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Sistem Keamanan Pintu Berbasis Face Recognition Menggunakan Raspberry Pi 3 Pribadi, Antoni; Fitri, Fitri; Safitri, Mulya; Nofiar. Am, Andri; Ridwan, Muhammad
Jurnal Ilmiah FIFO Vol 16, No 1 (2024)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/fifo.2024.v16i1.005

Abstract

Menurut Badan Pusat Statistik tahun 2021 mengatakan bahwa tingkat kejahatan pencurian pada tahun 2020 di Riau meningkat sebesar 2.730 kasus, oleh sebab itu kasus pencurian dirumah menjadi hal yang sangat sering terjadi. Penyebab terjadinya pencurian tersebut ialah karena banyaknya rumah yang memakai sistem kunci gembok tradisional yang bentuknya kecil. Terdapat banyak solusi yang telah dibuat oleh peneliti terdahulu seperti menggunakan sidik jari, password, sensor PIR, suara, retina dan lain-lain. Namun semua masih terdapat kekurangannya masing-masing. Untuk itu solusi yang diberikan ialah dengan membuat sistem keamanan pintu rumah berbasis face recognition. Face recognition sendiri ialah sebuah teknologi yang dapat mencocokkan wajah manusia dari citra digital atau cuplikan video melalui basis data wajah. Tujuan dari penelitian ini ialah sistem mampu mengidentifikasi wajah pemilik rumah. Sistem berhasil mengirimkan informasi berupa foto, tag nama dan waktu pada aplikasi Bot Telegram grup yang di monitoring oleh anggota keluarga terkait seseorang yang masuk kedalam rumah. Sistem juga berhasil menampilkan pesan teks pada LCD 16x2 untuk memberikan info tag nama seseorang yang sedang mengakses kamera.
Pembuatan Sistem Informasi E-Office KUD Sawit Jaya Berbasis Web Dengan Menggunakan Framework Codeigniter 3 Nofiar.Am, Andri; Kurnia Oktorina, Fenty; Fitri, Fitri; Ridwan, Muhammad
JDISTIRA - Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Vol. 2 No. 1 (2022)
Publisher : Yayasan Rahmatan Fidunya Wal Akhirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (782.277 KB) | DOI: 10.58794/jdt.v2i1.42

Abstract

Proses kegiatan dalam pengelolaan dokumen surat serta aktifitas perkantoran lain yang ada di KUD Sawit Jaya masih dilakukan secara manual. Dimana sekretaris akan mencatat setiap dokumen masuk maupun keluar kedalam buku agenda, kemudian sekretaris akan menggandakan dokumen tersebut untuk diserahkan kepada kepala dan dijadikan arsip. Mengingat sekretaris akan mendatangi ruangan kepala untuk menyerahkan dukumen dan meminta tanggapan yang kemungkinan kepala tidak berada ditempat sehingga surat masuk atau dokumen lainnya tidak mendapatkan respon dengan cepat. Solusi yang dilakukan untuk permasalahan ini yaitu dengan membuat sebuah sistem informasi e-office yang berbasis website yang dapat membantu proses penyimpanan dokumen dalam bentuk database dan setiap surat yang masuk akan lebih cepat mendapatkan tanggapan dari kepala sehingga tidak ada surat yang tidak mendapatkan respon. Dalam proses implementasi dilakukan dengan menggunakan bahasa pemograman PHP, phpMyAdmin untuk mengelola database di MySQL dan Framework Codeigniter 3
Analisis Model Manajemen Permintaan SCM dan Peramalan Penjualan Busana Menggunakan Metode Holt-Winter Exponential Smoothing Tasia, Ena; Nazira, Nanda; A’yuniyah, Qurotul; Fikri , M. Hayatul; Am, Andri Nofiar
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 6 No. 4 (2023): Oktober
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v6i4.20313

Abstract

Sales forecasting is a highly crucial strategy in the business world, as it significantly contributes to enhancing a company's profits. In this context, sales transaction forecasting plays a vital role in assisting business decision-makers in planning effective sales strategies. The utilization of the Holt-Winters Exponential Smoothing method in sales forecasting demonstrates an effective approach. In this study, this method was applied to retail sales data of Muslim clothing from 2021 to 2023. By setting the parameters ? = 0.9, ? = 0.1, and ? = 0.1, the forecasting results indicate a high level of accuracy with low values for Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE), amounting to 29.93, 295.93, and 0.62%, respectively. Consequently, the forecast reveals that the inventory of clothing for periods 13 to 16 is 83, 228, 129, and 115, respectively
Analisis Pengendalian Persediaan Bahan Baku Produksi dengan Metode EOQ (Studi Kasus: Pawon Mas Herman) Kamila, Muthia; Rahmadani, Desvita; Fitri, Nadila Gusrialni; Am, Andri Nofiar
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 6 No. 4 (2023): Oktober
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v6i4.21008

Abstract

One important role in business operations is based on inventory, which is the underlying principle of business. Therefore, a business must be able to predict potential problems as well as potential traps in inventory management in order to the ultimate goal, namely to reduce the total cost to be borne by inventory. Pawon mas herman is one of the bakso shops in Pekanbaru that has been established since 1998. Pawon mas herman is experiencing a fairly rapid business expansion, but a lack of management system or methods to buy or collect raw materials, causes this restaurant to suffer from material shortages or even raw materials shortfalls during the hours of operation. To ensure the business continues from the production process and avoid stopping or collapse due to a shortage of raw materials namely meat and chicken, pawon masherman needs to have a proper plan. The Economic Order Quantity (EOQ) method is used to help in solving problems in particular requirements related to the supply of raw materials. The result of this study is that by using the EOQ method, Pawon Mas Herman farm can save shipping costs up to Rs. 4,740,000. Because, based on the calculations completed using the eOQ technique, the owner of the farm must make meat orders every 7 days, weighing at least 7 kg of meat each time ordering. Pawon Mas Herman is advised to use the EOQ method for control of supplies, there is a significant cost difference.
Performance measurement design using objective matrix (Case study: an egg-laying chicken farming) Afifah, Belia; Habibie, Indra; Zulfikar, Zulfikar; Nurkholis, Nurkholis; Am, Andri Nofiar; Putri, Dini Amalia
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 1 (2025): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i1.38942

Abstract

Increased demand and quality pressures are affecting businesses, as experienced by an Egg Laying Chicken Farming, a small and medium-sized enterprise (SME) Poultry Farm located in Salo Subdistrict, Kampar Regency, Riau Province. Previously, performance evaluations were solely based on monthly egg product sales. Therefore, this research aims to analyze the potential and constraints, and to prioritize strategies for business owners by comprehensively measuring business performance, thus allowing for the provision of suitable strategic recommendations. The measurement model is based on several indicators such as Productivity of Laying Hens, Effective Working Hours, Ratio of defect product, Equipment Productivity, and Productivity of Labor Involved, using the Objective Matrix (OMAX) method. The measurement results are analyzed using the Traffic Light System (TLS) to identify the ratio of indicators that fall below the standards set by the business owner, allowing for further analysis to obtain useful strategic recommendations for future productivity improvement.
Optimalisasi Kualitas Air dalam Pembibitan Ikan Baung melalui Sistem Monitoring Berbasis IoT di Pusat Pelatihan Mandiri Kelautan dan Perikanan (P2MKP) Pribadi, Antoni; Nofiar. Am, Andri; Oktorina, Fenty Kurnia; Nasari, Fina; Fitri, Fitri; Ridwan, Muhammad; Habibie, Indra; Nurkholis, Nurkholis; Zulfikar, Zulfikar
Inovasi Teknologi Masyarakat (INTEKMAS) Vol. 2 No. 2 (2024): December 2024
Publisher : Wadah Inovasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53622/intekmas.v2i2.287

Abstract

Pusat Pelatihan Mandiri Kelautan dan Perikanan (P2MKP) berada di bawah Kementerian Kelautan dan Perikanan Republik Indonesia, fokus pada pengembangan budidaya ikan baung. Sejak didirikan pada tahun 2011, P2MKP telah menjalankan program pelatihan bagi masyarakat, khususnya para pembudidaya ikan di Kabupaten Kampar, untuk meningkatkan keterampilan dalam teknologi budidaya yang berkelanjutan. Pengukuran kualitas air di P2MKP saat ini masih dilakukan secara manual menggunakan metode tradisional, seperti kertas indikator untuk mengukur pH, suhu, dan kejernihan air. Cara ini memerlukan waktu dan keahlian, sehingga rentan terhadap kesalahan interpretasi yang bisa mempengaruhi pengelolaan kolam. Untuk memperbaiki proses ini, program Pengabdian kepada Masyarakat membuat sistem monitoring kualitas air berbasis IoT (Internet of Things). Sistem ini menggunakan sensor untuk memantau parameter penting seperti suhu, pH, dan kekeruhan air secara real-time. Data yang diperoleh akan diakses melalui aplikasi mobile atau dashboard berbasis web, sehingga petugas P2MKP dapat dengan mudah memantau kondisi air kapan saja. Inovasi ini dapat meningkatkan akurasi dan efisiensi dalam pengelolaan kolam pembibitan ikan baung.
PROTOTYPE DETEKSI LEVEL KANTUK BERDASARKAN EYE ASPECT RATIO MENGGUNAKAN METODE FACIAL LANDMARK BERBASIS ORANGE Pi Am, Andri Nofiar
JSR : Jaringan Sistem Informasi Robotik Vol 8, No 1 (2024): JSR: Jaringan Sistem Informasi Robotik
Publisher : AMIK Mitra Gama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58486/jsr.v8i1.358

Abstract

The Prototype for Detecting Drowsiness Levels based on Eye Aspect Ratio using the Orange Pi-based Facial Landmark Method is a tool that can detect users in three levels of drowsiness, namely normal, drowsiness, or asleep. This tool uses EAR threshold parameters and utilizes the facial landmark method to detect points on the eye. The test results showed that the prototype device was able to function well after undergoing tests on distance, camera angle, eye size, use of glasses and light intensity. At testing distances of 25 cm, 35 cm, 50 cm, 70 cm, 85 cm, 100 cm, 130 cm and 155 cm, the tool can detect the user's eyes according to conditions. However, in tests based on angles it was found that the tool could detect the user's eyes at angles of 90o, 80o and 70o, except at the 60o angle due to the limited viewing angle of the camera so the tool could not detect the condition of the user's eyes at that angle.
Strategi Pengembangan Manajemen Bisnis Digital Berbasis Web untuk Mendukung Ketahanan Pangan Lokal di Sektor Perikanan Patin Kecamatan XIII Koto Kampar Andri Nofiar. Am; Rahmad Akbar; M. Alkadri Perdana; Antoni Pribadi; M. Rukhsah
Inisiatif: Jurnal Ekonomi, Akuntansi dan Manajemen Vol. 4 No. 4 (2025): Oktober: Inisiatif : Jurnal Ekonomi, Akuntansi dan Manajemen
Publisher : Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30640/inisiatif.v4i4.5226

Abstract

The rapid development of digital technology has created new opportunities for strengthening local economies, especially in rural areas with unique commodity potentials. This study aims to develop a digital business strategy to enhance the local economy based on the catfish (ikan patin) commodity in Kampung Patin. The research employs a qualitative descriptive approach using SWOT analysis to identify internal and external factors that influence the digital transformation of local entrepreneurs. Data were collected through interviews, field observations, and documentation involving fish farmers, business owners, and local government representatives. The results of the SWOT analysis reveal that community solidarity and product quality are the main strengths, while weaknesses include limited digital literacy and marketing capacity. Opportunities arise from the growth of e-commerce platforms and government support for digitalization programs, whereas threats come from increasing market competition and technological gaps. The findings suggest that strengthening digital marketing capabilities, building a collective brand identity, and developing a local e-marketplace can enhance competitiveness and promote sustainable economic growth in Kampung Patin.
Using K-Means Clustering to Analyze Socio-Economic Welfare of Oil Palm Farmers for Decision Support and Contextual Learning Integration Fenty Kurnia Oktorina; Zulfikar; Andri Nofiar Am; Nurkholis; Agung Pramono
Jurnal Penelitian Pendidikan IPA Vol 11 No 4 (2025): April
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i4.10975

Abstract

This study aims to cluster the welfare levels of oil palm farmers in Gading Sari Village, Tapung, using the K-Means Clustering algorithm. The analyzed variables include land area, family dependents, average monthly income, additional income, and educational attainment. Previous studies have extensively discussed the welfare of oil palm farmers. This research uses clustering methods to uncover new and more detailed findings about the welfare of oil palm farmers in rural areas. This approach offers a fresh perspective and can be utilized to support data-driven decision-making processes by the government. Data were collected through interviews with 111 oil palm farmers, processed through normalization, and analyzed using the elbow method to identify the optimal number of clusters. The results identified three main clusters: low, medium, and high welfare levels. Land area and average monthly income were the most significant differentiating factors among the clusters. This study's fundamental distinction lies in applying the K-Means algorithm to integrate the socioeconomic aspects of oil palm farmers into specific clusters. These clusters will provide new insights into their welfare conditions. The findings are expected to assist governments and stakeholders in designing more effective and targeted development programs for oil palm
Implementasi Digital Marketing pada UMKM Kebab Zannah Nurhidayah Nurhidayah; Andri Nofiar. Am; Larbiel Hadi
Jurnal Pelayanan dan Pengabdian Masyarakat Indonesia Vol. 5 No. 2 (2026): Juni : Jurnal Pelayanan dan Pengabdian Masyarakat Indonesia
Publisher : Sekolah Tinggi Ilmu Administrasi Yappi Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jppmi.v5i2.2794

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a significant role in supporting Indonesia's economic growth; however, many still face challenges in utilizing digital technology for marketing activities. Kebab Zannah MSME in Bengkalis Regency primarily relied on word-of-mouth promotion, resulting in limited market reach. This community service program aimed to implement digital marketing strategies to enhance the marketing capacity of Kebab Zannah through the effective use of digital platforms. The program employed a participatory approach consisting of field surveys, needs assessment, SWOT analysis, Segmentation, Targeting, and Positioning (STP) analysis, social media content calendar development, promotional content creation, and Instagram-based marketing implementation. The results demonstrated improved owner capability in managing social media, the development of a more structured digital marketing strategy, stronger brand identity, and the availability of well-planned promotional content. Furthermore, the implementation of digital marketing created greater opportunities to increase product visibility, expand market reach, and strengthen customer engagement. Therefore, digital marketing can be considered an effective strategy for improving MSME competitiveness and supporting sustainable business growth in the digital era.