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All Journal Transmisi: Jurnal Ilmiah Teknik Elektro Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Jurnal Sains dan Informatika JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Buletin Profesi Insinyur Indonesian Journal for Social Responsibility Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Journal Electric Field
Suryo, Arief Trisno Eko
Universitas Lambung Mangkurat
Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Social Sciences

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ANALISIS KOMPENSASI TEGANGAN SAG DENGAN KONTROL HYSTERESIS DAN ANN PADA GI SENGKALING PENYULANG PUJON Eko Suryo, Arief Trisno; Wijono, Wijono; Siswojo, Bambang
Transmisi: Jurnal Ilmiah Teknik Elektro Vol 22, No 3 Juli (2020): TRANSMISI
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/transmisi.22.3.73-79

Abstract

Makalah ini mendiskusikan tentang analisis kompensasi tegangan sag. Tegangan sag disebabkan oleh gangguan hubung singkat 3 fasa ke tanah. Gangguan tersebut memiliki dampak besar terhadap kerusakan pada saluran beban Penyulang Pujon. Tegangan sag dapat diatasi dengan kompensasi menggunakan Dynamic Voltage Restorer (DVR), yang mana DVR merupakan salah satu dari custom power device yang paling efektif. Hysteresis dan ANN diusulkan untuk mengatur kompensasi tegangan sag dari DVR. Hasil simulasi menunjukkan bahwa kontrol Hysteresis mampu mengkompensasi tegangan beban rata-rata sebesar 95.9 %, dan ANN 104.3%. Kontrol Hysteresis lebih baik dibandingkan dengan kontrol ANN dalam mengkompensasi tegangan beban, yang mana tidak melebihi tegangan beban normal pada saat kompensasi tegangan sag.
MITIGATION VOLTAGE SAG USING DVR WITH HYSTERESIS-ANN CONTROL ON DISTRIBUTION SYSTEM PUJON FEEDER LINE Arief Trisno Eko Suryo
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 8 No. 1 (2023)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v8i1.158

Abstract

This paper discusses the mitigation of voltage sag in distribution systems. Voltage sag often occurs due to a single line-to-ground short circuit fault. The fault has a major impact on load damage in the Pujon feeder line. Voltage sag can be mitigated by using Dynamic Voltage Restorer (DVR). DVR is one type of custom device that is effective in overcoming voltage sag. DVR requires control in regulating voltage recovery on the Pujon line. This research proposes DVR control using Hysteresis combined with ANN to mitigate voltage sag on Pujon line. Simulation results show that the Hysteresis-ANN control is able to recover the load voltage in phase R on average by 97% due to voltage sag that occurs on the Pujon feeder line.
Implementasi DVR pada Saluran Penyulang Pujon dengan Kompensasi Tegangan Dip Arief Trisno Eko Suryo; Wijono Wijono; Bambang Siswojo
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 7 No 2 (2020): Jurnal Ecotipe, Oktober 2020
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v7i2.1821

Abstract

This paper discusses the DVR of on Pujon line with voltage Sag/Dip compensation. The voltage Dip is often the result of Single line-to-ground fault. The voltage Dip makes tripping and damage the load equipment a problem that must be addressed. DVR implementation is used to complement the voltage Dip. The ANN control method was proposed to regulate DVR performance in compensating the voltage Dip. Simulated results demonstrated with the implementation of a DVR in the Pujon replay line capable of compensating the voltage of the Single line-to-ground fault from a voltage drop that was originally 0536 PU and can be repaired by 0968 PU.
Perancangan Sistem Monitoring Budidaya Ikan Patin Berbasis Protokol Lora Menggunakan Metode Fuzzy Logic Andry Fajar Zulkarnain; Arief Trisno Eko Suryo; Mahrudin Mahrudin
Buletin Profesi Insinyur Vol 7, No 1 (2024): Buletin Profesi Insinyur (Januari-Juni)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/bpi.v7i1.230

Abstract

Kualitas air yang buruk menyebabkan ikan lebih mudah terserang penyakit bahkan kematian pada ikan. Pemantauan secara langsung dinilai tidak efektif karena kondisi fisik air yang dapat berubah dalam waktu yang cukup cepat yang disebabkan oleh kondisi cuaca ataupun sisa makanan serta faktor lainnya yang dapat mempengaruhi kualitas air kolam. Untuk mengatasi permasalahan yang ada, maka pembudidaya perlu menggunakan suatu teknologi yang dapat memantau kualitas air kolam agar kondisi air dapat diamati dengan cepat sehingga pembudidaya segera melakukan penanganan pada kolam. Adapun komponen yang digunakan yaitu ESP32 WROOM-32D sebagai mikrokontroler, sensor DS18B20 sebagai sensor untuk mengukur suhu, sensor pH SS15 sebagai sensor untuk mengukur derajat keasaman (pH), dan sensor MQ-135 sebagai sensor untuk mengukur amonia. Hasil dari pengujian performa dari sensor yang digunakan untuk mengetahui persentase error dari setiap sensor didapatkan hasil error sebesar 5,99% pada pengujian sensor DS18B20, 5,5% pada pengujian sensor pH, dan sensor MQ-135 sesuai dengan hasil amonia hydrion tester. Jarak komunikasi yang dapat dilakukan modul LoRa-SX1278 yang digunakan yaitu 150 meter pada kondisi LoS dan 50 meter pada kondisi N-LoS. Hasil pengujian sistem dari perhitungan fuzzy logic pada keluaran mikrokontroler dan Matlab dalam menentukan kualitas air kolam didapatkan nilai rata-rata error sebesar 0,46%. Berdasarkan hasil tersebut, dapat disimpulkan bahwa perancangan sistem monitoring kualitas air yang dibangun berbasis protokol LoRa menggunakan fuzzy logic dalam menentukan kualitas air berhasil dibangun dan layak digunakan.Kata Kunci: Kualitas Air; Suhu; pH; Amonia; Fuzzy Logic, LoRa
Perbandingan Performa Algoritma Support Vector Machine (SVM) dan Logistic Regression untuk Analisis Sentimen Pengguna Aplikasi Retail di Android Budianto, Akhmad Ghiffary; Rusilawati, Rusilawati; Suryo, Arief Trisno Eko; Cahyono, Gunawan Rudi; Zulkarnain, Andry Fajar; Martunus, Martunus
Jurnal Sains dan Informatika Vol. 10 No. 2 (2024): Jurnal Sains dan Informatika
Publisher : Teknik Informatika, Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/jsi.v10i2.911

Abstract

Platform Google Play Store menyediakan fitur pemberian masukan dan penilaian dari pelanggan terhadap aplikasi yang tersedia. Aplikasi retail di android dapat menjadikan hal tersebut sebagai salah satu metrik utama untuk memantau kinerja. Analisis sentimen merupakan salah satu bagian dari NLP dan text mining yang digunakan untuk melihat sentimen dari opini dalam ulasan pengguna di aplikasi tersebut. Penelitian ini bertujuan untuk membandingkan performa algoritma SVM dan logistic regression dalam klasifikasi sentimen ulasan pengguna aplikasi tersebut. Dari 4250 data ulasan pengguna, 3400 data digunakan sebagai data training dan 850 data digunakan sebagai data testing. Hasilnya didapatkan klasifikasi dengan SVM dan logistic regression sama-sama memiliki tingkat akurasi 0,87, namun namun Logistic Regression menunjukkan performa yang lebih baik dalam mengidentifikasi sentimen positif dengan nilai F1 score 0.89 dibandingkan SVM (0.78). Logistic Regression juga memiliki misklasifikasi yang lebih sedikit (110) dan nilai True Positive (TP) dan True Negative (TN) yang lebih tinggi dibandingkan SVM. Secara keseluruhan, Logistic Regression menunjukkan performa yang lebih baik dalam mengklasifikasikan sentimen ulasan pengguna aplikasi retail dibandingkan SVM.
Sistem Monitoring Kecepatan dan Daya Mobil Listrik Pada IEMC (Indonesian Energy Marathon Challenge) Eko Suryo, Arief Trisno; Mohamad Diki; Dwi Gita Anggagana
Journal Electric Field Vol. 1 No. 1 (2024): Journal Electric Field
Publisher : CV. Sekawan Siji

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63440/jef.v1i1.18

Abstract

This article discusses the speed and motor power monitoring system for IEMC electric cars. IEMC electric cars vary in speed and power when loaded, so the driver cannot know the speed and power produced. Furthermore, a monitoring system design is proposed to monitor speed and power when operating. The method uses a hall-effect-sensor to calculate voltage, current, power and speed and the monitoring system uses Xbee-Pro which is displayed on the monitor screen. Monitoring results show that without load it produces a current of 2.7-2.8 A, a voltage of 49.10-50.40 volts, a power of 129.10-136.08 watts. Meanwhile, an electric car with a load produces a current of 18.60-18.50 A, a voltage of 49.10-50.40 volts, and a power of 894.66-932.40 watts with a sensor distance of 0.5-1 cm each. Monitoring results show that voltage, current and power can be monitored via a PC or laptop in real-time. 
A Text Mining Approach to Analyzing the Omnichannel Retail Business Performance of the KlikIndomaret App Budianto, Akhmad Ghiffary; Suryo, Arief Trisno Eko; Zulkarnain, Andry Fajar; Cahyono, Gunawan Rudi; Rusilawati, Rusilawati; Az-Zahra, Siti Fatimah
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 26 No. 2 (2024): December 2024
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.26.2.131-144

Abstract

The evolution of Web 2.0 technology has significantly influenced the use of Android applications, enabling users to provide feedback through reviews and star ratings. In managing omnichannel retail businesses, this user-generated content serves as a valuable source of information for performance evaluation and strategic management of both online and offline operations. Large-scale user review data is well-suited for analysis through text mining, particularly in sentiment analysis, when combined with topic and keyword filtering in the business domain. This study utilizes the RoBERTa Transformer model for the sentiment classification of user reviews. Among the 520 user reviews, 211 displayed good emotion, while 309 showed negative sentiment. By applying filtering processes to topics and keywords within the omnichannel retail business domain, the study identifies "economic value" and "delivery and CRM" as priority areas for improvement. This conclusion is drawn based on the significant disparity between positive and negative sentiments. As a result, management can formulate strategies to enhance the performance and user experience of the KlikIndomaret Android application.
Pemanfaatan Teknologi Internet of Things untuk Penunjang Model Pembelajaran Science, Technology, Engineering and Mathematics Budianto, Akhmad Ghiffary; Zulkarnain, Andry Fajar; Suryo, Arief Trisno Eko; Cahyono, Gunawan Rudi; Rusilawati, Rusilawati; Wibowo, Bayu Setyo; Az-Zahra, Siti Fathimah; Atmadja, Fridho Ery Dwi; Najua, Siti Nur
Indonesian Journal for Social Responsibility Vol. 7 No. 01 (2025): June 2025
Publisher : LPkM Universitas Bakrie

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36782/ijsr.v7i01.412

Abstract

The development of outstanding human resources can be achieved through the application of Science and Technology (S&T) in education. The focus of applying S&T is on the Science, Technology, Engineering, and Mathematics (STEM) learning approach. The STEM learning approach equips students with the ability to think creatively, critically, and problem-solving oriented, as well as to work collaboratively in teams, adapt to technological advancements, and continue to innovate. A lack of examples regarding the methods and applications of the latest technology in STEM fields poses a problem for students in schools. Students often struggle with understanding theories due to the absence of engaging demonstrative examples. The use of the Internet of Things (IoT) in various fields and daily life serves as an example of STEM application. Introducing IoT in several science subjects such as Physics, Chemistry, Biology, and Mathematics can provide engaging and relevant learning experiences. The goal of this Community Service activity is to provide an introduction and examples of IoT application as a supporting model for STEM learning at SMAN 1 Banjarbaru. The method used involves socializing IoT technology and including practical applications of IoT in STEM fields, such as assembling IoT kit components with WeMos D1, ESP32 NodeMCU, and various sensors for measuring temperature and pH. It is expected that students will understand the application of the latest IoT technology in STEM fields. Additionally, the school will be able to provide engaging, up-to-date learning experiences in technology that are relevant to the latest curriculum. As the result, three groups of students, each consisting of five members, successfully developed an IoT system for measuring liquid temperature and pH.
Co-Authors Akhmad Ghiffary Budianto Atmadja, Fridho Ery Dwi Az-Zahra, Siti Fathimah Az-zahra, Siti Fatimah Bambang Siswojo Dwi Gita Anggagana Fajar Zulkarnain, Andry Gunawan Rudi Cahyono Mahrudin Mahrudin Martunus Martunus Mohamad Diki Najua, Siti Nur Rusilawati Rusilawati Siswojo, Bambang Wibowo, Bayu Setyo Wijono Wijono Wijono Wijono