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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Informatika dan Teknik Elektro Terapan Jurnas Nasional Teknologi dan Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Jurnal Sains dan Informatika JURNAL PENDIDIKAN TAMBUSAI LETS: Journal of Linguistics and English Teaching Studies Buletin Sistem Informasi dan Teknologi Islam Jurnal Media Informasi Teknologi Journal of Information Systems and Technology (JISTech) Media of Computer Science JROCK (Journal Research on Computing Knowledge)
Rabiah Adawiyah, Rabiah
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences

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Rancang Aplikasi Booking Layanan Penduduk pada Dinas Kependudukan dan Pencatatan Sipil Kabupaten Bombana Sarman; Adawiyah, Rabiah; Rasyid, Rasmiati; Muhallim, Muhlis
JISTech : Journal of Information Systems and Technology Vol. 1 No. 1 (2024): Juni 2024
Publisher : Perhimpunan Ahli Teknologi Informasi dan Komunikasi Indonesia

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Abstract

This study aims to design and implement a web-based service booking information system for the Department of Population and Civil Registration (Disdukcapil) in Bombana Regency. The system was developed as a solution to address various issues in administrative services, such as long queues, limited human resources, and the inconvenience faced by the public when accessing services directly. By leveraging information technology, this system allows citizens to register and book services online, thereby reducing wait times and improving the operational efficiency of Disdukcapil. The research methodology used in this study is the Waterfall model, which includes stages of requirements analysis, system design, coding, testing, and implementation. The information system was developed using the PHP programming language and a MySQL database, with an interface designed to be user-friendly. System testing was conducted through Blackbox Testing and User Acceptance Testing (UAT), which showed that all the main functions of the system worked as expected, and the majority of users were satisfied with the ease of use and efficiency provided. The results of the study indicate that the web-based service booking information system effectively enhances the quality of services at Disdukcapil Bombana Regency by reducing queue times, facilitating service access, and optimizing data management. The system also demonstrates innovation by providing a more comprehensive solution for various types of civil registration services. However, challenges such as educating the public on the use of digital technology still need to be addressed. Further development recommendations include enhancing features, integrating with other systems, and developing a mobile application to expand service reach
KLASIFIKASI TINGKAT KEMATANGAN CABAI MERAH KERITING MENGGUNAKAN SVM MULTICLASS BERDASARKAN EKSTRAKSI FITUR WARNA Irma, Irma; Muchtar, Mutmainnah; Adawiyah, Rabiah; Sarimuddin, Sarimuddin
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4430

Abstract

The utilization of digital image processing holds significant potential for classifying the ripeness of curly red peppers (Capsicum annuum L.). This study aims to develop an automatic classification method using multiclass Support Vector Machine (SVM) with a linear kernel. Images of peppers, captured using a smartphone camera, were categorized into three classes: ripe, unripe, and semi-ripe. Features such as mean, variance, and range from the RGB color space were extracted for training and testing data. Testing was conducted by dividing the data into training and test sets and employing 10-fold cross-validation. Results demonstrated a classification accuracy of 98.33%. The combination of mean, variance, and range features significantly improved accuracy compared to single features. This research demonstrates the effectiveness of the developed method and its applicability in automated classification systems to support the agricultural sector.
Sistem Informasi Berbasis Web untuk Layanan Ambulans di Puskesmas Tanggetada Cencen; Rasyid, Rasmiati; Sumpala, Andi Tenri; Adawiyah, Rabiah
Journal Research on Computing Knowledge Vol. 1 No. 1 (2024): November 2024
Publisher : Fakultas Teknologi Informasi

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Ambulance services are an essential component of the healthcare system that necessitate rapid and effective administration. At Puskesmas Tanggetada, ambulance service management is conducted manually, frequently encountering issues such as inadequate coordination, delayed responses, and restricted public access to information. This study is to create and implement a web-based information system to facilitate the management of ambulance services at Puskesmas Tanggetada. The study technique encompasses requirements analysis, system design, system development utilizing web-based technologies, and functionality and user acceptance testing. The findings indicate that the built system includes essential functionality such as online ambulance service registration, real-time tracking of ambulance status, automatic user notifications, and the compilation of reports and statistics for service assessment. System testing demonstrates that these functionalities function as intended and can enhance service efficiency. Notwithstanding the system's beneficial effects, issues such as inadequate internet infrastructure and the community's digital literacy persist as significant problems necessitating smart remedies. This web-based information system provides an innovative technology solution and contributes significantly to the digitalization of local healthcare services
Rancang Bangun Sistem Informasi Digital untuk Pendataan Aset Daerah Kabupaten Kolaka Hardiyanti Rukmana; Adawiyah, Rabiah
Journal Research on Computing Knowledge Vol. 1 No. 2 (2025): Maret 2025
Publisher : Fakultas Teknologi Informasi

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Abstract

Regional asset data management is essential for government financial management to guarantee openness, accountability, and efficiency in the use of public assets. The Regional Financial and Asset Agency (BKAD) of Kolaka Regency formerly utilized manual procedures with Microsoft Excel, which presented numerous restrictions, including the potential for recording errors, data duplication, and delays in report generation. This project seeks to create a Digital Information System for Regional Asset Data Management in Kolaka Regency utilizing a web-based platform to tackle these difficulties. The system development adheres to the Waterfall process, which includes requirement analysis, design, implementation, and testing phases. The technology stack comprises PHP as the programming language and MySQL as the database. The system underwent Black Box Testing, which confirmed its efficacy in enhancing data accuracy, accelerating information retrieval, and facilitating automatic report preparation based on asset acquisition years. The evaluation results demonstrate that the created system improves asset management efficiency and facilitates superior decision-making processes.
Decision Support System for Giving Kredit Usaha Rakyat Using the Moora Method Aulya, Novi; Adawiyah, Rabiah; Pasrun, Yuwanda Purnamasari; Nirsal, Nirsal
Jurnal Media Informasi Teknologi Vol. 1 No. 1 (2024): Februari 2024
Publisher : Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mit.v1i1.163

Abstract

People's Business Credit (KUR) is credit or financing in the form of working capital or investment aimed at MSMEs (micro, small and medium enterprises and cooperatives) in productive and viable but not yet bankable businesses with a loan ceiling of up to IDR 500,000,000. 00 guaranteed by the guarantor company. The difficulty faced in determining the prospective beneficiary is that the staff in the utilization section takes a long time to verify the files of the prospective people's business credit recipients. Therefore, an application is needed that can help staff of Bank BRI KCP Lapai, North Kolaka Regency, in determining credit recipients, namely a decision support system. This application is made by applying the MOORA method, the MOORA method is a method that has calculations with minimum and very simple calculations. This method has a good level of selectivity in determining an alternative. The approach taken by MOORA is defined as a process simultaneously to optimize two or more conflicting constraints. Based on the results of system testing using sample data that has been carried out on the Decision Support System, it produces 4 data , 1 data is feasible and 3 data is not feasible.
Case Based Reasoning Untuk Diagnosis Penyakit Demam Berdarah Adawiyah, Rabiah
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 1 No 1 (2017): Vol. 1 No. 1 Februari 2017
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (354.806 KB) | DOI: 10.29407/intensif.v1i1.544

Abstract

Dengue virus is a virus that causes dengue fever (DD), dengue hemorrhagic fever (DBD) and dengue shock syndrome (SSD). This disease is included in the status of outbreaks at the Hospital Benjamin Guluh Kab. Kolaka. The inclusion of this disease in the status of outbreaks then there are many cases / patients are handled every year even every month. The symptoms of a patient diagnosed with dengue fever tend to be similar. Case Based Reasoning (CBR) is one of the methods that can make or solve problems based on the existing case as a solution of new problem. The system built in this study is the CBR system to make a diagnosis of Dengue Fever. The diagnostic process of incorporating new problems compared to old cases then calculated the value of similarity. In this research, Nearest neighbor method is used for similarity process. Tests used 54 cases as randomized test data and 85 cases were used as case basis. The results obtained are 98.14% sensitivity and 99.25% accuracy.
Case Based Reasoning Diagnosis Hama dan Penyakit Tanaman Nilam Adawiyah, Rabiah
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 2 No 1 (2018): Vol. 2 No. 1 Februari 2018
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (465.292 KB) | DOI: 10.29407/intensif.v2i1.11829

Abstract

Patchouli is an oil-producing plant asiri known as patchouli oil (oil patchouli oil) which has a high economic value and a bright prospect. Patchouli plants used as cosmetic ingredients, perfumes, antiseptics, soaps, drugs, and insecticides. Patchouli plant is an agribusiness for farmers and entrepreneurs in order to increase the income and welfare (living standard) of the farm community, as well as provider of continuous materials for the patchouli oil industry. In the development and improvement of patchouli plants experience several obstacles such as pests and diseases that resulted in low yields on patchouli plants, especially in the village of Gunung Sari Watubangga District Kolaka. Pests and diseases are one of the causes of the low production of patchouli leaves that should always be anticipated because the development can cause losses for farmers, so it needs to be anticipated early. Handling patchouli plants are attacked by pests and diseases are often hampered because there are still many farmers who are lay in treating patchouli plants that do not know how to handle it. Case Based Reasoning (CBR) is one method that can reason or solve problems based on existing case experiences that are used as solutions to new problems. The system built in this research is the CBR system to make the diagnosis of Nilam Plant disease so that farmers get information about how to properly cultivate patchouli plants. The diagnostic process of inserting a new case compared to the old case then calculated its similarity value using the Nearest neighbord method. The accuracy of the system generated in this research is 80%.
Optimalisasi Prediksi Lama Studi Mahasiswa Menggunakan Rough Set dan Case-Based Reasoning Sutoyo, Muhammad Nurtanzis; Sutoyo, Muh. Nurtanzis; Adawiyah, Rabiah
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 13 No 1: Februari 2026
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2026131

Abstract

Prediksi lama studi mahasiswa menjadi aspek penting dalam perencanaan akademik, evaluasi kinerja, serta identifikasi potensi keterlambatan kelulusan. Penelitian ini mengusulkan pendekatan hibrida dengan mengintegrasikan metode Rough Set dan Case-Based Reasoning untuk meningkatkan akurasi prediksi kelas lama studi mahasiswa. Metode Rough Set digunakan untuk mengekstraksi aturan klasifikasi berbasis kombinasi atribut IPK, status bekerja, dan status beasiswa, serta menghitung probabilitas kelas pada boundary region. Di sisi lain, metode CBR dimanfaatkan untuk menghitung similarity antar kasus berdasarkan kemiripan atribut, termasuk jumlah SKS yang dinormalisasi. Hasil prediksi dilakukan melalui integrasi probabilitas dari Rough Set dan similarity CBR menggunakan bobot kombinasi sebesar 0.6 dan 0.4. Pada pengujian kasus baru, diperoleh lima kasus historis paling mirip dengan similarity 0.97, empat di antaranya tergolong “Sangat Terlambat” dan satu “Terlambat”. Sementara itu, probabilitas dari Rough Set menunjukkan distribusi 0.667 untuk “Sangat Terlambat” dan 0.333 untuk “Terlambat”. Hasil integrasi memberikan skor akhir sebesar 0.720 untuk “Sangat Terlambat” dan 0.280 untuk “Terlambat”, yang menunjukkan sistem prediksi cenderung kuat terhadap kategori “Sangat Terlambat”. Pendekatan gabungan ini terbukti efektif dalam menggabungkan kekuatan generalisasi dari Rough Set dan fleksibilitas adaptif dari CBR, sehingga dapat digunakan sebagai sistem pendukung keputusan dalam evaluasi akademik berbasis data historis.   Abstract The forecast of student study length is essential for academic planning, performance assessment, and recognizing possible graduation delays. This study presents a hybrid methodology that combines Rough Set theory and Case-Based Reasoning techniques to enhance the precision of predicting student study length classifications. The Rough Set approach is employed to derive classification rules from combinations of attributes, including GPA, job status, and scholarship status, as well as to compute class probabilities inside the boundary region. Simultaneously, the CBR approach is utilized to assess similarity between cases based on attribute similarity, including normalized credit hours (SKS). The prediction results are produced by integrating Rough Set probability and CBR similarity, utilizing weighted values of 0.6 and 0.4, respectively. In the test case, five historical cases with similarity scores of 0.97 were identified, four classified as “Very Late” and one as “Late”. Rough Set probability were 0.667 for “Very Late” and 0.333 for “Late”. The conclusive integrated scores were 0.720 for “Very Late” and 0.280 for “Late”, signifying that the algorithm predominantly forecasts the “Very Late” category. This hybrid methodology adeptly integrates the generalization capabilities of Rough Set theory with the adaptive versatility of Case-Based Reasoning, rendering it appropriate as a decision support system for academic assessment grounded in historical data.
Co-Authors Aminah Suriaman Andi Tenri Sumpala, Andi Tenri Anjar Pradipta Ariani, Irma Aulya, Novi Cencen Efendi, Iswar Handayani, Fitrianti Hardiyanti Rukmana Irawati Irawati Irma Irma La Ode Hasnuddin S. Sagala Lubis, Zulfahmi Mahrum, Mochtar Mardiawati, Mardiawati Muh Nurtanzis Sutoyo Muhallim, Muhlis Mutmainnah Muchtar Nirsal Noorhasanah Zainuddin Qammaddin Qammaddin Rahman, Yandi Rasmiati Rasyid Rita, Ferry Ritonga, Asnil Aida Robby, Ahmad Dai Safrizal Safrizal Sarimuddin, Sarimuddin Sarman Siregar, Siti Kholilah Sriati Usman Sya’ban, Kharis Yuwanda Purnamasari Pasrun