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All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Ilmu Komputer dan Teknologi (IKOMTI) Abdi Makarti SEMINAR NASIONAL PENELITIAN DAN PENGABDIAN KEPADA MASYARAKAT Jurnal Sistem Informasi, Manajemen dan Teknologi Informasi Jurnal Multidisiplin Pengabdian Masyarakat (JMPM)
Triwibowo, Deny Nugroho
Unknown Affiliation
Humanities Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Nursing Social Sciences Other

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PENYUSUNAN DATA JAJANAN KHAS PRODUKSI INDUSTRI MIKRO DI DESA GUNTURMADU DENGAN TENIK WAWANCARA TERSTRUKTUR Slamet, Slamet; Triwibowo, Deny Nugroho
ABDI MAKARTI Vol 3, No 1 (2024): ABDI MAKARTI
Publisher : Sekolah Tinggi Ilmu Ekonomi AMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52353/abdimakarti.v3i1.584

Abstract

Gunturmadu Village is a village in Mojotengah District, Wonosobo Regency, Central Java. The potential of agricultural commodities in Gunturmadu Village has not been utilized optimally because most of the agricultural products are sold directly without being processed first. There are only a few home industries on a micro scale that process agricultural products into typical snacks whose management from production to marketing is still carried out traditionally. This community service program will focus on typical dry snacks which have the potential to be developed, especially for packaging and online marketing. The author carried out a community service program by compiling data on typical snacks produced by the micro industry in Gunturmadu Village using structured interview techniques. The interview data was then processed and edited into a catalog book of typical snacks from Gunturmadu Village, resulting in 20 typical dry snacks. It is hoped that the catalog book for typical dry snacks produced by micro industries in Gunturmadu Village in 2023 will become literature and can ignite the enthusiasm of micro industry players and the younger generation to develop micro industries in Gunturmadu Village.
Klasifikasi Status Gizi Balita Menggunakan Algoritma Support Vector Machine dengan Optimasi Grid Search Cross-Validation Nadroh, Azkiyatun; Triwibowo, Deny Nugroho; Sumantri, R. Bagus Bambang
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp250-257

Abstract

Toddlers are children aged 0 to 59 months who experience rapid growth and development and require a higher intake of nutrients. This study aims to classify the nutritional status of toddlers using the Support Vector Machine (SVM) algorithm with Grid Search optimization. The quality of a toddler's nutrition significantly affects their growth and development, and malnutrition is a major issue in Indonesia. Data were obtained from Posyandu Desa Jagalempeni, comprising a total of 512 toddler data entries. After undergoing pre-processing and feature engineering, the data were classified using SVM. The initial results showed an accuracy of 80%. Following the application of Grid Search optimization with the Radial Basis Function (RBF) kernel, accuracy increased to 86.17%. These results indicate that Grid Search is effective in optimizing SVM model parameters and improving classification performance.
Klasifikasi Jenis Sampah Berbasis Convolutional Neural Network dengan Optimasi Hyperparameter Tuning Arsitektur Mobilenet Kuncoro, Dimas Febri; Wirasto, Anggit; Triwibowo, Deny Nugroho
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 1 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No1.pp130-144

Abstract

Waste management in Indonesia faces significant challenges with an increasing volume reaching approximately 175,000 tons per day. Public awareness of the dangers associated with improper waste disposal remains low, as many continue to litter indiscriminately. Waste sorting is the most effective method, involving separation based on waste types. Manual waste sorting is nonetheless inefficient, as it requires large spaces, substantial labor, and is prone to errors. This study aims to develop a waste classification model based on Convolutional Neural Network (CNN) with hyperparameter tuning optimization for the MobileNet architecture. The research adopts the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology and utilizes datasets from three waste categories organic, inorganic, and hazardous and toxic materials (B3) sourced from open Kaggle datasets. Model training was conducted using the MobileNet architecture with hyperparameter tuning optimization and resulting in optimal parameters Adam optimizer, learning rate of 0.01, batch size of 32, and 256 neurons. The results show that the model achieved 96% accuracy before optimization which increased by 2% to 98% after optimization. The model demonstrated high computational efficiency with the number of floating-point operations per second reaching 1.146 GFLOPS.
Analisis Pengalaman Pengguna terhadap Platform Konferensi Video untuk Mendukung Perkuliahan: Studi Evaluasi Menggunakan UEQ+ Setia Sandi Ariyanto, Arif; Triwibowo, Deny Nugroho; Trivilia, Indah
Jurnal Sistem Informasi, Manajemen dan Teknologi Informasi Vol. 3 No. 2 (2025): Juli
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/jsimtek.v3i2.943

Abstract

Penelitian ini bertujuan untuk menganalisis pengalaman pengguna (User Experience/UX) terhadap platform konferensi video (Google Meet, Zoom Meeting, dan Microsoft Teams) dalam mendukung aktivitas perkuliahan. Studi evaluasi ini menggunakan metode User Experience Questionnaire Plus (UEQ+) yang mencakup enam dimensi utama, yaitu: Attractiveness, Efficiency, Intuitive Use, Visual Aesthetic, Quality of Content, dan Trust. Data dikumpulkan dari 80 partisipan yang merupakan mahasiswa pengguna berbagai platform konferensi video yang umum digunakan dalam konteks perkuliahan. Hasil penelitian menunjukkan respons positif terhadap ketiga aplikasi tersebut, yang ditunjukkan oleh nilai rata-rata keseluruhan pada setiap skala yang melebihi 0,8. Selain itu, variasi data pada seluruh skala juga tercatat berada pada tingkat yang sangat baik dan dapat diterima. Hasil pengukuran menunjukkan reliabilitas yang tinggi di semua skala. Aplikasi Zoom Meeting dinilai lebih unggul dibandingkan Google Meet dan Microsoft Teams dalam seluruh kriteria, kecuali pada dimensi Trust yang didominasi oleh Google Meet.
Klasifikasi Status Gizi Balita Menggunakan Algoritma Support Vector Machine dengan Optimasi Grid Search Cross-Validation Nadroh, Azkiyatun; Triwibowo, Deny Nugroho; Sumantri, R. Bagus Bambang
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp250-257

Abstract

Toddlers are children aged 0 to 59 months who experience rapid growth and development and require a higher intake of nutrients. This study aims to classify the nutritional status of toddlers using the Support Vector Machine (SVM) algorithm with Grid Search optimization. The quality of a toddler's nutrition significantly affects their growth and development, and malnutrition is a major issue in Indonesia. Data were obtained from Posyandu Desa Jagalempeni, comprising a total of 512 toddler data entries. After undergoing pre-processing and feature engineering, the data were classified using SVM. The initial results showed an accuracy of 80%. Following the application of Grid Search optimization with the Radial Basis Function (RBF) kernel, accuracy increased to 86.17%. These results indicate that Grid Search is effective in optimizing SVM model parameters and improving classification performance.
Klasifikasi Jenis Sampah Berbasis Convolutional Neural Network dengan Optimasi Hyperparameter Tuning Arsitektur Mobilenet Kuncoro, Dimas Febri; Wirasto, Anggit; Triwibowo, Deny Nugroho
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 1 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No1.pp130-144

Abstract

Waste management in Indonesia faces significant challenges with an increasing volume reaching approximately 175,000 tons per day. Public awareness of the dangers associated with improper waste disposal remains low, as many continue to litter indiscriminately. Waste sorting is the most effective method, involving separation based on waste types. Manual waste sorting is nonetheless inefficient, as it requires large spaces, substantial labor, and is prone to errors. This study aims to develop a waste classification model based on Convolutional Neural Network (CNN) with hyperparameter tuning optimization for the MobileNet architecture. The research adopts the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology and utilizes datasets from three waste categories organic, inorganic, and hazardous and toxic materials (B3) sourced from open Kaggle datasets. Model training was conducted using the MobileNet architecture with hyperparameter tuning optimization and resulting in optimal parameters Adam optimizer, learning rate of 0.01, batch size of 32, and 256 neurons. The results show that the model achieved 96% accuracy before optimization which increased by 2% to 98% after optimization. The model demonstrated high computational efficiency with the number of floating-point operations per second reaching 1.146 GFLOPS.
Perancangan Aplikasi Pengolah Data Buku C pada Desa Bener Menggunakan Appsheet di Kecamatan Majenang Kabupaten Cilacap Triwibowo, Deny Nugroho; Suryani, Riska; Somaida, Mochammad Hasymi
Jurnal IT UHB Vol 3 No 1 (2022): Jurnal Ilmu Komputer dan Teknologi
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/ikomti.v3i1.795

Abstract

Buku C merupakan buku pendaftaran pertanahan atas hak kepemilikan tanah yang dilakukan secara turun temurun. Saat ini, pencatatan buku C masih dilakukan secara konvensional oleh perangkat desa khususnya pada desa Bener, sehingga kerusakan atau kehilangan dapat saja terjadi dan dapat merugikan pihak yang memiliki hak kepemilikan tanah tersebut. Perancangan sebuah aplikasi Buku C yang dibutuhkan oleh perangkat desa Bener dapat membantu mengatasi masalah terhadap pengolahan Buku C di kantor Balai Desa Bener. Metode yang digunakan untuk pembuatan aplikasi Buku C adalah metode eksperiment dan kualitatif. Pengembangan aplikasi dirancang menggunakan AppSheet dengan fungsi dasar untuk bisa menyimpan, mengedit, membuat, dan menghapus data. Hasil penelitian ini berhasil mengembangkan prototipe Aplikasi pengolahan data Buku C untuk membantu para pegawai di intansi pemerintahan desa Bener
Sosialisasi Dan Pelatihan Pemasaran Online Berbasis Digital Untuk Meningkatkan Omset Penjualan UMKM Desa Pageraji Sumantri, R Bagus Bambang; Triwibowo, Deny Nugroho; Ariyanto, Arif Setia Sandi; Jayusman, Hadi
Jurnal Arba - Multidisiplin Pengabdian Masyarakat Vol. 1 No. 1 (2024): Agustus
Publisher : Jurnal Arba - Multidisiplin Pengabdian Masyarakat

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

Abstract

Digital transformation brings significant changes in marketing strategies, especially for Micro, Small, and Medium Enterprises (MSMEs) in Pageraji Village. Increased internet accessibility has opened up new opportunities for Micro, Small, and Medium Enterprises (MSMEs) in Pageraji Village to expand their reach and increase their sales turnover. This journal documents the socialization and training of digital-based online marketing to help MSMEs in Pageraji Village utilize digital potential. The socialization begins with an in-depth understanding of the benefits of online marketing and its positive impacts on the development of MSMEs. The training focuses on key aspects, optimizing social media and marketplaces, and data analysis for smarter decision making. The results of the socialization and training show an increase in participants' understanding and skills in implementing online marketing strategies. Participants were able to increase their digital presence, reach new market share, and significantly increase their sales turnover. This journal reflects the importance of an inclusive approach in supporting MSMEs at the village level to adapt to digital change. This study contributes to a practical and contextual understanding of how online marketing can be a catalyst for local economic growth in the digital era.
Optimalisasi Pelatihan Desain Grafis Berbasis Canva untuk Meningkatkan Keterampilan Siswa Multimedia Triwibowo, Deny Nugroho; Slamet; Grace Maria Fitricia Panggabean; Arif Setia Sandi A
Jurnal Arba - Multidisiplin Pengabdian Masyarakat Vol. 2 No. 1 (2025): Februari
Publisher : Jurnal Arba - Multidisiplin Pengabdian Masyarakat

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

Abstract

Perkembangan teknologi digital telah meningkatkan kebutuhan industri akan keterampilan desain grafis yang mumpuni. Namun, banyak siswa jurusan multimedia di tingkat sekolah menengah kejuruan (SMK) yang belum memiliki keterampilan yang cukup dalam bidang ini. Pelatihan desain grafis berbasis Canva bertujuan untuk meningkatkan pemahaman dan keterampilan siswa dalam menggunakan perangkat lunak desain yang sesuai dengan kebutuhan industri. Program pelatihan ini dilaksanakan di SMK Islam Bina Nusantara Gumelar dengan pendekatan interaktif dan berbasis praktik. Hasil evaluasi menunjukkan peningkatan keterampilan siswa dalam memahami konsep desain grafis, penggunaan fitur Canva, dan pembuatan materi desain yang kreatif. Artikel ini membahas metode pelaksanaan pelatihan, hasil yang diperoleh, serta dampak program terhadap kesiapan siswa dalam menghadapi dunia kerja.
Desain Desain Perancangan Alat Deteksi Kondisi Ruangan Untuk Penderita Sleep Apnea Berbasis Esp32 Feriyanto, Yanuar; Ariyanto, Arif Setia Sandi; Triwibowo, Deny Nugroho
Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat 2025 Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 2025)
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/snppkm.v4i1.1404

Abstract

Sleep apnea is a serious sleep disorder characterized by repeated interruptions of breathing during sleep. This condition can significantly reduce sleep quality and have an impact on the health of individuals experiencing sleep apnea. In this condition, it can affect sleep disturbances that may lead to oxygen deficiency, high blood pressure, heart disease, and even other complications. Sleep disorders are also often not recognized by sufferers, resulting in delayed diagnosis and treatment. Environmental factors during sleep, including temperature, humidity, air quality, lighting, and noise, greatly influence the room conditions of people with sleep apnea. Therefore, a device is needed that can directly detect room conditions to keep the sleeping environment ideal. This research develops a device design to detect room conditions using an ESP32 microcontroller; this system is equipped with a DHT22 sensor to measure temperature and humidity, an MQ-135 sensor to monitor air quality, a BH1750 sensor to measure light intensity, and a KY037 sensor to detect sound. All data obtained from these sensors are then transmitted via Wi-Fi connection to the Blynk application, allowing users to monitor this information directly through their smartphones. This device design not only provides information on room conditions but can also be an effective solution to help sleep apnea sufferers maintain their sleep quality. Thus, this tool can present relevant environmental data and make it easier for users to monitor room conditions.
Co-Authors Arif Setia Sandi A. Bambang Sumantri, R Bagus Feriyanto, Yanuar Grace Maria Fitricia Panggabean Jayusman, Hadi Kuncoro, Dimas Febri Nadroh, Azkiyatun Slamet Slamet Slamet Somaida, Mochammad Hasymi Suryani, Riska Trivilia, Indah Wirasto, Anggit