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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Speed - Sentra Penelitian Engineering dan Edukasi Jurnal Teknologi Informasi dan Ilmu Komputer Telematika JUITA : Jurnal Informatika KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Komputasi Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Sebatik Journal of Computer Science and Informatics Engineering (J-Cosine) Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Mnemonic Journal of Data Science and Software Engineering Jurnal Informatika Polinema (JIP) Jurnal Pengabdian Masyarakat Tekno
Friska Abadi
Universitas Lambung Mangkurat
Aerospace Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Library & Information Science

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Pengembangan Aplikasi Edukasi Pengenalan Pohon Berbasis Qr Code Scanner Friska Abadi; Mohammad Reza Faisal; Radityo Adi Nugroho
Jurnal Pengabdian kepada Masyarakat TEKNO (JAM-TEKNO) Vol 4 No 2 (2023): Desember 2023
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/jamtekno.v4i2.5577

Abstract

Natural tourist areas certainly have a variety of biodiversity that can be used as a place for education. Many types of trees can be found in the area, such as Beringin, Jeruju, Jingah, Nipah, and so on. However, the collection of data about trees has not been properly recorded and there is no comprehensive information about the trees there, so that when visitors travel there it will be difficult to identify them. Therefore, in an effort to help overcome existing problems, it is necessary to develop technology with QR Codes to be able to identify trees in natural tourism parks. The stages of implementing the service are creating an application where this application is made in the form of a website-based information system and socializing the use of the tree recognition educational application. The goal to be achieved is to create a website-based application for recognizing trees, so that visitors, whether they come directly or just want to see the tree collection in the natural tourism park but are constrained by distance, time, etc., visitors can access via a web browser on smartphones, laptops, etc. and personal computers wherever they are provided there is an internet connection.
Effect of SMOTE Variants on Software Defect Prediction Classification Based on Boosting Algorithm Rahmina Ulfah Aflaha; Rudy Herteno; Mohammad Reza Faisal; Friska Abadi; Setyo Wahyu Saputro
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 10 No. 2 (2024): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v10i2.28521

Abstract

Detecting software defects early on is critical for avoiding significant financial losses. However, building accurate software defect prediction models can be challenging due to class imbalance, where the data for defective modules is much less than for standard modules. This research addresses this issue using the imbalanced dataset NASA MDP. To address this issue, researchers have proposed new methods that combine data level balancing approaches with 14 variations of the SMOTE algorithm to increase the amount of defective module data. An algorithm-level approach with three boosting algorithms, Catboost, LightGBM, and Gradient Boosting, is applied to classify modules as defective or non-defective. These methods aim to improve the accuracy of software defect prediction. The results show that this new method can produce a more accurate classification than previous studies. The DSMOTE and Gradient Boosting pair with 0.9161 has the highest average accuracy (0.9161). The DSMOTE and Catboost model achieved the highest average AUC value (0.9637). The ADASYN kernel and Catboost showed the best ability to perform the average G-mean value (0.9154). The research contribution to software defect prediction involves developing new techniques and evaluating their effectiveness in addressing class imbalance.
Pengembangan Sistem Manajemen Sarana Dan Prasarana, IT, Serta Laboratorium Di SMK Telekomunikasi Putri Nabella; Rudy Herteno; Setyo Wahyu Saputro; Friska Abadi; Muhammad Itqan Mazdadi; Nabella, Putri
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 1: Februari 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.20251218649

Abstract

Bidang Sarana dan Prasarana, IT, serta Laboratorium di SMK Telekomunikasi menghadapi tantangan dalam pengelolaan data yang tersebar di berbagai file Microsoft Excel, menyebabkan kesulitan dalam pengumpulan laporan untuk audit dan sertifikasi. Penelitian ini bertujuan mengembangkan sistem manajemen terpadu menggunakan framework CodeIgniter 4, PHP, dan MySQL dengan metode Rational Unified Process (RUP) dan desain Unified Modelling Language (UML). Sistem ini dirancang untuk menyelaraskan pengelolaan data dan memfasilitasi penyajian informasi yang efisien. Hasil pengujian black box menunjukkan tingkat keberhasilan 100%, sementara user acceptance testing memperoleh skor 92% dengan predikat sangat baik. Implementasi sistem ini diharapkan meningkatkan efisiensi dan efektivitas manajemen sarana, prasarana, IT, dan laboratorium di SMK Telekomunikasi, memberikan kontribusi signifikan terhadap peningkatan kualitas pengelolaan dan kepuasan pengguna.   Abstract. The Facilities and Infrastructure, IT, and Laboratory Department at SMK Telekomunikasi faces challenges in managing data scattered across various Microsoft Excel files, resulting in difficulties in compiling reports for audits and certifications. This research aims to develop an integrated management system using the CodeIgniter 4 framework, PHP, and MySQL, employing the Rational Unified Process (RUP) methodology and Unified Modelling Language (UML) design. This system is designed to streamline data management and facilitate efficient information presentation. The results of the black box testing showed a success rate of 100%, while the user acceptance testing scored 92% with an excellent rating. The implementation of this system is expected to enhance the efficiency and effectiveness of managing facilities, infrastructure, IT, and laboratories at SMK Telekomunikasi, significantly contributing to improved management quality and user satisfaction.
Implementation of PPCA Imputation, SMOTE-N Class Balancing in Hepatitis Classification Using Naïve Bayes Fathmah, Siti; Kartini, Dwi; Abadi, Friska; Budiman, Irwan; Mazdadi, Muhammad Itqan
JUITA: Jurnal Informatika JUITA Vol. 12 No. 2, November 2024
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v12i2.21528

Abstract

The availability of complete data in research is crucial, especially in the initial stages. The Hepatitis data used in this study encountered issues such as missing data and class imbalance, which hindered its optimal utilization. The method employed to address missing data was the PPCA imputation method. After filling in the missing data, the data was balanced using the SMOTE-N class balancing method and classified using Gaussian Naïve Bayes. The aim of this research was to compare the classification evaluation of hepatitis disease using Naive Bayes with the PPCA imputation approach and SMOTE-N class balancing. The best results from each scenario yielded an AUC value of 0.833 in the first scenario with an 80:20 data split for training and testing, and 0.875 in the second scenario with a 90:10 data split. The highest AUC value was obtained in the application of PPCA imputation with SMOTE-N class balancing using Naive Bayes classification. This demonstrates that the implementation of PPCA imputation with SMOTE-N class balancing has a better impact on the performance of Naïve Bayes classification.
Newspaper Ad Submission and Payment Website Measurement Analysis Using McCall and PIECES Muhammad Nazar Gunawan; Friska Abadi; Dodon Turianto Nugrahadi; Irwan Budiman; Setyo Wahyu Saputro
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 11 No. 2 (2025): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v11i2.30355

Abstract

The transition to digital platforms in the media industry requires robust systems to ensure efficiency and user satisfaction. As with Digital Iklan Radar Banjarmasin, the Newspaper ad submission and payment website, there is a need for evaluation to comprehensively ensure software feasibility and quality. This research evaluates the quality of the Newspaper ad submission and payment website using the McCall and PIECES frameworks, comparing their strengths and identifying areas for improvement. This research contributes to determining the most suitable evaluation methods for such types of websites while offering actionable insights for developers to improve the quality of systems and services. Data collection involved online surveys with 106 respondents and 38 Likert-scale questions mapped to McCall and PIECES frameworks. Statistical tests, including validity, reliability, and an independent t-test, were applied to compare results. McCall's evaluation rated the system at 68% (Good), with low scores in Usability (38.5%), Reliability (36.77%), and Efficiency (38.15%), indicating areas needing significant improvement. PIECES evaluation scored 80.4% (Good), with Performance (81%) and Service (82.39%) rated Very Good, though Control and Security (78.55%) required enhancement. Statistical analysis with independent t-test confirmed significant differences between the two methods, indicating that both methods measure aspects of software quality from different perspectives, thus providing complementary insights for evaluation. The study highlights the complementary nature of McCall and PIECES in software quality evaluation. Recommendations include improving usability, system stability, and security for better user experiences. Future research should involve broader demographic samples and different system types to validate findings and enhance generalizability.
A Cost-Effective Vital Sign Monitoring System Harnessing Smartwatch for Home Care Patients Dodon Turianto Nugrahadi; Rudy Herteno; Mohammad Reza Faisal; Nursyifa Azizah; Friska Abadi; Irwan Budiman; Muhammad Itqan Mazdadi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 6 (2023): December 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i6.5126

Abstract

Pap smear is a digital image generated from the recording of cervical cancer cell preparation. Images generated are susceptible to errors due to relatively small cell sizes and overlapping cell nuclei. Therefore, an accurate analysis of the Pap smear image is essential to obtain the right information. This research compares nucleus segmentation and detection using gray-level cooccurrence matrix (GLCM) features in two methods: Otsu and polynomial. The data tested consisted of 400 images sourced from RepoMedUNM, a publicly accessible repository containing 2,346 images. Both methods were compared and evaluated to obtain the most accurate characteristics. The research results showed that the average distance of the Otsu method was 6.6457, which was superior to the polynomial method with a value of 6.6215. Distance refers to the distance between the nucleus detected by the Otsu and the Polynomial method. Distance is an important measure to assess how closely the detection results align with the actual nucleus positions. It indicates that the polynomial method produces nucleus detections that are on average closer to the actual nucleus positions compared to the Otsu method. Consequently, this research can serve as a reference for future studies in developing new methods to enhance identification accuracy.
Game development of Banjar Archive for interactive cultural education ultilizing large language models Adi Mu'Ammar, Rifqi; Abadi, Friska; Budiman, Irwan; Adi Nugroho, Radityo; Turianto Nugrahadi, Dodon
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 10, No. 4, November 2025 (Article in Progress)
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v10i4.2294

Abstract

The preservation of Banjar cultural heritage is threatened by globalization andthe fading interest of younger generations. This study addressed thesechallenges by developing an interactive educational game using the GameDevelopment Life Cycle (GDLC) framework and integrating Large LanguageModels (LLMs) for adaptive and immersive player interactions. The six stagesof GDLC namely initiation, pre-production, production, testing, beta, andrelease were systematically applied, resulting in a game that blends dynamicnarratives to engage players while educating them about Banjar culture. BlackBox Testing verified 14 test scenarios that all passed successfully, ensuringsystem stability and reliability. Additionally, user experience evaluation usingthe Game Experience Questionnaire (GEQ) highlighted high levels ofimmersion (4.936), competence (4.448), flow (3.124) and positive affect(4.976) among players, with minimal reported tension (1), challenge (1.744)and negative affect (1.07). These results demonstrated that the gamesuccessfully balances educational goals with engaging gameplay, fosteringmeaningful connections to Banjar heritage. By leveraging LLM technology thegame enhances interactivity offering an innovative approach to Banjar culturalpreservation in the digital era. This research extends the existing body ofknowledge on AI-driven gamification strategies in heritage conservation with aspecific focus on Banjar culture.
Co-Authors A.A. Ketut Agung Cahyawan W AA Sudharmawan, AA Abdullayev, Vugar Achmad Zainudin Nur Adi Mu'Ammar, Rifqi Ahmad Juhdi Amalia, Raisa Andi Farmadi Andi Farmandi Arif, Nuuruddin Hamid budiman, irwan Dodon Turianto Nugrahadi Dwi Kartini Dwi Kartini, Dwi Emma Andini Faisal, Mohammad Reza Fathmah, Siti Fatma Indriani Halimah Halimah Halimah Herteno, Rudy Indriani, Fatma Irwan Budiman Irwan Budiman M Kevin Warendra Mafazy, Muhammad Meftah Mera Kartika Delimayanti Muhamad Fawwaz Akbar Muhammad Alkaff Muhammad Azmi Adhani Muhammad Denny Ersyadi Rahman Muhammad Haekal Muhammad Itqan Mazdadi Muhammad Khairin Nahwan Muhammad Mirza Hafiz Yudianto Muhammad Nazar Gunawan Muhammad Noor Muhammad Reza Faisal, Muhammad Reza Muhammad Sholih Afif Muliadi Muliadi Muliadi Aziz Muliadi Muliadi Nabella, Putri Nor Indrani Nugrahadi, Dodon Nurlatifah Amini Nursyifa Azizah Prastya, Septyan Eka Putri Nabella Radityo Adi Nugroho Rahman Hadi Rahman Rahmat Ramadhani Rahmina Ulfah Aflaha Reina Alya Rahma Rinaldi Riza Susanto Banner Rizal, Muhammad Nur Rizky, Muhammad Hevny Rudy Herteno Rudy Herteno SALLY LUTFIANI Saragih, Triando Hamonangan Sarah Monika Nooralifa Sa’diah, Halimatus Septyan Eka Prastya Setyo Wahyu Saputro Setyo Wahyu Saputro Siti Napi'ah Tri Mulyani Ulya, Azizatul Umar Ali Ahmad Vina Maulida, Vina Wahyu Dwi Styadi Yunida, Rahmi