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All Journal Jurnal Manajemen Informatika Building of Informatics, Technology and Science Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi PARETO : Jurnal Ekonomi dan Kebijakan Publik KLIK: Kajian Ilmiah Informatika dan Komputer NEGREI: Academic Journal of Law and Governance Arcitech: Journal of Computer Science and Artificial Intelligence JENDELA PENGETAHUAN Ngabdimas Abdi Reksa Jurnal Pengabdian kepada Masyarakat Arumbai Indonesian Journal of Computer Science and Engineering Jurnal Pengabdian kepada Masyarakat Arumbai
Putra, Yusran Panca
Program Studi Sistem Informasi, Universitas Bengkulu
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Pengembangan Aplikasi Perhitungan Energi Menggunakan Formula Harris Benedict Untuk Membantu Dalam Menentukan Kebutuhan Gizi Ibu Hamil Myrna Dwi Rahmatya; Rauf Fauzan; Annisa Paramitha F; Nizar Rabbi Radliya; Yusran Panca Putra
Jurnal Manajemen Informatika (JAMIKA) Vol 8 No 2 (2018): Jurnal Manajemen Informatika (JAMIKA)
Publisher : Program Studi Manajemen Informatika, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (534.278 KB) | DOI: 10.34010/jamika.v8i2.1031

Abstract

Hasil survei Demografi dan Kesehatan Indonesia (SDKI) pada tahun 2012 menyatakan bahwa status gizi ibu selama kehamilan sangatlah penting bagi perkembangan bayi di dalam rahim. Gizi merupakan zat-zat yang didapat dari makanan (karbohidrat, lemak, dan protein, oksidasi) yang dapat menghasilkan energi untuk kebutuhan tubuh dalam melakukan aktivitas. Jadi untuk mengetahui kebutuhan gizi seseorang harus dilakukan perhitungan energi yang dibutuhkan. Perhitungan kebutuhan energi dapat dilakukan dengan menggunakan formula Harris Benedict. Formula Harris Benedict digunakan untuk menghitung jumlah kalori (satuan energi) yang dibutuhkan seseorang setiap harinya. Dalam proses perhitungannya formula Harris Benedict membutuhkan nilai BMR (Basal Metabolic Rate). Energi dibutuhkan untuk beberapa fungsi vital tubuh seperti bernafas, denyut jantung, pengaturan suhu tubuh, pemeliharaan tonus otot, sekresi enzim, metabolisme makanan, sekresi hormon, dan transmisi elektrik pada otot. Khusus untuk ibu hamil nilai BMR ini akan ditambahkan dengan angka kecukupan gizi berdasarkan usia kehamilan (trimester kehamilan). Faktor lain yang mempengaruhi nilai kebutuhan energi adalah tingkat aktivitas fisik, usia, berat badan dan tinggi badan. Penelitian ini bertujuan membangun aplikasi berbasis android dan web untuk perhitungan energi menggunakan formula Harris Benedict. Hasil dari perhitungan energi dapat digunakan untuk membantu ibu hamil dalam menentukan kebutuhan gizi, sehingga dapat membantu ibu hamil dalam menjaga status gizi selama masa kehamilan.
Comparison of Personal Data Protection Laws Using Narrative Policy Framework Between Indonesia, Malaysia, and Japan Yusran Panca Putra
NEGREI: Academic Journal of Law and Governance Vol 2, No 2 (2022)
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/negrei.v2i2.5527

Abstract

The era of information and communication technology continues to grow and shows a significant increase. is a type of offensive maneuver used by a state, individual, group, or organization that targets computer information systems, infrastructure, computer networks, and or personal computer devices using malicious acts which usually originate from anonymous sources who steal, modify or destroy the specified target by hacking a vulnerable system. Cyberattacks can happen in any part of the country. The increasing use of the internet has the risk of increasingly massive hacking threats. The National Cyber and Crypto Agency (BSSN) noted that until April 2022, cyber attacks in Indonesia reached 100 million cases. This research benchmarks the situation of cyber attacks and personal data protection regulations in Indonesia with countries that have better handling of cyber crimes. The method is to compare narrative elements in the form of heroes, villains, and victims in each country, using the Narrative Policy Framework (NPF) analysis method. The Narrative Policy Framework is an approach or research framework on the public policy process, it is identified that the hero character represented by comprehensive personal data protection regulations has long been used by Japan and Malaysia. The character of heroes in Indonesia seems not to be too dominant because there are villains who are present in the form of the absence of unified regulations for the protection of personal data from the threat of cyber attacks
Pengaplikasian Metode Extreme Programming Pada Perancangan Sistem Informasi Berbasis Website Yusran Panca Putra; Willi Novrian; Darmansah
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 5 (2023): April 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i5.710

Abstract

Websites are often used to convey information from a company or other institution. The use of websites today is not only in education and government circles, but is evenly distributed in all business fields. The website has been used by MSMEs and other businesses to disseminate business information they have. It is recorded today that more than 1.9 billion websites use websites with various functions. Seeing this, PT. Yamaha Thambrin Panorama wants to take the opportunity to disseminate business information that is owned by creating a website-based information system. The business processes contained in PT. Yamaha Thambrin Panorama, namely selling motorcycles and workshops. In promoting products sold or managing data service and motorcycle spare parts, currently Information Technology services such as websites have not been maximized. Currently, the process is still using the conventional method, namely by distributing brochures and recording all transactions in the Microsoft Excel application. Based on the business processes that are currently running today, the researchers provide solutions that can help overcome the problems that have been described by designing an information system for PT. Website-based Yamaha Thambrin Panorama uses the Extreme Programming (XP) method. to ensure that all systems run as expected, the researcher uses the black box testing method. From the system that was built, it was found that all the features that were designed were running as expected
SOSIALISASI TENTANG MENGELOLA SAMPAH PADA SELOKAN DI KELURAHAN SAWAH LEBAR BARU Soni Ayi Purnama; Yusran Panca Putra; Willi Novrian
JURNAL NGABDIMAS Vol. 6 No. 01 Juni (2023): NGABDIMAS (Pengabdian Pada Masyarakat)
Publisher : P3M Institut Teknologi Pagar Alam

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

Abstract

Banyaknya aliran irigasi seperti selokan di Kelurahan Sawah Lebar Baru Kecamatan Ratu Agung Kota Bengkulu yang perlu dijaga kebersihannya, menjaga kebersihan dari sampah ini diperlukan agar terciptanya lingkungan yang sehat. Program pengabdian pada masyarakat ini bertujuan untuk memberikan edukasi dan bimbingan pada masyarakat di Kelurahan Sawah Lebar Baru Kota Bengkulu tentang mengelola sampah organik basah yang bersumber dari tumpukan sampah di selokan ataupun sampah rumah tangga, hal tersebut agar masyarakat mampu mengelola sampah organik basah menjadi pupuk cair yang memiliki nilai kebermanfaatan dan terciptanya lingkungan yang bersih dari sampah. Hasil dari pelaksanaan sosialisasi pengelolaan sampah organik basah kepada masyarakat ini yaitu terbentuknya kelompok masyarakat yang memiliki kepedulian yang tinggi untuk menjaga irigasi yakni solokan yang bersih dari sampah dan masyarakat dapat mengelola sampah organik basah menjadi pupuk cair yang memiliki nilai kebermanfaatan bagi masyarakat.
PENGEMBANGAN UMKM SAWAH LEBAR BARU MELALUI OPTIMALISASI MEDIA SOSIAL UNTUK MENINGKATKAN TRAFFIC DAN BRAND AWARENESS Yusran Panca Putra
Abdi Reksa Vol. 5 No. 1 (2024)
Publisher : UNIVERSITAS BENGKULU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31186/abdireksa.5.1.93-97

Abstract

Usaha Mikro, Kecil, dan Menengah (UMKM) memainkan peran penting dalam perkembangan ekonomi Indonesia karena dapat memberikan banyak manfaat seperti kontribusi positif terhadap perekonomian nasional dan penyerapan tenaga kerja. Kendala utama dalam pengembangan UMKM adalah tingkat kemampuan, keterampilan, keahlian, manajemen sumber daya manusia, kewirausahaan, pemasaran, dan keuangan. Dalam mengatasi kendala tersebut, pengembangan UMKM melalui optimalisasi media sosial menjadi salah satu strategi yang sangat relevan dan efektif dalam meningkatkan traffic penjualan dan brand awareness UMKM. Kelurahan Sawah Lebar Baru Kota Bengkulu merupakan contoh di mana UMKM yang ada di sana belum memanfaatkan platform digital untuk meningkatkan penjualan dan sumber daya manusia pada UMKM tersebut masih belum terlatih untuk mengelola media sosial sebagai kakas untuk meningkatkan penjualan secara daring. Melalui kegiatan Pengabdian kepada Masyarakat, tim pengabdian melakukan pelatihan dalam rangka memberikan keterampilan sumber daya manusia UMKM dalam mengoptimalkan media sosial untuk meningkatkan traffic dan brand awareness UMKM. Metode pelaksanaan pengabdian masyarakat ini dilaksanakan dengan 7 tahapan yaitu persiapan, observasi lapangan, penentuan target pasar, membuat akun sosial media dan konten berkualitas, promosi, pelatihan optimalisasi sosial media, dan rencana lanjutan. Kegiatan pengabdian kepada masyarakat ini telah memberikan kontribusi yang berarti dalam meningkatkan potensi dan daya saing UMKM di Kelurahan Sawah Lebar Baru.
Penerapan Deep Learning pada Pengolahan Data Citra dan Klasifikasi Udang Vaname Menggunakan Algoritma Convolutional Neural Network Astiti, Sarah; Nopriadi, Nopriadi; Novrian, Willi; Putra, Yusran Panca
Building of Informatics, Technology and Science (BITS) Vol 6 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i1.5418

Abstract

Deep learning-based shrimp image processing has become a rapidly growing research field in recent years. This technology aims to increase efficiency and accuracy in various applications related to the fishing and aquaculture industry, such as monitoring shrimp health, disease detection, species classification, and assessing the quality and quantity of harvested crops. Based on observations to date, fish sellers and buyers in the market have difficulty distinguishing vaname shrimp cultivated in tarpaulin ponds and earthen ponds. This research aims to apply deep learning techniques to determine the classification of Litopenaeus vannamei shrimp cultivation results in earthen ponds and tarpaulin ponds. To facilitate this research, the author uses a classification method by applying two Convolutional Neural Network (CNN) architectures, namely Visual Geometry Group-16 (VGG-16) and Residual Network-50 (ResNet-50). The dataset used in this research is 2,080 images per class of vannamei shrimp from two types of shrimp ponds. The results of this research are learning rates of 0.001 and 0.0001 on the Stochastic Gradient Descent (SGD) and Adaptive Moment Estimation (ADAM) optimizer to evaluate their effectiveness in model training. The VGG-16 and ResNet-50 models were trained with a learning rate parameter of 0.0001, taking advantage of the flexibility and reasonable control provided by the SGD optimizer. Lower learning rate values ​​were chosen to prevent overfitting and increase training stability. Model evaluation showed promising results, with both architectures achieving 100% accuracy in classifying vannamei shrimp from ground and tarpaulin ponds. The conclusion of this research is to highlight the superiority of using SGD with a learning rate of 0.0001 versus 0.001 on both architectures, then the significant impact of optimizer selection and learning rate on the effectiveness of model training in image classification tasks
Financial Feasibility Study and Development of Technical Specifications for Coffee Agroforestry for Community Forest Farmers with Revolving Fund Support for Productivity Optimization Oktoyoki, Hefri; Pratama, Benny; Putra, Yusran Panca; Novrian, Willi; Douni, James Byeker; Ansiska, Paisal
JENDELA PENGETAHUAN Vol 17 No 2 (2024): JENDELA PENGETAHUAN
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jp17iss2pp239-251

Abstract

This research investigates coffee agroforestry systems' financial feasibility and technical specifications in community forests (HKm). Coffee agroforestry is acknowledged for its potential to enhance biodiversity, increase land productivity, maintain ecological balance, and provide economic benefits for small-scale farmers. The study employs a mixed-methods approach, utilizing in-depth interviews, field observations, and questionnaires to gather primary data while incorporating reports and literature as secondary data sources. The analysis reveals that the coffee agroforestry system in HKm demonstrates financial viability, with a positive NPV, a BCR exceeding 1, and an IRR of 33%. However, challenges such as insufficient technical knowledge and limited financial support persist as significant barriers. Furthermore, this research develops technical specifications, including selecting high-quality coffee seeds, shoot grafting techniques, fertilization, and pest management practices. These specifications are intended to serve as a practical guide for farmers adopting coffee agroforestry systems, enabling them to improve productivity and economic well-being. Moreover, the findings of this study provide a solid foundation for developing policies that encourage the widespread adoption of coffee agroforestry. As a result, this research makes notable contributions to both the scientific and practical aspects of coffee agroforestry for Community Forest farmers, paving the way for further research and formulating comprehensive strategies to address the challenges farmers face.
Mekanisme MVC-Pemrograman Web Pada CMS Yang Memiliki Basis AI Sirait, Migel; Qavidhufahmi, Akhmat; Montaghib, M. Ihtifanul; Setiawan, Yudi; Erlanshari, Aan; Panca, Yusran Putra; Wijanarko, Andang
Indonesian Journal of Computer Science and Engineering Vol. 2 No. 01 (2025): IJCSE Volume 02 Nomor 01, Mei 2025
Publisher : CV. Cendekiawan Muda Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70656/ijcse.v2i01.311

Abstract

Artikel ini membahas penerapan arsitektur Model-View-Controller (MVC) dalam pengembangan Content Management System (CMS) modern yang mengintegrasikan teknologi kecerdasan buatan (AI). Dengan struktur modularnya, arsitektur MVC memberikan kemudahan dalam memisahkan logika, antarmuka, dan kontrol aplikasi. Integrasi AI dalam CMS meningkatkan kemampuan otomatisasi, analisis perilaku pengguna, dan interaksi berbasis konteks. Tulisan ini menyajikan hasil studi pustaka yang mencakup penerapan MVC dan AI dalam pengembangan CMS dengan studi kasus dari framework Laravel dan implementasi di Indonesia.
Systematic Literature Review (SLR) pada Aplikasi Process Mining dalam Transformasi Digital Proses Bisnis Putra, Yusran Panca; Okka Adittio Putra; Willi Novrian
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 5 No. 1 (2025): June 2025
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v5i1.13888

Abstract

Digital transformation compels organizations to enhance the efficiency and transparency of their business processes. Process mining has emerged as a pivotal approach that leverages event logs from information systems to evaluate and improve processes in a data-driven manner. This study aims to conduct a Systematic Literature Review (SLR) of existing research exploring the application of process mining in supporting business process digital transformation. Relevant literature was retrieved from the Scopus database and filtered using rigorous inclusion and exclusion criteria, resulting in ten primary studies analyzed through the PICOS framework and PRISMA diagram. The findings indicate that process discovery, heuristic mining, and fuzzy mining are the most commonly employed techniques, with tools such as ProM and Disco frequently utilized. Research trends show increasing integration of process mining with artificial intelligence, simulation, and process automation technologies. However, several challenges remain, including limited data log quality and availability, lack of cross-system integration, and minimal validation in real-world settings. This study highlights the strategic role of process mining as a key enabler of digital transformation by enhancing efficiency, process visibility, and data-driven decision-making, while also providing a research landscape and future development directions in the domain.
Perencanaan Strategis Sistem Informasi Klinik Bersalin Menggunakan Kerangka Kerja TOGAF ADM Hadiana, Ana; Putra, Yusran Panca
Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi Vol. 6 No. 2 (2020): November 2020
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jtk3ti.v6i2.5541

Abstract

Negara berkembang memiliki permasalahan serius pada sektor kesehatan diantaranya adalah angka kematian dan kesakitan ibu yang masih tinggi. Pada tahun 2014 World Health Organization (WHO) membuat laporan mengenai Angka Kematian Ibu (AKI), hasil yang didapatkan yaitu 289.000 jiwa. Pada tahun 2012 dilakukan Penelitian oleh Survey Demografi dan Kesehatan Indonesia (SDKI) dan hasilnya adalah terjadi peningkatan Angka Kematian Ibu (AKI) pada tahun 2007 sebesar 228/100.000 kelahiran hidup menjadi 359/100.000 kelahiran hidup pada tahun 2012. Berdasarkan data Riskesdas tahun 2013 menunjukan bahwa persalinan yang dilakukan di klinik/rumah bersalin adalah persalinan dengan presentase tertinggi yaitu sebesar 38%. Pemerintah Indonesia sudah memiliki standar pelayanan kesehatan yang diatur dalam Peraturan Mentri Kesehatan Republik Indonesia no 97 tahun 2014 mengenai pelayanan kesehatan kehamilan, penyelenggaraan pelayanan kontrasepsi, dan pelayanan kesehatan seksual. Klinik/rumah bersalin sebagai tempat dengan presentase tertinggi dilakukannya persalinan harusnya sesuai standar guna mengurangi resiko AKI. Pada penelitian ini akan menggunakan TOGAF sebagai kerangka kerja perencanaan enterprise architecture berdasarkan indikator penyelenggaraan upaya kesehatan klinik dengan mempertimbangkan bahwa TOGAF menyediakan langkah-langkah dalam membangun arsitektur sistem informasi, karena didesain sebagai framework yang bersifat generik dan memiliki keselarasan yang baik antara bisnis dan teknologi. Hasil dari penelitian ini berupa cetak biru arsitektur enterprise Klinik Bersalin Buah Hati yang akan meningkatkan pelayanan klinik secara keseluruhan, serta diharapkan mampu membantu menurunkan Angka Kematian Ibu ( AKI ). Kata kunci — Sistem Informasi, Arsitektur Teknologi, TOGAF-ADM.
Co-Authors Afriani, Annisa Ana Hadiana, Ana Annisa Paramitha F Ansiska, Paisal Darmansah Douni, James Byeker Erlanshari, Aan Faradik, Mela Julia Purnama Sari Montaghib, M. Ihtifanul Myrna Dwi Rahmatya Nizar Rabbi Radliya Nopriadi Nopriadi Novrian, Willi Okka Adittio Putra Oktoyoki, Hefri Paulina, Maria Pranatha, Hananda Fitra Pratama, Benny Qavidhufahmi, Akhmat Rauf Fauzan Sarah Astiti S.Kom., M.MT Sirait, Migel Soni Ayi Purnama Wijanarko, Andang Willi Novrian Willi Novrian Willi Novrian Willi Novrian Yudi Setiawan