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Digitalisasi Layanan Administrasi Surat Di Desa Wangunsari Berbasis Mobile Ahmad Rizal Imaduddin; Gunawansyah Gunawansyah; Muhamad Ath-Thariq; Gunawan Gunawan
Jurnal Tekno Insentif Vol 17 No 1 (2023): Jurnal Tekno Insentif
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah IV

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36787/jti.v17i1.976

Abstract

Abstrak Desa Wangunsari adalah sebuah desa yang terletak di Kecamatan Lembang perbatasan antara Kota Bandung dan Kabupaten Bandung Barat, pelayanan administrasi surat seperti surat keterangan, surat domisili, dan lain lain masih dilakukan secara manual sehingga proses pengajuannya memerlukan waktu yang lumayan lama. Pemanfaatan pengembangan teknologi informasi berbasis android dapat menjadi solusi untuk membuat proses pengajuan surat menjadi lebih efisien. Flutter merupakan sebuah SDK yang dapat membantu pengembangan aplikasi berbasis android dan iOS dengan satu kode tunggal, dengan memanfaatkan data API, layanan administrasi surat dapat dilakukan secara portable sehingga membuat proses pengajuan surat lebih singkat dan efisien. Hasil akhir implementasi, masyarakat Desa Wangunsari dapat melakukan pengajuan berbagai macam surat seperti surat domisili, surat keterangan dan surat keterangan kelahiran. Abstract Wangunsari Village is a village located in Lembang District on the border between Bandung City and West Bandung Regency, administrative services for letters such as certificates, domicile letters, and others are still done manually so the submission process takes quite a long time. The use of Android-based information technology development can be a solution to make the letter submission process more efficient. Flutter is an SDK that can help develop Android and iOS-based applications with one single code, by utilizing API data, mail administration services can be carried out portable so as to make the letter submission process shorter and more efficient. The end result of the implementation, the people of Wangunsari Village can submit various types of letters such as domicile letters, certificates and birth certificates.
PERANCANGAN SISTEM MONITORING KELAYAKAN KONSUMSI AIR MINUM BERBASIS INTERNET OF THINGS (IOT) Ramadhan, Zulqy Fazrie; Sugiarto, Bambang; Laluma, Riffa Haviani; Gunawansyah, Gunawansyah
Humantech : Jurnal Ilmiah Multidisiplin Indonesia Vol. 2 No. 5 (2023): Humantech : Jurnal Ilmiah Multidisiplin Indonesia
Publisher : Program Studi Akuntansi IKOPIN

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

Abstract

Minum merupakan salah satu dari sekian banyak kebutuhan pokok manusia dan termasuk dalam jenis kebutuhan primer, karena menyangkut kelangsungan hidupnya. Tanpa minum, manusia tidak akan bisa bertahan hidup. Oleh karena itu kualitas air minum harus menjadi pertimbangan utama untuk memenuhi konsumsi minum yang sehat. Masih banyak air minum yang belum memenuhi uji kelayakan sehingga sangat berbahaya bagi manusia. Tujuan penelitian ini adalah untuk monitoring kelayakan air minum dengan mikrokontroler Esp8266 berbasis Internet of Things. Penelitian ini dilakukan dengan melakukan perancangan dan pengujian pada sistem. Hasil penelitian ini menunjukkan bahwa perangkat Sistem Monitoring Kelayakan Air yang dibangun menggunakan nodeMCU dan web monitoring dapat membaca nilai sensor pH air dan nilai sensor kekeruhan Mikrokontroler akan mengirimkan data secara realtime berupa nilai pH air dan kekeruhan air, kemudian mengirimkan data tersebut ke database pada website. Sistem dapat memantau kondisi aktual nilai pH dan kekeruhan serta status kelayakan air melalui website.
Klasifikasi Gizi Balita Untuk Deteksi Dini Stunting Menggunakan Metode KNearest Neighbor Naufal Hafiz Farhan; Gunawansyah Gunawansyah
G-Tech: Jurnal Teknologi Terapan Vol 8 No 4 (2024): G-Tech, Vol. 8 No. 4 Oktober 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v8i4.5429

Abstract

The nutritional status of toddlers is an important indicator reflecting the welfare level of society. In Indonesia, the prevalence of toddlers with poor nutrition and stunting remains a significant issue that requires special attention. This study aims to develop a toddler nutritional status classification system using the K-Nearest Neighbor (KNN) method as a tool for early stunting detection. The KNN method was chosen due to its ability to classify data based on proximity. The data used in this study were obtained from the Cileunyi Health Center, with anthropometric parameters including Age, Weight, and Height. The system was implemented using the PHP programming language and MySQL database. The test results showed that the system achieved an accuracy of 66.67% for Weight-for-Age (W/A) classification and 100% for Height-for-Age (H/A) classification. Thus, this system is expected to be an effective tool for healthcare professionals in the early detection of stunting in toddlers, allowing for timely and appropriate interventions.
PREDIKSI PERTUMBUHAN UMKM DI KOTA BANDUNG MENGGUNAKAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE Sri Hanifah, Nurul; Gunawansyah
Infotronik : Jurnal Teknologi Informasi dan Elektronika Vol 9 No 2 (2024): Vol 9 No 2 Tahun 2024
Publisher : Universitas Sangga Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32897/infotronik.2024.9.2.3839

Abstract

This study aims to predict the number of micro, small, and medium enterprises (MSMEs) in Bandung City using the ARIMA (AutoRegressive Integrated Moving Average) method. MSMEs play a crucial role in the local economy, particularly in creating jobs and driving economic growth. Predicting the number of MSMEs is important for understanding future trends to support better planning and policy-making. The data used in this study includes the number of MSMEs in Bandung City from 1990 to 2023. The ARIMA method was chosen for its ability to handle time series data with seasonal patterns and trends and for providing accurate predictions based on historical data. The ARIMA (2,1,0) prediction model was selected as the best model, with model evaluation results showing an MAE value of 666.9431 and a MAPE value of 7.55%. The accuracy of this study using the ARIMA (2,1,0) model is 92.45%. Based on the research findings, the AutoRegressive Integrated Moving Average (ARIMA) method can be used to predict the number of Micro, Small, and Medium Enterprises (MSMEs) in Bandung City.
KLASIFIKASI JENIS BATIK MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBORS (KNN) Benita Suciani, Azarin; Gunawansyah, Gunawansyah; Maulana Adhinugraha, Kiki
Infotronik : Jurnal Teknologi Informasi dan Elektronika Vol 9 No 2 (2024): Vol 9 No 2 Tahun 2024
Publisher : Universitas Sangga Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32897/infotronik.2024.9.2.3846

Abstract

Batik is a world heritage that has been recognized by UNESCO, has high philosophical and artistic value and economic value. However, with so many types of batik in Indonesia, many people still have difficulty knowing and distinguishing between these types of batik, which can threaten its sustainability. Lack of public knowledge about the types of batik can lead to reduced appreciation and loss of cultural identity. Therefore, appropriate treatment is needed to overcome this problem. This research aims to build a classification system for types of batik using the K-Nearest Neighbors (KNN) algorithm to help the public recognize and differentiate types of batik, especially Batik Lasem, Batik Sekar Jagad, Batik Tambal, and Batik Truntum. It is hoped that this system can increase public awareness and knowledge about the richness of batik culture and help in preserving Indonesia's cultural heritage. The system testing results show differences in accuracy in each experiment with a dataset of 200 images, consisting of 50 images per type of batik. The highest accuracy was obtained from the third experiment, namely 85%, while the second experiment resulted in an accuracy of 72.5%, and the first experiment obtained an accuracy of 65%
PREDIKSI PENDAPATAN OPERATOR SELULER DARI SMS A2P MENGGUNAKAN METODE REGRESI LINIER DAN POLINOMIAL BERBASIS WEBSITE Riyadi, Riyadi; Gunawansyah, Gunawansyah
TECHNO-SOCIO EKONOMIKA Vol 17 No 2 (2024): Jurnal Techno-Socio Ekonomika - Oktober
Publisher : LPPM Universitas Sangga Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32897/techno.2024.17.2.3779

Abstract

This research evaluates and compares linear and polynomial regression methods in predicting the revenue of Cellular Operator from SMS Application to Person (A2P) services, which are packaged in a website-based platform. The background of this study highlights the importance of having an accurate revenue prediction system to support more effective and efficient marketing strategy planning. This study utilizes historical revenue data from the SMS A2P service of Cellular Operator, collected from May 2017 to May 2024 through literature review methods, documentation, and observations from the internal settlement application of Cellular Operator. Both regression methods are applied and analyzed to determine their accuracy in revenue prediction. The results of the study revealed that the polynomial regression method provides higher accuracy and has a smaller prediction error compared to the linear regression method. The accuracy of polynomial regression is 83.48%, while linear regression has an accuracy of 74.42%. The implementation of this prediction system is expected to serve as a tool for Cellular Operator in planning better business strategies and increasing revenue from SMS A2P services.
Sistem pendukung keputusan kelayakan penerima bantuan UMKM dengan metode simple multi attribute rating teachnique (SMART) Istu, Istu; Gunawansyah, Gunawansyah
Hexatech: Jurnal Ilmiah Teknik Vol. 1 No. 2 (2022): Hexatech: Jurnal Ilmiah Teknik
Publisher : ARKA INSTITUTE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55904/hexatech.v1i2.849

Abstract

Berbicara masalah kemiskinan memang tidak akan pernah ada habisnya dan masih menjadi pekerjaan rumah yang besar untuk dipecahkan dan diputus rantainya. Kemiskinan menjadi salah satu masalah utama yang terjadi hampir di setiap negara khususnya negara berkembang seperti Indonesia. Metode SMART (Simple Multi Attribute Rating Technique) SMART (Simple Multi Attribute Rating Technique) merupakan metode pengambilan keputusan multi kriteria yang dikembangkan oleh Edward pada tahun 1977. Sistem Pendukung Keputusan kelayakan penerima bantuan UMKM di Desa Sindang Sari Kecamatan Sukasari Kabupaten Sumedang menjadi lebih efisien karena proses penilaian terhadap nilai-nilai calon penerima bantuan menjadi lebih cepat. Pada pengembangan selanjutnnya diharapkan data warga telah terkomputerisasi sehingga pada saat pengelolaan data warga penerima bantuan menjadi lebih efektif dan efisien.
Pengaruh Smoothing Data Terhadap Hasil Prediksi Volume dan Ritasi Sampah di Kota Bandung Menggunakan Metode Regresi Linear Gunawansyah; Ihsan Fauzi
Jurnal Informatika Universitas Pamulang Vol 9 No 3 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v9i3.43271

Abstract

The waste problem is very important in big cities, especially Bandung. The population, people's lifestyles and waste management that has not been carried out professionally are a challenge in itself. One of the preparatory steps to deal with the waste problem is to predict the development of waste volume. In this study, a statistical time series approach, namely the linear regression method, is used to predict the volume and transportation of waste in the city of Bandung. In the prediction process, data processing before being used in the prediction process plays an important role, one of which is data smoothing. A process to smooth the data using the moving average method with intervals of 2.3 and 4 and moving averages with weights of 242 and 12421 will be used to see its effect on the prediction results. Scenario 1 of the data used is all monthly data in the dataset time range and scenario 2 uses the same month's data for each year to predict the results of the month in the following year. The results of the volume and transportation predictions of waste between the best results from the Smoothing method and the results without going through the data smoothing process in scenario 1 show less significant results, namely less than 1%, while in scenario 2 it shows quite significant results, namely around 10% when compared to the actual data. Patterns and data ranges affect the final result from scenarios above.
SISTEM PAKAR DIAGNOSIS PENYAKIT AKIBAT VIRUS EKSANTEMA MENGGUNAKAN METODE DEMPSTER SHAFER DAN CERTAINTY FACTOR Iyam Maria Kristin Mali; Gunawansyah Gunawansyah
Journal of Computer Science and Information Technology Vol. 2 No. 4 (2025): September
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jcsit.v2i4.3161

Abstract

Kemajuan teknologi informasi saat ini telah memberikan dampak yang signifikan di bidang medis, terutama dalam proses diagnosis penyakit. Sistem pakar merupakan salah satu aplikasi teknologi yang meniru kemampuan pakar manusia untuk memberikan solusi terhadap suatu masalah. Penelitian ini membahas perancangan dan implementasi sistem pakar diagnosis penyakit akibat virus eksantema menggunakan dua metode yaitu Dempster-Shafer dan Certainty Factor. Penelitian ini bertujuan untuk membandingkan tingkat akurasi kedua metode dalam memberikan hasil diagnosis berdasarkan gejala-gejala yang dimasukkan oleh pengguna. Sistem dikembangkan berbasis web dengan bahasa pemrograman PHP dan database MySQL. Hasil penelitian menunjukkan bahwa metode Certainty Factor menghasilkan tingkat kepercayaan diagnosis lebih tinggi dibandingkan metode Dempster-Shafer, dengan nilai 68,32%. Temuan ini menunjukkan bahwa sistem pakar berbasis Certainty Factor lebih efektif digunakan dalam kasus diagnosis penyakit akibat virus eksantema.
Co-Authors Abduloh Ahmad Rizal Imaduddin Alka Prasetya Andra Aditiya Asep Syaipul Iman Bambang Sugiarto Bambang Sugiarto Benita Suciani, Azarin Djoko Pitoyo Gunawan Gunawan Gunawan Gunawan Hanif Ikhsan Alhafidh Ihsan Fauzi Ilham Taufikurrahman Istu Istu Istu, Istu Iyam Maria Kristin Mali Kusmadi, Kusmadi Maulana Adhinugraha, Kiki Mochamad Andy Ardyansyah Mochamad Andy Ardyansyah Muhamad Ath-Thariq Naufal Hafiz Farhan Nurwijayanti Ramadhan, Zulqy Fazrie Riffa Haviani Laluma Riffa Haviani Laluma Slamet Risnanto Sri Hanifah, Nurul Suharsono, Teguh Nurhadi Viery Viransyah