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All Journal Foristek AKSIOMA Jurnal Pendidikan Matematika Proceeding International Conference on Information Technology and Business Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Technomedia Journal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) CCIT (Creative Communication and Innovative Technology) Journal ScientiCO : Computer Science and Informatics Journal Jurnal Teknik Informatika (JUTIF) Aksioma Jurnal Locus Penelitian dan Pengabdian Jurnal Algoritma Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Gramaswara: Jurnal Pengabdian kepada Masyarakat Jurnal Kreatif Online Innovative: Journal Of Social Science Research Madani: Multidisciplinary Scientific Journal Nanggroe: Journal Of Scholarly Service Information Technology Education Journal Nanggroe: Journal of Scholarly Service The Indonesian Journal of Computer Science Jurnal MediaTIK Media Elektrik AKSIOMA
Lamasitudju, Chairunnisa
Teknik Informatika, Fakultas Teknik, Universitas Tadulako
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Other

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Digitalisasi Pembelajaran Budaya Sulawesi Tengah melalui Augmented Reality Menggunakan Metode Marker-Based Tracking Saleh, Muhammad Taufik; Lamasitudju, Chairunnisa Ar.; Pusadan, Yazdi; Laila, Rahmah; Pratama, Septiano Anggun
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4195

Abstract

Central Sulawesi has a diverse cultural heritage, but the rapid development of technology poses new challenges in maintaining the interest of the younger generation in local culture. This research developed a culture-learning application based on Augmented Reality (AR) using the Marker Based Tracking method for students at SDN Inpres 2 Tanamodindi to address these challenges. The application, "Mari Berbudaya," is designed to increase students' interest in local culture by providing an interactive and innovative learning experience through AR technology. This study employs a qualitative approach and prototyping method. Black box testing results confirm that all main functions of the application work well, while distance testing shows that markers can be optimally detected up to a distance of 1 meter. A questionnaire evaluation of the students resulted in an overall score of 89% with a classification of very feasible. Thus, from the overall evaluation, the "Mari Berbudaya" application has proven effective in increasing students' interest and understanding of Central Sulawesi's culture through AR technology.
Perancangan Proses Bisnis Sistem PPDB Dengan Fokus User Experience Pada CV Mitra Global Techno (Studi Kasus TK IT AL Qolam) Pratama, Septiano Anggun; Lamasitudju, Chairunnisa Ar; Hendra, Syaiful; Putri, Fadiah Suryani
Foristek Vol. 13 No. 2 (2023): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v14i2.304

Abstract

Admission of New Students (PPDB) is one of the crucial stages or processes in the world of education, including at the Kindergarten level. A PPDB process that focuses on effective user experience is very important to maintain the reputation of educational institutions and provide a positive experience to parents of prospective students. The Al Qolam IT Kindergarten PPDB process is still carried out manually or conventionally, so it takes quite a long time for parents to process the registration form and return the registration form to the data processing process by the school operator. Considering these problems, designing the PPDB business process with a focus on user experience using BPMN (Business Process Model and Notation), it is hoped that this will create a simpler, more comfortable and intuitive registration experience for parents of prospective students and accuracy in data processing.
Perancangan Database Pada Sistem Informasi Arsip Surat (Studi Kasus Balai Pengelolaan Hasil Hutan Lestari Wilayah XII Palu) Pratama, Septiano Anggun; Ar Lamasitudju, Chairunnisa; Fahmil, Fahmil
Innovative: Journal Of Social Science Research Vol. 3 No. 5 (2023): Innovative: Journal of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

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

Abstract

Penelitian ini ditujukan untuk membuat sebuah sistem informasi arsip surat yang digunakan dikantor Dinas Pengelolaaan Hutan Lestari wilayah XII Palu untuk untuk bisa membuat sebuah sistem yang lebih mempermudah para pengawai yang melakukakan pengarsipan surat yang mungkin lebih manual dan juga tercecernya surat yang telah masuk dalam kantor dinas dalam bidang Data. Metode analisis data yang digunakan dalam merancang sistem yang akan dibuat adalah metode analisis data yang bersifat Kuantitatif. Metode pengembangan sistem yang dilakukan adalah metode prototyping. Metode pengumpulan data yang digunakan yaitu wawancara, observasi, dan studi literatur. Database yang digunakan dalam pembuatan sistem ini yaitu menggunakan phpMyAdmin. Jenis pengujian sistem yang akan digunakan dalam penelitian ini adalah jenis pengujian Black Box.
Automatic Identification of Herbal Medicines Based on Medicinal Plant Leaf Images Using the Scale Invariant Feature Transform (SIFT) Features Kasim, Anita Ahmad; Bakri, Muhammad; Lamasitudju, Chairunnisa; Fachrozi, Ahmad
Prosiding International conference on Information Technology and Business (ICITB) 2023: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 9
Publisher : Proceeding International Conference on Information Technology and Business

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

Abstract

Background: A few people prefer to consume medicinal plants compared to modern medicine. This is because modern medicine contains chemicals which over time can have a bad impact on the kidneys, and medicinal plants are also considered cheap treatments. Meanwhile, in our current environment, there are plants that grow and have certain benefits, but some people don't know whether these plants are herbal medicinal plants or not. By utilizing technology, people can find out about herbal medicinal plants based on the leaves by photographing them on an Android smartphone. Method: The method used to extract features from the leaf image is Scale Invariant Feature Transform (SIFT). Aim: This research aims to recognize leaves whose images have been photographed or uploaded. The system will identify herbal medicinal plants using the leaf image of the plant using the Scale Invariant Features Transform (SIFT) method. Result: Feature Extraction and Support Vector Machine (SVM). With this system, it is hoped that users will be able to identify herbal medicinal plants that may grow in the surrounding environment. Based on the description in the background above, the problem formulation in this research is how to identify herbal medicinal plants using leaf images using Android-based SIFT feature extraction. Conclusion: The results of the confusion matrix test explain that this system has an average accuracy of 77%, which means that this system is quite good at identifying leaf images, even though the error rate is quite high at 23%.Keywords—Medicinal Plant Leafs, SVM, SIFT
MEMBANGUN APLIKASI ARITMATIKA SEDERHANA UNTUK ANAK SD BERBASIS AUGMENTED REALITY (AR) Yuri Yudhaswana Joefrie; Chairunnisa Lamasitudju
Aksioma Vol. 6 No. 2 (2017)
Publisher : Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/aksioma.v6i2.148

Abstract

Abstrak: Melakukan permainan satu sama lain, berinteraksi dengan media pembelajaran, baik itu media display atau pun media realia yang sangat menyenangkan. Di sepanjang jendela dalam kelas atau pun di sudut-sudut kelas, terpasang aneka poster, foto para pahlawan, dan model 3 dimensi yang berbentuk hewan atau pun tumbuhan, ataupun poster yang berisi aritmatika sederhana. Seiring dengan perkembangan zaman, ada beberapa kekurangan dalam media pembelajaran yang dianut secara turun temurun ini. Salah satunya adalah bahwa media pembelajaran itu dapat patah disalah satu bagiannya, atau pun tampak kusam karena jarang dirawat. Hal lain yang mendasari peniliti untuk melakukan riset untuk membangun aplikasi ini adalah adanya pandangan anak didik bahwa mempelajari mata pelajaran matematika itu cukup rumit dikarenakan kesulitan dalam memahami konsep dasarnya. Kemungkinan lain yang dihadapi adalah kurang improvisasinya para guru dalam menyajikan algoritma sederhana atas proses aritmatika sehingga daya nalar dan daya pikir anak didik menjadi berat. Produk yang dibangun dapat menampilkan proses aritmatika sederhana yang cukup interaktif dengan cara yang unik dan menyenangkan. Dimana aplikasi ini dirancang berbasis Augmented Reality yang memberikan tampilan seolah-olah angka tersebut nyata, sebagaimana sering dikenal dengan model 3 dimensi. Siswa tersebut hanya mendekatkan barkode yang telah disediakan didalamnya telah dilengkapi dengan angka-angka dan operator tambah, bagi, kali, kurang dan lain sebagainya. Abstract: Playing games with each other, interacting with instructional media, be it display media or real media fun. Along the window in the classroom or in the corners of the class, there are various posters, photographs of heroes, and 3-dimensional models in the form of animals or plants, or posters containing simple arithmetic. Along with the development of the times, there are some shortcomings in the learning media adopted from generation to generation. One of them is that the learning media can be broken in one part, or looks dull because it is rarely treated. Another thing that underlies the researcher to do research to build this application is the view of students that learning mathematics course is quite complicated due to difficulties in understanding the basic concept. Another possibility faced is the lack of improvisation of teachers in presenting a simple algorithm on the process of arithmetic so that the power of reasoning and thinking power of the students become heavy. Built-in products can feature simple interactive arithmetic processes in a unique and fun way. Where this application is designed based Augmented Reality that gives the appearance as if the number is real, as is often known as 3 dimensional model. Students are just closer barcode that has been provided in it has been equipped with numbers and operators such as, added, mines, multiple, and so forth.
Evaluasi Performa Proof of Work dan Proof of Stake melalui Uji Stres Beban Tinggi Blockchain Yulianti, Indira; Ardiansyah, Rizka; Yazdi Pusadan, Mohammad; Amriana; Lamasitudju, Chairunnisa
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2500

Abstract

Consensus mechanisms play a crucial role in determining the efficiency and scalability of blockchain systems. The two most commonly used algorithms are Proof of Work and Proof of Stake, each exhibiting distinct performance characteristics under high transaction loads. This study aims to evaluate and compare the performance of both consensus mechanisms through a simulation-based experimental approach. Testing was conducted using the Hardhat framework in a local environment under two primary scenarios: transaction scaling and burst transaction.Four evaluation metrics were employed: throughput, transaction latency, finality time, and mempool congestion. The results indicate that Proof of Stake consistently outperforms across all four metrics, demonstrating high throughput, stable latency and finality time, and controlled mempool congestion. In contrast, Proof of Work shows a significant decline in performance under heavy load due to its static and non-adaptive mining process.The Mann-Whitney U statistical test confirms that the performance differences are statistically significant across nearly all metrics. This research provides deeper insights into the strengths and limitations of each consensus mechanism under high-load conditions using Hardhat, and contributes to a broader understanding of blockchain scalability in real-world applications. The findings suggest that Proof of Stake is more suitable for large-scale blockchain implementations that demand high efficiency and speed.
Optimasi Penjadwalan Rapat Berbasis Web Untuk Mengurangi Konflik Jadwal Menggunakan Kombinasi Algoritma Greedy dan Decision Tree Ahmad, Tjoet Muty; Lamasitudju, Chairunnisa Ar.
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.3080

Abstract

The manual meeting scheduling process has a high potential for scheduling conflicts. These conflicts include delays in information, meeting room clashes, or meeting time clashes. These problems are caused by the absence of a system and visualization for managing meeting schedules. To streamline the scheduling process, a website-based meeting scheduling information system was developed for activities that are carried out routinely with high frequency, using a combination of two algorithms that can overcome these problems. The Greedy algorithm is used to detect conflicts, and the rule-based Decision Tree algorithm is used to provide alternative time or room suggestions when schedule conflicts occur. The results of blackbox testing and usability testing prove that the application of these algorithms makes the system more effective and provides the right workflow for this system. This research contributes to the development of an effective meeting scheduling system and integrates two algorithms as a new solution in managing the scheduling process.
Performance Comparison of Multilayer Perceptron (MLP) and Random Forest for Early Detection of Cardiovascular Disease Setiawan, Dita Widayanti; Lapatta, Nouval Trezandy; Amriana, Amriana; Nugraha, Deny Wiria; Lamasitudju, Chairunnisa Ar.
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.10826

Abstract

Cardiovascular disease is a disorder of the heart and blood vessels that can lead to heart attacks, strokes, and heart failure, so early detection is essential. This study compares Multilayer Perceptron (MLP) and Random Forest for risk classification in a Kaggle dataset containing 70,000 samples with balanced targets. Pre-processing included age conversion, outlier cleaning, standardization, and feature selection based on feature importance. Both models were optimized using RandomizedSearchCV and evaluated using accuracy, precision, recall, F1-score, AUC-ROC, confusion matrix, and k-fold cross-validation. The results show that the accuracy of MLP is 73.90% and Random Forest is 74.23% with an AUC of 0.80 for both. Random Forest is more stable across all folds and performs better on the negative class, while MLP is slightly more sensitive to the positive class. Independent t-test and Mann-Whitney U tests show p>0.05, indicating that the difference in performance is not significant. The most influential features were diastolic blood pressure, age, cholesterol, and systolic blood pressure. The non-clinical Streamlit prototype demonstrated the model's potential for education and initial decision support.
Analisis Sentimen Terhadap Kinerja Awal Pemerintahan Menggunakan IndoBERT Dan SMOTE Pada Media Sosial X Ihalauw, Sahron Angelina; Trezandy Lapatta, Nouval; Wiria Nugraha, Deny; Wirdayanti; Ar Lamasitudju, Chairunnisa
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2957

Abstract

Social media platform X has become a key channel for expressing public opinion on political issues, including evaluating the early performance of the government. The first 100 days of an administration are a strategic period to assess policy direction and public perception. This study aims to apply and evaluate the IndoBERT model for sentiment analysis of Indonesian-language tweets discussing the 100-day performance of the Prabowo–Gibran administration, as well as to assess the impact of using the Synthetic Minority Oversampling Technique (SMOTE) to address data imbalance. A total of 15,027 tweets were collected through API crawling and processed through several stages: preprocessing, labeling using the InSet Lexicon, data splitting, and fine-tuning IndoBERT. Two scenarios were tested — without SMOTE and with SMOTE oversampling. The results show that both models achieved the same overall accuracy of 87%, but performance varied across sentiment classes. The model without SMOTE performed better in the positive class with 93% precision, whereas the SMOTE-applied model improved performance in the neutral class (F1-score increased from 70% to 71%; recall from 69% to 71%) and in the negative class (precision increased from 88% to 90%). Considering the balance across classes, the SMOTE-based model was selected as the final model and implemented into a Streamlit application for interactive sentiment analysis. This study expands the application of IndoBERT in the Indonesian political domain by combining the lexical InSet approach with SMOTE oversampling — a combination rarely applied in Indonesian political sentiment analysis. The findings highlight the importance of data balancing strategies in improving transformer-based model performance on imbalanced datasets. Future research is encouraged to explore alternative balancing methods, expand training data, and test other transformer variants to enhance accuracy and generalization.
Analisis Penyakit Mental Menggunakan Algoritma XGBoost Landusa, Natalia Anastasya; Ardiansyah, Rizka; Nugraha, Deny Wiria; Lamasitudju, Chairunnisa; Angreni, Dwi Shinta
Jurnal Locus Penelitian dan Pengabdian Vol. 5 No. 4 (2026): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v5i4.5135

Abstract

Kesehatan mental merupakan bagian penting dalam kesejahteraan individu, dengan gangguan mental seperti skizofrenia, bipolar, dan depresi yang dapat memengaruhi kualitas hidup. Namun, diagnosa yang akurat untuk membedakan jenis gangguan ini seringkali menjadi tantangan karena gejala yang saling tumpang tindih. Penelitian ini bertujuan untuk mengklasifikasikan tiga jenis gangguan mental menggunakan algoritma XGBoost dan mengidentifikasi fitur penting yang berpengaruh dalam proses klasifikasi. Metode yang digunakan mencakup pengumpulan data dari dataset Kaggle yang berisi 3753 data pasien dengan 53 atribut dan 3 kelas gangguan mental. Proses pre-processing dilakukan untuk menormalkan data, yang kemudian digunakan untuk melatih model XGBoost. Hasil penelitian menunjukkan akurasi model sebesar 98,67% dengan nilai precision, recall, dan F1-score yang sangat tinggi, menunjukkan bahwa XGBoost efektif dalam mengklasifikasikan gangguan mental. Fitur utama yang berpengaruh dalam klasifikasi antara lain halusinasi, pikiran atau ucapan yang tidak teratur, dan delusi. Penelitian ini menyarankan penelitian lebih lanjut untuk pengembangan fitur dan validasi klinis model ini dalam konteks dunia medis.
Co-Authors Afifa Afifa Ahmad, Tjoet Muty Amriana Amriana Amriana Andhyka, Andhyka Andi Hendra Andi Hendra Anisa Yulandari Anisa Yulandari Anita Ahmad Kasim Anita Candra Dewi Aqsha, Ismail Ashadi, Nini Rahayu Aulia Izzatul Azmi Bagaskara, Febrian Chrissma Deny Wiria Nugraha Dival Maulana, Muhammad Dwi Shinta Angreni Dwiwijaya, Kadek Agus Fachrozi, Ahmad Fahmil, Fahmil Fizar Syafaat Fuad Mahfud Hamzah Nur Hendra Jaya Ihalauw, Sahron Angelina Jonathan Zebina Laala Karim, Khairul Insan Laila, Rahma Landusa, Natalia Anastasya Makmur, Elfira Makruf Harani Miftah Miftah Miftah Miftah Miftah Miftah, Miftah Mohammad Yazdi Pusadan Muh. Ilham Reonaldi Muhamad Fudhail Muhammad Asriadi MUHAMMAD BAKRI Ngemba, Hajra Nini Rahayu Ashadi Ninik Rahayu Ashadi Nouval Trezandy Lapatta Nuridayanti, Nuridayanti Nursalim, Moh. Agung Pramadinda, Alda Nur Pratama, Moh. Rezki Priska, Salsa Dilah Putri, Fadiah Suryani Rahma Laila Rahmah Laila Rahmah Laila Rifki, Moh Rinianty, Rinianty Rizka Ardiansyah Ryfial Azhar Sabarudin Saputra Saleh, Muhammad Taufik Septiano A Pratama Septiano Anggun Pratama Setialaksana, Wirawan - Setiawan, Dita Widayanti Shabrina Syntha Dewi Siti Fitriana Siti Rahmawati Sulaiman, Dwi Reski Anandari Sulaiman, Dwi Rezky Anandari Syahrullah Syahrullah Syahrullah Syaiful Hendra Tri Krama Widiani, Ni Nengah Widyati, Made Ayu Sri Wirdayanti Wirdayanti Wirdayanti Yulianti, Indira Yuri Yudhaswana Joefrie Yusuf Anshori