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PEMETAAN TINDAK KRIMINALITAS DI KOTA PALOPO TAHUN 2015 Lestari, Alia; Aswad, Muhammad Hajarul
Palita: Journal of Social Religion Research Vol. 1 No. 1 (2016): Palita: Journal of Social Religion Research
Publisher : LP2M IAIN Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/pal.v1i1.59

Abstract

The crime occurred in Palopo city each year is volatile enough. Although they tend to fall through leaving 176 cases in 2013, it does not mean that Palopo is relatively safe from the criminal acts. The societies of Palopo especially the police, it is essential to know the areas included in the crime-prone areas. Therefore, this study tried to map the crimes occurred in Palopo city by applying Correspondence Analysis. The research objects were criminal data reported in the police of Palopo City from January to September 2015. From Chi-Square analysis, it was found that there was a relationship between the variables of Criminal Action Types and Occurrence Time.Similarly, the Criminal Action Types with Occurrence Places, and Criminal Action Types for the reasons occurring Criminal Acts also showed a relationship with criminal acts against the place and the reasons for the crimes. Furthermore, based on the correspondence analysis it was found that the most significant crimes in the area of the police of Palopo are the theft of the motorcycles and the smallest crimes are persecutions. Most of the time incidents occurred at 24.00-07.00. The crimes occurred in Wara district
PEMETAAN TINDAK KRIMINALITAS DI KOTA PALOPO TAHUN 2015 Lestari, Alia; Aswad, Muhammad Hajarul
Palita: Journal of Social Religion Research Vol. 1 No. 1 (2016): Palita: Journal of Social Religion Research
Publisher : LP2M IAIN Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/pal.v1i1.59

Abstract

The crime occurred in Palopo city each year is volatile enough. Although they tend to fall through leaving 176 cases in 2013, it does not mean that Palopo is relatively safe from the criminal acts. The societies of Palopo especially the police, it is essential to know the areas included in the crime-prone areas. Therefore, this study tried to map the crimes occurred in Palopo city by applying Correspondence Analysis. The research objects were criminal data reported in the police of Palopo City from January to September 2015. From Chi-Square analysis, it was found that there was a relationship between the variables of Criminal Action Types and Occurrence Time.Similarly, the Criminal Action Types with Occurrence Places, and Criminal Action Types for the reasons occurring Criminal Acts also showed a relationship with criminal acts against the place and the reasons for the crimes. Furthermore, based on the correspondence analysis it was found that the most significant crimes in the area of the police of Palopo are the theft of the motorcycles and the smallest crimes are persecutions. Most of the time incidents occurred at 24.00-07.00. The crimes occurred in Wara district
Manajemen Branding Perpustakaan Pengelolaan Desain Ruang Perpustakaan dalam Meningkatkan Minat Baca Siswa di SMP Negeri 07 Masamba Nurleli, Nurleli; Lestari, Alia
Jurnal Pendidikan Refleksi Vol. 14 No. 1 (2025): Jurnal Pendidikan Refleksi
Publisher : P3I Luwu Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan untuk mendeskripsikan pengelolaan desain ruang perpustakaan dalam meningkatkan minat baca siswa di SMP Negeri 07 Masamba. Pendekatan penelitian menggunakan metode kualitatif deskriptif dengan teknik pengumpulan data melalui observasi, wawancara, dan dokumentasi. Informan penelitian meliputi kepala sekolah, kepala perpustakaan, staf perpustakaan, serta siswa. Analisis data dilakukan melalui tahapan reduksi data, penyajian data, dan penarikan kesimpulan dengan pemeriksaan keabsahan data menggunakan triangulasi sumber dan teknik. Hasil penelitian menunjukkan bahwa pengelolaan desain ruang perpustakaan telah dilaksanakan secara terencana dan kolaboratif dengan memperhatikan standar minimal perpustakaan sekolah, meliputi penataan ruang baca, area koleksi, dan fasilitas pendukung. Desain ruang yang fungsional dan nyaman berperan sebagai faktor pendukung dalam menciptakan suasana belajar yang kondusif, meskipun minat baca siswa masih cenderung dipengaruhi oleh dorongan eksternal. Kondisi tersebut dipengaruhi oleh keterbatasan variasi koleksi bacaan dan belum optimalnya integrasi program literasi yang inovatif. Penelitian ini menyimpulkan bahwa desain ruang perpustakaan memiliki kontribusi penting dalam mendukung minat baca siswa, namun perlu disinergikan dengan pengayaan koleksi dan pengembangan program literasi berkelanjutan agar budaya membaca dapat tumbuh secara mandiri di lingkungan sekolah.
Sentiment Analysis of the 2022 Fuel Price Hike Using the Naïve Bayes Classifier Lestari, Alia; Aswad, Muhammad Hajarul; Masri, Subekti
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 11, No 1 (2026): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v11i1.36473

Abstract

This study examines public opinion towards Indonesia’s 2022 fuel price hike using social media analytics and assesses the pace of a supervised machine learning classifier for policy-oriented sentiment analysis. The research aimed to answer the following two questions (1) What was the prevailing public sentiment articulated on Twitter after fuel pricing announcement? and (2) How well is a Naïve Bayes classifier able to classify sentiment polarity in this domain? We employed a quantitative cross-sectional design utilizing Twitter data obtained from 3–4 September 2022 via the hashtags #hargabbm and #bbmnaik. Ultimately, after preprocessing, there were 1,867 unique tweets out of the 2,003 retrieved ones. Training data consisted of a total of 489 manually labeled tweets, and 1,378 for testing. Tokenization and TF–IDF weighting were performed on text data, while the sentiment classification was done using Gaussian Naïve Bayes model and evaluated through confusion matrix metrics. The results suggest that public sentiment was overwhelmingly negative during the analysis period and that the classifier reached an accuracy of 94.89% with a precision of 73.40%, recall of 100%, and F1-score of 84.66. These findings show that probabilistic text classification offers newsworthy evidence about whether the public unanimously supports economically sensitive policies (or not), with voltage and salience meaningfully specified.