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All Journal dCartesian: Jurnal Matematika dan Aplikasi Jurnal Informatika dan Rekayasa Perangkat Lunak Journal of Engineering, Computer Science and Information Technology (JECSIT) Indonesian Journal of Intelligence Data Science (IJIDS) Jurnal Teknoinfo
Mahardika Inra Takaendengan
Universitas Sam Ratulangi
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Library & Information Science Mathematics

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Penerapan Metode Case-Based Reasoning (CBR) untuk Anamnesa Gejala Kelainan Kelamin pada Bayi Laki-Laki Gifari I. S. Awam; Mahardika I. Takaendengan; Chriestie E.J.C. Montolalu
d\'Cartesian: Jurnal Matematika dan Aplikasi Vol. 11 No. 2 (2022): September 2022
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/dc.11.2.2022.40263

Abstract

Parents certainly want their children to be born perfectly without any abnormalities, including the male genitalia. Some of the disorders that are often found in the male genitalia include phimosis, hypospadias, epispadias and cryptorchidism. This study aims to design a system that performs anamnesis by applying the Case Based Reasoning (CBR) method to the symptoms of genital abnormalities in male infants. The stages of the CBR method are 1) retrieve which refers to similar cases, 2) reuse namely reusing information from the case, 3) revise which is correcting the solution if needed, and 4) retain which is storing the revised results. The results showed that the application of the CBR method to anamnesis for symptoms of genital abnormalities in male infants was successfully carried out, where the anamnesis system used the CBR method in accordance with manual calculations with similarity tests and direct testing by experts. In the case example, the results of the system history and manual CBR calculations have the same probability or possibility of experiencing phimosis disorders by 100% and hypospadias disorders by 37.5%.
ANALISA KERENTANAN WEBSITE FMIPA UNSRAT BERDASARKAN OPEN WEB APPLICATION SECURITY PROJECT TOP 10 FRAMEWORK Christian Alderi Jeffta Soewoeh; Edwin Tenda; Eliasta Ketaren; Wisard Widsli Kalengkongan; Mahardika Inra Takaendengan
Journal of Engineering, Computer Science and Information Technology (JECSIT) Vol 2, No 2 (2022): Volume 2 Nomor 2, Oktober 2022
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jecsit.v2i2.251

Abstract

Salah satu langkah preventif untuk meminimalisir dampak buruk serangan siber adalah dengan melakukan penilaian kerentanan yang hasilnya dapat dianalisa sesuai framework OWASP Top 10. Menurut hasil monitoring keamanan siber BSSN tahun 2021 menunjukkan bahwa serangan siber pada sektor pendidikan tinggi semakin meningkat. Oleh karena itu, penting bagi institusi pendidikan tinggi seperti FMIPA UNSRAT untuk meningkatkan keamanan siber mereka dan memperkuat perlindungan infrastruktur informasi vital mereka. Dengan mengikuti rekomendasi yang diberikan dalam penelitian ini, diharapakan dapat membantu FMIPA UNSRAT dalam meningkatkan perlindungan  keamanan website dan mencegah serangan siber yang dapat membahayakan informasi penting mereka.
Aplikasi Sistem Pengelolaan Nilai Kedisiplinan Siswa Sman X Berbasis Web Zakki Pribadi; Ajeng Savitri Puspaningrum; Parjito Parjito; Mahardika Inra Takaendengan; Nur Fadli Utomo
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 4, No 2 (2023): Volume 4 Nomor 2 Juni 2023
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v4i2.2598

Abstract

Poin pelanggaran merupakan suatu alternatif yang dapat diberlakukan disekolah sebagai upaya menegakkan disiplin disekolah.Perhitungan terhadap nilai poin pelanggaran kedisiplinan siswa pada SMA Negeri 01 Banjar Margo masih menggunakan sistem konvensional dimana guru bimbingan konseling harus mencatat setiap pelanggaran siswa dalam sebuah buku besar dan menghitung nilai poin pelanggaran setiap siswa untuk diberikan sanksi sesuai tata tertib yang berlaku. Hal ini tentunya mengakibatkan sering terlambatnya proses penindaklanjutan terhadap siswa yang bermasalah. Penelitian ini mengembangkan aplikasi sistem pengelolaan nilai kedisiplinan siswa untuk mempermudah integrasi data, mempermudah proses pendataan pelanggaran siswa yang dapat menghasilkan suatu informasi yang cepat, tepat, dan akurat. Pengembangan sistem dilakukan dengan menggunakan metode penelitian extreme programming yang dimulai dengan tahap perencanaan yang terdiri dari perencanaan kebutuhan sistem, tahap kedua dilakukan desain sistem yang terdiri dari desain crc card, desain rancangan sistem menggunakan UML, dan juga desain tampilan sistem. Tahap ketiga dilakukan pengimplementasian kode program menggunakan bahasa pemrograman PHP sehingga menghasilkan sistem berbasis web, tahap implementasi kode program dilakukan berdasarkan perancangan yang sudah dibuat. Tahap terakhir dilakukan pengujian sistem menggunakan pengujian blackbox. Hasil pengujian blackbox didapatkan nilai persentase sebesar 100% yang memiliki arti bahwa seluruh fungsi yang ada pada sistem dapat berjalan.
Rancang Bangun Sistem Informasi Nilai Akhir Siswa Berbasis Web Menggunakan Extreme Programming Khafidlin Triatama; Ajeng Savitri Puspaningrum; Sanriomi Sintaro; Mahardika Inra Takaendengan
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 4, No 2 (2023): Volume 4 Nomor 2 Juni 2023
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v4i2.2581

Abstract

Pelaksanaan penilaian rapor pada SMPN 1 Abung Surakarta masih menggunakan aplikasi offline yaitu menggunakan aplikasi Microsoft Excel. Penelitian ini menjelaskan tentang suatu sistem pengolahan nilai akhir siswa yang dapat dilakukan secara elektronik,untuk membantu kerja para guru dalam  mengolah nilai akhir siswa dengan proses yang lebih cepat dan dapat diakses melalui Website sekolah. Penelitian ini bertujuan untuk membantu dalam membangun suatu sistem informasi nilai akhir siswa. Mempermudah dalam peroses pengolahan nilai hasil belajar siswa di SMPN 1 Abung Surakarta. Jurnal ini menggunakan metode penelitian Extreme Programing (XP) yang merupakan salah satu metodologi rekayasa perangkat lunak yang banyak digunakan untuk mengembangkan apikasi oleh para devloper. Berdasarkan hasil pengujian ISO 25010 yang telah dilakukan dengan melibatkan 10 Responden maka kualitas kelayakan perangkat lunak yang dihasilkan secara keseluruhan mempunyai nilai 89% dengan skala Baik dan dapat dinilai layak untuk diterapkan. Maka diperoleh kesimpulan rata-rata hasil perhitungan dari beberapa aspek yang telah dilakukan pengujian mendapatkan hasil 89% yang artinya sistem yang penulis implementasikan dapat disimpulkan bahwa nilai persentase yang diperoleh menunjukkan skala Baik untuk digunakan oleh SMPN 1 Abung Surakarta Lampung Utara.
Penentuan Jalur Terpendek Evakuasi Bencana Banjir di Kota Manado Menggunakan Algoritma Dijkstra Lusyane Humune; Jullia Titaley; Mahardika Inra Takaendengan
Indonesian Journal of Intelligence Data Science Vol 3 No 1 (2024): Volume 3 No 1 2024
Publisher : Faculty of Mathematics and Natural Sciences Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/ijids.v3i1.50114

Abstract

One of the common potential disasters in Manado City is floods. Manado City has a history of destructive floods that damage infrastructure and cause loss of life, resulting in significant losses. Lack of awareness among the public about evacuation locations is also due to the absence of the shortest path for flood evacuation. Therefore, a determination of the shortest path for flood evacuation is made using Dijkstra's Algorithm, which is used to search for graphs in solving the shortest distance problem using distance and time weights from 3 evacuation points and 1 shelter point. Three shortest evacuation routes are found using the Dijkstra algorithm.
Implementation of Integrated Registration System at BBI Using Zoho CRM and ISO 9001:2015 Marli Trivana Layan; Winsy Christo Deilan Weku; Stephano Caesar Wenston Ngangi; Mahardika Inra Takaendengan
Jurnal Teknoinfo Vol. 20 No. 1 (2026): Period January 2026
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/teknoinfo.v20i1.270

Abstract

This study aims to improve the registration system at Brilliant Brain Indonesia (BBI) by implementing Zoho CRM, aligned with ISO 9001:2015 Clause 8 requirements. The existing system faced challenges including time-consuming paper-based forms, frequent data entry errors due to manual input, and fragmented data management across two unintegrated systems. Using the Business Process Improvement (BPI) methodology, which includes Organizing for Improvement, Understanding the Process, and Streamlining phases, this research analyzed and optimized the registration workflow. The Wilcoxon signed-rank test was applied to evaluate the statistical significance of improvements before and after system implementation. The customized Zoho CRM platform utilized features such as webforms, workflow automation, automated validation, and real-time analytics. Results showed a significant reduction in registration processing time from an average of 20 minutes 44 seconds to 17 minutes 55 seconds per registration (14% decrease), and a dramatic reduction in data input time from 4 minutes 3 seconds to 4 seconds per record (98% decrease). These improvements enhanced operational efficiency, data accuracy, and compliance with ISO 9001:2015 Clause 8. Although further module development is needed to fully complete documentation processes, this study demonstrates that integrating cloud-based CRM systems with quality management frameworks can substantially improve educational service operations.
Web-Based Library Information System Using ReactJS: Case Study at the Faculty of Mathematics and Natural Sciences, Sam Ratulangi University   Freya Emily Theresia Tombokan; Benny Pinontoan; Mahardika Inra Takaendengan; Gifriend Yedija Talumingan
Jurnal Teknoinfo Vol. 20 No. 1 (2026): Period January 2026
Publisher : Universitas Teknokrat Indonesia

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Abstract

Digital transformation has reshaped the library landscape, transitioning from manual to digital systems. This research aims to develop a web-based library information system for the Faculty of Mathematics and Natural Sciences (FMIPA) at Sam Ratulangi University (UNSRAT) using ReactJS, NestJS, and PostgreSQL. The system is designed to address the inefficiencies of manual library management and enhance book information accessibility. The Rapid Application Development (RAD) method was applied, encompassing requirements planning, user design, construction, and cutover. Data were collected through interviews, observations, and surveys. The results demonstrate that the system facilitates online book searching and borrowing, accelerates administrative processes, and improves service efficiency. User satisfaction evaluation through surveys showed high levels of approval. This system is expected to support teaching and learning processes and enhance the quality of library services at FMIPA UNSRAT.
Classification of Green Apple Varieties using Convolutional Neural Network based on RGB Color with MobileNetV2 Alnofri Rano Masiku; Nelson Nainggolan; Siska Ayu Widiana; Mahardika Inra Takaendengan
Jurnal Teknoinfo Vol. 20 No. 1 (2026): Period January 2026
Publisher : Universitas Teknokrat Indonesia

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

Abstract

Manual classification of green apple varieties is often time-consuming, labor-intensive, and prone to human subjectivity. This research aims to develop an automated classification model for green apple types based on RGB color features using Convolutional Neural Network (CNN) with MobileNetV2 architecture. The dataset comprises 1,170 images of three green apple varieties: Golden Delicious, Granny Smith, and Manalagi. Image preprocessing steps include cropping, resizing, background removal, and RGB conversion to enhance feature extraction. The model training and evaluation utilize 5-fold Cross Validation to ensure robustness and generalization. Experimental results demonstrate that the proposed model achieves an average accuracy of 96%, precision of 96.33%, recall of 96.33%, and F1-Score of 96.33%. Furthermore, the model is implemented in a web-based application using the Flask framework to predict apple varieties from input images. Testing on new images shows classification confidence levels of 80.92% for Granny Smith, 87.38% for Manalagi, and 78.43% for Golden Delicious apples. This study confirms that CNN with MobileNetV2 and RGB color features effectively classifies green apple varieties, offering practical implications for agricultural automation and quality control.
Co-Authors Adrian Philip Marthinus, Adrian Philip Alnofri Rano Masiku Benny Pinontoan Chriestie E.J.C. Montolalu Christian Alderi Jeffta Soewoeh Dodisutarma Lapihu Eliasta Ketaren Freya Emily Theresia Tombokan Gifari I. S. Awam Gifriend Yedija Talumingan Jullia Titaley Khafidlin Triatama Lusyane Humune Marli Trivana Layan Muhammad Najib Dwi Satria Nelson Nainggolan Nur Fadli Utomo Parjito Parjito Ramadhan Paninggalih Sanriomi Sintaro Siska Ayu Widiana Stephano Caesar Wenston Ngangi Tenda, Edwin Winsy Christo Deilan Weku Wisard Widsli Kalengkongan Zakki Pribadi