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Jurusan Teknologi Hasil Pertanian Fakultas Teknologi Pertanian Universitas Brawijaya
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The Role of Green Productx and Environmental Knowledge in Supporting a Healthy Lifestyle of Gen. Z Yunita, Irma; Handayani, E. Egriana; Rusdianah, Iim
Jurnal Minds: Manajemen Ide dan Inspirasi Vol 11 No 2 (2024): December
Publisher : Management Department, Universitas Islam Negeri Alauddin Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/minds.v11i2.50977

Abstract

Consumer behavior, fundamental in the Interest of buying green products, should be based on the understanding of a healthy lifestyle, yet deficit on practice. This quantitative study investigates the elusive influence of green products, environmental knowledge, and healthy lifestyle on purchasing interests and to what extent the implications of physical activity moderate it. This research collected responses from 350 Gen. Z for the measurement analysis in the PLS-SEM. The findings indicate that green products, health awareness, environmental knowledge, and a healthy lifestyle are related to Interest in buying green products. The moderating role of physical activity only supports environmental knowledge. Thus, a healthy lifestyle implies the critical need for continuous socialization of green products and, consequently, public health.
RANCANG BANGUN APLIKASI SIDUMA (SISTEM INFORMASI PENGADUAN MAHASISWA) DI UNIVERSITAS BANTEN JAYA Hendra, Yul; Yunita, Irma; Rifai, Achmad; Usman, Andi Usri; Juniansha, Dedi
Jurnal Sistem Informasi dan Informatika (Simika) Vol 8 No 1 (2025): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v8i1.3749

Abstract

In today’s highly competitive educational landscape, universities must focus on enhancing the quality of services they provide to their students. To effectively understand the needs and desires of students, institutions must actively seek their feedback. However, a common challenge faced at Banten Jaya University is that students often hesitate to share their input regarding service processes. This reluctance stems from the absence of a systematic platform for lodging complaints or feedback.To address this issue. necessity of developing a robust system that can efficiently gather and present student complaints and suggestions. The goal is to deliver quick and accurate reporting that can be utilized by the campus management for evaluation and improvement purposes. The research employs the Agile Method for system development, complemented by data collection techniques such as interviews and direct observations.With the introduction of the Student Complaint System, known as SIDUMA, it is anticipated that all student complaints and reports will be systematically captured. The insights derived from these submissions will enable Banten Jaya University to conduct ongoing evaluations, ultimately striving for excellence in service quality.
PENERAPAN DATA MINING DALAM MENGELOMPOKKAN JUMLAH PENYELAMATAN KEBAKARAN DI KABUPATEN SITUBONDO Yunita, Irma; Homaidi, Ahmad; Lutfi, Ahmad
E-Link: Jurnal Teknik Elektro dan Informatika Vol 19 No 2: Oktober 2024
Publisher : Universitas Muhammadiyah Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30587/e-link.v19i2.8153

Abstract

Penyelamatan kebakaran merupakan salah satu pelayanan yang menjadi tanggung jawab pada Satuan Polisi Pamong Praja Kabupaten Situbondo. Letak geografis serta panjangnya musim kemarau merupakan salah satu penyebab tingginya tingkat bencana kebakaran di Kabupaten Situbondo. Selain itu beberapa penyebab lain yang menyebabkan bencana kebakaran yaitu gas meledak, konsletin listrik, pembakaran sampah dan lain-lain, akibat yang ditimbulkan dari bencana kebakaran bisa berupa korban jiwa, kerugian materi, serta dampak asap bisa membuat orang di sekitar lokasi kebakaran menderita infeksi pernapasan. Dalam mengelompokkan jumlah penyelamatan kebakaran dengan memakai cara yaitu data mining menggunakan sebuah metode yaitu K-Means Clustering. Kelompok data yang akan digunakan yaitu data dari penyelamatan kebakaran pada seksi pemadam kebakaran dan penyelamatan di Satuan Polisi Pamong Praja Kabupaten Situbondo. Hasil penelitian ini yaitu cluster jumlah penyelamatan kebakaran menjadi 3 cluster. Terdapat 2 kecamatan yang masuk dalam cluster tinggi yaitu : panarukan dan situbondo. Tingkat sedang 2 kecamatan yaitu:Mangaran dan Panji, dan tingkat cluster rendah adalah beberapa kecamatan lainnya di Kabupaten Situbondo.
Bahasa Inggris: Bahasa Inggris Permatasari, Novelia Kiki; Sutihat, Eva; Yunita, Irma; Yuliana, Ade
Jurnal Minds: Manajemen Ide dan Inspirasi Vol 12 No 1 (2025): June
Publisher : Management Department, Universitas Islam Negeri Alauddin Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/minds.v12i1.51521

Abstract

This study investigates the impact of halal branding, brand image, and brand trust on purchasing decisions among Micro and Small Enterprises (MSEs). It contributes to academic discourse by examining how gender equality interacts with brand-related variables within the framework of the Sustainable Development Goals (SDGs)—a perspective rarely addressed in existing literature. Using data from 400 MSE actors selected through cluster sampling and analyzed via PLS-SEM, the study finds that halal branding, brand image, and brand trust each exert a positive and significant influence on consumer decisions. Interestingly, gender equality does not reinforce these relationships but instead appears to weaken them, suggesting that consumer responses may be shaped by deeper cultural and social currents. The findings encourage business actors to view halal branding and trust-building not merely as technical strategies but as part of a broader engagement with community values—requiring locally grounded approaches to gender inclusion and improved relationships.
The Influence of Live Shopping and Word of Mouth Promotions on Purchasing Decisions which are Moderate by Price on Tiktok Shop Users (Case Study of The Originote Skincare Products in Pandeglang Regency) Relin, Relin; Yunita, Irma; Permatasari, Novelia Kiki
International Conference on Business Management and Accounting Vol 3 No 2 (2025): Proceeding of International Conference on Business Management and Accounting (May
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/icobima.v3i2.5101

Abstract

This study aims to analyze the effect of Live Shopping on purchasing decisions with price as a moderating variable, on skincare products the Originote in pandeglang district on purchasing tiktok Shop. Using quantitative methods with an associative approach, this study involved 140 respondents who were taken evenly from 35 sub-districts in Pandeglang Regency, with 4 samples from each sub-district. Data was collected through questionnaires and analyzed using the Partial Least Squares (PLS) method. The results showed that Live Shopping has a positive and significant effect on purchasing decisions, while Word of Mouth promotion has a positive but insignificant effect on purchasing decisions. In addition, price is proven to moderate negatively / weaken and positively / strengthen between Live Shopping and word of mouth promotion on purchasing decisions. these findings provide important information for digital marketing strategies, especially in the context of e-commerce and the use of social media platforms to increase sales.
Pelatihan Pengolahan Limbah Biji Durian Menjadi Produk Makanan Yang Memiliki Nilai Jual Di Desa Pala Gajah Kec. Bukit Kemuning, Kab. Lampung Utara Gunawan, Aan; Rahmawati, Lisa; Yunita, Irma; Saputri, Indah Dwi; Verina, Kiki
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 2 (2025): Jurnal Pengabdian kepada Masyarakat Nusantara Edisi April - Juni
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v6i2.5723

Abstract

Setiap musim, produksi durian yang melimpah menghasilkan limbah organik dalam jumlah besar, salah satunya biji durian yang sering kali dibuang tanpa dimanfaatkan lebih lanjut. Padahal, jika diolah dengan baik biji durian bisa di jadikan olahan makanan bahkan biji durian juga memiliki kandungan gizi yang cukup tinggi dan bermanfaat bagi kesehatan tubuh. Kegiatan PKM ini bertujuan untuk memberikan pelatihan kepada masyarakat Desa Pala Gajah, Kecamatan Bukit Kemuning, Kabupaten Lampung Utara, Provinsi Lampung, agar mereka dapat memanfaatkan limbah biji durian untuk diolah menjadi produk bernilai jual, yaitu donat biji durian. Sasaran dari kegiatan ini adalah masyarakat Desa Pala Gajah, yang dilaksanakan melalui tiga  tahapan :  penyuluhan, pelatihan,  dan  evaluasi Hasil  pelatihan menunjukkan bahwa peserta mengalami peningkatan pengetahuan dan keterampilan dalam mengolah biji durian menjadi donat. Donat yang dihasilkan mendapat respon positif dari peserta, dengan tekstur yang lembut dan rasa yang enak. Selain mengurangi limbah biji durian, kegiatan ini juga membuka peluang usaha baru, terutama bagi remaja dan ibu rumah tangga di desa tersebut. Secara keseluruhan kegiatan ini memberikan dampak positif dengan meningkatkan pengetahuan dan keterampilan masyarakat Desa Pala Gajah dalam mengolah biji durian menjadi produk makanan yang bernilai ekonomis..
The Influence of Response Speed and Information Quality on the Effectiveness of SME Sales Through Facebook Ramadhani, Indah; Dailami, D.; Widiya, Ulva; Yunita, Irma; Nurhuda, Ridha; Mutia, M.
Golden Ratio of Mapping Idea and Literature Format Vol. 6 No. 1 (2026): July - January
Publisher : Manunggal Halim Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52970/grmilf.v6i1.1377

Abstract

This study aims to study the effect of response speed and quality of information provided in the customer service system via Facebook on the effectiveness of Mama Donuts' SME sales. Data were collected through surveys and analysis using statistical methods to test the effect of each variable both partially and simultaneously. From the analysis conducted, it was found that both response speed and information quality have a positive and significant impact on sales effectiveness. Partially, it was found that with a faster response time, better information to help answer questions significantly increased sales effectiveness with a significant value (sig) of less than 0.05. Simultaneously, both variables have a strong influence with a correlation coefficient value of 0.906 and an R2 of 81.6%. This means that these variables can explain most of the variability in the effectiveness of Mama Donuts' SME sales. These results strengthen the argument that faster responses and better information quality positively impact Facebook sales effectiveness, thus providing a sales performance strategy for SMEs.
Mental Health Diagnosis (Chronic Fatigue Syndrome and Depression) using Decision Tree Algorithm Zubairi, Ach.; Homaidi, Ahmad; Yunita, Irma; Prasetyo, Jarot Dwi; Hermanto, Hermanto
G-Tech: Jurnal Teknologi Terapan Vol 9 No 3 (2025): G-Tech, Vol. 9 No. 3 July 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i3.7595

Abstract

Mental health is an important aspect that affects an individual's life, impacting productivity, social relationships and overall quality of life. The World Health Organization (WHO) states that one in four people worldwide will face mental health challenges. With the increasing incidence of conditions such as depression and Chronic Fatigue Syndrome (CFS), effective detection and intervention methods are urgently needed. Data mining, specifically using Decision Tree algorithms, presents a promising approach to address this challenge. This study utilizes a quantitative methodology to classify depression and CFS patients using a public dataset. The data collection from Kaggle included variables such as demographics and clinical evaluations, consisting of 1,000 records and 15 predictive attributes. Data preprocessing addressed noise, specifically missing values, to ensure model accuracy above 80%. A Decision Tree was implemented, displaying the interpretability of the method by partitioning the data based on the selected attributes. Evaluation metrics such as accuracy, precision, recall, and F1 score showed accuracy of 99% and precision and recall of 100%. The results emphasize the potential of the Decision Tree in distinguishing between depression and CFS, enabling early intervention through accurate patient identification. This study advocates the integration of such machine learning models into clinical practice to improve mental health diagnostics and management, by addressing an important aspect of public health.
Sistem Informasi Peminjaman Dan Pengembalian Buku Pada Perpustakaan Smp Negeri 1 Raas HOMAIDA, NUR; Lidinillah, Lukman Faqih; Yunita, Irma
Prosiding Seminar Nasional Inovasi dan Adopsi Teknologi (INOTEK) Vol. 5 No. 1 (2025): Prosiding Seminar Nasional Inovasi dan Adopsi Teknologi (INOTEK)
Publisher : LPPM STMIK Rosma

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

Abstract

Perpustakaan sekolah memiliki peran penting sebagai pusat informasi yang mendukung proses belajar mengajar. Dalam era digital, pemanfaatan teknologi informasi sangat diperlukan untuk meningkatkan kualitas layanan perpustakaan, khususnya dalam pengelolaan koleksi dan pencatatan data. SMP Negeri 1 Raas masih menerapkan sistem manual dalam proses peminjaman dan pengembalian buku, yang menyebabkan berbagai kendala, seperti risiko kehilangan dan kerusakan buku, kesulitan dalam pencatatan dan pelacakan data, serta tidak tersedianya laporan bagi pihak sekolah. Penelitian ini bertujuan untuk merancang dan membangun Sistem Informasi Peminjaman dan Pengembalian Buku berbasis digital pada Perpustakaan SMP Negeri 1 Raas. Sistem ini dirancang untuk mendukung proses pencatatan, pengolahan, dan pelaporan data secara lebih efisien dan terstruktur. Diharapkan sistem ini dapat meningkatkan efektivitas pengelolaan perpustakaan serta menunjang kelancaran layanan informasi di lingkungan sekolah.
SISTEM PENDUKUNG SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN SISWA BARU MENGGUNAKAN METODE PROFILE MATCHING PADA SD AL IRSYAD AL ISLAMIYYAH SITUBONDO widad, ruqoyyatulwidad; Fajriyanto, Fajriyanto; Yunita, Irma
Prosiding Seminar Nasional Inovasi dan Adopsi Teknologi (INOTEK) Vol. 5 No. 1 (2025): Prosiding Seminar Nasional Inovasi dan Adopsi Teknologi (INOTEK)
Publisher : LPPM STMIK Rosma

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

Abstract

Perkembangan teknologi informasi yang pesat menuntut setiap sektor, termasuk pendidikan, untuk memanfaatkan teknologi sebagai penunjang kegiatan operasional. Salah satu tantangan yang dihadapi lembaga pendidikan seperti SD Al Irsyad Al Islamiyyah Situbondo adalah proses seleksi penerimaan siswa baru yang masih dilakukan secara manual. Proses ini memerlukan waktu lama, rentan terhadap subjektivitas, dan kurang efisien dalam menyaring siswa sesuai kriteria sekolah. Oleh karena itu, penelitian ini bertujuan untuk merancang dan mengembangkan Sistem Pendukung Keputusan (SPK) penerimaan siswa baru menggunakan metode Profile Matching. Metode ini dipilih karena mampu membandingkan profil ideal dengan profil kandidat secara terstruktur, berdasarkan kesenjangan nilai (gap) dari sejumlah kriteria yang telah ditentukan. Penelitian ini menggunakan metode pengembangan perangkat lunak Waterfall, yang terdiri dari tahap analisis kebutuhan, desain sistem, implementasi, pengujian, hingga pemeliharaan. Data dikumpulkan melalui observasi, wawancara, dan dokumentasi di lingkungan sekolah. Sistem yang dirancang menggunakan perangkat lunak seperti XAMPP, PHP, dan MySQL untuk membangun aplikasi berbasis web. Hasil dari penelitian ini diharapkan dapat membantu pihak sekolah dalam mengambil keputusan penerimaan siswa secara objektif, akurat, dan transparan. Selain itu, sistem ini juga mampu meningkatkan efisiensi waktu dan mengurangi kesalahan manusia dalam proses seleksi. Dengan adanya sistem ini, diharapkan SD Al Irsyad Al Islamiyyah Situbondo dapat menyaring siswa yang tidak hanya unggul secara akademik, tetapi juga sesuai dengan visi dan misi lembaga, sehingga tercipta lingkungan belajar yang lebih berkualitas.
Co-Authors Abdul Rahman ABDUS SAMAD Ach. Zubairi ACHMAD RIFAI Ade Chandra Ade Yuliana, Ade Adibah, Fanny Afandi, Muhammad Dzikry Afifah, Fatma Nur Afini, Dewi Ahmad Homaidi AHMAD LUTFI Akbar, Mohammad Ghiyats Sayyid Alawiyah, Siti Alida, Ravi Anhari Achadi Antonius, Rudy Apriliyani, Femi Azwar Anas Dailami, D. Darul Ilmi Devi, Ulma Dwi Yuniar Ramadhani E. Egriana Handayani Edi Mulyadi Efendi, Ahmad Fadil Dwi Elmira, Via Eva Sutihat Fahri, Alvin Fajri, Ahmad Maulana Fajriyanto Fajriyanto Fatah, Zaehol Fikrianda, Rifki Fikriyani, Devi Nurul Gunawan, Aan Halilatul Muallafa Harsiti Harsiti, Harsiti Hasani, Nurul Hermanto Hermanto herpratiwi Homaida, Nur Ikmal, Muhammad Jannah, Nadyya Zahratul Junaidi Junaidi Juniansha, Dedi KIKI FIBRIANTO Komalasari, Siti Kusumo, Rangga Lidimilah, Lukman Fakih Lidinillah, Lukman Faqih Lisa Rahmawati Lutfi, Zainul Mahundingan, Rosari Oktaviana Maman Saputra, Maman Marsita, Yuni Muhamad Sofian Hadi Muhammad Fahri, Muhammad Mulyana, Emul Mutia, M. Nabila, Intan Okta Nida Jarmita Nooraeni, Endah Novelia Kiki Permatasari Nur Indahsari, Luluk Nurhasanah, Yeni Nurhuda, Ridha Nurlela Nurlela Nurmi Pande Made Kutanegara Prasetyo, Jarot Dwi Purbawati Naprilia, Tania Putri Rahmi Qori'ah, Arafah Amaliyah Rahayu Wulaning Rahmat Mulyana Dali Ramadhani, Indah Relin, Relin Rini, Nurlita Arinda Risvy, Berliani Ananda Rusdi, Farhannuddin Rusdianah, Iim Safitri, Lulu Saleh, Taufik Saputri, Indah Dwi Sari, Nurlinda Sari, Suci Prihatini Noer mala Sinta, Sinta Masruroh Siregar, Jamaluddin Sobri, Miftahus Subiyantoro, Hari Sudarma Dita Wijayanti Suhairi Suhairi Suhendi, Dadi Sulistianah Sundarta, Muhamad Imam Susilawati, Susilawati Syafrizal, Muhammad Syiarudin, Asep Taufik Hidayat Triwoelandari, Retno Triyadi, Riyan Usman Usman, Andi Usri Verina, Kiki widad, ruqoyyatulwidad Widiya, Ulva yul Hendra Zainarti Zainarti Zubairi, Ach. Zulfah, Maria