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All Journal International Journal of Electrical and Computer Engineering POROS TEKNIK Jurnal Tugas Akhir Mahasiswa Lanting Jurnal Surya Medika Jurnal Nasional Komputasi dan Teknologi Informasi JKM (Jurnal Kebidanan Malahayati) AL-ULUM: JURNAL SAINS DAN TEKNOLOGI Jurnal IMPACT: Implementation and Action Progresif: Jurnal Ilmiah Komputer International Journal of Education, Science, Technology, and Engineering (IJESTE) Al-Kharaj: Journal of Islamic Economic and Business JTAM ROTARY Journal of Industrial Engineering and Operation Management (JIEOM) Jurnal Kebidanan Khatulistiwa Scientific ProBisnis : Jurnal Manajemen JRKN Dinamika Kesehatan: Jurnal Kebidanan dan Keperawatan Journal of Pharmaceutical Care and Sciences Jurnal Manajemen dan Bisnis Jurnal Teknik Mesin, Industri, Elektro dan Informatika Jurnal Pengabdian kepada Masyarakat (ABDIKEMAS) Journal of Advances in Medicine and Pharmaceutical Sciences Majalah Cendekia Mengabdi Jurnal Anestesi: Jurnal Ilmu Kesehatan dan Kedokteran Jurnal Farmasi SYIFA Jurnal Sains Farmasi dan Kesehatan Jurnal Ekonomi dan Bisnis Jurnal Ilmu Ekonomi dan Bisnis (JUKONI) Jurnal Ekonomi Syariah Midwifery And Complementary Care Interdisciplinary Explorations in Research Journal (IERJ) KREATIF: Jurnal Pengabdian Masyarakat Nusantara
Rizali, Muhammad
Universitas Sari Mulia
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Perbaikan dan Optimalisasi Desain Parkiran Ergonomis pada Universitas Sari Mulia Yolanda Patrisia; Muhammad Rizali; Ishlahuddin Abdullah; Muhammad Ari Kurniawan
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 6 (2024): Desember 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i6.8379

Abstract

Abstrak - Perguruan tinggi merupakan pendidikan setelah sekolah menengah atas. Perguruan tinggi dan pendidikan merupakan dua mata pisau yang tidak dapat dipisahkan sampai saat ini dan mengalami perkembangan yang sangat pesat pada pendidikan tinggi. Peningkatan jumlah mahasiswa yang tinggi memicu naiknya kebutuhan akan area parkir. Tujuan penelitian ini adalah untuk melakukan perbaikan dan optimalisasi layout tempat parkir dan kapasitas maksimum parkir di kamus Universitas Sari Mulia. Penelitian ini menggunakan teknik pengukuran langsung dilapangan dan pengumpualan data yang menggunakan kuesioner yang diisi oleh responden. Berdasarkan penelitian hasil dari analisis data yang telah dilakukan memperlihatkan bahwa. pada 30º dan sudut 45º para pengguna tempat parkir mengalami sedikit kesulitan dalam memarkir karna posisi tempat parkir yang terlalu miring. Sedangkan pada sudut 90º ini para pengguna harus memaju mundurkan sepeda motor terlebih dahulu agar tepat berada pada posisi tegak lurus. Dari semua item pertanyaan yang terdapat dalam kuesioner terbukti banyak pengguna tempat parkir memilih sudut 60º karena lebih mudah untuk masuk ataupun keluar area tempat parkir tanpa harus memaju mundurkan sepeda motor terlebih dahulu.Kata kunci: kapasitas maksimum, sudut parkir, universitas sari mulia Abstract - College is an education after high school. College and education are two sides of the same coin that cannot be separated until now and have experienced very rapid development in higher education. The high increase in the number of students has triggered an increase in the need for parking areas. The purpose of this study was to improve and optimize the layout of the parking lot and the maximum parking capacity in the Sari Mulia University dictionary. This study uses direct measurement techniques in the field and data collection using questionnaires filled out by respondents. Based on the research, the results of the data analysis that have been carried out show that. at 30º and 45º angles, parking lot users experience a little difficulty in parking because the position of the parking lot is too slanted. While at this 90º angle, users must move the motorbike forward and backward first so that it is in a perpendicular position. From all the question items contained in the questionnaire, it is proven that many parking lot users choose the 60º angle because it is easier to enter or exit the parking area without having to move the motorbike forward and backward first.Keywords: maximum capacity, parking angle, sari mulia university
Penerapan Sistem Pengembangan Produk dengan Metode Kanban Untuk Meningkatkan Industri Kain Sasirangan Yusri Yusri; Muhammad Rizali; Munawar Munawar; Hartati Hartati; Risma Liana Putri; M. Rifky Rais
KREATIF: Jurnal Pengabdian Masyarakat Nusantara Vol. 5 No. 1 (2025): Jurnal Pengabdian Masyarakat Nusantara
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/kreatif.v5i1.5673

Abstract

Sasirangan cloth is a traditional cloth typical of South Kalimantan which is full of cultural values ​​and the philosophy of the Banjar people. Despite its promising economic potential, many craftsmen still experience business sluggishness due to the lack of a structured development strategy. This program aims to implement the Kanban method to support the development of the sasirangan cloth industry, including the creation of derivative products as an alternative to regional souvenirs. Implemented in Banjarmasin and Banjar Regency in January-February 2025, activities include the application and socialization of the Kanban method to craftsmen of the Paguyuban Barakat Cangkal. The results are prototypes of derivative products such as miniatures of the Zero Kilometer Monument and the Observation Tower. Visualizing the production process through the Kanban method helps partners understand and be interested in implementing this system to increase the efficiency of their businesses.
Pemberdayaan Remaja Melalui Pelatihan Hormonal Awareness dan Kesehatan Reproduksi Berbasis Display Model 3D Fase Hormonal Friscila, Ika; Rizali, Muhammad; Wijaksono, M. Arief; Fitriani, Aida
Jurnal Pengabdian kepada Masyarakat (ABDIKEMAS) Vol 7 No 2 (2025): Jurnal Pengabdian kepada Masyarakat (ABDIKEMAS)
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat, Politeknik Kesehatatan Kemenkes Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36086/abdikemas.v7i2.3437

Abstract

Adolescence represents a critical phase of development, particularly concerning hormonal changes and reproductive health. It was observed that several female students were unable to accurately track their menstrual cycles, sometimes necessitating their early dismissal from school due to Premenstrual Syndrome (PMS). Open discussion regarding reproductive health content remains infrequent, with students often reporting feelings of awkwardness and a lack of confidence in engaging in such discussions. The program's primary objectives were to enhance awareness and understanding of hormonal phases and sexually transmitted infections (STIs), and to develop display model 3D-based educational media as a visual and interactive aid for comprehending the hormonal system. The activity was conducted at Senior High School, involving 80 female students as participants. The socialization material covered hormonal phases and STIs. To assess the level of understanding, pre- and post-tests were administered. The results indicated a significant increase in knowledge following the intervention. A key outcome of this program was the production and dissemination of new 2- and 3-dimensional hormonal display model designs, which were subsequently integrated as learning materials.
Systematic review of artificial intelligence applications in predicting solar photovoltaic power production efficiency Ikhsan, M. Rizki; Lakulu, Muhammad Modi; Pannesai, Ismail Yusuf; Rizali, Muhammad; Nugraha, Bayu; Swastina, Liliana
International Journal of Electrical and Computer Engineering (IJECE) Vol 16, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v16i1.pp463-476

Abstract

The global energy crisis and climate change demand more accurate and efficient renewable energy forecasting methods. Solar photovoltaic (PV) systems offer abundant clean energy but their efficiency is highly affected by weather variability, requiring advanced predictive models. This systematic review of 69 studies published between 2020 and 2024 evaluates artificial intelligence (AI) and machine learning (ML) applications in PV forecasting, with a focus on hybrid algorithms such as convolutional neural network-long short-term memory (CNN-LSTM). Results demonstrate that hybrid models consistently outperform traditional statistical methods and standalone AI approaches by capturing spatiotemporal patterns more effectively, achieving significant error reductions and improving reliability. A notable gap identified is the limited integration of consumer behavior into forecasting models, despite evidence that incorporating demand-side patterns enhances accuracy. Challenges also remain in data availability, scalability across diverse climates, and computational requirements. This review contributes by synthesizing recent advances and emphasizing consumer integration as an underexplored but critical dimension for future research. The findings provide a foundation for developing more precise, resilient, and scalable PV forecasting models, supporting optimized energy management and accelerating the transition toward sustainable energy systems.
Co-Authors , Normaliani Ahmad Nurwanto Aida Fitriani, Aida Ali Rakhman Hakim Annisa Anisykurlillah Arief Wijaksono, Muhammad Arsyad, Anshari Arsyad Aulia Rahmah Badrian Badrian Badrian Bayu Nugraha Carolina, Feliya D. R, Setia Riadi El Wafa, Faqih Esterlina, Maria Fithriana Syarqawie Hafidzi, Anwar Halimah, Mahda Hartati Hartati Hisanah Alpasa, Khairatun Ika Friscila Ika Friscila, Ika Ikhsan, M. Rizki Ishlahuddin Abdullah Iwan Yuwindry JAMILAH Juhdi, Muhammad Jumiati Jumiati Kamalia, Siti Nur Kurniawan, Muhammad Ari Lakulu, Muhammad Modi Liliana Swastina M. Rifky Rais Madschen Sia Mei Ol Siska Selvija Tambun Madschen Sia Mei Ol Siska Selvija Tambun Maskura, Nur Melli Anisa Putri Mia Audina, Mia Misransyah Akos Muhammad Naufal Muhammad Saleh Munawar Munawar Nastiti, Kunti NISPAN RAHMI Norlina Noval Noval Nur Hidayah Nurfansyah Nurfansyah Pajriah, Rihani Pannesai, Ismail Yusuf Radiansyah Risma Liana Putri Risma, Septy Nur Siska, Madschen Sia Mei Ol Susanti Suhartati, Susanti Tamini, Khairul Tanuputri, Elicia Tumanggor, Agustina Hotma Uli Umi Mahmudah Wafa, Faqih El Wijaksono, M Arief Wijaksono, M. Arief Wusko, Ikna Urwatul Yani, Anggeri Yolanda Patrisia Yusri Yusri Zahra, Pati Matu