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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) Angkasa: Jurnal Ilmiah Bidang Teknologi Buletin Ilmiah Sarjana Teknik Elektro International Journal of Engineering, Technology and Natural Sciences (IJETS) Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Jurnal Elektro Kontrol (ELKON) Jurnal Abdi Rakyat
Ikrima Alfi
Universitas Teknologi Yogyakarta
Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Social Sciences Other

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KOMPARASI PERFORMA JARINGAN ANTARA PENYEDIA LAYANAN SELULER 4G LTE DI AREA KOTA YOGYAKARTA Ari Sugiharto; Ikrima Alfi
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 11, No 1 (2019): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (645.636 KB) | DOI: 10.28989/angkasa.v11i1.397

Abstract

Teknologi telekomunikasi seluler telah berkembang ke generasi keempat, yaitu jaringan 4G. Meskipun hampir semua operator penyedia layanan telekomunikasi seluler telah menyatakan bahwa mereka siap dengan jaringan 4G, pada kenyataannya, tidak semua area di kota Yogyakarta tercakup oleh layanan jaringan 4G. Kondisi ini dikeluhkan oleh banyak pengguna. Kinerja jaringan 4G di wilayah Yogyakarta perlu ditelusuri lebih lanjut sehingga pemanfaatannya lebih optimal dan tidak mengecewakan pengguna jaringan. Penelitian ini menganalisis kinerja jaringan 4G LTE dari berbagai operator layanan telepon seluler di wilayah Kota Yogyakarta, diwakili oleh dua operator. Parameter kinerja yang diukur adalah Daya Sinyal Referensi yang Diterima (RSRP) dan Kualitas Referensi Sinyal yang Diterima (RSRQ). Dalam studi ini tes drive dilakukan untuk menentukan kualitas sinyal seluler di berbagai daerah yang mewakili daerah perkotaan, suburban dan perkotaan padat di kota Yogyakarta. Dari hasil pengukuran tes drive, kesimpulan dari hasil tes untuk operator A, RSRP nilai maks -57dBm, RSRP min -117 dBm, RSRP rata-rata -85.35dBm, RSRQ max -4 dBm, RSRQ min -23 dBm, dan RSRQ rata-rata -13,02 dBm. Sedangkan untuk operator B diperoleh nilai maks RSRP -51 dBm, RSRP min -105 dBm, RSRP rata-rata 76,92 dBm, RSRQ max -4 dBm, RSRQ min -21 dBm, dan RSRQ rata-rata -8,94 dBm.
Teknologi Augmented Reality untuk instalasi kelistrikan gedung Ari Sugiharto; Ikrima Alfi; Suwirno Suwirno
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 14, No 2 (2022): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v14i2.1220

Abstract

The electrical installation stage in the process of building construction have risks to work safety and the operation of the results if the work is not following the General Electrical Installation Requirements (PUIL). This study aims to apply the development of Augmented Reality (AR) technology to provide convenience in the process of working on the electrical installation. Development of AR-based applications by utilizing android-based mobile phone devices which are now commonly owned by the public. The research was conducted by analyzing the electrical installation system in accordance with PUIL standards and its application in an easy-to-understand format, then processing electrical component data as input for 3D objects. Furthermore, the technical data of the building is used to produce AR applications that can be applied to the location of electrical installation work. The application that was built was successfully implemented on an Android-based cellular phone device. The rear camera is used to detect markers as triggers for the emergence of 3D objects in the form of electrical networks and electrical installation components. There are also info features and 3D object animations, as well as video calls as an alternative option for assistance if there are problems during electrical installation work.
Visual Studio Application for Generation Power System Reliability Calculations Ikrima Alfi; Rifqi Fauzan Kusmayana
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 1 (2023): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v5i1.7076

Abstract

Power system reliability is affected by the reliability of its sub-systems, including generator reliability. The reliability of a power plant can be seen, among others, based on the LOLE (Loss of Load Expectation) index. Processing and calculating data using excel or matlab will take a lot of time and effort.  This is unfavorable for system evaluation which is a routine activity. The contribution of this research is to create an easy data processing method with a user-friendly display using Java programming-based Visual Studio. The research data uses generator operating data in 2018 and 2019 Hydroelectric Power Plant Ir. H. Djuanda. Calculations using visual studio have been validated with calculations using Excel. LOLE calculation results in 2018 was 0.17356748092842464 days/year and for 2019 it produced a LOLE of 0.006204969593183424 days/year. The results obtained did not exceed the PLN standard, namely 1 days/year, in other words, in 2018 and 2019 Hydroelectric Power Plant Ir. H. Djuanda has a good level of reliability.
Predicting Wind Turbine Scheduling Maintenance Using Artificial Neural Network for Preventing Blade Breakage: Case Study Baron Techno-Park Fredi Prima Sakti; Haidar Rahman; Ikrima Alfi; Ridwan Budi Prasetyo
Jurnal Internasional Teknik, Teknologi dan Ilmu Pengetahuan Alam Vol 3 No 1 (2021): International Journal of Engineering, Technology and Natural Sciences
Publisher : University of Technology Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (324.559 KB) | DOI: 10.46923/ijets.v3i1.115

Abstract

One of the main issue that Baron Techno-Park (hybrid power plant) is facing are the practices of finding a suitable maintenance strategy. Operation and maintenance (O&M) of wind turbines are heavily affected by weather condition, particularly wind conditions. Blade failures, such as blade breakages, can lead to catastrophic consequences. The causes of blade breakages in Baron Techno-Park is due to unpredictable high wind speed from different directions. A technique that this research propose to implement a maintenance strategy in order to create an efficient O&M and also prevent the breakage of the wind turbine blades, is by using the Artificial Neural Network (ANN). ANN performance is satisfactory with the wind speed error of 30.25 % and wind direction error of 13.74 %. Also, R2 has a highest prediction of 0.998. Analyzing the survival wind speed of 60 m/s which is specify in the wind turbine specification. Analyzing the prediction results. It is safe to say that during the month of July 2021, it is not necessary for a maintenance schedule.
Rancang Bangun Alat Penyemprotan Pestisida Organik Dalam Perkebunan Cabai Menggunakan Tenaga Surya Rifqi Ahmad Afandi; Sandy Ikhwanul Attar; Anivan Aditia; MS Hendriyawan Achmad; Ikrima Alfi
Voteteknika (Vocational Teknik Elektronika dan Informatika) Vol 12, No 4 (2024): Vol. 12, No 4, Desember 2024
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/voteteknika.v12i4.131140

Abstract

Perkebunan cabai di Indonesia berkontribusi signifikan pada sektor hortikultura, tetapi sering menghadapi tantangan penggunaan pestisida yang tidak efisien, yang berdampak negatif terhadap lingkungan. Penggunaan pestisida yang tidak terkontrol dapat menimbulkan dampak buruk terhadap lingkungan. Oleh karena itu, penelitian ini berfokus pada pengembangan sistem penyemprotan pestisida otomatis berbasis tenaga surya dan Internet of Things (IoT). Sistem ini menggunakan panel surya sebagai sumber energi utama, sensor ultrasonik untuk deteksi cairan, dan mikrokontroler WeMos D1 R1 yang dikendalikan melalui protokol MQTT untuk monitoring jarak jauh. Hasil pengujian menunjukkan bahwa sistem penyemprotan pestisida otomatis beroperasi secara efisien dalam kondisi cuaca yang mendukung. Rata-rata tegangan, arus, dan daya yang dihasilkan panel surya selama tujuh hari percobaan masing-masing mencapai 13 Volt, 0,289 Ampere, dan 3,96 Watt. Fluktuasi output terjadi akibat variasi kondisi cuaca di Yogyakarta, seperti cerah, mendung, dan hujan, dengan output tertinggi tercatat pada hari ketujuh. Selain itu, akurasi sensor ultrasonik HY-SR04 dan ketepatan respon sensor mencapai tingkat keakuratan 100%, menunjukkan kinerja optimal alat sesuai desain. Sistem ini menawarkan solusi berkelanjutan bagi petani dengan efisiensi yang tinggi, meskipun masih memerlukan pengembangan energi cadangan untuk mengurangi ketergantungan pada cahaya matahari.Kata kunci : Penyemprotan Pestisida, Otomatisasi, Tenaga Surya, Internet of Things, Pertanian.Chili plantations in Indonesia contribute significantly to the horticultural sector but often face challenges in inefficient pesticide use, which negatively impacts the environment. Uncontrolled pesticide application can cause serious environmental harm. Therefore, this study focuses on developing an automatic pesticide spraying system powered by solar energy and integrated with the Internet of Things (IoT). The system utilizes solar panels as the primary energy source, ultrasonic sensors for liquid detection, and a WeMos D1 R1 microcontroller controlled via the MQTT protocol for remote monitoring. The testing results indicate that the automatic pesticide spraying system operates efficiently under favorable weather conditions. Over seven days of testing, the solar panel produced an average voltage, current, and power output of 13 Volts, 0.289 Amperes, and 3.96 Watts, respectively. Output fluctuations occurred due to varying weather conditions in Yogyakarta, including sunny, cloudy, and rainy days, with the highest output recorded on the seventh day. Additionally, the ultrasonic sensor HY-SR04 demonstrated a 100% accuracy rate in liquid level detection and response precision, confirming the system's optimal performance as designed. This system offers a sustainable solution for farmers with high efficiency, although further development of backup energy sources is needed to reduce dependency on sunlight.Keywords: Pesticide Spraying, Automation, Solar Energy, Internet of Things, Agriculture
Implementasi Sistem Pengendalian Hama Kopi dengan Sumber Daya Panel Surya Berbasis IoT Wahyu Sulastri; Ilham Saputro; Kartika Syifa; Ikrima Alfi; Ahmad Tri Hidayat
Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Vol. 6 No. 1 (2026): Mei 2026 - Abdiformatika: Jurnal Pengabdian Masyarakat Informatika
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/abdiformatika.v6i1.294

Abstract

Kopi merupakan salah satu komoditas ekspor unggulan di Indonesia, namun produktivitas dan kualitas biji kopi sering menghadapi ancaman serius dari berbagai jenis hama seperti hypothenemus hampei (H. hampei). Meskipun penggunaan pestisida kimia umum dilakukan untuk pengendalian hama, metode ini menimbulkan dampak negatif bagi lingkungan dan kesehatan. Untuk itu diperlukan pengendalian hama yang ramah lingkungan. Pengabdian ini bertujuan untuk mengenalkan teknologi dalam pertanian dengan mengembangkan alat pembasmi hama menggunakan insect light trap dan kawat listrik dengan sumber daya panel surya berbasis IoT. Program pengabdian masyarakat ini telah berhasil menerapkan sistem pembasmi hama yang ramah lingkungan. Penerapan sistem ini membuka wawasan petani bahwa teknologi yang diterapkan pada bidang pertanian lebih efektif dan sangat mempermudah kinerja petani.
Workshop Pengolahan Data Nilai Siswa Menggunakan Microsoft Excel di SD Negeri Jumeneng Anita Fira Waluyo; Irma Handayani; Ikrima Alfi; Wahyu Sri Utami; Farida Ardiani; Selfi Artika
Jurnal ABDI RAKYAT Vol. 1 No. 1 (2024): JURNAL ABDI RAKYAT
Publisher : Universitas Teknologi Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46923/jar.v1i1.293

Abstract

Workshop on processing student grades data using Microsoft Excel is a training activity that aims to introduce the use of Microsoft Excel in managing and analyzing student grades data effectively. This workshop is aimed at teachers at SD Negeri Jumeneng with the aim of increasing their understanding of using Excel as a tool for processing data. In this workshop, the participants will be given an explanation regarding the use of Excel in processing student grade data. The material includes an introduction to relevant basic Excel formulas such as SUM, AVERAGE, MAX, MIN, IF, and others. In addition, participants will also be given guidance on graphing student grade data using Excel. This workshop was carried out through a practical approach by providing training to participants to apply Excel formulas and functions in processing student value data. It is hoped that this workshop will provide significant benefits for teachers at SD Negeri Jumeneng in managing and analyzing student grade data more efficiently using Microsoft Excel.
Implementasi Canva Dalam Peningkatan Pembelajaran di SDN Gabahan Anita Fira Waluyo; Irma Handayani; Ikrima Alfi; Wahyu Sri Utami; Anna Dina Kalifia; Selfi Artika
Jurnal ABDI RAKYAT Vol. 2 No. 1 (2025): JURNAL ABDI RAKYAT
Publisher : Universitas Teknologi Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46923/jar.v2i1.484

Abstract

The main challenge faced by educators in the current digital era is creating interesting and informative learning materials. Graphic design plays an important role in creating effective learning materials. As an easy-to-use graphic design platform, Canva can be an effective solution to meet these needs. Using Canva in graphic design to create learning materials is a community service that aims to improve the quality of learning materials by utilizing the Canva graphic design platform. This research aims to provide tools and knowledge for educators in creating interesting and informative learning materials. This training was carried out using interactive lecture methods, direct practice and question and answer. The measurement of the results achieved is an increase in educators' skills and understanding in using Canva for graphic design. This is proven by the quality of the learning materials produced after the training. Evaluation of the learning materials that have been created also shows improvements in visual appeal, message clarity and overall learning effectiveness. Thus, the use of Canva in graphic design for creating learning materials has had a positive impact in improving the quality of learning and students' learning experiences.
SISTEM MONITORING DAN KENDALI STABILIZER TEGANGAN LISTRIK BERBASIS INTERNET OF THINGS Shinji Febriyanto; Ikrima Alfi; Ari Sugiharto; Satyo Nuryadi
Jurnal Elektro Kontrol (ELKON) Vol. 6 No. 1 (2026): Jurnal ELKON
Publisher : Teknik Elektro Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/elkon.v6i1.17479

Abstract

Ketidakstabilan tegangan listrik dari PLN merupakan permasalahan krusial yang dialami oleh konsumen listrik terutama yang mempunyai peralatan yang sensitif seperti di Servis Java Elektronik. Ketidakstabilan tegangan listrik berakibat pada kerusakan peralatan kerja dan kerugian materiil. Penggunaan stabilizer konvensional dinilai kurang efektif karena respon lambat dan ketiadaan fitur pemantauan. Penelitian ini bertujuan membuat sistem stabilizer otomatis terintegrasi Internet of Things (IoT) untuk menjaga kestabilan tegangan sekaligus mempermudah audit energi. Metode pelaksanaan menggunakan pendekatan rancang bangun (prototyping) berbasis mikrokontroler Arduino Pro Mini yang mengendalikan motor servo dengan mekanisme closed-loop dan transmisi data via tunneling Ngrok. Hasil pengujian menunjukkan sistem mampu menstabilkan tegangan pada referensi 220V dengan toleransi ±2V dan waktu pemulihan (recovery time) rata-rata 2 hingga 3 detik terhadap fluktuasi ekstrem. Sistem akuisisi data mencatatkan akurasi tinggi sebesar 99,58% untuk sensor tegangan dan 99,48% untuk sensor arus. Selain itu, fitur monitoring real-time via aplikasi Blynk dan pelaporan data otomatis format Excel melalui Telegram Bot berfungsi 100%, menggantikan pencatatan manual. Penerapan teknologi ini memberikan solusi proteksi aset yang responsif dan manajemen data kelistrikan yang efisien.
Co-Authors Ahmad Tri Hidayat Anivan Aditia Anna Dina Kalifia Ari Sugiharto Farida Ardiani Fredi Prima Sakti Haidar Rahman Ilham Saputro Irma Handayani Kartika Syifa M.S. Hendriyawan Achmad Ridwan Budi Prasetyo Rifqi Ahmad Afandi Rifqi Fauzan Kusmayana Sandy Ikhwanul Attar Satyo Nuryadi Selfi Artika Shinji Febriyanto Sugiharto, Ari Suwirno Suwirno Wahyu Sri Utami Wahyu Sulastri Waluyo, Anita Fira