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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Natural Science: Journal of Science and Technology Proceeding International Conference on Information Technology and Business JUITA : Jurnal Informatika International Journal of Advances in Intelligent Informatics CESS (Journal of Computer Engineering, System and Science) International Journal on Livable Space SemanTIK : Teknik Informasi JURNAL ILMIAH MATEMATIKA DAN TERAPAN Jurnal Sisfokom (Sistem Informasi dan Komputer) Technomedia Journal ILKOM Jurnal Ilmiah JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) CCIT (Creative Communication and Innovative Technology) Journal Indonesian Journal of Electrical Engineering and Computer Science Advance Sustainable Science, Engineering and Technology (ASSET) Jurnal Algoritma International Journal on Livable Space Applied Engineering and Technology Teknomatika: Jurnal Informatika dan Komputer Tadulako Science and Technology Journal Sasambo: Jurnal Abdimas (Journal of Community Service)
Anita Ahmad Kasim
Universitas Tadulako
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Social Sciences Other

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Evaluating IT Service Capability of Palu BPS Website Using COBIT 5 Framework Ningsih, Alief Surya; Lapatta, Nouval Trezandy; Laila, Rahmah; Kasim, Anita Ahmad; Joefrie, Yuri Yudhaswana; Anshori, Yusuf
CCIT (Creative Communication and Innovative Technology) Journal Vol 19 No 1 (2026): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v19i1.3909

Abstract

This research assesses the IT service capability of the official website of the Palu City Central Bureau of Statistics (BPS) by applying the COBIT 5 framework. The assessment is centered on four key processes from the Deliver, Service, and Support (DSS) as well as Monitor, Evaluate, and Assess (MEA) domains—namely DSS01 (Manage Operations), DSS02 (Manage Service Requests and Incidents), DSS06 (Manage Business Process Controls), and MEA01 (Monitor, Evaluate, and Assess Performance and Conformance). Data were collected through structured interviews, observation sessions with website administrators, and an analysis of supporting documents to determine the current capability levels and compare them with the desired target level of 3. The results show that DSS01 and MEA01 have reached capability level 2, indicating that the processes are defined but not consistently standardized. Meanwhile, DSS02 and DSS06 remain at level 1, indicating reactive operations with limited documentation. The average capability level of 1.5 suggests that there is room for significant improvement in terms of documentation, process formalization, and the use of enabling technologies. Based on these findings, this study recommends targeted improvements to enhance the overall performance and reliability of digital public services, as well as to support better IT governance and e-government practices.
The Implementation and Analysis of The Proof of Work Consensus in Blockchain Therry, Alvin Christian Davidson; Ardiansyah, Rizka; Pusadan, Mohammad Yazdi; Joefrie, Yuri Yudhaswana; Kasim, Anita Ahmad
Advance Sustainable Science, Engineering and Technology Vol 6, No 1 (2024): November-January
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i1.17878

Abstract

Communication in peer-to-peer (P2P) networks presents challenges in maintaining security, data integrity, and decentralization. Consensus mechanisms play a crucial role in addressing these challenges by validating data and ensuring that each entity has synchronized data without intermediaries. This research focuses on the implementation and analysis of the Proof of Work (PoW) consensus mechanism, widely used in blockchain, to enhance understanding of its functions, benefits, and workings or flow. This research, conducted using the Go programming language, successfully implements Proof of Work (PoW) as a security measure, ensuring data integrity, and preventing manipulation. Through black-box testing, this research confirms the functionality and reliability of the implemented Proof of Work (PoW) consensus. These findings contribute to a deeper understanding of consensus mechanisms, offering insights to optimize blockchain protocols and foster trust among entities. This research highlights the relevance of sustainable Proof of Work (PoW) in blockchain technology, emphasizing its role in enhancing security and ensuring data integrity in decentralized networks.
Wina Sentosa Bottled Water Distribution System Using Web-Based Distribution Requirement Planning and Trend Moment Algorithms Uswary, Jonathan Albert; Ngemba, Hajra Rasmita; Hendra, Syaiful; Kasim, Anita Ahmad
Advance Sustainable Science, Engineering and Technology Vol 6, No 2 (2024): February - April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i2.18308

Abstract

This research focuses on the problem of PT Anugrah Wina Sentosa, which is a producer of bottled drinking water in Central Sulawesi. The company faces challenges in organizing and improving the efficiency of the distribution of bottled drinking water products. Problems include distribution management that has not been optimized and distribution arrangements at various outlets that have not been mapped. Based on this problem, researcher develop a web-based distribution system with the Distribution Requirement Planning (DRP) algorithm and Trend Moment Algorithm to see the results of sales and distribution predictions. The designed application can carry out data processing, Distribution Requirement Planning processes, Trend moment processes, MAPE calculations, and sales predictions. The application development method uses the Waterfall method. The test results show that the system can manage input, edit, and delete data and run DRP calculations as a whole or per outlet. With an error value of 1.71%, the trend moment forecasting system proved to be very accurate in forecasting sales of drinking water products. Thus, the implementation of a web-based distribution system can improve production efficiency and facilitate stock management and distribution management at PT Anugrah Wina Sentosa. This research has several limitations that need to be considered, namely limited scope, limited data, limited generalization, limited affordability, and limited time.
Developing Decentralized Data Storage Network Using Blockchain Technology to Prevent Data Alteration Putra, Ryan Adi; Ardiansyah, Rizka; Pusadan, Mohammad Yazdi; Kasim, Anita Ahmad; Joefrie, Yuri Yudhaswana
Advance Sustainable Science, Engineering and Technology Vol 6, No 1 (2024): November-January
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i1.17772

Abstract

In the face of escalating global data exchange, the pronounced vulnerability oftraditional centralized storage networks to manipulation and attacks poses a pressing challenge. Digital service providers, entrusted with vast datasets, grapple with the formidable task of ensuring the security, integrity, and continuous availability of their stored information. This paper tackles these multifaceted issues by proposing a decentralized data storage network empowered by blockchain technology. This approach systematically mitigates the inherent susceptibilities of centralized systems, thereby providing heightened resilience against unauthorized alterations and malicious attacks that compromise digital information integrity. Moreover, the decentralized model holds significant promise for securing public data. By leveraging the transparency and immutability of blockchain ledgers, this approach not only safeguards against unauthorized access but also actively fosters transparency and accountability in data management. This makes it particularly well-suited for ensuring the security and integrity of public data, addressing concerns related to trust and reliability in the ever-evolving landscape of information exchange.
The Implementation of K-means Algorithm for Clustering Traffic Accident Rates on the Highway Ahmad Kasim, Anita; Uyun Mubarak , Siti
Tadulako Science and Technology Journal Vol. 1 No. 1 (2020): TADULAKO SCIENCE AND TECHNOLOGY JOURNAL
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v1i1.15193

Abstract

Introduction : The increase of population in Palu City has result in increased vehicle ownership and increased the risk of traffic problems such as traffic accidents. Sofar, the accident data in the Palu Resort Police Station has not been fully utilized by the interests of related parties. Therefore, the accumulation of data will be processed by data mining techniques. This study aims to cluster the level of accidents in Palu City based on the age of the perpetrators, where the results of the clustering will be used as consideration for the more targeted socialization of traffic accidents. Based on the results of testing with 2 different centroid initialization methods, the results obtained indicatethat centroid initialization using the ranking method has an SSE value of 233.0690397 while centroid initialization using a random method has an SSE value of 356.42304. It proves that centroid initialization using ranking method has better clustering results compared to centroid initialization experiments using random methods.
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
Peningkatan Literasi Bagi Siswa SD di Desa Watumaeta, Kecamatan Lore Utara, Kabupaten Poso Kasim, Anita Ahmad; Nur, Sri Khaerawati; Yulandari, Anisa; Saputra, Sabarudin; Jayanto, Deni Luvi
Sasambo: Jurnal Abdimas (Journal of Community Service) Vol. 7 No. 4 (2025): November
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/sasambo.v7i4.3712

Abstract

Kesenjangan pendidikan di wilayah terpencil yang disebabkan oleh keterbatasan akses dan ekonomi menghalangi anak-anak memperoleh pendidikan dasar yang layak, padahal pendidikan merupakan fondasi penting untuk membentuk karakter dan mencerdaskan kehidupan bangsa sesuai amanat UUD 1945. Kemampuan literasi merupakan keterampilan dasar yang berperan penting dalam mendukung keberhasilan siswa pada jenjang pendidikan berikutnya. Namun, siswa sekolah dasar di daerah pedesaan, termasuk di Desa Watumaeta, Kecamatan Lore Utara, Kabupaten Poso, masih menghadapi tantangan serius dalam keterampilan membaca dan memahami teks. Keterbatasan bahan bacaan, minimnya sarana literasi, metode pengajaran yang konvensional, serta rendahnya dukungan dari lingkungan keluarga menjadi faktor utama yang menghambat perkembangan literasi anak. Untuk mengatasi masalah tersebut, kegiatan pengabdian ini dilaksanakan dengan tujuan meningkatkan literasi siswa melalui penyediaan bahan bacaan tambahan, pembangunan sudut baca di kelas, serta penerapan metode pembelajaran interaktif berupa storytelling, membaca bersama, diskusi, permainan edukatif, dan literasi digital sederhana. Kegiatan dilaksanakan di SDN Watumaeta dengan melibatkan 35 siswa, guru, dan orang tua. Evaluasi dilakukan menggunakan pre-test dan post-test kemampuan membaca. Hasil menunjukkan peningkatan rata-rata skor dari 45,7 pada pre-test menjadi 70,1 pada post-test, dengan rata-rata peningkatan 24,4 poin. Selain capaian kuantitatif, temuan kualitatif memperlihatkan meningkatnya minat baca siswa, partisipasi aktif dalam kegiatan literasi, serta dukungan positif dari guru dan orang tua. Hasil ini membuktikan bahwa intervensi sederhana berbasis sarana baca dan metode interaktif efektif dalam meningkatkan kemampuan literasi siswa di daerah pedesaan. Enhancing Literacy Skills Among Elementary School Students in Watumaeta Village, Lore Utara District, Poso Regency Educational disparities in remote areas caused by limited access and economic constraints prevent children from obtaining adequate basic education, even though education is a crucial foundation for character building and advancing the nation's intellectual life in accordance with the mandate of the 1945 Constitution. Literacy skills are a fundamental competence that plays a crucial role in supporting students’ success in higher levels of education. However, elementary school students in rural areas, including Watumaeta Village, North Lore District, Poso Regency, still face serious challenges in reading and text comprehension. Limited reading materials, inadequate literacy facilities, conventional teaching methods, and lack of family support are major factors that hinder children’s literacy development. To address these issues, this community service program was implemented to improve students’ literacy through the provision of additional reading materials, the establishment of classroom reading corners, and the application of interactive learning methods such as storytelling, shared reading, group discussions, educational games, and simple digital literacy activities. The program was carried out at SDN Watumaeta involving 35 students, teachers, and parents. Evaluation was conducted using pre-test and post-test reading ability assessments. The results showed an increase in the average score from 45.7 in the pre-test to 70.1 in the post-test, with an average gain of 24.4 points. In addition to the quantitative results, qualitative findings indicated improved reading interest, more active participation in literacy activities, and strong support from teachers and parents. These outcomes demonstrate that simple interventions based on reading facilities and interactive methods are effective in enhancing students’ literacy skills in rural elementary schools.
Automatic identification of herbal medicines using deep learning on leaf images Anita Ahmad Kasim; Lukman Nadjamudiin; Muhammad Bakri; Chairunnisa Ardiansyah Lamasitudju; Harry Tanni Pagiu; Puguh Budi Prakoso; Anindita Septiarini; Bima Prihasto
International Journal of Advances in Intelligent Informatics Vol 12, No 2 (2026): May 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v12i2.2024

Abstract

Indonesia has a high diversity of medicinal plants that are widely used in traditional healthcare practices. Identification of medicinal plants is commonly based on leaf morphology; however, similarities in leaf shape, texture, and color often cause misidentification, particularly among non-experts. This limitation highlights the need for an automated and reliable identification approach. The primary objective of this study is to develop and evaluate a deep learning–based system for the automatic identification of medicinal plants using leaf images, with a specific focus on comparing the performance and efficiency of MobileNetV2 and ResNet50V2 architectures. The research design adopts an experimental approach using an internally collected dataset of medicinal plant leaf images representing multiple plant classes. The dataset is divided into training and testing sets to evaluate model generalization. The methodology involves image preprocessing steps, including resizing, normalization, and data augmentation, followed by the application of transfer learning using MobileNetV2 and ResNet50V2 as feature extractors. Both models are trained under the same experimental settings and evaluated using standard classification metrics, including accuracy, precision, recall, F1-score, and confusion matrix analysis. The main outcomes and results indicate that both deep learning models achieve high classification performance. MobileNetV2 achieves an accuracy of 98.77%, precision of 98.84%, recall of 98.77%, and F1-score of 98.77%, while ResNet50V2 achieves an accuracy of 97.53%, precision of 97.87%, recall of 97.53%, and F1-score of 97.58%. The results demonstrate that MobileNetV2 provides slightly superior performance with lower computational complexity. In conclusion, lightweight deep learning architectures such as MobileNetV2 are effective and efficient for medicinal plant leaf identification and are suitable for implementation in mobile or resource-constrained environments.
Implementasi Algoritma First Come First Serve (FCFS) pada Sistem Manajemen Pengaduan Online APTIKA Rizka Annisa; Anita Ahmad Kasim
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3412

Abstract

The high demand for digital services, which is not yet supported by an integrated complaint management system, has led to low transparency and slow handling of reports. This study developed a web- and mobile-based complaint management system by implementing the First Come First Serve (FCFS) algorithm for queue management. The research method uses a mixed method with black-box functional testing and performance evaluation through a pre-test and post-test scheme analyzed using the Paired Sample T-Test. The results show an acceleration in resolution time across all service categories with efficiency levels ranging from 60.9% to 91.3%. Statistically, the significance value (p-value < 0.05) proves an improvement in performance compared to the manual method. The contribution of this research is the integration of FCFS and Role-Based Access Control (RBAC) into a structured and efficient multi-service-based government complaint system. The limitations of this study lie in the use of simulation data in the post-test as well as pre-test data that is estimative with a limited sample, so the results do not yet fully represent real operational conditions and still require further testing.
Pengenalan Batik Bomba Menggunakan Teknologi Augmented Reality Dengan Metode Markerless Berbasis Android Tafania Natalia Kasaedja; Anita Ahmad Kasim; Mohammad Yazdi Pusadan; Syahrullah Syahrullah; Rahmah Laila
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.6128

Abstract

Batik Bomba merupakan kain tradisional khas suku Kaili yang menjadi salah satu kekayaan Sulawesi Tengah. Motif dan pola batik Bomba memiliki bentuk yang unik, dengan makna filosofis yang berlandaskan kehidupan masyarakat suku Kaili yang tersirat didalamnya. Namun pemahaman tentang ragam motif batik Bomba belum dikenal luas oleh masyarakat Sulawesi Tengah khususnya Kota Palu. Hal ini disebabkan karena media informasi untuk visualisasi kain batik Bomba masih kurang, umumnya hanya berbentuk gambar 2D yang dapat ditemui di museum atau pameran seni. Dari permasalahan tersebut, penulis bertujuan untuk memberikan informasi kepada masyarakat lokal maupun masyarakat luar mengenai filosofi motif batik Bomba secara detail dan mudah dipahami dengan memanfaatkan media teknologi Augmented Reality menggunakan metode markerless yang menampilkan objek 3D batik Bomba. Dalam pengembangan aplikasi, penulis menggunakan metode agile Extreme Programming (XP) yang akan diimplementasikan kedalam aplikasi berbasis android. Diperoleh hasil analisis pengujian menggunakan metode Blackbox Testing yang dilakukan oleh develop, dan User Acceptance Testing (UAT) melalui kuesioner yang dibagikan kepada pengguna aplikasi, bahwa aplikasi yang dikembangkan berjalan sesuai dengan fungsionalitasnya dan memperoleh skor rata-rata 107,25 (Sangat Memuaskan). Dengan demikian, aplikasi AR About Bomba dapat menjadi mediator pengenalan filosofi setiap motif batik Bomba.
Co-Authors A.A. Ketut Agung Cahyawan W Agus Harjoko Aimar Anand Amriana Amriana Amriana Amriana Andi Hendra Anindita Septiarini, Anindita Anisa Yulandari Anita Bakri, Muhammad Bakri Bima Prihasto Chairunnisa Ardiansyah Lamasitudju Deni Luvi Jayanto Dwi Shinta Angreni Elyana Aulia Chandra Fachrozi, Ahmad Gator Timbang Hajra Rasmita Ngemba Hardianti Hardianti, Hardianti Harry Tanni Pagiu Hendriyanto Nofri Imbang I Wayan Sudarsana Irwan Mahmudi Istinganatul Nguluwiyah Laila, Rahma Lamasitudju, Chairunnisa Lukman Nadjamuddin Maghfirat Maghfirat Maghfirat, Maghfirat Mohammad Yazdi Pusadan Muh. Ilham Reonaldi Muhammad Bakri MUHAMMAD BAKRI Mutia Ningsih, Alief Surya Nouval Trezandy Lapatta Noviana Noviana Nuraedah Pagiu, Harry T. Puguh Budi Prakoso Putra, Ryan Adi Rahmah Laila Rahmah Laila Rahmawati Rahmawati Raziyan Dwi Pathan Rizka Annisa Rizka Ardiansyah Ryfial Azhar Sabarudin Saputra Selvy Musdalifah Septiano Anggun Pratama Sri Khaerawati Nur Syahrullah Syaiful Hendra Tafania Natalia Kasaedja Therry, Alvin Christian Davidson Uswary, Jonathan Albert Uyun Mubarak , Siti Wirdayanti Yuri Yudhaswana Joefrie Yusuf Anshori Zulnabil Zulnabil