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Sistem Informasi Geografis Dalam Pemetaan Lahan Gambut di Kabupaten Musi Banyuasin Alek Wijaya; Eka Puji Agustini; Eko Nardo
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 1 (2018): April 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (565.732 KB) | DOI: 10.29207/resti.v2i1.298

Abstract

Conservation of nature is a central issue at this time, this is caused by the increasing number of natural damages that occur because of human ignorance to keep the nature of the world remains a friendly place for our lives. One of the important factor of nature conservation is the sustainability of peatlands which is capable of storing carbon gases that serve to withstand the rate of earth temperature rise. One of the efforts undertaken to maintain the sustainability of peatlands is the availability of the lastest and comprehensive data and information about peatland conditions that can be accessed by stakeholders that related to peatland conditions. For that reason, we need a Geographic Information System that is designed and built using the Classic Life Cycle Model approach and supported by ArcGIS software, UML Model and PHP programming language. Geographic information system provides peatland mapping information such as: location of peatlands, peatland categories, peatlands category that already managed and peatland category not yet managed.
Web-Based Assessment System for Graduate Learning Achievements in Outcome-Based Education Alek Wijaya; Wahyu Pranata; Ahmad Syazili; Siti Sauda
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 2 (2024): September 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i2.9618

Abstract

This research utilizes the Rapid Application Development (RAD) approach, with the analysis stage involving a review of relevant literature and interviews with prospective system users. The next stage is the requirement planning, which entails defining the features or services within the software accessible to prospective system users. The design phase employs use case diagrams, activity diagrams, and Entity Relationship Diagrams (ERD). Subsequently, it is translated into the Laravel framework and undergoes testing to produce a software system for assessing Graduate Learning Outcomes (CPL). This system offers facilities for academic programs to create outcome-based education (OBE) mappings and enables instructors to assess students based on the established mapping data. It also provides students with the ability to view their outcome results. CPL refer to the essential skills that students must acquire following their academic studies. These skills encompass the internalization of grades, attitudes, general knowledge, and specific skills, which students are required to fulfill throughout their academic journey. Outcome grades, as mapped, are attained by students through participation, written tests (quizzes), observations (practical exercises), performance (presentations), mid-term exams, final exams, and oral tests (group assignments). This Graduate Learning Outcomes assessment software is expected to assist program administrators and instructors in managing CPL and also enable students to access detailed records of their outcome grades.
Penerapan Metode Agile Development dalam Rancang Bangun Single Sign-On pada Sistem Informasi Akademik Sandi Agung; Alek Wijaya; Jemakmun Jemakmun; Firamon Syakti
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 5 No. 3 (2025): November : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v5i3.8362

Abstract

In today's digital era, educational institutions face challenges in managing various academic information systems that require separate authentication for users. This often causes difficulties in accessing various applications with different logins. This study aims to develop and implement Single Sign-On in the academic information system of SMP Dharma Bhakti Palembang using the Agile Development method. Agile Development was chosen because of its iterative approach that allows flexibility in system development and improvement based on user feedback. System testing was conducted using the Black Box Testing method, which focuses on testing system functionality based on input and output without considering the internal structure of the code. This testing includes user authentication validation and SSO integration with various academic applications. The results of the study indicate that the implementation of SSO can simplify the user authentication process and reduce the risk of login errors. Thus, this study provides an innovative solution that can be a reference for other educational institutions in developing more integrated academic information systems.
Implementasi Transfer Learning dengan Arsitektur Mo-bileNetV2 untuk Klasifikasi Penyakit pada Daun Padi Alek Wijaya; Andre Satriawan; M. Soekarno Putra; Muhammad Nasir
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 5 No. 3 (2025): November : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v5i3.8389

Abstract

Rice is a strategic commodity in Indonesia, yet its productivity is often threatened by leaf diseases such as Bacterial Leaf Blight, Brown Spot, Narrow Brown Spot, and Tungro. Conventional identification conducted by farmers is subjective and may delay proper treatment. This study implements transfer learning using the MobileNetV2 architecture for rice leaf disease classification. The dataset was collected directly from rice fields in OKU Timur, South Sumatra, consisting of five classes (Bacterial Leaf Blight, Brown Spot, Healthy, Narrow Brown Spot, and Tungro), each containing 300 images except Narrow Brown Spot, which was balanced through light augmentation. All images underwent cropping, resizing to 224×224 pixels, and normalization before being split into training, validation, and testing sets. The proposed model achieved 99.11% validation accuracy and 100% testing accuracy, with near-perfect precision, recall, and f1-score. The model was then deployed into a user-friendly web application using Streamlit, enabling farmers to upload rice leaf images for instant classification and recommended treatments. These findings demonstrate that MobileNetV2 with transfer learning provides accurate early detection of rice leaf diseases and supports better decision-making in rice cultivation.