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All Journal International Journal of Electrical and Computer Engineering Jurnal Informatika Jurnal Informatika Proceeding International Conference on Information Technology and Business Prosiding Seminar Nasional Darmajaya Budimas : Jurnal Pengabdian Masyarakat Journal of Information Technology Ampera Jurnal Pengabdian kepada Masyarakat Jurnal Kedaymas Jurnal Publika Pengabdian Masyarakat
Sulyono
Institut Informatika Dan Bisnis Darmajaya
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Notification Of Customer Service In Computer Shop Using Android-Based Cloud Message Firebase Amnah Amnah; Sulyono Sulyono; Ifan Reynaldi Utama
Prosiding International conference on Information Technology and Business (ICITB) 2019: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 5
Publisher : Proceeding International Conference on Information Technology and Business

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

Abstract

Notification is used to send a notification of current events to application users who are already using a particular system. So users do not get the floating message. Computer Store Application using Firebase cloud message is one form of application means that aims to help customers or application users in getting information about the goods being serviced. System development research using the Prototype method, this method is appropriate to be used to develop a software that was developed again. This method starts with gathering user needs. Use of Notification Services for Customers in Computer Stores is very appropriate to retain customers. The results showed that the Computer Shop Application using Firebase cloud message can help users get information on services in the Computer Shop quickly and accurately.Keywords: Mobile Application, Android, Firebase Cloud Massage, Prototype, Computer Service
Implementation of the C4.5 algorithm for micro, small, and medium enterprises classification Sri Lestari; Yulmaini Yulmaini; Aswin Aswin; Sylvia Sylvia; Yan Aditiya Pratama; Sulyono Sulyono
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 6: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i6.pp6707-6715

Abstract

The coronavirus disease-19 (COVID-19) pandemic has spread to various countries including Indonesia. Thus, implementing large-scale social restrictions (Bahasa: Pembatasan Sosial Berskala Besar (PSBB)) has resulted in the paralysis of the economy in Indonesia. including micro, small, and medium enterprises (MSMEs) have decreased turnover and even went out of business. The Department of Cooperatives and Small and Medium Enterprises (SMEs) in Pesawaran Regency, Lampung, oversees 3,808 MSMEs, whose development should be monitored as a basis for determining policies. However, there are problems in classifying MSMEs according to their categories because they have to check the existing data one by one, so it takes a long time. Therefore, this study proposed the C4.5 algorithm to solve this problem. In addition, this research compared with the naïve Bayes algorithm to find out which algorithm had a good performance and is suitable for this case. The results showed that 91% of MSMEs were included in the micro category, 8% was in a small category, and 1% was in the medium category. Based on the results, it explained that the C4.5 algorithm was bigger than naïve Bayes with a difference in the value of 3.79%. It had an accuracy value of 99.2%. Meanwhile, naive Bayes was 95.41%.
Mewujudkan Kemandirian UMKM Melalui Pelatihan dan Pendampingan Pencatatan Laporan Keuangan Dan Penetapan Harga Jual Produk Yulmaini Yulmaini; Sri Lestari; Mieke Rahayu; Aswin Aswin; Fitri Agustina; Sulyono Sulyono; Ruki Rizal Nul Fikri; Ade Moussadecq; Muhammad Redintan Justin
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Publisher : Jurnal KeDayMas: Kemitraan dan Pemberdayaan Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/kedaymas.v3i2.3623

Abstract

The Indonesian government has declared Covid-19 as a national disaster since April 13, 2020. Various efforts have been made by the government such as Work From Home (WFH), social distancing, and the Enforcement of Restrictions on Community Activities (PPKM) to reduce the spread of the corona virus. However, this policy has an impact on the decline in people's purchasing power. One of the sectors affected is MSMEs. This service aims to provide assistance in making financial statement bookkeeping and determining product selling prices for MSMEs in Pesawaran Regency. The three stages of activities carried out include preparation, implementation and monitoring. Preparation is carried out by conducting surveys in the field in coordination with partners. The implementation is carried out by training and mentoring using the lecture method followed by a question and answer discussion, and practicing making financial reports and calculating product selling prices. Monitoring is carried out periodically during service activities. This service results in the recording of simple financial statements, namely the cash book, accounts payable book, accounts receivable book, and inventory book, as well as calculating production costs and selling prices (hpp). Knowledge and soft skills regarding financial reports and determining product selling prices for MSME owners are needed, so that their business development can be monitored.
Penerapan Metode K-Means Clustering Untuk Penentuan Eligibilitas Bantuan Langsung Tunai Berbasis Mobile Adi Setyo Nugroho; Sulyono Sulyono
Journal of Information Technology Ampera Vol. 5 No. 1 (2024): Journal of Information Technology Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalita.v5i1.510

Abstract

Tujuan dari penelitian ini adalah untuk mengatasi masalah penyaluran Bantuan Langsung Tunai (BLT) yang tidak tepat sasaran kepada masyarakat miskin dan UMKM di Desa Rama Indra, Kecamatan Seputih Raman, Kabupaten Lampung Tengah. Metode yang digunakan adalah analisis cluster menggunakan algoritma k-means clustering, yang mempartisi data menjadi beberapa kelompok berdasarkan kriteria prioritas yang telah ditentukan. Hasil dari penggunaan metode ini menunjukkan peningkatan efektivitas dalam identifikasi keluarga yang berhak menerima bantuan, sehingga penyaluran BLT menjadi lebih tepat sasaran dan meningkatkan akurasi dalam pemilihan kelompok keluarga penerima bantuan.   The objective of this study is to address the issue of misdirected Direct Cash Assistance (BLT) distributions to impoverished communities and SMEs in Rama Indra Village, Seputih Raman Subdistrict, Central Lampung Regency. The method employed is cluster analysis using the k-means clustering algorithm, which partitions data into several groups based on predetermined priority criteria. The results of this method demonstrate enhanced effectiveness in identifying families eligible for assistance, thereby improving the precision of BLT distribution and increasing the accuracy in selecting recipient groups.
Co-Authors Ade Moussadecq Adi Setyo Nugroho amnah amnah Aswin Aswin Aswin Aswin Chairani Chairani Darius Antoni Fitri Agustina Fitria - Fitria - Fitria Fitria Harianto wibowo Ifan Reynaldi Utama Indera Indriyati, Lia Jon Heri Mieke Rahayu Muhammad Fauzan Azima Muhammad Redintan Justin Rian Sefriadi Rio Kurniawan Ruki Rizal Nul Fikri septilia arfida Sri Lestari Susilo Wahyu Sylvia Sylvia Yan Aditiya Pratama Yulmaini Yulmaini Yuni Arkhiansyah