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All Journal International Journal of Public Health Science (IJPHS) Journal of Education and Learning (EduLearn) Journal of Educational, Health and Community Psychology Irfani Jurnal Pendidikan Islam ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Indigenous: Jurnal Ilmiah Psikologi Jurnal Informatika Upgris Jurnal Ilmiah Peuradeun Jurnal Ilmu Keluarga dan Konsumen Jurnal Penelitian Pendidikan IPA (JPPIPA) PAEDAGOGIA Edukasi Islami: Jurnal Pendidikan Islam Atthulab: Islamic Religion Teaching and Learning Journal Al-Ta'lim TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Jurnal EDUCATIO: Jurnal Pendidikan Indonesia Al Iman: Jurnal Keislaman dan Kemasyarakatan COMMUNITY : Jurnal Pengabdian Kepada Masyarakat Eksergi: Jurnal Teknik Energi Counseling and Humanities Review Jurnal Aplikasi IPTEK Indonesia Jurnal Inovasi Pendidikan Agama Islam Socius: Social Sciences Research Journal Current Issues In Counseling Educandumedia: Jurnal Ilmu Pendidikan dan Kependidikan Assyfa Journal of Islamic Studies Al Iman: Jurnal Keislaman dan Kemasyarakatan CONTENT: Journal of Communication Studies SNTE
Fikri, Miftahul
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Clustering Suara Corona Discharge berdasarkan Tegangan menggunakan Metode Fuzzy C-Mean FIKRI, MIFTAHUL; CHRISTIONO, CHRISTIONO; MULYANA K., IWA GARNIWA; MAURIRAYA, KARTIKA TRESYA; PASRA, NURMIATI; SAMSURIZAL, SAMSURIZAL; ROMADHONI, MUHAMMAD LUTHFIANSYAH; THAHARA, ANDI AMAR
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 11, No 3: Published July 2023
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v11i3.609

Abstract

ABSTRAKCorona discharge (CD) atau peluahan permukaan merupakan faktor kegagalan isolasi pada sistem kelistrikan yang dipengaruhi oleh kondisi lingkungan tidak menentu dan perlu pemantauan secara terkini. CD menghasilkan gelombang suara yang digunakan sebagai parameter untuk langkah awal mencapai tujuan tersebut, penelitian ini mengkluster suara CD pada terminasi kubikel 20 kV. Penelitian menggunakan elektroda jarum-jarum berjarak 3 cm. Tercatat nilai sebelum breakdown voltage terjadi pada tegangan 33,4 kV, dan pengambilan data terbagi 3 klaster: 20-24 kV, 25-29 kV, 30-33 kV. Proses klasterisasi dengan metode LPC untuk menghasilkan ekstraksi suara. Kemudian menggunakan metode fuzzy c-mean untuk memperoleh akurasi dengan membandingkan pola suara training dan testing. Pada Kelembapan berkisar 70%-95% dengan suhu antara 27,5°C - 35.3°C diperoleh hasil akurasi 96,00% untuk data training dan 80,00% untuk data testing.Kata kunci: Corona discharge, fuzzy c-mean, linear predictive coding, kegagalan isolasi ABSTRACTCorona discharge (CD) is a factor in insulation failure in electrical systems, which is affected by uncertain environmental conditions and requires up-to-date monitoring. CD which produces sound waves, is used as a parameter for the initial step to achieve this goal. This research will cluster CD sounds at 20 kV cubicle terminations. The study used electrode needles spaced 3 cm apart. The value recorded before the breakdown voltage occurred was 33.4 kV, and data collection was divided into 3 clusters: 20–24 kV, 25–29 kV, and 30-33 kV. The clustering process with the LPC method produces sound extraction. Then use the fuzzy C-mean method to obtain accuracy by comparing trained and tested sound patterns. At a humidity range of 70%–95% and temperatures between 27.5°C–35.3°C, the results obtained an accuracy of 96.00% for training data and 80.00% for testing data.Keywords: Corona discharge, fuzzy c-mean, linier predictive coding, insulation failure
Optimasi Dielektrika Isolator Polimer Silicone Rubber menggunakan Bahan Pengisi Limbah Coal Fly Ash THAHARA, ANDI AMAR; FATAH, MARTIN CHOIRUL; MULYANA, IWA GARNIWA; TIO, CHRISTIONO; FIKRI, MIFTAHUL
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 11, No 4: Published October 2023
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v11i4.1075

Abstract

ABSTRAKBerdasarkan penelitian dengan judul “Electrical and Mechanical Properties of Fly Ash Filled Silicone Rubber for High Voltage Insulator” oleh Manjang dkk., (2015), telah dilakukan eksperimen uji karakteristik dielektrika fly ash sebagai filler pada isolator Silicone Rubber (SiR), namun belum adanya analisa optimasi komposisi kadar fly ash yang dilakukan, sehingga belum diperoleh nilai rekomendasi komposisi terbaik. Oleh karena itu, tujuan pada penelitian ini dilakukan studi lebih lanjut untuk menentukan nilai optimasi dari jenis komposisi pemanfaatan fly ash sebagai filler pada isolator SiR dengan metode analisa regresi kuadratik dan memperoleh model kuadrat komposisi fly as yang mengoptimalkan kekuatan dielektrika. Hasil optimasi komposisi fly ash pada pengujian sifat hidrofobik sebesar 20.69% dari komposisi fly ash dan pengujian permitivitas relatif sebesar 80% dari komposisi fly ash.Kata kunci: fly ash batu bara, filler, optimasi, regresi kuadratik, silicone rubber ABSTRACTBased on research entitled "Electrical and Mechanical Properties of Fly Ash Filled Silicone Rubber for High Voltage Insulators" by Manjang et al., (2015), experiments have been carried out to test the dielectric characteristics of fly ash as a filler on Silicone Rubber (SiR) insulators, but there is no the optimization analysis of the composition of the fly ash content was carried out, so that the best composition recommendation value has not been obtained. Therefore, the aim of this research is to conduct further studies to determine the optimization value of the type of composition utilizing fly ash as filler in SiR insulators using the quadratic regression analysis method and obtain a quadratic model of fly ash composition that optimizes dielectric strength. Optimization results of the fly ash composition in testing the hydrophobic properties of 20.69% of the fly ash composition and relative permittivity testing of 80% of the fly ash composition.Keywords: coal fly ash, filler, optimization, quadratic regression, silicone rubber
Deteksi Suara Corona Discharge berdasarkan Noise menggunakan Metode LPC dan Euclidean Distance PASRA, NURMIATI; FIKRI, MIFTAHUL; MAURIRAYA, KARTIKA TRESYA; RIJANTO, TRI; BUDITJAHJANTO, I GUSTI PUTU ASTO
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 11, No 1: Published January 2023
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v11i1.72

Abstract

ABSTRAKKegagalan isolasi masih sering terjadi pada sistem kelistrikan di Indonesia yang disebabkan oleh fenomena tegangan tinggi seperti corona discharge (CD). Hal ini dikarenakan deteksi dini kegagalan isolasi belum dapat dilakukan. Salah satu bentuk CD ialah suara. Langkah awal untuk mendeteksi dini kegagalan isolasi ialah diperlukannya suatu penelitian yang dapat mengklaster suara CD berdasarkan noise yang merupakan tujuan penelitian ini. Pengamatan dilakukan pada kubikal 20-22 kV dengan cara menaik-turunkan tegangan dengan elektroda jarum-batang sejauh 3 cm. Klasifikasi suara CD ditetapkan menjadi 3 cluster yaitu CD murni, CD disertai noise mendesis dan noise mendesis murni. Clustering dilakukan menggunakan metode linear predictive coding (LPC) sebagai ekstraksi ciri dan Euclidean distance sebagai pencocokan pola hasil ekstraksi. Adapun suhu di dalam kubikal antara 25℃ - 32℃ dan kelembaban berkisar 70% - 90%. Hasil akurasi clustering rata-rata yang diperoleh adalah 100% untuk data training dan 97,78% untuk data testing. Kata kunci: corona discharge, linear predictive coding, Euclidean distance, kegagalan isolasi ABSTRACTInsulation failures often occur in the electrical system in Indonesia caused by high voltage phenomena such as corona discharge (CD). This is because early detection of insulation failure cannot be carried out. One form of CD is sound. The first step for early detection of insulation failure is the need for a study that can cluster CD sounds based on noise which is the purpose of this study. Observations were made at 20-22 kV cubical by increasing and decreasing the voltage with a needle-rod electrode as far as 3 cm. The classification of CD sound is set into 3 clusters i.e. pure CD, CD with hissing noise, and pure hissing noise. Clustering is done using linear predictive coding (LPC) as feature extraction and Euclidean distance as pattern matching extraction results. The temperature inside the cubical is between 25℃ - 32℃ and the humidity is around 70% - 90%. The average clustering accuracy results obtained are 100% and 97.78% for training and testing data.Keywords: author’s guideline, document’s template, format, style, abstract
Clustering Fenomena Corona Discharge berdasarkan Suara menggunakan Metode LPC dan Euclidean Distance FIKRI, MIFTAHUL; CHRISTIONO, CHRISTIONO; MULYANA K., IWA GARNIWA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 10, No 3: Published July 2022
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v10i3.689

Abstract

ABSTRAKKegagalan isolasi akibat fenomena tegangan tinggi seperti corona discharge (CD) masih banyak terjadi pada sistem kelistrikan di Indonesia. Hal ini disebabkan belum dapat dilakukannya deteksi dini kegagalan isolasi. Salah satu bentuk CD berupa suara. Sebagai langkah awal deteksi dini kegagalan isolasi diperlukan suatu penelitian yang dapat mengklaster suara CD (pada kubikal 20 kV) yang merupakan tujuan penelitian. Berdasarkan pengamatan pada elektroda jarum-batang berjarak 3 cm diperoleh breakdown terkecil pada 34,3 kV. Klasifikasi suara CD ditetapkan menjadi 3 cluster yang dimulai dari tegangan cubicle 20 kV hingga sebelum breakdown terjadi yaitu 33 kV. Clustering dilakukan menggunakan metode linear predictive coding (LPC) sebagai ekstraksi ciri dan Euclidean distance sebagai pencocokan pola hasil ekstraksi. Adapun suhu di dalam kubikal antara 27,5℃ - 35,3℃ dan kelembaban berkisar 70% - 95%. Hasil akurasi clustering rata-rata yang diperoleh adalah 100% untuk data training dan 85,15% untuk data testing.Kata kunci: corona discharge, Euclidean distance, kegagalan isolasi, linear predictive coding, tegangan tinggi ABSTRACTInsulation failures due to high voltage phenomena such as corona discharge (CD) are still common in the electricity system in Indonesia. This is because early detection of insulation failure cannot be carried out. One form of CD is sound. As the first step in early detection, a study is needed to cluster CD sound (at 20 kV cubical). By observations on the needle-rod electrode at 3 cm, the smallest breakdown was at 34.3 kV. CD sound classification is set into 3 clusters starting from a cubicle voltage of 20 kV until before breakdown occurs, which is 33 kV. Clustering was carried out using linear predictive coding (LPC) as feature extraction and Euclidean distance as pattern matching extracted results. The temperature and humidity inside the cubical are 27.5℃-35.3℃ and 70%-95% respectively. For training and testing data average clustering accuracy results obtained are 100% and 85.15% respectively.Keywords: corona discharge, Euclidean distance,, insulation failure, linier predictive coding, high voltage
Identifying Issues and Contexts: Obstacles for TPE Students in Designing Problem-Based Learning Nurhamzah, Nurhamzah; Rahman, Asep Andi; Nurdiansyah, Rikrik; Fikri, Miftahul; Nasrudin, Dindin; Ramdani, Zulmi
PAEDAGOGIA Vol 27, No 3 (2024): PAEDAGOGIA Jilid 27 No 3 (2024)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/paedagogia.v27i3.96104

Abstract

Problem-Based Learning (PBL) is widely recognized as an effective approach to developing students' critical thinking and problem-solving skills. However, its implementation often encounters significant challenges, particularly in teachers’ ability to identify relevant contextual issues. This study investigates the perceptions and challenges faced by students in the Teacher Professional Education (TPE) Program in selecting and designing contextual issues for PBL. Using a sequential exploratory mixed-method design, the research began with a qualitative phase analyzing student assignments, followed by a quantitative phase involving questionnaires to assess perceptions and influencing factors. Results revealed that most TPE students have not yet fully developed the ability to select appropriate issues to serve as contexts in PBL. 90% of participants found it "Difficult" to identify relevant issues, while only 10% considered it "Easy." Among the factors contributing to these difficulties, limited knowledge of relevant issues (30%) was the most significant, followed by a lack of understanding of PBL concepts (23%) and difficulty connecting theory to practice (18%). Other barriers included limited access to resources (13%), time constraints (8%), and other minor reasons (8%). These findings emphasize the importance of structured and practical training programs to enhance teachers' competence in identifying contextual issues for PBL. The study concludes with recommendations for designing intensive professional development programs and highlights the need for further research with larger and more diverse samples to validate these findings.
EXPLORING MEMORIZATION PATTERNS IN THE TAHFIDZ AND TARJAMAH QUR'AN PROGRAMS Suryana, Ermis; Supriadi, Udin; Fikri, Miftahul; Efriani, Arvin; Langputeh, Sukree
Jurnal Pendidikan Islam Vol 10, No 2 (2024): Jurnal Pendidikan Islam
Publisher : The Faculty of Tarbiyah and Teacher Training associated with PSPII

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/jpi.v10i2.29969

Abstract

The memorization and understanding of the Qur'an play a vital role in shaping a Qur'anic generation. This study aims to explore the memorization patterns in the Tahfidz and Tarjamah Qur'an programs at Darul Hufadz Islamic Senior High School. Using a qualitative research approach, data were gathered through in-depth interviews, participatory observation, and documentation from 38 informants, including the principal, five mentor teachers, and 32 students. Data analysis followed a process of reduction, presentation, and verification. The findings indicate that the Tahfidzul Qur'an program follows a daily memorization pattern known as "One Day One Verse," where students memorize one verse and its translation each day. The program emphasizes regular recitation, memorization, comprehension, and the practical application of the Qur'an’s teachings, with parental oversight. Collaborative reading sessions between teachers and students, coupled with repetition—where verses are repeated over 40 times and listened to more than 60 times—reinforce the memorization process. This structured approach effectively cultivates a Qur'anic generation, ensuring deep engagement with the Qur'an. The study highlights the importance of consistent memorization routines and active teacher involvement in fostering both cognitive and spiritual development among students.
Emotional Intelligence in Students with Tendency to Involve in Cyberbullying Ronella, Tiara; Sukmawati, Indah; Ifdil, Ifdil; Fikri, Miftahul
Current Issues in Counseling Vol 5, No 1 (2025): Current Issues in Counseling
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/01215cic

Abstract

Various factors influence students' cyberbullying behavior, one of which is emotional intelligence. This study aims to describe the emotional intelligence of students who have a tendency to commit cyberbullying in terms of: (1) aspects of recognizing oneself, (2) aspects of managing emotions, (3) aspects of motivating oneself, (4) aspects of recognizing other people's emotions, (5) aspects of building relationships. The research method used is a quantitative method with a descriptive approach. The sample of this study was students XI and XII in who were identified as having a tendency to commit cyberbullying as many as 111 people. Sampling was determined by the total sampling technique. Data were obtained with a research instrument in the form of an emotional intelligence questionnaire with a Likert scale model. Data were analyzed using descriptive statistics. Based on the results of this study, data on the emotional intelligence of students who have a tendency to commit cyberbullying as a whole is in the high category, namely (59.16%%). It is hoped that related parties such as teachers and counselors can provide direction for students who commit cyberbullying with the hope that they still have emotional intelligence. 
Student learning outcomes will "improve" when using counting box media. How significant is the impact of this media? Darmayanti, Rani; Fikri, Miftahul; Rahman, Md Anisur
Assyfa Journal of Islamic Studies Vol. 1 No. 2 (2023): Assyfa Journal of Islamic Studies (December)
Publisher : CV. BImbingan Belajar Assyfa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61650/ajis.v1i2.223

Abstract

The challenges of 21st-century education require students to be proficient in learning, digitally literate and have a strong character. As the learning process is still teacher-centered, with the lecture method predominating, students require additional motivation. When delivering educational content, students must demonstrate zeal and pose more questions. Counting box media is anticipated to be a substitute for instilling character through problems that students must be able to solve when learning mathematics counting. The author attempted to implement counting box media to enhance the mathematics learning outcomes of MI students because it aids and facilitates counting. The counting box learning media is a box made of thick cardboard with essential tools and materials added to it. This study utilized the experimental design method with a Pretest-Posttest Control design and Cluster Random Sampling technique. The data collection method utilized in this study is learning outcomes exams. For processing data with SPSS 16. Tests hypotheses using the Paired Samples Test. This investigation yielded exciting findings. In addition to influencing student learning outcomes, counting box media can also help instill character in madrasa students. The characteristics and characteristics of these characters will be discussed in this article.
Enhancing Islamic Education through Technology Integration: A Study of Teaching Practices in Indonesia Siregar, Hariman Surya; Nurhamzah, Nurhamzah; Munir, M.; Fikri, Miftahul
Jurnal Ilmiah Peuradeun Vol. 13 No. 2 (2025): Jurnal Ilmiah Peuradeun
Publisher : SCAD Independent

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26811/peuradeun.v13i2.1875

Abstract

The integration of technology in education presents both opportunities and challenges, particularly in the context of Islamic education, where maintaining pedagogical effectiveness while embracing digital tools remains a key concern. This study aims to analyze technology integration in Islamic education, explore educators’ strategies to enhance student engagement and understanding, and identify challenges and opportunities related to technology use, including artificial intelligence and social media, to optimize digital-based learning. Employing a quantitative cross-sectional survey design, the study collected data from 11,372 Islamic education teachers across Indonesia, following a pilot phase involving 569 teachers. The findings indicate a generally positive reception of technology integration, with a high overall average response (4.4035), demonstrating its perceived effectiveness in supporting student engagement and comprehension. Key recommendations include enhancing teacher training programs, improving technological infrastructure, and adopting a balanced pedagogical approach to optimize educational outcomes.
Exploring Memorization Patterns in the Tahfidz and Tarjamah Qur'an Programs Suryana, Ermis; Supriadi, Udin; Fikri, Miftahul; Efriani, Arvin; Langputeh, Sukree
Jurnal Pendidikan Islam Vol 10 No 2 (2024): Jurnal Pendidikan Islam
Publisher : The Faculty of Tarbiyah and Teacher Training associated with PSPII

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/jpi.v10i2.29969

Abstract

The memorization and understanding of the Qur'an play a vital role in shaping a Qur'anic generation. This study aims to explore the memorization patterns in the Tahfidz and Tarjamah Qur'an programs at Darul Hufadz Islamic Senior High School. Using a qualitative research approach, data were gathered through in-depth interviews, participatory observation, and documentation from 38 informants, including the principal, five mentor teachers, and 32 students. Data analysis followed a process of reduction, presentation, and verification. The findings indicate that the Tahfidzul Qur'an program follows a daily memorization pattern known as "One Day One Verse," where students memorize one verse and its translation each day. The program emphasizes regular recitation, memorization, comprehension, and the practical application of the Qur'an's teachings, with parental oversight. Collaborative reading sessions between teachers and students, coupled with repetition—where verses are repeated over 40 times and listened to more than 60 times—reinforce the memorization process. This structured approach effectively cultivates a Qur'anic generation, ensuring deep engagement with the Qur'an. The study highlights the importance of consistent memorization routines and active teacher involvement in fostering both cognitive and spiritual development among students.
Co-Authors Abdul Rauf Adi Saputra Afdal Afdal, Afdal Afrianda, Rio Akip, Muhamad Aldi, Muhammad Syahda Aligrha, Monic Sonya Anggara, Baldi Anggraini, Osy Khalisyah Arafani, Adnan Arvin Efriani Az-zahra, Nadya Azmatul Khairiah Sari Biran, Mega Iswari Christiono, Christiono Cusinia, Azahra Hardi Desvikayati, Ice Dina Sukma Engku Kamarudin, Engku Mardiah Ermis Suryana Fadhilah, Farah Fadhlullah, Rizky Fatah, Martin Choirul Fauzan, Farhan Ahmad Frischa Meivilona Yendi Gusni Dian Suri Haidi, Junas Handani, Tri Hari Antoni Musril Hariko, Rezki Hasbiyallah, Hasbiyallah Hendri Hestiawan Herdi, Asep Heriyanto, Helmi Herman Nirwana Huda, Farhil Husaeni, Muhammad Fahri Ali Hussain, Nazar I Gusti Putu Asto Buditjahjanto Ifdil Ifdil IRWANSYAH Kartika Tresya Mauriraya Kesuma, Bima Andi Kosim, M. Langputeh, Sukree Larasati, Sectio Putri Lia Mita Syahri M. Munir Makkulau, Andi Mega Iswari Meynia, Adhilla Mifta Ghina Dzakiya MULYANA K., IWA GARNIWA Mulyana, Iwa Garniwa Mutia Afnida Nasrudin, Dindin Nasution, Ahmad Zaki Ilman Nilma Zola Nurdiansyah, Rikrik Nurdin, Eep Sopwana Nurhamzah, Nurhamzah Nurulhaq, Dadan Pasra, Nurmiati Prasetia, Agung Tri Pratiwi, Noverta Puji Gusri Handayani Putra, Ade Herdian Putra, Endri Putriani, Lisa Rahman, Asep Andi Rahman, Md Anisur Rahmawati, Dini Fitriani Rahmi, Yola Zaitul Ramadhani, Velya Rani Darmayanti Rima Pratiwi Fadli ROMADHONI, MUHAMMAD LUTHFIANSYAH Ronella, Tiara Samsurizal Samsurizal Sapto Hadi Riono Siregar, Hariman Surya Siti Hanifah Sukmawati, Indah Syahriani, Lilis Syapitri, Denia THAHARA, ANDI AMAR TIO, CHRISTIONO Tri Rijanto TRIAVE NUZILA ZAHRI Triawan, Fandy Udin Supriadi Uswatun Hasanah Wirdaningsih, Ayuni Wulandari, Nilas Siti Yeni Karneli Yuliantina, Nanda Febby Yuliartati, Yuliartati Yunus, Ahmad Rozelan Yusniah Zadrian Ardi Zikra Zikra Zulmi Ramdani