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All Journal International Conference on Law, Business and Governance (ICon-LBG) Jurnal Cita Hukum MODELING: Jurnal Program Studi PGMI Jurnal Sains dan Informatika JURTEKSI Murobbi: Jurnal Ilmu Pendidikan JOISIE (Journal Of Information Systems And Informatics Engineering) International Journal for Educational and Vocational Studies alfazuna: Jurnal Pembelajaran Bahasa Arab dan Kebahasaaraban JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Teknik Informatika (JUTIF) Khatulistiwa: Jurnal Ilmu Pendidikan Administrative and Environmental Law Review Muhammadiyah Law Review Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Al-MIKRAJ: Jurnal studi Islam dan Humaniora Indonesian Journal Computer Science (ijcs) Jurnal Pengabdian West Science ABDIMASY: Jurnal Pengabdian Kepada Masyarakat Jurnal ilmiah teknologi informasi Asia Jurnal PETISI (Pendidikan Teknologi Informasi) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Media for Empowerment, Mobilization, and Innovation in Research & Community
Fathoni Fathoni
Unknown Affiliation
Religion Aerospace Engineering Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Social Sciences Other

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ANALISIS SENTIMEN PUBLIK TERHADAP KEBIJAKAN PEMERINTAH TERBARU TENTANG PENDISTRIBUSIAN GAS ELPIGI SUBSIDI PADA MASYARAKAT MENGGUNAKAN METODE ALGORITMA SVM Fathoni, Fathoni; Lifiano Jamot Munthe, Gabriel; Yasir Alghifari, Muhammad
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 4 (2025): JATI Vol. 9 No. 4
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i4.14213

Abstract

Kebijakan pemerintah terbaru mengenai pendistribusian gas elpiji subsidi hanya melalui pangkalan resmi Pertamina menuai berbagai respons dari masyarakat, khususnya di media sosial X (Twitter). Permasalahan muncul karena perubahan sistem ini dinilai menyulitkan masyarakat tertentu, serta menimbulkan keresahan terkait aksesibilitas dan kelangkaan pasokan. Penelitian ini bertujuan untuk menganalisis sentimen publik terhadap kebijakan tersebut dengan memanfaatkan algoritma Support Vector Machine (SVM) sebagai metode klasifikasi. Data dikumpulkan melalui proses crawling menggunakan sejumlah kata kunci relevan selama periode 1 Februari hingga 28 Februari 2025. Setelah itu data diproses melalui tahapan preprocessing, normalisasi, ekstraksi fitur menggunakan metode N-gram, serta pelabelan sentimen secara otomatis dengan bantuan pustaka TextBlob. Berdasarkan hasil analisis terhadap 1.091 data, ditemukan bahwa sentimen publik didominasi oleh sentimen positif sebesar 47,3%, diikuti oleh sentimen negatif sebesar 27,0%, dan sentimen netral sebesar 25,7%. Evaluasi performa model menunjukkan tingkat akurasi sebesar 68,35%, dengan kinerja terbaik pada klasifikasi sentimen positif. Hasil penelitian ini menunjukkan bahwa masyarakat cenderung menerima kebijakan tersebut secara positif, meskipun masih terdapat kekhawatiran yang perlu diantisipasi melalui strategi komunikasi publik yang lebih informatif, terbuka, dan berkelanjutan.
ANALISIS SENTIMEN MASYARAKAT INDONESIA DI TWITTER TERHADAP SISTEM PERPAJAKAN ‘CORETAX’ MENGGUNAKAN METODE NAÏVE BAYES Fathoni, Fathoni; Faradhisa Ansori, Audia; Nailah Ramadhani, Indira; Rahmi Anissa, Cahya; Amelia Putri, Shinta
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 4 (2025): JATI Vol. 9 No. 4
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i4.14214

Abstract

Penelitian ini bertujuan untuk menganalisis sentimen masyarakat Indonesia terhadap sistem perpajakan digital Coretax melalui media sosial Twitter dengan menggunakan metode Naive Bayes. Data dikumpulkan dari aplikasi X sebanyak 1009 tweet, yang setelah melalui proses pembersihan menghasilkan 899 data bersih. Sentimen dalam tweet diklasifikasikan ke dalam tiga kategori: positif, negatif, dan netral. Proses analisis melibatkan tahapan crawling data, preprocessing teks (tokenizing, stopword removal, dan stemming), serta pembobotan menggunakan TF-IDF sebelum diklasifikasikan oleh algoritma Naive Bayes. Hasil pengujian menunjukkan bahwa model mampu mengklasifikasikan sentimen dengan akurasi sebesar 77%, dengan performa lebih baik pada sentimen negatif dan netral dibandingkan sentimen positif. Ketidakseimbangan jumlah data pada masing-masing kategori menjadi salah satu faktor penyebab ketidaktepatan klasifikasi. Penelitian ini memberikan gambaran awal terhadap persepsi publik mengenai implementasi Coretax, serta menunjukkan potensi penggunaan analisis sentimen sebagai alat bantu evaluasi sistem layanan digital pemerintah. Temuan ini diharapkan dapat menjadi bahan pertimbangan bagi pengembang dan instansi perpajakan untuk meningkatkan kualitas layanan, khususnya dalam aspek pengalaman pengguna, aksesibilitas, dan efisiensi sistem Coretax ke depannya.
Improve Critical Thinking Ability and Motivation in Learning Mathematics Through the Adobe Flash Cs 5.0 Game Fathoni, Fathoni; Amin, Siti Maghfirotun; Khabibah, Siti
International Journal for Educational and Vocational Studies Vol. 1 No. 8 (2019): December 2019
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/ijevs.v1i8.2241

Abstract

Mathematical learning needs to be given to all students starting from elementary school, so that students practice how to think in drawing conclusions and be able to express their opinions with the beliefs and honesty that comes from someone. But when learning mathematics the problem that often arises is a lack of motivation. Baroody (1993) says that reasoning is an important tool in learning mathematics to produce ideas so students can understand mathematical concepts correctly. Efforts made by teachers to improve thinking skills and motivation in learning mathematics are through the Adobe Flash CS 5.0 game which is expected to provide new and enjoyable experiences for teachers and students. In addition to more varied learning, students can be motivated to learn and enjoy what they learn.
Machine Learning Models for Metabolic Syndrome Identification with Explainable AI Asoka, Egga; Fathoni, Fathoni; Primanita, Anggina; Isa, Indra Griha Tofik
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 3 (2025): JUTIF Volume 6, Number 3, Juni 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.3.4430

Abstract

Metabolic syndrome (MetS) is a cluster of interrelated risk factors, including hypertension, dyslipidemia, central obesity, and insulin resistance, significantly increasing the likelihood of cardiovascular diseases and type 2 diabetes. Early identification of hypertension, a key component of MetS, is essential for timely intervention and effective disease management. This research aims to develop a hybrid machine learning model that integrates XGBoost classification with K-Means clustering to enhance or strengthening of hypertension prediction and identify distinct patient subgroups based on metabolic risk factors. The dataset consists of 1,878 patient records with metabolic parameters such as systolic and diastolic blood pressure, fasting glucose, cholesterol levels, and anthropometric measurements. Model performance was assessed using accuracy, precision, recall, F1-score, and ROC-AUC. The proposed XGBoost model achieved an outstanding classification performance with 98% accuracy, 98% precision, 98% recall, 98% F1-score, and an ROC-AUC of 1.00. K-Means clustering further identified five distinct patient subgroups with varying metabolic risk profiles. The findings underscore the potential of machine learning-driven decision support systems in improving hypertension diagnosis and MetS management.
Integration of Arabic Language Curriculum and Character Education in Islamic Educational Institutions Fathoni, Fathoni
Media for Empowerment, Mobilization, and Innovation in Research & Community Vol. 1 No. 1 (2025): January-June
Publisher : Future Tecno-Science Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/k7184w25

Abstract

This study aims to discuss the importance of integration between Arabic curriculum and character education in Islamic educational institutions. Arabic as the language of the Qur'an has a strategic value in the formation of Islamic character of students. Character education based on the noble values ​​of Islam can be strengthened through Arabic language learning that not only focuses on linguistic aspects, but is also full of moral and spiritual meaning. This study uses a descriptive qualitative approach with a literature study technique. The results of the study indicate that the integration of Arabic curriculum with character education can improve students' understanding of Islamic values, form noble morals, and strengthen their religious identity. This article recommends that Arabic teachers not only teach linguistic aspects, but also transform character values ​​through relevant learning materials and methods.
Comparative Analysis of Environmental Permitting in Indonesia and Malaysia: Implications for National Strategic Projects Fathoni, Fathoni; Febrian, Febrian; Muntaqo, Firman; Nizar, Mohammad
Administrative and Environtmental Law Review Vol 6 No 1 (2025)
Publisher : Fakultas Hukum Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25041/aelr.v6i1.4360

Abstract

This manuscript presents a comparative analysis of environmental permitting frameworks in Indonesia and Malaysia, specifically focusing on their application to large-scale development initiatives, particularly National Strategic Projects (PSN) . As developing economies, both nations grapple with the imperative of balancing economic growth with environmental sustainability. This study employs a comparative juridical–normative approach, drawing on statutory frameworks, secondary literature, and policy documents from Indonesia and Malaysia. Additionally, this study examines the legal and procedural aspects of environmental impact assessment [Analisis Mengenai Dampak Lingkungan (AMDAL) in Indonesia and Environmental Impact Assessment (EIA) in Malaysia], highlighting key similarities and differences in their approaches. While both countries possess established legislative frameworks for environmental protection, Indonesia’s accelerated permitting for the PSN, commonly facilitated by the Online Single Submission system, has drawn criticism for potentially compromising environmental safeguards and exacerbating social and environmental conflicts. Conversely, Malaysia relies on its more standardized EIA process for major projects, although it faces challenges in ensuring effective enforcement and public participation. The analysis demonstrates that despite distinct regulatory evolutions and implementation strategies, both nations share common struggles in mitigating the adverse environmental and social consequences of rapid development. The findings underscore the urgent need to strengthen environmental governance, enhance transparency, and promote meaningful stakeholder engagement to foster genuinely sustainable development pathways in Indonesia and Malaysia.
Tantangan dan Solusi Administrasi Kesehatan di Era Digital ( Tinjauan Literature Review atas Implementasi Teknologi ) Fauzi, Muhamad Rizal; Saimi, Saimi; Fathoni, Fathoni
AL-MIKRAJ Jurnal Studi Islam dan Humaniora Vol. 5 No. 01 (2024): Al-Mikraj, Jurnal Studi Islam dan Humaniora
Publisher : Pascasarjana Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/almikraj.v5i01.6219

Abstract

The aim of this research is Challenges and Solutions of Health Administration in the Digital Era (Literature Review Review of Technology Implementation). This type of research is a literature study. Data collection with documentation. Data analysis with SLR. The results of the research Based on the literature review on challenges and solutions in health administration in the digital era, it was found that the implementation of health technology offers great opportunities to improve efficiency and quality of services, but is also faced with various obstacles. The main challenges include limited digital infrastructure, lack of skills of health workers in using technology, and patient data security risks. Proposed solutions include increasing investment in technology infrastructure, ongoing training for health workers, and implementing stricter data security policies. By addressing these challenges, technology can significantly improve the effectiveness of health administration and patient care
Persepsi Dosen dalam Menerapkan Kurikulum Inovatif Huda, Hisbullah; Baihaqi, M.; Fathoni, Fathoni
Jurnal Alfazuna : Jurnal Pembelajaran Bahasa Arab dan Kebahasaaraban Vol. 8 No. 2 (2024): June
Publisher : Prodi Pendidikan Bahasa Arab FTK UIN Sunan Ampel

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15642/alfazuna.v8i2.2944

Abstract

Purpose- This paper aims to describe lecturers' perceptions of university readiness in implementing an innovative curriculum at UIN Sunan Ampel Surabaya, and lecturers' readiness to face the challenges of curriculum implementation related to the development of students' soft skills and hard skills. Design/Methodology/Approach- This type of research is descriptive quantitative research.  The subjects of this study were lecturers of the Arabic Language Education Study Program in the 4th semester of the 2022-2023 academic year. The number of lecturers in the Arabic Language Education Study Program at UIN Sunan Ampel Surabaya is 13 lecturers. To obtain data about their perceptions, questionnaires, interviews and documentation were used. To analyze the data that has been obtained, tendency analysis is used. Findings- The results of this study indicate that the lecturers' perceptions that the University is ready to implement an innovative curriculum called MBKM in the Arabic Language Education Study Program at UIN Sunan Ampel Surabaya show a very good level. The readiness of lecturers to implement an innovative curriculum in the Arabic Language Education Study Program at UIN Sunan Ampel Surabaya shows a good level and even tends to be very good, this is shown in the lecturers' understanding of the innovative curriculum, and also their skills to help improve students' soft skills and hard skills.
Detection of Damage Motor and Coal Crusher in Power Plant Tanjung Enim 3 X 10 MW Using Vibration Analysis Septano, Gurruh Dwi; Ikbal, Ikbal; Fathoni, Fathoni; Sriwijaya, Sayid Bahri; Putri, Salsanabila Mariestiara
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 68 No 3 (2024): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v68i3.378

Abstract

Motor and coal crushers are critical in coal size reduction for efficient energy production. Continuous operation often impacts their functionality, necessitating effective maintenance methods. This study employs vibration analysis to monitor the health and detect potential faults in the motor and coal crusher. Vibration values, measured under load and no-load conditions, were analyzed in vertical, horizontal, and axial directions using ISO 10816 standards. Results show that while vibration levels remained within safe limits, increased readings in specific areas, particularly at the Crusher NDE in axial direction under load conditions, suggest potential issues like misalignment or bearing wear. Prominent vibration peaks at lower frequencies in the spectrum further support these findings. This research underscores the importance of routine vibration monitoring to preemptively address machine faults, ensuring optimized operation and minimized downtime. Vibration analysis proves effective for predictive maintenance and operational reliability in coal processing systems.
Analisis Sentimen Pengguna Terhadap Faktor Penggunaan PayPal Menggunakan Metode Decision Tree Maharani, Maharani; Fathoni, Fathoni
Jurnal Ilmiah Teknologi Informasi Asia Vol 18 No 1 (2024): Volume 18 Nomor 1 (8)
Publisher : LP2M Institut Teknologi dan Bisnis ASIA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v18i1.1002

Abstract

PayPal, dompet digital dengan 429 juta pengguna global, tidak termasuk dompet digital yang umum digunakan di Indonesia sehingga perlu analisis sentimen masyarakat Indonesia terhadap layanan PayPal. Tujuan penelitian ini adalah untuk mengetahui sentimen masyarakat Indonesia terhadap PayPal berdasarkan teori bauran pemasaran 4P dan dapat menjadi referensi untuk peningkatan daya saing di Indonesia. Penelitian ini menggunakan model Decision Tree dengan kriteria gain ratio, information gain, dan gini index serta pengujian K-Fold Cross Validation menggunakan nilai fold=2, 3, 4, dan 5 untuk memproses 20.000 data ulasan Google Play Store. Hasilnya menunjukkan akurasi tertinggi pada pengujian 5-Fold Cross Validation dengan kriteria gain ratio memprediksi sentimen negatif terhadap aspek produk (97,33%), harga (99,68%), dan tempat (96,72%). Hal ini memberi PayPal peluang untuk memperbaiki kualitas ketiga aspek ini. Sementara itu, prediksi sentimen positif terhadap aspek promosi sebesar 62,18%, menandakan bahwa layanan promosi PayPal telah dinilai cukup baik.
Co-Authors Abdillah Putra, Muhafsyah Acta, Muhammad Fakhri Nadrota Adeliani, Adeliani Aderiyana, Fakih Rangga Akbar Adiprama, Faris Akbar Kurniawan, Iqbal Akbar, Rifko Akrom, Muhammad Adib Al Mas Ud, Khalid Albani, Muhammad Syarief Albukhori, M Rafli Alfarizi Ramadiansyah, Muhammad Alghifari, Muhammad Ali Ibrahim Alifayoezra, Muhammad Dzaky Amanda Ardhani, Dhita Amelia Amelia Amelia Putri, Shinta Andini Bahri, Cheisya Angelina Tompunu, Keisha Anindya Putri, Salsa Apriansyah Putra Aqil Zidane, Muhammad Arba'i, Sultan Ardhillah, Onky Ari Wedhasmara Arinie, Putri Mutiara Asyiq, Abdulloh Athallah, Deni Attika Putri, Shopi Aulia Karima, Dzakiah Aulia, Cantika Auliya, Lana Nur Ayuningtiyas, Pratiwi Azmi Zaky, Muhammad Baidhawi, Alif Basulina, Nur Annisa Cahya Aulia, Syifa Cha Kirana, Cha Clark Peter Wijaya, Adley Davinka Sembiring Depari, Alrayssa Dedy Kurniawan Demetria, Putri Diva Putri Munaspin, Zahra Dwiyansyah, Octa Egga Asoka Eka Saputra Fachrozi, Muhammad Al Fachry Abda El Rahman Fahmi Akbar, Fahmi Fahmi Aulia Hakim, Adzka Faiq, Al Ikhsan Faradhisa Ansori, Audia Fatihaturrahmah, Aisyah Fauzi, Muhamad Rizal Febriansyah, Dian Firman Muntaqo Gurruh Dwi Septano Gustiani, Sindy Hadipurnawan Satria Haidar Afif Mufid, Muhammad Hanggara, Bryan Hariza Marshella, Siti Hendrawan, Deni Agus Heni Siswanto Hikmahwarani, Fellycia Huda, Hisbullah Ikbal Ikbal Ikhwan Najatafani, Bintang Isa, Indra Griha Tofik Ispahan, Tarisha Istiqomah, Amalia Windy Jodi Pratama, Muhammad Khailani, Kgs M Luthfi Khoiriyah Harahap, Dayana Kusuma, Aisha Nuraini Lifiano Jamot Munthe, Gabriel Lucky Hermanto, Muhammad M Baihaqi Maharani Maharani, Maharani Manahan, Nico Sabar Maretta, Aulia Pinkan Maroni Maroni Masrury, Farhan Maulana, Rahmat Merisca Titiana, Nuke Muarif, Moh. Syamsul Muhammad Akib Muhammad Kurniawan, Hafiz Nabilatulrahmah, Raihana Nachwa, Syakillah Nailah Ramadhani, Indira Najwa Widasari, Yesya Nashiroh Ramadhani, Muthia Naufaldihanif, Rihan Nissa Oktariana, Choirun NIZAR, MOHAMMAD Nugraha, Allan Prasetia, Dika Prasetia Pratama, Muhammad Ramadhan Putra Primanita, Anggina Putri Casanova, Musdalifa Putri, Salsanabila Mariestiara Putri, Septhia Charenda Rachmad, Muhammad Ichsan Farrel Rafli Maulana, Muhammad Rahman, Muhammad Fadhil Rahmi Anissa, Cahya Raihana Putri, Naila Ramadhan, Fitrah Ramadhani Maulizidan, Muammar Riansyah, M Bintang Naufal Rielisa Putri, Adetya Rika Septiana Risyahputri, Aliyananda Rizka Mumtaz, Fadia Rizki, Raditya Dafa Rizkyllah, Anabel Fiorenza Robani, Muhammad Tsabita Rositiani, Ely Sabila, Amalia Saimi, Saimi Salsa Kinanty, Reina Sasmita, Ruth Mei Setia, Arvhi Randita Shifa Maharani, Wardah Sinaga, Moh Rizky Siti Khabibah Siti Maghfirotun Amin Sofuan Jauhari Sony Oktapriandi Sriwijaya, Sayid Bahri Suci Amalia Suci Fitriani, Suci Syahputra Zaki, Imam Syahputra, M Fathan Aqilah Tammam, Bimmo Fathin Theresia Pardede, Eva Theressa Hasioani Sianturi, Claudia Therina Lakeisyah, Eka Tri Alfandy, Muhammad Tri Zafira, Zahra Tsabitah, Laila Waton, Muhammad Nasrul Wilantara, Muhammad Pandu Wirnanti, Rintan Yasir Alghifari, Muhammad Yasyfi Imran, Athallah Zahran Afif, Muhammad