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All Journal Jupiter Jurnal Informatika Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research INTEGER: Journal of Information Technology JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Informasi dan Komputer Jurnal Teknologi Informasi dan Pendidikan Building of Informatics, Technology and Science JSR : Jaringan Sistem Informasi Robotik Journal of Computer System and Informatics (JoSYC) Journal of Computer Networks, Architecture and High Performance Computing Soeropati: Journal of Community Service Journal of Applied Data Sciences Journal of Technology and Informatics (JoTI) TRANSFORMASI : JURNAL PENGABDIAN PADA MASYARAKAT Jurnal Publika Pengabdian Masyarakat Jurnal Ilmu Siber dan Teknologi Digital Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) IJISCS (International Journal of Information System and Computer Science)
Triloka, Joko
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Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Social Sciences Other

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Evaluasi Kinerja Model YOLOv8 dalam Deteksi Kesegaran Buah ardiansyah, arie; Triloka, Joko; indera, indera
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 16 No 2 (2024): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.11296226

Abstract

A The classification of fruit freshness has significant implications in the food and agriculture industry in Indonesia. Fruit freshness not only affects the quality of the products sold but is also crucial in ensuring consumer safety and reducing food wastage. Non-fresh fruits can become a source of microbial contamination and can cause food poisoning if consumed. Based on these factors, various image processing technologies such as ResNet, DenseNet, MobileNetV2, NASNet, and EfficientNet, CNN, DCNN, etc., have been developed to assist the industry in real-time and efficient classification and detection of fruit freshness. Therefore, this research aims to explore another algorithm, namely YOLOv8, to evaluate the accuracy and precision performance in detecting fruit freshness. In this study, it was found that the YOLOv8 model with 100 epochs and a batch size of 8 yielded a confusion matrix result with an accuracy of 88%. At high confidence levels, the model was able to detect fruit freshness with an average precision of 97%. However, at low confidence levels, the average recall reached 87%. At a balanced confidence level (0.50), the precision and recall F1-Score reached an average of 73%. Evaluation beyond the confidence level showed a precision of 74% and a recall of 75%. These results indicate that the YOLOv8 model has not yet reached an optimal level compared to other algorithms that have an accuracy above 90%. This could possibly be due to the limited number
JURNAL SISTEM PENDUKUNG KEPUTUSAN PENILAIAN EFEKTIVITAS PEMILIHAN DOSEN TERBAIK ITBA DIAN CIPTA CENDIKIA BANDAR LAMPUNG MENGGUNAKAN METODE AHP DAN TOPSIS: This study aims to select the best lecturer using the Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The criteria used in this research include teaching experience, research quality or academic contribution, involvement in academic activities, presentation quality or abilit Pramodiyo Wilantara, Rangga; Wasilah, Wasilah; Triloka, Joko
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 16 No 2 (2024): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.12177438

Abstract

The problem faced by ITBA Dian Cipta Cendikia is related to the assessment of the learning process which is currently still being carried out through filling out questionnaires by students and interviews. The assessment calculation process is still done manually, there needs to be a system that processes data on outstanding lecturers so that from this award all lecturers are motivated to develop their abilities.This research aims to select the best lecturer using the AHP and TOPSIS methods. The criteria used in this study include teaching experience, quality of research or academic contributions, involvement in academic activities, quality of presentation or ability to deliver material, openness to students, and the relevance of the material to the course. The weights for each of the seven criteria were determined through AHP, while TOPSIS was used to determine the best lecturer based on relative preference values. The results of the study indicate that Akni Widyastuti has the highest relative preference value, namely 0.700. The calculations carried out show that the AHP and TOPSIS methods provide structured and objective results in determining the best lecturers based on various relevant criteria.   Keywords: Analytic Hierarchy Process (AHP), TOPSIS, Decision Support System.
teknika EVALUASI TATA KELOLA TEKNOLOGI NFORMASI PADA BPPRD KOTA BANDAR LAMPUNG BANDAR LAMPUNG MENGGUNAKAN FRAMEWORK COBIT 5 DAN BALANCED SCORECARD: EVALUATION OF INFORMATION TECHNOLOGY GOVERNANCE AT BPPRD BANDAR LAMPUNG CITY BANDAR LAMPUNG USES FRAMEWORK COBIT 5 AND BALANCED SCORECARD Kurniawan, Aris; Triloka, Joko
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 16 No 2 (2024): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13293299

Abstract

This study identifies issues related to gaps in the performance of Information Technology (IT) governance at BAPENDA Kota Bandar Lampung, which could hinder the achievement of organizational goals and compliance with SPBE regulations. The primary aim of this research is to assess and identify areas needing improvement in IT governance using the COBIT 5 and Balanced Scorecard frameworks. The methodology applied includes measuring maturity levels and analyzing gaps across five main IT domains: Event Management, Incident Management & Request Fulfilment, Problem Management, Service Continuity Management, and Information Security Management. The findings indicate significant gaps with an average GAP of 2.10, highlighting the need for improvements in various aspects of IT governance. This research also provides improvement recommendations based on the Balanced Scorecard, which are expected to help BAPENDA Kota Bandar Lampung enhance the effectiveness and efficiency of IT management to support the overall achievement of organizational goals.   Keywords: Cobit 5, Balanced Scorecard method, SPBE.
Pemanfaatan SIG Untuk Model Pemetaan Zona Potensial Penangkapan Ikan di Perairan Lampung Rachmadi, Rachmadi; Triloka, Joko; Yusuf Irianto, Suhendro; Sriyanto, Sriyanto
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 16 No 2 (2024): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13994437

Abstract

The waters in the Lampung region have significant potential as fishing areas. Fisheries potential in the Lampung region is supported by various factors, including a climate that supports plankton growth and a fertile ecosystem, as well as a variety of habitats that are suitable for various types of fish. In addition, traditional coastal activities such as fishing, boat fishing, and fish farming in ponds are also an important part of the local economy. However, so far fisheries management is still not optimal, it is important to manage fisheries potential optimally and sustainably. This research aims to present a geographic information system modeling regarding weather changes in the Lampung region and its surroundings in order to optimize fishing activities in Lampung waters. Data analysis uses Aqua MODIS data extraction as well as wind data gridding and description. The research results show that the waters in Lampung Province have significant potential regarding the presence of fish based on SST distribution.   Keywords— Geographic information system, weather data, lampung waters, aqua modis  
Co-Authors Abda Abda Amidayantik, Damil Andani, Mia Andika, Tahta Herdian Aras, Irsan Arie Ardiansyah, Arie Aris Kurniawan Assidik, Reksa Qodri Aziz, RZ. Abdul Badri, Rico Elhando Budi Susilo Chairani Chairani Dewi, Deshinta Arrova Effendi, Mukhammad Khoirul Eko Setiawan, Agustinus Fadila, Kurnia Fauzi, Adi Ahmad Fitriana, Jesi Goesderilidar handoyo widi nugroho Hartono Hartono Indera Indera Kurnia Muludi Kurniawan Kurniawan Kurniawan, Tri Basuki Kurniawan, Wildan Indra M Said Hasibuan Maizary, Ary Mutiara, Suci Nouvan, M. Ahadi Novita Sari Nur ‘Azah Pramodiyo Wilantara, Rangga Priyatna, Aziz R Rizal Isnanto Rachmadi, Rachmadi Rintiana, Rintiana Rio Kurniawan Saputra, Muhammad Seyhan Siti Maesaroh Sugianto, Dian Sutedi Sutedi Tarjono Wasilah Wasilah Wibaselppa, Anggawidia Y. Suhendro Yusuf Irianto, Suhendro