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All Journal Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat Briliant: Jurnal Riset dan Konseptual Journal of Development Research Jurnal Pendidikan : Riset dan Konseptual Jiko (Jurnal Informatika dan komputer) Jurnal Ilmiah Fillia Cendekia Musamus Journal of Livestock Science JSAI (Journal Scientific and Applied Informatics) International Journal of Animal Science Wahana Peternakan Sinar Sang Surya: Jurnal Pusat Pengabdian kepada Masyarakat Jurnal Pengabdian dan Pemberdayaan Nusantara (JPPNu) GANESHA: Jurnal Pengabdian Masyarakat Journal of Science Nusantara SINDA: Comprehensive Journal of Islamic Social Studies Jurnal Pengabdian Masyarakat Bangsa El Midad: Jurnal Jurusan PGMI Maslahat
Lestariningsih Lestariningsih
Dosen Pembimbing, Prodi Peternakan, Fakultas Ilmu Eksakta, Universitas Nahdlatul Ulama Blitar, Blitar
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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OPTIMALISASI PENINGKATAN TINGKAT PENGETAHUAN PETERNAK ITIK DENGAN MENGEMBANGKAN SMART GRADING BERBASIS IOT DAN EDUKASI BUDIDAYA ITIK Fatra Nonggala Putra; Lestariningsih Lestariningsih; Vion Age Tricahyo
Jurnal Abdimas UNU Blitar Vol 5 No 2 (2023): Volume 5 Nomor 2 : Desember 2023
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jppnu.v5i2.266

Abstract

Urgensi dari judul PKM yang didampingi yakni perlunya smart grading berbasis IoT untuk memudahkan grading pada itik pedaging sebagai salah satu sarana seleksi itik pedaging selama masa hidupnya sebelum dipanen. Selama ini sistem grading masih dilakukan dengan manual menimbang satu – satu dan hal tersebut dirasa kurang efisien. Dampak yang sering terjadi adalah terdapat kesalahan pencatatan dan hal tersebut berdampak terhadap konsumsi pakan dan bobot badan itik serta biaya operasional. Disamping itu, UD Makmur sering sekali dikunjungan berbagai kalangan baik dari akademisi dan siswa sekolah sebagai tempat belajar praktikum dan outing pada budidaya itik pedaging. Pengunjung yang ingin belajar perlu diberikan informasi terlebih dahulu agar ketika mereka belajar dapat lebih mudah menerima praktik yang disampaikan. Selama ini mitra masih menjelaskan kepada pengunjung tanpa menggunakan media sehingga pengunjungan banyak yang masih kebingungan. Hal tersebut dapat dibantu dengan adanya media Augmented Reality (AR) budidaya itik pedaging. Tujuan PKM yaitu untuk meningkatkan pengetahuan mitra dalam menggunakan smart grading itik pedaging berbasis IoT dan edukasi budidaya itik menggunakan AR yang meliputi peningkatan tingkat pengetauan mitra. Hingga mencapai laporan akhir 100% ini dicapai hasil jika setelah diadakan kegiatan penyuluhan, penyuluhan dan pendampingan didapatkan tingkat peningkatan pengetahuan mitra mencapai 70%,
Economic Feasibility Analysis of Cattle Fattening Business Case Study at Lembu Handhini Farm in Blitar Regency, East Java Province, Indonesia M. Rizal Fanani; Nining Haryuni; Lestariningsih Lestariningsih
Journal of Development Research Vol. 7 No. 2 (2023): Volume 7, Number 2, November 2023
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jdr.v7i2.208

Abstract

The purpose of this study was to determine the feasibility level of beef cattle business at Lembu Handini Farm, which is located in Sumber Village, Sanan Kulon District, Blitar Regency, East Java. This research is a case study with a descriptive quantitative approach. The data collected during the next study were analyzed quantitatively and then described. The material used in this research is primary data and secondary data. Primary data was obtained through interviews and direct observation at Lembu Handini Farm. Secondary data is obtained from research reports or from relevant agencies related to the theme of this research. The results obtained in this study are the profits obtained per month by raising 6 beef cattle of Rp. 9,124,250 with an R/C value of 1.04. Based on the analysis, it can be concluded that the beef cattle fattening business at Lembu Handini Farm is still feasible in terms of business sustainability.
Analysis of 2024 General Election Digitalization System as An Effort to Improve The Quality of Democracy in Indonesia Dimyati Huda; Agus Edi Winarto; Lestariningsih Lestariningsih
Journal of Development Research Vol. 7 No. 2 (2023): Volume 7, Number 2, November 2023
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jdr.v7i2.313

Abstract

In carrying out the stages of holding the 2024 General Election, KPU uses digital application systems. The purpose of this research is to describe and analyze the strengths and weaknesses of implementing the digital application systems. Researchers studied primary data of general election laws and KPU regulations, and secondary data of some books and relevant electoral journal articles. They also explored empirical data from the Commissioners of KPU of Kediri Regency. In analyzing the data, researchers used Miles and Hubberman's theory. The results of this study show that the eight digital application systems used by KPU, namely: Sipol, Sidalih, Silon, Sidapil, Sidakam, Sirekap, Silog, and Siakba make a very large contribution to every stage of the 2024 General Election so that they become more effective, efficient, transparent, accurate, and up to date. Common weaknesses occur when data transmission is carried out simultaneously at one time, it has possibility problem for data traffic because the size of the server may not sufficient; second, the internet network is not evenly distributed throughout Indonesia; and third; not all of the human resources for general election organizers at the lower levels are capable of operating the digital system properly. To improve the quality and to get the maximum results of election, general election organizers need to anticipate closing the gaps in digital application system deficiencies in holding the 2024 general election in Indonesia.
Manajemen Penetasan Itik Peking (Studi Kasus Di Desa Pakisrejo Kecamatan Srengat Kabupaten Blitar) Lestariningsih Lestariningsih; Indah Palupi; Nendra Eka Wardana
Journal of Science Nusantara Vol 3 No 4 (2023): Volume 3, Nomor 4, Desember 2023
Publisher : LPPM Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jsnu.v3i4.1357

Abstract

Tujuan penelitian ini yakni untuk mengidentifikasi manajemen penetasan itik peking. Kegiatan penelitian ini dilaksanakan pada bulan September - Oktober 2023 di peternak itik peking Desa Pakisrejo Kecamatan Srengat Kabupaten Blitar. Kegiatan ini menggunakan metode survei dan wawancara secara langsung kepada peternak. Hal yang diamati terdiri dari indukan itik peking, kualitas fisik telur tetas, dan faktor yang mempengaruh daya tetas. Hasil penelitian menunjukkan jika daya tetas telur fertile mencapai 80%. Manajemen penetasan dipengaruhi oleh kesehatan indukan dan dapat dilihat dari umur, bobot badan, dan bentuk tubuh. Bobot telur tetas yang baik yakni 55 – 65 gram.
Jalur Tata Niaga Pupuk Bokashi Berbasis Kotoran Ternak di Desa an Kecamatan Srengat Kabupaten Blitar Lestariningsih Lestariningsih; M Najib Zam Zami; Aris Syarifudin; Ahmad Rizqi Murtadho; M Aziz Hidayatullah
Journal of Science Nusantara Vol 4 No 1 (2024): Vol 4 No 1 Maret 2024
Publisher : LPPM Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jsnu.v4i1.1436

Abstract

Pupuk bokashi menjadi salah satu pupuk organik yang banyak diproduksi. Penggunaan pupuk bokashi sangat diminati oleh konsumen. Hal tersebut dapat dievaluasi berdasarkan usaha Bapak Sholikul Hima dalam pengolahan pupuk bokashi di Kecamatan Srengat Kabupaten Blitar. Tujuan dari penelitian ini yaitu untuk mengetahui jalur tata niaga pupuk bokashi sebagai salah satu usaha yang dikelola oleh Bapak Sholikul Hima. Metode yang digunakan dalam penelitian ini yakni survei, wawancara, observasi dan dokumentasi. Hasil penelitian menunjukkan jika jalur tata niaga pada proses suplai bahan dilakukan dengan 2 sistem yaitu terdiri dari sistem ambil dan setor. Bahan baku yang diperoleh selanjutnya dilakukan pengolahan berupa pembuatan pupuk bokashi selama 7 – 10 hari. Pupuk bokashi yang sudah jadi kemudiani dikemas dengan kapasitas 20 kg. Produksi pupuk bokashi dilaksanakan pada satu kali seminggu dengan kapasitas produksi 2 ton. Pupuk bokashi tersebut selanjutnya dipasarkan dengan sistem ambil oleh mitra serta dijual secara langsung pada masyarakat sekitar.
ENVIRONMENTAL LEARNING THROUGH THE DEVELOPMENT OF VIRTUAL REALITY-BASED COMPOSTING MODULES IN ELEMENTARY SCHOOLS Surayanah; M. Zainnudin; Yuniawatika; Marsanda Avilia Putri; Alfi Mayasari; Lestariningsih
El Midad Vol. 17 No. 2 (2025): EL MIDAD: JURNAL JURUSAN PGMI
Publisher : Universitas Islam Negeri Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20414/elmidad.v17i2.13844

Abstract

This study aims to develop a Virtual Reality (VR)-based composting learning module to foster environmental awareness among elementary school students and overcome the limitations of conventional learning, which is theoretical in nature. This study uses the Research and Development (R&D) method with the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The research subjects are fifth-grade students at SDIT Wildan Mukholladun. Validation results indicate that the developed module is highly suitable for use, with a percentage of 97.65%, meaning the media can be used without revision. The module is considered practical by both teachers and students and easy to use in learning activities, with an average percentage of 80% for both groups. Effectiveness testing through comparison of pretest and posttest scores shows an improvement in students' understanding, with effectiveness ratings in the moderate category. This was determined based on the N-Gain Score calculation, which showed a value of 0.303 for the small class and 0.301 for the large class. The module was deemed capable of providing an immersive and contextual learning experience, as well as supporting the cultivation of an environmentally conscious attitude among elementary school students.
Analisis Deret Waktu untuk Forecasting Populasi Ternak di Indonesia dengan Model LSTM Tito Prabowo; Lestariningsih; Abd. Charis Fauzan; Veradella Yuelisa Mafula
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7566

Abstract

Livestock population in Indonesia is one of the key indicators supporting national food security, particularly in meeting the demand for animal-based protein. However, the suboptimal utilization of livestock population data for strategic planning remains a challenge in the livestock sector. This study aims to predict livestock population in Indonesia using the Long Short-Term Memory (LSTM) method, a variant of Recurrent Neural Network (RNN) designed for time series data analysis. The livestock population data used in this research was obtained from the Central Statistics Agency (BPS) for the period of 2006 to 2022. The LSTM model was trained using 80% of the data for training and 20% for testing, with evaluation conducted using Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE). The results indicate that the LSTM model can forecast the national livestock population up to 2033 with good accuracy, particularly for livestock such as goats (MAPE 5.47%) and beef cattle (MAPE 5.64%). However, a higher error rate was observed for buffalo (MAPE 16.57%). The predictions indicate a significant growth trend in poultry populations, such as broiler chickens and laying hens. In conclusion, this model can support data-driven decision-making to ensure stable and sustainable animal protein availability, thereby strengthening national food security.
CLASSIFICATION OF BEEF FRESHNESS LEVELS BASED ON IMAGE USING CONVOLUTIONAL NEURAL NETWORK M Subhan Anshori; Fatra Nonggala Putra; Lestariningsih Lestariningsih
JIKO (Jurnal Informatika dan Komputer) Vol 8 No 1 (2025)
Publisher : Program Studi Teknik Informatika Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v8i1.9519

Abstract

Beef is an essential food commodity with high economic value and a primary source of protein for society. The quality of beef affects consumer preferences, pricing, and market competitiveness. Quality assessment is generally conducted manually through visual inspection and smell, but this method is subjective and time-consuming and requires trained experts. This study aims to design and develop a beef quality classification system using a Convolutional Neural Network (CNN) model based on digital imagery. The dataset used consists of three beef quality categories: Grade 1 (fresh beef), Grade 2 (beef stored at room temperature for 7-14 hours), and Grade 3 (beef stored at room temperature for more than 14 hours). The dataset includes 180 images processed using cropping, resizing, and data augmentation techniques to enhance model variation and accuracy. The CNN architecture employs four convolutional layers with max pooling, followed by dropout and fully connected layers. The model was trained using the Adam optimizer, with a training-to-test data ratio of 80:20. Evaluation results demonstrated the model achieved an accuracy of 97.22%, with precision, recall, and f1-score values of 97.44%, 97.22%, and 97.22%, respectively. These findings suggest that the developed system has the potential to be used as an automatic tool for objective, fast, and accurate beef quality assessment.
PENINGKATAN MOTIVASI KULIAH PETERNAKAN SANTRI MILENIAL DI PONDOK PESANTREN APIS DAN NABAWI KABUPATEN BLITAR Nining Haryuni; Lestariningsih
Maslahat: Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 1 (2022): Maslahat: Jurnal Pengabdian kepada Masyarakat (Desember)
Publisher : Universitas Nahdlatul Ulama Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55757/maslahat.v3i1.106

Abstract

Pengabdian masyarakat ini dilakukan sebagai upaya dalam meningkatkan motivasi para Santri milenial untuk kuliah peternakan guna mengembangkan potensi usaha peternakan di Kabupaten Blitar. Metode pendekatan yang digunakan adalah sosialisasi dengan ceramah dan diskusi, kemudian dilanjutkan dengan evaluasi hasil yang dilakukan di akhir bulan kegiatan pengabdian dengan cara mengambil data santri yang memutuskan untuk kuliah peternakan. Hasil dari kegiatan PKM ini adalah 78% santri peserta kegiatan PKM termotivasi dan memutuskan untuk kuliah peternakan dimana santri yang termotivasi tersebut 44% santri dari Pondok Pesantren APIS dan 56% santri dari Pondok Pesantren Nabawi. Pelaksanaan kegiatan PKM ini dapat disimpukan mampu meningkatkan motivasi para santri milenial untuk kuliah di peternakan sebagai upaya untuk mengembangkan potensi usaha peternakan di kabupaten Blitar.
PENDAMPINGAN PENGGUNAAN METODE USMANI DALAM MENINGKATKAN KEMAMPUAN MEMBACA AL-QURAN DENGAN MELALUI HALAQOH MU’ALIMIL QUR’AN (HMQ) DI TPQ TARBIYATUL ATHFAL SUMBERASRI Ahmad Saifudin; Lestariningsih
Maslahat: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 1 (2023): Maslahat: Jurnal Pengabdian kepada Masyarakat (Desember)
Publisher : Universitas Nahdlatul Ulama Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55757/maslahat.v4i1.107

Abstract

TPQ Tarbiyatul Athfal telah mengelar Diklat Usmani untuk bagi ustadz yang masih belum menguasai tajwid dan metode mengajar aktif. Namun hal itu pun masih belum maksimal dan masih banyak santri yang belum lulus tashih, yaitu ujian kenaikan juz dalam Usmani. Sehingga perlu adanya solusi dalam permasalahan ini. Fokus pada program ini adalah (1) memberikan pemahaman tentang penerapan metode Usmani dalam mempelajari Al-Qur’an (2) menggunakan metode metode Usmani dan untuk meningkatkan kemampuan membaca Al-Qur’an santri TPQ Tarbiyatul Athfal Sumberasri. Adapun metode yang digunakan dalam pendampingan ini adalah metode HMQ yaitu Halaqoh Mu’alimil Qur’an. Subjek dari pendampingan ini adalah guru atau ustadz TPQ Tarbiyatul Athfal yang berada di Desa Sumberasri Nglegok Blitar. Hasil dari pendampingan ini adalah (1) guru memahami cara-cara atau langkah-langkah dalam menerapkan metode Usmani dengan benar, (2) guru mampu menerapkan dan manjaga metode Usmani dengan baik melalui Halaqoh Mu’alimil Qur’an (HMQ). Selain itu untuk memupuk semangat guru dalam mentransfer ilmu kepada santri.
Co-Authors Abd. Charis Fauzan Agus Edi Winarto Agus Hermawan Ahmad Jamil Ababil Kuroma Ahmad Rizqi Murtadho Ahmad Saifudin Alfi Khusnita Alfi Mayasari Alfina Sefti Rahmaningtyas Amirul Mukhlisin Anang Catur Sulaksono Andi Setiawan Andika Fajar Hadiarto Anifiatiningrum Anifiatiningrum Anna Lidiyawati Anna Lidyawati Anna Lidyawati Ansori, Redhitya Wempi Aris Syarifudin Arum Ayu Lestari Azis, Rosidi Binti Khopsoh Binti Khopsoh Caska - Danang Ananda Yudha Deviana Diah Probowati Dimyati Huda Elinda Rahayu Ermawati ermawati Fachulun Maulana Arizunda Rokhmandanu Farid Abdullah FATRA NONGGALA PUTRA Fifi Susanti Fikrima Sinta Nuriyah Fuguh Fernandi Ghea Chika Yeiputa Hidayatul Rosidah Husna Fikriya Indah Palupi Isna Nurul Fajriyah Ita Nurhasanah M Aziz Hidayatullah M Najib Zam Zami M Subhan Anshori M. Fathoali M. Khoirul Abidin M. Muhsin M. Rizal Fanani M. Zainnudin Marsanda Avilia Putri Mas'ud Zakqi Hupron Masahid Masahid Mas’ud Zakqi Hupron Moch Ikhsanudin Mochamad Buqori Muslim Moh Mimbar Fauzi Muhamad Iza Dzulfikar Amin Muhammad Khomarudin Muhammad Muhsin Muhammad Sabiqun Nada Muhammad Yusuf Yasin Muhammad Yusuf Yasin nafisatuzzahro' nafisatuzzahro' nafisatuzzahro' Nendra Eka Wardana Ngabdus Sholihin Nining Haryuni Peni Nohantiya Poppy Yuliana Putri Qurrotul A'yun Reza Anggapratama Riska Mei Puspitasari Riska Mei Puspitasari Rosidi Aziz Saptono Hadi, Saptono Selania Nova Siti Karomah Surayanah Syafina Syafi'ina Tika Afrilia Tika Fitria Tika Fitria Wulan Afrilia Tika Fitria Wulan Afrilia Tito Prabowo Umril Mu'minin Veradella Yuelisa Mafula Vion Age Tricahyo Wika Nestria Santika Yuniawatika