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All Journal FIKkeS JURNAL SAINS PERTANIAN EQUATOR JOURNAL OF APPLIED INFORMATICS AND COMPUTING Pendas : Jurnah Ilmiah Pendidikan Dasar GERVASI: Jurnal Pengabdian kepada Masyarakat Translitera : Jurnal Kajian Komunikasi dan Studi Media DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) bit-Tech Budimas : Jurnal Pengabdian Masyarakat JURNAL ETIKA KEDOKTERAN INDONESIA Infotek : Jurnal Informatika dan Teknologi Jurnal Computer Science and Information Technology (CoSciTech) Kosala : Jurnal Ilmu Kesehatan Jurnal Teknik Informatika KOMMAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Natural: Jurnal Pelaksanaan Pengabdian Bergerak Bersama Masyarakat EDUMULYA: Jurnal Pendidikan Agama Islam
WIJI LESTARI
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Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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Penguatan Usaha Produk Jahe Instan Pada Kube Okesosgen Di Desa Pucung Rudi Susanto; Novemy Triyandari Nugroho; Wiji Lestari
GERVASI: Jurnal Pengabdian kepada Masyarakat Vol. 7 No. 1 (2023): GERVASI: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM IKIP PGRI Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31571/gervasi.v7i1.5172

Abstract

Tujuan pengabdian kepada masyarakat di KUBE OKESOSGEN adalah memberikan pelatihan dan pendampingan agar usaha jahe instan semakin kuat dan berkembang. KUBE OKESOSGEN terletak di Desa Pucung, Kecamatan Kismantoro, Kabupaten Wonogiri, sebuah wadah yang mempertemukan para pelaku usaha kreatif yang beranggotakan masyarakat dan kaum muda. Langkah-langkah pelaksanaan kegiatan pengabdian kepada masyarakat meliputi: (1) analisis masalah, (2) pelatihan, dan (3) pendampingan dan pemantauan. Permasalahan produk utama dalam KUBE OKESOSGEN meliputi 3 aspek yaitu produksi, manajemen dan pemasaran. Berdasarkan hasil evaluasi pre-test dan post-test, aspek pemasaran memiliki skor tertinggi sebesar 95,33%, diikuti oleh aspek manajemen sebesar 89,33%, dan tertinggi adalah aspek produksi, tepatnya mungkin sebesar 82%. Nilai tambah yang paling besar adalah aspek produksi 27,33%, diikuti aspek manajemen 17,33%, aspek pemasaran 16,66%. Hasil dari pengabdian masyarakat di KUBE OKESOSGEN ini adalah untuk meningkatkan keterampilan dan pengetahuan para mitra dalam aspek produksi, manajemen dan pemasaran.
PENGARUH KOMPOS LIMBAH TALAS TERHADAP PERTUMBUHAN DAN HASIL TANAMAN MELON PADA TANAH ALLUVIAL Wiji Lestari; Achmad Mulyadi Sirojul; Asnawati -
Jurnal Sains Pertanian Equator Vol 2, No 1: April 2013
Publisher : Fakultas Pertanian Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jspe.v2i1.2446

Abstract

Peningkatan produksi melon selain ditentukan oleh tehnik budidaya yang tepat juga ditentukan oleh faktor tanah. Pemanfaatan tanah alluvial sebagai lahan budidaya memiliki beberapa kelemahan pada sifat fisik, kimia dan biologi, sehingga perlu adanya usaha untuk memperbaiki kondisi tersebut, salah satunya ialah dengan penambahan bahan organik berupa kompos limbah talas.Penelitian ini bertujuan untuk mengetahui pengaruh dan mencari dosis kompos limbah talas yang terbaik untuk pertumbuhan dan hasil tanaman melon pada tanah aIluvial. Penelitian ini menggunakan Rancangan Acak Lengkap (RAL) yang terdiri dari 5 taraf perlakuan dan 4 ulangan. Setiap ulangan terdiri dari 4 sampel tanaman, sehingga jumlah seluruhnya ada 80 tanaman. Perlakuan yang dimaksud adalah sebagai berikut: Tanpa kompos limbah talas, 448 g/polybag kompos limbah talas, 1115 g/polybag kompos limbah talas, 1781 g/polybag kompos limbah talas, dan 2448 g/polybag kompos limbah talas. Variabel yang diamati adalah: Berat kering bagian atas tanaman (gram), volume akar (cm3), diameter buah (cm), berat buah (gram), ketebalan daging buah (cm) dan kadar gula buah (%). Berdasarkan hasil penelitian, pemberian kompos limbah talas sebanyak 2448 g/polybag, memberikan rerata tertinggi pada variabel pengamatan volume akar (13,5 cm), berat kering bagian atas tanaman (19,41 g), berat buah (972,23 g), dan diameter buah (11,95 cm), akan tetapi berbeda tidak nyata terhadap pemberian kompos limbah talas sebanyak 1781 g/polybag pada variabel berat buah dan diameter buah, dengan demikian dari hasil penelitian ini dapat katakan bahwa efesiensi pemberian kompos limbah talas terhadap pertumbuhan dan hasil tanaman melon pada tanah alluvial ialah sebanyak 1781 g/polybag kompos limbah talas. Kata Kunci : Kompos Limbah Talas, Melon, Tanah Alluvial
Edukasi Perawat Kepada Pasien dan Keluarga Dalam Pencegahan Infeksi Pada Pasien Post Operasi di RSUD Dr. Soehadi Prijonegoro Syerlita Eka Rahmawati; Tyas Dwi Rahayu; Zahra Diah Ayu Permatasari; Irma Mustika Sari; Wiji Lestari
Natural: Jurnal Pelaksanaan Pengabdian Bergerak bersama Masyarakat. Vol. 2 No. 4 (2024): November : Natural: Jurnal Pelaksanaan Pengabdian Bergerak bersama Masyarakat
Publisher : Asosiasi Riset Ilmu Kesehatan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/natural.v2i4.875

Abstract

Post-operative is a condition after surgery and medical treatment to treat or repair damaged tissue or organs starting when the client is moved to the operating room and ending in the recovery room. Surgery is a medical procedure that uses invasive techniques by opening or displaying body tissue that will be treated through incisions and ending with wound suturing. This health education aims to improve the knowledge and skills of patients and families regarding the prevention of post-operative infections. This health education was conducted on Saturday, October 19, 2024 at 10:30 in the Teratai room using a material delivery method using leaflet media, demonstrating how to wash hands properly and wound care, and evaluating the results of the pre and post tests during the health education activities. After the health education activities were carried out, the results showed that the enthusiasm of the participants when participating in the health education activities was very high, seen from the material presentation session, the participants were seen paying attention to the material presented. During the activity, participants were active in asking questions and were able to answer questions and wanted to know more about the material that had been presented. The ability of participants in answering pretest and posttest questions also showed an increase because the audience when working on the pretest questions, an average of did not know the material to be presented with a total of 13 questions. Then, when working on the posttest questions, an average of had increased knowledge after the presentation of the material presented with the same number of questions. Early symptoms that appear when an infection occurs in a postoperative wound are open wounds/open stitches and there are signs of infection: Redness, Swelling, Pain, Decreased function of the infected organ, Pus, Fever. SSI is an infection that occurs in the wound area after surgery, surgical wound infections are divided into, internal, and organs. SSI is caused by various factors, namely the patient himself, health workers, the surgical process, the environment and surgical equipment. The correct hand washing process according to WHO includes wetting the hands, applying soap or hand sanitizer, rubbing the entire surface of the hands for at least 20 seconds, rinsing with water (if using soap), and drying the hands. 6-step hand washing is an effective hand washing method to remove germs, viruses, and bacteria from the hands. This step is designed to ensure that every part of the hand is properly cleaned.
Pengembangan Sistem Penerjemah Kalimat Bahasa Isyarat Bisindo To Text Dengan Kinect Real Time Aldin Fathiray; Joni Maulindar; Wiji Lestari
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 1 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i1.26116

Abstract

People with hearing and speech impairments often have difficulty communicating with the general public due to a lack of understanding of sign language. This results in social isolation and barriers to accessing information and education. The development of sign language translator technology is expected to improve communication and independence of people with disabilities. The methodology used in this research includes data collection through literature studies, questionnaires, and documentation. The BISINDO data processing algorithm in this research uses the Long short-term memory (LSTM) method to detect skeletons on the hands, face and body. The system implementation uses kinect to capture real-time hand movements. System development uses the Agile method to ensure functionality and fulfillment of user needs. From the evaluation results by testing system performance using confusion matrix by calculating accuracy, recall, precision and F1-Score values. As well as datasets taken in realtime with a total of 90 data, each consisting of 30 actions of my sign language, 30 actions of good sign language, 30 actions of iloveyou sign language. The results show that the system has an accuracy value of 1.0, recall 1.0, precision 1.0 and F-1 Score 1.0 with LSTM algortima, epoch 140 and response data that shows positive towards the system
Penerapan Algoritma Decision Tree Untuk Menentukan Terapi Pada Anak Autis Mahendra, Satria Yudha; Wiji Lestari; Intan Oktaviani
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 1 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i1.26121

Abstract

People with hearing and speech impairments often have difficulty communicating with the general public due to a This research focuses on the development of a classification system for autism levels in children using the Decision Tree algorithm. This system considers various aspects of the psychomotor abilities of autistic children, such as balance, hand coordination, flexibility, and muscle strength. Observation data was taken from autistic children aged 5-8 years who attended SLB Anugerah Colomadu, and was used to build a Decision Tree model. The results showed that this model had 0,9 accuracy in classifying autism rates based on the observed psychomotor features. In addition to classification, the system also provides recommendations for psychomotor therapy that are specific and according to the level of autism that the model has classified. This approach is expected to improve the quality of interventions for autistic children by facilitating the development of their psychomotor skills. With this system, it is hoped that educators and therapists can provide more targeted treatment, so that autistic children can develop more optimally according to their individual needs. This structured and data-based approach is also expected to be a reference in the development of other intervention methods in the future
Implementasi Sistem E-Recruitment Karyawan Dengan Memanfaatkan Teknologi Informasi Menggunakan Metode Waterfall Dita Mahameru Hidayati Mubayinna; Wiji Lestari; Pramono
JEKIN - Jurnal Teknik Informatika Vol. 4 No. 3 (2024)
Publisher : Yayasan Rahmatan Fidunya Wal Akhirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58794/jekin.v4i3.736

Abstract

Perusahaan ini merupakan perusahaan tekstil. Setiap tahunnya, ada perekrutan karyawan untuk memenuhi jumlah karyawan di setiap divisi. Akan tetapi, proses perekrutan di perusahaan ini masih tergolong manual, yaitu calon karyawan harus datang ke perusahaan untuk menyerahkan berkas lamaran berbentuk fisik atau kertas. Kemudian bagian recruitment menyeleksi berkas lamaran satu persatu secara manual sehingga memerlukan waktu yang cukup lama. Proses ini dapat mengakibatkan beberapa kendala, seperti waktu yang kurang efisien, berkas lamaran hilang, bahkan terjadi kerusakan yang cenderung tinggi. Oleh karena itu, diperlukannya software E-Recruitment berbasis website. Menggunakan sistem informasi berbasis website dengan memanfaatkan teknologi informasi di perusahaan yang dapat memudahkan recruitment karyawan baru serta meminimalisir terjadinya kendala selama proses berlangsung. Sistem E-Recruitment ini menggunakan metode waterfall untuk pengembangan sistem.  
Transformasi Digital Liana Grosir Boyolali dengan Aplikasi Mobile E-Commerce Muhammad, Ma'ruf Nur; Wiji Lestari; Pramono
JEKIN - Jurnal Teknik Informatika Vol. 4 No. 3 (2024)
Publisher : Yayasan Rahmatan Fidunya Wal Akhirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58794/jekin.v4i3.823

Abstract

Kemajuan teknologi mobile yang cepat telah memengaruhi perilaku konsumen dalam melakukan transaksi pembelian. Penelitian ini bertujuan untuk mengembangkan aplikasi e-commerce berbasis mobile bagi Liana Grosir Boyolali untuk menyesuaikan preferensi konsumen yang berubah dan meningkatkan efisiensi operasional. Menggunakan metodologi Rapid Application Development (RAD), penelitian ini meliputi analisis kebutuhan, desain antarmuka pengguna dengan Unified Modeling Language (UML), implementasi menggunakan framework Flutter, dan pengujian Black Box Testing yang komprehensif. Aplikasi ini menyediakan fitur pendaftaran akun, pencarian produk, manajemen alamat, pengelolaan keranjang, dan proses checkout yang aman. Implementasi platform e-commerce ini diharapkan dapat meningkatkan pengalaman belanja pelanggan dan efisiensi manajemen internal di Liana Grosir Boyolali. Hasil pengujian menunjukkan bahwa semua fungsi beroperasi dengan baik, menawarkan antarmuka yang ramah pengguna yang memudahkan transaksi online dan meningkatkan alur kerja operasional toko. Pengembangan ini menegaskan potensi aplikasi mobile dalam meningkatkan operasi ritel untuk memenuhi tuntutan konsumen modern.
Pengembangan Qr Code Inventaris Dengan Metode Waterfall Pada Lsp Asnakes Indonesia Yuliyanto, Rico Dwi; Sri Sumarlinda; Wiji Lestari
JEKIN - Jurnal Teknik Informatika Vol. 4 No. 3 (2024)
Publisher : Yayasan Rahmatan Fidunya Wal Akhirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58794/jekin.v4i3.884

Abstract

LSP Asnakes Indonesia merupakan salah satu lembaga sertifikasi profesi Sehingga aset-aset yang ada merupakan milik sendiri. Dalam operasionalnya, LSP Asnakes Indonesia mengalami beberapa kendala yang dihadapi. Masalah tersebut yaitu pengelolaan data menggunakan excel, proses peminjaman berupa penyimpanan fisik pada buku, Proses pencarian data yang cukup lama. Pengembangan sistem informasi inventaris pada LSP Asnakes Indonesia ini bertujuan untuk membuat pengembangan sistem yang dapat mengatasi permasalahan tersebut, dengan beberapa fitur yang dibutuhkan yaitu kelola data peminjam, kelola data barang, permintaan peminjaman dan pengembalian, laporan peminjaman, integrasi data antar pengguna secara real time.  Pengembangan sistem menggunakan metode waterfall dan analisa kelemahan sistem menggunakan metode PIECES. Metode perancangan menggunakan UML (Unifield Modeling Language) dengan use case diagram, activity diagram dan class diagram. Pengembangan sistem ini akan dapat membantu dalam pengelolaan inventaris pada LSP Asnakes Indonesia.
Visual Segmentation and Classification of Coffee Beans After Roasting Firdaus Alamanda; Rudy Susanto; Wiji Lestari
Journal of Applied Informatics and Computing Vol. 9 No. 4 (2025): August 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i4.9758

Abstract

This research aims to develop an image-based system for segmenting and classifying coffee beans after roasting using deep learning. A U-Net architecture was applied to isolate coffee beans from the background with high spatial accuracy, achieving a mean Intersection over Union (IoU) of 0.8833 and Dice Coefficient of 0.9375. The segmented images were then classified into six roasting levels green, light, light to medium, medium, medium to dark, and dark using a modified ResNet-50 model, which reached an overall classification accuracy of 86%. The system demonstrates strong performance for clear categories but shows overlapping predictions for visually similar classes such as “medium” and its neighboring levels, indicating that boundaries between roasting stages can be ambiguous. This study provides an objective and automated alternative for roast quality inspection, reducing reliance on subjective human assessment. However, to meet industrial standards, further improvements are needed, such as integrating additional image features or ensemble models to increase discrimination power. This two-stage system serves as a promising foundation for future developments in automated coffee quality control.
Model Prediksi Penyakit Ginjal Menggunakan Algoritma Neural Network Khoirul Mustofa; Linda Widyaningrum; Wiji Lestari; Tri Yusnanto
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 5 No. 2 (2025): Juli : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v5i2.1219

Abstract

Neural networks are the focal point of machine learning research. Their applications span across various fields and solve complex and intricate problems. Neural networks have now been applied in health image processing to detect various diseases such as cancer and diabetes. Another disease that threatens our health is kidney disease. This disease is becoming more common due to the substances and elements we consume. Death is imminent and inevitable within a few days without at least one functioning kidney. Ignoring kidney damage can lead to chronic kidney disease leading to death. Often, Kidney Disease and its symptoms are mild and gradual, often going unnoticed for years and only being realized recently. This study used 400 patients with 10 attributes as our dataset from Bade General Hospital. We used a Neural network model to predict the presence or absence of kidney disease susceptibility in patients. The model yielded an accuracy of 98%. Furthermore, we identified and highlighted the important features to rank the features used in kidney disease prediction. The results revealed that two attributes; Creatinine and Bicarbonate had the highest influence on kidney disease susceptibility prediction.
Co-Authors Achmad Mulyadi Sirojul Afrizal Agus Purwadianto Agustina Srirahayu Ahmad Sulthoni Aldin Fathiray Anam Miftakhul Huda Asnawati - Basiroh Basiroh Dinar Ariasti Dita Mahameru Hidayati Mubayinna Firdaus Alamanda Gabriella Lonardy Galih Adi Nugraha Hasanah, Herliyani Intan Oktaviani Irma Mustika Sari Kerwanto Khoirul Mustofa Linda Widyaningrum Mahendra, Satria Yudha Maulindar, Joni Muhammad, Ma'ruf Nur Novemy Novemy Triyandari Nugroho Pramono Rudi Susanto Rudy Susanto SRI SUMARLINDA Syawaluddin Syerlita Eka Rahmawati Tri Yusnanto Tyas Dwi Rahayu Umi Fitri Lestari Yuliyanto, Rico Dwi Zahra Diah Ayu Permatasari