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All Journal Nominal: Barometer Riset Akuntansi dan Manajemen MODELING: Jurnal Program Studi PGMI Jurnal Rekayasa Hijau
Sopian, Sopan
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Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Economics, Econometrics & Finance Education Other

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RANCANG BANGUN MESIN PENCACAH SAMPAH ORGANIK RUMAH TANGGA Nugraha, Noviyanti; Pratama, Dany Septyangga; Sopian, Sopan; Roberto, Nicolaus
Rekayasa Hijau : Jurnal Teknologi Ramah Lingkungan Vol 3, No 3 (2019)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Institut Teknologi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (663.214 KB) | DOI: 10.26760/jrh.v3i3.3428

Abstract

ABSTRAK Proses pemotongan sampah menjadi ukuran yang lebih kecil, dapat mempercepat proses pengomposan, sehingga diperlukan mesin yang mampu mencacah sampah organik sisa rumah tangga. Penelitian ini bertujuan untuk merancang, membuat serta menguji mesin pencacah organik yang mampu mencacah sisa sampah organik rumah tangga yang memiliki karakteristik basah dan alot, dengan minim polusi baik polusi pencemaran udara maupun polusi suara. Perancangan dan pembuatan meliputi komponen: poros, pisau tetap, pisau putar, rangka, casing, hopper, motor listrik serta sistem transmisi. Pengujian meliputi persentase sampah tercacah, kapasitas output hasil cacahan, dan pengujian tingkat polusi suara. Hasil perancangan dan pembuatan mesin pencacah sampah ini memiliki dimensi 490x455x950mm dengan pisau pencacah yang terdiri dari 12 pisau putar dan 3 pisau tetap, berukuran panjang 100mm tebal 3mm. Transmisi daya menggunakan V-belt type A no 55 dan 2 buah pulley yaitu pulley berukuran 2 inch dan pulley berukuran 8 inch dengan masing-masing untuk satu alur. Daya motor listrik 1 Hp. Bahan poros ST-37 dengan panjang dan diameter 600mm dan 22mm,. Dimensi hopper output 170x170mm dengan kemiringan 20o. Dimensi saringan 230x380x 2,5 mm dengan lubang ?3mm dan lubang pembuangan air ? 25,4??. Mampu mencacah sampah organik sisa rumah tangga hingga 90% tercacah dan kapasitas output sampah sebesar 70%-80%, Tingkat kebisingan maksimum 90 db, masih didalam batas yang distandarkan yaitu 94 db. Kata Kunci: Sampah Organik, Mesin Pencacah Sampah, Kapasitas Cacahan
Perencanaan Kurikulum PAI dalam Neningkatkan Mutu Guru di SMP IT Al-Afkary Rahmawati, Nelly; Sopian, Sopan; Berutu, Riswan
MODELING: Jurnal Program Studi PGMI Vol 10 No 3 (2023): September
Publisher : Program Studi PGMI Sekolah Tinggi Ilmu Tarbiyah Nahdlatul Ulama Al Hikmah Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69896/modeling.v10i3.1941

Abstract

This research focuses on curriculum planning in improving the quality of PAI teachers at SMP IT Al-Afkary. The purpose of this study was to analyze the PAI curriculum planning process at SMP IT Al-Afkary. the type used is descriptive qualitative research, namely data collected in the form of interviews, documents and so on. The results of this study indicate that the PAI curriculum management at Al-Afkary IT Middle School implements it in accordance with the vision and mission that has been previously determined because the development of noble character in students and learning Islam is a goal that is closely related to each other. The teacher manages PAI classes at the curriculum level by making lesson plans, carrying out lessons, and evaluating the learning.
Predicting Agricultural Product E-Commerce Usage Behavior In Indonesia With Machine Learning Algorithms Irwandi, Putra; Oktavianto, Rizki; Adetyaa, Aulia; Sopian, Sopan
Nominal: Barometer Riset Akuntansi dan Manajemen Vol. 14 No. 1 (2025): Nominal April 2025
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/nominal.v14i1.71565

Abstract

This study aims to identify factors that predict the usage behavior of agricultural product e-commerce platform in Indonesia with a comprehensive approach using machine learning algorithms. The research model uses the theory of technology acceptance and use (UTAUT), which consists of variables of social influence, supporting conditions, usage behavior, performance expectancy, effort expectancy, behavioral intention, and supporting conditions. The data in this study were collected throuh an online survey. Model analysis uses a partial least square-structural equation model (PLS-SEM) approach. Furthermore, machine learning algorithms were used to analyze the relationship between elements in the research model. The results showed that behavioral intentions were predicted by performance expectations, effort expectations, social influence, and supporting factors. Agricultural product e-commerce usage behavior is influenced by these behavioral intentions. This study also emphasizes the importance of further research on the application of machine learning algorithms in predicting agricultural e-commerce consumption behavior. Keywords: UTAUT; Machine Learning Algorithms; Agricultural Product  e-commerce ABSTRAK Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor yang memprediksi perilaku penggunaan platform e-commerce produk pertanian di Indonesia dengan pendekatan komprehensif menggunakan algoritma machine learning. Model penelitian menggunakan teori penerimaan dan penggunaan teknologi (UTAUT), yang terdiri dari variabel pengaruh sosial, kondisi pendukung, perilaku penggunaan, harapan kinerja, harapan usaha, niat perilaku, dan kondisi pendukung. Data dalam penelitian ini diperoleh melalui survei online. Analisis model menggunakan pendekatan partial partial least square-structural equation model (PLS-SEM). Lebih lanjut, algoritma machine learning digunakan untuk menganalisis hubungan antar elemen dalam model penelitian. Hasil penelitian menunjukkan bahwa niat perilaku diprediksi oleh ekspektasi kinerja, ekspektasi usaha, pengaruh sosial, dan faktor pendukung. Perilaku penggunaan platform e-commerce produk pertanian dipengaruhi oleh niat perilaku tersebut. Penelitian ini juga menekankan pentingnya penelitian lebih lanjut mengenai penerapan algoritma machine learning dalam memprediksi perilaku konsumsi e-commerce pertanian. Kata Kunci: UTAUT, Algoritma Machine Learning, E-commerce Produk Pertanian
Perencanaan Kurikulum PAI dalam Neningkatkan Mutu Guru di SMP IT Al-Afkary Rahmawati, Nelly; Sopian, Sopan; Berutu, Riswan
MODELING: Jurnal Program Studi PGMI Vol. 10 No. 3 (2023): September
Publisher : Program Studi PGMI Sekolah Tinggi Ilmu Tarbiyah Nahdlatul Ulama Al Hikmah Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69896/modeling.v10i3.1941

Abstract

This research focuses on curriculum planning in improving the quality of PAI teachers at SMP IT Al-Afkary. The purpose of this study was to analyze the PAI curriculum planning process at SMP IT Al-Afkary. the type used is descriptive qualitative research, namely data collected in the form of interviews, documents and so on. The results of this study indicate that the PAI curriculum management at Al-Afkary IT Middle School implements it in accordance with the vision and mission that has been previously determined because the development of noble character in students and learning Islam is a goal that is closely related to each other. The teacher manages PAI classes at the curriculum level by making lesson plans, carrying out lessons, and evaluating the learning.
Co-Authors Adetyaa, Aulia Berutu, Riswan nugraha, noviyanti Pratama, Dany Septyangga PUTRA - IRWANDI Rahmawati, Nelly Rizki Oktavianto Roberto, Nicolaus