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All Journal JIKO (Jurnal Informatika dan Komputer) SENTIA 2017 SENTIA 2016 Community Development Journal: Jurnal Pengabdian Masyarakat Nusantara Science and Technology Proceedings Journal of Community Development MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia Jurnal Sistem Informasi dan Bisnis Cerdas Journal of Informatics and Electronics Engineering International Journal of Healthcare and Information Technology Emitor: Jurnal Teknik Elektro The International Journal of Studies in Social Sciences and Humanities (IJOSSH) Jurnal Pemanfaatan Teknologi untuk Masyarakat
Qonitatul Hasanah
Politeknik Negeri Jember
Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Design and Performance Evaluation of an Energy Efficient Manure Shredder Pulverizer for Organic Fertilizer Production Damayanti, Annisa Maulidia; Amalia, Zakiyah; Permatasari, Dinda Ayu; Wicaksono, Rendi Pambudi; Hasanah, Qonitatul; Puspitasari, Etik
Emitor: Jurnal Teknik Elektro Vol 25, No 3: November 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i3.12977

Abstract

The growing demand for organic fertilizer calls for innovations in manure processing technology to enhance production efficiency and product quality. This study presents the design, fabrication, and performance evaluation of a prototype manure shredder–pulverizer that integrates dual shredding and pulverizing functions to accelerate the composting process and produce uniform particle sizes. The machine is powered by a 6.5 HP gasoline engine and tested using fresh goat manure with an average moisture content of approximately 70%. Performance evaluation focused on processing capacity, particle size distribution, specific energy consumption, and output homogeneity. The prototype achieved an average processing capacity of 96.4 kg/h, with more than 82.5% of the processed material passing through a 4 mm sieve and a dominant fraction of 2–4 mm (54.0%), which is ideal for composting. The specific energy consumption averaged 0.050 kWh/kg, lower than reported values for comparable small-scale biomass shredders. The homogeneity index consistently rated as Good, indicating stable particle size distribution across repeated trials. These findings demonstrate that the developed prototype provides a practical, energy-efficient, and low-cost solution for small-scale organic fertilizer production, supporting sustainable agricultural practices and reducing reliance on chemical fertilizers.
PENINGKATAN DAYA SAING PRODUK KERUPUK RAMBAK DI UD IKABA MELALUI PELATIHAN MODERNISASI TEKNOLOGI PRODUKSI Sholihah Ayu Wulandari; Adi Sucipto; Qonitatul Hasanah; Ahmad Haris Hasanuddin Slamet
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 6 (2024): Vol. 5 No. 6 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i6.37158

Abstract

Kegiatan pengabdian ini merupakan upaya peningkatan produksi kerupuk rambak di UD. IKABA. Pengabdian ini dilakukan dalam bentuk pelatihan penggunaan alat penggorengan yang telah dilengkapi sistem otomatisasi. Peserta dari pelatihan ini adalah pihak dari UD. IKABA yang meliputi pemilik dan beberapa karyawannya. Tujuan dari kegiatan pengabdian ini adalah untuk untuk meningkatkan pengetahuan serta keterampilan dari mitra untuk peningkatan produksi kerupuk rambak. Kegiatan pelatihan ini dilakukan melalui beberapa tahap dimulai dari tahap persiapan dan koordinasi dengan mitra, penyiapan dan perancangan teknologi produksi, pelatihan dan pendampingan penggunakan teknologi produksi, deseminasi alat penggorengan, dan monitoring dan evaluasi. Berdasarkan hasil pelatihan peserta telah mampu memahami dan mempraktikan penerapan teknologi otomatisasi penggorengan kerupuk rambak. Melalui pelatihan ini, diharapkan dapat mengoptimalkan produksi rambak di UD. IKABA dalam memenuhi permintaan konsumen akan produk rambak.
Implementasi Teknologi Produksi dan Digitalisasi Pemasaran Dalam Upaya Meningkatkan Daya Saing Produk Krupuk Rambak Sapi Pada Studi Kasus UMKM UD. IKABA di Pasar Global Sholihah Ayu Wulandari; Qonitatul Hasanah; Adi Sucipto; Ahmad Fahriyannur Rosyady; Asmunir Asmunir
Journal of Community Development Vol. 5 No. 3 (2025): April
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/comdev.v5i3.1511

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in boosting Indonesia’s GDP, contributing 61.97%. In addition to generating employment, MSMEs promote economic equity and support national growth. Mojokerto Regency, with 474,346 MSME units contributing IDR 63.498 trillion to the GDP, demonstrates significant potential. However, many MSMEs in this region struggle with low competitiveness. This community engagement program focuses on empowering MSMEs in the food processing sector, particularly the production of kerupuk rambak (fried cowhide crackers) at UD. IKABA. Key challenges identified include limited technology, such as using a modified washing machine to remove excess oil, as well as conventional marketing methods and unappealing packaging. The intervention involved introducing an automatic oil spinner and providing digital marketing training, including the development of a website application for online orders and promotion. The results show improved production efficiency, with processing time reduced by 25%, production capacity increased by 50%, and higher product quality in terms of hygiene and shelf life. Digital marketing also expanded the market reach from local to national levels, resulting in a 70% increase in sales. The implementation of production technology and digital marketing has proven effective in enhancing MSME competitiveness, contributing to both local and national economic growth.
Web Platform for Automated Detection of Abnormal Red Blood Cells Using Computer Vision Qonitatul Hasanah; Zilvanhisna Emka Fitri; Victor Phoa; Dian Kartika Sari
International Journal of Healthcare and Information Technology Vol. 3 No. 2 (2026): January
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/ijhitech.v3i2.6718

Abstract

Accurate identification of red blood cell (RBC) morphological abnormalities is essential for anemia screening and hematological assessment; however, manual microscopic examination remains time-consuming, subjective, and highly dependent on expert availability. While recent deep learning studies have demonstrated promising accuracy in RBC classification, many focus primarily on model performance without addressing practical deployment constraints or system-level integration for routine laboratory use. In this study, a web-based prototype system for automated RBC abnormality classification is proposed using a lightweight MobileNetV2 architecture. The dataset consisted of 1,320 microscopic blood smear images collected from Klinik & Laboratorium Parahita in Jember and Surabaya, covering six RBC categories with balanced class distribution. All images were anonymized and verified by a certified clinical pathologist prior to use. The model was trained using transfer learning and evaluated on a held-out test set to assess generalization performance. The proposed model achieved a test accuracy of 89.77%, with consistent precision, recall, and F1-score across classes, indicating reliable multi-class classification performance. Analysis of misclassified samples revealed uncertainty primarily between morphologically similar RBC types, reflected by lower confidence scores. These results demonstrate that lightweight deep learning models can provide effective and efficient support for RBC morphology analysis when integrated into an accessible web-based system. The proposed approach contributes a deployment-oriented diagnostic support tool that has the potential to assist laboratory professionals by improving screening efficiency and consistency while preserving clinical oversight.
Klasifikasi Kesegaran Stroberi Berdasarkan Multi-Fitur Qonitatul Hasanah; Lukas Raden Arya Jatayu
Journal of Informatics and Electronics Engineering Vol. 6 No. 01 (2026): Juni 2026
Publisher : Unit Penelitian dan Pengabdian kepada Masyarakat Politeknik TEDC Bandung Jl. Pesantren Km 2 Cibabat Cimahi Utara – Cimahi 40513 Jawa Barat – Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70428/jiee.v6i01.1661

Abstract

Stroberi merupakan buah hortikultura yang sangat rentan mengalami penurunan kualitas setelah dipanen, sehingga klasifikasi tingkat kesegaran menjadi tahap penting dalam menjaga standar produk. Selama ini, penilaian kualitas masih banyak dilakukan secara manual melalui pengamatan visual yang bersifat subjektif, rentan terhadap kelelahan manusia, dan kurang efisien. Penelitian ini bertujuan untuk mengembangkan metode identifikasi tingkat kesegaran stroberi secara otomatis menggunakan teknik pengolahan citra digital. Dataset yang digunakan terdiri dari 500 citra stroberi yang dibagi menjadi 80% data latih dan 20% data uji. Proses ekstraksi fitur dilakukan dengan mengombinasikan tiga parameter utama, yaitu fitur warna RGB, fitur tekstur menggunakan Gray Level Co-Occurrence Matrix (GLCM), serta fitur deteksi tepi melalui Laplacian Filter. Klasifikasi tingkat kesegaran dilakukan dengan menerapkan algoritma K-Nearest Neighbor (KNN). Hasil evaluasi performa menunjukkan bahwa penggunaan parameter k=5 memberikan hasil paling optimal dengan tingkat akurasi sistem sebesar 94% dan akurasi perhitungan manual mencapai 97%. Kombinasi multi-fitur terbukti mampu memberikan representasi visual yang lebih menyeluruh serta meningkatkan stabilitas model dalam membedakan antara karakteristik stroberi segar dan busuk secara akurat dan konsisten.
Implementasi Teknologi Tepat Guna dan Sistem Digital Pengelolaan Sampah Organik pada Garda Pangan Dinda Ayu Permatasari; Zakiyah Amalia; Qonitatul Hasanah; Rendi Pambudi Wicaksana; Annisa Maulidia Damayanti
JAPATUM: Jurnal Pemanfaatan Teknologi untuk Masyarakat Vol 5 No 2 (2026): September 2026
Publisher : MATRADIPTI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59328/JAPATUM.2026.5.2.146

Abstract

Sampah organik merupakan komponen terbesar timbulan sampah perkotaan yang memerlukan pengelolaan berkelanjutan melalui penerapan konsep ekonomi sirkular. Social Enterprise Garda Pangan Kota Surabaya menghadapi kendala dalam pengolahan residu organik yang belum termanfaatkan secara optimal serta pencatatan operasional yang masih dilakukan secara manual. Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan kapasitas mitra melalui implementasi teknologi tepat guna dan sistem digital dalam pengelolaan sampah organik. Metode pelaksanaan menggunakan pendekatan Participatory Action Research (PAR) yang meliputi identifikasi permasalahan, sosialisasi, pelatihan dan implementasi teknologi tepat guna, implementasi sistem digital, serta pendampingan dan evaluasi. Teknologi yang diterapkan berupa mesin giling sampah organik, blower aerasi kompos, serta sistem pelaporan digital berbasis Telegram Bot yang terintegrasi dengan dashboard web. Hasil evaluasi menunjukkan bahwa 90% peserta mampu mengoperasikan mesin secara mandiri, 95% peserta mampu menggunakan sistem pelaporan digital, dan tingkat kepuasan peserta mencapai rata-rata 4,76 dari skala 5. Implementasi teknologi dan sistem digital meningkatkan efektivitas pengolahan residu organik, dokumentasi, serta monitoring operasional. Program ini berhasil memperkuat kapasitas Garda Pangan dalam mendukung pengelolaan sampah organik berbasis ekonomi sirkular secara berkelanjutan.
Analysis distribution and segmentation of micro, small, and medium enterprises (MSMEs) in Kediri Residency Area: implications for local economic development Qonitatul Hasanah; Inggrid Yanuar Risca Pratiwi; Zakiyah Amalia; Riska Nur Wakidah
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 13 No. 3 (2023): Matrix: Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v13i3.130-141

Abstract

Micro, Small, and Medium Enterprises (MSMEs) are critical drivers of economic growth, especially in developing nations like Indonesia. This study focuses on the specific case of Kediri Residency, using 2018 data from the Central Bureau of Statistics of East Java Province to uncover insights for sustainable local economic development. Our methodology involved data acquisition, parsing, mining, filtering, and representation/ interaction. This process yielded a dataset of 168 data points, providing a nuanced view of MSMEs in Kediri Residency. Our analysis highlighted significant trends. Kediri Regency, for example, excelled in the Food and Beverage Industry (270 MSMEs) and Wood Industry (260 MSMEs). Blitar Regency thrived in the Wood Industry (235 MSMEs) and the Food and Beverage Industry (230 MSMEs). Tulungagung Regency showed strength in the Wood Industry (219 MSMEs). These findings have strategic implications for local economic development, such as sectoral strengthening, enhancing competitiveness, forming business clusters, and tailoring policies to MSMEs' unique needs. Comparing Kediri City to Kediri Regency and Blitar City to Blitar Regency revealed disparities and opportunities, highlighting the role of local policies and infrastructure in MSME development. In conclusion, our research provides actionable insights to formulate policies, develop infrastructure, improve financing access, and enhance skills training programs. These actions will catalyze MSME growth, promoting regional economic development and stability.
Co-Authors Adi Sucipto Adi Sucipto, Adi Ahmad Fahriyannur Rosyady Ahmad Fahriyannur Rosyady, Ahmad Fahriyannur Ahmad Haris Hasanuddin Slamet Amalia, Zakiyah Annisa Maulidia Damayanti Asmunir Damayanti, Annisa Maulidia Dian Kartika Sari DWI PUSPITASARI Etik Puspitasari, Etik Inggrid Yanuar Risca Pratiwi Lukas Raden Arya Jatayu PERMATASARI, DINDA AYU Pratama, Raditya Arief Puji Hastuti Puji Hastuti Puji Hastuti Puji Hastuti Raditya Arief Pratama Raditya Arief Pratama Raditya Arief Pratama Rahmawati, Ulfa Emi Rendi Pambudi Wicaksana Rendi Pambudi Wicaksono Riska Nur Wakidah Robertus Romario Rosa Andrie Asmara Sakkinah, Intan Sulistyaningrum Siti Romlah Ulfa Emi Rahmawati Ulfa Emi Rahmawati Ulla Delfana Rosiani Victor Phoa Wahyu Kurnia Dewanto Wahyu Kurnia Dewanto Wulandari, Laila Wulandari, Sholihah Ayu Yunita, Tria Zakiyah Amalia Zakiyah Amalia Zilvanhisna Emka Fitri