Abstract:Abstract: Top Fresh Chicken is one of the UKM that produces food made from chicken. The problem faced by Top Fresh Chicken is the excess supply of raw materials which results in high inventory holding costs and hampered…
capital allocation. In this study, historical data on stock of chicken raw materials will be used to test forecasting using the SES and WMA methods. The SES method is a simple forecasting method and relies on exponential smoothing to forecast the value of raw material inventories in the future. Meanwhile, the WMA method uses certain weights to calculate moving averages from historical data, where the highest weight is given to the most recent data. In the method comparison process, several evaluation factors will be used, including the level of accuracy, level of stability, and ease of implementation. By comparing the performance of the two methods, this study aims to determine the most accurate and appropriate method for forecasting chicken raw material stocks. The results of this study are expected to provide clear recommendations regarding the most suitable forecasting method used by Top Fresh Chicken. By using accurate and effective forecasting methods, companies can optimize the use of resources, reduce inventory costs, increase production efficiency, and avoid excess or shortage of raw material inventories.
Keywords: comparison of methods; single exponential smoothing; weighted moving average; raw materials; top fresh chicken.
Abstrak: Top Fresh Chicken merupakan salah satu UKM yang memproduksi makanan yang berbahan baku ayam. Permasalahan yang dihadapi oleh Top Fresh Chicken adalah kelebihan persediaan bahan baku yang mengakibatkan biaya simpan persediaan yang tinggi dan alokasi modal yang terhambat.Dalam penelitian ini, data historis persediaan bahan baku ayam akan digunakan untuk menguji peramalan menggunakan metode SES dan WMA. Metode SES merupakan metode peramalan yang sederhana dan mengandalkan eksponensial smoothing untuk meramalkan nilai persediaan bahan baku di masa depan. Sedangkan metode WMA menggunakan bobot tertentu untuk menghitung rata-rata bergerak dari data historis, di mana bobot tertinggi diberikan pada data terbaru.Dalam proses komparasi metode, beberapa faktor evaluasi akan digunakan, termasuk tingkat akurasi, tingkat kestabilan, dan kemudahan implementasi. Dengan membandingkan kinerja kedua metode, penelitian ini bertujuan untuk menentukan metode yang paling akurat dan tepat untuk meramalkan persediaan bahan baku ayam.Hasil dari penelitian ini diharapkan dapat memberikan rekomendasi yang jelas tentang metode peramalan yang paling cocok digunakan oleh Top Fresh Chicken. Dengan menggunakan metode peramalan yang akurat dan efektif, perusahaan dapat mengoptimalkan penggunaan sumber daya, mengurangi biaya persediaan, meningkatkan efisiensi produksi, dan menghindari terjadinya kelebihan atau kekurangan persediaan bahan baku.
Kata kunci : komparasi metode; single exponential smoothing; weighted moving average; bahan baku; top fresh chicken.
Abstract:Abstract: The Air Joman Health Center is a community health center that provides services in the form of medical services to the Air Joman community and its surroundings. Based on the observations made by the author, the…
use of syringes at the Air Joman Health Center fluctuates every month consisting of 1 ml syringes, 2.5 ml syringes, 3 ml syringes, 5 ml syringes and 10 ml syringes. After use, the syringe should not be reused and must be discarded. However, sometimes there are obstacles in serving patients, this is due to the limitations of syringes. The number of needles data can only be estimated from the number of available medical devices (stock), because the need for each month is different. This resulted in not all the needs of medical devices were met and there was often additional stock. To overcome problems regarding the processing of medical device stock data, assistance with forecasting is needed, which is the process of estimating future demand. The forecasting system is designed using the PHP programming language and MySQL database. Forecasting the supply of syringes at the Air Joman Health Center speeds up the cashier's work process to make reports because the forecasting system automatically produces forecasting results when the calculate button is clicked and prints the report. Keywords: Single Moving Average Method; Syringe Supplies; Joman Water Health Center.
Abstrak: Puskesmas Air Joman merupakan pusat kesehatan masyarakat yang memberikan pelayanan dalam bentuk jasa pengobatan kepada masyarakat Air Joman dan sekitarnya. Berdasarkan observasi yang dilakukan penulis, adapun penggunaan jarum suntik di Puskesmas Air Joman setiap bulan berfluktuasi yang terdiri atas jarum suntik 1 ml, jarum suntik 2,5 ml, jarum suntik 3 ml, jarum suntik 5 ml dan jarum suntik 10 ml. Setelah pemakaian, jarum suntik tidak boleh dipakai kembali dan harus dibuang. Namun, terkadang terjadi kendala dalam melayani pasien, hal ini disebabkan karena keterbatasan jarum suntik. Banyaknya data jarum suntik hanya bisa diperkirakan dari banyak atau sedikitnya alat kesehatan yang ada (stok), dikarenakan kebutuhan setiap bulan berbeda-beda. Hal ini mengakibatkan tidak semua kebutuhan alat kesehatan terpenuhi dan sering terjadi stok tambahan. Untuk mengatasi permasalahan mengenai pengolahan data stok alat kesehatan, maka dibutuhkan bantuan dengan peramalan (forecasting) yang merupakan proses pengestimasian permintaan di masa mendatang. Sistem peramalan tersebut dirancang menggunakan bahasa pemrograman PHP dan database MySQL. Peramalan persediaan jarum suntik pada Puskesmas Air Joman mempercepat proses kerja Kasir untuk melakukan pembuatan laporan karena sistem peramalan secara otomatis menghasilkan hasil peramalan ketika diklik tombol hitung dan cetak laporan.
Kata Kunci: Metode Single Moving Average; Persediaan Jarum Suntik; Puskesmas Air Joman.
Abstract:Abstract: PT. Alam Jaya Wirasentosa which is located in Hessa Air Genting, Air Batu District, Asahan Regency, North Sumatra. This company is engaged in sales and distribution which has a fairly wide coverage on the island…
d of Sumatra. PT. Alam Jaya Wirasentosa sells Indofood's main products, one of which is bimoli cooking oil. Constraints experienced by PT. Alam Jaya Wirasentosa often has problems with stock availability due to the large number of product requests from consumers. In addition, there are times when there is too much inventory (over stock) that results in too high a cost burden to store and maintain materials during storage in the warehouse even though the goods still have opportunity costs (funds that can be invested / invested in more profitable things). In this study, the SMA method is used to solve the problem of predicting the demand for cooking oil in the next period. In addition, the purpose of this study is to determine the forecasting system used by PT. Alam Jaya Wirasentosa in forecasting the demand for Cooking Oil each month and implementing the Single Moving Average Method in forecasting the Demand for Cooking Oil, especially Bimoli cooking oil. At PT. Alam Jaya Wirasentosa.
Keywords: Forecasting; Single Moving Average; Bimoli Cooking Oil; PT. Alam Jaya Wirasentosa
Abstrak: PT. Alam Jaya Wirasentosa yang berlokasi di Hessa Air Genting, Kecamatan Air Batu, Kabupaten Asahan, Sumatera Utara.Perusahaan ini bergerak dalam bidang penjualan dan distribusi yang memiliki cakupan cukup luas di pulau Sumatera. PT. Alam Jaya Wirasentosa menjual produk utama Indofood salah satunya minyak goreng bimoli. Kendala yang dialami oleh PT. Alam Jaya Wirasentosa sering mengalami masalah ketersediaan stock barang dikarenakan banyaknya permintaan produk dari konsumen. Selain itu ada masa dimana terlalu banyaknya persediaan (over stock) yang ada sehingga mengakibatkan terlalu tingginya beban biaya guna menyimpan dan memelihara bahan selama penyimpanan di gudang padahal barang tersebut masih mempunyai opportunity cost (dana yang bisa ditanamankan / diinvestasikan pada hal yang lebih menguntungkan). Pada penelitian ini menggunakan metode SMA dalam memecahkan masalah prediksi permintaan minyak goreng pada periode selanjutnya. Selain itu tujuan penelitian ini adalah untuk mengetahui sistem peramalan yang digunakan oleh PT. Alam Jaya Wirasentosa dalam meramalkan permintaan Minyak Goreng tiap bulannya dan mengimplementasikan Metode Single Moving Average dalam meramalkan Permintaan Minyak Goreng khusunya minyak goreng Bimoli Pada PT. Alam Jaya Wirasentosa.
Kata Kunci: Peramalan, Single Moving Average, Minyak Goreng Bimoli, PT. Alam Jaya Wirasentosa,
Abstract:Abstract: Momy's Cake and Bread is one of the businesses engaged in the bakery and cake food industry that produces various types of bread, and cakes, ranging from Korean garlic bread, toasted brownise and others. All products…
oducts have the same raw materials such as wheat flour, sugar, eggs, bananas, butter and others. There are times when there is excess raw material, but sometimes it is also lacking, a shortage of raw material supplies that a little will have an impact on the production process stopping which results in losing customers because they cannot meet their needs. Forecasting is a technique that aims to predict what will happen next based on pre-existing data. With this forecasting technique, it can provide predictions so that users can take effective steps that can be taken next. The ingredients to be predicted are wheat flour, sugar, eggs, bananas, coconut, white butter, cocoa, almonds, cocoa powder, vanilla. So that getting the forecast value in July 2021, the results Mean Absolute Deviation (MAD) = 9,5874, Mean Square Error (MSE) = 18225,39162 and Mean Absolute Perentage Error (MAPE) = 30%, will be designed and built using the language PHP and MySQL programming so that it can be accessed using the internet and the system is based on a website.
Keyword:Forecasting; Single Moving Average; Cake and Bread Raw Materials; Momy's Cake And Bread.
Abstrak: Momy’s Cake and Bread merupakan salah satu usaha yang bergerak di bidang industri makanan roti dan kue yang memproduksi berbagai jenis roti, dan kue, mulai dari roti korean garlic, brownise panggang dan lain-lain. Semua produk memiliki bahan baku yang sama seperti tepung terigu, gula pasir, telur, pisang, mentega dan lain-lain. Ada kalanya bahan baku berlebih, namun terkadang juga kurang, kekurangan persediaan bahan baku yang sedikit akan berdampak pada proses produksi yang berhenti yang berakibat kehilangan pelanggan karena tidak dapat memenuhi kebutuhannya. Peramalan merupakan sebuah teknik yang bertujuan untuk melakukan prediksi mengenai apa yang akan terjadi selanjutnya berdasarkan data-data yang telah ada sebelumnya. Dengan teknik peramalan tersebut dapat memberikan prediksi sehingga penggunanya dapat melakukan langkah-langkah efektif yang dapat dilakukan selanjutnya. Bahan yang akan diramalkan adalah bahan tepung terigu, gula pasir, telur, pisang, kelapa, mentega putih, coklat, kacang almond, coklat bubuk, vanili. Sehingga mendapatkan nilai peramalan pada bulan juli 2021di dapat hasil Mean Absolute Deviation (MAD) = 9,5874, Mean Square Error (MSE) = 18225,39162 dan Mean Absolute Perentage Error (MAPE) = 30%, akan dirancang dan dibangun dengan menggunakan bahasa pemrograman PHP dan MySQL sehingga dapat diakses dengan menggunakan internet dan sistem tersebut berbasis website.
Kata Kunci : Peramalan; Single Moving Average; Bahan Baku Kue dan Roti; Momy’s Cake And Bread.
Abstract:Abstract: Food is the most important foodstuff needed by humans, in addition to consumption, the production of food crops can also be used as a source of business in the economy. This study aims to predict the production…
of food crops in the Agriculture Office of Asahan Regency. Based on data on food crop production from 2012 to 2019 at the Asahan District Agriculture Office experienced ups and downs, food crop production sometimes does not meet the consumption of people in Asahan Regency (devisit) and sometimes overproduction (surplus). So far, the Agriculture Office of Asahan Regency has predicted the production of food crops only with estimates so that the results are not accurate. Based on these problems, a proper forecasting system is needed so that it is able to predict the production rate of food crops quickly and accurately. Applications are built using Visual Basic Net 2010 and MySQL databases and use the Single Moving Average method. The results of this study can help the Agriculture Office of Asahan Regency in predicting the amount of food crop production in the next period according to the needs.
Keywords : Forecasting, Production, Food Crops, Single Moving Average
Abstrak: Pangan merupakan bahan makanan paling utama yang di butuhkan oleh manusia, selain untuk dikomsumsi, hasil produksi dari tanamana pangan juga dapat dijadikan sebagai sumber usaha dalam perekonomian. Penelitian ini bertujuan untuk melakukan prediksi produksi tanaman pangan pada Dinas Pertanian Kabupaten Asahan. Berdasarkan data produksi tanaman pangan dari tahun 2012 sampai dengan tahun 2019 pada Dinas Pertanian Kabupaten Asahan mengalami naik turun, produksi tanaman pangan terkadang tidak memenuhi konsumsi masyarakat di Kabupaten Asahan (devisit) dan terkadang kelebihan produksi (surplus). Selama ini Dinas Pertanian Kabupaten Asahan melakukan prediksi produksi tanaman pangan hanya dengan perkiraaan-perkiraan saja sehingga hasilnya tidak akurat. Berdasarkan permasalahan tersebut maka dibutuhkan sistem peramalan yang tepat sehingga mampu meramalkan tingkat produksi tanaman pangan dengan cepat dan akurat. Aplikasi dibangun menggunakan Visual Basic Net 2010 dan database MySQL serta menggunakan metode Single Moving Average. Hasil dari penelitian ini dapat membantu Dinas Pertanian Kabupaten Asahan dalam memprediksi jumlah produksi tanaman pangan pada periode berikutnya sesuai dengan kebutuhan.
Kata Kunci : Peramalan, Produksi, Tanaman Pangan, Single Moving Average
Abstract:Technological advancements have had a profound impact on the education sector around the globe including in Thailand and other developing countries. as in many other developing countries, there are major challenges in adapting…
adapting with the rapid development of technology. The school where the community service was held also faced similar issues. With an innovative approach through assessment training using technology, this community engagement activity is expected to be a positive step towards educational transformation, particularly in the southern part of Thailand. With the active involvement of teachers as well as full support from related parties, we can create a learning environment that is more dynamic, relevant, and globally competitive. A pre-test and a post-test were conducted at the beginning and the end of the training to measure teachers’ understanding in implementing digital assessment strategies. By equipping teachers with the knowledge and skills to implement digital assessment strategies, the training has had a measurable impact on professional development and instructional practices. In addition, the training provide access to further consultation or guidance, participants can feel supported and more confident in applying their learning in the classroom. The results of the pre- and post-training survey demonstrated a substantial improvement, averaging 51.3% increase across all survey items. This indicates the positive impact of the training in enhancing teachers' competencies in integrating technology into their assessment practices. Moving forward, schools in rural Thailand can apply the lessons learned from this workshop to enhance their own educational outcomes.
Keywords: teacher training; digital assessment strategies; southern Thailand
Abstrak: Dalam era globalisasi yang semakin cepat, pendidikan adalah salah satu aspek yang paling terpengaruh oleh perkembangan teknologi. Di Thailand Selatan, seperti di banyak negara berkembang, ada tantangan besar dalam dalam beradaptasi dengan perkembangan teknologi yang pesat. Sekolah tempat dimana program pengabdian kepada masyarakat ini dilaksanakan juga menghadapi masalah serupa. Dengan pendekatan inovatif melalui pelatihan penilaian menggunakan teknologi, kegiatan keterlibatan masyarakat ini diharapkan menjadi langkah positif menuju transformasi pendidikan di wilayah Thailand Selatan ini. Dengan keterlibatan aktif dari para guru serta dukungan penuh dari pihak terkait, kita dapat menciptakan lingkungan pembelajaran yang lebih dinamis, relevan, dan kompetitif secara global. Pre-test dan post-test dilakukan di awal dan akhir pelatihan untuk mengukur pemahaman guru dalam menerapkan strategi penilaian digital. Selain itu, pelatihan menyediakan akses ke konsultasi atau bimbingan lebih lanjut, sehingga peserta merasa didukung dan lebih percaya diri dalam menerapkan pembelajaran mereka di kelas. Setelah pelatihan selesai, kedua pihak melakukan evaluasi menyeluruh untuk mengukur keberhasilan, mengidentifikasi area yang perlu perbaikan, dan memberikan dampak yang lebih positif dalam jangka panjang.
Kata kunci: pelatihan guru; strategi penilaian digital; thailand selatan
Abstract:Abstract: Managing fast-moving drug inventory requires accurate supplier selection to ensure product availability and minimize the risk of overstock and out-of-stock conditions. At Annisa Pharmacy, the supplier selection…
process has traditionally relied on experience and subjective judgment, which may lead to less optimal decisions. This study aims to design and implement a Decision Support System (DSS) for selecting fast-moving drug suppliers using the Weighted Product (WP) method. The WP method is applied because it is capable of processing multiple criteria simultaneously through structured weighting, including demand frequency, delivery lead time, remaining shelf life, purchase price, and profit margin. The system is developed as a web-based application using PHP and MySQL. The results show that the implementation of the Weighted Product method successfully produces preference values and accurate supplier rankings, enabling the system to correctly determine the most optimal fast-moving drug supplier based on the defined criteria. Therefore, the developed system can assist the owner of Annisa Pharmacy in making more precise, objective, and structured inventory procurement decisions.
Keywords: decision support system; drug inventory; supplier selection; weighted product.
Abstrak: Pengelolaan stok obat fast moving di Toko Obat Annisa memerlukan ketepatan dalam menentukan supplier agar ketersediaan obat tetap terjaga dan risiko overstock maupun out of stock dapat diminimalkan. Selama ini, proses pemilihan supplier masih dilakukan secara konvensional berdasarkan pengalaman, sehingga berpotensi menghasilkan keputusan yang kurang optimal. Penelitian ini bertujuan untuk merancang dan mengimplementasikan Sistem Pendukung Keputusan (SPK) pemilihan supplier obat fast moving menggunakan metode Weighted Product (WP). Metode WP digunakan karena mampu mengolah beberapa kriteria secara simultan melalui pembobotan yang terstruktur, meliputi frekuensi permintaan, lead time, sisa masa kedaluwarsa, harga beli, dan margin keuntungan. Sistem dikembangkan berbasis web menggunakan bahasa pemrograman PHP dan basis data MySQL. Hasil penelitian menunjukkan bahwa penerapan metode Weighted Product mampu menghasilkan nilai preferensi dan perankingan supplier secara objektif, sehingga sistem berhasil menentukan supplier obat fast moving yang paling optimal sesuai dengan kriteria yang telah ditetapkan. Dengan demikian, sistem yang dibangun dapat membantu pemilik Toko Obat Annisa dalam mengambil keputusan pengadaan stok obat secara lebih tepat, objektif, dan terstruktur.
Kata kunci: sistem pendukung keputusan; toko obat; pemilihan pemasok; weighted product
Abstract:Abstract: Distributors in the Fast Moving Consumer Goods (FMCG) sector, such as CV. Sahabat Jaya Sukses, face significant challenges in inventory control, particularly related to product expiration and stock discrepancies…
s caused by manual recording. This study aims to design and implement a web-based Supply Chain Management (SCM) system that integrates the flow of goods from suppliers to retailers by applying the First Expired First Out (FEFO) method to minimize financial losses due to expired products. The research methodology employs the Waterfall model, which is selected because of its structured and systematic development stages and its suitability for systems with clear and stable requirements, facilitating effective analysis, design, implementation, and testing processes. The research stages include requirements analysis, system design, implementation, and testing. The results show that the SCM system successfully integrates data across the entire supply chain, automates inventory recording, and effectively prioritizes product distribution based on the nearest expiration dates. Black Box testing confirms that all system functionalities, including FEFO logic, operate properly, thereby improving operational efficiency and data accuracy.
Keywords: supply chain management; FEFO; web-based system; distributor; inventory
controls
Abstrak: Distributor di sektor Fast Moving Consumer Goods (FMCG) seperti CV. Sahabat Jaya Sukses menghadapi tantangan dalam pengendalian persediaan, khususnya terkait produk kedaluwarsa dan selisih stok akibat pencatatan manual. Penelitian ini bertujuan merancang dan mengimplementasikan sistem Supply Chain Management (SCM) berbasis web yang mengintegrasikan aliran barang dari pemasok hingga pengecer dengan menerapkan metode First Expired First Out (FEFO) untuk meminimalkan kerugian akibat produk kedaluwarsa. Metodologi penelitian menggunakan model Waterfall yang dipilih karena memiliki tahapan pengembangan yang terstruktur, sistematis, dan sesuai dengan kebutuhan sistem yang jelas serta stabil, sehingga memudahkan proses perancangan, implementasi, dan pengujian. Tahapan penelitian meliputi analisis kebutuhan, desain sistem, implementasi, dan pengujian. Hasil penelitian menunjukkan bahwa sistem SCM berhasil mengintegrasikan data di seluruh rantai pasok, mengotomatisasi pencatatan stok, serta memprioritaskan distribusi barang berdasarkan tanggal kedaluwarsa terdekat. Pengujian Black Box membuktikan bahwa seluruh fungsi sistem, termasuk logika FEFO, berjalan dengan baik sehingga meningkatkan efisiensi operasional dan akurasi data.
Kata kunci: distributor; FEFO; manajemen rantai pasok; pengendalian stok; sistem berbasis web
Abstract:Abstract: Ineffective drug demand management can lead to problems such as imbalanced drug distribution, excess stock, or shortages in community health centers. To address this, data mining can be utilized to support the…
planning and control process of drug inventory. Clustering techniques were chosen because they are able to group drug data based on certain characteristics, thus identifying stable and unstable drug supply patterns. This study aims to group drug data at Simpang Kawat Community Health Center in Jambi City, which can be used as a reference in planning drug needs in the next period. Data grouping is divided into three categories: slow-moving, medium-moving, and fast-moving. The research data includes attributes of drug name, initial stock, receipt, inventory, usage, and final stock, with a total of 1758 data sets, which were processed using the CRISP-DM framework through the RapidMiner application. Cluster quality evaluation was carried out using the Davies-Bouldin Index (DBI). The results showed that the K-Means algorithm obtained a DBI value of 0.175, smaller than K-Medoids which obtained a value of 0.354. Because a smaller DBI value indicates better cluster quality, K-Means provides more optimal clustering results than K-Medoids. Through these clustering results, community health centers can utilize drug cluster information to support more efficient drug procurement planning, as well as reduce the risk of excess or shortage of stock.
Keywords: data mining; clustering; k-means; k-medoids; davies-bouldin index
Abstract:Abstract: The inability to accurately monitor the lifespan of motorcycle batteries can lead to sudden failures, disrupt user activities, and increase maintenance costs. This issue is exacerbated by the absence of a predictive…
ctive system that can assist users and workshops in planning maintenance and managing battery inventory effectively. This study aims to develop a battery lifespan prediction model for motorcycles using the Double Moving Average (DMA) method. The model is built based on historical data from 12 motorcycle units, including usage frequency, duration, terrain conditions, and maintenance habits. Forecasting is conducted through two stages of moving averages followed by trend parameter calculations. Evaluation results show that the model has a high level of accuracy, with MAPE = 0.10, MAD = 1.68, and RMSE = 2.14, indicating very low prediction errors. In addition, DMA is also used to forecast product demand at PT Anugerah Karya Abiwara Kisaran to prevent stock shortages. The system is developed using Visual Studio 2010 and Microsoft Access and has proven effective in supporting maintenance planning and inventory control. With its high accuracy and efficiency, the results of this study provide tangible contributions to decision-making in battery maintenance and inventory management.
Keywords: battery; DMA; motorcycle; prediction.
Abstrak: Ketidakmampuan dalam memantau usia pakai aki sepeda motor secara akurat dapat menyebabkan kerusakan mendadak, mengganggu aktivitas pengguna, serta meningkatkan biaya perawatan. Permasalahan ini diperburuk oleh tidak tersedianya sistem prediktif yang membantu pengguna dan bengkel dalam merencanakan perawatan serta mengelola persediaan aki secara efisien. Penelitian ini bertujuan untuk mengembangkan model prediksi usia pemakaian aki sepeda motor dengan menggunakan metode Double Moving Average (DMA). Model dibangun berdasarkan data historis dari 12 unit sepeda motor yang mencakup frekuensi penggunaan, durasi, kondisi medan dan kebiasaan perawatan. Proses peramalan dilakukan melalui dua tahap perataan bergerak, yang kemudian diikuti dengan perhitungan parameter tren. Hasil evaluasi menunjukkan bahwa model ini memiliki tingkat akurasi yang tinggi, dengan nilai MAPE sebesar 0,10, MAD sebesar 1,68, dan RMSE sebesar 2,14, yang mengindikasikan tingkat kesalahan prediksi yang sangat rendah. Selain itu, metode DMA juga diterapkan untuk meramalkan permintaan produk pada PT Anugerah Karya Abiwara Kisaran guna mencegah terjadinya kekurangan stok. Sistem dikembangkan menggunakan Visual Studio 2010 dan Microsoft Access, serta terbukti efektif dalam mendukung perencanaan perawatan dan pengendalian persediaan. Dengan akurasi dan efisiensi yang tinggi, hasil penelitian ini memberikan kontribusi nyata dalam pengambilan keputusan terkait pemeliharaan aki dan manajemen inventori.
Kata kunci: baterai; DMA; prediksi; sepeda motor.