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All Journal JURNAL SWARNABHUMI International Journal of Economics Development Research (IJEDR) Journal of Engineering and Information Technology for Community Service Journal of Engineering, Technology and Computing (JETCom) Indonesian Journal Computer Science (ijcs) Aurelia: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Jurnal Penelitian Belida Indonesia Jurnal Pengabdian Nasional (JPN) Indonesia JLAST Khazanah Journal of Religion and Technology
Zidan, Muhammad
Unknown Affiliation
Religion Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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BUDIDAYA IKAN NILA (Oreochromis niloticus) DENGAN MENGGUNAKAN MEDIA PEMELIHARAAN YANG BERBEDA Widaryati, Rustiana; Zidan, Muhammad; Amalia, Riska
Jurnal Penelitian Belida Indonesia Vol 4, No 1 (2023): Jurnal Penelitian Budidaya Ikan
Publisher : Politeknik Seruyan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59900/pbelida.v4i1.181

Abstract

Design and creation of a web-based coffee machine sales Information System at Pt. Nutraco Mesindotama Zidan, Muhammad; Fauziyah, Fauziyah; Zulkarnain, Iskandar
Journal of Engineering, Technology and Computing (JETCom) Vol. 3 No. 1 (2024): JETCom (March 2024)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/jetcom.v3i1.221

Abstract

PT Nutraco Mesindotama is a distributor of coffee machines with a wide range of automatic and semi-automatic coffee machines for homes, offices, cafes and hotels. The current problem at PT Nutraco Mesindotama is that there are frequent errors in recording sales and purchase transaction information. Inaccurate information regarding the availability of stock items is caused by the negligence of the sales department in recording the number of items that have been sold into the report book. To deal with these problems, a web-based coffee machine sales information system was designed and built using Unified Modeling Language (UML) system modeling, PHP as a programming language and MySQL as a database, so that the process of recording sales transactions and stock information becomes easier to use, accurate, and integrated.
Honing Public Speaking Abilities with Effective Speech Training and Practice in SMA YP Unila Woro Kasih, Elisabeth Ngestirosa Endang; Qodriani, Laila Ulsi; Gulo, Ingatan; Putra, A. Vahry Lilam; Jihantari, Dwi; Fernanto, Hanny Wulandari; Putra, Reza Adha; Putri, Adelia; Zidan, Muhammad; Novendra, Novendra
Journal of Engineering and Information Technology for Community Service Vol 2, No 4 (2024): Volume 2, Issue 4, April 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jeit-cs.v2i4.445

Abstract

This article helps High School students become ready for the abilities they’ll need in the future by highlighting the value of public speaking. In order for Senior High School students to succeed in both their personal and professional lives, the essay highlights the significance of public speaking. To that end, this article suggests a community service program that offers training in public speaking, lectures on the subject, and resources for boosting self-confidence. Qualitative methodologies and multiple Google Form questionnaires were used to evaluate the efficacy of this program. Feedback received from SMA YP UNILA students showed enthusiasm and interest in developing their public speaking skills. The results showed a positive impact in showing self-confidence through the ability to communicate well. Through this article, it can be concluded that by developing public speaking skills among high school students, it can prepare them to face the future and become individuals who are better prepared to face the advancement of the era.
DETEKSI MANIFESTASI PANAS BUMI MENGGUNAKAN CITRA LANDSAT 8 (STUDI KASUS KAWASAN GUNUNG PATUHA) Febga, Jarry; Zidan, Muhammad; Wangi, Garnis Pandan; Arifin, Efri Triana Nur
Jurnal Swarnabhumi : Jurnal Geografi dan Pembelajaran Geografi Vol. 7 No. 2 (2022): Jurnal Swarnabhumi : Jurnal Geografi dan Pembelajaran Geografi
Publisher : Geography Education Study Program, Faculty of Teacher Training and Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/swarnabhumi.v7i2.7392

Abstract

Energi panas bumi merupakan energi alternatif yang diharapkan dapat menjadi pasokan tambahan bagi sumber energi Indonesia. Namun pada kenyataannya Indonesia baru memanfaatkan 5,9% energi panas bumi yang ada. Tujuan dari penelitian ini dilakukan yakni mendeteksi manifestasi lokasi sebaran panas bumi di Kawasan Gunung Patuha dan membandingkan hasil analisis sebaran panas bumi pada penelitian sebelumnya yang menggunakan metode FFD dengan metode LST dengan citra Landsat 8 pada wilayah kajian yang sama yaitu Gunung Patuha. Pemetaan deteksi manifestasi panas bumi diperoleh dari overlay parameter kepadatan lurusan menggunakan metode Principal Component Analysis (PCA), suhu permukaan menggunakan metode Land Surface Temperature (LST) dan kerapatan vegetasi menggunakan metode Normalized Difference Vegetation Index (NDVI) lalu diolah menggunakan skoring dan pembobotan. Berdasarkan Hasil Visualisasi berupa peta potensi sebaran panas bumi terdapat tujuh area yaitu area A, area D, dan area E dengan kelas sedang - tinggi; area B dengan kelas sedang; area C, area G, dan area F dengan kelas sedang-sangat tinggi. Namun pengecualian untuk area F dan area G tidak terkonfirmasi sebagai potensi panas bumi karena terdapat pengaruh manusia, seperti pemukiman padat yang menyebabkan suhu permukaan meningkat. Hasil ini berbeda dari penelitian sebelumnya yang hanya mengidentifikasi 3 area.
How Tiktok Control Indonesia’s Market Through Tiktokshop Budiman, Athaya; Abdillah, Abdillah; Aisyah, Nadilatul; Zidan, Muhammad; Pratiwi, Dinda Puspita
JLAST : Journal of Law and Social Transformation Vol. 2 No. 2 (2024): Journal of Law and Social Transformation (JLAST)
Publisher : As- Sakinah Law Firm & Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jlast.2.2.21

Abstract

TikTok telah menjadi platform media sosial yang dominan di Indonesia, dengan memanfaatkan popularitasnya untuk memasuki pasar e-commerce melalui fitur TikTokShop. Fitur ini menghadirkan sebuah ekosistem yang mengintegrasikan konten video pendek dengan kemampuan berbelanja langsung, mengubah cara masyarakat Indonesia berinteraksi dengan produk dan merek. Studi ini mengeksplorasi bagaimana TikTokShop mempengaruhi perilaku konsumen dan dinamika pasar di Indonesia. Analisis dilakukan terhadap strategi pemasaran yang digunakan oleh merek, efektivitas promosi melalui konten video, dan respons konsumen terhadap produk yang ditawarkan melalui TikTokShop. Hasil penelitian menunjukkan bahwa TikTokShop telah berhasil mengubah paradigma tradisional berbelanja dengan menyediakan pengalaman yang lebih langsung dan interaktif. Hal ini meningkatkan keterlibatan konsumen dan memperluas jangkauan merek, terutama di kalangan generasi muda yang merupakan mayoritas pengguna TikTok di Indonesia.
Pengembangan Sistem Deteksi Objek Botol Real-Time dengan YOLOv8 untuk Aplikasi Vision Triyanto, Dedi; Zidan, Muhammad; Wahyudi, Mochamad; Pujiastuti, Lise; Sumanto, Sumanto
Indonesian Journal Computer Science Vol. 3 No. 1 (2024): April 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/ijcs.v3i1.6070

Abstract

Plastik daur ulang berperan penting dalam menanggulangi masalah limbah lingkungan sekaligus mendukung praktik keberlanjutan. Penelitian ini bertujuan mengembangkan sistem deteksi botol plastik dan kaleng daur ulang secara real-time menggunakan algoritma YOLOv8 yang terkenal akan kecepatan dan akurasinya. Dengan memanfaatkan dataset yang terdiri dari 2.900 gambar dan melatih model melalui Google Colab selama 25 epoch, penelitian ini berhasil menunjukkan performa luar biasa dari YOLOv8, dengan hasil mAP sebesar 99,5%, precision 99,7%, dan recall 99,5%. Model ini terbukti sangat efektif dalam mendeteksi objek daur ulang, memberikan prediksi yang tepat tanpa kesalahan negatif pada confusion matrix. Untuk penelitian lanjutan, disarankan menambah variasi kelas objek seperti botol kaca dan karet serta memperluas dataset guna meningkatkan generalisasi model. Selain itu, pengujian dalam kondisi nyata sangat diperlukan untuk memastikan kinerja optimal dalam lingkungan yang lebih kompleks. Pendekatan serupa dalam penelitian sebelumnya juga telah membuktikan kinerja unggul dalam deteksi real-time, menjadikan metode ini salah satu yang terdepan dalam pengembangan teknologi berbasis YOLO.
Technology in Learning in Rural Utilization Areas as an Alternative for Educational Development: Case Study of KKN at SDN Rancakole Malik, Miftahul; Dwiyanti, Ratna Alya; Azzahra, Nanda Nur; Agustiansyah, Rizky; Zidan, Muhammad; Maesaroh, Siti; Maulana, Reza Aditia; Fadhila, Dehya Nisrina; Nurhikmah, Ima; Sunarti, Pipit; Ichsan, Muhammad
AURELIA: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Vol 4, No 1 (2025): January 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/aurelia.v4i1.4273

Abstract

Education is the main foundation for shaping quality and competitive human resources. However, there are disparities in access to and quality of education between urban and rural areas in Indonesia. This article discusses the implementation of Community Service Learning (KKN) conducted by students of the Islamic University of Nusantara at SDN 2 and SDN 3 Rancakole, Arjasari District, Bandung Regency, from August to September 2024. This activity aims to integrate technology into the learning process to address educational challenges in rural areas. Through a qualitative approach, this research evaluates the impact of technology application in learning as well as the challenges faced. The results indicate that the use of technology, such as projectors and digital learning media, can enhance student participation and motivation to learn. Additionally, training for teachers and students on the utilization of technology is also key to improving education quality. It is hoped that this innovation can serve as a model for educational development in remote areas.
The Effect of Perceived Value and Brand Image on Customer Loyalty With Customer Satisfaction as Intervening Variable for Aerostreet Products Zidan, Muhammad; Udayana, Ida Bagus Nyoman; Cahya, Agus Dwi
International Journal of Economics Development Research (IJEDR) Vol. 5 No. 4 (2024): International Journal of Economics Development Research (IJEDR)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ijedr.v5i4.6235

Abstract

With customer satisfaction acting as a mediating variable, this study examines the impact of perceived value and brand image on customer loyalty with a focus on Aerostreet products in Klaten, Central Java. Data from 118 individuals were collected via a Google Forms questionnaire utilizing non-probability and purposive sampling techniques, and path analysis was used for analysis. The results show that brand image and perceived value are not directly related to customer pleasure or loyalty. However, consumer happiness is directly impacted by brand image, and customer loyalty is therefore affected by this relationship. These findings suggest that while perceived value and brand image might not cause loyalty directly, a strong brand image raises customer satisfaction, which in turn encourages loyalty.
Dongeng Boneka sebagai Media Edukasi: Implementasi Modul Pencegahan Kekerasan Seksual oleh Kakak Aman Indonesia di SDN Kaloran Kidul Kota Serang Zidan, Muhammad; Siregar, Herlina; Pertiwi, Fitri; Maysara, Siska Resti
Jurnal Pengabdian Nasional (JPN) Indonesia Vol. 6 No. 2 (2025): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jpni.v6i2.1461

Abstract

This The issue of sexual violence against children remains a serious and often overlooked challenge, particularly at the elementary school level. Prevention efforts must be carried out through educational and communicative approaches, tailored to the psychological developmental stages of children. This community service activity aims to implement a sexual violence prevention module developed by the Kakak Aman Indonesia organization, utilizing puppet storytelling as the main medium at SDN Kaloran Kidul, Serang. The implementation process included storytelling sessions, presentations on sexual education—such as understanding private body parts that should not be touched by others and what to do when experiencing sexual violence or harassment—singing educational songs about sexual violence which were specifically adapted by Kakak Aman Indonesia), and was concluded with interactive games. The use of puppet storytelling was chosen due to its narrative and visual strengths, which are effective in capturing children's interest while delivering self-protection messages in a gentle yet impactful way. Based on the results, students showed increased understanding of personal body boundaries, the importance of saying “no” to inappropriate touches, and the ability to recognize risky or unsafe situations. Teachers also responded positively, recognizing the media as a fun and value-rich learning tool.These findings suggest that puppet storytelling is an effective, child-friendly, and easily applicable medium in efforts to prevent sexual violence. Through a simple yet meaningful approach, this method creates a safe and enjoyable space for children to learn how to protect themselves. This small effort is hoped to be a starting point toward the realization of a school environment that is more aware, caring, and free from violence.
Sharia Stock Investment Decision Making Using the Deep Recurrent Q-Network Model Rus'an, Jasmein Al-baar Putri; Zidan, Muhammad; Raihan, Muhammad Arkan; Sukarya, Marleni; Rafiudin, Sendi Ahmad
Khazanah Journal of Religion and Technology Vol. 3 No. 1 (2025): June
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kjrt.v3i1.1706

Abstract

This study aims to design and evaluate a Deep Recurrent Q-Network (DRQN) agent for automated trading decision-making on Islamic stocks, training it with daily historical price data from the Indonesian Islamic Stock Index (ISSI) and integrating a Long Short-Term Memory (LSTM) layer. Although the agent successfully learns a profitable strategy during the training phase, on unseen test data, it exhibits passive behavior by only choosing the 'hold' action, resulting in zero profit—a phenomenon known as policy stagnation. This finding indicates that the used reward function implicitly encourages excessive risk aversion. The study concludes that the success of the DRQN architecture relies heavily on sophisticated reward engineering, underscoring the need for future research on dynamic and adaptive reward mechanisms to develop robust and generalizable trading agents in the complex Islamic finance domain.
Co-Authors Abdillah Abdillah Agus Dwi Cahya Agustiansyah, Rizky Aisyah, Nadilatul Arifin, Efri Triana Nur Azzahra, Nanda Nur Budiman, Athaya Dedi Triyanto Dwiyanti, Ratna Alya E Ngestirosa Endang Woro Kasih Fadhila, Dehya Nisrina Fauziyah Febga, Jarry Fernanto, Hanny Wulandari Gulö, Ingatan Herlina Siregar, Herlina Ida Bagus Nyoman Udayana Iskandar Zulkarnain Jihantari, Dwi Maulana, Reza Aditia Maysara, Siska Resti Miftahul Malik Mochamad Wahyudi Muhammad Ichsan Novendra, Novendra Nurhikmah, Ima Pertiwi, Fitri Pratiwi, Dinda Puspita Pujiastuti, Lise Putra, A. Vahry Lilam Putra, Reza Adha Putri, Adelia Qodriani, Laila Ulsi Rafiudin, Sendi Ahmad Raihan, Muhammad Arkan Riska Amalia Rus'an, Jasmein Al-baar Putri Rustiana Widaryati Siti Maesaroh Sukarya, Marleni Sumanto Sumanto Sunarti, Pipit Wangi, Garnis Pandan