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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Pengabdian Magister Pendidikan IPA GERVASI: Jurnal Pengabdian kepada Masyarakat DIKDAS MATAPPA: Jurnal Ilmu Pendidikan Dasar Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Mnemonic At-Tanzir : Jurnal Ilmiah Prodi Komunikasi Penyiaran Islam Ilomata International Journal of Social Science jeti Indonesian Journal of Educational Development (IJED) Jurnal Begawe Teknologi Informasi Rumoh: Journal of Architecture Jurnal Teknik Sipil Macca COMPETITIVE: Journal of Education Journal of Data Science and Software Engineering JURNAL PENGABDIAN MASYARAKAT YAMASI Vokatek : Jurnal Pengabdian Masyarakat Information Technology Education Journal Journal of Embedded Systems, Security and Intelligent Systems Aceh Journal of Electrical Engineering and Technology ARUS JURNAL SAINS DAN TEKNOLOGI WATHAN: Jurnal Ilmu Sosial dan Humaniora Jurnal MediaTIK Macca: Science-Edu Journal Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal MEKOM: Media Komunikasi Pendidikan Kejuruan International Journal of Sociology of Religion International Journal Of Synergi In Law, Criminal And Justice Journal of Shoutheast Asian Islam and Society (JSEAIS) Al-Hayat: Journal of Islamic Education Jurnal Kolaborasi Akademika Media for Empowerment, Mobilization, and Innovation in Research & Community Journal of Primary Education Innovation and Research SainsTech Innovation Journal Tilawah: Journal of Al-Qur'an Studies Jurnal Ilmiah Mandalika Education
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Intellectual and Spiritual Integration in Self-Actualisationof the Naqsyabandiyah Khalidiyah Tarīqah Muliadi; Maulani; Karim, Abdul; Wasik, Abdul; Qaaf, Muhammad Alfath
Al-Hayat: Journal of Islamic Education Vol. 8 No. 4 (2024): Al-Hayat: Journal of Islamic Education
Publisher : LETIGES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35723/ajie.v8i4.681

Abstract

This study aims to examine the interaction between intellectual and spiritual aspects in the Naqsyabandiyah Khalidiyah order and its impact on the self-actualisation and morality of the congregation. This study uses a qualitative approach with an interpretivism paradigm, focusing on the spiritual and social experiences of followers of the Naqsyabandiyah Khalidiyah Order. The study was conducted at the Naqsybandiyah Khalidiyah congregation foundation in Medan, North Sumatera, Indonesia. Data collection techniques included observation, interviews, and documentation. Data analysis was done by reduction, narrative presentation, and triangulation for validity testing. Self-actualisation through tariqah, especially in the Naqsyabandiyah Khalidiyah Order tradition, integrates intellectual and spiritual dimensions. Sheikh Kadirun Yahya developed an approach combining exact sciences with spirituality, emphasising the importance of intellectual development through an understanding of metaphysics, psychology, and deep sufism practices. This order teaches that self-actualisation depends on fulfilling physical needs and increasing spiritual awareness that connects individuals with God. Thus, Tarīqah's followers develop spiritual potential and enrich their intellect to achieve a more holistic balance in life. The implication for Islamic education is the importance of integrating intellectual and spiritual dimensions in learning. Further research suggests exploring the application of Sheikh Kadirun Yahya's teachings in Islamic education to develop students' potential holistically, both in spiritual and intellectual aspects.  
Development of an IoT-Based Home Security System Prototype Using Multisensors and ESP32-CAM Nannung, Jumita; Sa'ban Miru, Alimuddin; Muliadi; Gunawan
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 2 (2025): June 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i2.8456

Abstract

Advancements in information technology have driven the development of home security systems based on the Internet of Things (IoT). This study aims to design a home security system using ESP32-CAM, multisensors, and Telegram for real-time monitoring. The system features face recognition using the Haar Cascade and LBPH algorithms, along with DHT22 and MQ-2 sensors to monitor temperature, humidity, and hazardous gases. The development method used is the prototype model. Testing results showed a face recognition accuracy of 95.31% and the ability to detect temperatures above 40°C and gas concentrations exceeding 300 PPM. The system performs optimally at a distance of 35–150 cm but is limited by extreme lighting and facial angle variations. In conclusion, the system enhances home surveillance effectiveness through real-time monitoring and reliable remote access control
Pengembangan Sistem Informasi Bimbingan Akademik Bagi Pembimbing Akademik Untuk Memantau Perkembangan Mahasiswa di Jurusan Teknik Informatika Dan Komputer Ruslan; Muliadi; Ulantari Suhal
Jurnal MediaTIK Volume 6 Issue 3, September (2023)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v6i3.3117

Abstract

Penelitian ini bertujuan untuk mengembangkan sistem informasi bimbingan akademik bagi pembimbing akademik untuk memantau perkembangan mahasiswa di jurusan teknik informatika dan komputer. Penelitian ini menggunakan jenis penelitian pengembangan Research and Development (R&D) yang menggunakan model pengembangan waterfall dengan menggunakan pengujian standar kualitas ISO 25010 yang terfokus pada 4 karakteristik. Hasil dari pengujian menunjukkan hasil yang sangat layak berdasarkan karakteristik functional suitability, berdasarkan karakteristik reability ditemukan 0 error, berdasarkan karakteristik portability sistem bisa berjalan dengan sangat baik pada perangkat dan browser yang berbeda dan karakteristik usability didapatkan hasil berdasarkan penilaian dosen dan mahasiswa 92% dengan kategori sangat baik.
The Utilization of Firebase as a Backend in the Development of Mobile Restaurant Ordering Application Muliadi; Putra, Kurnia Prima
Jurnal MediaTIK Volume 8 Issue 2, Mei (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pengembangan aplikasi pemesanan makanan restoran berbasis Android dengan menggunakan Firebase adalah langkah inovatif dalam meningkatkan pengalaman pelanggan dalam memesan makanan secara online. Artikel ini membahas proses pengembangan aplikasi tersebut, mulai dari perancangan antarmuka pengguna hingga implementasi fitur-fitur penting seperti melihat menu, menambahkan makanan ke keranjang, dan melakukan pembayaran. Penggunaan Firebase sebagai database backend memberikan keleluasaan dalam menyimpan dan mengelola data pengguna, menu makanan, dan pesanan, serta memungkinkan pelacakan status pesanan secara real-time. Hasil pengujian menunjukkan bahwa aplikasi ini memberikan pengalaman yang memuaskan bagi pengguna dalam memesan makanan secara online.
Review of Law No.17 of 2023 concerning Health Chapter VI (Health Service Facilities) Situngkir, Andreas Henfri; Mulyantika, Dea Ambar; Hasibuan, Helviana; Muliadi; Saragih, Sry Ningsih; Zarzani, T. Riza
International Journal of Synergy in Law, Criminal, and Justice Vol. 1 No. 1 (2024): SLP-IJSLCJ
Publisher : PT. Sinergi Legal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70321/ijslcj.v1i1.5

Abstract

Law no. 17 of 2023 concerning Health is the latest health law created by the government as a form of health transformation in Indonesia. This law includes promotive, preventive, curative and rehabilitative efforts with the aim of improving the quality of health services, protecting the community, as well as regulating the authority and responsibilities of health workers. The purpose of this research/writing is to find out changes or improvements to a number of aspects of the previous health law to become the latest health law, especially in the aspect of health service facilities and how they are implemented. The research method used is a qualitative method, namely document/text study. In the previous health law, the use of information and communication technology was not implemented as an effort to provide health services to the public, in contrast to the latest health law, the government has developed it in the form of telehealth and telemedicine. And there are several other aspects that are also undergoing changes and improvements to health service facilities contained in this latest Health Law. Keywords: health transformation, promotive, preventive, curative, telemedicine
ANALISIS PERAN GURU DALAM MENGIMPLEMENTASIKAN NILAI KEARIFAN LOKAL PADA PEMBELAJARAN MULOK SD NEGERI 65 SIJELLING KABUPATEN BONE sahar, resti; Muliadi; Jauhar, Sitti
MACCA : Science-Edu Journal Vol. 2, No.2 (2025): Juni 2025
Publisher : Education and Talent Development Center of Indonesia (ETDC Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51574/msej.v2i2.3107

Abstract

Penelitian ini merupakan penelitian Kualitatif. Tujuan dari penelitian ini untuk mendeskripsikan Peran Guru dalam Mengimplementasikan Nilai Kearifan Lokal pada Pembelajaran Mulok SD Negeri 65 Sijelling Kabupaten Bone. Pendekatan dan jenis penelitian yang digunakan dalam penelitian ini adalah kualitatif dekskriptif dengan pengumpulan data melalui wawancara, observasi dan pengisian angket. Hasil penelitian menunjukkan bahwa guru memiliki peran penting yaitu berperan sebagai pengajar yang menanamkan pengetahuan tentang nilai kearifan lokal, sebagai pendidik yang mendidik dan membantu siswa menerapkan nilai tersebut dan sebagai motivator yang memberikan semangat kepada siswa untuk mengimplementasikan nilai kearifan lokal pada pembelajaran mulok di sekolah tersebut seperti ada tongeng, lempu, getteng, sipakatau, sipakainge, sipakalebbi, assitinajang dan mappesonae ri dewata seuwwae. Pembelajaran yang berbasis kearifan lokal ini tidak hanya meningkatkan pemahaman siswa terhadap budaya lokal di daerahnya, tetapi juga membentuk karakter siswa yang berbudi pekerti luhur.
Evaluation of the Impact of SMOTEENN on Monkeypox Case Classification Performance Using Boosting Algorithms Siena, Laifansan; Saragih, Triando Hamonangan; Nugroho, Radityo Adi; Kartini, Dwi; Muliadi; Caesarendra, Wahyu
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 7 No. 2 (2025): May
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v7i2.77

Abstract

Monkeypox is a zoonotic disease with increasing global prevalence, posing a significant challenge in healthcare. Its widespread transmission necessitates more accurate detection systems to assist medical professionals in diagnosing and managing cases effectively. One of the main challenges in developing monkeypox prediction models is class imbalance in datasets, which can cause models to favor the majority class and reduce predictive accuracy for rarer cases. To address this issue, this study evaluates the effectiveness of the SMOTEENN resampling technique in improving the classification performance of monkeypox cases. Three boosting algorithms Gradient Boosting, XGBoost, and LightGBM were applied to a monkeypox dataset consisting of 25,000 samples. The data preprocessing steps included handling missing values, feature encoding, and feature scaling. The dataset was then balanced using SMOTEENN, a hybrid technique combining the Synthetic Minority Over-sampling Technique (SMOTE) and Edited Nearest Neighbors (ENN). Additionally, hyperparameter tuning with GridSearchCV was performed to optimize model performance by systematically selecting the best parameter combinations. The results indicate that applying SMOTEENN significantly improved classification accuracy, achieving a maximum of 69%, with an F1-score of 67%. Compared to previous studies, the proposed approach demonstrated superior performance in handling class imbalance and enhancing classification robustness. These findings highlight the potential of SMOTEENN and boosting algorithms in medical data classification, particularly for infectious diseases with imbalanced datasets. This study contributes to the development of more reliable machine learning techniques for improving disease detection, classification accuracy, and overall model generalization. Future research should explore additional resampling techniques, deep learning architectures, and feature selection methods to further improve predictive performance in medical diagnostics.
Tree Planting Program for Disaster Mitigation in South Pringgasela Village, Pringgasela District, East Lombok Regency Aldy Ramadhan; Yulia Azmi Khotimah; Sindi Hikmala; Rina Sasmita Alfani; Muliadi; Muhammad Marwin; M. Teguh Jaka Satya Samudra Jati Suara; Indah Nahdiat Isrori; Dini Rosyida; Desti Suci Safitri; Chalida Alfany; Akbar Prayoga; Syamsuddin Syamsuddin
Media for Empowerment, Mobilization, and Innovation in Research & Community Vol. 1 No. 1 (2025): January-June
Publisher : Future Tecno-Science Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/gkv45473

Abstract

South Pringgasela Village, located in Pringgasela District, East Lombok Regency, is one of the areas at risk of natural disasters such as landslides and floods. To support reforestation and disaster mitigation, community service activities have been carried out by students of the 2021-2022 Mataram University Community Service Program (KKN). This activity focuses on planting trees on empty land and road cliffs around the Pancor Kopong tourist area, including the Goa Kopong spring tourist location. Tree planting is carried out to increase soil resistance to erosion and create a greener environment. The process of implementing the activity involved coordination with various parties, including village officials, mosque youth, and the local community. A total of 150 tree seedlings were successfully planted, with a growth success rate of 86% based on post-activity evaluations. The results of this activity show a positive impact on the environment, such as increasing the aesthetics of the tourist area, reducing disaster risks, and increasing public awareness of the importance of environmental conservation. This reforestation activity is expected to be the first step to encourage active community participation in protecting the environment and become a model for implementing conservation-based community service. Furthermore, the success of this program can be an inspiration for other regions in implementing disaster mitigation strategies through reforestation.
Implementatiton of the Random Forest Regression Algorithm for Predicting Maize Yields Pyrda Monica; Muliadi; Abdul Rahman Patta
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 3 (2025): September 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i3.9540

Abstract

This study aims to implement the Random Forest Regression algorithm to predict maize yields in North Luwu Regency, South Sulawesi. Historical data from 2020–2024 were used, with variables including planting area, harvested area, productivity, and production. The study follows the CRISP-DM methodology, which includes the stages of business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Modeling was carried out using Google Colab with GPU/TPU support and Google Drive integration. The dataset was divided into 80% training data and 20% testing data. The model was developed with parameters such as max_depth = 10 and n_estimators = 200. Evaluation results indicated excellent performance, with an R² value of 0.9974, RMSE of 42.98 (4.02%), MAE of 26.188 (2.45%), and MAPE of 7.12%, all of which fall under the “excellent” category. The trained model was then integrated into a website to facilitate users in predicting maize production based on input variables. Questionnaire results from 10 respondents showed a very high satisfaction level, with an average score of 96.6%, classified as excellent.
Renewable Energy: A Cornerstone in The Transition Toward a Sustainable Future Jahada Haluti, Islamiyati; Muliadi; Sri Indah Setiyaningsih MSM; Baihaqi; Adean Mayasri
JKA Vol. 1 No. 2 (2024): JKA
Publisher : Bansigom Na Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26811/cv21ad86

Abstract

The transition toward a sustainable future is increasingly dependent on the integration of renewable energy sources. This article explores the pivotal role that renewable energy plays in achieving sustainability goals. It discusses various forms of renewable energy, including solar, wind, hydro, and geothermal power, and examines their potential to reduce carbon emissions and mitigate climate change. Additionally, the article addresses the economic and social benefits of renewable energy, such as job creation, energy security, and reduced reliance on fossil fuels. The challenges and barriers to widespread adoption are also considered, alongside potential solutions and policy recommendations. Ultimately, this article underscores the necessity of renewable energy as a cornerstone in building a sustainable and resilient future for all.
Co-Authors A.A. Ketut Agung Cahyawan W Abd. Hafid Abd. Rahman Patta Abdul Fattah Nasution Abdul Karim Abdul Latif Abdul Muis Mappalotteng Abner Bumbungan Achmad Rizal Adean Mayasri Adrianda, Irsan Agitha, Nadiyasari Ajrun Karim Akbar Prayoga Aldy Ramadhan Alifah Nur Alfiyyah Amani, Risca Amin, Kasma Amna, Nurlaila Andi Farmadi Andi Farmandi Andi Haldina Dwi Ramadhani Andi Ihwan Andriani, Cut Yessi Anjar Pranggawan Azhari Ardila Eltari Ningtiyas Arlina Arnita Asriadi Asyadi, Teuku Murisal Awal Nusantara Bayu Hadi Sudrajat Cahaya Maharani Sitompul Cahayani, An’gun Chalida Alfany Dedi Iskandar Desti Suci Safitri Difa Fitria Dini Rosyida Dira Ayu Annisa Dodon Turianto Nugrahadi Duyo, Rizal A Dwi Kartini Dwi Kartini, Dwi Emma Andini Erlianita, Noor Fadhli, Cut Fadillah, M. Surya Fahrul Rozi Fajriani Nurl, Anisa Fatma Indriani Fauzan Fridawati, Titit Friska Abadi Gugus Rahmadi Gunawan Gunawan, Khairol Hafid, Abd Halimah Hasibuan, Helviana Hasita Dwi Putri Hendrawan Herman, Marlinda Hermiati, Arya Syifa Herri Muliadi Huynh, Phuoc-Hai Indah Nahdiat Isrori Irensi Seppa, Yusi Irhami Irwan Budiman Irwan Budiman Itqan Mazdadi, Muhammad Jahada Haluti, Islamiyati Jamaludin, Masdar Joko Sampurno Khairun Nisa Marpaung Kholipatul Hasanah Kurnia Prima Putra Linda Kurnia Mustafa M. Fauzi Rifqi M. Teguh Jaka Satya Samudra Jati Suara Mahsur Marzuki Mashfufah Maulani Mochammad Imron Awalludin Muh. Ishak Jumarang Muh. Jaelani Suwardy Muhamad Fawwaz Akbar Muhammad Denny Ersyadi Rahman Muhammad Itqan Mazdadi Muhammad Latief Saputra Muhammad Marwin Muhammad Nadim Mubaarok Muhammad Reza Faisal, Muhammad Reza Muhardi Mulyantika, Dea Ambar Musa, Ratna Muzafar Nafis Satul Khasanah Nanda Wafiya Nannung, Jumita Nirwana, Hafsah Nugraha, Muhammad Amir Nurhastuti Nurlaila Amna Perdhana, Radhitya Pirjatullah Prastya, Septyan Eka Pyrda Monica Qaaf, Muhammad Alfath Radityo Adi Nugroho Rahmahtrisilvia Rahman Hadi Rahman Ramadhan, Rafsanjani Ramadhani, Maudy Reza Faisal, Mohammad Ridwan, M. Arif Rina Sasmita Alfani Risdawati, Irsyam Rivai, Andi Muhammad Riza Adriat Rizal, Agus Rosmalah Rudy Herteno Ruslan Sa'ban Miru, Alimuddin sahar, resti Saragih, Sry Ningsih Saragih, Triando Hamonangan Satria Putra, Yoga Siena, Laifansan Sindi Hikmala Siti Syarifah Wafiqah Wardah Sitti Jauhar, Sitti Situngkir, Andreas Henfri Sri Indah Setiyaningsih MSM Sudarto Syahrul Syamsuddin Syamsuddin Sylva Rahmah Hafiz Syukri Taufiq, Wildan Tengku Riza Zarzani N Tsaputra, Antoni Udin Sidik Sidin Ulantari Suhal Ulfa Khairina Uswatun Hasanah Wahyu Caesarendra Wahyu Hidayat M Wahyu Muhammad Abdul Wahid Wasik, Abdul Waulandari, Elysa Widia Rahayu Wisnu Bekti Nugraha Yulia Azmi Khotimah Yulisnaeni, Sri Yunida, Rahmi Yuris Sutanto Zamzam, Yra Fatria Zulfian Zulfian