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All Journal Jurnal Algoritma JAKPP : Jurnal Analisis Kebijakan & Pelayanan Publik Jurnal Eksplora Informatika Jurnal Basicedu Journal of Computer Networks, Architecture and High Performance Computing Journal of Community Development Jurnal PkM MIFTEK Jurnal Algoritma Jurnal Basicedu Journal of Digital Literacy and Volunteering
Eri Satria
Sekolah Tinggi Teknologi Garut
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Mathematics Nursing Public Health Social Sciences Other

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Journal : Jurnal Algoritma

 1 
Optimalisasi Perjalanan Dinas Badan Perencanaan Pembangunan Daerah Garut dengan Aplikasi Web Inovatif Supriatna, Asep Deddy; Satria, Eri; Handayani, Nanda
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1449

Abstract

An Official Travel Order is a document of official travel assignments for government officials. Initially, the Garut Regional Development Planning Agency made official travel orders manually with the risk of errors and taking longer in the process. This causes accessibility issues, approval delays, as well as poorly organized records and report management issues. The solution is to build an application for the department to manage official travel which aims to improve the control and management of official travel, including validation of assignment orders, management of official travel orders, employee data, finances including accommodation costs, as well as uploading proof of implementation of official travel for monitoring travel status. . Application design applies the Rational Unified Process methodology which covers the inception, elaboration, construction and transition stages. The modeling involves Unified Modeling Language modeling. The result of this research is a Web-Based Official Travel Control Application at the Garut Regional Development Planning Agency which can help in the productivity of government administration by automating processes so that it can reduce the time and effort needed to administer and manage manual administration.
QBIDAN: Aplikasi Kebidanan Berbasis Mobile Susilawati, Intan Rina; Satria, Eri; Rostilawati, Detila; Suryani, Naning; Ernawati, Ernawati; Handayani, Titi Purwitasari
Jurnal Algoritma Vol 21 No 2 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-2.1691

Abstract

Most midwife services still use manual recording, which is less effective, causing increased workload, difficulty finding information, and the risk of losing important data. This research aims to develop the QBidan application which provides various features to assist in monitoring pregnancy, provide health information, and offer useful resources and tips during the pregnancy journey. This application can also facilitate communication between pregnant women and health workers and provide guidance on nutrition, physical exercise, and preparation for childbirth. Research methods using waterfalls include communication, planning, modeling, construction, and implementation. The results of black-box testing and beta testing produced an average score of 4.8 (96%). The results of this evaluation show that the QBidan application that was built has met user needs. This research can be further developed by adding features such as a suburban calendar, consulting midwife services, and measuring technology acceptance by users.
Algoritma Regresi Linier Dalam Prediksi Jumlah Pendaftar Program Pendidikan Di Lingkungan Pesantren : Studi Kasus : Yayasan Al-Mustofa Tambakbaya Agustin, Yoga Handoko; Satria, Eri; Nasrulloh, Anas
Jurnal Algoritma Vol 22 No 1 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-1.1802

Abstract

Al-Mustofa Tambakbaya Foundation manages an Islamic boarding school as well as a Madrasah Aliyah (MA) and Madrasah Tsanawiyah (MTS). Over the past five years, the foundation has experienced fluctuations in the number of new students. This study aims to predict the number of applicants using a linear regression algorithm. The challenge of fluctuating enrollment affects resource planning and curriculum development. The data used includes the number of MA and MTS students from the 2019 to 2023 academic years. This research follows the CRISP-DM stages, starting from business understanding, data collection and preparation, to modeling using linear regression. Model evaluation is done with MAPE, MAE, RMSE, and R-squared. The results show that the model for Regional Domicile and Outside the Region has a MAPE of 8.44% and 12.76%, respectively. The model for MTS students has a MAPE of 6.26% and an R-squared of 91.27%, while the MA student model shows the lowest performance with a MAPE of 20.56% and an R-squared of 21.20%. Predictions for the 2024 academic year show significant growth, especially in regional domicile and MA students. This research offers a practical solution to address fluctuations in enrollment and educational planning at Al-Mustofa Tambakbaya Foundation, as well as highlighting the need for model improvements to increase accuracy in the future.
Prediksi Jumlah Pengunjung Pariwisata di Kabupaten Garut Menggunakan Algoritma Regresi Linear Agustin, Yoga Handoko; Satria, Eri; Siti Nursifa, Fadia
Jurnal Algoritma Vol 22 No 1 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-1.1807

Abstract

Tourism has great potential in driving economic growth through job creation, income enhancement, and positive impacts on various related sectors such as handicrafts, accommodation, and transportation. Garut Regency, located in the southern part of West Java Province, is increasingly recognized for its natural tourist destinations that remain unspoiled and attract many visitors. However, the surge in visitor numbers at these destinations has posed several challenges, including overcrowding that reduces comfort and safety, as well as a decline in service quality due to high demand. Inadequate infrastructure, such as transportation and parking facilities, is also an issue that needs to be addressed. To assist the local government in preparing for future increases in visitor numbers, this study utilizes the Linear Regression algorithm to predict the number of tourist visits to Garut Regency. This algorithm is chosen for its ability to measure the relationship between the dependent variable (number of visitors) and independent variables (factors influencing visits). Data collection is carried out by grouping the number of visitors based on tourist categories, resulting in more accurate and relevant prediction models. The research findings show that the linear regression model can generate predictions with a Mean Absolute Error (MAE) of 11,406.37, Mean Absolute Percentage Error (MAPE) of 6.449, Mean Squared Error (MSE) of 282,815,506.30, and Root Mean Squared Error (RMSE) of 16,817.12. The R-squared (R²) value of 0.9346 indicates that the model can explain approximately 93.46% of the data variance, demonstrating good predictive performance. However, the relatively high MAPE value indicates inconsistencies in the dataset, likely caused by very small or zero actual values. This prediction is expected to assist the Garut Regency Tourism Office in strategic planning and decision-making, such as infrastructure preparation, service quality improvement, and tourism promotion planning. This study also opens up opportunities for further development using other prediction algorithms to achieve more optimal results.
Rancang Bangun Media Pembelajaran Interaktif Pengenalan Obat Antibiotik Berbasis Android Fatimah, Dini Destiani Siti; Satria, Eri; Aulia, Wafa Ghaida
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.1748

Abstract

Learning antibiotic drugs at the Pharmacy Vocational School is relatively difficult because these drugs have many classes and the use of scientific terms. To overcome this, interactive learning media involving images, animations, text, and sound is needed so that the material can be learned more easily. Therefore, the Android-based antibiotic drug introduction learning media application was created to help vocational school students majoring in pharmacy in learning antibiotic materials that can be used anywhere and anytime. The methodology used in the creation of this application is the MDLC (Multimedia Development Life Cycle) methodology, while the evaluation of the application is carried out using the EUCS (End User Computing Satisfaction) method. The antibiotic introduction learning media application has material features, quizzes, instructions, about and audio pronunciation of scientific terms so that users can understand the pronunciation well. The results of the evaluation of the application obtained a user satisfaction level with an average of 98% which is included in the very satisfied category.
Co-Authors Abdulloh, Syamsan Ade Sutedi, Ade Adinugraha, Yudistira Adiwijaya, Yuda Akmal Ridwan Albantani, Wildan Syaeful Millah Ana Amalia, Ana Andriyano, Ariyo Apriadi, Ari Arie Budiansyah Asep Deddy Supriatna Asfahany, Arbi Yuan Asri Mulyani Asyah, Cha Cha Nisya Aulia, Wafa Ghaida Azwardhi, Miftah Y Bahari, Aslah Mohamad Cahya, Fathir Agung Cahyadiputra, Moch. Rizky Candra, Rudi Arif Dede Kurniadi Dewi Tresnawati Dhaifullah, Dafa Dini Destiani Siti Fatimah Dini Destiani Siti Fatimah Dzulkornen , Alvin Dannun Ernawati Ernawati Erwin Gunadhi Fadzilah, Fahmi M Faishal, Muhammad Alfi Faiz, Muhammad Ilham Faridah, Samsa Faturrahman, Muhamad Faudzan Riga S, Mochamad Hakim, Annas Nurul Hakim, Arif L Handayani, Nanda Handayani, Titi Purwitasari Hawari, Ciptaraka N Hidayatulloh, Ibnu Yasir Ibnu Hajar Ikhwan, Cakra Nur Ilham Maulana Ilham, Dirja Nur Intan Rina Susilawati Intan, Neng Wihelen Sri Jaenudin, Dindin Jamal, Encep Saeful Jamil, Rivansyah Syaiful Kamil, Zatnika Insan Kirani, Garnis Kusmayadi, Kusmayadi Latifah, Ayu Leni Fitriani, Leni Maulana, Adnan Fawwaz Melani, Nisa Miswar Papuangan Muhammad Rikza Nashrulloh Muhammad Syauqi Mubarok, Muhammad Syauqi Murrydan, Kuwatika Nasrullah, Muhammad Rikza Nasrulloh, Anas Nawawi, Irpan Nawawiyah, Alfi Irsyad Nazib Ali, Muhammad Nur'aeni, Shifa Nuralam, Farhan Subhan Nurgandini, Allisa Nurhaliza, Siti Salsa Nurhidayanti, Shopi Nuriah, Sinta Nurpadilah, Cahya Patonah, Fitri Permana, Restu Rahmah, Alya Siti Rahman, Agil Saepul Rahmat, Agil Ridwan Setiawan Rina Kurniawati Rinda Cahyana Rostilawati, Detila sandy mawardi Setiawan, Dzulkifli Putra SF, Dini Destiani Silviadi, Diki Siti Nursifa, Fadia SRI RAHAYU Suciyana, Gina Surya Gumilar, Surya Suryani, naning Taupik Rahman Yeni Pariyatin Yoga Handoko Agustin Yosep Septiana Yuniar, Yoanita Rifka Yusuf, Nazril Maulana