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Nursalim
Universitas Muhammadiyah Palu
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INTELLIGENCE SOCIAL MEDIA ANALYTICS PADA PEMERINTAH KOTA MAKASSAR PERIODE AGUSTUS-SEPTEMBER 2023 Anwar; Nursalim; jeffry, jeffry
Journal Pharmacy and Application of Computer Sciences Vol. 2 No. 1: Februari: 2024: JOPACS
Publisher : Arlisaka Madani Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59823/jopacs.v2i1.51

Abstract

Perkembangan teknologi informasi dan komunikasi, media sosial telah menjadi salah satu sumber utama informasi dan wadah ekspresi masyarakat, warga Makassar aktif berpartisipasi dalam berbagai platform media sosial seperti Facebook dan Instagram, menjadikannya sumber data yang berharga untuk memahami pandangan, kebutuhan, dan isu-isu yang sedang berkembang dalam komunitas. Dengan menggunakan teknik web scraping dan API (Application Programming Interface) untuk pengumpulan data, teknik analisis data meliputi analisis sentiment, analisis temporal untuk mengidentifikasi tren, analisis jaringan sosial untuk memahami hubungan antar entitas di media sosial, dan analisis tekstual untuk mengidentifikasi topik atau entitas penting dalam teks dengan pengkasifikasian menggunakan algoritma Naïve bayes. Dalam periode Agustus sampai September 2023, ditemukan sentiment positif sebesar 55,07%, sentiment negatif 21,01%, sentiment netral 23,92 dari jumlah post 2.666, jumlah interaksi 110.25, dengan melibatkan 754 akun yang berpartisipasi dalam berbagai isu yang dianalisis
MEMBANGUN JIWA PEKA (PRODUKTIF, EDUKATIF, KOOPERATIF, DAN AKSI) PADA KARANG TARUNA DI DESA WANI II KECAMATAN TANANTOVEA KABUPATEN DONGGALA Rizal; Nursalim
Sambulu Gana : Jurnal Pengabdian Masyarakat Vol. 4 No. 3 (2025): September 2025
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/sambulu_gana.v4i3.8528

Abstract

This community service program aims to develop a sensitive spirit among the younger generation by strengthening the productive, educational, cooperative, and action-oriented aspects of Karang Taruna members in Wani II Village, Tanantovea District, Donggala Regency. The challenges faced include low youth participation in positive activities, underutilization of their potential, and the influence of negative lifestyles that can harm their future. The program's implementation methods included outreach, workshops, skills training, mentoring, and social action activities involving all Karang Taruna members. Results demonstrated increased motivation and social awareness among members, improved organizational management and entrepreneurship skills, and the creation of stronger collaboration among youth. Through this program, Karang Taruna in Wani II Village has transformed into a platform for developing youth character and creativity, while simultaneously serving as a driving force for social development at the village level
UNDERSTANDING MICROCONTROLLERS AND ROBOTICS THROUGH THE APPLICATION OF INQUIRY METHODS IN BASIC ELECTRONICS COURSES Cut Susan Octiva; Maryadi, Maryadi; Dikky Suryadi; Nursalim, Nursalim; T. Irfan Fajri
Jurnal Cakrawala Ilmiah Vol. 3 No. 12: Agustus 2024
Publisher : Bajang Institute

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Abstract

This analysis aims to explain the understanding of microcontrollers and robotics through the application of inquiry methods in basic electronics courses. The type of research used is classroom research. The sample of this study was 40 private campus students in Medan City who were taken randomly. This quantitative method uses inquiry methods learning model. The results of the study indicate that the application of the inquiry method can make students understand microcontrollers and robotics in basic electronics courses
Impact of Using Big Data Analisys in Increasing Personalization of Learning Rahmawati, Rahmawati; Nursalim, Nursalim; Alfiah, Agry; Hasyim, Andi; Fawait, Aldi Bastiatul
Journal of Computer Science Advancements Vol. 2 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i2.906

Abstract

In today’s digital era, big data analytics has become a very relevant topic to improve learning personalisation as it can collect and analyse very large and complex data. Big data analytics can lead to a more efficient learning system by collecting and analysing huge and complex data. In education, big data analytics can be used to understand students’ learning behaviour, their needs and preferences, so that learning and learning outcomes can be improved. This research is conducted with the aim of using big data analytics to improve learning personalisation. It also aims to find out the challenges of using big data analytics to improve learning personalisation. The method used in this research is quantitative method. This method is a way of collecting numerical data that can be tested. Data is collected through the distribution of questionnaires addressed to students. Furthermore, the data that has been collected from the distribution of the questionnaire, will be accessible in Excel format which can then be processed with SPSS. From the research results, it can be seen that the big data analysis has shown that the use of more detailed and accurate data can help teachers find students’ special needs and improve learning effectiveness. As a result, teachers can create learning strategies that are better suited to students’ needs and improve their learning outcomes. From this study, we can conclude that the use of big data analytics in improving personalisation allows teachers to understand better the individual needs and preferences of students, so that more suitable learning plans can be developed and student engagement can be improved.
Co-Authors Aldi Bastiatul Fawait Fawait Alfiah, Agry Andy Rachman Anwar Budi Mulyono Cut Susan Octiva Cut Susan Octiva Dikky Suryadi Eva Desembrianita Habibu, Rahmawati Hajra Rasmita Ngemba Hasyim, Andi I Putu Dody Suarnatha Ivonne Ayesha Jeffry Jeffry Maryadi Maryadi Muhamad Ziaul Haq Muhammad Lukman Hakim Mutasar Mutmainah Mutmainah Nalis Hendrawan Novrini Hasti Nur Wahda Ayu Setiawati Rahmawati, Rahmawati Rizal Rizkiani Iskandar Roy Mubarak Sri Wahyuningsih, Suluh Suluh Sri Wahyuningsih Syarifuddin Syarifuddin Tovan, Tovan Uli Wildan Nuryanto Umar Umar