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All Journal PROtek : Jurnal Ilmiah Teknik Elektro Ethical Lingua: Journal of Language Teaching and Literature Abdimas Langkanae Brilliance: Research of Artificial Intelligence D'computare: Jurnal Ilmiah Teknologi Informasi dan Ilmu Komputer Journal Artificial: Informatika dan Sistem Informasi Jurnal Ilmiah Teknologi Informatika Jurnal Informasi dan Teknologi (JITU)
Fajar Novriansyah Yasir
Universitas Cokroaminoto Palopo, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Environmental Science Languange, Linguistic, Communication & Media Mathematics Other

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Design and Evaluation of Mobile Application Interface for Expert System of Drug Selection with Local Wisdom using Goal-Directed Design and Heuristic Evaluation Approach Yasir, Fajar Novriansyah; Djusmin, Vicky Bin; Ruhamah, Ruhamah
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3335

Abstract

User interfaces play an essential role in computerized systems, especially expert systems, by facilitating communication between the user and the system. In expert systems designed to replicate experts' decision-making skills, the user interface is critical for receiving information from users and enabling effective interaction with the system. Through this interface, users can enter data and then find a solution to a problem. This research aims to create an interface design for an expert system on medicines with local wisdom. This interface design is needed to create an environment in the form of a system to preserve information about medicines with local wisdom. The approach used in designing the interface is a goal-directed design approach, and a heuristic evaluation approach is used to evaluate the design results. The research results are a high-fidelity mockup with good evaluation ratings, where none of the severity ratings obtained from 25 respondents got a score of more than 1. However, there are two aspects with a score close to 1, namely aspect nine with 0,97 severity ratings score and aspect ten with 0,98. Both focus on the absence of a contact menu that users can contact if they have problems using the application they have created. However, this can be minimized by adding information to the instructions menu section, which is already in the initial design.
Rancang Bangun Media Pembelajaran Augmented Reality Pengenalan Rumah Adat Tradisional di Indonesia Berbasis Android Moris, Kevin; Yasir, Fajar Novriansyah; Suhardi, Suhardi
Jurnal Informasi dan Teknologi Vol 1 No 1 (2024): JITU: Jurnal Informasi dan Teknologi Universitas Cokroaminoto Palopo
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/jitu.v1i1.16

Abstract

Tujuan dari penelitian ini adalah untuk merancang dan membangun media pembelajaran augmented reality pengenalan rumah adat tradisional Indonesia berbasis android. Penelitian ini menggunakan jenis penelitian R&D (Research & Development) dengan model waterfall yang terdiri dari analisis kebutuhan, desain sistem, pembuatan kode program, pengujian program, penerapan dan pemeliharaan program. Penelitian dilaksanakan pada SDN 32 Lagaligo Kota Palopo, dengan proses pembelajaran yang diterapkan yaitu menggunakan buku untuk menampilkan sebuah gambar bangunan, dan gambar yang ditampilkan berupa 2 dimensi dan hanya diperlihatkan dari satu sisi. Aplikasi media pembelajaraan ini dirancang menggunakan UML (Unified Modeling Language) dan menggunakan metode pengujian Blackbox. Aplikasi media pembelajaran ini dibuat menggunakan Unity 3D 2022. Dari pengujian ahli media pembelajaran yang dilakukan oleh validator memperoleh nilai rata-rata 3,8 yang dapat dikategorikan “Sangat Layak” dan nilai rata-rata dari ahli materi yaitu 3 yang dikategorikan “Layak”. Berdasarkan hasil penelitian yang telah dilakukan, maka dapat disimpulkan bahwa media telah layak digunakan karena pengujiannya dapat direspon dan diterima oleh sistem.
Optimasi Clustering Kualitas Air Menggunakan Principle Component Analysis Sari, Risna; Arief, M.Ilham; Yasir, Fajar Novriansyah
Jurnal Informasi dan Teknologi Vol 1 No 3 (2024): JITU: Jurnal Informasi dan Teknologi Universitas Cokroaminoto Palopo
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/jitu.v1i3.88

Abstract

Air merupakan sumber utama kehidupan manusia. Jika air terkontaminasi oleh zat berbahaya, kualitas air dapat dianggap tidak layak untuk digunakan. Penelitian ini bertujuan untuk mengetahui pengelompokkan indeks kualitas air menggunakan algoritma unsupervised learning. Pengelompokkan ini dilakukan berdasarkan parameter kualitas air yaitu suhu, DO, pH, Conduktivity dan BOD yang nantinya akan dikelolah datanya menggunkan metode k-means clustering dan reduksi dimensi menggunakan analisis komponen utama (principle component analysis). Modelling k-means digabungkan dengan PCA menghasilkan nilai evaluasi matriks yaitu Shilhouette memberikan nilai 0.88. Hasil dari clustering ini diharapkan dapat menjadi referensi bagi pemangku kepentingan untuk menghasilkan kualitas air yang lebih maksimal untuk keberlangsungan hidup yang lebih baik
Digitalization of Android-Based Services Searching Using the Human-Centered Design Approach Djusmin, Vicky Bin; Yasir, Fajar Novriansyah
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 3 (2024): Protek: Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i3.7228

Abstract

Using applications is considered an effective solution in providing services to user needs. The current way to order services is to ask relatives or use social media as information channels. For this reason, an integrated service digitalization application is needed in one application to make it easier for users to find and select the services required. Service providers also have the media to promote their services so that they stand on service marketing increases. The methodology in this study is descriptive qualitative with the human-centered design (HCD) approach, which includes inspiration, ideation, and implementation. The data collection process is done by interviewing and focus group discussion. The system development model uses a prototype model. The results showed that the application's design meets the HCD criteria by making feedback from the user a significant guide in building a system regarding features, functionality, and user interface. Stages in system development have been carried out to obtain a comprehensive picture of system development. Application test results using the Blackbox type show that the applications can run according to their respective functionality.
A Mobile-Based Expert System for Glaucoma Diagnosis Using the Naive Bayes Algorithm Amelia Bahar; Fajar Novriansyah Yasir; Sukmawati Sukmawati
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.6633

Abstract

This study aims to develop a mobile-based expert system application for early diagnosis of glaucoma using the Naive Bayes algorithm. The application is designed to help users recognize early symptoms of glaucoma, provide preliminary information, and increase public awareness to reduce the risk of vision loss or blindness. The application was developed using the Dart programming language, the Flutter framework, and Firebase as the database platform. The research method employed is Research and Development (R&D), utilizing the 4D development model, which consists of four stages: Define, Design, Develop, and Dissemination. To evaluate the functionality and effectiveness of the application, both black-box testing and expert validation were conducted. The Naive Bayes algorithm implemented in the application demonstrated a high accuracy rate of 97.50%, indicating strong reliability in recognizing symptom patterns and producing appropriate diagnostic predictions based on user input. Furthermore, the System Usability Scale (SUS) was used to assess the application's usability, yielding a high average score of 97.5%, reflecting excellent ease of use and user satisfaction. In addition, content validation by subject matter experts resulted in an average feasibility score of 98.07%, indicating that the application is highly suitable for public use in supporting early screening and diagnosis of glaucoma.
Expert System for Diagnosing Phone Damage with Repair Shop Recommendations Using CF Method Willyadam Saad As’saidy; Fajar Novriansyah Yasir; Tri Bondan Kriswinarso
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.6648

Abstract

Based on observations conducted by the author through interviews at one of the repair shops in Palopo City, the owner—Zul, in 2024—stated that repair shops tend to direct mobile phone users to other shops when the type of device damage cannot be handled by their own repair shop. This reflects a lack of a centralized diagnostic system that can accurately identify damage and recommend the appropriate service provider. In response to this issue, this study aims to develop an Android-based expert system application for diagnosing mobile phone damage, equipped with a responsive and location-aware repair shop recommendation feature using the Certainty Factor (CF) method. The application was built using the 4D development model (Define, Design, Develop, Disseminate) and utilizes the results of observations, literature reviews, and interviews with local technicians to form its knowledge base and rule sets. The diagnosis process is carried out by calculating the confidence value between selected symptoms and corresponding damage types using a combined CF formula, such as CFcombine = CF1 + CF2 × (1 – CF1). This allows the system to measure the degree of certainty with which a particular diagnosis can be made. User testing involving target users showed a high level of feasibility and satisfaction, with a System Usability Scale (SUS) score of 82.5, falling into the “Acceptable” and “Good” categories. The application has proven effective in identifying various types of device damage and providing accurate, real-time repair shop recommendations based on both user location and the type of damage detected. This offers a relevant and practical digital solution for the community in Palopo City.
Implementation of Data Mining for Analyzing Consumer Purchasing Patterns at TeTa Ino Cafe Theresia Elvita Tjia; Fajar Novriansyah Yasir; Shindy Ekawati
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.6767

Abstract

TeTa Ino is a micro, small, and medium enterprise by university students focusing on the production and marketing of innovative products based on butterfly pea tea. The significant decrease in sales volume from approximately 50–80 units per promotional event to only 20–40 units indicates a potential issue in the current marketing strategy. Therefore, this study aims to identify consumer purchasing patterns that can serve as the foundation for developing more targeted marketing strategies to enhance the competitiveness of TeTa Ino. This research employs the Cross Industry Standard Process for Data Mining (CRISP-DM) approach by applying the K-Means Clustering algorithm to four months of transaction data, including variables such as number of transactions, total transaction value, and discounts offered. The analysis resulted in four distinct consumer clusters: passive consumers, loyal consumers, non-loyal consumers, and consumers with moderate purchasing frequency. Each cluster is recommended to be approached with tailored marketing strategies, such as loyalty programs, product benefit education, and bundling promotions. The clustering evaluation achieved a Silhouette Score of 0.9008 and a Calinski Harabasz Score of 7630.34, indicating good segmentation quality and clear separation among clusters. This study concludes that applying the K-Means Clustering algorithm is effective in mapping consumer purchasing behavior as a basis for data-driven marketing strategy formulation. Future research is recommended to incorporate time-related variables and explore other clustering methods to further strengthen the analysis.
Rancang Bangun Sistem Informasi Akademik Pada UPT SMK Negeri 6 Luwu Utara Berbasis Web Hutari Hutari; Fajar Novriansyah Yasir; Suhardi Suhardi
Journal Artificial: Informatika dan Sistem Informasi Vol. 2 No. 1 (2024): April 2024
Publisher : Pustaka Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54065/artificial.536

Abstract

Sistem administrasi akademik di UPT SMK Negeri 6 Luwu Utara masih dilakukan secara manual, yang berpotensi menyebabkan ketidakefisienan dalam pengelolaan data siswa, nilai, dan absensi. Untuk mengatasi permasalahan tersebut, penelitian ini bertujuan untuk menghasilkan sebuah Rancang Bangun Sistem Informasi Akademik pada UPT SMK Negeri 6 Luwu Utara Berbasis Web. Jenis Penelitian yang digunakan dalam penelitian ini yaitu jenis penelitian Research and Development (R&D) yang mengacu pada model penelitian waterfall sedangkan motode pengumpulan datanya menggunakan metode observasi, wawancara, studi pustaka. Adapun software yang digunakan adalah sublime text sebagai text editor, PHP (Hypertext Preprocessor) sebagai bahasa pemrograman, MySQL (My Structured Query Language) untuk pengolahan basis data dan XAMPP sebagai lokal servernya. Teknik pengujian yang digunakan sistem ini yaitu teknik pengujian black box. Berdasarkan pengujiaan black box yang telah dilakukan dapat diketahui bahwa Rancang Bangun Sistem Informasi Akademik pada UPT SMK Negeri 6 Luwu Utara Berbasis Web sudah layak digunakan dam semua tombol dapat berfungsi dengan baik. Hasil pengujian ahli website yang dilakukan diperoleh rata-rata penilaian dengan kategori “sangat layak” dengan berarti website akademik sekolah ini sudah layak diimplementasikan atau digunakan.
Penerapan Algoritma KNN dan Naive Bayes untuk Memprediksi Tingkat Kemiskinan di Indonesia M.Ilham Arief; Fajar Novriansyah Yasir; Muhammad Idham Rusdi
Jurnal Ilmiah Teknologi Informatika Vol 3 No 2 (2025): JITAKU: Jurnal Ilmiah Teknologi Informatika UNCP
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/jitaku.v3i2.320

Abstract

Penelitian ini bertujuan untuk membandingkan kinerja algoritma K-Nearest Neighbors (KNN) dan Naive Bayes dalam klasifikasi tingkat kemiskinan. Data yang digunakan telah melalui tahap pra-pemrosesan, meliputi pembersihan data, encoding variabel kategorikal, normalisasi, serta reduksi dimensi dengan Principal Component Analysis (PCA). Selanjutnya, data dibagi menjadi set pelatihan dan pengujian dengan rasio 80:20. Hasil pengujian menunjukkan bahwa algoritma Naive Bayes memiliki akurasi sebesar 96 persen dengan nilai recall 91,7 persen untuk kategori Miskin, yang menandakan kemampuan model ini dalam mendeteksi kelompok miskin secara konsisten lebih tinggi dibandingkan KNN. Sementara itu, algoritma KNN menghasilkan akurasi sebesar 93,3 persen dengan recall pada kategori Miskin sebesar 66,7 persen, sehingga lebih unggul dalam mengklasifikasikan kelompok mayoritas (Tidak Miskin), tetapi relatif lemah dalam mengenali kelompok minoritas (Miskin). Perbandingan ini menegaskan bahwa Naive Bayes lebih sesuai digunakan dalam konteks analisis sosial-ekonomi yang menekankan pada identifikasi kelompok miskin, sedangkan KNN lebih tepat ketika tujuan utama adalah menjaga akurasi keseluruhan dan stabilitas pada kelompok mayoritas.
RANCANG BANGUN APLIKASI AUGMENTED REALITY UNTUK PENGENALAN HEWAN DAN TUMBUHAN DENGAN VISUAL DAN AUDIO INTERAKTIF DI SLB AL-IMAM LUWU Namirah Nuhring; Fajar Novriansyah Yasir; Suhardi Suhardi
D'computare: Jurnal Ilmiah Teknologi Informasi dan Ilmu Komputer Vol 16 No 2 (2026): Edisi Juli 2026
Publisher : Universitas Cokroaminoto Palopo Fakultas Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/dcomputare.v16i2.140

Abstract

Pembelajaran pengenalan hewan dan tumbuhan di SLB Al-Imam Luwu masih menggunakan media konvensional yang kurang menarik bagi peserta didik berkebutuhan khusus. Penelitian ini bertujuan merancang dan membangun aplikasi Augmented Reality (AR) untuk pengenalan hewan dan tumbuhan dengan visual dan audio interaktif sebagai media pembelajaran yang lebih menarik dan mudah dipahami. Penelitian menggunakan metode Research and Development (R&D) dengan model ADDIE yang meliputi Analysis, Design, Development, Implementation, dan Evaluation. Aplikasi dikembangkan menggunakan Unity 3D, Vuforia, dan SketchUp, kemudian diuji melalui Black Box Testing, validasi ahli materi, validasi ahli media, dan respon pengguna. Hasil penelitian menunjukkan bahwa aplikasi berhasil dikembangkan dan seluruh fitur berfungsi sesuai rancangan. Validasi ahli materi memperoleh nilai rata-rata 4,13 (sangat valid), validasi ahli media 4,29 (sangat valid), dan respon pengguna 4,23 (kategori baik). Aplikasi AR yang dikembangkan layak digunakan sebagai media pembelajaran pengenalan hewan dan tumbuhan di SLB Al-Imam Luwu.
Co-Authors Amelia Bahar Arief, M.Ilham Darmawati Darmawati Ekawati, Shindy Hutari Hutari Kasma, Safwan M.Ilham Arief Moris, Kevin Muhammad Idham Rusdi Muhlis Mustadil, Dini Namirah Nuhring Nirsal Prasti, Dianradika Rahmawati, Upa Ruhamah Ruhamah Ruhamah, Ruhamah Rusmala Sari, Risna Suhardi Suhardi Suhardi Sukmawati Sukmawati Susilawati, Fitrah Eka Tangkelangi, Nuur Insan Theresia Elvita Tjia Tri Bondan Kriswinarso Vicky Bin Djusmin Willyadam Saad As’saidy