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All Journal Agrointek Jurnal Sosioteknologi Jurnal Ilmiah Teknik Industri JURNAL REKAYASA SISTEM INDUSTRI Jurnal INTECH Teknik Industri Universitas Serang Raya Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Industri Inovatif : Jurnal Teknik Industri Jurnal Sistem Teknik Industri Jurnal E-Komtek Jurnal Graha Pengabdian JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal AbdiMas Nusa Mandiri Jurnal Pengabdian kepada Masyarakat Jurnal Abmas Negeri (JAGRI) Biomedical and Mechanical Engineering Journal Journal of Marketing Innovation Jurnal Informasi Sains dan Teknologi (ISAINTEK) Jurnal Teknologi dan Manajemen Industri Terapan eProceedings of Engineering Jurnal INFOTEL Jurnal Teknik Industri, Bisnis Digital, dan Teknik Logistik: Jurnal Trinistik Journal of Industrial and Mechanical Engineering KREATIF: Jurnal Pengabdian Masyarakat Nusantara
Famila Dwi Winati
Universitas Telkom
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Program Transformasi Teknologi Peternakan Cerdas: Optimalisasi Monitoring Bibit Kambing Unggul Berbasis IoT dan Integrasi Circular Economy melalui Pupuk Organik Ariq Cahya Wardhana; Arif Amrulloh; Wahyu Andi Saputra; Famila Dwi Winati; Mochammad Edrick Firjatullah; Adhimas Arya Saputra; Farrel I'zaz Yuwono
KREATIF: Jurnal Pengabdian Masyarakat Nusantara Vol. 6 No. 1 (2026): Jurnal Pengabdian Masyarakat Nusantara
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/kreatif.v6i1.8920

Abstract

This study presents the implementation of a Smart Livestock Technology Transformation Program designed to improve the efficiency and sustainability of smallholder goat farming through the integration of Internet of Things (IoT) monitoring systems and circular economy practices. The initiative was motivated by the limited accuracy of conventional manual measurements, the absence of continuous growth monitoring, and the underutilization of goat manure as a valuable agricultural resource. This research aims to develop an IoT-based monitoring system capable of automatically recording goat body weight and growth performance, while simultaneously transforming livestock waste into organic fertilizer with economic benefits for local farmer groups. The methodology adopts a participatory action research and research and development approach, involving system design, device installation, digital literacy training, organic fertilizer processing, and performance evaluation. The results demonstrate that the IoT system significantly improves measurement accuracy, increases monitoring frequency, reduces human error, and enhances early detection of growth anomalies. The manure processing activities, supported by mixing and grinding machines, produce high-quality organic fertilizer with better homogeneity and ease of application. The integration of IoT and circular economy practices yields positive impacts including increased livestock productivity, improved digital capabilities among farmers, reduced environmental waste, and the creation of new economic value within the community. The findings indicate that this integrated model has strong potential for broader replication in other small-scale livestock communities facing similar challenges.
Smart Circular Farming 4.0: IoT-and Solar Cell-Based Integration of Maggot Farming, Laying Hens, Biofloc Aquaculture, and Hydroponics for Village Food Security Mastur, Mastur; Nugroho, Catur; Praharto, YB; Artati, Nuning; Winati, Famila Dwi; Qisthani, Nabila Noor; Arifin, Miftahol
Jurnal Abmas Negeri (JAGRI) Vol. 6 No. 2 (2025): Volume 6 Nomor 2 Desember 2025
Publisher : Sarana Ilmu Indonesia (salnesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36590/jagri.v6i2.1866

Abstract

Located in a hilly area of Banyumas with high stunting and poverty rates, Windujaya Village faces significant geographical and infrastructural challenges. This community service program implements an integrated farming system based on Appropriate Technology (TTG) and a closed-loop production model. Key innovations include maggot cultivation, biofloc catfish farming, hydroponics, and an IoT-integrated smart chicken coop powered by solar energy. Through training and mentoring, the program successfully improved residents' skills, reduced feed and energy costs, and diversified income sources. The integration of IoT and sustainable farming models proved effective in enhancing food security and fostering adaptive community empowerment in marginalized areas.
Data-Driven Product Segmentation for Shallot Commodities using PCA and K-Means Clustering Approach Famila Dwi Winati; Miftahol Arifin; Muhammad Iqbal Faturohman; Enci Mulyani
JURNAL INFOTEL Vol 17 No 3 (2025): August
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v17i3.1307

Abstract

The shallot industry plays a strategic role in the Indonesian economy, especially in the Brebes Regency as the largest production center. However, challenges in the form of price fluctuations and low value-added products still burden farmers. Previous research tends to focus on individual products without considering a holistic product clustering strategy. This study aims to address the gap by applying the K-Means clustering method combined with Principal Component Analysis (PCA) to identify patterns in shallot and processed product sales data. The research data includes sales of 308 products from 2022-2024. The variables analyzed include product type, size, number of sold, and turnover. The results of the analysis formed three main groups, which are group 0 (small products with low performance), group 1 (large products with superior performance) and group 2 (medium products with stable performance). The findings indicate the importance of more targeted marketing strategies and product diversification. The implications of this study include optimizing superior products, revitalizing low-performing products, and developing stable products to expand the market. A customized e-Commerce-based strategy per cluster can improve the financial performance of the organization and the welfare of shallot farmers in a sustainable manner.
Strategic Planning for Rice Seed Productivity Using Integration of modified TF-IDF and SWOT-QSPM Enci Mulyani; Ridho Ananda; Famila Dwi Winati
JURNAL INFOTEL Vol 18 No 1 (2026): February
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v18i1.1416

Abstract

The agricultural sector of Indonesia is dependent on the availability of highquality rice seeds for its functionality. The effective management of these seeds is therefore of paramount importance to ensure the continuity of productivity and the security of food supplies. However, the aspirations of farmers, who are the primary actors, are often ineffective and only available in an unstructured narrative form. This complicates the process of strategic decision-making. The objective of this study is to enhance rice seed productivity by developing a strategy that employs an integrative informatics approach, integrating text mining, SWOT analysis, and the QSPM method. The data was collected via 100 open-endedinterviews with farmers and processed through text cleansing, modified TF-IDF weighting, and token classification into SWOT factors. The classification results were then employed to construct IFAS and EFAS matrices, which were used to determine strategic positioning. The utilization of the QSPM matrix facilitated the identification of priority strategies. The analysis indicated that the seed aspect falls into quadrant IV, suggesting a predominance of weaknesses and threats, necessitating a defensive (WT) strategy. The primary strategy identified was the provision of superior seeds that are resistant to extreme weather; this strategy achieved the highest score in the QSPM analysis. The strategy’s feasibility level, as validated by three experts, exceeded 83%, thus categorizing it as "highly feasible." The present study concludes that integrating text mining techniques with SWOT-QSPM transforms opinion data into an objective, adaptable, and applicable decision-making strategy based on local data.
Green Supply Chain Pengelolaan Sampah: Studi Kasus Penggunaan Maggot BSF dalam Pengolahan Sampah Organik Miftahol Arifin; Nabila Noor Qisthani; Famila Dwi Winati
Jurnal Informasi, Sains dan Teknologi Vol. 5 No. 02 (2022): Desember: Jurnal Informasi Sains dan Teknologi
Publisher : Politeknik Negeri FakFak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/isaintek.v5i02.67

Abstract

Green supply chain pengelolaan sampah merupakan sistem pengelolaan sampah yang berbasis pada prinsip-prinsip lingkungan dan keberlanjutan. Penelitian ini bertujuan untuk mengembangkan sistem pengelolaan sampah yang ramah lingkungan dan berkelanjutan dengan menggunakan teknologi pengolahan sampah berbasis maggot Black Soldier Fly (BSF). Penelitian ini menggunakan metode penelitian deskriptif kualitatif dengan mengumpulkan data dari sumber-sumber primer dan sekunder. Hasil penelitian menunjukkan bahwa penggunaan maggot BSF dapat menjadi solusi alternatif dalam mengolah sampah organik dan menghasilkan produk yang bernilai tambah, seperti pupuk organik dan pakan ternak. Pengelolaan maggot BSF memerlukan pemilihan jenis dan kualitas maggot yang optimal, serta pengelolaan budidaya maggot BSF yang tepat. Selain itu, diperlukan juga sistem manajemen logistik dan distribusi produk akhir yang efektif dan efisien. Dampak sosial dan lingkungan dari green supply chain pengelolaan sampah berbasis maggot BSF juga perlu dievaluasi dan dikelola dengan baik. Oleh karena itu, diperlukan kebijakan dan regulasi yang mendukung pengembangan green supply chain pengelolaan sampah berbasis maggot BSF. Penelitian ini memberikan rekomendasi terkait strategi pengembangan green supply chain pengelolaan sampah berbasis maggot BSF yang dapat diterapkan di berbagai skala, mulai dari tingkat rumah tangga hingga tingkat industri besar. Dengan mengoptimalkan green supply chain pengelolaan sampah berbasis maggot BSF, diharapkan dapat dihasilkan solusi pengelolaan sampah yang ramah lingkungan, berkelanjutan, dan dapat memberikan manfaat ekonomi dan sosial bagi masyarakat.
Perencanaan Persediaan Bahan Baku Semen Menggunakan Pendekatan Min-Max Inventory Berbasis Peramalan Najmadan Febriawan; Famila Dwi Winati; Karina Amanda Larasati
Journal of Industrial and Mechanical Engineering Vol 3 No 1 (2025): Journal of Industrial and Mechanical Engineering
Publisher : Department of Industrial Engineering, Universitas Jenderal Soedirman.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jimien.2025.3.1.16231

Abstract

PT Solusi Bangun Indonesia is a cement manufacturing company that utilizes FABA (Fly Ash and Bottom Ash) as one of its supplementary raw materials. A significant issue faced by the company is the overstock of FABA, which contributes to increased storage costs and poses a risk of environmental pollution. This research aims to develop an optimal inventory planning strategy for FABA by integrating time series forecasting methods with a min-max inventory control policy. The study utilizes historical FABA demand data from July 2023 to June 2024. Three forecasting techniques are applied: moving average, weighted moving average, and exponential smoothing. Accuracy evaluation indicates that the moving average method with a parameter of n = 3 produces the lowest forecasting error, as measured by MSE and MAD. The forecasting model is further validated using the Moving Range Chart to ensure its stability and reliability. The calculated safety stock at a 95% service level is 191.34 tons, with a minimum inventory of 758.83 tons and a maximum of 1,326.31 tons. This forecasting-based min-max policy effectively enhances inventory efficiency, mitigates risks of overstock and stockout, and supports operational sustainability.
Pengenalan Simulasi Industri Melalui Gamifikasi Pembelajaran Pada Siswa SMA Kabupaten Purbalingga Violita Anggraini; Muhammad Iqbal Faturohman; Famila Dwi Winati; Aiza Yudha Pratama; Halim Qista Karima; Deva Grasella Manalu; Husni Fadhlurrahman; Agustinus Mahardhika
JURPIKAT Vol 7 No 3 (2026)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v7i3.3362

Abstract

Perkembangan dunia industri menuntut sumber daya manusia yang memiliki kemampuan berpikir sistem dan pemahaman terhadap proses industri secara terintegrasi. Namun, pembelajaran di tingkat SMA masih cenderung bersifat konseptual sehingga siswa memiliki keterbatasan dalam memahami dinamika sistem industri dan pendekatan STEM. Kegiatan pengabdian masyarakat bertujuan untuk mengenalkan konsep simulasi industri serta memperkuat literasi STEM siswa SMA melalui pendekatan gamifikasi menggunakan Beer Game. Metode pelaksanaan dilakukan secara partisipatif melalui tahapan persiapan, pengenalan konsep sistem industri dan STEM, pelaksanaan simulasi Beer Game, serta evaluasi kegiatan, dengan sasaran siswa SMA kelas peminatan teknik. Hasil kegiatan menunjukkan bahwa simulasi Beer Game meningkatkan pemahaman siswa terhadap konsep sistem industri dan rantai pasok, mendorong keterlibatan aktif, serta mengembangkan kemampuan berpikir sistem, pengambilan keputusan. Umpan balik peserta menunjukkan tingkat kepuasan yang tinggi terhadap materi dan metode kegiatan. Dengan demikian, gamifikasi Beer Game berpotensi menjadi model pengabdian masyarakat berkelanjutan dalam penguatan literasi STEM di pendidikan menengah.
Co-Authors Achmad Zaki Yamani Adhe Rizky Anugerah Adhimas Arya Saputra Agustinus Mahardhika AHMAD THORIQ ALFATAN Aiza Yudha Pratama Anastasia Febiyani Arif Amrulloh Arif Reza Basirun Ariq Cahya Wardhana Arsita Pinandita Aswan Munang Azril Dwi Setiawan Bita Parga Zen C N Hutabarat, Rezky Catur Nugroho Deva Grasella Manalu Dianti, Ine Luna Dimas Auladi Yusuf Dina Rachmawaty Diovianto Putra Rakhmadani Djati, Hidayat Dwi Adi Purnama Emmareta Fauziah Enci Mulyani Faizah, Putri Nur Farrel I'zaz Yuwono Fatbayani Faturohman, Kholid Faturohman, Muhammad Iqbal Fauzan Romadlon Fikra Titan Syifa Gilang Ramadhan Gladi Pawestri Utami Guntur Samodro Hawwin Mardhiana Husni Fadhlurrahman I Anna Tul Munikhah Indarwati, Titi Irwan Susanto Isnaini Nurisusilawati Juni Aditya Hidayatullah Karima, Halim Qista Karina Amanda Larasati Luqman Wahyudi Mastur Miftahol Arifin Miftahol Arifin MIFTAHOL ARIFIN, MIFTAHOL Mochammad Edrick Firjatullah Mochammad Imron Awalludin Mohammad Dolla Muhammad Faizul Haq Muhammad Iqbal Tawakal Muhammad Putra Adidarma, Bariano Nabila Noor Qisthani Najmadan Febriawan Nuning Artati Nurul Alfiah Nurul Latifasari Praharto, YB Putra Permadi, Firman Putra, Yudithia Dian Ratih Alifah Putri Ridho Ananda Rizq Athallah Puddin Santoso, Tegar Syarif Hidayatuloh Tegar Santoso Violita Anggraini Wahyu Andi Saputra Wan Ahmad, Wan Nurul Karimah Widyaningrum, Maretha Rahmawati Yanyan Ramdhan, Ade Yulinda Uswatun Kasanah