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All Journal Academia Open Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi NUSANTARA: Jurnal Pengabdian Kepada Masyarakat SENTRI: Jurnal Riset Ilmiah Kybernology : Journal of Government Studies
Rauhulloh Ayatulloh Khomeini Noor Bintang
Universitas Muhammadiyah Karanganyar
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Optimasi Penggunaan Whatsapp Business Sebagai Sarana Pengembangan Pemasaran Produk Usaha Anggota PKK Nova Tri Romadloni; Nisa Dwi Septiyanti; Rauhulloh Ayatulloh Khomeini Noor Bintang
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 2 No. 1 (2023): Februari 2023
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v2i1.1705

Abstract

In realizing social welfare in terms of the economy, it starts from a small scope, namely the family. Where each family has a role as a PKK member, through this membership can provide training to market the products owned by each member so that they can overcome the problems that exist in the sale of products that are not well known to many people or have a less wide reach. This community service activity aims as an effort to increase knowledge and insight regarding digital marketing, especially focusing on using Whatsapp business  so that it is more optimal in marketing products so that product sales results increase and increase family income. This activity was attended by PKK members Badran Mulyo, Lalung, Karanganyar. Some PKK members already have or already have WhatsApp accounts, but some others have not used WhatsApp specifically for business, namely Whatsapp business . The training is carried out using the devices of each member so that they can be directly applied to their respective businesses and products during the training. The results of the training were that PKK members were very enthusiastic about optimizing the use of whatsapp business  as a media for product marketing, but in this training they still needed advanced training in aspects of creating whatsapp story content to make it more attractive to potential buyers.
Penyuluhan Bahaya Penyebaran Berita Palsu (Hoaks) Bagi Kelompok Ibu-Ibu Pemberdayaan Kesejahteraan Keluarga (PKK) Nisa Dwi Septiyanti; Nova Tri Romadloni; Rauhulloh Ayatulloh Khomeini Noor Bintang
Jurnal Pengabdian kepada Masyarakat Vol. 3 No. 3 (2023): Agustus : Jurnal Pengabdian kepada Masyarakat
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/nusantara.v3i3.1407

Abstract

The increase in social media users in recent years has led to an abundance of content that allows users to get new information quickly and easily. However, not all of the information obtained is correct information. Even today, a lot of fake information (hoaxes) is being spread deliberately made to achieve certain goals. In order to be wise in receiving information, it is necessary to realize the importance of media literacy. According to a survey, parents tend to spread hoax news more than young people. This is mostly done by mothers through chat which easily forwards information without reading and understanding it first. This activity aims to provide knowledge about the benefits of using social media as well as an understanding of the negative sides and dangers of hoaxes. This activity targeted PKK mothers in Jatimulyo Village, Jatipuro District, Karangnayar Regency, with 34 participants. This activity was carried out using lecture, discussion, and question-and-answer methods. It is hoped that this community service activity can help mothers navigate the various available media content so that they can make informed decisions about what they choose to consume.
Towards Sustainable Practices: Green Accounting Implementation and Reporting Model in a Water Supply Utility Resi Intan Penatari; Terrensia Sekar Pamastutiningtyas; Rauhulloh Ayatulloh Khomeini Noor Bintang
Academia Open Vol 8 No 1 (2023): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.8.2023.7814

Abstract

This study presents a comprehensive analysis of the implementation of green accounting in a local water supply utility (PDAM) and introduces a green accounting-based reporting model. The research aims to assess the internal and external perspectives of green accounting adoption within PDAM Sukoharjo, employing a descriptive qualitative method. Findings indicate that PDAM Sukoharjo has not fully embraced the green accounting concept. However, this study contributes by introducing a reporting model founded on green accounting principles, promising to enhance stakeholder satisfaction and promote sustainable practices in the water supply sector. Highlight: The study assesses the implementation of green accounting in a local water supply utility, offering insights into its adoption within the sector. Findings reveal that PDAM Sukoharjo has room for improvement in fully embracing the green accounting concept for sustainable practices. The research introduces a novel green accounting-based reporting model aimed at enhancing stakeholder satisfaction and promoting sustainability in the water supply industry. Keyword: Green Accounting, Water Supply Utility, Sustainability, Reporting Model, Stakeholder Satisfaction
Journey to Smart City: The Case of Smart City Development in Karanganyar Regency Muhammad Nurul Huda; Muhammad Samsuri; Rauhulloh Ayatulloh Khomeini Noor Bintang
Kybernology : Journal of Government Studies Vol 3, No 2 (2023): Oktober 2023
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/kjgs.v3i2.12780

Abstract

A smart city is a modern and advanced city that is integrated with digital systems that support convenience and comfort for its residents. Initially, the smart city concept was aimed at developed countries that have adequate infrastructure, but in Indonesia, district or city governments can improvise in its implementation according to the needs and capabilities of local governments. The aim of this research is to analyze the obstacles and strategies for implementing smart cities that are adapted based on the conditions of the Karanganyar Regency area. The research method uses descriptive-qualitative research, which is linked to empirical reality with applicable theory. Data is obtained from journal references, regional regulations, the Karanganyar Regency smart city master plan book, etc. The results show that the journey towards a smart city in Karanganyar Regency has been documented in the 2018–2023 RPJMD, but its implementation is faced with infrastructure (technology), structural (HR and budget), and superstructure (institution and policy) problems.
CLASSIFICATION OF SMS SPAM WITH N-GRAM AND PEARSON CORRELATION BASED USING MACHINE LEARNING TECHNIQUES Nova Tri Romadloni; Nisa Dwi Septiyanti; Cucut Hariz Pratomo; Wakhid Kurniawan; Rauhulloh Ayatulloh Khomeini Noor Bintang
SENTRI: Jurnal Riset Ilmiah Vol. 3 No. 2 (2024): SENTRI : Jurnal Riset Ilmiah, February 2024
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v3i2.2252

Abstract

The Short Message Service (SMS) has garnered widespread popularity due to its simplicity, reliability, and ubiquitous accessibility.This study aims to enhance the efficacy of SMS classification by refining the classification process itself. Specifically, it strives to streamline the process by diminishing feature dimensions and eliminating inconsequential attributes. The textual data undergoes preprocessing, which involves employing the N-Gram technique for feature representation, followed by meticulous feature selection utilizing Pearson Correlation. The study employs 5 of classification algorithms. Notably, the findings underscore that the optimal outcomes emerge from the fusion of the N-Gram methodology with feature selection through Pearson Correlation. Among these, the Support Vector Machine methodology stands out, exhibiting a remarkable 91.41% enhancement in accuracy without feature selection, a further improvement to 91.96% through N-Gram utilization, and a final performance of 70.80% following the inclusion of weighted correlation. However, it is imperative to acknowledge the limitations inherent in the model's generalizability, primarily stemming from the utilization of a relatively modest dataset. Despite the efficacy of Pearson correlation and N-gram-based feature selection in curbing data dimensionality and enhancing processing efficiency, certain pertinent features may have been overlooked, or the chosen attributes might not be optimally suited for specific classifications.
Co-Authors Cucut Hariz Pratomo Muhammad Nurul Huda Muhammad Samsuri Nisa Dwi Septiyanti Nova Tri Romadloni Resi Intan Penatari Terrensia Sekar Pamastutiningtyas Wakhid Kurniawan