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All Journal Tadris: Jurnal keguruan dan Ilmu Tarbiyah Seminar Nasional Pengabdian Kepada Masyarakat Journal of Mathematics Instruction, Social Research and Opinion Jurnal Pendidikan Terapan Jurnal Pengabdian Masyarakat Journal of Embedded Systems, Security and Intelligent Systems INDOPEDIA (Inovasi Pembelajaran dan Pendidikan) Jurnal MediaTIK Journal of Electrical Engineering and Informatics Jurnal MEKOM: Media Komunikasi Pendidikan Kejuruan Media Elektrik Jurnal Education
Edi Suhardi Rahman
Universitas Negeri Makassar
Humanities Chemistry Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Journal : Media Elektrik

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PENGEMBANGAN APLIKASI PEMILIHAN PROGRAM STUDI BAGI CALON MAHASISWA PADA SMA SWASTA MUHAMMADIYAH BENTENG Muhammad Ihsan Maro; Mursyid Ardiansyah; Abdul Ma’arief Al Imran; A. Astri Surya Ramadani; Edi Suhardi Rahman
Jurnal Media Elektrik Vol. 20 No. 3 (2023): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v20i3.5573

Abstract

Penelitian ini bertujuan mengembangkan aplikasi untuk pemilihan program studi melalui serangkaian tahapan, mulai dari identifikasi masalah hingga desain dan pengembangan sistem. Aplikasi tersebut memfasilitasi pengguna dalam memilih program studi dengan mempertimbangkan faktor seperti jurusan, rumpun ilmu, sub rumpun ilmu, dan bidang ilmu. Pengembangan front-end dilakukan dengan memanfaatkan teknologi HTML5, CSS, dan JavaScript, sedangkan back-end dikerjakan menggunakan PHP dan MySQLi dengan menerapkan metode Forward Chaining. Uji coba sistem dilakukan melalui pengujian Black Box dengan menguji 5 skenario yang telah ditetapkan, dan hasilnya menunjukkan kelancaran dalam fungsionalitas sistem. Aplikasi diuji oleh 20 siswa dari SMA Swasta Muhammadiyah Selayar, dengan rincian 6 berasal dari jurusan IPA dan 14 dari IPS. Dalam implementasinya, siswa memilih program studi, dan hasilnya mengungkapkan bahwa Ilmu Manajemen dan Ilmu Ekonomi menjadi pilihan terbanyak. Penelitian ini memiliki potensi sebagai referensi bagi pembaca yang ingin mengembangkan aplikasi serupa. Selain itu, konsep aplikasi ini juga dapat diterapkan dalam pengembangan berbasis Android, serta dapat diadaptasi untuk berbagai jurusan, termasuk di lingkungan SMK.
PENGEMBANGAN APLIKASI PRESENSI MENGAJAR DOSEN PADA PROGRAM STUDI ILMU KOMPUTER INSTITUT TEKNOLOGI SAINS DAN BISNIS MUHAMMADIYAH SELAYAR Abdul Ma’arief Al Imran; Edi Suhardi Rahman
Jurnal Media Elektrik Vol. 20 No. 3 (2023): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v20i3.5574

Abstract

Presensi kehadiran merupakan aspek penting yang harus diperhatikan. Presensi dosen menjadi tolok ukur sejauh mana kehadiran dosen dalam menyampaikan materi kepada mahasiswa. Presensi kehadiran dosen merupakan salah satu penunjang yang dapat diartikan sebagai informasi tentang bagaimana kedisiplinan dosen pengampu yang bersangkutan. Selain itu, penting adanya informasi kehadiran bagi pimpinan untuk mengetahui dan memantau kehadiran dosen pengampu di kampus secara real-time. Penelitian ini bertujuan untuk mengembangkan sebuah aplikasi/perangkat lunak presensi mengajar dosen pada Program Studi Ilmu Komputer Institut Teknologi Sains dan Bisnis Muhammadiyah Selayar dan untuk mengetahui kualitas perangkat lunak yang dikembangkan ditinjau dari aspek validitas, kepraktisan, dan keefektifan penggunaan Aplikasi Presensi Mengajar Dosen Pada Program Studi Ilmu Komputer Institut Teknologi Sains dan Bisnis Muhammadiyah Selayar. Metode yang digunakan pada penelitian ini adalah metode Research and Development (R&D) dengan model pengembangan waterfall yang terdiri atas lima langkah yaitu, analisis dan definisi kebutuhan, desain sistem dan perangkat lunak, implementasi dan pengujian unit, integrasi dan pengujian sistem, dan operasi dan pemeliharaan. Hasil dari penelitian ini menunjukkan bahwa hasil pengujian validitas yang dilakukan oleh dua validator menunjukkan perangkat lunak yang dikembangkan termasuk pada kategori sangat valid. Berdasarkan hasil pengujian tingkat kepraktisan dan keefektifan berdasarkan aspek kemudahan penggunaan, ketepatan penggunaan, dan kepuasan, menunjukkan hasil perangkat lunak yang dikembangkan termasuk pada kategori sangat praktis dan efektif.
EVALUATION OF ROOFTOP SOLAR POWER PLANT (PLTS) WITH ON GRID SYSTEM (CASE STUDY AT SMKN 3 MAKASSAR) Yusuf Mappeasse, Muhammad; Suhardi Rahman, Edi; Mega Putri Pamuso , Noviola
Jurnal Media Elektrik Vol. 22 No. 2 (2025): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v22i2.4532

Abstract

This research is quantitative descriptive research that aims to determine the results of the evaluation of the PLTS system at SMKN 3 Makassar and also find out what factors affect the feasibility of this renewable energy power plant. Rooftop solar power plant with on-grid system is a system consisting of solar panels installed on the roof of a building that is directly connected to the PLN network, this system makes a building produce its own electricity from sunlight. This research uses documentation and observation methods carried out by direct observation of the PLTS distribution panel and also making observations on the conductor system and cross section. PLTS with polycrystalline type panels usually have an efficiency of around 13% to 16% and based on the results of this study, the lowest efficiency calculation results were obtained on Tuesday, 26 September 2023 operating hours 12.00 with a frequency of 50 Hz, light intensity of 915 W/m2, with a data value of 5773.1 kWh out and 41,450 kWh incoming power with a PLTS efficiency of 13%. Then the highest efficiency calculation occurred on Friday, 06 October 2023 with a frequency of 50 Hz, light intensity of 770 W/m2, with an outgoing data value of 5817.2 kWh and an incoming power of 20,000 kWh with a PLTS efficiency of 29%, therefore it can be concluded that the on-grid rooftop PLTS at SMKN 3 Makassar has a very good ability to convert solar energy into energy.
BEEF QUALITY DETECTION APPLICATION USING CONVOLUTIONAL NEURAL NETWORK Nurrahman Qishas. H, A.M; Abdul Djawad , Yasser; Suhardi Rahman, Edi
Jurnal Media Elektrik Vol. 22 No. 2 (2025): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v22i2.7464

Abstract

Beef consumption in Indonesia increases every year, but this high demand triggers traders to cheat by selling meat that is not fit for consumption, such as rotten meat. This endangers public health and raises concerns, such as the case of the discovery of rotten meat in Makassar. To help people recognise the quality of beef, this research develops a beef quality detection application using the Convolutional Neural Network (CNN) method with Edge Impulse Studio. This application was developed using a prototype model and Research and Development (R&D) method at the Electrical Engineering Laboratory of Makassar State University. Tests showed a model accuracy rate of 99% and test accuracy of 99.17%. Evaluation based on ISO 25010 includes four aspects: functional suitability reached 100% according to the validator lecturer, usability with 97% response proportion, performance efficiency with ±85% CPU usage and 83.3 MB memory, and portability which shows the application runs well on various Android versions. Compatibility was tested by running the application simultaneously with other applications, and the results remained optimal. This application provides a practical solution to detect beef quality quickly and accurately, helping people prevent health risks due to consumption of unfit meat.
Development of Sentence Similarity Detection Application with Semantic Similarity and Machine Learning Approaches (Case Study: Student Thesis Title) Suhardi rahman, Edi; Iswal Burhan, Muhammad; T Mangesa, Riana
Jurnal Media Elektrik Vol. 23 No. 1 (2025): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v23i1.10503

Abstract

This study aims to develop an intelligent application for detecting the semantic similarity of undergraduate thesis titles using Natural Language Processing and machine learning techniques. The need for this system arises from the growing number of thesis title submissions in Indonesian universities, which increases the risk of duplication and challenges the effectiveness of manual novelty-verification processes. The development follows a Research and Development (R&D) approach consisting of needs analysis, NLP model development, implementation, and evaluation. A dataset of 114 thesis titles was collected from official academic archives, with 87 titles remaining after data cleaning for the model benchmarking. The Sentence-BERT (IndoSBERT) model is used as the core of the semantic similarity engine, achieving an accuracy of 93% and an F1-score of 0.90, outperforming traditional approaches such as TF-IDF and LSA. System evaluation was conducted based on ISO/IEC 25010, showing strong performance in functional suitability, time behavior (average response time 1.82 s), reliability (100% uptime/24 h), and usability evaluated by 25 respondents using the SUS instrument (score = 80, excellent). The results indicate that the proposed system can significantly assist study programs in identifying potential topic duplications and strengthening academic governance. However, the limited dataset size and single-domain scope (engineering and informatics education) restrict the model’s generalizability. Future development may include larger multi-domain datasets and broader novelty evaluation coverage, such as proposals and abstracts. This study contributes to practical automation support and technological innovation for academic quality assurance.
Co-Authors A. Astri Surya Ramadani Abdan Syakur, Abdan Abdul Djawad , Yasser Abdul Haliq Abdul Ma’arief Al Imran Abdul Muis Mappalotteng Adriyansah Adriyansah Ahmad Hidayat Adam Ahmad Muflih Akbar Jafar Al Imran Al Imran, Abdul Ma’arief Alfiya NFH Alifya NFH Alifya NFH Alifyah NFH Alisa Yuliarsih Almunawati, Natasya Amal Akbar Amukune, Stephen Andi Imran Anjas Mara Anzar Anzar, Anzar Aqsha, Ismail Arifiyanti, Fitria Aryandani, Nurhadits Carella Asis Nojeng Aspandi, Ade Aulia, Wilda Ayu Tri Wardani Ayu Tri Wardani Baharman Baharman, Baharman Bakri, Hasrul Baso, Fadhlirrahman Dandi Dandi Darmawan, Fitrah Dasmayanti Lestari Dewi Fatmarani Surianto Dyah Vitalocca Dyah Vitaloka Fajryanisari , Indah Fathahillah Fathahillah Firdaus Firdaus Gowa, Srijadi Hafid, Ichsan Kamil A Haripuddin . Haripuddin Haripuddin Hasrul Hasrul Helda Ibrahim Herawati Herawati Hisyam, Muhammad Fadhil I Nyoman Adi Putra Iswal Burhan, Muhammad Iwan Suhardi Jamaluddin Jamaluddin Jumadi Mabe Parenreng Karim, Sugeng A Karim, Sugeng A. M. Miftach Fakhri Mangesa, Riana T Massikki, Massikki Mega Putri Pamuso , Noviola Miftahul Khair Mahpul Muh Nasir Malik Muh Usman Mustari Muh. Iswal Burhan Muh. Nasir Malik Muh. Usman Mustari Muhammad Ihsan Maro Muhammad Ihsan Maro Muhammad Yusuf Mappeasse Muis Mappalotteng , Abdul Muliana, Hanana Mursyid Ardiansyah Namira Aprisani Namirah Aprisani NFH, Alifya Ni Komang Yuliani Nur Luthfiyani Fajrin Mima Nurfitrah Sasrianita Nurfitrah Sasrianita Nurhusna Nurrahman Qishas. H, A.M Nurul Iftitah Mutmainnah Ismail Nurul Mukhlisa Abdal Nurul Mukhlisa Abdal Ramadani, A. Astri Surya Riana T Mangesa Riana T. Mangesa Riana T. Mangesa Rusdin, Rosmala Ruslan Ruslan Ruslan Ruslan S Lamada, Mustari S, Aprilianti Nirmala Syacitra Arli S Syacitra Arli S Syahrul Syahrul Syarifuddin Kasim T Mangesa, Riana Taris, Lu'mu Tjandi, Yunus Uleng, A. Pattapari Wardani, Ayu Tri Widiya, Citra Wiwi Arianti Yasdin, Yasdin Yusuf Mappeasse, Muhammad Zainuddin, Zainuddin Zulhajji, Zulhajji