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All Journal Jurnal Ruas (Review of Urbanism and Architectural Studies) Celt: A Journal of Culture, English Language Teaching & Literature Sisforma: Journal of Information Systems PROXIES LANGKAU BETANG: JURNAL ARSITEKTUR Jurnal Riset Ekonomi dan Bisnis Journal of Architectural Design and Urbanism Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Arsitektur ZONASI EconBank : Journal Economics and Banking Journal of Information Systems and Informatics Neo Teknika: Jurnal Ilmiah Teknologi Journal of Architectural Research and Education Journal of Management and Business Environment (JMBE) Journal of Business and Technology Arsitekta IJEAS (International Journal of Environment, Architecture, and Societies) Elektriese: Jurnal Sains dan Teknologi Elektro Journal of Local Architecture and Civil Engineering
Ridwan Sanjaya
Department Of Information Systems, Soegijapranata Catholic University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Social Sciences Other

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Efektivitas PECS untuk Meningkatkan Kemampuan Bahasa Reseptif Anak dengan Autism Spectrum Disorder Usia 4-5 Tahun: The Effectiveness of PECS in Improving Receptive Language Skills in Children with Autism Spectrum Disorder Aged 4-5 Years Sanjaya, Ridwan; Perdana Putra, Sinar; Nugroho, Setyadi
Elektriese: Jurnal Sains dan Teknologi Elektro Vol. 15 No. 02 (2025): Artikel Riset Edisi Oktober 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/elektriese.v15i02.6964

Abstract

The prevalence of Autism Spectrum Disorder (ASD) is increasing significantly in Indonesia, which affects children's communication skills and social-cognitive development. This study aims to test the effectiveness of the Picture Exchange Communication System (PECS) in improving receptive language skills in children with ASD aged 4–5 years at the Olan Development Center in Sragen. This quasi-experimental study, employing a one-group pretest–posttest design, involved five boys aged 4–5 years who were purposively selected. The PECS intervention consisted of 14 sessions, while receptive language skills were assessed using the Receptive Verbal Vocabulary Test (RVT) before and after the intervention. Data analysis included the Shapiro–Wilk normality test and a Paired Sample t-test to examine differences in pretest and posttest scores. The average receptive language score increased from 6.40 in the pretest to 14.20 in the posttest (mean difference = 7.80). The results of the Paired Sample t-test showed a significant increase (t = -4.033; df = 4; p = 0.016), indicating that the change in scores was not coincidental. Variations in responses between subjects were reflected in the posttest scores, which ranged from 4 to 26. PECS was effective in improving the receptive language skills of early childhood ASD children through a visual communication approach. It is recommended that PECS be implemented as part of speech intervention for children with ASD, as well as further research with larger samples, more extended follow-up periods, and control designs to strengthen the generalizability of the findings.
A Systematic Literature Review and Bibliometric Analysis on Forest Fire Prediction Models Hanindito, Gregorius Anung; Wibowo, Mochamad Agung; Sanjaya, Ridwan
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 15 No. 01 (2026): JANUARY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v15i01.2537

Abstract

Forest fires cause a significant ecological, social and economic threat globally, particularly in regions prone to climate change and anthropogenic pressures. This study conducts a comprehensive Systematic Literature Review (SLR) and Bibliometric Analysis of forest fire prediction models from 2021 to mid 2025, focusing on the utilization of machine learning, deep learning, and hybrid approaches. The review systematically analyses 65 relevant publications sourced from Scopus and ScienceDirect, selected through a PRISMA framework. The findings indicate that models like random forest, 1D CNN, ConvLSTM, and Transformer are commonly applied, leveraging diverse datasets including satellite picture, atmospheric data, vegetation health index, and fire history records. Despite advances, most studies still emphasize meteorological variables, while local contexts such as socio-economic and land use factors remain underexplored. Furthermore, current models often face limitations in generalizability across regions. This study identifies key trends, gaps, and opportunities in the development of more robust and interpretable fire prediction models. This research also provides knowledge and insight related to the warning system for forest fire disasters. Recommendations include integrating socio-environmental data and developing geographically adaptive frameworks to enhance forest fire risk assessment and early warning systems.
Sistem Deteksi Aktivitas Dan Sirkulasi Ruang Sebagai Upaya Efisiensi Ruang Dengan Menggunakan Pozyx Arinta, Rizka Tri; Purwanto, LMF; Saswitko, Prasasto; Sanjaya, Ridwan
Neo Teknika Vol 7, No 2 (2021): Vol 7 No 2 (2021) : Jurnal Neoteknika Volume 7 Nomer 2 Desember 2021
Publisher : Universitas Pandanaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37760/neoteknika.v7i2.1834

Abstract

Seperti tali yang tidak terputus, begitulah prinsip programan ruang dalam perancangan desain arsitektur. Aktivitas dan sirkulasi merupakan bagian dari pemrograman yang sangat penting dalam organisasi ruang. Indonesia harus melakukan upaya untuk menentukan standar besaran ruang yang efektif dan efisien, karena dalam catatan jejak ekologisnya, Indonesia membutuhkan 0,06 lahan untuk tempat tinggal dan infrastruktur lainnya lebih banyak dari lahan yang tersedia saat ini. Angka ini dapat ditekan dengan upaya menciptakan satu efisiensi ruang, dengan efisiensi ini ini diharapkan mampu menentukan standar minimal besaran ruang yang sesuai dengan karakteristik masyarakat di Indonesia. Penelitian ini dilakukan dengan metode analisis deskriptif, dengan melihat penggambaran yang dilakukan melalui pengamatan studi preseden untuk mendeteksi aktivitas dan pola sirkulasi yang terbentuk. Studi ini lakukan agar dalam penelitian berikutnya mampu menjadi sebuah alat dalam merekam karaktistik aktivitas dan pola sirkulasi yang dibentuk oleh masyarakat Indonesia. Hasil dari membandingkan data yang telah dilakukan oleh pozyx ini, aktivitas yang terekam dapat membentuk semua pola sirkulasi ruang, dengan demikian perangkat ini mampu dijadikan sebagai alat yang digunakan untuk menganalisa efisiensi ruang. Ruang yang efisian adalah ruang yang ketepatan dan kedaya gunaan yang tinggi, untuk itu dibutuhkan satu perancangan yang tepat guna sesuai dengan karakteristik masyarakat di Indonesia. Jika efiensi ruang tercapai maka standar dimensi ruang juga dapat di efektifkan, dengan demikian Indonesia mampu menekan angka kebutuhan lahan yang diperuntukkan untuk hunian dan pembangunan. Kata kunci : Sistem Deteksi, Aktifitas, Sirkulasi Ruang, Efisiensi Ruang, Pozyx
Adaptasi Kinerja Bangunan Rumah Tinggal dengan Ventilasi Atap Responsif Mufidah, Mufidah; Purwanto, LMF.; Sanjaya, Ridwan
RUAS Vol. 19 No. 1 (2021)
Publisher : Departemen Arsitektur Fakultas Teknik Universitas Brawijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.ruas.2021.019.01.7

Abstract

Thermal comfort is a condition where occupants can feel comfortable doing activities in the building. One of the ways to get comfort is done by passive design, in which the building is designed to adapt weather change outside the building. Because the weather outside is always changing, the planned building design must be responsive to these weather changes. This study uses a responsive roof ventilation model, that the movement of the roof vent covering grille, which serves as an attempt to regulate the exit of wind from the inlet. This study method begins with a literature review on the thermal comfort of residential building in the humid tropics,  as a study of the application of passive design principles as building adaptation to weather changes. Furthermore, an analysis of the ventilation area is made based on the need for thermal comfort in the building. Finally, the planning of building performance systems automatically using the Arduino temperature and humidity sensors. The result is the concept of a framework as applying automation to responsive roof ventilation. This preliminary study is still basic and it is hoped that can be continued in research with the application and experimentation of the roofs in small building
Harnessing Remote Sensing for Soil Erosion Prediction: A Bibliometric Review of RUSLE Applications Cobantoro, Adi Fajaryanto; Wibowo, Mochamad Agung; Sanjaya, Ridwan
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 15 No. 01 (2026): JANUARY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v15i01.2533

Abstract

This study examines recent advancements in soil erosion modeling using the Revised Universal Soil Loss Equation (RUSLE), integrated with remote sensing and artificial intelligence techniques. Adopting a Systematic Literature Review (SLR) and bibliometric analysis via Bibliometrix in R, 63 articles were analyzed from an initial 359 based on strict selection criteria. Findings reveal a sharp rise in publications since 2017, especially involving machine learning and Google Earth Engine (GEE) platforms. Co-authorship analysis highlights significant international collaboration, particularly between Asia and Europe. Concept maps and co-word analyses show a shift from traditional RUSLE applications toward AI and big data approaches. Thematic evolution further indicates a growing focus on climate change and the Sustainable Development Goals (SDGs). The review's primary contribution lies in its explicit identification of critical research priorities by pinpointing key gaps: the limited use of field validation, weak SDG integration, and fragmented international research networks. By highlighting these deficiencies, this study provides a clear roadmap for future investigations, steering the field toward more inclusive, data-driven, and validated approaches to address global land degradation and climate resilience. Overall, the study contributes to the development of more effective erosion mitigation models through technological integration and international collaboration.
Google Maps API as a Tool for Detecting Urban Density Levels Ara Kian, Donatus; Sanjaya, Ridwan; Rejeki, V. G. Sri
Local Engineering Vol. 4 No. 1 (2026): June
Publisher : CV. Gio Architect

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59810/lejlace.v4i1.231

Abstract

The development of geospatial technology has enabled more efficient analyses of urban density. Google Maps API provides location data, traffic information, and user activity patterns that can be utilized to detect density levels in urban areas. This study aims to explore the potential of the Google Maps API as a tool for identifying urban density by integrating traffic data (Traffic Layer), business location datasets, and user movement patterns. The findings indicate that data obtained from the Google Maps API can be used to map high-density zones in both real-time and historical contexts. These insights have significant implications for urban planning, congestion mitigation, and smart city development.
Co-Authors Adiseputra, Nicholaus Agus Cahyo Nugroho Alb. Dwi Yoga Widiantoro Alb. Dwiyoga Widiantoro Albertus Dwi Yoga W Albertus Dwiyoga Widiantoro Alexandra Adriani Widjaja andadari, tri susetyo Andre Kurniawan Pamudji Andru Deva Lukito Aprilia Ratna Christanti Baskara Arya Pranata Bernadinus Harnadi Bernardinus Harnadi Cecilia Titiek Murniati Celvin Laviano Chandrawati, T. Brenda Christine Wibhowo, Christine Cobantoro, Adi Fajaryanto Dharmawan, Jovita Dwiyoga Widyarto Ekawati Marhaenny Dukut, Ekawati Marhaenny Elisa Purnamasari Elisa Purnamasari, Elisa Elizabeth Kurniawan Ardianto Erdhi Widyarto Evangeline Eunike Fajar As'ari Fajar As'ari Felicia Kusuma Fiolita, Cindy FX Hendra Prasetya FX Hendra Prasetya Graciela, Cindy Fiolita Gregorius Alvin Raditya Santoso Gregorius Anung Hanindito Hendra Prasetya Hendra Prasetya Hendra Prasetya Hendra Prasetya Hening Artdias Hermawan Hermawan Inggrit Swastini Dewi Isidorus Ivan Kalya Wasistha Koeswoyo, Freddy Koeswoyo, G. Freddy L.M.F. Purwanto Leocadia Desy Pranatalisa LMF. Purwanto Lysbeth Venella Oey Margareta Ernanda Rahardani Meissy Lengmas Congdinata Mufidah Mufidah Muljanto, Yehuda Joy Nugraha, Johanes Arya Pramesta Nugroho, Agus Cahyo Nugroho, Setyadi Nur Yanti Nuryanti Nuryanti P., Angelicdolly Palgunadi, Petrus Pamudji, Andre Kurniawan Perdana Putra, Sinar Pramuditya, Reza Santika Prasasto Satwiko, Prasasto Priatko, Albertus Aditya Purwanto, LMF Rahardjo, Ervina Febriani Ramli, Justine Hezekiel Rejeki, V. G. Sri Retang Wohangara, Retang Rio Wiranto Risa Farrid Farrid Christanti, Risa Farrid Santi Widiastuti Santosa, Daniel Saswitko, Prasasto Setiyanto, Benny D. Sindi Budi Emilia Soetomo, Greg. Stephen Jonathan Gustav Sulastri, Augustina T Brenda Chandrawati T. Brenda Ch Ch Tri Arinta, Rizka veinta sonrizky mayo Wahyuningrum, Shinta Estri Wibowo, Mochamad Agung Widianto, Daniel Prasetya Widjaja, Robert Rianto Widyarto, Erdhi Yonathan Aditya Wijaya Yulianto, Felix Wiranata