteri
Ceddi Journal of Information System and Technology (JST) Vol. 1 No. 2 (2022): December
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v1i2.19

Abstract

The government has established a SAMSAT (One-Stop Manunggal Administration System) office, which has duties in the motor vehicle tax service. Queuing activities make people spend their time waiting. Therefore, it is necessary to create a queuing system that can inform the estimated queue time remotely. The queuing system does not require users to wait physically, so the waiting time needed to queue can be used by taxpayers to carry out their own personal and work activities that are more useful. Queuing application development aims to develop queuing service features from previous applications, which only provide queued information on taxpayers. Features developed in the form of queuing data processing with different activities, monitoring information on time, and queue status periodically. The research method used is SDLC (Software Development Life Cycle) with a prototype model. The test results using the Gray Box Testing method show that queuing applications in government agencies providing motorized vehicle tax services have been successfully developed.
Zoea Crab Larva Counter (CLARCO) Based On Image Processing With Adaptive Gaussian Filter Algorithm And Blob Detection Technique Zakiyabarsi, Furqan; Arizal, Arizal; Nurul Puteri, Annisa; Zulfajri S, Achmad; Syafaat, Muhammad
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 13 No. 1 (2023): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v13i1.48

Abstract

The size of crab larvae is very small, so there is no accurate and easy-to-use crab larvae counting tool at an affordable price. The low larval survival rate is due to the unknown larval stocking density, which causes cannibalism, a feed-to-larvae ratio that is out of proportion to the number of larvae needed to maintain water quality, a water supply that is out of proportion to stocking density, and is economically unfavorable in terms of cultivation, feed management, maintaining water quality, and the buying and selling process. Accurately estimating the amount of crab larvae is anticipated to boost their survival rate and make them more economically successful. This research is a continuation of previous research with the addition of different methods using adaptive gaussian filter algorithms and blob detection techniques to count crab larvae in the zoea-2, zoea-3, and zoea-4 phases where an increase in accuracy was obtained with an average of 97.67 %.
Comparison of Random Forest and XGBoost for Diabetes Classification with SHAP and LIME Interpretation Mubaraqah, Mubaraqah; Puteri, Annisa Nurul; Sumardin, A.
JTERA (Jurnal Teknologi Rekayasa) Vol 9, No 2: December 2024
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v9.i2.2024.121-130

Abstract

Diabetes Mellitus (DM) merupakan tantangan kesehatan global yang membutuhkan pendekatan inovatif untuk deteksi dini dan manajemen yang efektif. Studi ini bertujuan untuk membandingkan algoritma Random Forest  dan XGBoost  dalam klasifikasi diabetes sambil meningkatkan interpretabilitas model menggunakan teknik AI yang Dapat Dijelaskan (XAI)  seperti SHAP dan LIME. Metodologi ini melibatkan pemrosesan kumpulan data publik yang berisi 70.000 entri dengan 34 fitur medis, melatih model dengan parameter yang dioptimalkan, dan melakukan analisis interpretatif. Hasil menunjukkan bahwa XGBoost mencapai akurasi yang lebih tinggi (90,6%) dengan generalisasi yang lebih baik, sementara Random Forest unggul dalam efisiensi pelatihan. Analisis fitur mengidentifikasi faktor-faktor utama seperti Usia, Kadar Glukosa Darah, dan Penambahan Berat Badan Selama Kehamilan sebagai kontributor signifikan terhadap prediksi. Temuan ini memberikan panduan model yang akurat dan transparan untuk mendukung pengambilan keputusan medis.
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 A. Sumardin Ade Putra Akbar Hendra akbar hendra Amran Amiruddin Andini Dani Achmad Andini Dani Achmad Andita Dani Achmad ARIZAL Arizal, Arizal Arsan Kumala Jaya Asrul Asrul Asrul Bahar, Harmiaty Dimas Febriyan Priambodo Fajar Apriyadi Fitriana M. Sabir Furqan Zakiyabarsi Hadis, Muhammad Sabirin Hendra, Akbar Hendra, Akbar Akbar Hidayat Saputra, Febri Kamal Kamal M. Sabir, Fitriana Mashud Mashud, Mashud Mubaraqah, Mubaraqah Muhammad Rizal Muhammad Rizal Muhammad Sabirin Hadis Muhammad Sabirin Hadis Muhammad Sabirin Hadis Pasnur Pasnur Randy Angriawan Randy Angriawan Risal, Syamsul Rizal, Muhammad Muhammad rohayati rohayati Sidik Sakti Patalangi Sulehu, Marwa Sumardin, A. Suryadi Syamsu Syafaat, Muhammad Topan Leoni Putra Windayani, Windayani Yamansah, Yamansah Zulfajri S, Achmad