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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 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 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
Ali Mustopa, Ali
Universitas Bina Sarana Informatika
Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences 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 Medicine & Pharmacology Social Sciences Veterinary Other

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Analisis Sentiment Kepuasan Masyarakat Terhadap Identitas Kependudukan Digital Dengan Multinomial Naïve Bayes Putro, Miko Kastomo; Mustopa, Ali; Santoso, Joko Dwi; Sholeha, Eka Wahyu
Intechno Journal : Information Technology Journal Vol. 6 No. 1 (2024): July
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/intechnojournal.2024v6i1.1687

Abstract

Baru baru ini pemerintah menerbitkan sebuah kebijakan baru yaitu KTP Digital. Penggunaan KTP digital ini bertujuan untuk meningkatakan efisiensi dan keamanan data penduduk. Maka dari itu peneliti akan menganalisa kepuasan masyarakat yang sudah menggunakan Aplikasi KTP Digital atau IKD dengan menggunakan Metode Naïve Bayes. Penelitian ini juga bertujuan untuk bisa mengetahui kelemahan dari aplikasi IKD menurut pengguna dan diharapkan penelitian ini bisa menjadi sebuah pedoman untuk pemerintah jika ingin melakukan upgrade sistem IKD.
Pengukuran Kualitas Layanan Sistem Informasi Poliklinik (SIPOLINK) dengan Metode Webqual 4.0 Mustopa, Ali; Pratama, Eri Bayu; Nawawi, Hendri Mahmud
Jurnal Manajemen Informatika JAMIKA Vol 14 No 2 (2024): Jurnal Manajemen Informatika (JAMIKA)
Publisher : Program Studi Manajemen Informatika, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jamika.v14i2.12937

Abstract

The Polyclinic Information System (SIPOLINK) is designed to improve the quality of patient service by monitoring medical records more effectively and efficiently at the West Kalimantan Provincial Government Polyclinic. As an agency that handles health problems, the application of SIPOLINK provides significant added value for primary services, especially for users, namely all employees at the Polyclinic. This study aims to assess the quality of the SIPOLINK website services with the goal of improving service delivery to the community. The method used is Webqual 4.0, which includes three variables: usability quality, information quality, and interaction quality. Primary data was collected through a Likert scale questionnaire with 24 statements distributed to 30 respondents. Data analysis was conducted using descriptive statistical methods. The results indicate that interaction quality does not affect user satisfaction, while usability quality and information quality have a significant impact. The quality of SIPOLINK services affects user satisfaction by 87.3%, indicating that improvements in these areas can significantly enhance service delivery to the community.
PARTICIPATORY WEB GIS MANAGEMENT IN TOURISM AREA Sekarsih, Fitria Nuraini; Kusnawi, Kusnawi; Mustopa, Ali
Jurnal Graha Pengabdian Vol 6, No 1 (2024): MARET
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um078v6i12024p%p

Abstract

One of the most influential media in conveying information is online media. Through this media, the wider community can get information quickly without being constrained by distance. An interesting area that is increasingly popular because of the role of online media is the Nglanggeran Ancient Volcano Nglanggeran A.V) Tourism Area. However, reviewing information from photos and videos is certainly not enough. For tourists, spatial (location)-based information is fundamental. With this spatial-based information, potential visitors can find interesting points in this tourism area. It is necessary to introduce a tourism-based geographic information system (WebGIS) for this area. Pokdarwis (Tourism Awareness Group) of Nglanggeran Village, which young people dominate, was expected to be able to develop a tourism-based information system. Pokdarwis members had been introduced to WebGIS nglanggeran.gis.co.id, which was initiated before. Then, the Pokdarwis members were introduced and managed this WebGIS. The conclusion of these activities are 1). WebGIs are absolutely needed for the smart tourism village, 2). the need for easy-to-understand management of WebGIS, in managing this WebGIS, 3). the need for assistance periodically to keep updating important information in the Nglanggeran A.V area.
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: 10.1234/5b1wn222

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.
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.
Co-Authors Abdul Hamid Abdul Latif Abdul Latif Abdul Latif Abdulloh, Ferian Fauzi Agung Baitul Hikmah Agung Sasongko Agung Sasongko Agus Junaidi Agustiani, Sarifah Ahmad Fachrurozi Andi Saryoko Antonius Yadi Kuntoro Ari Cahyono Bayu Setiaji Burhan, Faika Dedi Jayanta, Ida Ketut Desyandri Desyandri Devi Wulandari Devi Wulandari Dewanto Yusuf Priyambodo Eri Bayu Pratama, Eri Bayu Favian Afrheza Fattah Firmansyah, Herman Fitria Nuraini Sekarsih Ganda Wijaya Ganda Wijaya, Ganda Hartono . Hendri Mahmud Nawawi Hermanto Hermanto Ikhsanda, Reza JOKO DWI SANTOSO Khultsum, Umi Kukuh, Kukuh Kusnawi Kusnawi Lady Agustin Fitriana Laksono Trisnantoro Lisnawanty M Rangga Ramadhan Saelan Mahmud Nawawi, Hendri Maysaroh, Maysaroh Mochammad Abdul Azis Muhammad Fahmi Julianto Muhammad Iqbal Muhammad Iqbal Muhammad Rezki Muhammad Rifqi Firdaus Muhammad Sony Maulana Mulyatun, Sri Nanik Wuryani Nauvaldhi , Muhammad Sachib Farhan Nawawi, Hendri Mahmud Nuraeni Herlinawati Pratiwi Retnaningdyah, Pratiwi Pribadi, Denny Putro, Miko Kastomo Rabiatus Sa'adah Rabiatus Sa’adah Rahmat Hidayat Raja Sabaruddin Rangga Sanjaya Ravi Manisha Risdiansyah, Deni Rizka Dahlia Rizky Ade Safitri Robial, Siti Muawanah Rusda Wajhillah, Rusda 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 TONNY HIDAYAT Umi Khultsum Wahyu Nugraha Wahyutama Fitri Hidayat Windu Gata Windu Gata Yoseph Tajul Arifin Yudhistira Yudhistira