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All Journal Unri Conference Series: Community Engagement Malcom: Indonesian Journal of Machine Learning and Computer Science
Herianto Herianto
Universitas Hang Tuah Pekanbaru
Humanities Computer Science & IT

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Optimalisasi akses pelayanan kesehatan oleh kaum dhuafa dan manajemen data pada Rumah Relawan Dhuafa berbasis web di Kabupaten Pelalawan Provinsi Riau Siska Mayang Sari; Herianto Herianto; Raja Fitrina Lestari
Unri Conference Series: Community Engagement Vol 4 (2022): Seminar Nasional Pemberdayaan Masyarakat
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Riau

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Abstract

Poverty is a social problem in society, especially in developing countries. The poor, also known as the dhu'afa in Indonesia, is a component of society that cannot be isolated and receive guaranteed protection from the state. The government carries out work programs to reduce poverty and provide services that can be reached by all levels of society. Non-Governmental Organizations (NGOs) play a role in assisting the government in carrying out its programs and serving marginal groups (including the poor). The Rumah Relawan Dhuafa Foundation is an NGO in Pelalawan district, Riau with limited facilities and volunteer skills that have carried out activities to facilitate the poor in obtaining health services. This community partnership program activity aims to overcome the problems experienced by the Rumah Relawan Dhuafa. Community service programs carried out during June September 2022 in the form of 1) Designing an administrative information system for the Rumah Relawan Dhuafa, 2) Designing an application for the Rumah Relawan Dhuafa, 3) Providing counseling, training, and guidance on SOPs for service/patient admissions, and 4) Providing counseling, Training and mentoring for volunteers related to first aid handling skills. After a series of service activities were carried out, the results obtained were the formation of a home for poor volunteers, increased knowledge and skills of volunteers regarding the use of application systems, preparation of standard operating procedures for patient acceptance, and first handling of accidents, those will be used by the volunteer in RRD to facilitated the Dhuafa to receive the health care services.
Analisis Sentimen Terhadap Bantuan Langsung Tunai (BLT) Bahan Bakar Minyak (BBM) Menggunakan Support Vector Machine: Sentiment Analysis of Cash Direct Assistance Distribution for Fuel Oil Using Support Vector Machine Rizky Rahman Salam; Muhammad Fajri Jamil; Yusril Ibrahim; Rahmaddeni Rahmaddeni; Soni Soni; Herianto Herianto
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 3 No. 1 (2023): MALCOM April 2023
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v3i1.590

Abstract

Bahan bakar minyak (BBM) merupakan salah satu kebutuhan pokok masyarakat. Namun, harga BBM yang tinggi dapat menyebabkan beban ekonomi bagi masyarakat yang tidak mampu. Dalam rangka mengatasi masalah ini, pemerintah telah menerapkan program Bantuan Langsung Tunai (BLT) sebagai bentuk bantuan bagi masyarakat yang mengalami ketidakseimbangan ekonomi. Tujuan dari penelitian ini adalah untuk menganalisis sentimen masyarakat terhadap program Bantuan Langsung Tunai (BLT) Bahan Bakar Minyak (BBM). Penelitian ini menggunakan teknik pengumpulan data scraping, yaitu mengambil data dari media sosial Instagram. Jumlah yang digunakan sebanyak 356 data. Proses klasifikasi yang digunakan berdasarkan model pembelajaran dari Support Vector Machine (SVM) dan evaluasi dengan confusion matrix. Dari hasil perhitungan, terlihat bahwa proses klasifikasi sentimen menggunakan metode SVM didapatkan tingkat accuracy 85,98%, rata-rata nilai precision 82,25%, nilai rata-rata recall 66,35%, dan nilai rata-rata f-measure 73,44%. Hasil yang diperoleh menunjukkan bahwa sentimen negatif lebih banyak daripada sentimen positif, dengan masing-masing persentase 78.61% dan 21.34%. Dari analisis sentimen yang dilakukan, ditemukan bahwa sentimen negatif adalah yang paling banyak muncul, hal ini menunjukkan bahwa masyarakat tidak puas dengan bantuan langsung tunai BBM. Sebagai respon terhadap sentimen negatif yang dominan, perlu diterapkan strategi untuk melakukan pemerataan bantuan langsung tunai dan pendata’an yang terstruktur agar tingkat kekecewaan masyarakat dapat diminimalisir.
Co-Authors Muhammad Fajri Jamil Rahmaddeni Rahmaddeni Raja Fitrina Lestari Rizky Rahman Salam Siska Mayang Sari Soni Yusril Ibrahim