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All Journal Indonesian Journal of Geography Jurnal Teknik Sipil dan Perencanaan Jurnal Edukasi dan Penelitian Informatika (JEPIN) Sistemasi: Jurnal Sistem Informasi Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Indonesian Journal on Software Engineering (IJSE) Perspektif : Jurnal Ekonomi dan Manajemen Universitas Bina Sarana Informatika Jurnal Teknik Komputer AMIK BSI Paradigma Jurnal Komputasi JITK (Jurnal Ilmu Pengetahuan dan Komputer) Techno Nusa Mandiri : Journal of Computing and Information Technology Jurnal Pengabdian Masyarakat AbdiMas Jurnal Manajemen Informatika ELITE Journal: Journal of English Linguistics, Literature, and Education Jurnal Manajemen Informatika dan Sistem Informasi Medika Kartika : Jurnal Kedokteran dan Kesehatan JATI (Jurnal Mahasiswa Teknik Informatika) JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Infortech Jurnal Graha Pengabdian Jurnal Pengabdian kepada Masyarakat Nusantara Infotech: Jurnal Informatika & Teknologi Reputasi: Jurnal Rekayasa Perangkat Lunak Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen JUSTIN (Jurnal Sistem dan Teknologi Informasi) Ceddi Journal of Information System and Technology (JST) Jurnal Penelitian dan Pengabdian Masyarakat Jotika Jurnal Abdimas Maduma Journal of Entrepreneurship and Community Innovations Seshiski: Southeast Journal of Language and Literary Studies Secure And Knowledge-Intelligent Research in Cybersecurity And Multimedia (SAKIRA) Intechno Journal : Information Technology Journal SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Indonesian Community Service Journal of Computer Science
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PEMODELAN VARIABILITAS MUSIMAN DALAM CURAH HUJAN : PENDEKATAN DERET WAKTU Mustopa, Ali; Santoso, Joko Dwi; Nauvaldhi , Muhammad Sachib Farhan; Wulandari, Devi
Journal of Information System Management (JOISM) Vol. 6 No. 2 (2025): Januari
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/joism.2025v6i2.1936

Abstract

Presipitasi merupakan komponen fundamental dalam siklus hidrologi Bumi yang memiliki dampak signifikan terhadap ekosistem, produktivitas pertanian, dan pengelolaan sumber daya air. Variabilitas presipitasi, terutama pola musiman, sangat penting untuk dipahami dalam konteks perencanaan yang efektif dan strategi adaptasi terhadap perubahan iklim yang semakin nyata. Penelitian ini bertujuan untuk mengeksplorasi variabilitas musiman curah hujan di Bangladesh melalui analisis deret waktu yang komprehensif, dengan memanfaatkan teknik statistik canggih, termasuk model Autoregressive Integrated Moving Average (ARIMA), Seasonal Autoregressive Integrated Moving Average (SARIMA), dan Exponential Smoothing State Space (ETS). Data yang digunakan dalam penelitian ini mencakup catatan curah hujan dan suhu rata-rata bulanan dari tahun 1901 hingga 2023, yang diambil dari Humanitarian Data Exchange (HDX). Analisis dilakukan untuk mengidentifikasi pola dan tren musiman yang ada dalam data tersebut. Hasil analisis menunjukkan bahwa model SARIMA (2, 0, 1) × (0, 1, 1, 12) memberikan kinerja terbaik dibandingkan dengan model lainnya, dengan nilai Root Mean Squared Error (RMSE) dan Mean Absolute Percentage Error (MAPE) yang rendah, yang menunjukkan akurasi prediksi yang tinggi. Sementara itu, model ETS juga menunjukkan hasil yang baik dalam hal akurasi, tetapi dengan nilai MAPE yang lebih tinggi, yang mengindikasikan bahwa meskipun model ini mampu menangkap pola musiman, proporsi kesalahan relatif terhadap data aktual lebih besar. Penelitian ini menekankan pentingnya mempertimbangkan komponen musiman dalam pemodelan deret waktu, karena fluktuasi musiman yang terjadi secara periodik dapat ditangkap dengan lebih baik, sehingga menghasilkan prediksi yang lebih konsisten dan akurat. Dengan demikian, hasil penelitian ini memberikan wawasan berharga untuk perencanaan dan strategi adaptasi di masa depan, terutama dalam konteks perubahan iklim yang dapat mempengaruhi pola curah hujan.
Hibah Dan Pelatihan Penggunaan SIDETOM Kepada Gapoktan Pada Desa Rasau Jaya Satu Mustopa, Ali; Sasongko, Agung; Khultsum, Umi; Sabaruddin, Raja
Journal of Entrepreneurship and Community Innovations Vol 3 No 2 (2025): FEBRUARI 2025
Publisher : Lembaga Penelitian Universitas YARSI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33476/jeci.v3i2.263

Abstract

Permasalahan utama yang dihadapi oleh Gabungan Kelompok Tani (Gapoktan) di Desa Rasau Jaya Satu adalah penurunan produktivitas tomat akibat keterbatasan deteksi dini hama, penyakit, dan kekurangan nutrisi. Hal ini menyebabkan keterlambatan penanganan, menurunkan hasil panen, dan mengancam keberlanjutan pertanian. Selain itu, banyak petani yang belum akrab dengan teknologi pertanian modern untuk deteksi dan perawatan yang lebih cepat dan tepat. Sebagai solusi, program ini memberikan hibah dan pelatihan penggunaan Sistem Deteksi Tanaman Tomat (SIDETOM). SIDETOM adalah sistem berbasis AI yang memantau kesehatan tanaman secara real-time, menggunakan sensor untuk kelembapan tanah, intensitas cahaya, dan suhu, serta perangkat lunak yang mendeteksi gejala penyakit atau defisiensi nutrisi. Petani menerima notifikasi melalui aplikasi ponsel untuk intervensi yang tepat waktu. Pelatihan mencakup penggunaan perangkat, indikator kesehatan tanaman, dan strategi perawatan. Program ini bertujuan meningkatkan kemandirian petani dalam menggunakan teknologi, meningkatkan manajemen pertanian, dan mendorong praktik pertanian berkelanjutan.
Penerapan Model EfficientNetV2L Dalam Mendeteksi Citra Penyakit Daun Tomat untuk Meningkatkan Hasil Panen Petani Mustopa, Ali; Khultsum, Umi; Sabaruddin, Raja; Ikhsanda, Reza; Firmansyah, Herman
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5886

Abstract

In the era of modern agriculture, farmers face increasingly complex challenges related to controlling tomato plant diseases. Lack of knowledge and in-depth understanding of the types of diseases that may occur in tomato leaves can result in errors in identifying plant health problems, which can ultimately disrupt productivity and sustainability of crop yields. There is a major urgency that drives this research is the need for a better understanding of the diseases that affect tomato plants. In addition, the need to develop accurate models to detect diseases quickly and efficiently and the importance of implementing solutions that are practical and easily accessible to farmers. This study aims to provide farmers with useful tools to recognize and treat tomato leaf diseases more effectively so that they can increase yields and significantly increase their income. The model developed is expected to be able to identify and classify various types of tomato leaf diseases with high accuracy. This study utilizes a deep learning method using a Convolutional Neural Network (CNN) based on the EfficientNetV2L architecture in the tomato leaf disease classification process. This study produces an accuracy of 97.22% in the classification process using the EfficientNetV2L architecture and the implementation of a model that can be easily adopted by farmers. The developed model is integrated into a web-based system that can be accessed by farmers widely.
Development of Cash and Operational Expenditure Reconciliation Information System for Official Financial Management with Agile Methods Maulana, Muhammad Sony; Ali Mustopa; Agung Sasongko; Ravi Manisha; Steven
Ceddi Journal of Information System and Technology (JST) Vol. 4 No. 1 (2025): April
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v4i1.123

Abstract

Government agencies often encounter challenges in enhancing the efficiency and accuracy of financial report management, particularly in the cash reconciliation process. This study, conducted at the Regional Financial and Asset Management Agency (BPKAD) of Mempawah Regency, addresses the inefficiencies of traditional reconciliation methods that require face-to-face interactions and up to two working days to complete. The research aims to develop the Official Cash and Operational Expenditure Information System (SIKASBON) using the Agile methodology, enabling a more responsive, flexible, and user-oriented financial data synchronization process. The system was developed through a structured approach involving requirement analysis, design, development, testing, deployment, and review. System evaluation using the System Usability Scale (SUS) yielded an impressive average score of 85.2, categorized as A+ (Best Imaginable). The findings demonstrate that SIKASBON significantly improves transparency and efficiency in managing cash and operational expenditures. Most notably, the time required for reconciliation was reduced from two working days to just 10 minutes. This research contributes to the digital transformation of public financial management by offering a scalable solution that aligns with user needs and promotes accountability in government operations.
NILAI EDUKASI TERHADAP ANAK DALAM DONGENG DADONG PERKASA KARYA KABUL ASTUTI PADA SITUS WEB LET’S READ ASIA (KAJIAN SASTRA ANAK) Sari, Monika; Burhan, Faika; Mustopa, Ali
Seshiski: Southeast Journal of Language and Literary Studies Vol 5 No 1 (2025): Volume 5 Issue 1 June 2025
Publisher : Himpunan Sarjana Kesusastraan Indonesia, Komisariat Sulawesi Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53922/seshiski.v5i1.85

Abstract

The study entitled "Educational Values ​​for Children Through Fairy Tale Pesan Dalam Amplop by Yulina Tales on the Let's Read Asia Website (Children's Literature Study)" aims to describe how educational values ​​​​for children are conveyed through fairy tales on the Let's Read Asia website. This type of research is literature. The method used in this study is descriptive qualitative using a structural approach. The data in this study are all quotes in the form of words, sentences, and paragraphs found in the collection of fairy tale books on the Let's Read Asia website, which are considered to have educational values ​​​​of goodness for children and were published in 2024. The theory used is the theory put forward by Burhan Nurgiyantoro. The data sources in this study are fairy tales on the Let's Read Asia website published in 2024. The results of this study indicate that on the Let's Read Asia website there are several fairy tales that can provide educational value for children. Fairy Tale provides personal educational value in the form of emotional development values, imagination, development values, imagination development values, ethical and religious growth values.
Comparison Of Efficientnet And Yolov8 Algorithms In Motor Vehicle Classification Ferian Fauzi Abdulloh; Favian Afrheza Fattah; Devi Wulandari; Ali Mustopa
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 2 No. 3 (2025): July
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.16561038

Abstract

The YOLOv8 accuracy curve highlights clear overfitting. As shown in the graph, the model reaches 100% training accuracy from the first epoch and remains flat, indicating it memorized the training data. However, validation accuracy lags behind, fluctuating between 90% and 92% without significant improvement. This discrepancy between training and validation performance suggests that YOLOv8 struggles to generalize to unseen data. The issue likely stems from its architecture, which is optimized for object detection tasks that prioritize object localization over feature extraction for classification. When repurposed for classification, YOLOv8 may not extract the nuanced visual patterns needed to differentiate similar classes, such as trucks and buses. Consequently, although YOLOv8 performs well on the training set, its classification accuracy in real-world scenarios is limited. Addressing this may require architectural adjustments, stronger regularization, or more diverse training data to enhance the model’s generalization for pure classification tasks.
Development of an Android-Based Multimedia Learning Application for Human Body Organs to Enhance Middle School Education Dedi Jayanta, Ida Ketut; Setiaji, Bayu; Mustopa, Ali
Secure And Knowledge-Intelligent Research in Cybersecurity And Multimedia (SAKIRA) Vol. 2 No. 2 (2024): Optimizing Multimedia for Education, Design, and Tourism in the Digital Era
Publisher : Universitas Islam Al-Azhar Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36679/s4kira.v2i2.43

Abstract

In the traditional learning methods where teachers relied on teaching aids like books, some students still struggled to understand the material being taught. This was particularly evident in lessons about human body organs. To create a learning process that is effective, efficient, and aligned with the advancements of modern technology, traditional methods alone are no longer sufficient. A more interactive and engaging learning model is crucial to foster enjoyable and accessible learning experiences. To address this, an Android-Based Multimedia Application for learning about human body organs was developed. This application aims to facilitate the teaching and learning process, especially for middle school students. Through the app, students can access various learning materials such as the respiratory system, digestive system, musculoskeletal system, excretory system, and circulatory system, complemented by images and animations. Additionally, the app includes practice exercises that help students assess their understanding of the material. By leveraging technology, particularly Android and multimedia, the learning process becomes more enjoyable and engaging. The combination of animations, sound, and text enhances the overall learning experience. Students can now access educational materials anytime and anywhere using their Android devices.
Wisata Virtual di Geopark Gunungsewu Kabupaten Gunungkidul Sebagai Media Promosi Pariwisata Daerah Nuraini Sekarsih, Fitria; Mustopa, Ali; Mustika Dewi, Melany; Pringgondani, Restu; Kukuh, Kukuh
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 5 No. 2 (2024): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v5i2.3238

Abstract

Geopark Gunungsewu mempunyai potensi untuk dikembangkan menjadi virtual tour atau wisata virtual. Keindahan potensi wisata di Geopark Gunungsewu Gunungkidul memang belum banyak diketahui orang. Wisata virtual ini diaplikasikan di 3 titik kawasan wisata Gunungsewu yaitu Gunung Api Purba (GAP) Nglanggeran, Gua Ngingrong, Gua Ngobaran, dan sepanjang Pantai di Gunungkidul. GAP Nglanggeran merupakan deretan perbukitan purba, sedangkan Gua Ngingrong dan Gua Ngobaran merupakan wisata goa yang menawarkan keindahan stalaktit dan stalagmit di perbukitan karst. Wisata virtual ini juga menawarkan wisata Pantai di sepanjang Pantai di Gunungkidul dengan total kurang lebih ada 40 pantai yang dapat dinikmati dengan media virtual ini. Titik wisata ini juga mewakili wisata ekstrim di kawasan Geopark yang hanya bisa dinikmati oleh masyarakat tertentu saja. Hadirnya wisata virtual diharapkan dapat mewakili rasa penasaran pengunjung yang terkendala untuk memasuki kawasan wisata ini. Sebut saja lansia, anak-anak, pengunjung penyandang disabilitas, dan pengunjung yang memiliki penyakit tertentu. Keterbatasan waktu juga dapat menjadi kendala untuk melakukan eksplorasi di semua titik wisata di Gunungkidul. Cara yang digunakan adalah dengan mengambil foto panorama 360 di lokasi tersebut dan juga dilengkapi dengan foto dari google street views. Foto-foto tersebut dirangkai menjadi sebuah paket tur virtual yang disajikan secara online dan offline. Hasilnya, sebanyak 95% pengguna merasa virtual tour ini dapat menggambarkan ilustrasi perjalanan wisata di Geopark Gunungsewu.
OPTIMASI PENGGUNAAN MEDIA SOSIAL SEBAGAI ALAT PROMOSI DALAM KONTEKS DIGITAL MARKETING PADA UMKM BORNEO ISTIMEWA Mustopa, Ali; Lisnawanty; Sa'adah, Rabiatus; Dahlia, Rizka
Jurnal Penelitian dan Pengabdian Masyarakat Jotika Vol. 3 No. 2 (2024): Februari
Publisher : Jotika English and Education Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56445/jppmj.v3i2.131

Abstract

Media sosial, sebagai platform online, memberikan kemudahan dalam berbagi konten dan berinteraksi. Sebagai alat promosi, media sosial menawarkan keuntungan meningkatkan visibilitas produk dan interaksi dengan target audiens. Dengan strategi yang tepat, media sosial dapat menjadi alat pemasaran yang efektif. Keberadaan media sosial memungkinkan interaksi lebih luas, memperluas jejaring, dan mengatasi kendala jarak serta waktu. Meski demikian, analisis menunjukkan bahwa sebagian besar anggota UMKM Borneo Istimewa masih kurang memahami potensi media sosial. Ketidakpahaman ini dapat mengakibatkan kurangnya pengenalan produk, kesulitan dalam pemasaran, dan hambatan promosi. Pemanfaatan media sosial menjadi solusi untuk meningkatkan visibilitas produk, memperluas pasar, dan mengatasi kendala promosi. Oleh karena itu, pelatihan mengenai pemanfaatan media sosial menjadi krusial untuk meningkatkan pemahaman dan keterampilan anggota UMKM, diharapkan membawa dampak positif pada pertumbuhan dan keberlanjutan UMKM Borneo Istimewa
DEIKSIS DALAM NOVEL SABTU BERSAMA BAPAK KARYA ADHITYA MULYA (KAJIAN PRAGMATIK) Mustopa, Ali; Rahmawati, Dewi; Lindayani, Lilik Rita
Seshiski: Southeast Journal of Language and Literary Studies Vol 3 No 2 (2023): Volume 3 Issue 2, December 2023
Publisher : Himpunan Sarjana Kesusastraan Indonesia, Komisariat Sulawesi Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53922/seshiski.v3i2.52

Abstract

This study aims to explain how the 3 types of deixis are used in the novel “Sabtu bersama Bapak” by Adhitya Mulya. This study used a qualitative descriptive method in which the data in the study were obtained from the novel “Sabtu bersama Bapak”. The data in this study are in the form of sentences obtained from dialogues in the novel “Sabtu bersama Bapak”, in which there are 3 types of deixis, namely persona deixis, place deixis, and time deixis. The data collection process in this study uses reading and note-taking techniques. The process of analyzing the data in this study includes 3 procedures, namely data reduction, data presentation, and data verification. The results of the study found that there were 3 types of deixis used by the author in the novel “Sabtu Bersama Bapak”, namely persona deixis, place deixis, and time deixis with a total usage of 23 data.
Co-Authors Abdul Hamid Abdul Latif Abdul Latif Abdul Latif Abdulloh, Ferian Fauzi Agung Baitul Hikmah Agung Sasongko Agung Sasongko Agus Junaidi Agustiani, Sarifah Andi Saryoko Antonius Yadi Kuntoro Ari Cahyono Bayu Setiaji Burhan, Faika Dedi Jayanta, Ida Ketut Desyandri Desyandri Devi Wulandari Devi Wulandari Dewanto Yusuf Priyambodo DEWI RAHMAWATI Eri Bayu Pratama, Eri Bayu Fachrurozi, Ahmad Favian Afrheza Fattah Firdaus, Muhammad Rifqi Firmansyah, Herman firmansyah, Yoki Fitriana, Lady Agustin Ganda Wijaya Ganda Wijaya, Ganda Hartono . Hendri Mahmud Nawawi Hermanto Hermanto Ikhsanda, Reza Insan, Siti Rahma JOKO DWI SANTOSO Khultsum, Umi Kukuh, Kukuh Kusnawi Kusnawi Lady Agustin Fitriana Laksono Trisnantoro Lilik Rita Lindayani Lisnawanty Lukman Hakim M. Rangga Ramadhan Saelan Mahmud Nawawi, Hendri Maysaroh, Maysaroh Mochammad Abdul Azis Muhammad Fahmi Julianto Muhammad Iqbal Muhammad Iqbal Muhammad Rezki Muhammad Sony Maulana Mulyatun, Sri Mustika Dewi, Melany Nanik Wuryani Nauvaldhi , Muhammad Sachib Farhan Nawawi, Hendri Mahmud Nuraeni Herlinawati Nuraini Sekarsih, Fitria Pratiwi Retnaningdyah, Pratiwi Pribadi, Denny Pringgondani, Restu Putra, Andriyan Dwi Putro, Miko Kastomo Rabiatus Sa’adah Rahmat Hidayat Raja Sabaruddin Rangga Sanjaya Ravi Manisha Reza Maulana Risdiansyah, Deni Rizka Dahlia Rizky Ade Safitri Robial, Siti Muawanah Rusda Wajhillah, Rusda Sa'adah, Rabiatus Saadah, Rabiatus Saifulloh, Ahmad Iklil Sari, Monika Sekarsih, Fitria Nuraini Seniwati, Erni Setiawanto, Irwan Sholeha, Eka Wahyu Siti Khotimatul Wildah Sopiyan Dalis Steven Suhartono Suharyanto Suharyanto Suharyanto Supriatna, Agus TONNY HIDAYAT Umi Khultsum Wahyu Nugraha Wahyutama Fitri Hidayat Windu Gata Windu Gata Yoseph Tajul Arifin Yudhistira Yudhistira