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All Journal Jurnal Buana Informatika KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal Ilmiah Ekonomi Islam JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Pilar Nusa Mandiri Jurnal Sains dan Informatika Jurnal Teknik Informatika UNIKA Santo Thomas Martabe : Jurnal Pengabdian Kepada Masyarakat RISTEKDIK : Jurnal Bimbingan dan Konseling KOMPUTA : Jurnal Ilmiah Komputer dan Informatika Jurnal Riset Informatika JUSIM (Jurnal Sistem Informasi Musirawas) Journal of Electronics, Electromedical Engineering, and Medical Informatics Journal of Robotics and Control (JRC) JATI (Jurnal Mahasiswa Teknik Informatika) G-Tech : Jurnal Teknologi Terapan INVENTORY : Industrial Vocational E-Journal On Agroindustry Jurnal Abdimas Komunikasi dan Bahasa BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Journal of Accounting Information System Sabangka Abdimas Jurnal Pengabdian Masyarakat Sabangka SULUH ABDI : Jurnal Ilmiah Pengabdian Kepada Masyarakat Artikula
Ernawati, Siti
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Cybersentinel: The Cyberbullying Detection Application Based on Machine Learning and VADER Lexicon with GridSearchCV Optimization Ernawati, Siti; Frieyadie, Frieyadie; Yulia, Eka Rini
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 6 No 4 (2024): October
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v6i4.580

Abstract

Cyberbullying is becoming an increasingly troubling issue in today's digital age, with serious impacts on the well-being of individuals and society as a whole. With the number of social media users continuously rising, there is an urgent need to develop effective solutions for detecting cyberbullying. This urgency negatively affects the well-being of individuals, especially children and adolescents. The Big Data era also brings many new challenges, including the ability of organizations to manage, process, and extract value from available data to generate useful information. The aim of this research is to develop Cybersentinel, a cyberbullying detection application that combines Machine Learning and VADER Lexicon approaches to improve classification accuracy. It involves comparing several Machine Learning algorithms optimized using the GridSearchCV technique to find the best combination of parameters. The dataset used consists of social media comments labeled as bullying and non-bullying. The successfully developed model uses the Support Vector Machnine algorithm, achieving a best accuracy of 98.83%. The system is developed using Python with the Streamlit framework. This application development follows the Design Science Research (DSR) approach, which integrates principles, practices, and procedures to facilitate problem-solving and support the design and creation of applications. Testing is conducted using blackbox testing. The results show that parameter optimization using GridSearchCV can significantly enhance model performance, and applying the DSR method allows for the development of Cybersentinel tailored to specific needs. Thus, Cybersentinel provides an effective solution for detecting cyberbullying and contributes to improving the safety of social media users.
The Effect of Green Banking Disclosure on the Financial Performance of Regional-Owned Islamic Banks Ernawati, Siti; Utami, Cahyaning Budi
Jurnal Ilmiah Ekonomi Islam Vol 10, No 3 (2024): JIEI : Vol.10, No.3, 2024
Publisher : ITB AAS INDONESIA Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jiei.v10i3.15089

Abstract

This study aims to determine the impact of green banking disclosure on the financial performance of regional-owned Islamic commercial banks in Indonesia. This research employs a quantitative approach and uses secondary data sourced from the sustainability report of the banks starting from 2020 until 2023. The study focuses on four Islamic banks owned by local governments: Aceh Syariah Bank, BJB Syariah Bank, NTB Syariah Bank, and BRK Syariah Bank. The analysis technique used include descriptive analysis and panel data regression analysis. The results showed that GBDI has no significant effect on ROA and ROE. This outcome may be attributed to the fact that many banks are not prioritizing the disclosure of green banking information, especially in countries where regulations on green banking practices are weak. However, adequate disclosure of green banking can improve transparency, accountability and efficiency of banks, potentially leading to a positive impact on their financial performance. Some limitations of this study need to be considered, specifically the research only focuses on regional-owned Islamic commercial banks in Indonesia. Future research could expand the sample to include Islamic commercial banks owned by the central government as well as private Islamic banks to provide more comprehensive insights.
Redesain Kemasan Keripik Tempe Menggunakan Metode Quality Function Deployment dan Value Engineering Ernawati, Siti; Muhammad, Katon; Asyari, Hasyim
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol 5, No 2: December 2024
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/inventory.v5i2.209

Abstract

The existing Gandhes tempeh chips packaging is not air- and water-tight so it is at risk of damage such as not crispy, easily destroyed, and rancid odor. These packaging problems require packaging development in order to improve the function of the packaging. The purpose of this study is to determine packaging attributes based on consumer preferences to increase the value of Ghandes tempeh chips packaging based on the highest value. Improvement is done by integrating Quality Function Deployment and Value engineering techniques with the help of House of Quality, FAST diagram, and concept combination table. Quality Function Deployment method to identify customer needs by finding weights and technical responses, while Value engineering to analyze packaging functions needed by consumers and recommend the best packaging based on the highest value. The results are 10 attributes that become consumer needs (whats) and 12 technical responses (hows). The results showed 4 alternative packaging concepts that can be made and sorted to determine the best concept in terms of cost and performance. The selected alternative concept is Alternative C with a score of 1.78. The selected packaging specifications include 100 micron metalized paper material, information label, matte finishing, standing pouch, size 17×29 cm, weight 200 grams, ziplock packaging, price per package Rp 2,850, using a combination of red and orange colors. It can be concluded that this proposal is the best proposal in terms of the highest value. This recommendation can be considered capable of fulfilling consumer desires for Gandhes tempeh chips packaging.
Implementasi Model Waterfall Dalam Rancang Bangun E-Commerce Pada CV. Sinar Digital Sopian, Ahmad; Ernawati, Siti
JAIS - Journal of Accounting Information System Vol. 2 No. 2 (2022): Desember
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jais.v2i2.1540

Abstract

Sistem pemesanan pada CV. Sinar Digital Jakarta masih dilakukan secara konvensional dalam hal pencatatan data maupun transaksi. Hal ini menyebabkan proses pemesanan tidak berjalan secara optimal, sehingga menyebabkan beberapa masalah timbul dalam pemesanan tersebut. Masalah tersebut diantaranya proses pencatatan maupun pencarian data transaksi pemesanan memakan waktu lama dan terjadinya antrian panjang di toko serta penyimpanan data saat ini masih kurang baik. Maka dalam penelitian ini akan merancang dan membangun sebuah sistem informasi pemesanan dengan mengimplementasikan metode waterfall. Dalam metode ini melakukan beberapa tahapan dimulai dari communication, planning, modeling, construction, deployment. Sistem pemesanan yang dirancang ini merupakan sebuah solusi terbaik untuk mempermudah kegiatan toko khususnya konsumen dan pegawai dalam hal penyimpanan, pencarian, data transaksi dan laporan pemesanan yang masuk, serta dapat memberikan informasi kepada konsumen agar lebih efektif dan efisien.
HyVADSVM: Hybrid VADER-SVM and GridSearchCV Optimization for Enhancing Cyberbullying Detection Ernawati, Siti; Frieyadie, Frieyadie; Yulia, Eka Rini
Journal of Robotics and Control (JRC) Vol. 6 No. 1 (2025)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v6i1.24385

Abstract

Cyberbullying detection is becoming increasingly crucial in today’s digital era, as many individuals suffer from online harassment. The main challenge lies in accurately identifying patterns of harassment in social media texts, which often use informal languages, slang, and sarcasm. Existing methods struggle to capture emotional context owing to the vast amount of data and rapid digital interactions. This study aims to improve the detection accuracy by combining advanced sentiment analysis using VADER and parameter tuning with GridSearchCV. Data were collected from Instagram, Twitter, and YouTube, with TF-IDF employed for feature extraction. Multiple machine-learning classifiers (SVM, K-NN, NB, LR, DT, and RF) were tested to determine the best-performing model. VADER was selected for its reliability in processing social media texts rich in informal contexts, effectively capturing emotional nuances, such as sarcasm and varying sentiment intensities. This makes it well suited for complex language patterns typical of cyberbullying scenarios, enhancing data labeling and analysis accuracy. Using 10-fold cross-validation for reliable testing, performance metrics (accuracy, precision, recall, and F1-Score) were evaluated using a confusion matrix. The findings highlight SVM as the most effective model when optimized with GridSearchCV, achieving accuracy (98.83%), precision (98.78%), recall (98.83%), and F1-Score (98.62%) with kernel =linear, C=1, and gamma=scale. This optimized model, HyVADSVM model has significant potential in cyberbullying detection, contributing to academic research and serving as an effective tool to prevent online harassment. Future work could integrate this model into real-time systems, improve user safety, and support digital policymaking.
IMPROVING IMAGE CLASSIFICATION ACCURACY WITH OVERSAMPLING AND DATA AUGMENTATION USING DEEP LEARNING: A CASE STUDY ON THE SIMPSONS CHARACTERS DATASET Maulana, Ilham; Ernawati, Siti; Indra, Muhammad
Jurnal Riset Informatika Vol. 6 No. 4 (2024): September 2024
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v6i4.348

Abstract

The issue of data imbalance in image classification often hinders deep learning models from making accurate predictions, especially for minority classes. This study introduces AugOS-CNN (Augmentation and Over Sampling with CNN), a novel approach that combines oversampling and data augmentation techniques to address data imbalance. The The Simpsons Characters dataset is used in this study, featuring five main character classes: Bart, Homer, Agnes, Carl, and Apu. The number of samples in each class is balanced to 2,067 using an augmentation method based on Augmentor. The proposed model integrates oversampling and augmentation steps with a Convolutional Neural Network (CNN) architecture to improve classification accuracy. Evaluation results show that the AugOS-CNN model achieves the highest accuracy of 96%, outperforming the baseline CNN approach without data balancing techniques, which only reaches 91%. These findings demonstrate that the AugOS-CNN model effectively enhances image classification performance on datasets with imbalanced class distributions, contributing to the development of more robust deep learning methods for addressing data imbalance issues.
UPAYA MENURUNKAN PERILAKU MEMBOLOS DENGAN KONSELING INDIVIDU TEKNIK REINFORCEMENT POSITIF PADA SISWA Masturoh, Masturoh; Mutakin, Fakhruddin; Ernawati, Siti
Ristekdik : Jurnal Bimbingan dan Konseling Vol 10, No 2 (2025): RISTEDIK: JURNAL BIMBINGAN DAN KONSELING - FEBRUARI 2025
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/ristekdik.2025.v10i2.195-205

Abstract

Pendidikan memegang peran yang sangat krusial dalam membentuk generasi muda sebagai pilar masa depan suatu bangsa. Salah satu aspek kritis dalam pendidikan adalah perilaku membolos. Masalah perilaku membolos menjadi salah satu tantangan utama dalam mencapai tujuan pendidikan yang optimal. Perilaku membolos dapat mempengaruhi pencapaian akademis siswa dan mengancam kelangsungan pendidikan mereka. Penelitian ini bertujuan untuk menurunkan perilaku membolos dengan konseling individu teknik reinforcement positif pada siswa kelas VIII C SMPN 2 Silo. Perilaku membolos merupakan perilaku siswa yang tidak hadir ke sekolah atau tidak mengikuti pembelajaran tanpa alasan yang jelas atau dengan alasan yang tidak dapat dipertanggungjawabkan. Sedangkan teknik reinforcement positif merupakan strategi yang diterapkan dengan memberikan imbalan atau ganjaran secara langsung setelah perilaku yang diinginkan terjadi. Jenis penelitian ini adalah penelitian tindakan bimbingan dan konseling (PTBK) dengan responden yang diteliti sebanyak 3 siswa dari 21 siswa yang diambil secara purposive sampling. Metode yang digunakan dalam penelitian ini adalah observasi, wawancara, dan dokumentasi. Analisa data dengan menggunakan triangulasi data yang meliputi reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa setelah diberikan treatment terdapat penurunan frekuensi membolos siswa pada setiap siklusnya. Pada siklus 1 siswa mengalami penurunan dari kategori tinggi ke kategori sedang. Pada siklus 2 siswa juga mengalami penurunan dari kategori sedang ke kategori rendah. Dengan demikian diperoleh kesimpulan, berdasarkan hasil dari penelitian tersebut, pemberian konseling individu teknik reinforcement positif dapat menurunkan perilaku membolos siswa kelas VIII C SMPN 2 Silo tahun ajaran 2023/2024. 
The Effect of Green Banking Disclosure on the Financial Performance of Regional-Owned Islamic Banks Ernawati, Siti; Utami, Cahyaning Budi
Jurnal Ilmiah Ekonomi Islam Vol. 10 No. 3 (2024): JIEI : Vol.10, No.3, 2024
Publisher : ITB AAS INDONESIA Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jiei.v10i3.15089

Abstract

This study aims to determine the impact of green banking disclosure on the financial performance of regional-owned Islamic commercial banks in Indonesia. This research employs a quantitative approach and uses secondary data sourced from the sustainability report of the banks starting from 2020 until 2023. The study focuses on four Islamic banks owned by local governments: Aceh Syariah Bank, BJB Syariah Bank, NTB Syariah Bank, and BRK Syariah Bank. The analysis technique used include descriptive analysis and panel data regression analysis. The results showed that GBDI has no significant effect on ROA and ROE. This outcome may be attributed to the fact that many banks are not prioritizing the disclosure of green banking information, especially in countries where regulations on green banking practices are weak. However, adequate disclosure of green banking can improve transparency, accountability and efficiency of banks, potentially leading to a positive impact on their financial performance. Some limitations of this study need to be considered, specifically the research only focuses on regional-owned Islamic commercial banks in Indonesia. Future research could expand the sample to include Islamic commercial banks owned by the central government as well as private Islamic banks to provide more comprehensive insights.
Rancang Bangun SIstem Informasi Delivery Food Berbasis Web pada EPA Cafe & Resto Setiawan, Ronny; Ernawati, Siti
Jurnal Sains dan Informatika Vol. 9 No. 1 (2023): Jurnal Sains dan Informatika
Publisher : Teknik Informatika, Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/jsi.v9i1.498

Abstract

Perkembangan industri era 4.0 membuat teknologi saat ini semakin modern. Hal tersebut berperngaruh dalam perkembangan dunia bisnis. Khususnya pada bidang teknologi informasi dalam dunia bisnis online sangat berperan dan sangat memberikan dampak yang begitu pekat. Epa Café & Resto merupakan usaha yang bergerak di dalam bidang Kuliner. Awalnya Epa Café Resto masih menggunakan sistem yang manual, contohnya customer harus datang ke resto untuk bertransaksi. Selain itu tidak adanya promosi didunia digital yang membuatnya menjadi sulit untuk bersaing. Dari permasalah tersebut, Epa Café & Resto harus melakukan perubahan agar dapat mencapai tujuan. Solusi yang diusulkan dalam mengatasi permasalahan tersebut berupa rancang bangun website delivery order. Website ini dibuat menggunakan metode waterfall, sedangkan bahasa pemrograman yang digunakan yaitu PHP, untuk frameworknya yaitu bootstrap dan Code Igniter. Output yang dihasilkan berupa sistem informasi delivery order yang dapat diakses kapan saja dan dimana saja. Dengan hadirnya website ini, diharapkan dapat mempermudah customer untuk melakukan transaksi dimana saja dan kapan saja melalui website tanpa harus datang ke tempat. Selain itu, dengan hadirnya website ini pengolahan data akan lebih efektif, efisien, dan juga transparan sehingga dapat mempermudah jalannya proses transaksi penjualan.
Application of HIRADC and JSA for Hazard Control In The Water Treatment Plant Area PT. XYZ Asy’ari, Hasyim; Ernawati, Siti
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6535

Abstract

PT XYZ is a company that focuses on electricity generation, in the Water Treatment Plant (WTP) section there are activities that have a high risk to the safety and health of workers, especially in the Chemical Handling and Loading process where there are hazardous chemicals. The activity is a Chemical Loading process where the potential hazards identified include 60% chemical and 40% physical hazards. In Chemical Loading there are materials that are strong bases with a pH above 7. Therefore, the purpose of the research is to identify potential hazards at the Water Treatment Plant (WTP) and calculate risk levels according to severity (consequences) and frequency (likelihood). Using the HIRADC method aimed at company management and JSA aimed at operators. Data was obtained from interviews with 3 operators and company data. The results showed that in the process of operating the Water Treatment Plant there are 31 hazards (hazards) with 1 hazard categorized as high risk shows point 9, namely in the chemical handling & loading process which comes from corrosive chemicals that can cause burns. The control effort given is engineering in the form of providing hose clamps to prevent leakage.
Co-Authors Abadi, Muhammad Djaka Ahmad Sopian, Ahmad Al Hakim, Imam Taftazani Alfahran Islami, Hasby Asri Utami, Lilyani Asy’ari, Hasyim Deni Hermawan Eka Rini Yulia Fatoni, Raden Mirza Kurnia Frieyadie Hasyim Asyari Hasyim Asyari Heriyani, Novia Ilham Maulana Lestari Yusuf Lisda Widiastuti Mahmudah, Sintia Masturoh, Masturoh Miharja, Rinaldi Budi Muhamad Ryansyah MUHAMMAD INDRA Muhammad, Katon Mutakin, Fakhruddin Prabowo, Sigit Putra Pratama, Andika Agus Putut Handoko, Nurul Rahayu, Septi Risa Wati - AMIK BSI Tasikmalaya Risa Wati - AMIK BSI Tasikmalaya Satrio, Muhammad Setiawan, Ronny Setyawati, Febryana Nabilla Tuslaela Utami, Cahyaning Budi