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All Journal Jurnal Komputer Terapan JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat)
Hanifah, Puja
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Computer Science & IT Economics, Econometrics & Finance Education Engineering Health Professions Social Sciences

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Implementasi Sistem Informasi Profil Kelurahan (Studi Kasus: Kelurahan Umban Sari) Ramadhani, Shumaya Resty; Sari, Rika Perdana; Kreshna, Jan Alif; Sari, Juni Nurma; Hanifah, Puja; Hidayat, Erzi; Wahyuni, Retno Tri
JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat) Vol. 1 No. 2 (2023): JITER-PM
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (465.018 KB) | DOI: 10.35143/jiter-pm.v1i2.5897

Abstract

Penyusunan dan penulisan Profil Kelurahan merupakan amanat yang secara jelas dimandatkan dalam Peraturan Menteri Dalam Negeri Nomor 12 Tahun 2007 tentang Pedoman Penyusunan dan Pendayagunaan Data Profil Desa dan Kelurahan. Atas dasar ini kemudian Lurah Umbansari bekerjasama dengan kelompok dosen Politeknik Caltex Riau, mencoba merealisasikannya dalam bentuk sistem informasi. Penyusunan profil kelurahan Umbansari ini dilakukan dengan beberapa tahap kegiatan, seperti pengumpulan, pengolahan dan publikasi data profil kelurahan, untuk mendapatkan gambaran tentang potensi dan tingkat perkembangan kelurahan yang akurat dan komprehensif. Adapun data yang digunakan untuk pembuatan sistem informasi ini adalah data dasar keluarga, potensi sumber daya alam, sumber daya manusia, kelembagaan, prasarana dan sarana serta perkembangan kemajuan kelurahan, yang diperoleh dari pihak keluarahan. Dengan terimplementasinya sistem informasi profil kelurahan Umbansari, diharapkan dapat digunakan untuk mendorong perkembangan kelurahan dimasa depan.
PENGEMBANGAN APLIKASI MOBILE UNTUK DETEKSI CACAT BIJI KOPI ROBUSTA BERDASARKAN STANDAR NASIONAL INDONESIA Hanifah, Puja; Antoni, Hanif Ifran; Ramadhani, Shumaya Resty; Yuliska, Yuliska
Jurnal Komputer Terapan Vol 10 No 2 (2024): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/jkt.v10i2.6472

Abstract

Coffee is one of the most important raw materials for beverages worldwide. Indonesia is one of the world's leading coffee producers and exporters, and coffee consumption is currently increasing. To maintain the taste of coffee, it is necessary to preserve the quality of coffee beans. The government has established the Indonesian National Standard (SNI) 01-2907-2008 regarding coffee beans. The process of determining the quality of beans is carried out by processors who manually follow the steps outlined in the SNI. Therefore, to accelerate the quality determination process and provide knowledge to the general public, the author has developed a mobile-based coffee bean quality detection application to determine the grade of coffee beans using an Android platform. This application incorporates a machine learning model based on object detection. For the machine learning implementation, TensorFlow and Convolutional Neural Network (CNN) architecture are used. From the training data results, an average accuracy of 84% was achieved, indicating that the application generally detects correctly. Additionally, testing was conducted on several smartphones and at varying detection distances. The testing results showed that the optimal distance for detection is 15 cm to obtain accurate and detectable data. Furthermore, the smartphone with the best performance was the Smartphone A30, featuring a 16 MP resolution camera.
IMPLEMENTASI SISTEM INFORMASI DONASI MINYAK JELANTAH (SIMINAH) BERBASIS DIGITAL DI KOTA DUMAI DENGAN PENDEKATAN LEAN SOFTWARE DEVELOPMENT Ramadhani, Shumaya Resty; Hanifah, Puja; Yuliska, Yuliska; Najwa, Nina Fadila; Hartanto, Boby; Syaliman, Khairul Umam
Jurnal Komputer Terapan Vol 10 No 2 (2024): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/jkt.v10i2.6474

Abstract

Used cooking oil, or waste cooking oil, is the byproduct of repeatedly using cooking oil, which results in the formation of substances harmful to the body. Furthermore, improper waste cooking oil management poses a risk of environmental pollution. To address this issue, PT. Kilang Pertamina Internasional Refinery Unit II Dumai (PT. KPI RU II), through its Corporate Social Responsibility (CSR) program, initiated the "Sedekah Jelantah" program. This initiative involves the CSR division, several sub-districts in Dumai Timur, and the general public, aiming to raise awareness about environmental pollution and promote urban greening in Dumai. To support the program's implementation, a digital system is essential to efficiently manage the donation flow of waste cooking oil from upstream to downstream. Therefore, an integrated web and mobile-based information system, called Sistem Informasi Minyak Jelantah (SiMINAH), was developed using the Lean Software Development (LSD) methodology. Blackbox testing, user acceptance testing (UAT), and usability testing were conducted to ensure the system's quality. The black box testing and UAT results revealed that 100% of the application functions performed well and met stakeholder expectations. The usability test showed 87.3%, indicating that the system is highly feasible and meets user needs. All users provided positive feedback on SiMINAH, noting that it simplifies waste cooking oil donations and enhances management processes for local sub-districts and the Dumai city CSR team.
Pengelolaan Strategi Pemasaran Badan Melayu Riau Menghadapi Dinamika Bisnis di Era Digital Juni, Juni; Hanifah, Puja; Rizky Mirza, Junaldo; Alimbel, Figo
JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat) Vol. 3 No. 2 (2025): JITER-PM
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/jiter-pm.v3i2.6512

Abstract

PT BMR Music Store telah membangun reputasi sebagai salah satu pelopor toko alat musik tradisional Melayu Riau di Pekanbaru sejak 2014, namun kini mereka tengah menghadapi tantangan dalam merancang strategi pemasaran yang efektif. PT BMR Store merespon dengan upaya pemasaran melalui media sosial dan keikutsertaan dalam event-event lokal. Namun, mereka belum mampu memanfaatkan potensi pemasaran digital secara maksimal. Dalam rangka mengatasi permasalahan ini, Tim Pengabdian kepada Masyarakat (PkM) PCR bersama PT BMR Music Store menyusun rencana strategis pemasaran yang berfokus pada peningkatan visibilitas dan penjualan alat musik tradisional Melayu Riau melalui pelatihan pengelolaan staregi pemasaran untuk menghadapi dinamika bisnis di era digital. Solusi yang diusulkan meliputi peningkatan penggunaan sosial media dan marketplace, penyusunan jadwal pemasaran yang terstruktur, serta pembentukan kemitraan dengan komunitas musik dan penyelenggara event budaya.. Rencana kegiatan meliputi analisis pasar, analisa SWOT untuk penyusunan rencana strategis pemasaran dan pelatihan digital marketing. Dengan implementasi rencana kegiatan yang diusulkan, diharapkan PT BMR Music Store dapat mengatasi permasalahan pemasaran yang dihadapi dan meningkatkan peran serta mereka dalam melestarikan dan memperkenalkan warisan budaya lokal kepada masyarakat luas
Co-Authors Alimbel, Figo Antoni, Hanif Ifran Hartanto, Boby Hidayat, Erzi Juni Nurma Sari Juni, Juni Khairul Umam Syaliman Kreshna, Jan Alif Najwa, Nina Fadila Rika Perdana Sari, Rika Perdana Rizky Mirza, Junaldo Wahyuni, Retno Tri Yuliska, Yuliska