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All Journal Journal of Applied Engineering and Technological Science (JAETS) Aksiologi : Jurnal Pendidikan dan Ilmu Sosial
Mohamad Noor
Universitas Nusa Mandiri
Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Implementasi Bantuan Sosial Tunai Bagi Masyarakat Yang Terdampak Pandemi Covid-19 Mohamad Noor; Satria Budi; Dwiza Riana
Aksiologi : Jurnal Pendidikan dan Ilmu Sosial Vol 2, No.2 (2022) : April
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/aksiologi.v2i2.68

Abstract

Penelitian ini bertujuan untuk mendapatkan informasi yang berkaitan dengan pelaksanaan penyaluran program bantuan sosial tunai bagi masyarakat yang terdampak COVID-19 melalui PT Pos Indonesia. Penelitian ini dilatarbelakangi oleh keingintahuan penulis terhadap tingkat kepuasan dan harapan dari Keluarga Penerima Manfaat (KPM) program bantuan sosial tunai yang disalurkan melalui PT Pos Indonesia. Jumlah sampel yang terdapat pada penelitian ini yaitu sebanyak 2.131 responden yang tersebar di 69 Kabupaten/Kota atau sekitar 21 Provinsi yang telah berpartisipasi dalam kuisioner yang telah dibuat, dari hasil analisis data yang sudah dikumpulkan didapatkan hasil bahwa  masih terdapat kesenjangan yang terjadi antara kinerja yang dihasilkan dengan harapan yang seharusnya diperoleh penerima manfaat, seperti: 1) PT Pos Indonesia memiliki peralatan yang canggih dalam melayani KPM (Q4 = -0,12), 2) Pegawai PT  Pos Indonesia tidak memperhatikan dengan baik dalam melayani KPM (Q8 = -0,34), 3) Pegawai PT  Pos Indonesia tidak perduli terhadap KPM (Q14 = -0,41), 4) Pegawai PT  Pos Indonesia sangat lambat dalam melayani KPM (Q19 = -0,38) serta 5) KPM merasa kesulitan dalam mengambil bantuan di Kantor Pos (Q23 = -0,41). Kesimpulan dari kegiatan ini bahwa secara umum program penyaluran bantuan sosial tunai bagi masyarakat yang terdampak COVID-19 melalui PT Pos Indonesia sudah cukup baik, efektif dan efisien serta sangat potensial dalam memberdayakan keluarga penerima manfaat secara berkelanjutan, namun masih ada hal-hal yang harus diperbaiki seperti: pelayanan pegawai PT Pos Indonesia kepada para keluarga penerima manfaat harus lebih ditingkatkan serta kewajiban dari PT Pos Indonesia sendiri yang seharusnya mengirimkan dana bantuan tersebut kepada KPM itu sendiri (jasa antar).
Optimization of Sentiment Analysis of Program Sembako(BPNT) Based on Twitter Mohamad Noor; Windu Gata; Risnandar Risnandar; Fakhrudin Fakhrudin; Anisah Novitarani
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 1 (2022): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (669.652 KB) | DOI: 10.37385/jaets.v4i1.1006

Abstract

Food Assistance Program (Program Sembako) is a development of the Non-Cash Food Assistance (BPNT) program which has been implemented by the Ministry of Social Affairs since 2017, namely of food assistance in the form of non-cash from the government which is given to Beneficiary Families (KPM) every month through an electronic account mechanism that is used only to buy food in food traders/e-warong in collaboration with banks. Twitter social media has now become one of the places to disseminate information about the Program Sembako/BPNT. This case study uses text mining techniques with the support vector machine (SVM), Naïve Bayes (NB) and K-Nearest Neighbor (k-NN) methods which aims to classify public sentiment towards the Program Sembako/BPNT on Twitter. The dataset used is tweets in Indonesian with the keywords “BPNT” and “Kartu Sembako” with a total dataset of 1,094 tweets. Text mining, transformation, tokenize, stemming and classification, etc. A useful technique for constructing sentiment classification and analysis. RapidMiner and Gataframework are also used to help create sentiment analysis to measure classification values. The results obtained by optimization using Particle Swam Optimization (PSO) using the support vector machine (SVM) algorithm and the accuracy value obtained is 78.02%, with a precision value of 78.73%, a recall value of 82.16%, and an AUC of 0.848
News Portal Website Measurement Analysis Using ISO/IEC 25010 And McCall Methods Satria Budi; Windu Gata; Mohamad Noor; Supriadi Pangabean; Cicih Sri Rahayu
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 1 (2022): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (430.722 KB) | DOI: 10.37385/jaets.v4i1.1094

Abstract

Information system is an asset for a company when the information system is managed properly. In the past, newspapers have become one of the main sources for people who want to get the latest news about what is happening around them. But now, the important role of newspapers is gradually being replaced by online-based news portals that can deliver news very quickly. PT Info Pena Indonesia itself utilizes an information technology in carrying out the process of managing and disseminating the news they produce with the help of a web portal called Jitunews. This research is quantitative in nature, namely explaining the use of survey methods by distributing questionnaires to users of the Jitunews news portal site for data about the characteristics of the ISO/IEC 25010 and McCall methods. The results of the research conducted on the backend and frontend pages show that the Jitunews website deserves a "Good" interpretation value. However, the security and functional suitability variables contained on the frontend page have the lowest values of all the variables studied, namely 74.43% and 77.50% with the interpretation of "Enough". This can be input for stakeholders to improve the quality of the website in order to increase user satisfaction with the Jitunews news website portal.
Co-Authors Anisah Novitarani Cicih Sri Rahayu Dwiza Riana Fakhrudin Fakhrudin Risnandar Risnandar Satria Budi Satria Budi Supriadi Pangabean Windu Gata