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Optimasi Pemilihan Mahasiswa Berprestasi Menggunakn Metode Wp (Weighted Product) Berbasis Web Dalam Sistem Pendukung Keputusan Andi Mawaddah Sumardi; Abdul Rifai Wadjidi; Fhatiah Adiba
Jurnal Tika Vol 9 No 2 (2024): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

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Students as learning agents and seekers of knowledge need to be encouraged to explore their potential, including in aspects of hard skills and soft skills. This research focuses on building a Decision Support System (SPK) with the Weighted Product (WP) method to determine the best students. Improving students' future existence depends not only on the excellence of hard skills, but also the balance of soft skills. The research involved four journals related to SPK student selection, and WP was chosen as an evaluation method. The research process begins with literature collection and system design, including design procedures, system usage, relationships between tables, use case diagrams, and WP method flowcharts. The implementation of the system includes a login page, input of criteria and alternative values, and the process of calculating student rankings. WP gives an accurate ranking, with Alternative 9 (Rifai) as the best student. Testing shows a high degree of accuracy between manual results and system results. This DSS provides an objective evaluation of student achievement, with the potential for further development related to data integration with academic systems and user interface improvement. The conclusion of this study is that SPK with the WP method can provide student rankings efficiently and accurately, helping to support decision making related to the selection of the best students. Further development suggestions involve feature enhancements, data maintenance, and further integration with academic systems to improve system reliability.

Optimasi Pemilihan Mahasiswa Berprestasi Menggunakan Metode Wp (Weighted Product) Berbasis Web Dalam Sistem Pendukung Keputusanoptimasi Fhatiah Adiba; Abdul Rifai Wadjidi; Andi Mawaddah Sumardi
Jurnal Tika Vol 9 No 1 (2024): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/tika.v9i1.2353

Students as learning agents and seekers of knowledge need to be encouraged to explore their potential, including in aspects of hard skills and soft skills. This research focuses on building a Decision Support System (SPK) with the Weighted Product (WP) method to determine the best students. Improving students' future existence depends not only on the excellence of hard skills, but also the balance of soft skills. The research involved four journals related to SPK student selection, and WP was chosen as an evaluation method. The research process begins with literature collection and system design, including design procedures, system usage, relationships between tables, use case diagrams, and WP method flowcharts. The implementation of the system includes a login page, input of criteria and alternative values, and the process of calculating student rankings. WP gives an accurate ranking, with Alternative 9 (Rifai) as the best student. Testing shows a high degree of accuracy between manual results and system results. This DSS provides an objective evaluation of student achievement, with the potential for further development related to data integration with academic systems and user interface improvement. The conclusion of this study is that SPK with the WP method can provide student rankings efficiently and accurately, helping to support decision making related to the selection of the best students. Further development suggestions involve feature enhancements, data maintenance, and further integration with academic systems to improve system reliability.

Sistem Penentuan Mahasiswa Berprestasi menggunakan metode Analytic Hierarchy Process (Studi Kasus : Fakultas Teknik UNM) Jariah, Rezki Nurul; Fadiah, Nur; Surianto, Dewi Fatmarani; Parenreng, Jumadi M; Adiba, Fhatiah
Jurnal Eksplora Informatika Vol 14 No 1 (2024): Jurnal Eksplora Informatika
Publisher : Institut Teknologi dan Bisnis STIKOM Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30864/eksplora.v14i1.1096

Penentuan mahasiswa berprestasi merupakan langkah krusial dalam meningkatkan mutu pendidikan, namun menentukan kriteria yang sesuai dan mengukur kinerja mahasiswa secara adil dan efektif merupakan suatu tantangan. Oleh karena itu, penelitian ini bertujuan untuk mengeksplorasi serta mengimplementasikan sistem pendukung keputusan berbasis Analytical Hierarchy Process (AHP) dalam menentukan mahasiswa berprestasi di lingkungan akademik, berdasarkan empat kriteria utama yaitu nilai IPK, jumlah prestasi yang dicapai, partisipasi dalam organisasi, dan total SKS yang telah dilulusi. Hasil penelitian ini menunjukkan bahwa sistem yang dibangun mampu menentukan mahasiswa berprestasi dengan menggunakan bobot standar. Bobot tersebut dihitung berdasarkan nilai IPK minimal 3.5, jumlah prestasi minimal 2, jumlah organisasi minimal 1, dan jumlah SKS yang dilulusi minimal 85. Hasil pengujian diperoleh bahwa Metode AHP dapat diimplementasikan dalam penentuan mahasiswa berprestasi dengan tingkat usabilitas mencapai 91,63% yakni pada kategori sangat layak. Dengan demikian, penelitian ini tidak hanya mengidentifikasi masalah dalam penentuan mahasiswa berprestasi, tetapi juga memberikan solusi konkret melalui penggunaan AHP, membuktikan efektivitasnya dalam meningkatkan keakuratan dalam seleksi mahasiswa berprestasi di lingkungan akademik.

Pengembangan Sistem Informasi Apotek Melati Borong Berbasis Web Muh. Rifqi Fadhil; Jumadi M. Parenreng; Fhatiah Adiba
Journal of Computers, Informatics, and Vocational Education Volume 2 Issue 3, November (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

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Penelitian ini bertujuan untuk menghasilkan sistem informasi apotek Melati Borong berbasis web guna mempermudah pengelolaan data serta mengevaluasi kelayakan sistem menggunakan pengujian ISO 25010 yang mencakup delapan aspek kualitas. Penelitian ini menggunakan metode Research and Development dengan model pengembangan Agile Scrum. Data dikumpulkan melalui wawancara, angket, dan dokumentasi, kemudian dianalisis menggunakan analisis kualitatif deskriptif. Hasil penelitian menunjukkan bahwa sistem yang dibangun layak digunakan. Pada aspek suitability dan reliability, sistem memperoleh persentase kelayakan 100% dan dinyatakan “Layak”. Aspek usability memperoleh persentase 93% dengan kategori “Sangat Layak”. Aspek efficiency mencapai rata-rata 84% dengan kategori grade B yang menunjukkan kinerja baik. Pada aspek maintainability, sistem memenuhi indikator instrumentation, consistency, dan simplicity. Aspek portability menunjukkan bahwa sistem berjalan baik di berbagai browser, baik desktop maupun mobile. Aspek security mendapatkan kategori grade A, yang berarti sangat aman. Aspek compatibility menunjukkan sistem kompatibel dengan berbagai browser dan dinyatakan “Sangat Layak”. Dengan demikian, sistem informasi apotek Melati Borong memenuhi standar kualitas ISO 25010 dan dinyatakan sangat layak untuk digunakan.

Pengembangan Sistem Informasi Akademik Berbasis Website di SMP Negeri 6 Bangkala Barat Muhammad Fadhil Majid; Muhammad Yahya; Fhatiah Adiba
Information Technology Education Journal Vol. 3, No. 3, September (2024)
Publisher : Jurusan Teknik Informatika dan Komputer

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SMP Negeri 6 Bangkala Barat saat ini belum memanfaatkan sistem informasi akademik, sehingga pengolahan data akademik seperti data nilai dan absensi siswa masih dilakukan secara manual. Penelitian ini bertujuan untuk mengembangkan sistem informasi akademik berbasis web yang dapat diakses kapan saja dan di mana saja, serta meningkatkan efisiensi manajemen data akademik di SMP Negeri 6 Bangkala Barat. Metode penelitian yang digunakan dalam penelitian ini adalah Research and Development (R&D). Sistem diimplementasikan dengan beberapa teknologi yaitu framework laravel, MySQL, Javascript, dan PHP sebagai bahasa pemrogramannya. Pengujian sistem dilakukan berdasarkan standar ISO/IEC 25010, yang mencakup 8 aspek yaitu (1) aspek functional suitability memperoleh nilai 1 dengan kategori layak, (2) Aspek usability memperoleh hasil persentase sebesar 97,28%, (3) Aspek performance efficiency mendapat grade A. (4) Aspek reliability memperoleh hasil metrik sebesar 100%, (5) Aspek maintability berhasil memenuhi ketiga aspek yaitu instrumentation, consistency dan simplicity. (6) aspek portability dari seluruh pengujian tidak mengalami error. (7) Aspek compatibility mendapat hasil keseluruhan perangkat berfungsi dengan baik. (8) security berada pada level medium yang berarti aman dari serangan malware. Hasil yang diperoleh pada peneiltian ini adalah sebuah sistem informasi akademik berbasis website, dan telah dilakukan pengujian menggunakan standar pengujian perangkat lunak ISO 25010 didapatkan hasil bahwa sistem informasi akademik ini layak digunakan

Sistem Klasifikasi Tingkat Kematangan Buah Cabai Katokkon Berdasarkan Fitur Warna LAB Menggunakan Artificial Neural Network Backpropagation Andi Baso Kaswar; Fhatiah Adiba; Dyah Darma Andayani
Journal of Embedded Systems, Security and Intelligent Systems Vol 4, No 2 (2023): November 2023
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v4i2.996

Chili is one of the horticultural commodities that has a very significant economic and cultural value in Indonesia. One type of chili that is unique but widely cultivated in Indonesia is katokkon chili (Toraja chili). Seeing the great potential that katokkon chili has, the chili is finally widely cultivated. However, various problems in the cultivation process until harvest have emerged. One of them is in the process of identifying the level of maturity. The stage of identifying the maturity level of chilies is an important aspect of cultivation and post-harvest handling. This is because the maturity level significantly affects the quality, nutritional content, and market value of chili katokkon. Many studies have utilized digital image processing and machine learning in fruit ripeness detection. However, until now, the detection of the maturity level of katokkon chili fruit is still done manually, which has an impact on the potential inaccuracy of classification results due to various factors. Therefore, this research proposes a classification system for the maturity level of katokkon chili fruit based on LAB color features using artificial neural network backpropagation. The proposed method consists of six main stages, namely image acquisition, preprocessing, segmentation, morphological operations, LAB feature extraction, and backpropagation artificial neural network modeling. The proposed method can classify the maturity level of chili katokkon into three classes with 96,00% accuracy, 96,40 % precision, and 96,00% recall. These results show that the proposed method can classify the maturity level of chili katokkon accurately.

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