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All Journal CESS (Journal of Computer Engineering, System and Science) Sistemasi: Jurnal Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA JURIKOM (Jurnal Riset Komputer) JURTEKSI JOURNAL OF SCIENCE AND SOCIAL RESEARCH EDUMATIC: Jurnal Pendidikan Informatika Jurnal Sporta Saintika Journal of Social Responsibility Projects by Higher Education Forum J-Com (Journal of Computer) Journal Of Computer Science And Technology Nuansa Informatika
Muhazir, Ahmad
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences

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Analisis Penjualan Sepeda Motor Di Cv. Honda Karya Utama Berbasis Algoritma Regresi Linier Rhindi, Lira; Fauziah, Rizky; Muhazir, Ahmad
J-Com (Journal of Computer) Vol. 5 No. 2 (2025): JULI 2025
Publisher : STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/j-com.v5i2.4164

Abstract

Abstract: Motorcycle sales are one of the key indicators of growth in Indonesia’s automotive industry. CV. Honda Karya Utama, as an authorized Honda motorcycle dealer, faces challenges due to unstable monthly sales fluctuations. This uncertainty complicates stock planning, marketing strategy formulation, and may lead to potential losses caused by overstocking or understocking. To address these issues, this study aims to analyze the relationship between time and sales volume and to develop a predictive model that can assist management in making more effective business decisions. The research was conducted using a quantitative method and a machine learning approach by applying a linear regression algorithm, implemented through the Python programming language and a MySQL database. The dataset used consists of monthly sales data over one year, analyzed to predict future sales trends. The results show that the linear regression algorithm can predict sales trends with a good level of accuracy, achieving evaluation values of MAPE 1.72%, MSE 1.76%, and RMSE 0.57. The developed model assists management in formulating marketing strategies, optimizing inventory planning, and minimizing financial risks. Therefore, linear regression can serve as an effective analytical tool to support strategic business decision-making at CV. Honda Karya Utama. Keywords: motorcycle sales; linear regression; prediction; sales analysis Abstrak: Penjualan sepeda motor merupakan salah satu indikator penting dalam pertumbuhan industri otomotif di Indonesia. CV. Honda Karya Utama sebagai dealer resmi sepeda motor Honda menghadapi tantangan berupa fluktuasi penjualan yang tidak stabil setiap bulannya. Ketidakpastian ini menyebabkan kesulitan dalam perencanaan stok, penentuan strategi pemasaran, serta berpotensi menimbulkan kerugian akibat kelebihan atau kekurangan persediaan. Untuk mengatasi permasalahan tersebut, penelitian ini bertujuan untuk menganalisis hubungan antara waktu dan jumlah penjualan serta membangun model prediksi yang dapat membantu manajemen dalam pengambilan keputusan bisnis yang lebih efektif. Penelitian dilakukan dengan metode kuantitatif dan pendekatan machine learning menggunakan algoritma regresi linier, dengan implementasi berbasis bahasa pemrograman Python dan basis data MySQL. Data yang digunakan berupa data penjualan bulanan selama satu tahun, yang kemudian dianalisis untuk memprediksi tren penjualan pada periode berikutnya. Hasil penelitian menunjukkan bahwa regresi linier mampu memprediksi tren penjualan dengan tingkat akurasi yang baik, dengan nilai evaluasi MAPE sebesar 1,72%, MSE 1,76%, dan RMSE 0,57. Model ini membantu manajemen dalam menyusun strategi pemasaran, mengoptimalkan perencanaan stok, serta meminimalkan risiko kerugian. Dengan demikian, regresi linier dapat menjadi alat bantu yang efektif dalam mendukung keputusan bisnis di CV. Honda Karya Utama. Kata kunci: penjualan sepeda motor; regresi linier; prediksi; analisis penjualan
Management of Inorganic Fertilizer Raw Materials PT Citra Sawit Indah Lestasi using EOQ Siregar, Dailami Dasuki; Lubis, Rizky Fauziah; Muhazir, Ahmad
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i6.4635

Abstract

PT Citra Sawit Indah Lestari is a business operating in the oil palm plantation sector. Based on initial observations, it turns out that the supply of inorganic fertilizer raw materials at PT Citra Sawit Indah Lestari has not been planned properly so that one time the raw materials run out during the production process, it often happens that excess orders for inorganic fertilizer raw materials result in the raw materials not being able to be used. . And the storage warehouse is full, which will disrupt the operations of raw material collection by employees. The aim of this research is to apply Economic Order Quantity (EOQ) in controlling inorganic fertilizer raw materials at PT Citra Sawit Indah Lestari to maintain the stability of oil palm fruit production. The research method used in this research is qualitative research. The results of this research are that the system designed is in accordance with the needs of PT Citra Sawit Indah Lestari and makes work easier in controlling inorganic fertilizer raw materials. The conclusion is that the application of the Economic Order Quantity method in managing the supply of inorganic fertilizer raw materials at the web-based PT Citra Sawit Indah Lestari makes it easier for business owners to manage fertilizer supplies well so that it is easier to order goods in the next period.
Clustering Analysis Of Toddler Nutritional Status Using The K-Means Method On Posyandu Data Nanda, Yurizka Sri; Rahmadani, Nurul; Muhazir, Ahmad
JURNAL RISET KOMPUTER (JURIKOM) Vol. 12 No. 4 (2025): Agustus 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i4.8947

Abstract

The issue of toddler nutritional status remains a serious concern because it can affect children's health and development, including the risk of stunting and cognitive impairment. At the Tanjung Asri Village Health Center, nutritional status is still recorded manually, which is inefficient and prone to classification errors. This study aims to develop a system for classifying the nutritional status of infants using the K-Means Clustering method based on desktop software to simplify the classification of nutritional status into three categories: malnourished, moderately nourished, and well-nourished. This study uses a quantitative approach with primary data from 100 infants collected through observation and interviews in May and June 2025. The clustering process was performed using RapidMiner with the parameter k = 3. The test results showed that the K-Means method was able to produce accurate centroid centers consistent with manual results. In May 2025, there were 22 infants with poor nutrition, 21 infants with moderate nutrition, and 7 infants with good nutrition, while in June 2025, there were 27 infants with poor nutrition, 8 infants with moderate nutrition, and 15 infants with good nutrition. The developed system has proven effective in supporting the classification and monitoring of infant nutritional status in a more objective and efficient manner.
IMPLEMENTATION OF FUZZY MODEL TAHANI IN DECISION SUPPORT SYSTEM FOR OPTIMAL PRODUCTION SCHEDULING Rizaldi, Rizaldi; Syah, Arridha Zikra; Muhazir, Ahmad
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 11 No. 1 (2024): Desember 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i1.3588

Abstract

Abstract: In the manufacturing industry, production scheduling become an important aspect that affects operational efficiency and customer satisfaction. The main challenge in scheduling is optimizing the use of resources to meet demand by minimizing production costs and time. Suboptimal scheduling can lead to problems such as delays in stocking, stock buildup, and increased operational costs. Thus, a method can to handle the complexity and uncertainty in the production process is needed. The Fuzzy Tahani Model is an approach in decision support systems. this can be used to help companies achieve more efficient and adaptive production scheduling, to consider various variables such as demand, production capacity, and inventory levels. This research aims to develop and implement the model in the context of production scheduling, with the hope of improving operational performance and customer satisfaction. At this time, the proposed Fuzzy Model Tahani technology is in TKT 4, which is the validation stage of technology components in a laboratory environment. The system creates an optimal production schedule based on fuzzy rules and defuzzification results, making it a useful tool for production decisions.Keywords:  fuzzy model tahini; decision support system; production optimization; production scheduling.  Abstrak: Dalam industri manufaktur, penjadwalan produksi adalah aspek penting yang mempengaruhi efisiensi operasional dan kepuasan pelanggan. Tantangan utama dalam penjadwalan adalah mengoptimalkan penggunaan sumber daya untuk memenuhi permintaan dengan meminimalkan biaya dan waktu produksi. Penjadwalan yang tidak optimal dapat menyebabkan masalah seperti keterlambatan pengiriman, penumpukan stok, dan peningkatan biaya operasional. Oleh karena itu, diperlukan suatu metode yang mampu menangani kompleksitas dan ketidakpastian dalam proses produksi. Fuzzy Model Tahani adalah salah satu pendekatan yang dapat digunakan dalam sistem pendukung keputusan untuk membantu perusahaan mencapai penjadwalan produksi yang lebih efisien dan adaptif, dengan mempertimbangkan berbagai variabel seperti permintaan, kapasitas produksi, dan tingkat persediaan. Penelitian ini bertujuan untuk mengembangkan dan mengimplementasikan model tersebut dalam konteks penjadwalan produksi, dengan harapan dapat meningkatkan performa operasional dan kepuasan pelanggan. Pada saat ini, teknologi Fuzzy Model Tahani yang diusulkan berada pada TKT 4, yaitu tahap validasi komponen teknologi dalam lingkungan laboratorium. Sistem ini menciptakan jadwal produksi yang optimal berdasarkan aturan fuzzy dan hasil defuzzifikasi, menjadikannya alat yang berguna untuk pengambilan keputusan produksi.Kata kunci: fuzzy model tahani; optimasi produksi; penjadwalan produksi; sistem pendukung keputusan.
FORECASTING POPULATION GROWTH IN TANJUNG TIRAM USING LEAST SQUARE METHOD Rainah, Rainah; Nofriadi, Nofriadi; Muhazir, Ahmad
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 11 No. 3 (2025): Juni 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i3.3707

Abstract

Abstract: The rapid population growth in Tanjung Tiram District, primarily driven by increased in-migration, demands an accurate forecasting system to support effective and sustainable development planning. This study aims to predict population growth in Tanjung Tiram District in 2024 using the Least Square method. The analysis covers birth, arrival, and migration data from 2019 to 2023. The results show that the Least Square method successfully predicts 936 births, 104 arrivals, and 142 migrations in 2024, with a very low error rate: MAPE for births is 0.01%, arrivals 0.12%, and migrations 0.04%. These research demonstrate that the Least Square method can effectively support data-driven development policies and improve the accuracy of public service distribution planning.         Keywords: forecasting; least square method; population growth; tanjung tiram.  Abstrak: Pertumbuhan penduduk yang pesat di Kecamatan Tanjung Tiram, terutama akibat peningkatan migrasi masuk, menuntut adanya sistem prediksi yang akurat untuk mendukung perencanaan pembangunan yang efektif dan berkelanjutan. Penelitian ini bertujuan untuk memprediksi pertumbuhan penduduk di Kecamatan Tanjung Tiram pada tahun 2024 menggunakan pendekatan metode Least Square. Data yang dianalisis mencakup jumlah kelahiran, kedatangan, dan perpindahan penduduk dari tahun 2019 hingga 2023. Hasil penelitian menunjukkan bahwa metode Least Square mampu memprediksi jumlah kelahiran sebesar 936 jiwa, kedatangan 104 jiwa, dan perpindahan 142 jiwa pada tahun 2024, dengan tingkat kesalahan yang sangat rendah: MAPE untuk kelahiran sebesar 0,01%, kedatangan 0,12%, dan perpindahan 0,04%. Penelitian ini membuktikan bahwa metode Least Square dapat digunakan secara efektif untuk mendukung penyusunan kebijakan pembangunan yang berbasis data dan memperkuat akurasi distribusi layanan publik.Kata kunci: metode least square; peramalan; pertumbuhan penduduk; tanjung tiram.
Sistem Pendukung Keputusan Menggunakan Metode Fuzzy Mamdani Untuk Menentukan Badan Eksekutif Mahasiswa (BEM) Saleh, Khairul; Muhazir, Ahmad; Rianda, Kiki Rizki
CESS (Journal of Computer Engineering, System and Science) Vol. 9 No. 1 (2024): January 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v9i1.53341

Abstract

Badan Eksekutif Mahasiswa merupakan wadah dari seluruh mahasiswa untuk mengembangkan bakat dan kemampuan di Fakultas Teknik Universitas Asahan. Keberadaan ketua BEM selaku ketua organisasi merupakan suatu yang harus benar-benar di pertimbangkan dikarenakan ketua organisasi merupakan salah satu kunci keberhasilan dari suatu organisasi. Namun, dalam menentukan ketua BEM, Universitas Asahan belum memiliki sistem yang akurat dalam melakukan proses seleksi calon ketua BEM. Logika fuzzy merupakan suatu cara untuk memetakan masalah dengan tahapan-tahapan dari pembentukan himpunan fuzzy, pembentukan rule fuzzy dan proses inferensi madani. Tujuan penelitian ini yaitu dengan Logika fuzzy akan mendapatkan hasil yang akurat dan jelas dalam melakukan proses seleksi dalam Kasus penentuan Calon Ketua BEM sesuai variable yang sudah didapatkan.
PENGELOLAAN PERSEDIAAN BAHAN BAKU NON PERISHABLE FOOD MENGGUNAKAN MODEL SCM (STUDI KASUS : RITZ CAFE) Arhani, Riza; Irawati, Novica; Muhazir, Ahmad
J-Com (Journal of Computer) Vol. 3 No. 3 (2023): November 2023
Publisher : STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/j-com.v3i3.2822

Abstract

Abstract: Technological progress and development is increasingly rapid and rapid and cannot be avoided in life. Every innovation is created to bring positive benefits to human life. Ritz Cafe Kisaran is a well-known restaurant and has been established for a long time in Asahan district, but this restaurant does not yet have a computerized raw material inventory management system. The aim of this research is to create a non-perishable food inventory management system using the Supply Chain Management model so that the operational function of raw material inventory management in restaurants becomes more effective, efficient and structured. The research method used in this research is a descriptive method with a qualitative approach and uses data analysis and uses a Supply Chain Management model including planning, procurement, production, warehouse management, order delivery and order returns. The result of this research is a web-based non-perishable food inventory management system that can manage raw material inventory, minimize the occurrence of ordering errors, raw material stock information can be processed automatically, as well as all existing processes in a The restaurant will be well integrated and useful in anticipating errors and losses for Ritz Cafe Kisaran. Keywords: inventory; non perishable food; supply chain management; xampp Abstrak: Kemajuan dan perkembangan teknologi semakin cepat dan pesat serta tidak dapat dihindari dalam kehidupan. Setiap inovasi diciptakan untuk membawa manfaat positif bagi kehidupan manusia. Ritz Cafe Kisaran merupakan salah satu restoran terkenal dan sudah lama berdiri di kabupaten Asahan namun restoran ini belum mempunyai sistem pengelolaan persediaan bahan baku yang terkomputerisasi. Tujuan pada penelitian ini yaitu untuk membuat suatu sistem pengelolaan persediaan bahan baku yang tidak mudah rusak (non perishable food) dengan menggunakan model Supply Chain Management agar fungsi operasional pengelolaan persediaan bahan baku di restoran menjadi lebih efektif, efesien dan terstruktur. Metode penelitian yang digunakan dalam penelitian ini adalah metode deskriptif dengan pendekatan kualitatif dan menggunakan analisis data serta menggunakan model Supply Chain Management meliputi perencanaan, pengadaan (procurement), produksi, pengelolaan gudang, pengiriman pesanan, dan pengembalian pesanan. Hasil dari penelitian ini adalah sebuah sistem pengelolaan persediaan bahan baku yang tidak mudah rusak (non perishable food) berbasis web yang dapat mengelola persediaan bahan baku, meminimalkan terjadinya kesalahan pemesanan, informasi stok bahan baku dapat diolah secara otomatis, serta seluruh proses yang ada di sebuah restoran akan terintegrasi dengan baik serta bermanfaat dalam mengantisipasi kesalahan dan juga kerugian bagi Ritz Cafe Kisaran. Kata Kunci: persediaan; bahan baku tidak mudah rusak; manajemen rantai pasok; xampp 
Penerapan Model Permainan Untuk Meningkatkan Hasil Lompat Jauh Pada Siswa Kelas V Sekolah Dasar Muhazir, Ahmad; Gusril, Gusril; Neldi, Hendri
Jurnal Sporta Saintika Vol 10 No 2 (2025): Jurnal Sporta Saintika Edisi September 2025
Publisher : Departemen Kesehatan Dan Rekreasi Fakultas Ilmu Keolahragaan Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/sporta.v10i2.499

Abstract

This study aimed to improve long jump learning outcomes of fifth-grade students at SD Islam Khairu Ummah Padang through the implementation of a game-based learning model. The research employed Classroom Action Research conducted in two cycles, each consisting of planning, action, observation, and reflection stages. The participants were 36 students. Data were collected through observation and long jump performance tests and analyzed using descriptive, quantitative, and qualitative techniques. The results indicated that the game-based learning model significantly improved students’ learning outcomes. In Cycle I, the average score was 48.92 with a mastery level of 22.22%. After improvements in Cycle II, the average score increased to 83.06, with learning mastery reaching 94.44%. These findings demonstrate that the game-based learning model is effective in enhancing long jump skills among elementary school students.
Co-Authors Anggi Mela Ariska Arhani, Riza Arridha Zikra Syah Chaniago, Audiya Ananda Fauziah, Rizky Guntur Maha Putra Gusril, Gusril Hendri Neldi Irawati, Novica Jeperson Hutahaean Khairul Saleh Lubis, Rizky Fauziah Nanda, Yurizka Sri Nofriadi Nofriadi Novica Irawati Pratiwi, Radila Rahmadani, Nurul Rainah Rainah, Rainah Rhindi, Lira Rianda, Kiki Rizki Rizaldi, Rizaldi Siddik, Mohd Siregar, Dailami Dasuki Syukri Syukri Utami, Lola Citra Yessica Siagian Yustria Handika Siregar