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All Journal Jurnal Ilmu Komputer dan Agri-Informatika Jurnal Ilmiah Kursor Prosiding SNATIKA Vol 01 (2011) Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Supply Chain Management QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika EKOLOGIA : Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup CCIT (Creative Communication and Innovative Technology) Journal Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming JISA (Jurnal Informatika dan Sains) Charity : Jurnal Pengabdian Masyarakat International Journal of Business, Economics, and Social Development International Journal of Research in Community Services Operations Research: International Conference Series International Journal of Global Operations Research International Journal of Quantitative Research and Modeling International Journal of Ethno-Sciences and Education Research J-KOMA : Jurnal Ilmu Komputer dan Aplikasi JHSS (Journal of Humanities and Social Studies)
Eneng Tita Tosida
Universitas Pakuan
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Implementation of Bidirectional Long Short Term Memory (BiLSTM) Algorithm with Embedded Emoji Sentiment Analysis of Covid 19 Anxiety Level and Socio Economic Community Jenie Marcelina; Eneng Tita Tosida; Adriana Sari Aryani
International Journal of Quantitative Research and Modeling Vol. 5 No. 2 (2024): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v5i2.682

Abstract

The COVID-19 pandemic has presented multidimensional challenges in Indonesia, significantly affecting social, economic, and public health at the level of anxiety. Public anxiety related to the pandemic can be reflected in online media, especially Twitter, which is the main channel for information sharing and emotional expression. This study aims to understand the level of public anxiety in relation to the aftermath of the COVID-19 pandemic by using a classification method. Classification is carried out using the Knowledge Discovery in Database method with the Bidirectional LSTM algorithm and emoji embedding sentiment analysis, and K-Fold Cross Validation testing is also carried out with various optimizers. The final result of the best accuracy rate obtained was 98.08%. This shows that the classification model created is good.
Modeling Queue Length at The Toll Gate Using Promodel Before and After Ramp-Off Construction Muhamad Hafizi; Syauqi Abyan Hafiz; Bambang Sugiharto; Eneng Tita Tosida; Abdul Thalib Bin Bon; Victor Ilyas Sugara; Kotim Subandi; Yasir Salih
International Journal of Quantitative Research and Modeling Vol. 6 No. 1 (2025): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v6i1.905

Abstract

In everyday life, queues often occur. Waiting at the counter to get train or movie tickets, at the toll gate, at the bank, at the supermarket, and in other situations that we often encounter Queues occur when the need for services exceeds the capacity or capacity of the service facility. As a result, users of the facility cannot get immediate service due to the busyness of the service. The Amplas Toll Gate queue is the object of this research. The Amplas Toll Gate is one of the densest toll gates that is heavily traveled by vehicles both entering and exiting. This makes it often seen a fairly long queue, especially during peak hours in the late afternoon to evening. The Medan City Government built an off ramp at the Amplas flyover in 2016. This off ramp leads directly to the Amplas toll gate. The vehicle arrival rate increases along with the queue length because vehicles can arrive faster to the toll gate. This study aims to calculate the queue length at the Amplas toll gate before and after the construction of the ramp off. Data is obtained by recording the volume of vehicles at the research location. With an average service time of 7 seconds, the queuing method produces a queue length of 11.98 meters, while the results using Pro Model software are 11.98 meters. In addition, the queue length after the construction of the ramp off decreased to 6.67 meters from before the construction of the ramp off. Promodel is a windows-based simulation software used to simulate and analyze a system.
Inventory Replacement Decision Support System Using Clustering and Analytical Hierarchy Process (AHP) Methods Rusli Nurjaman; Eneng Tita Tosida; Boldson Herdianto Situmorang
International Journal of Quantitative Research and Modeling Vol. 6 No. 4 (2025): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v6i4.1180

Abstract

The Center for Human Resources Development of Transportation Apparatus (PPSDMAP) still faces obstacles in manual inventory management, resulting in a long time required to determine which items are suitable or need to be replaced. This study aims to develop a web-based Decision Support System (DSS) to assist the inventory replacement decision-making process effectively and efficiently. The K-Means Clustering method was used to group inventory data based on age, condition, and value (price) attributes using 230 inventory data from January 1–November 30, 2023. The test results produced a Davies-Bouldin Index (DBI) value of 0.435 with six optimal clusters. Furthermore, the Analytical Hierarchy Process (AHP) method was used to determine the priority of handling strategies for less suitable or unsuitable inventory groups, with a Consistency Ratio (CR) below 10%, indicating a good level of consistency. The results of the study indicate that the developed system can assist PPSDMAP in grouping inventory objectively and support inventory replacement decision-making in a systematic, efficient, and measurable manner.
Lung Disease Diagnosis Based on MRI Data Using CNN Transfer Learning Method with MobileNetV2 and DenseNet121 Dinar Munggaran Akhmad; Dimas Ramadhan; Eneng Tita Tosida
J-KOMA : Jurnal Ilmu Komputer dan Aplikasi Vol 9 No 01 (2026): J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JKOMA.091.03

Abstract

Accurate lung disease diagnosis plays a critical role in medical treatment and improving patient outcomes. Conventional diagnostic methods often require experienced radiologists and are time-consuming. This study develops a lung disease diagnosis system based on Magnetic Resonance Imaging (MRI) data using the Convolutional Neural Network (CNN) method with Transfer Learning, specifically utilizing MobileNetV2 and DenseNet121 architectures. The dataset comprises 7,141 MRI images collected from Kaggle and RS Islam Aysha Bogor, classified into nine categories: Bacterial Pneumonia, Covid-19, Normal, Tuberculosis, Pneumothorax, Viral Infection, Asthma, Bronchitis, and Bronchopneumonia. Images were preprocessed to 224×224 pixels with pixel normalization to [0,1]. Four experimental scenarios were evaluated, varying optimizer, learning rate, batch size, and number of epochs. Results showed that MobileNetV2 achieved the best accuracy of 92.14%using RMSprop optimizer, learning rate 0.001, batch size 32, and 40 epochs. DenseNet121 achieved 87.82% accuracy with Adam optimizer under the same configuration. Validation using the confusion matrix yielded an overall accuracy of 91%, precision of 91.37%, recall of 92.25%, and F1-score of 91.79%. The best model was deployed as a web-based application built with Python Flask, enabling automatic image normalization and real-time classification without manual preprocessing. This research demonstrates that CNN-based Transfer Learning is effective for automated lung disease diagnosis with limited datasets
Empowering The Kemang Bogor Batik Association Through A Batik Waste Processing Installation, Cooperatives, And Digital Marketing Sutanto; Eneng Tita Tosida; Fredi Andria
International Journal of Research in Community Services Vol. 7 No. 1 (2026): International Journal of Research in Community Service (IJRCS)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v7i1.1188

Abstract

The Kemang Batik Association in Bogor Regency is a community-based creative industry with significant cultural and economic potential, however, its sustainability is constrained by untreated batik wastewater, weak financial management, and limited marketing capacity. Batik production activities generate colored liquid waste that is often discharged directly into the environment, posing pollution risks. In addition, the absence of formal cooperative institutions and reliance on conventional marketing methods hinder business growth and income stability among artisans. This community service program aimed to empower the Kemang Batik Association through an integrated approach encompassing environmentally friendly technology, institutional strengthening, and digital marketing. A portable electrocoagulation-based wastewater treatment installation (IPAL) namely Hydrobex, with a capacity of 100 liters per day was implemented to reduce pollutant loads in batik effluent. Furthermore, a Batik Cooperative was established to improve financial governance, collective management, and access to capital. Digital marketing platforms utilizing social media, online marketplaces and batik game based marketing (GARLaTik) were developed to expand market reach and enhance product visibility. The program was conducted through participatory training, technology transfer, mentoring, and continuous evaluation involving academics, students, and community members. The results indicate improved environmental awareness, strengthened organizational capacity, and increased adoption of digital marketing practices. This integrated empowerment model supports sustainable community development, promotes a green economy, and contributes to the achievement of relevant Sustainable Development Goals.
Co-Authors Abdul Thalib Bin Bon Abimanyu Okysaputra Achmad Noerkhaerin Putra Achmad, Dinar Munggaran Adriana Sari Aryani Agung Djati Walujo Agus Sunarya Alif, Ilham Radan Amelia Rahmi Amelia Rahmi Amelia Rahmi Ananda, Fifi Rizky Andria, ferdi Anisa Intan Selatan Anisa Intan Selatan Aprido, Eka Aries Maesya Arifah Budiarti Ayasda Rahardian Bambang Sugiharto Bambang Sugiharto Baskoro, Arif Dwi Bhayangkari, Andhika Boldson Herdianto Situmorang Bon, Abdul Thalib Bin Caroko Hutomo Iriantoro Putra Deden Ardiansyah Dian Kartika Utami Diki Andika Saputra Dimas Ramadhan Dinar Munggaran Achmad Dinar Munggaran Akhmad Dolly Priatna Elly Sukmanasa Ema Kurnia Fajar Delli W Fajar Delli Wihartiko Falleryan, Muhammad Fauzan Azmi Alfiansyah Febrian, Muhamad Zidane ferdi Andria Feriadi Feriadi, Feriadi Firdaus, Muhamad Haikal Fredi Andria Gunawan, Azzahra Ditri Hafiz, Syauqi Abyan Hafizi, Muhamad Hairulnizam Mahdin Halimah Tus Sa’diah Hario Bayu Hoerudin, Andi Irfan Wahyudin Irman Hermadi Jenie Marcelina Juanito, Axel Kamel Mahdi Karyaningsih, Dentik Kotim Subandi Kudang Boro Seminar Layung Paramesti Martha Lita Karlitasari Lola Jaman Sentosa M Iqbal Suriyansyah Martika, Karina Maudy Khairunnisa Maisun Taqiyyah Muhamad Hafizi Muhamad Sunarzi Muhamad Sunarzi Muhammad Fahmi Mislahudin Muhammad Ridwan Novi Fajar Utami Nurcahya, Dimas Nurjaman, Rusli P.S, Axel Juanito Permana, Rizki Prihastuti Harsani Puri Indrawati Rezaghani Rizki Nurfajri Roni Jayawinangun Runanto Runanto Rusli Nurjaman Saka, Bima Ariya Salih, Yasir Salmah Salmah Salmah Salmah Salmah Salmah Saputra, Abimanyu Oki Sauri, Ahmad Sopyan Selo Aji Siti Warnasih Situmorang, Boldson Herdianto Soleha Nuramanah Soleha Nuramanah Sri Setyaningsih Subandi, Kotim Sufiatul Maryana Sugara, Victor Ilyas Suriansyah, Mohamad Iqbal Suriyansyah, Mohamad Iqbal Suriyansyah, Mohamad Iqbal Sutanto Syauqi Abyan Hafiz Tomi Herdiawan, Tomi Turrohman, Syaifa Utep Utep Victor Ilyas Sugara Walujo, Agung Djati Walujo, Agung Djati Werdaya, Rangga Kusumah Putra Marsha Yani Nurhadryani Yanti, Yusma Yasir Salih Yazir, M Sofwan Yuli Wahyuni Yuli Wahyuni Yusilawati, Alfadita Dwi