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All Journal Komunikator WARTA Jurnal The Messenger Briliant: Jurnal Riset dan Konseptual Desimal: Jurnal Matematika JURTEKSI Edukids: Jurnal Pertumbuhan, Perkembangan, dan Pendidikan Anak Usia Dini Journal La Sociale Jurnal Manajemen dan Ilmu Administrasi Publik (JMIAP) Journal Peqguruang: Conference Series Soshum: Jurnal Sosial dan Humaniora Quantum : Jurnal Pembelajaran IPA dan Aplikasinya LECTURES: Journal of Islamic and Education Studies Jurnal Mutiara Pendidikan ALENA : Journal of Elementary Education Jurnal Komunikasi Esensi Daruna Impulse: Journal of Research and Innovation in Physics Education Millatuna: Jurnal Studi Islam Integra: Journal of Integrated Mathematics and Computer Science
Ayu Amalia
Program Studi Ilmu Komunikasi Universitas Muhammadiyah Yogyakarta, Jl. Lingkar Selatan, Tamantirto, Kasihan, Bantul, Yogyakarta 55183. Email: ami.khavid@umy.ac.id
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SENTIMENT ANALYSIS OF PUBLIC OPINION ON SOCIAL MEDIA X TOWARDS ETHNIC ROHINGYA IN INDONESIA Amalia, Ayu; Damayanti, Damayanti
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 10 No. 3 (2024): Juni 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v10i3.3079

Abstract

Abstract: Rohingya refugees continue to arrive in Aceh by sea by boat. Based on data from the United Nations High Commissioner for Refugees (UNCHR), as of December 10 2023, 1,543 Rohingya refugees had landed in Aceh since mid-November 2023. The increasing number of refugees arriving has caused resistance from local residents. This rejection was the result of the bad experiences of Acehnese people with Rohingya refugees. The main problem of this research is that analyzing public opinion on Rohingya ethnicity in Indonesia is still done manually by looking at tweets one by one. The solution to overcome this is to analyze opinions using data crawling with the Naïve Bayes algorithm. The purpose of this research is to determine public opinion on Twitter media regarding refugee refugees. The method used in this research is the Naïve Bayes algorithm method. The results of the research show that the Naïve Bayes algorithm can classify public opinion sentiment on Twitter social media towards the Rohingya Ethnic in Indonesia into positive sentiment. and negative with a total accuracy of 70%. So, the words "Rohingya Ethnicity in Indonesia" tend to be accepted by the X community with the arrival of Rohingya refugees in Indonesia.            Keywords: rohingya; twitter; naïve bayes; opinion  Abstrak: Pengungsi Rohingya terus berdatangan ke Aceh melalui jalur laut dengan menggunakan perahu. Berdasarkan hasil data United Nations High Commissioner for Refugees (UNCHR), per 10 Desember 2023 sebanyak 1.543 pengungsi Rohingya datang ke dalam wilayah Aceh. Meningkatnya jumlah pengungsi yang datang menimbulkan perlawanan dari warga setempat. Penolakan ini imbas dari pengalaman buruk warga Aceh terhadap pengungsi Rohingya. Permasalahan utama penelitian ini yaitu menganalisis opini publik terhadap Etnis Rohingya di Indonesia masih secara manual dengan melihat tweet satu persatu. Solusi mengatasi hal tersebut maka analisis opini menggunakan crawling data dengan algoritma Naïve Bayes. Tujuan penelitian ini untuk mengetahui opini publik pada media twitter terkait pengungsi Rohingya. Metode yang digunakan dalam penelitian ini yaitu metode algoritma Naïve Bayes. Hasil penelitian menunjukan bahwa pada algoritma Naïve Bayes dapat mengklasifikasikan sentimen dengan total akurasi 70%. Maka “Etnis Rohingya di Indonesia” cenderung dapat diterima oleh masyarakat X dengan datangnya pengungsi Rohingya di Indonesia. Kata kunci: rohingnya; twitter; naïve bayes; opini 
Analisis Korelasi Akuntabilitas dan Responsivitas dalam Implementasi Program SDGs di Kabupaten Jeneponto Tahun 2022-2024 Lail, Hijrah; Fajar Putera, Arifin; Akmal Ibrahim, Muhammad; Ahmad, Badu; Susanti, Gita; Munandar, Aris; Amalia, Ayu
Jurnal Manajemen dan Ilmu Administrasi Publik (JMIAP) Vol 7 No 4 (2025): Jurnal Manajemen dan Ilmu Administrasi Publik (JMIAP)
Publisher : Laboratorium Jurusan Ilmu Administrasi Negara Fakultas Ilmu Sosial Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jmiap.v7i4.1329

Abstract

This study examines the relationship between Sustainable Development Goals (SDGs) achievement, government accountability, and responsiveness in Jeneponto Regency during the 2022-2024 period. Data were obtained from a public perception survey on service delivery (n = 120 respondents) using proportionate stratified random sampling, supported by secondary data from SDG achievement reports, the regional development plan (RPJMD), and SAKIP documents. The questionnaire was developed based on SAKIP accountability indicators and public service responsiveness frameworks, and was tested for validity and reliability. Pearson correlation analysis was conducted after meeting normality and linearity assumptions. The results reveal disparities in SDG progress, with notable improvements in education and health, while economic and environmental indicators lag behind. Government accountability remains at a moderate level, and responsiveness to citizen complaints is perceived as low. Significant positive correlations were found between SDG achievement and both accountability (r = 0.61) and responsiveness (r = 0.53), indicating that governance quality strongly shapes sustainable development outcomes. These findings highlight the need to strengthen SDG integration into local performance management systems and to enhance public service responsiveness as key prerequisites for accelerating sustainable development in Jeneponto.
Pengembangan Model Implementasi Agile Governance pada Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu di Provinsi Sulawesi Puji Lestari, Nana; Fajar Putera, Arifin; Hasniati, Hasniati; Rusdi, Muhammad; Nara, Nurdin; Amalia, Ayu
Jurnal Manajemen dan Ilmu Administrasi Publik (JMIAP) Vol 7 No 4 (2025): Jurnal Manajemen dan Ilmu Administrasi Publik (JMIAP)
Publisher : Laboratorium Jurusan Ilmu Administrasi Negara Fakultas Ilmu Sosial Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jmiap.v7i4.1330

Abstract

This study examines the implementation of Agile Governance in the Investment and One-Stop Service Offices (DPMPTSP) across Sulawesi provinces, addressing rapid regulatory shifts under the OSS-RBA system and the absence of an empirically validated implementation model. The study aims to analyze the effects of environmental factors, agile capabilities, and governance capabilities on business operations and value delivery, and to develop an evidence-based implementation model. A sequential explanatory mixed-methods design was applied. The quantitative phase surveyed 380 civil servants in South Sulawesi, Central Sulawesi, and West Sulawesi and was analyzed using SEM-PLS. The qualitative phase, conducted in West Sulawesi, involved in-depth interviews, performance document analysis (SKM, SAKIP, budget absorption, investment realization), and NVivo-based thematic coding. Results show that environmental factors do not directly affect business operations (E→B not significant), but their influence emerges through agile and governance capabilities. The strongest relationship is governance capability → value delivery (G→R; highest F²), followed by agile capability → governance capability (A→G). Qualitative findings confirm that high SKM scores (“Very Good”), SAKIP grades (“A”), and budget absorption above 90% reflect administrative compliance rather than adaptive agility. Key barriers include hierarchical bureaucracy, regulatory instability, and uneven human resources competencies. The study proposes an Agile Governance implementation model emphasizing the simultaneous strengthening of agile and governance capabilities, flexible cross-unit coordination, real-time data utilization, and stronger feedback loops with business actors. Policy implications include integrating adaptiveness indicators into performance management, enhancing data-driven service control units, and building adaptive capacities among civil servants in licensing and investment services.
Co-Authors Abdul Khalik Ahmad, Badu Akmal Ibrahim, Muhammad Akmal Junaidi Andi Vita Sukmarini, Andi Vita Aris Munandar Bayu Setiaji Burhanuddin, Radyta Achmad Damayanti Damayanti Daynuari, Mellina Ayu Ernawulan Syaodih Fajar Putera, Arifin Fauzi, Apandi Achmad Fitrah, Nur Gita Susanti, Gita Gustiana, Asep Deni Hamim Sudarsono . Hariyono, Eko Hasniati, Hasniati Heri Hidayat, Heri Hidayati, Athi’ Imam Sopingi Irma Fauziah Lail, Hijrah Lumbanraja, Favorisen R Muhammad As’ad Muhammad Rusdi Nara, Nurdin Nurdiansah, Nano Puji Lestari, Nana Putera, Arifin Fajar Riki Perdana Selvi, Nurhayati Shanty Irma Idrus Sri Hastati Sudiwijaya, Erwan Sukmono, Filosa Gita Yumna, Hanin Yusmanizar Yusmanizar