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All Journal E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Indonesian Journal of Midwifery (IJM) "JAMASTIKA" Jurnal Mahasiswa Teknik Informatika AMMA : Jurnal Pengabdian Masyarakat Jurnal Informatika dan Kesehatan INOVTEK Polbeng - Seri Informatika
Kustiyono
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Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Health Professions Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health

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Pengembangan Sistem Informasi Badan Usaha Milik Desa(Bumdes) Maju Rahayu Desa Jatinrunggo Menggunakan Odoo Berbasis Web Mobile Hevi Alvina; Sadam Rinto; Silvi Meilani; Hendri Saputra; Kustiyono
Jurnal Mahasiswa Teknik Informatika Vol. 3 No. 1 (2024): Jurnal Jamastika Vol.3 No.1 April 2024
Publisher : Universitas Ngudi Waluyo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35473/jamastika.v3i1.2689

Abstract

Abstrak Village-Owned Enterprises (BUMDes) in Jatirunggo Village, Pringapus District, Semarang Regency are still manual. Some people do not know that there are Bumdes activities in Jatirunggo Village so planning needs to be done. An application that uses Internet services can be used by the public to obtain information and save time, so there is a need for a website application in Jatirunggo Village. The author designs and designs a mobile web-based Village Owned Enterprise information system using a website builder in the form of Odoo because it is considered very effective in designing information systems. Apart from that, the author also uses a computer along with supporting village information data obtained from BUMDes administrators. With the village's mobile web-based company information system, it is hoped that this will make it easier to obtain information and improve internal business marketing services in Jatirunggo Village which are managed by BUMDes. Keywords: Information system; BUMDes; WebMobile Abstrak Badan Usaha Milik Desa (BUMDes) di Desa Jatirunggo Kecamatan Pringapus Kabupaten Semarang masih bersifat manual. Sebagian masyarakat belum mengetahui bahwa terdapat kegiatan Bumdes di Desa Jatirunggo sehingga perlu dilakukan perencanaan. Sebuah aplikasi yang menggunakan layanan Internet dapat digunakan masyarakat untuk memperoleh informasi dan dapat menghemat waktu, sehingga diperlukan adanya aplikasi website di Desa Jatirunggo. Penulis merancang dan merancang sistem informasi Badan Usaha Milik Desa berbasis mobile web dengan menggunakan website bulder berupa Odoo karena dianggap sangat efektif dalam perancangan sistem informasi, Selain itu penulis juga menggunakan computer berserta data-data pendukung informasi desa yang didapatkan dari pengurus BUMDes. Dengan adanya sistem informasi perusahaan berbasis mobile web milik desa Diharapkan hal ini dapat mempermudah mendapatkan informasi dan meningkatkan pelayanan internal Pemasaran usaha yang ada di Desa Jatirunggo yang dikelola oleh BUMDes. Kata Kunci: Sistem informasi; BUMDes; Web Mobile
Penerapan Aplikasi Sistem Informasi Social Network Sebagai Media Komunikasi Dan Promosi Pada SMP Muhammadiyah Salatiga Kustiyono
E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Vol 11 No 1 (2018): Jurnal Ilmiah Ekonomi dan Bisnis
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/e-bisnis.v11i1.1665

Abstract

SMP Muhammadiyah Salatiga designing a Website which is also integrated with social networking is equipped with several facilities, such as school bulletin board, news, articles, schedule of events, photo gallery, downloadable content and web forums to provide convenience to members for sharing online. This study was developed using the method of system development Research and Developmnet [1] which consists of: Research and Information Collection, Planning, Develop Preliminary Form of Product, Preliminary Field Testing, Product Revision Main, Main Field Testing, Operational Product Revision, Operational, Field Testing, Final Product Revision, Dissemination and Implementation using the programming language PHP with MySQL database. The results showed that the system serves as a medium of information kominukasi with students, teachers, employees, alumni and the community as well as a media campaign.
Pemahaman Akseptor Tentang Baby Booming dan Tingkat Pengetahuan Tentang Program KB pada Masa Pandemi Covid-19: Acceptors' Understanding of Baby Booming and Level of Knowledge of Family Planning Programs During the Covid-19 Pandemic Widyawati, Sigit Ambar; Kustiyono; Sofiyanti, Ida; Najib
Indonesian Journal of Midwifery (IJM) Vol. 7 No. 2 (2024): September 2024
Publisher : Universitas Ngudi waluyo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35473/ijm.v7i2.3481

Abstract

Baby boom or soaring pregnancy rates including unwanted pregnancies (KTD). This is related to the Corona Virus Disease-19 (Covid-19) pandemic which has caused a decrease in the number of family planning (KB) services nationally. Family Planning according to the World Health Organization (WHO) is an action that helps individuals or married couples to avoid unwanted births, get the desired birth, regulate birth intervals, control the time of birth in relation to the age of the husband and wife, determine the number of children in the family. Long-term family planning services are an effective method of preventing pregnancy, but direct contact is required which is disrupted due to physical distancing efforts. To determine the acceptor's understanding of the baby boom and the level of knowledge about the KB program during the Covid-19 Pandemic. This research method uses a survey technique with a questionnaire given to selected acceptors in Semarang Regency. The number of respondents was 50 people. Results: It was found that 35 respondents (70%) had good knowledge about the definition of baby booming, efforts to prevent baby booming (74%), good knowledge of NKKBS (78%), and a good level of knowledge about the KB program (76%).    Abstrak Baby booming atau angka kehamilan yang melonjak termasuk terjadinya kehamilan tidak diinginkan (KTD). Hal ini berkaitan dengan adanya pandemi Corona Virus Disease-19 (Covid-19) yang menyebabkan penurunan jumlah pelayanan keluarga berencana (KB) secara nasional. Keluarga Berencana menurut World Health Organisation (WHO) adalah tindakan yang membantu individu atau pasangan suami istri untuk menghindari kelahiran yang tidak diinginkan, mendapatkan kelahiran yang diinginkan, mengatur interval kelahiran, mengontrol waktu saat kelahiran dalam hubungan dengan umur suami dan istri, menentukan jumlah anak dalam keluarga. Pelayanan KB jangka panjang merupakan metode efektif pencegahan kehamilan, namun diperlukan adanya kontak langsung yang terganggu karena adanya upaya physical distancing.  Mengetahui pemahaman akseptor tentang baby booming dan tingkat pengetahuan tentang program KB Pada Masa Pandemi Covid-19. Metode penelitian ini menggunakan teknik survei dengan kuesioner yang diberikan kepada akseptor terpilih di Kabupaten Semarang. Jumlah responden sebanyak 50 orang. Didapatkan sebanyak 35 responden (70%) memiliki pengetahuan baik tentang pengertian baby booming, upaya pencegahan baby booming (74%), pengetahuan yang baik NKKBS (78%), dan tingkat pengetahuan yang baik tentang program KB (76%). 
Perencanaan Enterpreneurship Bagi Calon Pekerja Migran Indonesia Pasca Kepulangan Di LPK Wisma Berkah Sejahtera Handayani, Umi; Priventa, Hendrike; Wahyu Riani , Rosalina; Kustiyono; Aulia, Izza; Wira Wati , Adilla
AMMA : Jurnal Pengabdian Masyarakat Vol. 4 No. 6 : Juli (2025): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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

Abstract

The number of Indonesian migrant workers departing from Japan has increased since the COVID-19 pandemic ended. This increase not only benefits the Indonesian people but also presents challenges when Indonesian migrant workers in Japan are repatriated. The main problem is the lack of entrepreneurial competency acquired by repatriated Indonesian migrant workers, which has an impact on unemployment. Therefore, in response to this phenomenon, the Community Service Team held outreach and entrepreneurship training activities for prospective Indonesian migrant workers in Japan to help them develop entrepreneurial planning competencies. The focus of these activities was on obstacles and barriers, financial literacy, and business planning. The results of these activities showed that 80% of participants had ideas for entrepreneurship after returning to Indonesia.
Analisis Kesamaan Gambar Menggunakan Metode Ekstraksi Fitur Agung Wibowo; Ade Pratama; Kustiyono
Jurnal Informatika dan Kesehatan Vol. 1 No. 1 (2024): IKN : Jurnal Informatika dan Kesehatan
Publisher : Universitas Ngudi Waluyo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35473/ikn.v1i1.3040

Abstract

This research begins with a discussion of imaging systems. Many user interactive systems are built with basic concepts. However, they fail to meet user needs or attract user attention. As a result, in the last few years, research has concentrated on new and up-to-date specifications that keep users attracted to the expected way to interact well. The system focuses on using a variety of mathematical methods to take images from a large collection of images based on color projection. Images are grouped into subgroups with threshold values before using the suggested technique. The combination of colors R, G, B is considered for taking images in this research through the observed results so that we can produce more effective results compared to previously existing ones.   Abstrak Penelitian ini memulai dengan membahas sistem pengambilan gambar. Banyak sistem interaktif pengguna dibangun dengan konsep dasar. Namun, mereka gagal memenuhi kebutuhan pengguna atau menarik perhatian pengguna. Akibatnya, dalam beberapa tahun terakhir, penelitian telah berkonsentrasi pada spesifikasi baru dan terkini yang membuat pengguna tertarik dengan cara yang diharapkan untuk berinteraksi dengan baik. Sistem ini berfokus pada penggunaan berbagai metode matematika untuk mengambil gambar dari koleksi gambar besar yang didasarkan pada proyeksi warna. Gambar dikelompokkan menjadi subkelompokan dengan nilai ambang batas sebelum menggunakan teknik yang disarankan. kombinasi warna R, G, B dipertimbangkan untuk pengambilan gambar dalam riset ini melalui hasil yang diamati agar kita dapat menghasilkan hasil yang lebih efektif dibandingkan dengan hasil yang sudah ada sebelumnya.
Identification of Digital Signature Patterns Based on The CNN Method at Almas’udiyyah Islamic Boarding School Muhammad Ulumul Ikhsanil Huda; Kustiyono
INOVTEK Polbeng - Seri Informatika Vol. 9 No. 2 (2024): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/74bq6m83

Abstract

This study aims to identify digital signature patterns using the Convolutional Neural Network (CNN) method at Al Mas’udiyyah Islamic Boarding School. Digital signatures are an essential form of authentication in electronic transactions. Using MATLAB, we developed a CNN model to classify signatures and evaluate its accuracy. The dataset comprises images of students' signatures. The research stages included collecting 60 signature images for training data and 30 signature images for testing data, which were then acquired using a scanner. The results show that the Convolutional Neural Network method can recognize each signature image with high accuracy during the testing process. Al Mas’udiyyah Islamic Boarding School frequently requires verification processes for administrative purposes, such as signing attendance sheets and documents. With a CNN-based digital signature verification system, the boarding school can ensure the security and authenticity of signatures automatically, reducing the risk of forged signatures and increasing efficiency. The CNN model developed in this study achieved an accuracy of 86% in identifying genuine and forged signatures.
a Sentiment Analysis of Free Meal Plans on Social Media using Naïve Bayes Algorithms Yoga Zaen Vebrian; Kustiyono
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 1 (2025): March
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/3m2fcz69

Abstract

This study analyses public sentiment towards the "Free Meal Plan" initiative introduced by the political pair Prabowo-Gibran. This policy aims to assist underprivileged communities in Indonesia and is a significant issue in the social and political context. Data was collected from the social media platform X (formerly Twitter), gathering 501 relevant comments based on their connection to the topic and high levels of engagement (such as retweets and likes). The comments were then processed using Text Preprocessing and TF-IDF techniques and applied to a Naïve Bayes model. The model achieved an accuracy of 69.3%, a precision of 72%, a recall of 57.05%, and an F1 score of 54.5%. These results indicate that the model is capable of classifying public sentiment, though it has challenges in accurately detecting negative sentiment. These findings provide valuable insights for policymakers to design more effective communication and policy strategies, particularly in addressing criticism or public dissatisfaction. The study highlights the importance of using text processing and machine learning techniques to analyze social media data in a structured way.
Customer Data Management For Citynet Using Geolocation-Based Internet Broadband Registration Form Application Alfiano Aldo Pamungkas; Kustiyono
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 1 (2025): March
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/60hw1d67

Abstract

This study aims to address the inefficiencies in CityNet's customer data management by developing a geolocation-based registration form application. Currently, CityNet relies on Google Forms for data collection and WhatsApp for location sharing, leading to inaccuracies, inefficiencies, and delays in the installation process. The proposed system integrates geolocation to automatically capture customer locations, reducing input errors and streamlining data processing. This research follows the waterfall development model, encompassing needs analysis, system design, implementation, and usability testing involving CityNet administrators and customers. The results indicate an 80% reduction in input errors and a 30% improvement in operational efficiency. Additionally, the system seamlessly integrates with Google Spreadsheet, Telegram, and email, ensuring real-time data synchronisation and faster response times. While the application significantly enhances CityNet's operational workflow, challenges such as user adoption and dependency on internet connectivity remain. This study provides a scalable solution for broadband providers seeking efficient customer data management with location-based automation.
Co-Authors Ade Pratama Agung Wibowo Alfiano Aldo Pamungkas Aulia, Izza Ghufronul A, M Mufti gulo, titusman Hendri Saputra Hendrike Priventa Hevi Alvina Muhammad Fathoni, Muhammad Muhammad Ulumul Ikhsanil Huda Najib Sadam Rinto Sigit Ambar Widyawati Silvi Meilani Sofiyanti, Ida Umi Handayani Wahyu Riani , Rosalina Wira Wati , Adilla Yoga Zaen Vebrian