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Devi Yuliana, Devi
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Digital Startup "Veggie Fresh" using Code Igniter and Design Thinking Method Akhlak, Muhammad Lutfi Mahasinul; Winanto, Andri; Yuliana, Devi; Ayuningtyas, Anastasia Riesa
Innovation, Technology, and Entrepreneurship Journal Vol 2 No 1 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/itej.12808

Abstract

This study aims to create a digital startup with an e-commerce platform named VeggieFresh that provides fresh vegetables directly from farmers to consumers. This startup has effectively answered user needs by making it easier for customers to buy fresh and quality vegetables without having to leave home. The VeggieFresh startup also helps farmers market their agricultural products more effectively and efficiently. The method used is Design Thinking, which focuses on a deep understanding of user needs and creating innovative solutions. Design Thinking stages such as Empathize, Define, Ideate, Prototype, and Test are applied to identify challenges customers and farmers face, formulate appropriate solutions, and test the prototypes created. The analysis used is SWOT analysis and TELOS feasibility analysis. The user interface design uses the GSTALT principle to make the appearance more elegant and responsive. The prototype developed got a positive response from users with the results of the Usability Heuristic test of 82%. This shows that this startup has met user needs with an intuitive and user-friendly interface. Thus, VeggieFresh has great potential to become an effective e-commerce solution that connects farmers and consumers and increases efficiency and convenience in shopping for fresh vegetables.
Strategi Pengembangan Ternak Sapi Potong Di Kabupaten OKU Timur Provinsi Sumatera Selatan Yuliana, Devi; Eko Prastya Putra, Ary; Arya Sukrawan, Gede
Jurnal Bakti Agribisnis Vol. 11 No. 01 (2025): Jurnal Bakti Agribisnis
Publisher : Sekolah Tinggi Ilmu Pertanian (STIPER) Belitang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53488/jba.v11i01.182

Abstract

Tujuan dari penelitian ini adalah untuk: 1) mengetahui wilayah di Kabupaten Ogan Komering Ulu Timur yang basisnya ternak sapi potong. 2) menganalisis strategi pengembangan ternak sapi potong di Kabupaten Ogan Komering Ulu Timur. Hasil penelitian menunjukkan bahwa wilayah yang merupakan basis dalam pengembangan ternak sapi terdapat 9 kecamatan yang meliputi Kecamatan Bunga Mayang (1,17), BP. Peliung (1,31), Madang Suku II (1,31), Madang Suku I (1,42), Belitang Madang Raya (1,50), Belitang (1,07), Belitang III (1,49), Belitang Mulya (1,26), dan Semendawai Suku III (1,65), sedangkan untuk 11 kecamatan lainnya ternak sapi tidak tergolong basis karena nilai LQ kurang dari 1. Strategi pengembangan ternak sapi potong yang perlu dilakukan di Kabupaten OKU Timur adalah strategi strength-opportunity (S-O) yaitu dengan meningkatkan populasi ternak sapi dengan memanfaatkan teknologi reproduksi, melakukan integrasi dalam sistem agribisnis ternak sapi potong dari hulu ke hilir, dan optimalisasikan peran dan dukungan dari pihak swasta dan pemerintah dalam pengembangan ternak sapi potong.
PENERAPAN METODE TEOREMA BAYES DALAM IDENTIFIKASI DAN PENANGANAN PENYAKIT KANDUNGAN Purnomo, Nopi; Wardana, Bendra; Yuliana, Devi; Rasyid, M.; Hasibuan, Riska Ardilla
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.3734

Abstract

Abstract: Expert systems, a branch of Artificial Intelligence (AI), are designed to represent expert knowledge within a computer system, allowing users to receive solutions as if consulting a human expert. In developing expert systems, an appropriate method is required, one of which is the Bayes Theorem. This method is used to calculate the probability of an event based on available observational data, enabling more accurate disease diagnosis based on patient symptoms. This study applies the Bayesian approach to address uncertainty in identifying gynecological diseases through conditional probability calculations. The data processing results show the probability distribution of various gynecological conditions, including: Anemia (75.38%), Hypertension (14.77%), Placenta Previa (5.00%), Premature Birth (3.00%), Hypotension (0.92%), Hyperemesis Gravidarum (0.63%), Ectopic Pregnancy (0.17%), Ovarian Cyst (0.12%), Uterine Cancer (0.002%), and Endometriosis (0.001%). Based on the findings, anemia is the most commonly experienced condition among pregnant women. Anemia can lead to fatigue, dizziness, fetal developmental disorders, and even premature labor. Therefore, it is recommended to consume iron-rich foods and undergo regular prenatal check-ups to monitor hemoglobin levels and prevent further complications. Keywords: Expert Systems, Identification, obstetric disease, Bayes Theorem. Abstrak: Sistem pakar, yang merupakan bagian dari cabang kecerdasan buatan (Artificial Intelligence), dirancang untuk merepresentasikan pengetahuan seorang pakar ke dalam sistem komputer sehingga pengguna dapat memperoleh solusi seolah-olah berkonsultasi langsung dengan pakar. Dalam pengembangan sistem pakar, dibutuhkan metode yang tepat, salah satunya adalah metode Teorema Bayes. Metode ini digunakan untuk menghitung probabilitas suatu kejadian berdasarkan data observasi yang tersedia, sehingga proses diagnosis penyakit dapat dilakukan secara lebih akurat berdasarkan gejala yang dialami pasien. Penelitian ini menerapkan pendekatan Teorema Bayes untuk menangani ketidakpastian dalam proses identifikasi penyakit kandungan melalui perhitungan probabilitas bersyarat. Hasil pengolahan data menunjukkan distribusi probabilitas beberapa jenis penyakit kandungan, di antaranya: Anemia (75,38%), Hipertensi (14,77%), Plasenta Previa (5,00%), Prematur (3,00%), Hipotensi (0,92%), Hyperemesis Gravidarum (0,63%), Kehamilan Ektopik (0,17%), Kista Ovarium (0,12%), Kanker Rahim (0,002%), dan Endometriosis (0,001%). Dari hasil tersebut, anemia merupakan kondisi paling dominan yang dialami ibu hamil. Anemia berisiko menyebabkan kelelahan, pusing, hambatan perkembangan janin, hingga kelahiran prematur. Oleh karena itu, penanganan yang disarankan meliputi konsumsi makanan kaya zat besi serta pemeriksaan kehamilan secara rutin untuk memantau kadar hemoglobin dan mencegah komplikasi lebih lanjut. Kata kunci: Sistem Pakar, Identifikasi, Penyakit Kandungan, Teorema Bayes.
SIMULASI MONTE CARLO DALAM MEMPREDIKSI TINGKAT LONJAKAN PENUMPANG DI BANDARA INTERNASIONAL MINANGKABAU Yuliana, Devi; Purjumatin, Purjumatin
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4151

Abstract

Abstract: Minangkabau International Airport (BIM) serves as one of the main air terminals in West Sumatra, located in Ketaping, Batang Anai District, Padang Pariaman Regency, approximately 23 km from the center of Padang City. During holidays, there is often an increase in the number of passengers that is difficult to predict. This study aims to predict the surge in passengers at Minangkabau International Airport (BIM), thus facilitating management in making decisions when there is an increase in passengers in the future. The data used in this study includes the number of passengers for the Padang-Jakarta route in 2023 and 2024. The data was then analyzed using the Monte Carlo method. The Monte Carlo method is a simulation technique that utilizes random processes to solve complex mathematical, statistical, or computational problems that are difficult to analyze directly. This method is widely applied to estimate numerical values, predict probabilities, and optimize decision-making in various sectors, including finance (such as stock price forecasting), risk management, industrial and manufacturing engineering, physics and chemistry, as well as informatics and artificial intelligence. Simulation results using the Monte Carlo method predict a surge in passengers in September, with an average accuracy of 90%. With this high level of accuracy, the Monte Carlo method can be recommended as a tool for predicting passenger surges and improving passenger service at Minangkabau International Airport.Keywords: Modeling and Simulation, Monte Carlo, Prediction, Passengers, Airports. Abstrak: Bandara Internasional Minangkabau (BIM) berfungsi sebagai salah satu terminal udara utama di Sumatera Barat, berlokasi di Ketaping, Kecamatan Batang Anai, Kabupaten Padang Pariaman, yang berjarak sekitar 23 km dari pusat Kota Padang. Pada hari-hari libur, seringkali terjadi peningkatan jumlah penumpang yang sulit diprediksi. Penelitian ini bertujuan untuk memprediksi lonjakan penumpang di Bandara Internasional Minangkabau (BIM), sehingga memudahkan manajemen dalam mengambil keputusan saat terjadi peningkatan penumpang di masa mendatang. Data yang digunakan dalam penelitian ini mencakup jumlah penumpang untuk rute Padang-Jakarta pada tahun 2023 dan 2024. Data tersebut kemudian dianalisis dengan menggunakan metode Monte Carlo. Metode Monte Carlo adalah teknik simulasi yang memanfaatkan proses acak untuk menyelesaikan masalah matematis, statistik, atau komputasi yang kompleks dan sulit untuk dianalisis secara langsung. Metode ini banyak diterapkan untuk memperkirakan nilai numerik, memprediksi probabilitas, dan mengoptimalkan pengambilan keputusan di berbagai sektor, termasuk keuangan (seperti peramalan harga saham), manajemen risiko, teknik industri dan manufaktur, fisika dan kimia, serta informatika dan kecerdasan buatan. Dari hasil simulasi menggunakan metode Monte Carlo, diprediksi bahwa pada bulan September akan terjadi lonjakan penumpang dengan tingkat akurasi rata-rata mencapai 90%. Dengan akurasi yang cukup tinggi ini, penerapan metode Monte Carlo dapat direkomendasikan sebagai alat untuk memprediksi lonjakan penumpang dan juga untuk meningkatkan pelayanan kepada calon penumpang diBandara Internasional Minangkabau.Kata kunci: Sistem Pakar, Identifikasi, Penyakit Kandungan, Teorema Bayes.
Sistem Presensi Perkuliahan dengan Face Recognition untuk Meminimalisir Kecurangan Menggunakan Metode Haar Cascade Classifier Ayuningtyas, Ar; Yuliana, Devi; Hutagaol, RA; Budi, DS; Ferdiansyah, MF; Yunita, Farida
Jurnal Pendidikan Tambusai Vol. 8 No. 2 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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

Abstract

Sistem presensi perkuliahan menggunakan pengenalan wajah dengan metode Haar Cascade Classifier bertujuan meminimalisir kecurangan dan meningkatkan efisiensi dalam melakukan presensi perkuliahan. Teknologi face recognition memberikan informasi kehadiran yang akurat dan tidak dapat dimanipulasi. Penelitian ini menggabungkan metode Haar Cascade Classifier untuk deteksi wajah dan Local Binary Patterns Histograms (LBPH) untuk mengenali dan membandingkan pola wajah yang disimpan dalam database, untuk mengatasi kelemahan teknik sebelumnya dalam mengenali variasi ekspresi wajah. Penggunaan teknologi ini diharapkan dapat mempermudah tugas dosen dalam mencatat kehadiran mahasiswa dan memberikan solusi untuk pengawasan presensi yang lebih efektif. Hasil penelitian akurasi pengenalan wajah diatas 71%.
Review of Secondary Metabolites From Melandean Bark Extract (Bridellia Micrantha): Bioactive Potential and Applications in Health Bayani, Faizul; Muhali, Muhali; Yuliana, Devi; Hulyadi, Hulyadi; Gargazi, Gargazi
Hydrogen: Jurnal Kependidikan Kimia Vol. 12 No. 3 (2024): June-July 2024
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/hjkk.v12i3.11956

Abstract

Abstract The emergence of various diseases affecting the immune system, such as COVID-19 and Hand, Foot, and Mouth Disease, demands serious attention. Current climate changes occurring in almost all parts of the world can lead to the emergence of various viruses and bacteria that cause multiple diseases. Exploring medicinal plants that can enhance the immune system is crucial to be continued. This study aims to identify secondary metabolite compounds contained in Bridellia Micrantha plants using chemical reagents and gas chromatography-mass spectrometry (GC-MS) instruments. This research is an experimental laboratory study. The variable studied is the content of secondary metabolite compounds. Data were collected using chemical reagents and instruments. The obtained data are described in informative tables and graphs. Based on the identification results using instruments, positive results were found for organic compound groups such as flavonoids, alkaloids, and tannins. GC-MS test results showed that the organic compounds  contained in Bridellia Micrantha extract are 43.05% hexadecanoic acid, 21.46% oleic acid, 16% docos-13-enoic acid, 3.89% octadecanal, 1.85% propanediol, and 0.91% trans-phytol. Literature reviews indicate that the organic acids in Bridellia micrantha extract have clinical activities as antioxidants and anti-inflammatory agents, while organic compounds containing hydroxyl groups have clinical activities as anti-cancer agents. Based on these findings, Bridellia micrantha extract has the potential as a medicine that can enhance the body's immunity.  
Analisis Fungsi Bale Tani sebagai Modal Sosial untuk Eco-Resilience dan Ruang Komunal di Desa Ende Lombok Tengah Rabbani, Lalu Muhammad Nafi’; Baenarti, Nadira; Akhamdi, Lalu Muslihul A. Akhamdi; Yuliana, Devi; Zulkifli, Muhammad Irwan; Sumitro, Sumitro
Empiricism Journal Vol. 7 No. 3: September 2026
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/ej.v7i3.5691

Abstract

Penelitian ini bertujuan untuk menganalisis secara mendalam fungsi Bale Tani sebagai modal sosial dalam mendukung ketahanan ekologis (eco-resilience) dan sebagai ruang komunal bagi masyarakat Desa Adat Ende, Lombok Tengah. Penelitian ini menggunakan pendekatan kualitatif dengan metode etnografi. Data primer dikumpulkan melalui observasi partisipasi pasif serta wawancara tidak terstruktur dengan penghuni Bale Tani, pemandu wisata, dan masyarakat lokal yang aktif. Sementara itu, data sekunder diperoleh melalui studi dokumentasi berupa foto dan video kegiatan. Teknik analisis data menerapkan model interaktif Miles dan Huberman yang mencakup tahapan reduksi data, penyajian data dalam bentuk tabel, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa karakteristik arsitektural Bale Tani memanfaatkan material organik lokal seperti kayu, bambu, dan alang-alang yang adaptif terhadap aktivitas seismik serta memberikan efisiensi termal alami. Secara sosiologis, pembagian ruang interior terbagi secara rigid menjadi sesangkok sebagai ruang publik-komunal, dalam bale sebagai ruang privat untuk proteksi gender, dan pawon sebagai pusat logistik. Struktur spasial ini memfasilitasi interaksi sosial intensif yang mengonstruksi modal sosial berupa kepercayaan, norma etika andap asor, dan jaringan sosial. Modal sosial tersebut terinstitusionalisasi secara komunitarian melalui Kelompok Sadar Wisata (Pokdarwis) dalam siklus pembangunan desa wisata, penggalangan dana swadaya, dan distribusi peran ekonomi-kultural. Kesimpulannya, Bale Tani bertindak sebagai ruang komunal strategis yang menjaga kohesi sosiokultural sekaligus penopang ketahanan ekologis dalam menghadapi arus modernitas. Integrasi fungsi ini secara nyata mendukung ketercapaian target pembangunan berkelanjutan (SDGs) di tingkat lokal.   Analysis of the Function of Bale Tani as Social Capital for Eco-Resilience and Communal Space in Ende Village, Central Lombok Abstract This study aims to analyze in depth the function of Bale Tani as social capital in supporting ecological resilience (eco-resilience) and as a communal space for the people of Ende Traditional Village, Central Lombok. This study uses a qualitative approach with ethnographic methods. Primary data were collected through passive participant observation and unstructured interviews with Bale Tani residents, tour guides, and active local residents. Meanwhile, secondary data were obtained through documentation studies in the form of photos and videos of activities. The data analysis technique applies the interactive model of Miles and Huberman which includes the stages of data reduction, data presentation in tabular form, and drawing conclusions. The results show that the architectural characteristics of Bale Tani utilize local organic materials such as wood, bamboo, and alang-alang that are adaptive to seismic activity and provide natural thermal efficiency. Sociologically, the division of interior space is rigidly divided into sesangkok as a public-communal space, dalam bale as a private space for gender protection, and pawon as a logistics center. This spatial structure facilitates intensive social interactions that construct social capital in the form of trust, ethical norms andap asor, and social networks. This social capital is institutionalized in a communitarian manner through the Tourism Awareness Group (Pokdarwis) within the cycle of tourism village development, self-help fundraising, and the distribution of economic and cultural roles. In conclusion, Bale Tani acts as a strategic communal space that maintains socio-cultural cohesion while simultaneously supporting ecological resilience in the face of modernity. This functional integration significantly supports the achievement of sustainable development goals (SDGs) at the local level.
Co-Authors Abza, Adhamdi Tria Putra Akhamdi, Lalu Muslihul A. Akhamdi Arya Sukrawan, Gede Asih Miatun Ayuningtyas, Anastasia Riesa Ayuningtyas, Ar Baenarti, Nadira Bayani, Faizul Budi, DS Eko Prastya Putra, Ary Farida Yunita Ferdiansyah, MF Gargazi Gargazi Harian, Paenal Juni Hasibuan, Riska Ardilla Hulyadi, Hulyadi Hutagaol, RA Julius Santony M. Muhali M. Rasyid Muhammad Lutfi Mahasinul Akhlak Nabani, Taqiyudin Nanang Tri Wahyudi Purjumatin Purjumatin Purnomo, Nopi Qalbiy, Shafwatu Rabbani, Lalu Muhammad Nafi’ Sumijan Sumitro Sumitro Supriyadi Supriyadi Wahidah, Ananda Wardana, Bendra Winanto, Andri Zulkifli, Muhammad Irwan