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All Journal Jurnal Transformatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) JURNAL TEKNOLOGI DAN OPEN SOURCE INTI Nusa Mandiri Indonesian Journal for Social Responsibility JUSTIN (Jurnal Sistem dan Teknologi Informasi) Al-Ijtima: Jurnal Pengabdian Kepada Masyarakat
Fitri, Evita
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Religion Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences

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Algoritma Dijkstra untuk Pendistribusian Carica Nida Food Wonosobo Sulaiman, Hamdun; Yuliani, Yuri; Fitri, Evita; Herlinawati, Nuraeni; Watmah, Sri
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 8, No 2 (2020)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (446.87 KB) | DOI: 10.26418/justin.v8i2.38223

Abstract

Travelling Salesmen Problem (TSP) pencarian rute terdekat, waktu tercepat, minimalisir biaya distribusi, dan perjalanan yang hanya ditempuh satu kali dari setiap titik dan kembali ke titik awal. Studi kasus yang diteliti dari pendistribusian carica Nida Food yang memiliki banyak konsumen di toko-toko wonosobo. Dalam memecahkan permasalahan ini memakai algoritma dijkstra yang bekerja memakai prinsip greedy, setiap langkahnya dipilih berdasarkan nilai jarak terdekat dan kemudian menghubungkan simpul yang terpilih dengan membandingkan nilai jarak dari setiap node sehingga dapat menemukan jalur yang sangat efesien. Data yang kita dapat untuk pencarian rute pendistribusian ini dari penelitian sebelumnya yang mencari rute tependek dengan menggunakan algoritma berbeda yang menghubungkan 4 titik pendistribusian akan bergerak ke titik berikutnya dan akan berakhir di titik awal. Algoritma dijkstra ini tiidak memakan waktu yang cukup lama untuk menemukan rute terpendek untuk mendistribusikan produk carica dan hasil yang didapat sangat akurat. Informasi jalur yang akan dilalui menjadi tampilan dari hasil akhir.
Pelatihan Desain Grafis Menggunakan Adobe Illustrator Pada Panti Asuhan Adinda Cengkareng Lasmana Putra, Jordy; Fitri, Evita; Raharjo, Mugi; Endah Pangesti, Witriana
Al-Ijtimā': Jurnal Pengabdian Kepada Masyarakat Vol 4 No 1 (2023): Oktober
Publisher : Lembaga Penelitian, Publikasi Ilmiah dan Pengabdian kepada Masyarakat (LP3M)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53515/aijpkm.v4i1.91

Abstract

Panti Asuhan Adinda didirikan oleh Dra. Leila Ridwan memiliki Tujuan untuk memberikan pendidikan kepada anak yatim, yatim piatu dan anak-anak dari keluarga kurang mampu dengan membina dan mengembangkan kualitas jasmani, mental dan rohaniah mereka sesuai dengan tahapan tumbuh dan perkembangan anak, agar nantinya mereka dapat mengangkat dirinya mencapai taraf hidup yang lebih baik. Dengan tujuan tersebut sehingga memberikan wadah terhadap anak-anak binaan bebas berkreatifitas dalam berbagai bentuk kegiatan. Salah satu aplikasi yang bisa dimanfaatkan sebagai media visualisasi dalam kreativitas adalah Desain Grafis Menggunakan Adobe Illustrator. Adobe Illustrator CS6 merupakan salah satu software untuk membuat desain grafis yang memiliki banyak fungsi, seperti pembuatan animasi objek,membuat presentasi, animasi iklan, game, pendukung animasi halaman web, hingga dapat digunakan untuk pembuatan film animasi. Adapun pelatihan ini bertujuan untuk meningkatkan pengetahuan dan keterampilan Desain Grafis Menggunakan Adobe Illustrator pada peserta pelatihan. Metode pelaksanaan pada kegiatan ini terdiri dari tahap persiapan yaitu survey lokasi kegiatan untuk menggali permasalahan yang dihadapi, tahap pelaksanaan yaitu pelatihan Desain Grafis Menggunakan Adobe Illustrator secara hybrid dan tahap monitoring dan evaluasi untuk mengetahui seberapa besar peningkatan pengetahuan dan kemampuan anak-anak binaan Panti Asuhan Adinda. Hasil dari PkM ini terdapat diantaranya 52% dengan grade puas dan 12% dengan grade sangat puas terhadap pelaksanaan PkM yang telah dilakukan.
Analisis Ancaman Siber dan Persiapan Pemuda Karang Taruna Kelurahan Rengas dalam Menghadapi Risiko Keamanan Siber Putra, Jordy Lasmana; Raharjo, Mugi; Fitri, Evita
Indonesian Journal for Social Responsibility Vol. 6 No. 02 (2024): December 2024
Publisher : LPkM Universitas Bakrie

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36782/ijsr.v6i02.258

Abstract

Karang Taruna Kelurahan Rengas Ciputat Timur is a social organization for the development of young people who are able to display their character through creation, taste, passion and work in the field of social welfare. The problems faced by Karang Taruna Kelurahan Rengas Ciputat Timur are the lack of skills, security Awareness, human resources, access to training resources and the lack of special training related to Cyber security Awareness so that the youth of Karang Taruna Kelurahan Rengas Ciputat Timur experience blindness to the importance of cyber security which can have fatal consequences in the use of technology in the current era. The purpose of this community service activity is to introduce and provide training related to cyber security awareness to youth organizations in Rengas Village. As for this community service, material is given to youth groups related to cyber security awareness and tips are given in carrying out all daily activities by paying attention to this security. The method used in this community service activity is to provide material using the lecture method by carrying out several stages including preparation, implementation and evaluation of activities. The results of the implementation of this community service activity found that 76.92% stated that the participants gave a fairly good response to the implementation of this community service activity.
AUDIT SISTEM INFORMASI MANAJEMEN SEKOLAH MENGGUNAKAN FRAMEWORK COBIT 4.1 Saryoko, Andi; Fitri, Evita; Nugraha, Siti Nurhasanah; Elyana, Instianti; Aziz, Faruq
INTI Nusa Mandiri Vol. 19 No. 1 (2024): INTI Periode Agustus 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v19i1.5578

Abstract

The School Management Information System (SIMS) has brought many benefits, even though it has been implemented, SMPIT Ajimutu Global Insani Bekasi faces several challenges and problems that require special attention, including limitations in IT Strategic Planning, Less Optimal IT Risk Management, Evaluation of Automation Solutions, Security Information Systems, IT Service Performance Measurement, IT Governance have not been fully implemented in their entirety. This article discusses the application of the COBIT 4.1 framework in conducting SIMS audits at SMPIT Ajimutu Global Insani Bekasi. This research aims to assess the suitability of the information system with the school's strategic objectives, identify strengths and weaknesses in its management, and provide recommendations for improvement. The methodology used includes evaluation of the four main domains in COBIT 4.1: Planning and Organization (PO), Acquisition and Implementation (AI), Delivery and Support (DS), and Monitoring and Evaluation (ME). The audit results show that although SIMS has provided significant benefits, there are several areas that require improvement, such as IT strategic plan documentation, risk management, evaluation of automation solutions, information system security, IT service performance measurement, and IT governance. Based on these findings, recommendations for improvement are provided which include improving documentation and communication, developing formal processes for risk management, routine evaluation of automation solutions, improving security policies, establishing more comprehensive performance metrics, and strengthening IT governance.
Analisis Sentimen Terhadap Aplikasi Ruangguru Menggunakan Algoritma Naive Bayes, Random Forest Dan Support Vector Machine Fitri, Evita
Jurnal Transformatika Vol. 18 No. 1 (2020): July 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v18i1.2317

Abstract

The review of the users of one application is of great help to development in improving the quality of the application and may be the means for assessments that users feel satisfied or not. The study conducted a sentiment analysis of the Ruangguru application by testing the three classification models such as Naive Bayes, Random Forest and Support Vectors Machine. The study has yielded results that from Random Forest classification model 97,16% by using Cross Validation and an AUC score of 0.996. Then accuracy with the model of Support Vector Machine classification support results in accuracy rate of 96.01% to an AUC value of 0.543 and accuracy in the testing of Naive Bayes classification model was 94,16% of AUC score 0,999. This study shows that an increase in accuracy from previous studies of 7.16% with Random Forest s final cut as a Random Forest classification model with the best performance.
OPTIMASI KINERJA LINEAR REGRESSION, RANDOM FOREST REGRESSION DAN MULTILAYER PERCEPTRON PADA PREDIKSI HASIL PANEN Fitri, Evita; Nugraha, Siti Nurhasanah
INTI Nusa Mandiri Vol. 18 No. 2 (2024): INTI Periode Februari 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i2.5269

Abstract

Rice yield prediction is a significant challenge in the context of climate uncertainty and farmland variation. Erratic weather factors, along with land differences, make this prediction more complex. This research aims to address these issues using a machine learning approach. The method used involves three machine learning models namely Linear regression, Random Forest Regression, and ANN with MultiLayer Perceptron algorithm as well as the evaluation matrix RMSE (Root Mean Squared Error), MAE (Mean Absolute Error) and MAPE (Mean Absolute Percentage Error). This research focuses on testing the accuracy of the three models in the face of uncertain seasonal conditions and variations in agricultural land. The results showed that the MultiLayer Perceptron prediction model gave the best results with an error value of 0.094. The random forest regression method ranks second with an error value of 0.510, followed by Linear regression with an error value of 0.281. The importance of outlier testing in the model development process can be seen from the significant improvement in the performance of the MultiLayer Perceptron model. This research contributes to the development of a more reliable and dependable rice yield prediction system, especially in the midst of uncertain climatic conditions. Machine learning models, particularly MultiLayer Perceptron, can be an effective solution to increase agricultural productivity and reduce risks associated with weather changes and land variations.
TRANSFER LEARNING-BASED CLASSIFICATION OF BELL PEPPER LEAF DISEASES USING VGG16 AND EFFICIENTNETB3 ARCHITECTURES Nugraha, Siti Nurhasanah; Fitri, Evita; Ernawati, Muji
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 3 (2026): JITK Issue February 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i3.7913

Abstract

Diseases affecting pepper leaves can significantly reduce crop productivity and quality, while manual disease identification remains subjective, time-consuming, and prone to error. Therefore, an accurate automated classification system is required to support early disease detection. This study aims to evaluate and compare the performance of a conventional Convolutional Neural Network (CNN) with two transfer learning–based architectures, VGG16 and EfficientNetB3, for classifying pepper leaf images into healthy and bacterial spot classes, as well as to analyze the impact of applying a soft voting ensemble method on classification performance. The dataset was obtained from Kaggle and divided into training, validation, and test sets. Image preprocessing included resizing all images to 224×224 pixels and applying data augmentation to improve model generalization. Model performance was evaluated using accuracy, precision, recall, and F1-score metrics. The experimental results indicate that EfficientNetB3 outperforms the conventional CNN and VGG16 models. Furthermore, the application of the soft voting ensemble enhances prediction stability, achieving an accuracy of 99.68% on the test dataset with balanced precision and recall across both classes. These findings demonstrate that the integration of transfer learning and soft voting ensemble methods is an effective approach for image-based pepper leaf disease classification under the experimental conditions, and provides a basis for further validation using more diverse datasets.
Web-Based E-Rapor Application Development Using Laravel 11 at SDN Burangkeng 05 Syarifudin, Arif; Pangestu, Helmi Prayogo; Yusuf, Maulana; Fitri, Evita
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.4671

Abstract

The advancement of computer technology has significantly impacted the education sector, transitioning conventional learning methods into more digital-based approaches. However, many schools still manage academic assessments manually, which often results in inefficiencies, data inaccuracies, and limited access to academic information. The implementation of a digital academic system like e-Rapor offers a solution by enabling efficient and accurate data management, while also allowing parents to monitor student progress in real-time. This study focuses on SD Negeri Burangkeng 05 in Bekasi Regency, West Java, which still relies on manual processes using Microsoft Excel for academic reporting. The lack of a digital system has led to delays, limited data transparency, and difficulty in fulfilling administrative and accreditation needs. To address this issue, this research aims to develop an e-Rapor system suited to the school’s needs. The system is expected to improve academic data management, support administrative efficiency, and enhance the overall quality of educational services.
Co-Authors Andi Saryoko Aziz, Faruq Ernawati, Muji Hamdun Sulaiman Instianti Elyana, Instianti Jordy Lasmana Putra Maulana Yusuf Nugraha, Siti Nurhasanah Nuraeni Herlinawati Pangestu, Helmi Prayogo Raharjo, Mugi Syarifudin, Arif Watmah, Sri WITRIANA ENDAH PANGESTI Yuliani, Yuri