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All Journal SENTIA 2016 Jurnal Pendidikan Matematika (JPM) Journal of Applied Smart Electrical Network and System (JASENS) Jurnal Jaringan Telekomunikasi Jurnal Pengabdian Polinema Kepada Masyarakat JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Riset Akuntansi (RISTANSI) Jurnal ELTEK Jurnal Multidisiplin West Science Prosiding Seminar Nasional Pengabdian Masyarakat West Science Interdisciplinary Studies The Indonesian Journal of Computer Science JURDIASRA SiRad: Pelita Wawasan
Mochammad Junus
Jurusan Teknik Elektro, Politeknik Negeri Malang
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Social Sciences Other

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ACCOUNTING ARTISTIC RENAISSANCE IN THE DIGITAL-RENEWABLE ERA Indra Lukmana Putra; Mochammad Junus; Nur Imamah; Rosy Aprieza Puspita Zandra; Rully Aprilia Zandra
RISTANSI: Riset Akuntansi Vol. 7 No. 1 (2026): RISTANSI: Riset Akuntansi, Volume 7,Issue 1, May 2026
Publisher : Program Studi Akuntansi Institut Teknologi dan Bisnis Asia Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/ristansi.v7i1.2938

Abstract

Transformation of digital technologies, distinctive nature of artistic practices, and urgency of transition toward renewable energy introduce new conceptual challenges to accounting practices. Research examines how technology-mediated art curation, within the context of organizational governance and renewable energy projects, disrupts conventional accounting practices and broadens meaningful of accountability. Interpretive qualitative approach is employed through critical literature analysis and documentary studies of technology-based art curation practices, data visualization, and performative representations that foreground issues of value, sustainability, and accountability in the renewable energy sector. Thematic analysis is used to identify conceptual patterns interrelate accounting, art, technology, and energy. Findings demonstrate that art curation functions as an alternative form of accounting capable of representing the economic, social, and ecological value complexities of renewable energy in more narrative and reflective ways, while digital technologies amplify this disruptive capacity through visual and interactive experiences that move beyond static financial reports. Study reveals new insights showing that the integration of art, technology, and renewable energy contexts drives a shift toward multiple-narrative, more humanistic, and sustainability-oriented models of accountability. Main conclusion emphasizes that accounting should be understood as a social and cultural practice that is adaptive and responsive to environmental concerns and energy transition dynamics.
Economic and Socio‑Ecological Mechanisms Behind Renewable Energy Deployment: A Global Panel Study of Energy Justice Outcomes: Mekanisme Ekonomi dan Sosio-Ekologis di Balik Implementasi Energi Terbarukan: Studi Panel Global tentang Hasil Keadilan Energi Indra Lukmana Putra; Mochammad Junus; Ascosenda Ika Rizqi
SiRad: Pelita Wawasan June (Vol. 2 No. 2, 2026)
Publisher : Yayasan Nurul Musthafa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64728/sirad.v2i2.art8

Abstract

Complex relationship between renewable energy deployment, governance quality, and energy justice outcomes across different countries. Given the global transition towards renewable energy (RE) as a means to mitigate climate change, the research examines how varying political and economic structures, along with socio-ecological trade-offs, affect the equitable distribution of the benefits and burdens of energy transitions. Using a panel dataset of global countries from 2000 to 2025, the study employs fixed-effects regression models and structural equation modeling (SEM) to test the effects of renewable energy expansion on energy justice, with particular attention to the mediating role of socio-ecological impacts such as land-use changes and local conflicts. Findings reveal that while RE deployment is positively associated with environmental sustainability, it does not always lead to improvements in energy justice. In some cases, it exacerbates inequalities in energy access and affordability, particularly in countries with weak governance and highly concentrated energy markets. Structural equation modeling reveals that while economic mechanisms function as significant mediators, the indirect pathway through socio-ecological trade-offs is statistically non-significant, indicating a decoupling between localized ecological impacts and macro-level energy justice outcomes. Research underscores importance of integrating political economy and governance considerations into renewable energy policy to achieve fair and just energy outcomes globally. [Penelitian ini mengkaji hubungan yang kompleks antara implementasi energi terbarukan, kualitas tata kelola, dan hasil keadilan energi di berbagai negara. Seiring dengan transisi global menuju energi terbarukan (renewable energy/RE) sebagai upaya mitigasi perubahan iklim, penelitian ini menganalisis bagaimana perbedaan struktur politik dan ekonomi, serta berbagai kompromi sosio-ekologis, memengaruhi distribusi yang adil atas manfaat dan beban dari transisi energi. Dengan menggunakan data panel berbagai negara di dunia selama periode 2000–2025, penelitian ini menerapkan model regresi efek tetap (fixed-effects regression models) dan structural equation modeling (SEM) untuk menguji pengaruh perluasan energi terbarukan terhadap keadilan energi, dengan perhatian khusus pada peran mediasi dampak sosio-ekologis seperti perubahan penggunaan lahan dan konflik lokal. Hasil penelitian menunjukkan bahwa meskipun implementasi energi terbarukan berhubungan positif dengan keberlanjutan lingkungan, hal tersebut tidak selalu menghasilkan peningkatan keadilan energi. Dalam beberapa kasus, implementasi energi terbarukan justru memperburuk ketimpangan dalam akses dan keterjangkauan energi, terutama di negara-negara dengan tata kelola yang lemah dan pasar energi yang sangat terkonsentrasi. Hasil structural equation modeling mengungkapkan bahwa mekanisme ekonomi berfungsi sebagai mediator yang signifikan, sedangkan jalur tidak langsung melalui kompromi sosio-ekologis tidak signifikan secara statistik. Temuan ini menunjukkan adanya keterputusan antara dampak ekologis yang bersifat lokal dengan hasil keadilan energi pada tingkat makro. Penelitian ini menegaskan pentingnya mengintegrasikan pertimbangan ekonomi politik dan tata kelola ke dalam kebijakan energi terbarukan guna mewujudkan hasil transisi energi yang adil dan merata secara global.]
AIoT-enabled automated waste classification and real-time capacity monitoring system for smart waste management Ginanjar Suwasono Adi; Dodit Suprianto; Atik Novianti; Khurnia Fiddiana Rohmah; Elka Faizal; Mochammad Junus; Riona Ihsan Media
JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Vol. 6 No. 1: March 2026
Publisher : Jurusan Teknik Elektro, Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/jitel.v6.i1.2026.23-34

Abstract

Population growth and urbanization have increased waste generation and intensified global waste management challenges. In Indonesia, national waste generation reached 38.4 million tons in 2023, with 38.38% remaining inadequately managed. This study aims to develop an Artificial Intelligence of Things (AIoT)-based system for automatic waste classification and real-time bin capacity monitoring. The system integrates the YOLOv8n model to identify four waste categories (organic, inorganic, hazardous/B3, and others) with ultrasonic sensors for capacity measurement, coupled with a web platform for data visualization. Model evaluation yielded a Macro F1-Score of 63.9%, with the best performance in the organic class (91.33%), followed by inorganic (68.37%), and hazardous/B3 (31.92%). Ultrasonic sensors demonstrated a near-linear relationship between waste height and capacity percentage (4.5% per cm), validating their reliability for real-time monitoring. The developed system proves the feasibility of AIoT integration for automated waste sorting, although further optimization is required to improve classification accuracy for minority classes. This research contributes to the development of intelligent solutions supporting more efficient and sustainable urban waste management.
Pengembangan Perangkat Pembelajaran Daring dengan Pendekatan Problem Based Learning untuk Meningkatkan Kemampuan Pemecahan Masalah Matematik Mahasiswa Adi Candra Kusuma; Mochammad Junus
Jurnal Pendidikan Matematika (JPM) Vol 8 No 1 (2022): Jurnal Pendidikan Matematika (JPM)
Publisher : Department of Mathematics Education, Faculty of Teacher Training and Education, Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jpm.v8i1.14367

Abstract

Berbagai kendala dalam mempersiapkan pembelajaran dialami baik oleh mahasiswa maupun dosen. Tujuan dari penelitian ini adalah untuk memperoleh hasil pengembangan perangkat pembelajaran online dengan pendekatan Problem Based Learning pada mata kuliah matematika yang valid dan praktis. Metode penelitian yang digunakan adalah model penelitian dan pengembangan Plomp. Hasil validasi ahli dan rekan terhadap perangkat pembelajaran matematika seperti RPS (3,96), RPP (4,05), Bahan Ajar (4,08), LKS (4,11) dan soal (4,07) valid dengan kriteria baik). Hasil nilai uji kepraktisan dari rata-rata observasi pelaksanaan pembelajaran 76,9%, rata-rata respon angket mahasiswa 85,1%, rata-rata angket respon dosen 82,4% dan rata-rata observasi aktivitas kemampuan pemecahan masalah matematis 82%. Dari uji validitas dan uji kepraktisan bahwa pengembangan perangkat pembelajaran matematika yang dibuat dapat menunjukkan peningkatan kemampuan pemecahan masalah matematis siswa terhadap pemecahan masalah non-rutin. Various of obstacles in preparing learning experienced by both students and lecturers. The purpose of this study was to obtain the results of developing online learning tools with a Problem Based Learning approach in valid and practical mathematics courses. The research method used is the Plomp research and development model. The results obtained by experts and colleagues validation of mathematics learning tools such as RPS (3.96), RPP (4.05), Teaching Materials (4.08), Student Worksheets (4 .11) and the question (4.07) is valid with good criteria). The results of the practicality test score from the average observation of learning implementation 76.9%, the average student questionnaire response 85.1%, the average lecturer response questionnaire 82,4% and the average observation of mathematical problem solving ability activities 82%. From the validity and practicality test that the development of mathematics learning tools made can show an increase in students' mathematical problem solving abilities towards solving non-routine problems
Optimasi Konversi Energi Potensi Biodegradable Waste Mochammad Junus; Indra Lukmana Putra; Asalil Mustaini; Nugraha Wijayanto; Nurefa Maulana
Jurnal Abdi Masyarakat Nusantara Vol. 4 No. 1 (2026): Jurnal Abdi Masyarakat Nusantara (JURDIASRA), Januari - Juni 2026
Publisher : Ikatan Cendekiawan Muda Akuntansi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61754/jurdiasra.v4i1.171

Abstract

Green sustainability accounting emphasizes the utilization of biodegradable waste by transforming costs into energy. TPST 3R Mulyoagung Bersatu in Dau District is one of the community-based waste management initiatives, yet it faces challenges such as limited human resources, outdated technology, and an aging workforce. The average organic waste generated reaches 5 tons per day, but only 3.5 tons are processed, while the remainder leads to additional treatment costs. This community service program was carried out in stages, including socialization, training, application of automatic waste sorting technology and biogas reactors, mentoring, and strengthening sustainability through the establishment of self-managed community groups. The results show improved waste management capacity, optimized sorting, a 80% increase in managerial skills, a 20% reduction in operational costs, and a 50% increase in compost and biogas production. The program contributes to the achievement of SDGs 8, 11, 12, and 13, generating dual benefits of a cleaner environment and new economic opportunities. In conclusion, integrating technology with community empowerment effectively reduces costs, addresses organic waste problems, and should be supported through policy expansion and replication of the model in other areas of Malang Regency.
Pemanfaatan Jaringan Syaraf Tiruan untuk Pengaturan Kualitas Udara di Fasilitas Pengolahan Limbah dengan Teknologi Eco-Enzyme Rachmad Saptono; Mochammad Junus; Dwina Moentamaria; Setyaputra Pradana D.; Daffa Afrizal W.; Indra Lukmana P.
The Indonesian Journal of Computer Science Vol. 15 No. 1 (2026): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v15i1.5053

Abstract

This study presents the development and implementation of an intelligent air quality monitoring system for waste treatment facilities utilizing Artificial Neural Networks (ANN) and eco-enzyme technology to address hazardous gas emissions including hydrogen sulfide (H₂S), ammonia (NH₃), and methane (CH₄) in landfill areas. The system integrates MQ-series gas sensors (MQ-136, MQ-137, and MQ-4) with an ESP32 microcontroller for real-time data acquisition, achieving exceptional performance with prediction accuracy exceeding 90% and a final Mean Squared Error of 0.006 after 2000 training epochs. Correlation analysis revealed strong negative relationships between gaseous pollutants and the Quality Index (r = -0.96 to -0.97, p < 0.001), confirming these gases as reliable predictors of air quality degradation. Cloud integration through Google Firebase and Blynk platforms enables remote monitoring and real-time data accessibility, while the implementation of eco-enzyme technology demonstrated significant effectiveness in reducing harmful gas emissions and mitigating unpleasant odors, with measurable improvements observed during the observation period. The system's ability to provide accurate predictions, automated control mechanisms, and comprehensive real-time monitoring positions it as a valuable tool for pollution mitigation efforts in landfill environments, contributing positively to public health outcomes and environmental sustainability.
Co-Authors Abdul Rasyid Adi Candra Kusuma Adi, Ginanjar Suwasono Agnes Estuning Tyas Aida Ulfia Rochmah Aisah Aisah Arinalhaq Fatachul Arinalhaq Fatachul Aziiz Asalil Mustaini Ascosenda Ika Rizqi Atik Novianti Azam Muzakhim Imamuddin Binti Asfaki Ludiyah Daffa Afrizal W. Debby Gutama Dianthy Marya Dodit Suprianto Dwina Moentamaria Elka Faizal Farida Arinie Soelistianto Firda Amalia Romana Galih Putra Riatma Harrij Mukti Khristiana Hudiono Hudiono Indra Lukmana P. Indra Lukmana Putra INDRA LUKMANA PUTRA Junaedi Adi Prasetyo Karin Febri Absari Khurnia Fiddiana Rohmah Kusumawardani, Mila Lis Diana Mustafa Lis Diana Mustafa Marina Annisa Fitri Martono Dwi Atmadja Moh. Abdullah Anshori Muhammad Adi Riswanto Muhammad Syirajuddin S. Naufal Abdir Rozaq Nugraha Wijayanto Nugroho Suharto Nur Imamah Nurefa Maulana Nurul Hidayati Nurul Hidayati Priya Surya Putri Elfa Mas'udia Putri Elfa Mas’udia Rachmad Saptono Rachmad Saptono Ridho Hendra Yoga ridho hendra yoga perdana Rieke Adriati Wijayanti Riona Ihsan Media Robby Juniansyah Arifandi Rosy Aprieza Puspita Zandra Rully Aprilia Zandra Septriandi Wirayoga Setyaputra Pradana D. Sinta Winda Purnamasari Waluyo Waluyo Yoyok Heru Prasetyo Isnomo