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All Journal Jurnal Ilmu Komputer JAIS (Journal of Applied Intelligent System) JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknologi Sistem Informasi dan Aplikasi J-SAKTI (Jurnal Sains Komputer dan Informatika) KOMPUTIKA - Jurnal Sistem Komputer Progresif: Jurnal Ilmiah Komputer Jurnal Manajemen Informatika dan Sistem Informasi Budimas : Jurnal Pengabdian Masyarakat Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika (JUTIF) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Informatika: Jurnal Pengembangan IT Science Technology and Management Journal (STMJ) Inovasi Sosial: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Indonesia
Saraswati, Galuh Wilujeng
Universitas Dian Nuswantoro
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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Implementasi Digital Payment Gateway Midtrans Pada Sistem Agribisnis Di Temanggung (SIADIT) Ramadhan, Aditya Wahyu; Susanto, Ajib; Saraswati, Galuh Wilujeng
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.574

Abstract

The agribusiness system in Pagergunung Village has not been fully functioning properly. Based on the results of the survey that the author conducted, production was not optimal due to several factors including extreme weather changes, pest and disease attacks and low knowledge of the technology used and declining sales prices at harvest. In this era of the industrial revolution 4.0, all areas of life will involve the role of information and communication technology, one of which is in the field of agriculture. The application of technology in agriculture can be realized in the form of making a website for selling agricultural products so as to increase people's income through the creation of an agribusiness system, especially a marketing system through an e-marketplace that is connected to a paymet gateway. From the results of the blackbox test with a total of 25 respondents stated that online marketing media through the SIADIT e-marketplace application facilitates product promotion so as to increase farmers' income.
Pengembangan Aplikasi Dewan Masjid Indonesia (DMI) Berbasis Ekonomi Umat Dengan Metode Waterfall Winarsih, Nurul Anisa Sri; Fanani, Ahmad Zainul; Saraswati, Galuh Wilujeng; Rohman, Muhammad Syaifur
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.379

Abstract

The conventional economic system has been developing for a long time, followed by the Islamic economic system which is currently developing rapidly in Indonesia. Sharia economic activities are based on the rules of the Koran regarding right and wrong, good and bad, and halal and haram rules. The background of sharia business ethics is the Prophet Muhammad SAW which is based on the Al-Quran and Hadith. The sharia economy can be seen with the emergence of Islamic banks, almost all major banks in Indonesia have sharia branches. Not only that, e-money and sharia payment gateways already exist. This is based on the large number of Indonesian people who adhere to Islam and the increasing awareness of Muslims in Indonesia in implementing the Islamic economic system. Since March 2, 2020, the Corona virus or Covid-19 pandemic has entered Indonesia. Many employees become unemployed. 50% of MSMEs could go bankrupt in the next few months. Whereas small businesses make a big contribution to the absorption of jobs in Indonesia which creates income for the population. The management of the Semarang City DMI organization took the initiative to ease the burden on the people, especially in the city of Semarang by making the DMI application based on the people's economy. Waterfall is the method used in this research. Waterfall is suitable for application development with a complete needs analysis. After the PSBB period ended, there were many unemployed who tried their luck by selling small businesses and MSMEs opened slowly. It is hoped that the DMI application can introduce the business of the community around the mosque and other people can buy the business easily through the application.
Implementasi Digital Payment Gateway Midtrans Pada Sistem Agribisnis Di Temanggung (SIADIT) Ramadhan, Aditya Wahyu; Susanto, Ajib; Saraswati, Galuh Wilujeng
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.574

Abstract

The agribusiness system in Pagergunung Village has not been fully functioning properly. Based on the results of the survey that the author conducted, production was not optimal due to several factors including extreme weather changes, pest and disease attacks and low knowledge of the technology used and declining sales prices at harvest. In this era of the industrial revolution 4.0, all areas of life will involve the role of information and communication technology, one of which is in the field of agriculture. The application of technology in agriculture can be realized in the form of making a website for selling agricultural products so as to increase people's income through the creation of an agribusiness system, especially a marketing system through an e-marketplace that is connected to a paymet gateway. From the results of the blackbox test with a total of 25 respondents stated that online marketing media through the SIADIT e-marketplace application facilitates product promotion so as to increase farmers' income.
Adaptive Inertia Weight Particle Swarm Optimization for Augmentation Selection in Coral Reef Classification with Convolutional Neural Networks Prabowo, Dwi Puji; Rohman, Muhammad Syaifur; Megantara, Rama Aria; Pergiwati, Dewi; Saraswati, Galuh Wilujeng; Pramunendar, Ricardus Anggi; Shidik, Guruh Fajar; Andono, Pulung Nurtantio
JOIV : International Journal on Informatics Visualization Vol 9, No 1 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.1.2726

Abstract

Indonesia possesses the world's largest aquatic resources, with 17,504 islands and 6.49 million square kilometers of sea. Located in the coral triangle, Indonesia is home to diverse marine life, including vital coral reefs. However, these reefs face threats from climate change, pollution, and human activities, endangering biodiversity and coastal communities. Therefore, monitoring and preservation are crucial. This study evaluates various augmentation methods for classifying underwater coral reef images using Convolutional Neural Networks (CNNs). Effective augmentation methods are essential due to the unique characteristics of these images. The methodology includes testing different augmentation methods, epoch parameters, and CNN parameters on a coral reef image dataset. Five optimization algorithms (AIWPSO, GA, GWO, PSO, and FOX) are compared. The highest accuracy, 95.64%, is achieved at the 10th epoch. AIWPSO and GA show the highest average accuracies, 93.44%, and 93.50%, respectively, with no significant performance differences among the algorithms. Statistical analysis using the Wilcoxon test indicates a significant difference between training and validation accuracy (p-value = 0.0020). These findings underscore the importance of selecting augmentation methods that align with the characteristics of each optimization algorithm to enhance classification performance. The results provide valuable insights into improving the quality and diversity of input data for classification algorithms in underwater image analysis. They highlight the necessity of matching augmentation methods to specific optimization algorithms to boost accuracy and effectiveness significantly. Future research should explore additional augmentation methods and optimization algorithms further to enhance the robustness and accuracy of underwater image classification.
Penerapan Pelatihan Scratch untuk Meningkatkan Literasi Digital pada Siswa Sekolah Dasar melalui Pembelajaran Pemrograman Visual Muhammad Syaifur Rohman; Galuh Wilujeng Saraswati; Nurul Anisa Sri Winarsih; Filmada Ocky Saputra; Danny Oka Ratmana; Adhitya Nugraha
Inovasi Sosial : Jurnal Pengabdian Masyarakat Vol. 2 No. 3 (2025): Agustus : Inovasi Sosial : Jurnal Pengabdian Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/inovasisosial.v2i3.2021

Abstract

The rapid development of technology has made it increasingly important for the younger generation to acquire digital literacy skills at an early age. As technology becomes an integral part of daily life, it is essential to introduce fundamental programming concepts to students to prepare them for the future. This community service program aims to introduce 5th-grade students at Elementary School Emmaus Kediri to basic programming concepts using the Scratch platform. The program adopted the Project-Based Learning (PjBL) method, which emphasizes interactive learning through hands-on activities. The one-day session involved 17 students, who underwent a structured process consisting of a pre-test, material delivery, hands-on practice of creating simple animations, and a post-test. The learning materials included an introduction to the Scratch interface, how to use sprites, and basic coding blocks to develop simple animation projects. The evaluation results indicated a significant increase in students' understanding of basic programming concepts. The majority of participants successfully created simple animation projects using coding blocks and sprites, demonstrating their ability to apply the learned concepts. The students showed high enthusiasm throughout the learning process, indicating a strong interest in digital learning and coding. The high level of engagement further supports the potential for expanding similar programs in the future. This community service activity proved effective in introducing computational thinking and fostering creativity among elementary school students. It also demonstrated the effectiveness of interactive and hands-on learning approaches in enhancing students' digital literacy. As a result, this program has the potential to be implemented in other schools to promote early exposure to programming and support the development of digital skills among young learners
Implementasi Metode Simple Additive Weighting (SAW) Dalam Mendukung Keputusan Calon Penerima Beasiswa Pada MTS Nurul Ula Febrianti, Ervina; Lutfina, Erba; Saraswati, Galuh Wilujeng; Mahmud, Wildan
Science Technology and Management Journal Vol. 5 No. 2 (2025): Agustus 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Nasional Karangturi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53416/stmj.v5i2.350

Abstract

Scholarships are a form of educational aid to support students’ academic pursuits, especially for those with outstanding performance or financial constraints. However, the scholarship recipient selection process at MTS Nurul 'Ula is still conducted manually, which often results in inefficiency and a lack of objective assessment standards. This manual process leads to subjective evaluations, takes a considerable amount of time, and may result in inaccurate scholarship decisions. Therefore, this study aims to develop a Decision Support System (DSS) using the Simple Additive Weighting (SAW) method to improve efficiency, accuracy, and transparency in the scholarship selection process. The SAW method was chosen because it allows for clear weighting of each selection criterion, such as academic grades, attitude scores, parental income, number of dependents, and extracurricular achievements. With this system, the selection process can be carried out more objectively based on structured mathematical weighting and calculations. The system is developed using the Delphi and MySQL database, following the Waterfall development model. The results of the study show that the implementation of the SAW-based DSS can accelerate the selection process, reduce subjectivity, and ensure that scholarships are awarded to students who meet the predetermined criteria. Thus, the system is expected to be a fairer, more accurate, and more efficient solution for supporting scholarship selection decisions at MTS Nurul 'Ula. Based on the results of the SAW calculations, an accuracy rate of 85% was achieved, indicating that the system provides accurate and reliable results in determining scholarship recipients.
IMPLEMENTASI METODE ANALYTICAL HIERARCHY PROCESS (AHP) DALAM MENDUKUNG KEPUTUSAN PEMILIHAN REKOMENDASI HANDPHONE Yustiqomah, Evita Citra; Lutfina, Erba; Saraswati, Galuh Wilujeng; Mahmud, Wildan
Science Technology and Management Journal Vol. 5 No. 2 (2025): Agustus 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Nasional Karangturi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53416/stmj.v5i2.358

Abstract

In the rapidly evolving digital era, the demand for mobile phones is increasing, with a wide range of specifications and price points available. PT. Topsell Raharja Indonesia, as one of the leading mobile phone retailers, faces challenges in providing fast and accurate recommendations that align with the needs of prospective buyers. The manual phone selection process currently used by sales staff often leads to errors in decision-making, resulting in service delays and customer dissatisfaction. Therefore, this study aims to develop a Decision Support System (DSS) based on the Analytical Hierarchy Process (AHP) to assist the store in recommending optimal mobile phones based on specific criteria. The AHP method is utilized to analyze and compare several key criteria—including price, RAM capacity, camera quality, battery life, performance, and design—in order to determine priority rankings for phone selection. The results demonstrate that the proposed system improves the efficiency of recommendations, reduces selection errors, and accelerates the customer service process. The implementation of the AHP method enables objective and accurate suggestions, achieving up to 98% accuracy. By systematically calculating the weight of each criterion, the system generates optimal alternatives tailored to the preferences and needs of prospective buyers
Pelatihan Pembuatan Produk Olahan Ikan Bagi Ibu-Ibu di Desa Keboireng Tulungagung Prashanti, Eva; Handoyo, Dhiky Resandi Wur; Saraswati, Galuh Wilujeng; Adji, Dian Restu
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 8, No 3 (2025): Vol 8, No 3 (2025): SEPTEMBER 2025
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v8i3.3076

Abstract

Desa Keboireng, Kecamatan Besuki, Kabupaten Tulungagung, memiliki potensi perikanan laut besar, terutama ikan tongkol dan tenggiri. Namun, sebagian besar hasil tangkapan dijual mentah sehingga nilai jualnya rendah. Kondisi ini mendorong pelaksanaan kegiatan pengabdian masyarakat berupa pelatihan pengolahan ikan tongkol dan tenggiri bagi ibu-ibu desa. Kegiatan ini bertujuan meningkatkan keterampilan dan pengetahuan peserta dalam mengolah hasil perikanan menjadi produk kuliner inovatif, yakni sambal ikan tongkol dan stik ikan tenggiri, yang berpotensi dikembangkan sebagai peluang usaha. Metode pelaksanaan meliputi lima tahap: (1) Sosialisasi dengan perangkat desa untuk memetakan kebutuhan pelatihan; (2) Pemberian materi teori dan praktik langsung, termasuk teknik memilih bahan segar, pengolahan, dan penyajian menarik; (3) Penerapan teknologi melalui media presentasi dan evaluasi pre-test serta post-test; (4) Pendampingan untuk memastikan penguasaan teori dan praktik; dan (5) Keberlanjutan program melalui pengembangan pemasaran digital dan perizinan usaha. Hasil menunjukkan peningkatan signifikan pemahaman dan keterampilan peserta, ditunjukkan oleh perbedaan rata-rata nilai pre-test dan post-test. Kegiatan ini berdampak positif pada pemberdayaan ekonomi masyarakat dan berpotensi dikembangkan lebih lanjut.
IMPLEMENTATION OF SUPPORT VECTOR MACHINE METHOD IN CLASSIFYING SCHOOL LIBRARY BOOKS WITH COMBINATION OF TF-IDF AND WORD2VEC Cahyani, Salsabila Nida; Saraswati, Galuh Wilujeng
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 6 (2023): JUTIF Volume 4, Number 6, Desember 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.6.1536

Abstract

The development of technology in education is integral to enhancing its quality, such as implementing information technology in school libraries. Searching for books in school libraries is time-consuming due to conventional book classification, lacking organization based on classifications. Therefore, implementing information technology in school libraries is crucial to improve library management effectiveness. An innovative solution optimizing library management involves leveraging artificial intelligence, particularly machine learning. In applying machine learning to library book classification, Support Vector Machine acts as an algorithm understanding patterns and characteristics of book titles, categorizing them into Dewey Decimal Classification (DDC). The dataset comprises 10 classes aligned with DDC. Random data collection follows an 80:20 scale for training and testing data. Data preprocessing is an initial research stage, addressing imbalanced data through oversampling. Testing the SVM algorithm with a linear kernel and C = 1 parameter is conducted three times using different feature extraction methods: TF-IDF alone, Word2Vec alone, and a combination of TF-IDF and Word2Vec. Model performance evaluation employs K-Fold Cross-Validation. After the three objective tests, the most accurate book classification results were obtained using a combination of TF-IDF and Word2Vec feature extraction. It's concluded that SVM's book classification method can be applied, yielding the highest accuracy of 73% with the TF-IDF and Word2Vec feature extraction combination. This outperforms other feature extraction methods, with precision at 83%, recall at 72%, and an F1-Score of 76%.
Prediksi Kerusakan Bangunan Pasca Gempa Bumi Menggunakan Metode Deep Neural Network Fakhrurrozi, Fakhrurrozi; Ratmana, Danny Oka; Winarsih, Nurul Anisa Sri; Saraswati, Galuh Wilujeng; Rohman, Muhammad Syaifur; Saputra, Filmada Ocky; Pramunendar, Ricardus Anggi; Shidik, Guruh Fajar
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i1.37181

Abstract

Addressing the challenge of predicting earthquake-induced building damage, this study proposes the innovative use of Deep Neural Networks (DNN) as a solution. Focusing on optimizing predictive models, the research evaluates the effectiveness of various optimizers - ADAM, SGD, RMSprop, and Adagrad - coupled with adjustments in the learning rate to determine the most efficient configuration. The experiment was conducted to compare the performance of each optimizer in predicting post-earthquake building damage, a critical issue in disaster mitigation. The results demonstrate that ADAM significantly outperforms other optimizers, achieving the highest accuracy of up to 90.50% at a learning rate of 0.001, with RMSprop as its closest competitor. While SGD and Adagrad yielded lower accuracies, SGD showed improvement with higher learning rates. The variance analysis confirmed that the choice of optimizer significantly impacts model performance, with the p-value indicating strong statistical significance for optimizers (1.23E-09), whereas the learning rate had no significant impact (p-value 0.56098964). These findings underline the importance of selecting the appropriate optimizer to enhance the accuracy of DNN models for building damage prediction, a crucial aspect in emergency response planning and earthquake disaster mitigation efforts. This research contributes significantly to the development of more accurate predictive models, which are essential in minimizing the risks of earthquake disasters.
Co-Authors Achmad Naila Muna Ramadhani Adelia Rahmawati Adhitya Nugraha Aditya Wahyu Ramadhan Adji, Dian Restu Agus Winarno Ahmad Zainul Fanani Ajib Susanto Akbar Dwi Syahputra Angga Apriano Hermawan Azhara Devi Sandi Azzahra, Tarissa Aura Bagas Aditya Mahendra Cahyani, Salsabila Nida Caturkusuma, Resha Meiranadi Danny Oka Ratmana Dianna Yanuaresta Dwi Puji Prabowo, Dwi Puji Erba Lutfina Etika Kartikadarma Fafaza, Safira Alya Fakhrurrozi Fakhrurrozi, Fakhrurrozi Febrianti, Ervina Febrianto, Nanang Filmada Ocky Saputra Filmada Ocky Saputra Guruh Fajar Shidik Gustina Alfa Trisnapradika Handoyo, Dhiky Resandi Wur Harisa, Ardiawan Bagus Heru Agus Santoso Iqlima Zahari Joel Justin Adrian Lakui Johary Lutfina, Erba Malik Aziz Ali Mandasari Kusuma Dyah Tantri Mardiantara, Naya Alifiah az Azar Putri Megantara, Rama Aria Meilani Dwi Permatasari Mellati, Pita Miranti Alysha Zulia Larasati Muhamad Ni'am Syukri Roni Asmi Muhammad Syaifur Rohman Muhammad Syaifur Rohman Muljono, - Mulyanto, Edy Nur Inayati Nurun Najmi Amanina Pergiwati, Dewi Prashanti, Eva Pulung Nurtantio Andono Rahmat Trinanda Pramudya Amar Rama Tri Agung Ramadhan, Aditya Wahyu Ramadhani, Irfan Wahyu Ratmana, Danny Oka Renjiro Azhar Pramono Resha Meiranadi Caturkusuma Ricardus Anggi Pramunendar Rino Agung Rizky Syah Gumelar Rohman, Muhammad Syaifur Rohman, Muhammad Syaifur Saputra, Filmada Ocky Sri Winarsih, Nurul Anisa Wildan Mahmud Winarsih, Nurul Anisa Sri Yustiqomah, Evita Citra